Feedback Analysis of Online Teaching Using SVM

ABSTRACT

Study examined how we can upgrade the quality of online teaching (Feng and Bienkowski in Enhancing teaching and learning through educational data mining and learning analytics. Department of Education, Office of Educational Technology [Feng M, Bienkowski M (2012) Enhancing teaching and learning through educational data mining and learning analytics. Department of Education, Office of Educational Technology]) in the upcoming years. Data were collected through the Google form which were filled up by the students. Feedback is the most important attribute of assessment as it provides students with a statement of their learning and advises how to improve. Result was helping to enhance the quality of online teaching in educational system and also provide the constituent which helps in improving the online teaching. We will use sentiment analysis (Kumar and Nezhurina in Sentiment analysis on tweets for trains using machine learning. Research Gate, p 10 [Kumar S, Nezhurina MI (2020) Sentiment analysis on tweets for trains using machine learning. Research Gate, p 10]) also. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.