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 Ravi Kumar, P.; Acharjee, Purnendu Bikash; Kar, Rohit; Alam, Mohammad Shabbir; Santhoshkumar, M.P.; Sethumadhavan, R. Title A name given to the resource Factors Affecting Predicting Teacher Evaluation in Higher Educational Institutions Among Faculty Members based on SA-BiLSTM 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 2025 International Conference on Intelligent Computing and Knowledge Extraction, ICICKE 2025; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICICKE65317.2025.11136199" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICICKE65317.2025.11136199</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105022260221?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105022260221?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Ravi Kumar P., KPR Institute of Engineering and Technology, Department of Electrical and Electronics Engineering, Coimbatore, India; Acharjee P.B., CHRIST University, Department of Computer Science, Bangalore, India; Kar R., St. Claret College, Department of Management, Bangalore, India; Alam M.S., Jazan University, College of Computer Science and Information Technology, Department of Computer Science, Jizan, Saudi Arabia; Santhoshkumar M.P., Prince Shri Venkateshwara Padmavathy Engineering College, Department of Computer Science, Chennai, India; Sethumadhavan R., Dayananda Sagar College of Engineering, Department of Master of Business Administration, Bangalore, India Description An account of the resource To keep up with good teaching standards and pedagogical improvements, it is vital to predict assessment of higher education teachers. Based on principles of pragmatism, psychology, and pedagogy, this research should contribute to the development of diagnostic procedures and training standards that may be used in many educational settings. Because of the three-tiered speciality training architecture used to prepare teachers in master's degree programs in education in Ukraine, institutions there require a differentiated approach. Model training, feature extraction, and preprocessing are all parts of the proposed methodology. While translating, cleaning, reducing, and normalising data is part of data preparation, feature selection uses correlation and mutual information criteria to establish the significance of variables. Following feature selection using information gain, the SA-BiLSTM model begins training. Different institutional features were associated with unique approaches to teacher preparation, according to a comparison of active empathy and the growth of pedagogical reflection. The SA-BiLSTM model outperforms SA and BiLSTM when it comes to predicting teacher ratings. The results show how important it is to have different levels of individualised strategies for preparing teachers. Institutions can improve training and instruction with the support of the predictive approach, which better evaluates teachers. 2025 IEEE. Subject The topic of the resource educational data mining (EDM); higher educational institutions (HEI); mutual information (MI); self-cure network (SCN) Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833153681-7; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online