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Garbin, Fernanda Gobbi de Boer; ten Caten, Carla Schwengber; de Jesus Pacheco, Diego Augusto – Journal of Applied Research in Higher Education, 2022
Purpose: Although active learning methodologies are recognized as an effective means to achieve expected educational demands, in practice, the teaching and learning processes are still widely characterized by traditional pedagogy aspects. As a result, teaching innovations in science, technology, engineering and math (STEM) education are carried…
Descriptors: Evaluation Methods, STEM Education, College Faculty, Models
Juliana Abra Olivato; José Castro Silva – London Review of Education, 2023
This study explored primary school teachers' self-efficacy beliefs about interdisciplinary teaching practices related to science, technology, engineering, arts and mathematics (STEAM) education and project-based learning to understand teacher perceptions and practices and to recommend some teacher training according to the national curricular…
Descriptors: Interdisciplinary Approach, Teaching Methods, STEM Education, Art Education
Reznik, Gabriela; Massarani, Luisa; Calabrese Barton, Angela – Cultural Studies of Science Education, 2023
In this paper, the authors seek to analyze the perceptions, motivations and experiences of young women in science, technology, engineering and mathematics (STEM) education projects aiming to incentivize gender equity, based on the theoretical framework of feminist studies on science and intersectionality, as well as academic literature on equity…
Descriptors: Foreign Countries, Inclusion, Gender Differences, STEM Education
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis