388
20
16481
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Dublin Core
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Title
A name given to the resource
Faculty Publications
Article
Faculty Publications -Articles
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Poly, Anisha; Nizar Banu, P.K.; Althuniyan, Najla; Azar, Ahmad Taher; Kamal, Nashwa Ahmad
Title
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Fuzzy Logic Approach to Cold-Start Challenges in Deaf and Hard of Hearing Recommender Systems
Date
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01-01-2025
Source
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Engineering, Technology and Applied Science Research;Volume;15;Issue;3;pp.23449-23460
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<a href="https://doi.org/10.48084/etasr.10825" target="_blank" rel="noreferrer noopener">https://doi.org/10.48084/etasr.10825</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105007917815?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105007917815?origin=resultslist</a>
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Poly A., Department of Computer Science, CHRIST (Deemed to be University), India; Nizar Banu P.K., Department of Computer Science, CHRIST (Deemed to be University), India; Althuniyan N., College of Computer and Information Sciences, Prince Sultan University, Riyadh, Saudi Arabia, Automated Systems and Computing Lab (ASCL), Prince Sultan University, Riyadh, Saudi Arabia; Azar A.T., College of Computer and Information Sciences, Prince Sultan University, Riyadh, Saudi Arabia, Automated Systems and Computing Lab (ASCL), Prince Sultan University, Riyadh, Saudi Arabia; Kamal N.A., Faculty of Engineering, Cairo University, Giza, Egypt
Description
An account of the resource
An adaptive e-learning environment faces significant challenges in offering personalized learning resources for Deaf and Hard-Hearing (DHH) learners. These learners exhibit diverse preferences in learning and communication, influenced by their characteristics related to deafness, highlighting the need for personalized educational content. A well-defined learning model is essential to map the characteristics of learners to suitable learning resources, enabling effective recommendations within an e-learning system. This study explores the development of a comprehensive DHH learner model, focusing on the presence of multiple learning preferences based on the VARK (Visual, Aural, Read/Write, and Kinesthetic) learning style model and the effectiveness of fuzzy clustering in capturing the diverse but overlapping preferences. Fuzzy-C-Means (FCM) successfully identified six different but overlapping clusters, indicating that most learners exhibit multimodal learning preferences rather than relying solely on a visual learning style. Cluster centroid analysis reveals that the visual learning style is the most preferred, while aural learning is the least favored among DHH learners. By calculating the overall learning style score based on the fuzzy membership value across all clusters on all four dimensions of VARK, learners' learning style preferences were validated against self-reported data. The evaluation involved a survey of 130 higher secondary DHH students from Kerala, India, yielding promising results (precision: 0.90, recall: 0.84, F1-score: 0.84) on the model's efficiency in identifying the dominant learning style. These findings emphasize the need for adaptive content delivery strategies that integrate text, visual, and interactive elements to enhance the engagement of DHH learners. However, the limited sample size, due to the unavailability of publicly accessible datasets, and the limited number of students in higher secondary education, further highlights the need for accessible and standardized DHH data to advance this research domain. by the authors.
Subject
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adaptive e-learning; cold-start; DHH learner model; fuzzy clustering; learning style; recommendation systems
Publisher
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Dr D. Pylarinos
Relation
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ISSN: 22414487;
Language
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English
Type
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Article
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All Open Access; Gold Open Access
Format
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online
-
Dublin Core
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Title
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
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Title
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Fuzzy Logic Based Energy Storage Management for Parallel Hybrid Electric Vehicle
Subject
The topic of the resource
Energy management strategies; Forward facing; Fuel economy; Fuzzy logic; Optimizing; Power controller
Description
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For the parallel hybrid electric vehicle, the various control strategies for energy management are illustrated with the implementation of fuzzy logic. The controller is designed and simulated in two modes for the economy and fuel optimisation. In order to manage the energy in HEV with three separate energy sources - batteries, Fuel cell and a supercapacitor system, - this article intends to create a fuzzy logic controller. By considering a complete system, the operating efficiency of the components need to be optimized. the control strategy implementation will be performed by the forward-facing approach. The fuel economy is optimised by maximising the operating efficiency in this strategy while other strategies does not have this extra aspect. The ability controller for parallel hybrid vehicles is mentioned in this research to enhance fuel economy. Although the earlier installed power controllers optimise operation, they do not fully utilise the capabilities. Hybrid vehicles can be equipped with a variety of power and energy sources such as batteries, internal combustion engines, fuel cell systems, supercapacitor systems or flywheel systems. The Authors, published by EDP Sciences, 2024.
Creator
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Hussein A.H.A.; Vijaya Rama Raju V.; Saritha G.; Subramani R.; Alsalami Z.
Source
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E3S Web of Conferences, Vol-564
Publisher
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EDP Sciences
Date
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2024-01-01
Identifier
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<a href="https://doi.org/10.1051/e3sconf/202456402011" target="_blank" rel="noreferrer noopener">https://doi.org/10.1051/e3sconf/202456402011</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203799028&doi=10.1051%2Fe3sconf%2F202456402011&partnerID=40&md5=6d15ff90e3d07f080be6604f1d14408f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203799028&doi=10.1051%2fe3sconf%2f202456402011&partnerID=40&md5=6d15ff90e3d07f080be6604f1d14408f</a>
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All Open Access; Gold Open Access
Relation
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ISSN: 25550403
Format
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Online
Language
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English
Type
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Conference paper
Coverage
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Hussein A.H.A., College of Pharmacy, Ahl Al Bayt University, Karbala, Iraq; Vijaya Rama Raju V., Department of EEE, GRIET, Bachupally, Telangana, Hyderabad, India; Saritha G., Sri Sai Ram Institute of Technology, Chennai, India; Subramani R., Department of Mathematics, Christ University, Bangalore, India; Alsalami Z., Department of Computers Techniques Engineering, College of Technical Engineering, The Islamic University, Najaf, Iraq, Department of Computers Techniques Engineering, College of Technical Engineering, The Islamic University of Al Diwaniyah, Al Diwaniyah, Iraq, Department of Computers Techniques Engineering, College of Technical Engineering, The Islamic University of Babylon, Babylon, Iraq
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https://archives.christuniversity.in/files/original/ae4a00ff0dfb55b4b5ef37085ef166a5.png
ae8597b1fb62da5294ca14f6fc0ece85
Dublin Core
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Title
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Patents
Subject
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Patent
Description
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Patent
Patent
Patents
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Title
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Fuzzy logic based system of intelligent electric solar dyer for fruits /
Subject
The topic of the resource
Mechanical Engineering
Description
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"Patent Number: 201941032820, Applicant: S Vairachilai.
