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Smart University Taxonomy: Features, Components, Systems Read chapter Read first chapter

2016 | OriginalPaper | Chapter

PageRank Algorithm to Improve the Peer-Led Team Learning Pedagogical Approach

Author : Nazar Zaki

Published in: Smart Education and e-Learning 2016

Publisher: Springer International Publishing

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Abstract

Peer-Led Team Learning model has been introduced into several undergraduate courses and it showed improvement in students’ learning performance. Despite its success, little attention has been given to further enhance the model for academic benefits particularly in terms of suitable peer leaders selection, homogenous groups forming and the process of disseminating the educational knowledge. In this paper, we utilized PageRank Algorithm to improve the PLTL pedagogical approach. Unlike the traditional way, we introduced social interaction analysis as a way to create natural groups of students, and select the best peer leaders in classrooms who can disseminate the educational knowledge in an efficient and smooth fashion. The new proposed approach was tested on a dataset of 16 students in an Operating System course offered at the College of Information Technology (CIT), United Arab Emirates University. The improvement in students’ performance achieved is encouraging evidence in favor of the proposed method.

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previous chapter On-Line Formative Assessment: Teaching Python in French CPGE
next chapter Developing Computational Thinking Abilities Instead of Digital Literacy in Primary and Secondary School Students
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Metadata
Title
PageRank Algorithm to Improve the Peer-Led Team Learning Pedagogical Approach
Author
Nazar Zaki
Copyright Year
2016
Book
Smart Education and e-Learning 2016

Print ISBN: 978-3-319-39689-7

Electronic ISBN: 978-3-319-39690-3

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-39690-3_20

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