
International Journal of Science and Mathematics Education, Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 10, 2024
Language: Английский
International Journal of Science and Mathematics Education, Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 10, 2024
Language: Английский
Communications in computer and information science, Journal Year: 2025, Volume and Issue: unknown, P. 258 - 272
Published: Jan. 1, 2025
Language: Английский
Citations
0Online Journal of Communication and Media Technologies, Journal Year: 2025, Volume and Issue: 15(1), P. e202508 - e202508
Published: Feb. 11, 2025
The objective of this meta-analysis study is to investigate learning results under mobile supported collaborative (MSCL). Robust Bayesian was applied eleven studies from Scopus, Web Science, and ERIC databases. reveal that MSCL has a modest but favorable effect generally (d = 0.26, 95% confidence interval [CI] [–0.34, 0.89]). Studies revealed substantial degrees heterogeneity (τ 0.556, CI [0.305, 1.027], implying contextual elements might influence the efficacy MSCL. Moderator analyses showed more successful at high school level had greater consistent especially on student motivation. Moderate publication bias identified. These highlight value as potential improvement tool in education suggest its effectiveness may vary by context. Future research should examine detail specific factors increase or decrease Educators policy makers consider benefits limitations approach when implementing
Language: Английский
Citations
0Journal of Computers in Education, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 14, 2025
Language: Английский
Citations
0Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 411 - 428
Published: March 13, 2025
Traditional educational settings often struggle to effectively support the development of higher-order thinking skills (HOTS). Collaborative argumentation has proven foster these skills, and Generative Artificial Intelligence (GenAI) may further enhance tasks. This case study investigates students' perceptions GenAI-assisted collaborative in a graduate Digital Education course. Thirty-six students engaged ChatGPT-4-supported via Discord, followed by interviews. Through inductive deductive thematic analysis, findings revealed that GenAI significantly aids deconstructing complex problems, evaluating arguments, generating creative solutions while enhancing self-regulation reflection. Challenges like over-reliance on AI, cognitive overload, biases within AI were identified. highlights need for instructional strategies balance use with cultivation critical, creative, self-regulated ensuring stay adept an AI-driven landscape.
Language: Английский
Citations
0International Journal of Educational Research, Journal Year: 2024, Volume and Issue: 128, P. 102481 - 102481
Published: Jan. 1, 2024
Language: Английский
Citations
1Computers & Education, Journal Year: 2024, Volume and Issue: unknown, P. 105212 - 105212
Published: Nov. 1, 2024
Language: Английский
Citations
1International Journal of Science and Mathematics Education, Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 10, 2024
Language: Английский
Citations
0