Intelligent Technology for Educational Applications

First International Conference, ITEA 2024, Kuala Lumpur, Malaysia, July 20–22, 2024, Proceedings

AvKean Wah Lee,Lung Hsiang Wong

Häftad, Engelska, 2025

Del i serien Communications in Computer and Information Science

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Beskrivning

mso-fareast-language: EN-IN;">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.

Produktinformation

Utgivningsdatum:2025-04-18
Mått:155 x 235 x 10 mm
Vikt:271 g
Format:Häftad
Språk:Engelska
Serie:Communications in Computer and Information Science
Antal sidor:160
Förlag:Springer Nature Switzerland AG
ISBN:9789819640898

Utforska kategorier

Innehållsförteckning

.- 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.