Revathy, M. and Kamalakkannan, S. (2022) Jigsaw Technique in Social Media for Collaborative Learning to Enhance Intellectual Skills of Dropout Students. In: 2022 International Conference on Edge Computing and Applications (ICECAA), Tamilnadu, India.
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Students dropping out is influenced by both individual and institutional factors. The people also suffer costs since a scarcity of competent workers may jeopardize the nation’s economic capability, and dropout students are more likely to be frequent beneficiaries of welfare and unemployment benefits. Due to these negative implications, educators, academics, and politicians have long regarded student’s dropout to be a severe educational problem. A dropout early warning method can assist schools in proactively identifying and responding to students who are at the danger of dropping out. Such students are more likely to do so without properly evaluating the negative ramifications of their actions or without having the opportunity to speak with specialists. Collaboration is a method of engagement and a personal attitude in which people take responsibility for their own actions, learning, and talents, including the contributions of their peers. This project aims to prevent student’s dropout by using mobile devices and social media to transmit resources in addition to connect with academics in college over the boundary wall, which has been a previously unexplored field of research. The objective of these strategies is to develop interest of students through cooperation and collaboration. Along with the Collaborative Learning (CL) strategies, jigsaw learning pattern has been found to be highly effective. In this study, 15 lecturers, 20 staffs and 593 students in different disciplines at an education faculty of a university in Tamil Nadu have involved in this research. Interactivity with professors, classmates, and online information sharing behavior have also been shown to have a major influence on students' event engagement activity, and that has created a major influence on academic success of students. Based on this research, it is worth noting that using online social media for CL has helped students gain confidence and improve cognitive skills, which has helped them avoid dropping school.
Item Type: | Conference or Workshop Item (Paper) |
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Subjects: | Computer Applications > Multimedia Systems |
Divisions: | Computer Science |
Depositing User: | Mr IR Admin |
Date Deposited: | 19 Sep 2024 07:27 |
Last Modified: | 19 Sep 2024 07:27 |
URI: | https://ir.vistas.ac.in/id/eprint/6484 |