Flipped Classroom Applied to Teaching Artificial Intelligence

Anderson Cavalcante Gonçalves; Deller James Ferreira; Valdemar Vicente Graciano Neto

doi:10.31686/ijier.vol10.iss9.3893

Authors

Anderson Cavalcante Gonçalves Federal University of Goiás https://orcid.org/0000-0002-4423-7531
Deller James Ferreira Universidade Federal de Goiás https://orcid.org/0000-0002-4314-494X
Valdemar Vicente Graciano Neto Universidade Federal de Goiás

DOI:

https://doi.org/10.31686/ijier.vol10.iss9.3893

Keywords:

Flipped classroom, Active Teaching Methods, Active learning, Artificial Intelligence

Abstract

The flipped classroom is an active learning method that helps the teacher to promote a significant change in the teaching and learning process, inverting activities and revolutionizing the traditional learning model. However, the application of the flipped classroom is not simple and involves the teacher's dedication to facilitate the student self-regulation of activities to promote learning. The objective proposed in this article was to investigate the feasibility and effectiveness of the application of the flipped classroom in the teaching of Artificial Intelligence. To assess the results, a mixed methodology, qualitative and quantitative, combined with discourse analysis was applied. The results were satisfactory, indicating the potential of the flipped classroom applied to the teaching of Artificial Intelligence.

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Author Biographies

Anderson Cavalcante Gonçalves, Federal University of Goiás

Professor at the State University of Goiás. Doctoral Student in Computer Science at the Federal University of Goiás (UFG), Master in Computer Science at UFG, Specialist in Information Security at UFG, Graduated in Computer Networks at the State University of Goiás.
Deller James Ferreira, Universidade Federal de Goiás

Bachelor in Mathematics from Universidade Federal Fluminense (1987), Master in Systems and Computing from Instituto Militar de Engenharia (1990) and PhD in Education from UnB (2008). Postdoctoral fellow at the University of Exeter (2010). She is an associate professor at the Instituto de Informática, Universidade Federal de Goiás. She works in the areas of collaborative and creative computer-mediated learning, computing teaching and human-computer interaction.
Valdemar Vicente Graciano Neto, Universidade Federal de Goiás

PhD in Computer Science by University of São Paulo and University of South Brittany (France) in a cotutelle program. Valdemar holds a permanent position at Universidade Federal de Goiás (UFG), Goiânia, Brazil, since 2014. His expertise comprises Information Systems, Software Engineering with focus on Software Architecture and Model-Based Engineering. His current research topic is Systems-of-Systems.

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