Predicting student performance in computing courses based on programming behavior
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DOI: 10.1002/cae.22519
Abstract: In the context of programming language courses, offering early and personalized assistance to students with difficulties in solving code exercises is fundamental to helping them improve their performance. To this end, it is desirable to… read more here.
Keywords: courses based; predicting student; performance computing; computing courses ... See more keywords
Predicting student success by modeling student interaction in asynchronous online courses
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DOI: 10.1080/01587919.2017.1299562
Abstract: Abstract Early-warning intervention for students at risk of failing their online courses is increasingly important for higher education institutions. Students who show high levels of engagement appear less likely to be at risk of failing,… read more here.
Keywords: student; online courses; student interaction; interaction ... See more keywords
Predicting Student Grades Based on Their Usage of LMS Moodle Using Petri Nets
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DOI: 10.3390/app9204211
Abstract: This paper deals with the possibility of predicting student’s grades based on their usage of Learning Management System (LMS) Moodle. It is important to know what materials would be best suited in LMS as study… read more here.
Keywords: student; lms moodle; student grades; grades based ... See more keywords
Predicting Student Achievement Based on Temporal Learning Behavior in MOOCs
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DOI: 10.3390/app9245539
Abstract: With the development of data mining technology, educational data mining (EDM) has gained increasing amounts of attention. Research on massive open online courses (MOOCs) is an important area of EDM. Previous studies found that assignment-related… read more here.
Keywords: student achievement; student; temporal learning; moocs ... See more keywords