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An experience report on the use of Active Learning in Empirical Software Engineering Education: Understanding the pros and cons from the student's perspective

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Autor(es):
Costa Meireles, Maria Alcimar ; Rocha, Sabrina ; Maldonado, Jose Carlos ; Conte, Tayana
Número total de Autores: 4
Tipo de documento: Artigo Científico
Fonte: 2024 ACM/IEEE 44TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING: SOFTWARE ENGINEERING EDUCATION AND TRAINING, ICSE-SEET 2024; v. N/A, p. 11-pg., 2024-01-01.
Resumo

Context: Recent years have witnessed a noteworthy surge in the emphasis on research and practice in Empirical Software Engineering (ESE). However, teaching this discipline through traditional pedagogical methods presents a challenge. Students typically acquire theories and concepts through lectures or expository classes but have limited opportunities to apply this knowledge. Goal: This report aims to share our experiences with the instructional process, using the Active Learning approach within the context of ESE education. Method: We describe an ESE course that was taught using active methodology principles. At the end of the course, we conducted a personal opinion survey to gather students' feedback. Results: The findings indicated that Active Learning principles can offer several advantages in ESE education. These include improved comprehension of course material, better retention of knowledge gained during classes, and enhanced preparation for involvement in scientific research. Conclusion: This experience provides insights into incorporating active learning principles into an ESE course. We also discuss lessons learned and suggest areas for improvement in future ESE courses. (AU)

Processo FAPESP: 20/05191-2 - INDEXAR: INDividualização da EXperiência de uso em ferramentas de apoio à Aprendizagem Remota
Beneficiário:Tayana Uchôa Conte
Modalidade de apoio: Auxílio à Pesquisa - Regular
Processo FAPESP: 19/23160-0 - Teste de software baseado em mutação com alta eficácia e baixa dívida técnica: processo automatizado e protótipo de ambiente de apoio livres
Beneficiário:Auri Marcelo Rizzo Vincenzi
Modalidade de apoio: Auxílio à Pesquisa - Regular