Results 111 to 120 of about 2,237 (214)
Motivational ecologies in AI‐supported classrooms: Teachers and ChatGPT as dual agents
Abstract Background Generative artificial intelligence (GenAI) tools such as ChatGPT are increasingly integrated into classroom practice, yet their motivational–emotional implications remain insufficiently understood. Situated expectancy–value theory (SEVT) conceptualizes motivation and emotion as embedded in contextual affordances, raising the ...
Sabine Schweder
wiley +1 more source
Generative artificial intelligence (GenAI) offers strong potential to transform teaching practices; however, empirical research on its classroom effectiveness remains limited.
Yuchen Jiang +5 more
doaj +1 more source
This study adopts the combined TAM-TPB model to investigate attitudes and expectations of machines at a pre-career stage. We study how future doctors (medical students) expect to interact with future AI machinery, what AI usage norms will develop, and ...
Andrew Prahl, Kevin Tong Weng Jin
doaj +1 more source
Abstract Background The integration of generative artificial intelligence (GenAI) into higher education has transformed academic practices and redefined the boundaries of academic integrity. Despite institutional mandates for disclosure, students frequently conceal their GenAI use, reflecting ethical uncertainty and relational risk.
Yao Qu, Jue Wang
wiley +1 more source
Political Actors in the Age of Generative Artificial Intelligence: The Czech Perspective
Background: The phenomenon of artificial intelligence (AI) has been studied for decades. However, only the ascent of tools such as ChatGPT brought AI into a broader public consciousness, as people started using it for a broad spectrum of tasks and ...
Daniel Šárovec
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Generative artificial intelligence in higher education: Emotional tensions and ethical declaration
Abstract The increasing use of Generative Artificial Intelligence (GenAI) tools such as ChatGPT in higher education has raised questions about authorship, ethical responsibility, and academic transparency. While institutional guidelines exist, many remain vague and ineffective, leaving students to interpret disclosure obligations on their own.
Yao Qu, Hui En Loo, Jue Wang
wiley +1 more source
Background The use of generative artificial intelligence (GenAI) is rapidly expanding across medical and allied health education. However, structured and curriculum-integrated training to prepare future healthcare professionals remains limited.
Obinna O. Oleribe +8 more
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Abstract Teacher education students play double role as present learners and future educators. Hence, they need targeted training to navigate the growing influence of Generative Artificial Intelligence (GenAI) on teaching, learning and professional identity.
Tam Hong Le +5 more
wiley +1 more source
Abstract Generative AI is increasingly positioned as a peer in collaborative learning, yet its effects on ethical deliberation remain unclear. We report a between‐subjects experiment with university students (N = 217) who discussed an autonomous‐vehicle dilemma in triads under three conditions: human‐only control, supportive AI teammate or contrarian ...
Yueqiao Jin +7 more
wiley +1 more source

