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Faouzi Kamoun; Walid El Ayeb; Ibtissem Jabri; Sami Sifi; Farkhund Iqbal – Journal of Information Technology Education: Research, 2024
Aim/Purpose: This study explores the Knowledge, Attitude, and Perception (KAP) towards ChatGPT among university students and faculty. It also examines the faculty's readiness to cope with the challenges and leverage the opportunities presented by AI-powered conversational models. Background: Launched on November 30, 2022, ChatGPT took the world by…
Descriptors: Knowledge Level, Student Attitudes, Teacher Attitudes, Artificial Intelligence
Muhammad Aizri Fadillah; Usmeldi Usmeldi; Asrizal Asrizal – Journal of Baltic Science Education, 2024
The role of ChatGPT and higher-order thinking skills (HOTS) as predictors of physics inquiry among uppersecondary students has yet to be widely explored. Therefore, this research aimed to examine upper-secondary students' role in ChatGPT (convenience and quality (CQ), motivation and engagement (ME), and accuracy and trust (AT)) and HOTS as…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Thinking Skills
Chen-Chung Liu; Wan-Jun Chen; Fang-ying Lo; Chia-Hui Chang; Hung-Ming Lin – Journal of Educational Computing Research, 2024
Reading requires appropriate strategies to spark initial interest and sustain engagement. One promising strategy is the pedagogical approach of learning-by-teaching, transforming learners into active participants. Integrating this approach into digitalized and individualized reading contexts has the potential to foster the development of young…
Descriptors: Reading Interests, Active Learning, Intelligent Tutoring Systems, Artificial Intelligence
Rachmatullah, Arif – ProQuest LLC, 2021
This dissertation conducted a science classroom intervention using two instructional approaches, computational modeling and paper-based pictorial modeling, in the context of food webs. A series of research papers were written on the impact of the intervention on students' attitudes and learning, and on teachers via professional development and…
Descriptors: Teaching Methods, Science Instruction, Food, Intervention
Han, Heeyoung; Johnson, Scott D. – Educational Technology & Society, 2012
The purpose of the study was to investigate the relationship between students' emotional intelligence, social bond, and their interactions in an online learning environment. The research setting in this study was a 100% online master's degree program within a university located in the Midwest of the United States. Eighty-four students participated…
Descriptors: Masters Degrees, Graduate Students, Electronic Learning, Distance Education
Han, Hee Young – ProQuest LLC, 2009
The purpose of the study was to investigate the relationship between students' emotional intelligence, social bond, and their interactions in an online learning environment. This study examined emotional aspects of online interaction in both synchronous and asynchronous online learning environments. A conceptual framework was developed based on…
Descriptors: Electronic Learning, Online Courses, Emotional Intelligence, Social Networks