The present invention is related to a system of intelligent electric solar dyer for fruits using fuzzy logic based algorithm processed by at least one processor of a central processing unit of the system. The system comprises a photovoltaic system to produce solar radiation system, & an electric generator system, used for direct supply of the electric to the system. The central processing units perform the dying function according to the type of the fruits and with efficient use of the solar energy and electric energy."
Creator
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Samanta, Debabrata.
Source
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<a href="https://drive.google.com/file/d/1I2maJakOQDmhzxAA_qs_7rAvcyMfdD67/view" target="_blank" title="Fuzzy logic based system of intelligent electric solar dyer for fruits /" rel="noreferrer noopener">https://drive.google.com/file/d/1I2maJakOQDmhzxAA_qs_7rAvcyMfdD67/view</a>
Publisher
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Intellectual Property India
Date
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2019-03-14
Language
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English
Type
The nature or genre of the resource
Patent
-
https://archives.christuniversity.in/files/original/f509d7ac1d7e8f82c47dc2205d4a3ffa.png
ae8597b1fb62da5294ca14f6fc0ece85
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Patents
Subject
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Patent
Description
An account of the resource
Patent
Patent
Patents
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Fuzzy logic based system of intelligent electric solar dyer for fruits /
Subject
The topic of the resource
Mechanical Engineering
Description
An account of the resource
Patent Number: 201941032820, Applicant: S Vairachilai.
The present invention is related to a system of intelligent electric solar dyer for fruits using fuzzy logic based algorithm processed by at least one processor of a central processing unit of the system.
Creator
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R, Nismon Rio.
Source
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<a href="https://drive.google.com/file/d/1bR9QIpq9CA7QRJROlAE-5X53aj6FcppY/view" target="_blank" title="Fuzzy logic based system of intelligent electric solar dyer for fruits /" rel="noreferrer noopener">https://drive.google.com/file/d/1bR9QIpq9CA7QRJROlAE-5X53aj6FcppY/view</a>
Publisher
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Intellectual Property India
Date
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2019-03-15
Language
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English
Type
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Patent
-
Dublin Core
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Title
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Faculty Publications
Conference Paper
Faculty Publications- Conference Papers
Dublin Core
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Creator
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Kunwar, Fateh Bahadur; John, Tegil J.; Krishna, G. Venkata; Reddy, Kotte Amaranadha; Srinivas, T. Aditya Sai; Bharti, Sandeep
Title
A name given to the resource
Fuzzy Logic-AHP Hybrid Model for Faculty Performance Evaluation to Enhance Educational Quality in Higher Education
Date
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01-01-2025
Source
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2025 IEEE International Conference on Emerging Trends in Computing and Communication, ETCOM 2025;
Identifier
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<a href="https://doi.org/10.1109/ETCOM66606.2025.11436403" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ETCOM66606.2025.11436403</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105037395939?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105037395939?origin=resultslist</a>
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Kunwar F.B., Greater Noida Institute of Technology, Department of Computer Science and Engineering, Uttar Pradesh, Greater Noida, India; John T.J., Christ University, Department of Computer Science, Karnataka, Bengaluru, India; Krishna G.V., Prasad V Potluri Siddhartha Institute of Technology, Department of CSE (AI&ML), Vijayawada, India; Reddy K.A., School of Advanced Sciences, Kalasalingam Academy of Research and Education, Department of Mathematics, Tamil Nadu, Virudhunagar, India; Srinivas T.A.S., Ravindra College of Engineering for Women, Department of CSE, Kurnool, India; Bharti S., Deewan College, Department of Computer Science and Engineering (CSE), Uttar Pradesh, Meerut, India
Description
An account of the resource
Guaranteeing equitable and precise evaluation of teacher performance is a continual challenge in higher education, as subjective discrimination, uneven metrics, and absence of cohesive frameworks frequently obstruct informed decision-making. A hybrid Fuzzy Logic-Analytic Hierarchy Process (AHP) model is developed to integrate systematic requirement weighting through AHP with the uncertainty management features of fuzzy logic. The method assesses faculty performance across various dimensions, including classroom effectiveness, research output, service involvement, and professional advancement. The integration guarantees impartiality in criterion weighing and adaptability in managing qualitative assessments, resulting in a balanced and thorough evaluation method. The proposed hybrid framework, in contrast to standard models, reduces subjectivity, improves interpretability, and provides greater accuracy in prediction. Experimental findings indicate that the model attains an Accuracy of 96.8%, Precision of 97.2%, Recall of 96.5%, F1score of 96.8%, and AUC of 0.98, surpassing baseline methods like Decision Trees, Logistic Regression, and Support Vector Machines. These findings confirm the resilience and flexibility of the proposed methodology in practical teacher evaluation contexts. The research enhances educational quality and facilitates the integration of hybrid decision-support systems into institutional policy-making and future academic performance evaluations. 2025 IEEE.
