Learning Analytics Event: INTED2023 Session time: Tuesday, 7th of March from 10:30 to 12:00 (UTC+01:00) Session type: ORAL Room: 1 Session chair: Neil Anderson. Queen's University Belfast (UNITED KINGDOM)
AN EXAMPLE TOWARDS THE RESPONSIBLE USE OF AI FOR HIGHER EDUCATION: EXPLAINABLE STUDENT DROPOUT PREDICTIONS
W. Casteels, L. Herrewijn, E. De Bruyne
10:45
AN EARLY PREDICTION OF ACADEMIC SUCCESS USING MULTI-SOURCE DATA MINING AND MACHINE LEARNING ALGORITHMS FOR STUDENTS TAUGHT IN ONLINE AND HYBRID MODES AFTER COVID-19
N. Anderson, A. McGowan, L. Galway, J. Adhikari, D. Cutting
11:00
COURSE-AGNOSTIC EARLY IDENTIFICATION OF STUDENTS AT RISK FROM MOODLE ACTIVITY PATTERNS
R. Santos, R. Henriques
11:15
APPLICATION OF A PREDICTIVE MODEL CREATED WITH DEEP LEARNING TO INCREASE STUDENT RETENTION: A COMPARATIVE STUDY
O. Cuéllar Rojas, M. Hincapié Montoya, M. Contero
11:30
STUDENT RETENTION USING ADVANCED LEARNING VALIDATION SOFTWARE TOOL AND EDUCATIONAL DATA MINING: A CASE STUDY
A. Mutka, F. Zivkovic, M. Breka, M. Zagar
11:45
FEATURE SELECTION OF STUDENT(S) AT RISK OF DROPOUT USING ADMINISTRATIVE DATA AT A UNIVERSITY IN SOUTH AFRICA