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Showing 1 to 15 of 51 results Save | Export
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P. Spangenberger; N. Matthes; F. Kapp; L. Kruse; J. L. Plass – Educational Technology Research and Development, 2025
An increasing number of studies has observed that immersive virtual reality (iVR) technology using head-mounted displays (HMDs) can facilitate learning outcomes. However, most studies have been exploratory and were executed in laboratory settings instead of being implemented and orchestrated in authentic teaching settings. Furthermore, iVR design…
Descriptors: Computer Software, Technology Uses in Education, Authentic Learning, Learning Processes
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Taub, Michelle; Azevedo, Roger – New Directions for Teaching and Learning, 2023
The goal of this chapter is to propose a cyclical process of how teachers can use multimodal multichannel data of cognitive, affective, metacognitive, motivational, and social processes to assist with the understanding of their own and their students' self-regulated learning (SRL), and their subsequent instructional decision making. What…
Descriptors: Independent Study, Learning Processes, Instructional Design, Decision Making
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Guo, Lin – Journal of Computer Assisted Learning, 2022
Background: It has been assumed that prompting students to plan, monitor and evaluate their learning process could stimulate strategy use and thereby improve learning outcomes. Objectives: This study aimed to examine the effects of metacognitive prompts on students' self-regulated learning (SRL) and learning outcomes in the context of…
Descriptors: Metacognition, Independent Study, Learning Processes, Outcomes of Education
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Jiyou Jia; Tianrui Wang; Yuyue Zhang; Guangdi Wang – Asia Pacific Journal of Education, 2024
In designing an intelligent tutoring system, a core area of the application of AI in education, tips from the system or virtual tutors are crucial in helping students solve difficult questions in disciplines like mathematics. Traditionally, the manual design of general tips by teachers is time-consuming and error-prone. Generative AI, like…
Descriptors: Problem Solving, Artificial Intelligence, Learning Processes, Prompting
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Sanaa Yacoub Banat; Fatima Abd-Alkareem Wahba – International Journal of Web-Based Learning and Teaching Technologies, 2023
This study highlights the most pertinent m-learning content quality features that should be considered by designers from the point of view of experts to determine students' perceptions about suggested quality features and to measure any statistically significant differences in students' perceptions due to their gender and technological skills. An…
Descriptors: Electronic Learning, Foreign Countries, Instructional Design, Student Attitudes
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Siu-Cheung Kong; Yin Yang – IEEE Transactions on Learning Technologies, 2024
The advent of generative artificial intelligence (AI) has ignited an increase in discussions about generative AI tools in education. In this study, a human-centered learning and teaching framework that uses generative AI tools for self-regulated learning development through domain knowledge learning was proposed to catalyze changes in educational…
Descriptors: Artificial Intelligence, Technology Uses in Education, Independent Study, Elementary Secondary Education
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Hasan Zuhtu Okulu; Nilay Muslu – Interactive Learning Environments, 2024
ChatGPT holds significant potential for enhancing learning through integration into education as an advanced chatbot. With the goal of harnessing this potential, our research focused on exploring the utilization of ChatGPT in designing a course plan for pre-service science teachers. We adopted a qualitative research approach and employed ChatGPT…
Descriptors: Preservice Teachers, Science Teachers, Science Instruction, Instructional Design
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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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Liu Liu – Education and Information Technologies, 2025
The study examines the impact of artificial intelligence (AI)-enhanced gamification on learning outcomes and motivation in English as a Foreign Language (EFL) contexts. A mixed-methods approach and quasi-experimental design were employed to compare the effectiveness of three instructional strategies: adaptive learning paths, conversational agents,…
Descriptors: Technology Uses in Education, Artificial Intelligence, Gamification, Second Language Learning
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Sun, Yanyan; Yan, Zhenping; Wu, Bian – Journal of Computer Assisted Learning, 2022
Background: Guidance has showed positive effects on promoting inquiry-based learning in science education. While an increasing number of studies focus on the design of guidance in simulation-based inquiry learning due to recent technology developments, how different designs of a same type of guidance affect learning remains a question. Objectives:…
Descriptors: Guidance, Inquiry, Active Learning, Simulation
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Hidiroglu, Çaglar Naci – Journal of Pedagogical Research, 2022
This study adopts a holistic single-case design to explain the task design processes of mathematics student teachers (MSTs) regarding History, Theory, Technology, and Modeling (HTTM). A criterion sampling method was used to select nine MSTs who had successfully completed "algorithms and programming" course. Video analyses, written answer…
Descriptors: Mathematics Teachers, Student Teachers, Instructional Design, Mathematics Instruction
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Villatoro Moral, Sofía; de Benito, Barbara – Journal of New Approaches in Educational Research, 2021
Present-day society calls for new student-centred didactic methodologies that make the student an active participant in their learning process. Strategies aimed at training citizens and professionals must adapt and respond to a society that is constantly changing. In this context, self-regulated learning and educational co-design emerge as key…
Descriptors: Technology Uses in Education, Student Centered Learning, Self Management, Learning Processes
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Schroeder, Noah L.; Chiou, Erin K.; Siegle, Robert F.; Craig, Scotty D. – Journal of Educational Computing Research, 2023
Virtual humans are on-screen characters that are often embedded in learning technologies to deliver educational content. Little research has investigated how virtual humans can be used to correct common misconceptions. In this study, we explored how different types of narrative structures, refutation text and expository text, influence perceptions…
Descriptors: Robotics, Computer Simulation, Educational Technology, Error Correction
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Abdu Al-Kadi; Jamal Kaid Mohammed Ali – Language Teaching Research Quarterly, 2024
Artificial Intelligence (AI) has penetrated English language learning and teaching, and this penetration parallels a surge of research on its potential and challenges for learners and teachers altogether. This paper provides a glimpse of the status quo of generative (Gen) AI in contexts where English is not used natively. Adopting a holistic…
Descriptors: Artificial Intelligence, Computer Software, Independent Study, Teaching Methods
Belenky, Dan – Pearson, 2023
Investment in educational technology is rising at breakneck speed. Last year, global investments in the sector jumped over 70%. Across the world, in school classrooms and university lecture halls, many have reported on the benefits it can bring to enhance, simplify, support and scale teaching and learning. But just making technology available is…
Descriptors: Educational Technology, Technology Uses in Education, Outcomes of Education, Educational Benefits
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