Subject
The topic of the resource
Analytic Hierarchy Process (AHP); Criteria Weighting; Educational Quality; Faculty Performance Evaluation; Fuzzy Inference System; Fuzzy Logic; Higher Education Analytics; Hybrid Model; Intelligent Decision Support System; Machine Learning in Education; Membership Functions; Multi-Criteria Decision Making; Robustness Analysis; Sensitivity Analysis
Publisher
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Institute of Electrical and Electronics Engineers Inc.
Relation
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ISBN: 979-833158508-2;
Language
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English
Type
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Conference paper
Rights
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Restricted Access; Hardcopy may be available in the library
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Dublin Core
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Title
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Articles
Article
Faculty Publications -Articles
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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FUZZY MODULARITY AND FUZZY COMPLEMENTS IN FUZZY LATTICES
Subject
The topic of the resource
Fuzzy birkhoff lattice; Fuzzy lattice; Fuzzy left complement; Fuzzy modular pair; Fuzzy right complement
Description
An account of the resource
In this paper, we study the concept of fuzzy modularity in fuzzy lattices. We also define a fuzzy Birkhoff lattice and study fuzzy complements in fuzzy lattices. We prove that the notions of a right and a left complement coincide in a fuzzy lattice I??k University, Department of Mathematics, 2022; all rights reserved
Creator
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Wasadikar M.; Khubchandani P.
Source
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Turkish World Mathematical Society Journal of Applied and Engineering Mathematics, Vol-12, No. 4, pp. 1368-1379.
Publisher
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Isik University
Date
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2022-01-01
Identifier
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<a href="" target="_blank" rel="noreferrer noopener"></a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141288229&partnerID=40&md5=f6a12cc8711e44e5f3d495f72adc3370" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141288229&partnerID=40&md5=f6a12cc8711e44e5f3d495f72adc3370</a>
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Restricted Access
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A related resource
ISSN: 21461147
Format
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Online
Language
A language of the resource
English
Type
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Article
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Wasadikar M., Formerly of Department of Mathematics, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, 431004, India; Khubchandani P., Department of Data Science, Christ (Deemed to be University), Pune Lavasa Campus, India
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Title
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PHD
PhD
PhD Thesis
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61000431
Title
A name given to the resource
Fuzzy Rule-Based Multimodal Health Monitoring System Leveraging Machine Learning Techniques Using Eeg Datasets For Human Emotion And Psychological Disorders
Subject
The topic of the resource
Computer Science and Engineering
Description
An account of the resource
In recent decades, machine learning and data analysis have become increasingly important in mental health for diagnosing and treating psychological disorders. One area of particular interest is the use of electroencephalography (EEG) brainwave data to classify emotional states and predict psychological disorders. This study proposed a data fusion to enhance the precision of emotion recognition. A feature selection strategy using data fusion techniques was implemented, along with a multi-layer Stacking Classifier combining various algorithms such as support vector classifier, Random Forest, multilayer perceptron, and Nu-support vector classifiers. Features were selected based on Linear Regression-based correlation coefficient scores, resulting in a dataset with 39% of the original 2548 features. This framework achieved a high precision of 98.75% in identifying emotions. The study also focused on negative emotional states for recognizing psychological disorders. A Genetic Algorithm (GA) was used for feature selection, and k-means clustering organized the data. The dataset included 707 trials and 2542 unlabeled features. Resampling techniques ensured a balanced representation of emotional states, and GASearchCV optimized Gradient Boosting classifier hyperparameters. The Elbow Method determined the optimal number of k-Means clusters, and resampling addressed class imbalance. GA parameters and gradient- boosting hyperparameters were empirically determined. ROC curves and classification reports evaluated performance, resulting in a high accuracy of 97.21% in predicting psychological disorders. The proposed system employed fuzzy logic to calculate a health score that combines the outputs of the emotional and psychological disorder monitoring models for a multimodal health monitoring system. This
approach provides a more comprehensive assessment of an individual's overall mental health status. The findings suggest that the system achieved high efficiency in predicting emotions, showcasing comprehensive progress in EEG-based emotion analysis and disorder diagnosis. These advancements have potential implications for mental health monitoring and treatment, particularly with the integration of the PHQ-9 Scale and fuzzy logic.
Creator
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Saba, Tahseen
Source
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Author's Submission
Publisher
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Christ(Deemed to be University)
Date
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2024-01-01
Contributor
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Addapalli, V N Krishna and Danti, Ajit
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Open Access
Format
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PDF
Language
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English
Type
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PhD
Identifier
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<a href="http://hdl.handle.net/10603/620497" target="_blank" rel="noreferrer noopener">http://hdl.handle.net/10603/620497</a>
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Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Articles
Article
Faculty Publications -Articles
Dublin Core
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Title
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FUZZY SEMI-ESSENTIAL SUBMODULES AND FUZZY SEMI-CLOSED SUBMODULES
Subject
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Fuzzy prime submodule; fuzzy semi-closed submodule; fuzzy semi-essential submodule
Description
An account of the resource
In this paper, we prove some properties of fuzzy semi-essential submodules and fuzzy semi-closed submodules I??k University, Department of Mathematics, 2023; all rights reserved
Creator
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Nimbhorkar S.K.; Khubchandani J.A.
Source
A related resource from which the described resource is derived
Turkish World Mathematical Society Journal of Applied and Engineering Mathematics, Vol-13, No. 2, pp. 568-575.
