Titlebook: Blended Learning. Intelligent Computing in Education; 17th International C Will W. K. Ma,Chen Li,Angel Lu Conference proceedings 2024 The E

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G. K. Prashant,D. B. Lata,M. Ravi Shankarnt regulatory role in the model. We find that rural teachers’ attitudes toward technology use are more likely to be influenced by perceived institutional support than urban teachers. The implications of this study are also discussed and directions for future research are suggested.

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Trends and Challenges in Digital Education in the Age of Artificial Intelligenceng and consolidating new training modalities. The recent irruption of Generative Artificial Intelligence opens up a new transformative scenario for education in general and higher education in particular. This paper presents today‘s leading trends and challenges in digital education research. Artifi

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Complexities of Using Large Language Model Generative AI in Health Education and RobotsLanguage Model (LLM) Generative AI (LLM-GAI) into educational software systems we have built during the past decade. Our current focus has been to study what we do not know about a variety of Natural Language Processing (NLP) tasks across a range of educational settings within the United States. As

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Construction and Implementation of Generative AI-Based Human-Machine Collaborative Classroom Teachinnt capabilities such as intelligent emergence, strong cognitive and high versatility, has provided important support in empowering university students to expand their learning experience, enhance their learning abilities and improve their learning performance. Exploring the GAI-based human-machine c

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DMP_AI: An AI-Aided K-12 System for Teaching and Learning in Diverse Schools further research and development is needed to realize its potential. Moreover, the creation of a comprehensive and cohesive system that effectively harnesses AI to support teaching and learning across a diverse range of primary and secondary schools presents substantial challenges that need to be a