利用学习分析技术预测学习者学业成绩

Learning analytics involves the measurement, collection and analysis of data for the purpose of enhancing learning experience of learners. The use of learning management systems (LMS) is very popular with many local and overseas higher education institutions. In addition to LMS-based data, other student-based data such as class attendance, assignment marks, test and final examination scores of courses offered in an academic programme are typical data that are used to assess the learning experience of students. This paper aims to identify factors that could be used to identify those students who are not performing well in the programme timely. Both LMS-based and student-based data relating to a local part-time diploma programme are collected and analysed to study the effect of them on students’ academic performance using the multiple linear regression technique. It was found that coursework has significant effect on the final examination performance of students.