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Social Networking Interactions Analysis in a Learning Context: A Simulator Proposal

Published: 17 December 2021 Publication History

Abstract

The introduction of social networks and socials interactions in e-learning environments is often studied as a solution to reduce dropout rates. However, due to the lack of data, it is still challenging in some contexts to measure efficiently their impact on learning strategies, as well as study social dynamics. In this paper, we show how interactions through social networks enhance learning processes. The contribution of inter students knowledge exchange is studied using a multi-agent system (MAS) based on the AGRE metamodel and developed using a netlogo environment.

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  • (2024)Challenges and Practices of Knowledge Sharing in E-learning: A Systematic Literature ReviewInformation Systems Education Journal10.62273/KBZV415922:4(4-14)Online publication date: 2024

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ICSLT '21: Proceedings of the 7th International Conference on e-Society, e-Learning and e-Technologies
June 2021
123 pages
ISBN:9781450376846
DOI:10.1145/3477282
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 December 2021

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Author Tags

  1. Graph generator
  2. Netlogo
  3. Social interactions simulator

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  • (2024)Challenges and Practices of Knowledge Sharing in E-learning: A Systematic Literature ReviewInformation Systems Education Journal10.62273/KBZV415922:4(4-14)Online publication date: 2024

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