The Effect of Automatic Feedback System on Students’ Comments to Improve their Performance

Shaymaa EzzElarab Sorour, Hanan Abdelkader


This research deeply focuses on understanding student performance by giving automatic feedback after writing freestyle comment data in each lesson. Writing comments express students’ learning activities, tendencies, attitudes, and situations involved with the lesson. Random Forest and Support Vector Machine were applied to analyze the students’ prediction results. Also, a Majority Vote (MV) method is employed in consecutive lessons during the semester to the predicted results. The proposed system tracks student's learning activities and attitudes with different courses and provides valuable feedback to improve the educational performance.

Keywords— Automatic feedback, Comment data, SVM, RF, MV

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The ASEE Computers in Education (CoED) Journal
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