Publisher
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Isik University
Date
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2023-01-01
Identifier
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<a href="" target="_blank" rel="noreferrer noopener"></a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153718757&partnerID=40&md5=9d9d9a5a79e48ae53d904f91e5f0898e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153718757&partnerID=40&md5=9d9d9a5a79e48ae53d904f91e5f0898e</a>
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Restricted Access
Relation
A related resource
ISSN: 21461147
Format
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Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Article
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Nimbhorkar S.K., Department of Mathematics, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, 431004, India; Khubchandani J.A., School of Business and Management, Christ (Deemed to be University), Pune Lavasa Campus, India
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Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Conference Papers
Conference Paper
Faculty Publications- Conference Papers
Dublin Core
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Title
A name given to the resource
Gain and bandwidth enhancement by optimizing four elements corporate-fed microstrip array for 2.4GHz applications
Subject
The topic of the resource
Corporate fed; Microstrip array; Rectangular patch; Return loss; VSWR
Description
An account of the resource
This paper presents the performance analysis of an optimized corporate-fed Rectangular Microstrip Antenna Array of four elements and Rectangular Microstrip Antenna array with Semi-Circular Tabs on the nonradiating edges of each element of the array to operate at 2.4 GHz, with detailed steps of the design process. The proposed antenna structures have been designed using FR4 dielectric substrate having a permittivity ?r of 4.4 with a thickness of 1.6 mm. The simulations have been carried out by using Antenna simulator HFSS version 15.0.0 and performance was analyzed for gain, bandwidth, VSWR, return loss and radiation pattern. The gain of these simulated antenna arrays is 2.4381 dB, 8.2684 dB and 8.5621 dB with a return loss of ?22.4123 dB, ?14.1095 dB and ?15.7621 dB for Single-Element patch, conventional Rectangular Microstrip array and Rectangular Microstrip Antenna array with semicircular tabs respectively at 2.4 GHz. Bandwidths exhibited by Single-Element patch, RMSACT and RMSA are 59.8 MHz, 83.9 MHz, and 212.7 MHz, respectively. 2020, Springer Nature Singapore Pte Ltd.
Creator
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Shashi Kumar D.; Suganthi S.
Source
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Lecture Notes in Electrical Engineering, Vol-546, pp. 215-222.
Publisher
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Springer Verlag
Date
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2020-01-01
Identifier
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<a href="https://doi.org/10.1007/978-981-13-6159-3_23" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-13-6159-3_23</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85064848505&doi=10.1007%2F978-981-13-6159-3_23&partnerID=40&md5=a3d0866d30053c90c946d28b3896568a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85064848505&doi=10.1007%2f978-981-13-6159-3_23&partnerID=40&md5=a3d0866d30053c90c946d28b3896568a</a>
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Restricted Access
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A related resource
ISSN: 18761100; ISBN: 978-981136158-6
Format
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Online
Language
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English
Type
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Conference paper
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Shashi Kumar D., Department of ECE, Christ University, Bangalore, India; Suganthi S., Department of ECE, Christ University, Bangalore, India
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Title
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Articles
Article
Faculty Publications -Articles
Dublin Core
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Title
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GaitRec-Net: A Deep Neural Network for Gait Disorder Detection Using Ground Reaction Force
Description
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Walking (gait) irregularities and abnormalities are predictors and symptoms of disorder and disability. In the past, elaborate video (camera-based) systems, pressure mats, or a mix of the two has been used in clinical settings to monitor and evaluate gait. This article presents an artificial intelligence-based comprehensive investigation of ground reaction force (GRF) pattern to classify the healthy control and gait disorders using the large-scale ground reaction force. The used dataset comprised GRF measurements from different patients. The article includes machine learning- and deep learning-based models to classify healthy and gait disorder patients using ground reaction force. A deep learning-based architecture GaitRec-Net is proposed for this classification. The classification results were evaluated using various metrics, and each experiment was analysed using a fivefold cross-validation approach. Compared to machine learning classifiers, the proposed deep learning model is found better for feature extraction resulting in high accuracy of classification. As a result, the proposed framework presents a promising step in the direction of automatic categorization of abnormal gait pattern. 2022 Chandrasen Pandey et al.
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Pandey C.; Roy D.S.; Poonia R.C.; Altameem A.; Nayak S.R.; Verma A.; Saudagar A.K.J.
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PPAR Research, Vol-2022
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Hindawi Limited
Date
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2022-01-01
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<a href="https://doi.org/10.1155/2022/9355015" target="_blank" rel="noreferrer noopener">https://doi.org/10.1155/2022/9355015</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138024638&doi=10.1155%2F2022%2F9355015&partnerID=40&md5=5976153d18699af40373ab262d7d7e9c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138024638&doi=10.1155%2f2022%2f9355015&partnerID=40&md5=5976153d18699af40373ab262d7d7e9c</a>
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All Open Access; Gold Open Access; Green Open Access
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ISSN: 16874757
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Online
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English
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Article
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Pandey C., National Institute of Technology, Meghalaya, India; Roy D.S., National Institute of Technology, Meghalaya, India; Poonia R.C., Department of Computer Science, CHRIST (Deemed to Be University), Hosur Road, Karnataka, Bangalore, India; Altameem A., Department of Computer Science and Engineering, College of Applied Studies and Community Services, King Saud University, Riyadh, 11533, Saudi Arabia; Nayak S.R., Amity School of Engineering and Technology, Amity University Uttar Pradesh, Noida, India; Verma A., Department of Computer Science & Engineering, University Centre for Research & Development, Chandigarh University, Punjab, Mohali, 140413, India; Saudagar A.K.J., Information Systems Department, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11432, Saudi Arabia
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Articles
Article
Faculty Publications -Articles
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Title
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Galerkin finite element analysis of magneto-hydrodynamic natural convection of Cu-water nanoliquid in a baffled U-shaped enclosure
Subject
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Baf?ed U-shaped; Galerkin ?nite element method; Nanoliquid; Natural convection; Nusselt number; Rayleigh number
Description
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In this paper, single-phase homogeneous nanofluid model is proposed to investigate the natural convection of magneto-hydrodynamic (MHD) flow of Newtonian CuH2O nanoliquid in a baffled U-shaped enclosure. The Brinkman model and Wasp model are considered to measure the effective dynamic viscosity and effective thermal conductivity of the nanoliquid correspondingly. Nanoliquid's effective properties such as specific heat, density and thermal expansion coefficient are modeled using mixture theory. The complicated PDS (partial differential system) is treated for numeric solutions via the Galerkin ?nite element method. The pertinent parameters Hartmann number (1 ? Ha ? 60), Rayleigh number (103 ? Ra ? 106) and nanoparticles volume fraction (0% ? ? ? 4%) are taken for the parametric analysis, and it is conducted via streamlines and isotherms. Excellent agreement between numerical results and open literature. It is ascertained that heat transfer rate enhances with Rayleigh number Ra and volume fraction ?, however it is diminished for larger Hartmann number Ha. 2020 Beihang University
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Zaim A.; Aissa A.; Mebarek-Oudina F.; Mahanthesh B.; Lorenzini G.; Sahnoun M.; El Ganaoui M.
