• Sambhaji P. Kaldate, Msc (CS)
• Dr. Rajesh D. Kadam
• Dr. Swati Shiradkar
• Dr. Rajendra Bohra

Due to the COVID-19 pandemic, most educational institutions have transitioned to online platforms for academic activities. Consequently, it is imperative to evaluate the effectiveness of teachers in delivering quality education through this new digital medium. Educational Data Mining (EDM) is a burgeoning field that utilizes data mining techniques to analyze educational data and make informed decisions. EDM can assist in gaining a better understanding of students and their learning processes, facilitate teachers in their academic responsibilities, and enable sound decision-making in educational management. The primary aim of this study is to identify the key factors that impact the quality of teaching in a virtual classroom setting. The research involved collecting data from computer science students who evaluated their teachers in three online semesters at University. A total of 27,622 students participated in the survey, and the study employed Weka, sentimental analysis, and word cloud generator to analyze the data. The decision tree algorithm categorized the factors influencing teachers' performance, and the analysis revealed that the student-faculty relationship was the most significant factor in enhancing teaching quality. The sentimental analysis indicated that approximately 78% of the opinions expressed were positive, with "good" being the most frequently used term. This research will prove useful in improving teachers' overall performance and the quality of their teaching in the event of a future shift towards online education.

SET, Educational Data Mining, World cloud, Sentiment Analysis, WEKA tool

"Analyzing Student Evaluations to identify the most influential factor on teachers by using data mining techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 3, page no.c161-c172, March-2023, Available :http://www.jetir.org/papers/JETIR2303224.pdf

"Analyzing Student Evaluations to identify the most influential factor on teachers by using data mining techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 3, page no. ppc161-c172, March-2023, Available at : http://www.jetir.org/papers/JETIR2303224.pdf