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Showing 1 to 15 of 34 results Save | Export
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Ruiqi Deng; Yi Yang; Suqin Shen – Education and Information Technologies, 2025
Empirical evidence has consistently shown that interactive questions are an effective strategy for strengthening student learning through instructional videos. However, research has not directly addressed the crucial question of whether the beneficial effects of interactive questions in instructional videos are attributable to the presence of…
Descriptors: Educational Technology, Technology Uses in Education, Video Technology, Questioning Techniques
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Yu Ji; Zehui Zhan; Tingting Li; Xuanxuan Zou; Siyuan Lyu – IEEE Transactions on Learning Technologies, 2025
The advent of generative artificial intelligence (GAI), exemplified by ChatGPT, has introduced both new opportunities and challenges in science, technology, engineering, and mathematics (STEM) and entrepreneurship education. This exploratory quasi-experimental study examined the effects of ChatGPT-assisted collaborative learning (CCL) on students'…
Descriptors: Man Machine Systems, Technology Uses in Education, Artificial Intelligence, Learning Processes
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Xiao-Fan Lin; Seng Yue Wong; Wei Zhou; Weipeng Shen; Wenyi Li; Chin-Chung Tsai – International Journal of Science and Mathematics Education, 2024
Research evidence indicated that a specific type of augmented reality-assisted (AR-assisted) science learning design or support might not suit or be effective for all students because students' cognitive load might differ according to their experiences and individual characteristics. Thus, this study aimed to identify undergraduate students'…
Descriptors: Computer Simulation, Cognitive Processes, Difficulty Level, Foreign Countries
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Rui Sun; Xuefei Deng – Journal of Information Systems Education, 2025
This paper examines university students' perceptions of and experiences with using ChatGPT, a generative artificial intelligence (GenAI) tool, to enhance their experiential learning. In this exploratory study, we designed a ChatGPT learning activity flow corresponding to the four experiential learning steps. Analysis of survey data collected from…
Descriptors: Artificial Intelligence, Cues, Teaching Methods, Technology Uses in Education
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Maija Zakrizevska-Belogrudova; Airisa Steinberga; Anete Hofmane; Argron Rusmani – Discourse and Communication for Sustainable Education, 2024
This study examines the relationship between the habits of young adults in the use of information technologies and the cognitive processes involved in learning. It was found that information technologies have become an irreplaceable part of modern education, offering vast opportunities to access information and resources, thus promoting the…
Descriptors: Information Technology, Young Adults, Cognitive Processes, Habit Formation
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Giulia Cosentino; Jacqueline Anton; Kshitij Sharma; Mirko Gelsomini; Michail Giannakos; Dor Abrahamson – British Journal of Educational Technology, 2025
As AI increasingly enters classrooms, educational designers have begun investigating students' learning processes vis-à-vis simultaneous feedback from active sources--AI and the teacher. Nevertheless, there is a need to delve into a more comprehensive understanding of the orchestration of interactions between teachers and AI systems in educational…
Descriptors: Artificial Intelligence, Learning Processes, Instructional Design, Design
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Suwannawong, Naphatsanan; Nilsook, Prachyanun; Wannapiroon, Panita – Education Quarterly Reviews, 2022
The objective of this research was as follows: 1) to synthesise the Personalized Cognitive Counseling Process to Promote Digital Health. 2) to develop the Personalized Cognitive Counseling Process to Promote Digital Health. 3) to evaluate the Personalized Cognitive Counseling Process to Promote Digital Health. The documentary research method was…
Descriptors: Counselor Client Relationship, Counseling Techniques, Brain, Cognitive Processes
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Nur Effatul Fairuz Zainal Apandi; Nur Azlina Mohamed Mokmin; Regania Pasca Rassy – International Society for Technology, Education, and Science, 2023
As a result of the worldwide dissemination of COVID-19, educational institutions across the globe, particularly those that serve students in the field of science, have been mandated to close their doors. Consequently, educators and students have increasingly relied on educational technology to obtain a diverse array of resources. This research…
Descriptors: Usability, Computer Simulation, Laboratories, Medicine
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Jiaqi Yin; Tiong-Thye Goh; Yi Hu – IEEE Transactions on Learning Technologies, 2024
This study aimed to examine sustainable effects of chatbot-based formative feedback on intrinsic motivation, cognitive load, and learning performance. A longitudinal quasi-experimental design with 173 undergraduate students was conducted. The experiment is a between-subject design. Students either received formative feedback from a chatbot or a…
Descriptors: Artificial Intelligence, Synchronous Communication, Feedback (Response), Longitudinal Studies
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David Juárez-Varón; Manuel Ángel Juárez-Varón; Ana Mengual-Recuerda; Beatriz Andres – International Journal of Game-Based Learning, 2024
This research delves into the comparative analysis of brain activity using gamification in the classroom versus traditional teaching. This study aims to employ neurotechnology to record and analyse the impact of active gamification methodology on relevant variables in the learning process within a traditional university education setting,…
Descriptors: College Students, Human Resources, Personnel Management, Courses
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Claudia De Barros Camargo; Antonio Hernández Fernández – Educational Process: International Journal, 2024
Background/Purpose: This study investigates the integration of neuropedagogy, neuroimaging, artificial intelligence (AI), and deep learning in educational systems. The research aims to elucidate how these technologies can be synergistically applied to optimize learning processes based on individual neurocognitive profiles, thereby enhancing…
Descriptors: Artificial Intelligence, Educational Practices, Intelligent Tutoring Systems, Neurosciences
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Vongkulluksn, Vanessa W.; Lu, Lin; Nelson, Michael J.; Xie, Kui – Educational Technology Research and Development, 2022
Quantitative studies on technology integration often examined general quantity of classroom technology use or teacher-reported accounts of integration practices. There is a current need for a measurement tool that links students' technology use and cognitive engagement, which will allow researchers to better illustrate how technology is woven into…
Descriptors: Technology Integration, Educational Technology, Learner Engagement, Psychometrics
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Yun Dai; Ziyan Lin; Ang Liu; Wenlan Wang – British Journal of Educational Technology, 2024
While AI has become more prevalent in our society than ever, many young learners are found holding various naive, erroneous conceptions of AI due to the influence of their technology and media environments. To address this issue, this study seeks to propose a novel pedagogical solution to improve upper-elementary school students' scientific…
Descriptors: Artificial Intelligence, Technology Uses in Education, Elementary Education, Elementary School Students
Robert Dawson Coffey – ProQuest LLC, 2021
Technology is transforming higher education by removing geographic constraints for both students and instructors and increasing learning and cooperation with internet-based applications. Bloom's taxonomy continues to play a significant role in instructional design for both the classroom and online, but other theories that address the challenges of…
Descriptors: Online Courses, Communities of Practice, Inquiry, Instructional Effectiveness
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Yeh, Ying-Jung Yvonne; Chen, Min-Hung – Technology, Knowledge and Learning, 2022
This study first examined the factors that enhance learning effectiveness and student satisfaction when an interactive response system (IRS) is introduced to a financial planning course. Second, we examined the influence of the initial experience of using an IRS on subsequent learning results. A total of 217 financial practitioners participated in…
Descriptors: Instructional Effectiveness, Student Satisfaction, Money Management, Course Content
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