Developing Predictors for Student Involvement in Generic Competency Development Activities in Smart Learning Environment

Smart Learning Environment (SLE) aims at promoting personalized education in various form with different settings fitting the learners' needs. Many works have done to realise the environment for academic studies. However, the development of the generic competencies is another key element of edu...

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Bibliographic Details
Published in2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC) pp. 196 - 200
Main Authors So, Joseph C. H., Tung, Ho Wai, Chan, Ada, Wong, Simon, Wong, Adam, Chan, Henry
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2020
Subjects
Adaptive systems
co-curricular-activities
Continuing education
Correlation
extra-curricular-activities
Generic-competency
Logical-Regression
Logistics
Smart-Learning-Environment
student-affairs
sub-degree-education
Training
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Summary:Smart Learning Environment (SLE) aims at promoting personalized education in various form with different settings fitting the learners' needs. Many works have done to realise the environment for academic studies. However, the development of the generic competencies is another key element of education. The engagement of students in the developmental activities of generic competencies (GDA) is a main concern of the organizers in tertiary education institutions, particularly the student affair offices. They want to have some predictors to reflect the participation of students with some identifiable factors so that the provision can planned correspondingly. In this work, we attempted to the evaluation on a set of attributes of students to their participation on the GDA by means of the correlation and the classification through logical regression. We studied the records of 1649 graduates in a tertiary education institution across two academic years and found that some single factors are reliable in predicting the tendency of students in taking part in the GDA.
DOI:10.1109/COMPSAC48688.2020.00287