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 have applied different decision tree algorithms like ID3(Iterative Dichotomiser) and C4.5 to predict students academic performances and checked their accuracy to choose the appropriate algorithm that could be effectively applied. Mohammed M. Abu Tair and Alaa M. El-Halees  have given a case study on how to use different data mining techniques like Association Rule Mining, Clustering, Classification and Outlier Detection at various phases to improve the academic performance of graduate
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MODULE 23: CONSTRUCTIVIST APPROACH TO ICT IN EDUCATION Module Structure: 23.0 Learning outcomes 23.1 Introduction 23.2 Concept of Constructivism 23.3 Principles of constructivism 23.4 5 Es of constructivism 23.5 Let us sum up 23.0 LEARNING OUTCOMES After going through this module you will be able to: • Explain the concept of constructivism. • State the principles of constructivism. • Explain 5 Es of constructivism. • Apply constructivism in ICT in education. • Explain the use of ICT while applying constructivism in education.
Previous studies usually focused on three main issues: (1) demand and reason of student part-time employment; (2) status of student part-time employment; (3) effects of part-time employment on students, especially on learning results. There are some journals and thesis relate to this study. The first study of the journal was done by Robotham, d. In 2013 title, students’ perspectives on term-time employment: an exploratory qualitative study. The writer explains about this study seeks to address that weakness in the existing literature through the use of qualitative data to provide a clearer understanding of students’ views and experiences of part-time employment. The next title is “Carney, c., Mcneish, s., & Mccoll, j.