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Jasmin Breitwieser; Andreas B. Neubauer; Florian Schmiedek; Garvin Brod – npj Science of Learning, 2024
Mobile devices are ubiquitous, but their potential for adaptive educational interventions remains largely untapped. We identify three key promises of mobile interventions for educational research and practice: 1) intervening when it is most beneficial (i.e., "just-in-time adaptivity"), 2) estimating causal effects of interventions in…
Descriptors: Students, Handheld Devices, Computer Assisted Instruction, Educational Technology
Ruofei Zhang; Di Zou; Gary Cheng – Language Learning & Technology, 2023
Since 2000, technology-enhanced L2 listening development (TELD) has been increasingly investigated. However, systematic reviews concerning the technologies, learning tasks, and outcomes of TELD remain limited. To fill this gap, we conducted a systematic review of publications from 2000 to 2022 on TELD from the perspectives of technologies,…
Descriptors: Second Language Learning, Second Language Instruction, Listening Comprehension, Listening Skills
Daniel F. O. Onah; Elaine L. L. Pang; Jane E. Sinclair – Journal of Computing in Higher Education, 2024
Despite the proliferation of massive open online courses (MOOCs) and the impressive levels of enrolment they attract, many participants do not complete these courses. High drop-out has been identified as one of the major problems with existing MOOC formats. Our work addresses two factors relating to non-completion. Firstly, MOOCs require a high…
Descriptors: MOOCs, Self Management, Independent Study, Educational Technology
Pittalis, Marios; Drijvers, Paul – Educational Studies in Mathematics, 2023
Digital technologies for mathematics education are continuously developing. Still, much remains unknown about how students use these tools and how this affects learning. For example, tablets nowadays come with multi-touch options that allow for a more embodied approach to geometry education, compared to mouse interactions. However, little is known…
Descriptors: Mathematics Instruction, Educational Technology, Geometric Concepts, Geometry
Xiang Wu; Huanhuan Wang; Yongting Zhang; Baowen Zou; Huaqing Hong – IEEE Transactions on Learning Technologies, 2024
Generative artificial intelligence has become the focus of the intelligent education field, especially in the generation of personalized learning resources. Current learning resource generation methods recommend customized courses based on learning styles and interests, improving learning efficiency. However, these methods cannot generate…
Descriptors: Artificial Intelligence, Individualized Instruction, Intelligent Tutoring Systems, Cognitive Style
Hoda Harati – ProQuest LLC, 2021
Adaptive Learning, as a new online learning environment, intends to individualize the learning experience for each individual learner. Adaptive Learning suffers many shortcomings, as the date of the publication of this dissertation, however, it is considered the next generation of the learning environment for at least the next twenty years;…
Descriptors: Learning Strategies, Academic Achievement, Student Attitudes, Self Management
Jiarui Hou; James F. Lee; Stephen Doherty – Journal of Computer Assisted Learning, 2025
Background: Recent research has demonstrated the potential of mobile-assisted learning to enhance learners' learning outcomes. In contrast, the learning processes in this regard are much less explored using eye tracking technology. Objective: This systematic review study aims to synthesise the relevant work to reflect the current state of eye…
Descriptors: State of the Art Reviews, Eye Movements, Electronic Learning, Handheld Devices
Mengsiying Li; Tai Wang – Education and Information Technologies, 2024
Began with Computer-Assisted Language Learning (CALL) in the 1960s and extended to the widespread use of various Mobile-Assisted Language Learning (MALL) tools in education, language learning has embraced technology early on, achieved noticeable results, and found extensive practical use. However, due to the challenges in accessing user data from…
Descriptors: Learning Strategies, Language Acquisition, Computer Oriented Programs, Educational Technology
Wee Ling Choo; Lee Luan Ng – Journal of Education and Learning (EduLearn), 2024
While vocabulary learning strategies (VLSs) have primarily been taught in physical classroom settings, the potential for applying strategy training in an online environment remains under-explored. With the rising acceptance of remote education, there is a need to investigate the impacts of applying strategy training in online contexts. Hence, this…
Descriptors: MOOCs, Educational Technology, Videoconferencing, Vocabulary Development
Lemin Li – International Journal of Web-Based Learning and Teaching Technologies, 2024
In this study, a simplified strategy for the English assistance model was provided to overcome the limitations of current school English display settings and increase the scope of 5G innovation. This study uses a learning strategy based convolutional neural network (LS-CNN) to determine the execution of college English learning strategies. This…
Descriptors: Second Language Instruction, Second Language Learning, English (Second Language), Learning Strategies
Mahmoud M. S. Abdallah – Online Submission, 2025
The integration of Artificial Intelligence (AI) into education has heralded new paradigms for language learning, with conversational AI chatbots emerging as potent tools for fostering learner autonomy. Therefore, this article explores how conversational AI chatbots support and reinforce Self-Regulated Learning (SRL) in language acquisition. It…
Descriptors: Computer Mediated Communication, Artificial Intelligence, Technology Integration, Second Language Learning
Areej ElSayary, Editor – IGI Global, 2025
By creating specific prompts, educators can harness the power of AI models to generate tailored content, provide instant feedback, and simulate real-world scenarios for deeper learning engagement. Whether it's creating personalized lesson plans, generating creative writing prompts, or assisting with problem-solving exercises, generative AI creates…
Descriptors: Prompting, Engineering, Artificial Intelligence, Technology Uses in Education
Huiwan Zhang; Wei Wei; Yiqian Cao – Computer Assisted Language Learning, 2024
The role of computer-assisted language learning (CALL) in developing vocabulary knowledge has been investigated extensively in the field of English for Academic Purposes with positive outcomes. However, its implications for medical education, and specifically foreign languages for medical purposes, have not received much attention. This study…
Descriptors: Computer Assisted Instruction, Educational Technology, Technology Uses in Education, Medical Education
Pernille Fiskerstrand; Siv M. Gamlem – Assessment in Education: Principles, Policy & Practice, 2024
The quality of feedback interactions, when young pupils write, influences their learning processes. Still, teachers tend to use feedback that provides little information to enhance pupils' understanding and learning regarding their literacy skills. More knowledge about feedback interactions for young pupils as they write is needed. Thus, we wanted…
Descriptors: Feedback (Response), Oral Language, Writing Instruction, Literacy
Jihane Amayou; Olgun Sadik; Kelli Paul – Journal of Learning and Teaching in Digital Age, 2025
Makerspaces are interactive learning environments that provide students with opportunities to improve life and career skills. The importance of these spaces has grown over the years. In Türkiye, the Ministry of National Education has established makerspace-like environments, known as Design and Skills-Labs (Tasarim Beceri Atölyeleri or TBA in…
Descriptors: Foreign Countries, Computer Simulation, Skill Centers, Electronic Learning