Assessment and Evaluation of Different Machine Learning Algorithms for Predicting Student Performance

Table 2

Attributes used in the prediction of student’s performance.

Attribute category	Attributes	Frequency	Study reference
Demographic	Gender; age; nationality; place of birth; marital status; guardian; address; transport	21	[3, 17, 19, 20, 22–38]
Academic	CGPA; stage ID; grade ID; section ID; topic; semester; program; attendance; final grade	20	[15, 17, 19, 20, 22–27, 30–32, 34, 37, 39–41, 41, 42], References [36–38, 43–45].
Internal assessment	Coursework; assignments; quizzes; lab test; midterms; examinations; daily study time; plagiarism counts; virtual learning access; group presentation; personal report	15	[3, 15, 18, 19, 21, 36, 37, 39, 40, 42, 43, 46–49]
Family/personal	Parent status; parent survey; parent satisfaction; family size; parent education; parent job; income; travel time; Study time; free time; health	12	[3, 20, 22, 23, 26, 28, 33–37, 39, 50]
Behavioral	Raised hands; visited resources; announcement view; discussion	5	[3, 20, 22, 26, 34, 51]
Communication	Messages; emails; response time; login/Logout time; time spent; number of words; voting system	4	[18, 25, 43, 46]
Psychological	Personality; motivation; contextual influences; learning strategies; socio economic status; approach to learning	2	[40, 52]