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Hongchao Peng; Jing Chen; Yafei Shi – Education and Information Technologies, 2025
Achieving deep learning in smart classrooms is an important issue in smart education. Research suggests that deep learning requires special scaffolding to support students' learning flexibility according to their own needs. In this regard, this study proposes a smart-classroom-oriented learning scaffolding that can reflect flexibility in learning…
Descriptors: Scaffolding (Teaching Technique), Electronic Learning, Educational Technology, High School Students
Hugo Rozo; María Soledad Ramírez-Montoya – Australasian Journal of Educational Technology, 2025
"Remote education" is an alternative delivery modality for digital environments, responding to several societal requirements and the needs of today's education. Although the term has been used since the early 2000s, the COVID-19 pandemic forced it to emerge as a temporary alternative to continue the educational processes during…
Descriptors: Teaching Methods, Learning Strategies, Distance Education, Higher Education
Lingyun Huang; Juan Zheng; Susanne P. Lajoie; Yuxin Chen; Cindy E. Hmelo-Silver; Minhong Wang – Education and Information Technologies, 2024
Learning analytics dashboards (LADs) are often used to display real-time data indicating student learning trajectories and outcomes. Successful use of LADs requires teachers to orient their dashboard reviews with clear goals, apply appropriate strategies to interpret visualized information on LADs and monitor and evaluate their interpretations to…
Descriptors: Learning Analytics, Educational Technology, Self Management, Learning Strategies
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
Michael Tscholl; Ying Xie; Thomas J. Smith; Wei-Chen Hung – Education and Information Technologies, 2025
In elementary school classrooms, Computational Thinking (CT) teaching often is embedded in problem- or project-based pedagogies and involves programming using Educational Robotics. Little is known, however, about how children solve problems in these contexts, and how task designs influence which CT and problem-solving processes they apply. In this…
Descriptors: Elementary School Students, Task Analysis, Design, Problem Solving
Melis Dülger; Anouschka van Leeuwen; Jeroen Janssen; Liesbeth Kester – Education and Information Technologies, 2025
Self-regulated learning (SRL) is crucial for fostering lifelong learning skills in students, encompassing planning, monitoring, and controlling abilities. Previous research indicates that many students struggle to regulate their learning effectively. In the Netherlands, adaptive learning technologies are widely used to support math education in…
Descriptors: Educational Technology, Technology Uses in Education, Elementary School Teachers, Direct Instruction
Joyce Hwee Ling Koh; Ben Kei Daniel; Rui Ma; Anjin Hu; Patrick Mazzocco – Asia-Pacific Education Researcher, 2025
Competent online learners have dexterity as they can manoeuvre a wide range of learning technologies and online learning strategies to learn successfully. In this study, we approach university students' online learning competence as 'online learning dexterity' or an ability to manage different aspects of online learning with appropriate…
Descriptors: Electronic Learning, Distance Education, College Students, Learning Strategies
Zixi Li; Curtis J. Bonk; Chen Zhou – Interactive Technology and Smart Education, 2024
Purpose: This study aims to investigate a unique approach to learning languages through self-directed online learning. Specifically, it explores the self-management abilities and skills learners need while learning a language outside traditional classroom settings when using mobile-assisted learning technology. Design/methodology/approach: A…
Descriptors: Self Management, Independent Study, Second Language Learning, Electronic Learning
Tornike Giorgashvili; Ioana Jivet; Cordula Artelt; Daniel Biedermann; Daniel Bengs; Frank Goldhammer; Carolin Hahnel; Julia Mendzheritskaya; Julia Mordel; Monica Onofrei; Marc Winter; Ilka Wolter; Holger Horz; Hendrik Drachsler – Journal of Computer Assisted Learning, 2025
Background: Learning analytics dashboards (LAD) have been developed as feedback tools to help students self-regulate their learning (SRL) by using the large amounts of data generated by online learning platforms. Despite extensive research on LAD design, there remains a gap in understanding how learners make sense of information visualised on LADs…
Descriptors: Field Studies, Student Reaction, Feedback (Response), Learning Analytics
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
Soad Raja Al-Shuqairat; Hadi Mohammed Tawalbeh – Educational Process: International Journal, 2025
Background/purpose: This study aimed to investigate the impact of employing digital learning stations in teaching social studies on the development of visual thinking and self-learning skills among seventh-grade students. Materials/methods: A quasi-experimental design was used, involving a sample of 57 seventh-grade female students from Um Kulthum…
Descriptors: Foreign Countries, Grade 7, Females, Secondary School Students
Yu Gao; Linjing Wu; Xiaotong Lv; Xinqian Ma; Qingtang Liu – Journal of Computer Assisted Learning, 2024
Background: Both socially regulated learning and cognitive quality are important factors affecting collaborative knowledge building, but the current research lacks a joint quantified evaluation method that combines these two aspects. Objectives: Based on the existing framework, we proposed a joint evaluation method for regulated learning and…
Descriptors: Self Management, Cooperative Learning, Learning Strategies, Evaluation Methods
Dominic Lohr; Hieke Keuning; Natalie Kiesler – Journal of Computer Assisted Learning, 2025
Background: Feedback as one of the most influential factors for learning has been subject to a great body of research. It plays a key role in the development of educational technology systems and is traditionally rooted in deterministic feedback defined by experts and their experience. However, with the rise of generative AI and especially large…
Descriptors: College Students, Programming, Artificial Intelligence, Feedback (Response)
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
Chu, Jinjin; Szlagor, Maciej – International Journal of Web-Based Learning and Teaching Technologies, 2023
Distance education between the student and the teacher through online sessions can make it difficult for a student who does not understand a concept to ask for clarification. Lack of a physical campus or social pressure from peers can demotivate students from completing their assignments. The framework of multi-intelligence English teaching based…
Descriptors: Distance Education, Blended Learning, Educational Technology, Multiple Intelligences

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