Enhancing Faculty Performance Appraisals with Sentiment Analysis and Data Visualization for Evaluating Teaching Effectiveness

An essential part of educational institutions is evaluating faculty performance, which provides insightful views on the effectiveness of instruction and the standard of education. Understanding students’ sentiments toward faculty members is essential to fostering a supportive learning environment and advancing the quality of instruction. This study examines how faculty members’ performance is evaluated utilizing word clouds, sentiment analysis, and visualization tools. The researchers employ VADER (Valence Aware Dictionary and Sentiment Reasoner), a sentiment analysis tool, to ascertain the attitudes expressed in the students’ remarks. Word clouds were created to graphically depict the words that appear most frequently in these comments. Finally, we computed the mean rating for each question and presented our findings through informative graphs. Our research aims to reduce the disparity between traditional evaluation methods and contemporary digital approaches. Using sentiment analysis’s analytical powers and visualization’s communicative potential, we hope to improve the efficacy and granularity of teacher performance evaluations. Ultimately, this will foster a culture of excellence and ongoing development in higher education.