A dialogic theoretical foundation for integrating generative AI into pedagogical design
Generative AI presents a profound challenge to the existing structures and purposes of education. It forces us to reconsider not only how we teach and learn but also, more fundamentally, what education is for. This conceptual paper argues that, in order to integrate AI into education in a way that can meet the major challenges facing humanity, ranging ...
Rupert Wegerif, Imogen Casebourne
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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
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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
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Intelligent Task Offloading for Heterogeneous V2X Communications [PDF]
Kai Xiong +4 more
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μ-DDRL: A QoS-Aware Distributed Deep Reinforcement Learning Technique for Service Offloading in Fog computing Environments [PDF]
Mohammad Goudarzi +3 more
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Alloparenting the investment child: A reply to responses
The British Journal of Sociology, EarlyView.
Nina Bandelj
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Comparing training window selection methods for prediction in non‐stationary time series
Abstract The widespread adoption of smartphones creates the possibility to passively monitor everyday behaviour via sensors. Sensor data have been linked to moment‐to‐moment psychological symptoms and mood of individuals and thus could alleviate the burden associated with repeated measurement of symptoms.
Fridtjof Petersen +6 more
wiley +1 more source
Correction: Gerlich, M. AI Tools in Society: Impacts on Cognitive Offloading and the Future of Critical Thinking. Societies 2025, 15, 6 [PDF]
Michael Gerlich
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Energy Aware Routing with Computational Offloading for Wireless Sensor Networks
Adam Barker, Martin Swany
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