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Geraldine Townend; Jennifer L. Jolly; Adrian Chew – Australian Journal of Teacher Education, 2024
This systematic literature review explored the importance of professional development (PD) for educators working with gifted students. Findings highlighted the need for PD to improve teacher knowledge, skills, efficacy, and student outcomes, especially considering the heterogeneously grouped classrooms, unique student needs, and lack of…
Descriptors: Gifted Education, Faculty Development, Academically Gifted, Program Evaluation
Zhang, Feiran; Markopoulos, Panos; Bekker, Tilde – Journal of Science Education and Technology, 2020
Design-based learning (DBL) is gaining increasing acceptance as a motivating and practical approach that can be used to prepare young people for the challenges of the twenty-first century. Emotions are known to influence a student's academic performance in traditional learning, which raises the question as to what role emotions can play in DBL.…
Descriptors: Design, Problem Based Learning, Psychological Patterns, Children
Algurén, Beatrix – Discourse and Communication for Sustainable Education, 2021
Sustainable development and transformational change have become more critical than ever in the era of climate change. The aim of this literature review was to increase knowledge on education and learning activities (ELAs), along with the learning outcomes they address, in the context of higher education for sustainable development (SD) with…
Descriptors: Sustainable Development, Climate, Learning Activities, Behavior Change
Saqr, Mohammed; Jovanovic, Jelena; Viberg, Olga; Gaševic, Dragan – Studies in Higher Education, 2022
Predictors of student academic success do not always replicate well across different learning designs, subject areas, or educational institutions. This suggests that characteristics of a particular discipline and learning design have to be carefully considered when creating predictive models in order to scale up learning analytics. This study…
Descriptors: Meta Analysis, Learning Analytics, Predictor Variables, Correlation