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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Acknowledgment
The author would like to thank the students of section 51, ITBP315 who were registered in the Fall of 2015 for their volunteering to provide the social data which made this study a success. Special thanks to the College of Information Technology and the United Arab Emirates University for facilitating the study.
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Zaki, N. (2016). PageRank Algorithm to Improve the Peer-Led Team Learning Pedagogical Approach. In: Uskov, V., Howlett, R., Jain, L. (eds) Smart Education and e-Learning 2016. Smart Innovation, Systems and Technologies, vol 59. Springer, Cham. https://doi.org/10.1007/978-3-319-39690-3_20
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DOI: https://doi.org/10.1007/978-3-319-39690-3_20
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