
Computers & Education, Journal Year: 2024, Volume and Issue: 226, P. 105198 - 105198
Published: Nov. 14, 2024
Language: Английский
Computers & Education, Journal Year: 2024, Volume and Issue: 226, P. 105198 - 105198
Published: Nov. 14, 2024
Language: Английский
Journal of Academic Ethics, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 14, 2025
Language: Английский
Citations
2Mind Brain and Education, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 5, 2025
ABSTRACT Generative artificial intelligence (AI) has become a major research trend in the fields of education and psychology. However, several risks posed by this technology concerning cognitive socio‐emotional development children adolescents have been identified. While it would be highly useful to clear understanding these potential negative effects, empirical results cannot obtained without putting participants studies situation that potentially endangers their development. Research such as biomedical sciences utilize measures minimize risks, dose escalation stopping rules. In addition, dynamic flexible forms informed consent could adopted our field maximize transparency. By including methodological advancements ethical developments psychological educational process, averted, soundness AI involving maintained.
Language: Английский
Citations
0Current Psychology, Journal Year: 2025, Volume and Issue: unknown
Published: March 31, 2025
Language: Английский
Citations
0International Journal of Information Management Data Insights, Journal Year: 2025, Volume and Issue: 5(1), P. 100339 - 100339
Published: April 21, 2025
Language: Английский
Citations
0Published: April 23, 2025
Language: Английский
Citations
0Smart Learning Environments, Journal Year: 2024, Volume and Issue: 11(1)
Published: Nov. 11, 2024
Abstract The rapid development of generative artificial intelligence (GenAI) technologies has sparked widespread discussions about their potential applications in higher education. However, little is known how students from various disciplines engage with GenAI tools. This study explores undergraduate students' knowledge, usage intentions, and task-specific engagement across academic disciplines. Using a disciplinary categorization framework, we examine the hard/soft pure/applied dimensions relate to interactions GenAI. We surveyed 193 undergraduates diverse at university Singapore. questionnaire assessed for cognitive routine tasks against background. results indicate substantial disparities level Compared pure fields, applied fields (both hard soft) consistently exhibit levels knowledge utilization intentions. Furthermore, relatively consistent disciplines; however, there are tasks, exhibiting engagement. These suggest that practical orientation drives adoption settings. emphasizes considering differences better integrate into education calls tailored approaches align each field's unique epistemological methodological traditions balance GenAI's benefits preservation core skills.
Language: Английский
Citations
3Computers & Education, Journal Year: 2024, Volume and Issue: 226, P. 105198 - 105198
Published: Nov. 14, 2024
Language: Английский
Citations
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