Analyzing Curriculum Perceptions in Teacher Education Programs Across Maharashtra, India: An Innovative Approach with Machine Learning Tools and NLP
摘要
A study was conducted to assess teacher trainees’ sentiments on the key parameters of the Teacher Education Program curriculum. Interviews with ten principals from Teacher Education Institutions identified five key parameters integral to curriculum evaluation: Digital Tools, Pedagogical Techniques, Special Education, Interdisciplinary Learning, and Active Learning. The study used Vosviewer to identify 228 research studies and PRISMA model to filter the related reviews. The study used Azure machine learning tools to conduct sentiment analysis of the feedback from 521 teacher trainees across 52 TEIs (Teacher Education Institutes) in Maharashtra, India, using bilingual Google Forms and NLP (Natural Language Processing) techniques to analyze textual data and identify polarity. The result shows the curriculum’s positive aspects align with current educational trends, demonstrating the program’s commitment to preparing educators for evolving teaching methods.