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CONSTRUCTION OF A RESOURCE FOR RECOMMENDING PEDAGOGICAL STRATEGIES BASED ON SOCIO-AFFECTIVE SCENARIOS

发表日期 July 08, 2024 (DOI: https://doi.org/10.54985/peeref.2407p5840364)

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作者

Jacqueline Mayumi Akazaki1 , Leticia Rocha Machado1 , Patricia Alejandra Behar1
  1. Federal University of Rio Grande do Sul

会议/活动

Jornadas de Jóvenes Investigadores - AUGM- UNA, October 2023 (Asunción, Paraguay)

海报摘要

The study aims to present the process of building a Socio-affective Map to recommend Pedagogical Strategies based on Socio-affective Scenarios of students in a Virtual Learning Environment (VLE). The Socio-affective Map is made up of 57 Socio-affective Scenarios and 342 Pedagogical Strategies. The methodology adopted was agile software development and the method used was SCRUM. The Socio-affective Map was organized in five steps. As a result, the Socio-affective Map was built, allowing teachers to understand who their students are, making it possible to use the Pedagogical Strategies suggested by the system.

关键词

Pedagogical Strategies based on Socio-affective Scenarios, JavaScript programming, SCRUM agile method

研究领域

Education, Computer and Information Science

参考文献

  1. Beck, K. et al. (2001). Manifesto for agile software development. Disponível em: http://agilemanifesto.org/.

基金

  1. This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) (No. Finance Code 001)

补充材料

暂无数据

附加信息

利益冲突
No competing interests were disclosed.
数据可用性声明
Data sharing not applicable to this poster as no datasets were generated or analyzed during the current study.
知识共享许可协议
Copyright © 2024 Akazaki et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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引用
Akazaki, J., Rocha Machado, L., Alejandra Behar, P. CONSTRUCTION OF A RESOURCE FOR RECOMMENDING PEDAGOGICAL STRATEGIES BASED ON SOCIO-AFFECTIVE SCENARIOS [not peer reviewed]. Peeref 2024 (poster).
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