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Propulsion and Power Research, Vol-9, No. 4, pp. 383-393.
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Elsevier Ltd
Date
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2020-01-01
Identifier
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<a href="https://doi.org/10.1016/j.jppr.2020.10.002" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.jppr.2020.10.002</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097766438&doi=10.1016%2Fj.jppr.2020.10.002&partnerID=40&md5=f9e1c5fb04a4c6269c460406f1c03f32" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097766438&doi=10.1016%2fj.jppr.2020.10.002&partnerID=40&md5=f9e1c5fb04a4c6269c460406f1c03f32</a>
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All Open Access; Gold Open Access; Green Open Access
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ISSN: 2212540X
Format
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Online
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English
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Article
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Zaim A., BLSTE Laboratory, Faculty of Science and Technology, University of Mascara, Mascara, Algeria; Aissa A., Laboratoire de Physique Quantique de La Matie et Modisation Mathatique (LPQ3M), UniversitMustapha Stambouli de Mascara, Mascara, Algeria; Mebarek-Oudina F., Department of Physics, Faculty of Sciences, University of 20 Ao 1955-Skikda, Skikda, 2100, Algeria, Laboratoire des Matiaux et Gie Energique (LMGE), University of 20 Ao 1955-Skikda, Skikda, 2100, Algeria; Mahanthesh B., Department of Mathematics, CHRIST (Deemed to Be University), Bangalore, 560029, India; Lorenzini G., Department of Engineering and Architecture, University of Parma, Parco Area Delle Scienze 181/A, Parma, 43124, Italy; Sahnoun M., Laboratoire de Physique Quantique de La Matie et Modisation Mathatique (LPQ3M), UniversitMustapha Stambouli de Mascara, Mascara, Algeria; El Ganaoui M., Laboratoire ergique de Longwy (FJV/LERMAB), Universitde Lorraine, France
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Reviews
Review
Faculty Publications- Reviews
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Title
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GalNAc-siRNA conjugates: Prospective tools on the frontier of anti-viral therapeutics
Subject
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GalNac conjugate; Hepatitis B; Hepatocytes; SiRNA; Virus
Description
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The growing use of short-interfering RNA (siRNA)-based therapeutics for viral diseases reflects the most recent innovations in anti-viral vaccines and drugs. These drugs play crucial roles in the fight against many hitherto incurable diseases, the causes, pathophysiologies, and molecular processes of which remain unknown. Targeted liver drug delivery systems are in clinical trials. The receptor-mediated endocytosis approach involving the abundant asialoglycoprotein receptors (ASGPRs) on the surfaces of liver cells show great promise. We here review N-acetylgalactosamine (GalNAc)-siRNA conjugates that treat viral diseases such as hepatitis B infection, but we also mention that novel, native conjugate-based, targeted siRNA anti-viral drugs may also cure several life-threatening diseases such as hemorrhagic cystitis, multifocal leukoencephalopathy, and severe acute respiratory syndrome caused by coronaviruses and human herpes virus. 2021 Elsevier Ltd
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Thangamani L.; Balasubramanian B.; Easwaran M.; Natarajan J.; Pushparaj K.; Meyyazhagan A.; Piramanayagam S.
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Pharmacological Research, Vol-173
Publisher
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Academic Press
Date
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2021-01-01
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<a href="https://doi.org/10.1016/j.phrs.2021.105864" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.phrs.2021.105864</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114692125&doi=10.1016%2Fj.phrs.2021.105864&partnerID=40&md5=018e550bd85fe60324a2a8024e78d290" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114692125&doi=10.1016%2fj.phrs.2021.105864&partnerID=40&md5=018e550bd85fe60324a2a8024e78d290</a>
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All Open Access; Green Open Access
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ISSN: 10436618; PubMed ID: 34474100; CODEN: PHMRE
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Online
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English
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Review
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Thangamani L., Computational Biology Lab, Department of Bioinformatics, Bharathiar University, Coimbatore, 641046, Tamil Nadu, India; Balasubramanian B., Department of Food Science and Biotechnology, College of Life Science, Sejong University, Seoul, 05006, South Korea; Easwaran M., International Centre for Genetic Engineering and Biotechnology, 110067, New Delhi, India; Natarajan J., Data Mining and Text Mining Laboratory, Department of Bioinformatics, Bharathiar University, Coimbatore, 641046, Tamil Nadu, India; Pushparaj K., Department of Zoology, School of Biosciences, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, 641043, Tamil Nadu, India; Meyyazhagan A., Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, 560029, Karnataka, India; Piramanayagam S., Computational Biology Lab, Department of Bioinformatics, Bharathiar University, Coimbatore, 641046, Tamil Nadu, India
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Title
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Faculty Publications
Book Chapter
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Kumar, Vikas; Kiran, P.B. Narendra; Yadav, Pinnika Syam; Malhi, Ashok; Bisht, Deepak
Title
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Game On: Cutting Edge Gamification Techniques to Boost Service Quality and Maximize Ecosystem Engagement
Date
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01-01-2025
Source
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Gamification Practices for Service Ecosystem Experiences;pp.169-192
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<a href="https://doi.org/10.4018/979-8-3373-1235-4.ch006" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-1235-4.ch006</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105022764645?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105022764645?origin=resultslist</a>
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Kumar V., Mittal School of Business, Lovely Professional University, India; Kiran P.B.N., Christ University, India; Yadav P.S., Christ University, India; Malhi A., Mittal School of Business, India; Bisht D., Mittal School of Business, India
Description
An account of the resource
This chapter explores gamification's potential to enhance service quality and maximize ecosystem engagement. By utilizing game mechanics like points, badges, and challenges, organizations can create immersive experiences that boost productivity, loyalty, and customer satisfaction. Through case studies, the chapter highlights successful gamification implementations and best practices. It also addresses psychological and behavioral aspects, emphasizing personalized experiences. Ethical considerations and potential pitfalls are discussed to provide a balanced view. Ultimately, the chapter offers a roadmap for leveraging gamification to drive meaningful engagement and improve service quality. 2026, IGI Global Scientific Publishing. All rights reserved.
