NotesFAQContact Us
Collection
Advanced
Search Tips
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing 1 to 15 of 182 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Qing Yu; Kun Yu; Baomin Li – Education and Information Technologies, 2024
As gamification is introduced into education, researchers believe it has the potential to improve online learning. However, the effects of gamified online learning (GOL) are mixed. Is it more effective than online learning? Given that no meta-analysis analyzes the effectiveness of GOL. This meta-analysis explores the effects of GOL on students'…
Descriptors: Gamification, Electronic Learning, Educational Improvement, Instructional Effectiveness
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Isyati Suparman; Jeya Amantha Kumar; Sharifah Osman – Comunicar: Media Education Research Journal, 2023
Adopting online learning as a mandated means of instruction amid the pandemic guaranteed students the opportunity to integrate digital technologies for English language learning. This experience was pivotal in investigating the continuous use of these platforms to facilitate online language learning post-pandemic. However, few studies have focused…
Descriptors: Electronic Learning, Teaching Methods, Pandemics, COVID-19
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Chen, Chun-Kuei; Huang, Neng-Tang Norman; Hwang, Gwo-Jen – Interactive Learning Environments, 2022
With reference to the Technology-based Learning model for flipped classrooms, a literature review on Social Sciences Citation Index (SSCI) papers published in the Web of Science (WOS) database was conducted, with the application of flipped learning in science education as the research topic. The study analyzed the existing research on author…
Descriptors: Flipped Classroom, Science Education, Educational Research, Research Methodology
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Basel Hammoda; Samuel Foli – Knowledge Management & E-Learning, 2024
Digital technologies are the main driver of the future economy, with technology jobs and those requiring digital skills on the rise. In educational settings, there is an accelerated propagation of digital learning environments, which was amplified by the online shift following COVID-19. To equip learners with the necessary digital skills, there…
Descriptors: Digital Literacy, Educational Technology, Electronic Learning, Educational Environment
Peer reviewed Peer reviewed
PDF on ERIC Download full text
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
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Müslüm Atas; Helmut Lindner; Thomas Strametz; Fatima Jammoul; Johannes Feiner; Antonius Metry Saad – International Association for Development of the Information Society, 2024
With the rapid growth of digital education, e-learning has become essential for offering accessible and flexible learning opportunities. This paper investigates strategies to achieve long-term learning outcomes and reduce study time in e-learning. It explores various techniques, including self-testing, spaced repetition, and the serial position…
Descriptors: Electronic Learning, Time on Task, Memory, Learning Strategies
Peer reviewed Peer reviewed
Direct linkDirect link
Sheng-Kuei Hsu; Yuling Hsu – International Journal of Science and Mathematics Education, 2025
This study was conducted to optimize the designs of learning guides embedded in a computer-based simulation environment. The research was based on the Cognitive Theory of Multimedia Learning and Cognitive Load Theory. We investigated computer simulations under four conditions that combined representation and imagination learning strategies. This…
Descriptors: Geometry, Grade 5, Elementary School Students, Elementary School Mathematics
Letha Marie Mellman – ProQuest LLC, 2020
This e-Delphi study explored learning approaches, as defined by Generation Z (Gen Z) learners, in online academic settings and nonacademic settings. It also considered differences between the two panels (38 participants in each panel, representing 39 states) of learners (Academic and Nonacademic) and compared current literature-supported best…
Descriptors: Generational Differences, Online Courses, Electronic Learning, Best Practices
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Zhuo Zhang; Qian Xu; Adrie A. Koehler; Timothy Newby – Online Learning, 2023
In this quantitative comparative study, we explored the differences in technology integration self-efficacy, use of self-regulated learning strategies, and actual learning between preservice teachers enrolled in blended sections (n = 275) and online sections (n = 50) of the same introductory educational technology course. The results revealed that…
Descriptors: Blended Learning, Electronic Learning, Distance Education, Self Efficacy
Previous Page | Next Page »
Pages: 1  |  2  |  3  |  4  |  5  |  6  |  7  |  8  |  9  |  10  |  11  |  12  |  13