Impact of Expert Academic Teaching Quality and its Performance Based on BiLSTM-Deep CNN Network
- Title
- Impact of Expert Academic Teaching Quality and its Performance Based on BiLSTM-Deep CNN Network
- Creator
- Shukla T.D.; Acharjee P.B.; Chethan C.; Thulasimani T.; Sindhu M.; Sharma S.
- Description
- Undergraduate and postgraduate students from eight different departments at a UK institution participated in organized conversations about the impact of teachers' research activities on their education. In both samples, positive responses greatly outnumbered negative ones. There was an increase in positive feedback on professors' research when the overall quantity and quality of research in a specific field (as measured by Research Assessment Exercise [RAE] ratings) improved. Undergraduate samples with higher RAE scores were more likely to have negative feedback on research than graduate student samples. Both graduate and undergraduate students agreed that lecturers' research increased the instructor's credibility, relevance, and knowledge, as well as piqued and maintained their own interest, engagement, and drive. Data processing, feature selection, and model training are the first steps in the proposed approach. The data are changed from their raw form into a form suitable for academic use during the data pre-processing phase. They are employing Information Gain and Symmetric Uncertainty for feature selection. Following the feature selection process, the models are trained using BiLSTM-CNN. Both the BiLSTM and the CNN methods are inferior to the proposed method. 2023 IEEE.
- Source
- 7th International Conference on Electronics, Communication and Aerospace Technology, ICECA 2023 - Proceedings, pp. 895-900.
- Date
- 2023-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- Bidirectional Long Short-Term Memory (LSTM); Convolutional Neural Network (CNN); Information Gain (IG)
- Coverage
- Shukla T.D., University Institute of Teachers Training & Research, Chandigarh University, Mohali, India; Acharjee P.B., CHRIST University, Pune, India; Chethan C., Sri Venkateshwara College of Engineering, Department of Information Science and Engineering, Bengaluru, India; Thulasimani T., Bannari Amman Institute of Technology, Department of Mathematics, Tamilnadu, Sathyamangalam, India; Sindhu M., Prince Shri Venkateshwara Padmavathy Engineering College, Department of Computer Science and Engineering, Chennai, India; Sharma S., Madhav Institute of Technology and Science, Department of IT, Madhya Pradesh, Gwalior, India
- Rights
- Restricted Access
- Relation
- ISBN: 979-835034060-0
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Shukla T.D.; Acharjee P.B.; Chethan C.; Thulasimani T.; Sindhu M.; Sharma S., “Impact of Expert Academic Teaching Quality and its Performance Based on BiLSTM-Deep CNN Network,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 25, 2025, https://archives.christuniversity.in/items/show/19701.