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IGI Global
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ISBN: 979-833731237-8; 979-833731235-4;
Language
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English
Type
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Book chapter
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Restricted Access; Hardcopy may be available in the library
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Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
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Title
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Game Rules Prediction Winning Strategies Using Decision Tree Algorithms
Subject
The topic of the resource
Batsman; Clustering; Indian Premiere League; Profiling; Sport
Description
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With the availability of extensive data spanning over the years, sports have become an emerging field of research. The application of analytics in cricket has become prominent over the years. Cricket, the most loved sport in India, draws the attention of fans worldwide. The Indian Premier League is no exception. Created in 2008, this franchise-based T20 format of cricket has gripped the attention of cricket enthusiasts. With ardent fans cheering for their favorite teams, teams have mounting pressure to maintain their winning streak. One such team is the beloved Chennai Super Kings. Statistical techniques for winner prediction have become popular over the last decade. In this study, we try to frame decision rules for IPL teams to win a series using the CART algorithm. By considering Chennai Super Kings, this study aims to understand the criteria for winning and identify potential weaknesses, allowing the team to predict the likelihood of winning the IPL series. 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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Mansurali A.; Harish V.; Hussain S.; Sharma R.
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Communications in Computer and Information Science, Vol-1742 CCIS, pp. 12-23.
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Springer Science and Business Media Deutschland GmbH
Date
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2022-01-01
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<a href="https://doi.org/10.1007/978-3-031-23647-1_2" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-23647-1_2</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146703191&doi=10.1007%2F978-3-031-23647-1_2&partnerID=40&md5=03fb8ac11dae7fb0ba1bf93398a89df5" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146703191&doi=10.1007%2f978-3-031-23647-1_2&partnerID=40&md5=03fb8ac11dae7fb0ba1bf93398a89df5</a>
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Restricted Access
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ISSN: 18650929; ISBN: 978-303123646-4
Format
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Online
Language
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English
Type
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Conference paper
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Mansurali A., School of Business and Management, Christ University, Bangalore, India; Harish V., PSG Institute of Management PSG College of Technology, Coimbatore, India; Hussain S., School of Business and Management, Christ University, Bangalore, India; Sharma R., Himalayan School of Management Studies, Swami Rama Himalayan University, Dehradun, India
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Title
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Faculty Publications
Article
Faculty Publications -Articles
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Mohmedmhdi, Haassan; Swathi, P.; Praveenraj, D. David Winster; Thayumanavan, Kumaran; Kannan, A.S.; Sachdeva, Lalit
Title
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Gamification Analytics for Enhancing Engagement in Digital Repositories
Date
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01-01-2025
Source
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Indian Journal of Information Sources and Services;Volume;15;Issue;3;pp.248-256
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<a href="https://doi.org/10.51983/ijiss-2025.IJISS.15.3.28" target="_blank" rel="noreferrer noopener">https://doi.org/10.51983/ijiss-2025.IJISS.15.3.28</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105020414703?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105020414703?origin=resultslist</a>
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Mohmedmhdi H., Department of Computers Techniques Engineering, College of Technical Engineering, Islamic University in Najaf, Najaf, Iraq, Department of Computers Techniques Engineering, College of Technical Engineering, Islamic University in Najaf of Al Diwaniyah, Al Diwaniyah, Iraq; Swathi P., School of Business and Management, Kristu Jayanti Deemed to be University, Bangalore, India; Praveenraj D.D.W., School of Business and Management, CHRIST University, Bangalore, India; Thayumanavan K., Department: Management Studies, Velammal College of Engineering and Technology (Autonomous), Madurai, India; Kannan A.S., Department of Management Studies, New Prince Shri Bhavani College of Engineering and Technology, Chennai, India; Sachdeva L., Department of Management, Kalinga University, Chhattisgarh, Naya Raipur, India
Description
An account of the resource
Digital repositories are critical in storing and distributing of scholarly materials and research data applicable in different fields. One thing, which is a problem despite the academic setting, is the need to sustain a user activity as the motivation to use a repository is not always consistent. One of the issues that could be solved with the help of Gamification is the need to maintain interaction by incorporating game elements into non-game contexts. This article presents a discussion on enhancing interaction with digital repository users and finding information using gamification analytics. By capturing real-time data and making behavioral decisions, we will learn how users engage with the gamification capabilities, such as earning points, badges, leaderboard position, and tracking achievements. This paper will use case study as a research design to investigate the impact of game-like characteristics integrated in an academic repository system. Key performance indicators (KPIs) that are used to measure levels of user motivation and engagement are session time, frequency of visits, and depth of reading. The findings show that the users experienced more active and content-oriented discovery experiences in comparison to the repository when it was configured in relation to their preferences and objectives using user-centered gamification strategies. Also, the study stresses the necessity of constant evaluation and flexible structures to track engagement over a longer period. This study also contributes to the knowledge of digital library sciences by forming a model of introducing gamification strategies into management systems based on data analysis. The results show that analytics can be used as evaluative measures of participation and as evaluative criteria for adjusting designs and enhancing the experience. The Research Publication,.
