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Showing 1 to 15 of 18 results Save | Export
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Jingjing Ma; Qingtang Liu; Shufan Yu; Xiaojuan Li; Jindian Liu – Educational Technology Research and Development, 2025
In science education, the abstraction and complexity of scientific concepts are usually stumbling blocks that prevent students from learning science. Recently, augmented reality (AR) has offered transformative potential to support scientific concept learning by visualizing scientific phenomena and enhancing students' experiences. However, the lack…
Descriptors: Scientific Concepts, Concept Mapping, Cognitive Structures, Cognitive Processes
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Jingjing Ma; Qingtang Liu; Shufan Yu; Jindian Liu; Xiaojuan Li; Chunhua Wang – British Journal of Educational Technology, 2025
This research employs the fuzzy-set qualitative comparative analysis (fsQCA) method to investigate the configurations of multiple factors influencing scientific concept learning, including augmented reality (AR) technology, the concept map (CM) strategy and individual differences (eg, prior knowledge, experience and attitudes). A quasi-experiment…
Descriptors: Science Education, Scientific Concepts, Comparative Analysis, Qualitative Research
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Kuo, Yu-Chen; Chang, Yen-Cheng – Education and Information Technologies, 2023
In recent years, flipped classroom has become a popular teaching method. Compared with the traditional teaching method, the flipped classroom gives learners and teachers more opportunities to discuss. However, the flipped classroom has also encountered some difficulties. If we do not consider the different learning conditions of each learner when…
Descriptors: Flipped Classroom, Barriers, Multimedia Instruction, Educational Technology
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Chou, Yin-Yu; Wu, Pei-Fen; Huang, Chun-Yen; Chang, Shan-Hsi; Huang, Hwa-Shan; Lin, Wei-Min; Lin, Man-Li – Asia-Pacific Education Researcher, 2022
This study explores whether learning approaches combining augmented reality and multidimensional concept maps (ARMCMs) would improve learning effectiveness, learning motivation, learning satisfaction, and cognitive load more than multidimensional concept maps (MCMs) and augmented reality (AR) learning do. The study employed a quasi-experimental…
Descriptors: Computer Simulation, Concept Mapping, Learning Motivation, Instructional Effectiveness
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Jáñez, Alvaro; Rosales, Javier; Rouet, Jean-François – Journal of Educational Multimedia and Hypermedia, 2021
The aim of this study was to examine the effects of structure and navigation aids on students' learning from hypertexts. Participants were 48 undergraduate students. Group 1 (N = 24) read 2 hypertexts (one network, one hierarchical) with high navigation support (a graphical overview, a coherent links list, and use of different colours for visited…
Descriptors: Educational Technology, Hypermedia, Text Structure, Navigation (Information Systems)
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Hauck, David Johannes; Melle, Insa – Education Sciences, 2021
Collaboration is regarded as one of the core competences of the 21st century when it comes to complex problem solving. In response to high dropout rates among STEM students, we developed a digital-collaborative intervention on a difficult topic, MO theory, for first-year chemistry students. First, students work independently in a Digital Learning…
Descriptors: College Freshmen, College Science, Science Instruction, Chemistry
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Conradty, C.; Bogner, F. X. – Educational Studies, 2012
Our study focuses on the correlation of concept map (CMap) structures and learning success tested with short answer tests, taking into particular account the complexity of the subject matter. Novice sixth grade students created CMaps about two subject matters of varying difficulty. The correlation of the complexity of CMaps with the post-test was…
Descriptors: Concept Mapping, Cognitive Structures, Grade 6, Correlation
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Bonestroo, Wilco J.; de Jong, Ton – Interactive Learning Environments, 2012
Self-regulated learners are expected to plan their own learning. Because planning is a complex task, it is not self-evident that all learners can perform this task successfully. In this study, we examined the effects of two planning support tools on the quality of created plans, planning behavior, task load, and acquired knowledge. Sixty-five…
Descriptors: Foreign Countries, Educational Technology, Preferences, Planning
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Liu, Jun; Sha, Sha; Zheng, Qinghua; Zhang, Wei – International Journal of Distance Education Technologies, 2012
Assigning difficulty level indicators to the knowledge units helps the learners plan their learning activities more efficiently. This paper focuses on how to use the topology of a knowledge map to compute and rank the difficulty levels of knowledge units. Firstly, the authors present the hierarchical structure and properties of the knowledge map.…
Descriptors: Foreign Countries, Knowledge Level, Difficulty Level, Educational Technology
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Simonson, Michael, Ed. – Association for Educational Communications and Technology, 2016
For the thirty-ninth time, the Research and Theory Division of the Association for Educational Communications and Technology (AECT) is sponsoring the publication of these Proceedings. Papers published in this volume were presented at the annual AECT Convention in Las Vegas, Nevada. The Proceedings of AECT's Convention are published in two volumes.…
Descriptors: Annual Reports, Conference Papers, Conferences (Gatherings), Educational Technology
Foor, Jamie L. – ProQuest LLC, 2011
In this study, I investigated the effectiveness of the knowledge map (k-map) instructional strategy compared to a text-based presentation in an online environment. K-maps consist of node-link representations of concepts that together form the content of a topic or domain. The benefits of using k-maps are that concepts and ideas are represented as…
Descriptors: Instructional Effectiveness, Web Based Instruction, Educational Technology, Comparative Analysis
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Chen, Chih-Ming – British Journal of Educational Technology, 2009
Developing personalised web-based learning systems has been an important research issue in e-learning because no fixed learning pathway will be appropriate for all learners. However, most current web-based learning platforms with personalised curriculum sequencing tend to emphasise the learner preferences and interests in relation to personalised…
Descriptors: Electronic Learning, Concept Mapping, Difficulty Level, Cognitive Processes
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Chu, Hui-Chun; Hwang, Gwo-Jen; Huang, Yueh-Min – Innovations in Education and Teaching International, 2010
Conventional testing systems usually give students a score as their test result, but do not show them how to improve their learning performance. Researchers have indicated that students would benefit more if individual learning guidance could be provided. However, most of the existing learning diagnosis models ignore the fact that one concept…
Descriptors: Test Results, Teaching Methods, Elementary School Students, Elementary School Teachers
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Cameron, Ian; Crosthwaite, Caroline; Norton, Christine; Balliu, Nicoleta; Tadé, Moses; Hoadley, Andrew; Shallcross, David; Barton, Geoff – Advances in Engineering Education, 2008
This work presents a unique education resource for both process engineering students and the industry workforce. The learning environment is based around spherical imagery of real operating plants coupled with interactive embedded activities and content. This Virtual Reality (VR) learning tool has been developed by applying aspects of relevant…
Descriptors: Engineering Education, Industry, Electronic Learning, Simulated Environment
Lee, Chien-Ching; Bopry, Jeannette; Hedberg, John – ALT-J: Research in Learning Technology, 2007
This study looks at a specific application of Ainsworth's conceptual framework for learning with multiple representations in the context of using multiple sequential graphic organizers that are student-generated for a process-writing task. Process writing refers to writing that consists of multiple drafts. It may be a process of re-writing without…
Descriptors: Feedback (Response), Concept Mapping, Writing Ability, Cognitive Processes
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