Intelligent Technology for Educational Applications First International Conference, ITEA 2024, Kuala Lumpur, Malaysia, July 20–22, 2024, Proceedings /
This book constitutes the refereed proceedings of the First International Conference on Intelligent Technology for Educational Applications, ITEA 2024, held in Kuala Lumpur, Malaysia, during July 20–22, 2024. The 10 full papers and 4 short papers included in this book were carefully reviewed and sel...
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| Andre forfattere: | , |
| Format: | Electronisk eBog |
| Sprog: | engelsk |
| Udgivet: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2025.
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| Udgivelse: | 1st ed. 2025. |
| Serier: | Communications in Computer and Information Science,
2384 |
| Fag: | |
| Online adgang: | https://doi.org/10.1007/978-981-96-4090-4 |
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Indholdsfortegnelse:
- -- Modeling and Analysis of the Practical Teaching System Combined with Curriculum, Competition and Innovation in Higher Education.
- Artificial Intelligence in K-12 Art Education: A Systematic Review of Applications and Evaluations.
- Comparing STEM Teachers’ and Chinese language Teachers’ Perceived Cognitive Load while Learning Online with AI Chatbot, Pre-recorded Videos, and Live Lectures.
- Ecopoly: Game-Based Economics Learning Media.
- AI Integrated Pedagogical Techniques for Higher Education.
- Exploring Student Teachers’ Acceptance Intention of ChatGPT-Assisted Language Teaching: An Integration of the AOI Theory and the TAM Model.
- Social Media as a Learning Media in the Basics of Analytical Chemistry Course: Analysis of Student Needs.
- Electronic Portfolios in the Last Two Decades: A Retrospective Analysis.
- Computational Innovation Techniques Towards Practicing Pedagogues for Modern Higher Education Powered by AI Integration.
- How Virtual Reality Can Be Used for Language Learning: A Content Analysis.
- Perceptual IoT Networks Assisting in Daily Teaching Management and Decision Making.
- AI Content Creation: Exploring the Potential of Mobile Learning.
- Challenges of Digital Literacy Development: Perspectives from Student Teachers.
- Design of English Teaching Evaluation System Based on Deep Learning Models.