Subject
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Academic Libraries; Analytics; Digital Repositories; Gamification; Information Retrieval; User Behavior; User Engagement
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The Research Publication
Relation
A related resource
ISSN: 22316094;
Language
A language of the resource
English
Type
The nature or genre of the resource
Article
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All Open Access; Hybrid Gold Open Access
Format
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online
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Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Conference Papers
Conference Paper
Faculty Publications- Conference Papers
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Gamification and Game-Based Learning: A Systematic Review and Comparative Analysis
Subject
The topic of the resource
augmented reality; education; education; educational games; engagement; game learning; game mechanics; game-based learning; gamification; interactivity; learning process; levels; motivation; sets of points; training; virtual reality
Description
An account of the resource
In the modern world, characterized by the rapid development of technology and digitalization of almost all spheres of life, it is necessary to keep up with the times and gradually introduce information technology into our lives. This will allow us to remain competitive in a changing world, take advantage of new opportunities and improve our quality of life. It is important to understand that information technology is not just a fashion trend, but a necessary tool for successful development and progress. The paper examines the very concept of gamification, the main methods of introducing gamification into education, highlights the advantages of learning with the addition of gamification, and also works on comparing learning with and without gamification elements. The introduction of game elements into the educational process helps to improve the perception of educational material, as well as increase the level of motivation of the students themselves. It is worth noting that the learning process with the addition of game elements helps to improve attention, develop logical thinking, as well as analyze various situations. Gamification can be viewed from several angles. For a teacher, this teaching method will help to capture the attention of children, which will help create a working atmosphere in the classroom. And for students, gamification is a great opportunity to explore really important topics in game mode. They will have an increased interest in learning, which will have a beneficial effect on their further academic performance and learning. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
Creator
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Lapina M.; Mary Anita E.A.; Bagautdinova A.; Pukhova M.
Source
A related resource from which the described resource is derived
Lecture Notes in Networks and Systems, Vol-1222 LNNS, pp. 522-528.
Publisher
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Springer Science and Business Media Deutschland GmbH
Date
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2025-01-01
Identifier
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<a href="https://doi.org/10.1007/978-3-031-78776-8_53" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-78776-8_53</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215513777&doi=10.1007%2F978-3-031-78776-8_53&partnerID=40&md5=e3619c2026bc4bff7a52c4d1e6930478" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215513777&doi=10.1007%2f978-3-031-78776-8_53&partnerID=40&md5=e3619c2026bc4bff7a52c4d1e6930478</a>
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Restricted Access
Relation
A related resource
ISSN: 23673370; ISBN: 978-303178775-1
Format
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Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Conference paper
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Lapina M., North-Caucasus Federal University, Stavropol, Russian Federation; Mary Anita E.A., Christ University, Bangalore, India; Bagautdinova A., North-Caucasus Federal University, Stavropol, Russian Federation; Pukhova M., University Under the Government of the Russian Federation, Moscow, Russian Federation
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Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Faculty Publications
Conference Paper
Faculty Publications- Conference Papers
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Creator
An entity primarily responsible for making the resource
Lapina, Maria; Mary Anita, E.A.; Bagautdinova, Alina; Pukhova, Marina
Title
A name given to the resource
Gamification and Game-Based Learning: A Systematic Review and Comparative Analysis
Date
A point or period of time associated with an event in the lifecycle of the resource
01-01-2025
Source
A related resource from which the described resource is derived
Lecture Notes in Networks and Systems;Volume;1222 LNNS;pp.522-528
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1007/978-3-031-78776-8_53" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-78776-8_53</a> <br /><br /><a href="https://www.scopus.com/pages/publications/85215513777?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85215513777?origin=resultslist</a>
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The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Lapina M., North-Caucasus Federal University, Stavropol, Russian Federation; Mary Anita E.A., Christ University, Bangalore, India; Bagautdinova A., North-Caucasus Federal University, Stavropol, Russian Federation; Pukhova M., University Under the Government of the Russian Federation, Moscow, Russian Federation
Description
An account of the resource
In the modern world, characterized by the rapid development of technology and digitalization of almost all spheres of life, it is necessary to keep up with the times and gradually introduce information technology into our lives. This will allow us to remain competitive in a changing world, take advantage of new opportunities and improve our quality of life. It is important to understand that information technology is not just a fashion trend, but a necessary tool for successful development and progress. The paper examines the very concept of gamification, the main methods of introducing gamification into education, highlights the advantages of learning with the addition of gamification, and also works on comparing learning with and without gamification elements. The introduction of game elements into the educational process helps to improve the perception of educational material, as well as increase the level of motivation of the students themselves. It is worth noting that the learning process with the addition of game elements helps to improve attention, develop logical thinking, as well as analyze various situations. Gamification can be viewed from several angles. For a teacher, this teaching method will help to capture the attention of children, which will help create a working atmosphere in the classroom. And for students, gamification is a great opportunity to explore really important topics in game mode. They will have an increased interest in learning, which will have a beneficial effect on their further academic performance and learning. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
Subject
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augmented reality; education; education; educational games; engagement; game learning; game mechanics; game-based learning; gamification; interactivity; learning process; levels; motivation; sets of points; training; virtual reality
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Springer Science and Business Media Deutschland GmbH
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ISSN: 23673370; ISBN: 978-303178775-1;
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English
Type
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Conference paper
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Restricted Access; Hardcopy may be available in the library
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Faculty Publications- Book Chapter
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The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
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Gamification for industry 5.0 at the core of society 5.0
Description
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Gamification has become a popular approach to engage employees, customers, and other stakeholders in various industries. With the advent of Industry 5.0 and Society 5.0, the use of gamification is expected to increase, as companies and organizations look for innovative ways to enhance productivity, creativity, and collaboration. Industry 5.0 is the next phase of industrial development, characterized by the integration of advanced technologies, such as AI, IoT, and robotics, with human skills and creativity. Society 5.0, on the other hand, refers to a human-centered society that leverages technology to create solutions for social problems. This chapter explores the potential of gamification in the context of Industry 5.0 and Society 5.0. It discusses the various applications of gamification, including training, education, marketing, and sustainability. It also examines the benefits of gamification, such as increased engagement, motivation, and collaboration. 2023 by IGI Global. All rights reserved.
