Thursday 28th of March 2024
 

The Homogeneity Indicator of Learners in Project-based Learning


Benjelloun Touimi Yassine, Faddouli Nourredine, Bennani Samir and Mohammed Khalidi Idrissi

The development of ICT has emerged a new way of learning using electronic platforms: E-learning. In addition, pedagogical approaches have been adopted in teaching based on group learning, such as the project-based teaching. The project-based teaching is an active learning method, based on group work to develop skills and acquire knowledge. However, the group of students is facing several challenges throughout the project, such as the decision-making group. The group decision generates convergences and divergences among members. Our approach in this article relates to the calculation of the homogeneity of a group of learners during decision making in an educational project.

Keywords: Project-based learning; Analytical hierarchy process; decision-making; likert scale; Shannon entropy; homogeneity.

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ABOUT THE AUTHORS

Benjelloun Touimi Yassine
Engineer degree in Computer Science in 2003; PhD Student in Computer Science; engineer a defence department of morocco ; 6 recent publications between 2010 and 2013 ; Ongoing research interests: E-learning and Assessment; data mining.

Faddouli Nourredine
Doctorate degree in Computer Science in 1999; Assistant Professor at the Computer Science Department at the Mohammadia School of Engineers (EMI); 10 recent publications papers between 2007 and 2013; Ongoing research interests: Web services, elearning, evaluation and information systems.

Bennani Samir
Engineer degree in Computer Science in 1982; Doctorate degree in Computer Science, PhD in Computer Sciencein 2005; Former chief of the Computer Science Department at the Mohammadia School of Engineers (EMI); Professor at the Computer Science Department-EMI; 15 recent publications papers between 2008 and 2013; Ongoing research interests: SI, Modeling in Software Engineering, Information System, E-Learning, content engineering, tutoring, assessment and tracking.

Mohammed Khalidi Idrissi
Doctorate degree in Computer Science in 1999; Assistant Professor at the Computer Science Department at the Mohammadia School of Engineers (EMI); 10 recent publications papers between 2007 and 2013; Ongoing research interests: Web services, elearning, evaluation and information systems.


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