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Teacher interventions to enhance the quality of student comments and their effect on prediction performance.

, , and . FIE, page 1-9. IEEE Computer Society, (2016)

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Comments Data Mining for Evaluating Student's Performance., , , and . IIAI-AAI, page 25-30. IEEE Computer Society, (2014)Prediction of Students' Grades Based on Free-Style Comments Data., , , and . ICWL, volume 8613 of Lecture Notes in Computer Science, page 142-151. Springer, (2014)An Efficient Data Mining Technique for Assessing Satisfaction Level of Online Learning for Higher Education Students During the COVID-19., , , and . IEEE Access, (2022)Predicting Student Grade based on Free-style Comments using Word2Vec and ANN by Considering Prediction Results Obtained in Consecutive Lessons., , , and . EDM, page 396-399. International Educational Data Mining Society (IEDMS), (2015)Predicting students' grades based on free style comments data by artificial neural network., , , and . FIE, page 1-9. IEEE Computer Society, (2014)Comment Data Mining to Estimate Student Performance Considering Consecutive Lessons., , and . Educational Technology & Society, 20 (1): 73-86 (2017)Teacher interventions to enhance the quality of student comments and their effect on prediction performance., , and . FIE, page 1-9. IEEE Computer Society, (2016)Evaluation of Effectiveness of Time-Series Comments by Using Machine Learning Techniques., , and . JIP, 23 (6): 784-794 (2015)Efficiency of LSA and K-means in Predicting Students' Academic Performance Based on Their Comments Data., , , and . CSEDU (1), page 63-74. SciTePress, (2014)Correlation of Grade Prediction Performance with Characteristics of Lesson Subject., , , and . ICALT, page 247-249. IEEE Computer Society, (2015)