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Arumugam S.K.; Tyagi A.K.
Source
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Concepts, Technologies, Challenges, and the Future of Web 3, pp. 307-336.
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IGI Global
Date
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2023-01-01
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<a href="https://doi.org/10.4018/978-1-6684-9919-1.ch016" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/978-1-6684-9919-1.ch016</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173442650&doi=10.4018%2F978-1-6684-9919-1.ch016&partnerID=40&md5=712e5dc1f9c7e5e6d9309fb4ff5d850f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173442650&doi=10.4018%2f978-1-6684-9919-1.ch016&partnerID=40&md5=712e5dc1f9c7e5e6d9309fb4ff5d850f</a>
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Restricted Access
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ISBN: 978-166849920-7; 978-166849919-1
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Online
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English
Type
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Book chapter
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Arumugam S.K., CHRIST University (Deemed), Bharathiar University, India; Tyagi A.K., Department of Fashion Technology, National Institute of Fashion Technology, New Delhi, India
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Faculty Publications
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Irfan, Mohammad; Singh, Apoorv; Agarwal, Kamal Kumar; Yadav, Ajay; Dias, Rui
Title
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Gamification for Tomorrow: Investigating Emerging Trends and Sustainable Strategies in Complex Service Ecosystems
Date
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01-01-2025
Source
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Gamification Practices for Service Ecosystem Experiences;pp.221-242
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<a href="https://doi.org/10.4018/979-8-3373-1235-4.ch008" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-1235-4.ch008</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105022772459?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105022772459?origin=resultslist</a>
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Irfan M., Chandigarh University, Lucknow, India; Singh A., Christ University, Bengaluru, India; Agarwal K.K., Presidency University, Bangalore, India; Yadav A., Chandigarh University, Lucknow, India; Dias R., Universidade Europeia de Lisboa, Portugal
Description
An account of the resource
Gamification is transforming service ecosystems by enhancing engagement and promoting sustainability. This research examines how elements like challenges, rewards, and feedback loops are integrated into healthcare, education, and environmental management. By driving motivation and participation, gamification improves outcomes and fosters community involvement in sustainability efforts. However, its long-term impact depends on overcoming challenges such as the need for standardized frameworks, ethical concerns over user autonomy, and data privacy risks. Emerging technologies like artificial intelligence (AI) and augmented reality (AR) are reshaping gamified experiences, offering personalized and immersive solutions that encourage sustainable behavior. This study underscores the opportunities and responsibilities associated with gamification, highlighting its potential to drive innovation while emphasizing ethical implementation and adaptability to evolving technologies. 2026, IGI Global Scientific Publishing. All rights reserved.
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IGI Global
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ISBN: 979-833731237-8; 979-833731235-4;
Language
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English
Type
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Book chapter
Rights
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Restricted Access; Hardcopy may be available in the library
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Book Chapter
Book Chapter
Faculty Publications- Book Chapter
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Gamification in Education and Its Impact on Student MotivationA Critical Review
Subject
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Academic achievement; Classrooms; Education; Games; Gamification; Learning; Students
Description
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In education, gamification refers to including game characteristics and design ideas in the classroom setting. Over the previous five years, gamification has increased student motivation and academic performance. This study will examine the previous literature to see how gamification will disseminate over time, educational level (from nursery to college), causes, and the most frequently used game elements. A systematic literature review will search interdisciplinary databases for quantitative experimental studies examining educational gamification and providing information on current research lines. According to the findings of a comprehensive research study, gamification can be advantageous at all academic levels, from elementary school to college. Following systematic research, gamified learning can increase students motivation and intellectual accomplishment. Student learning may be made more pleasurable via gamification, which is the first advantage of this type of instruction. When used in the classroom, gamification can assist students who are weak in motivation and performing poorly academically. Because of the diversity of challenges and rewards that gaming parts provide, incorporating gaming elements into the classroom may serve as a motivational tool for students to learn. In the study's findings, students who enrolled in educational gamification courses were shown to be more interested and participatory than students enrolled in regular classrooms, on average. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Creator
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Ansar M.; George G.
Source
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Lecture Notes in Networks and Systems, Vol-478, pp. 161-170.
Publisher
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Springer Science and Business Media Deutschland GmbH
Date
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2023-01-01
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<a href="https://doi.org/10.1007/978-981-19-2940-3_11" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-19-2940-3_11</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85139087739&doi=10.1007%2F978-981-19-2940-3_11&partnerID=40&md5=6aaf25629ed5d292099963f0a089bc12" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85139087739&doi=10.1007%2f978-981-19-2940-3_11&partnerID=40&md5=6aaf25629ed5d292099963f0a089bc12</a>
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Restricted Access
Relation
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ISSN: 23673370
Format
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Online
Language
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English
Type
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Book chapter
Coverage
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Ansar M., Research Scholar, Department of Commerce, CHRIST (Deemed to be University), Bangalore, India; George G., Asst. Professor, Department of Commerce, CHRIST (Deemed to be University), Bangalore, India