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Direct linkVarghese Panthalookaran – Higher Education for the Future, 2025
Unlike other technologies that augment human physical skills and abilities, artificial intelligence (AI) technologies interact with human thinking skills nurtured through various educational processes. Hence, advances in these technologies challenge the education sector to reimagine the suitable intellectual formation of students in the AI age. It…
Descriptors: Taxonomy, Artificial Intelligence, Thinking Skills, Educational Objectives
Ali Zeb; Fazal Ur Rehman; Majed Bin Othayman; Muhammad Rabnawaz – International Journal of Information and Learning Technology, 2025
Purpose: Given the increasing attention on ChatGPT in academia due to its advanced features and capabilities, this study aims to examine the links among Artificial intelligence (AI), knowledge sharing, ethics, academia and libraries in educational institutions. Moreover, this study also aims to provide a literature base while discussing recent…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Knowledge Level
Pin-Hui Li; Hsin-Yu Lee; Chia-Ju Lin; Wei-Sheng Wang; Yueh-Min Huang – Journal of Educational Computing Research, 2025
The core purpose of integrating inquiry-based learning strategies into STEM activities is to create a challenging learning environment that stimulates students' active learning, thereby effectively enhancing their interest in learning, thinking skills, and practical application abilities. To achieve these goals, developing more technology-assisted…
Descriptors: Computer Software, Artificial Intelligence, Synchronous Communication, Active Learning
Hao Zhou; Wenge Rong; Jianfei Zhang; Qing Sun; Yuanxin Ouyang; Zhang Xiong – IEEE Transactions on Learning Technologies, 2025
Knowledge tracing (KT) aims to predict students' future performances based on their former exercises and additional information in educational settings. KT has received significant attention since it facilitates personalized experiences in educational situations. Simultaneously, the autoregressive (AR) modeling on the sequence of former exercises…
Descriptors: Learning Experience, Academic Achievement, Data, Artificial Intelligence
Shiyu Xu; Michael J. Reiss; Wilton Lodge – International Journal of Science and Mathematics Education, 2025
This study introduces a Comprehensive Scientific Creativity Assessment (C-SCA) instrument and empirically tests its reliability and validity. While existing instruments to measure scientific creativity generally focus on a single dimension, such as divergent thinking, the C-SCA incorporates scientific knowledge, motivation in scientific creativity…
Descriptors: Secondary School Students, Science Process Skills, Creativity, Creative Thinking
Qinggui Qin; Shuhan Zhang – Education and Information Technologies, 2025
Artificial Intelligence (AI) plays a vital role in the growth and progress of education. Therefore, there is a need to scientifically explore the application of Artificial Intelligence in Education (AIED) and systematically analyze the development trends and research hotspots of AIED to provide reference for researchers. In this study, 1356…
Descriptors: Artificial Intelligence, Knowledge Level, Visual Aids, Concept Mapping
Ting-Ting Wu; Hsin-Yu Lee; Pei-Hua Chen; Chia-Ju Lin; Yueh-Min Huang – Journal of Computer Assisted Learning, 2025
Background: Science, Technology, Engineering, and Mathematics (STEM) education in Asian universities struggles to integrate Knowledge, Skills, and Attitudes (KSA) due to large classes and student reluctance. While ChatGPT offers solutions, its conventional use may hinder independent critical thinking. Objectives: This study introduces PA-GPT,…
Descriptors: Peer Evaluation, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
