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Showing 1 to 15 of 124 results Save | Export
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Ziyan Yang; Jia Hu; Shaochun Zhong; Lan Yang; Geyong Min – Education and Information Technologies, 2025
Intelligent technology plays a pivotal role in revolutionizing learning assessments, overcoming the constraints of traditional assessment methods and driving educational innovation. Knowledge tracing (KT) emerges as a critical component for assessing students' learning states and forecasting their future performance. However, existing graph-based…
Descriptors: Learning Processes, Artificial Intelligence, Graphs, Concept Mapping
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Allison Sauerwein; Natalie Quinlan; Coral Viernow – Teaching and Learning in Communication Sciences & Disorders, 2025
Concept maps make students' knowledge visible. Creating a mind map gives students an opportunity to organize their knowledge and allows instructors to visualize and assess it. When students create mind maps at multiple time points, instructors can compare the maps and use the themes, patterns, and gaps that emerge to reflect on their teaching and…
Descriptors: Concept Mapping, Cognitive Mapping, Augmentative and Alternative Communication, Learning Processes
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Jamie Costley; Anastasiia Kapuza; Anna Gorbunova; Irina Shcheglova – Instructional Science: An International Journal of the Learning Sciences, 2025
Cognitive load theory describes the mechanisms for the transfer of information from human working memory to long-term memory. This theory posits that increasing the number of interactive elements, such as interconnections, may increase cognitive load. This study investigates the impact of interconnections in concept maps on cognitive load,…
Descriptors: Cognitive Processes, Difficulty Level, Concept Mapping, Short Term Memory
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Eshuis, Elise H.; ter Vrugte, Judith; de Jong, Ton – Metacognition and Learning, 2022
Creating concept maps is considered to be a powerful means for learning. It requires students to systematically organize and integrate their knowledge, which can foster meaningful learning. However, students scarcely spontaneously engage in the (meta)cognitive processes necessary for effective knowledge integration, such as reflection, which can…
Descriptors: Reflection, Learning Processes, Concept Mapping, Metacognition
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Ye Jia; Xiangzhi Eric Wang; Zackary P. T. Sin; Chen Li; Peter H. F. Ng; Xiao Huang; George Baciu; Jiannong Cao; Qing Li – IEEE Transactions on Learning Technologies, 2024
One of the promises of edu-metaverse is its ability to provide a virtual environment that enables us to engage in learning activities that are similar to or on par with reality. The digital enhancements introduced in a virtual environment contribute to our increased expectations of novel learning experiences. However, despite its promising…
Descriptors: Computer Simulation, Educational Technology, Learning Processes, Socialization
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Lu, Yu; Chen, Penghe; Pian, Yang; Zheng, Vincent W. – IEEE Transactions on Learning Technologies, 2022
In this article, we advocate for and propose a novel concept map driven knowledge tracing (CMKT) model, which utilizes educational concept map for learner modeling. This article particularly addresses the issue of learner data sparseness caused by the unwillingness to practice and irregular learning behaviors on the learner side. CMKT considers…
Descriptors: Concept Mapping, Learning Processes, Prediction, Models
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Fernando Veiga; Alain Gil-Del-Val; Edurne Iriondo; Urko Eslava – International Journal of Technology and Design Education, 2025
This paper presents the experimental work developed to measure the learning process through concept map analysis. The development of a concept map is requested by the students for each chapter or theme of the subject. As a result, maps from engineering courses have been analyzed. The measurements carried out consider several parameters, such as…
Descriptors: College Students, Engineering Education, Concept Mapping, Learning Processes
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Leonora Kaldaras; Hope O. Akaeze; Joseph Krajcik – Journal of Research in Science Teaching, 2024
Chemical bonding is central to explaining many phenomena. Research in chemical education and the Framework for K-12 Science Education (the "Framework") argue for new approaches to learning chemical bonding grounded in (1) using ideas of the balance of electric forces and energy minimization to explain bond formation, (2) using learning…
Descriptors: Science Education, Academic Standards, Chemistry, Energy
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Krieglstein, Felix; Schneider, Sascha; Beege, Maik; Rey, Günter Daniel – Educational Technology Research and Development, 2022
Concept maps are assumed to enhance learning as their inherent structure makes relations between information more salient. Nevertheless, research on how to design concept maps as conducive to learning as possible is still rare. In particular, the salience of spatial arrangement of thematically related concepts within the map as well as the…
Descriptors: Cognitive Processes, Concept Mapping, Instructional Design, Learning Processes
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Jian-Wen Fang; Li-Yuan He; Gwo-Jen Hwang; Xiu-Wei Zhu; Chu-Nu Bian; Qing-Ke Fu – Interactive Learning Environments, 2023
STEM (Science, Technology, Engineering, and Mathematics) education is attracting increasing attention, but how to improve students' STEM learning achievement is still a big challenge. In the process of learning, students actively set learning goals, organize learning content, set learning standards, and independently adapt learning strategies and…
Descriptors: Students, STEM Education, Self Management, Concept Mapping
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Gavens, Nathalie; Doignon-Camus, Nadège; Chaillou, Anne-Clémence; Zeitler, Alexandre; Popa-Roch, Maria – Journal of Experimental Education, 2022
The purpose of the experiment reported here was to investigate whether mind mapping adds any value as a studying technique to that of testing. We compared the effects of mind mapping on acquisition on graders (N = 68) in a secondary school in two separate consecutive periods of learning called series. In series 1, half the students used mind…
Descriptors: Concept Mapping, Secondary School Students, Testing, Learning Processes
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He, Xiuling; Fang, Jing; Cheng, Hercy N. H.; Men, Qibin; Li, Yangyang – Education and Information Technologies, 2023
A deep understanding of the learning level of online learners is a critical factor in promoting the success of online learning. Using knowledge structures as a way to understand learning can help analyze online students' learning levels. The study used concept maps and clustering analysis to investigate online learners' knowledge structures in a…
Descriptors: Electronic Learning, Cognitive Structures, Concept Mapping, Learning Processes
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Gwo-Jen Hwang; Chun-Chun Chang; Chin-Ya Juan – Educational Technology Research and Development, 2025
Problem-posing has been regarded as a potential method to engage students in deeper thinking; however, without sufficient supports, most students could encounter difficulties in posing quality problems. In this study, a concept mapping-based online cooperative problem-posing (CM-OCPP) approach is proposed to guide students to complete…
Descriptors: Learning Processes, Learning Strategies, Concept Mapping, Electronic Learning
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Sanchiz, M.; Amadieu, F.; Lemarié, J.; Tricot, A. – Journal of Computing in Higher Education, 2023
Learning with hypertexts require learners to navigate in a non-linear environment and build a coherent representation of the informational content. The expansion of digital technologies and hypertext use in higher education has emphasized the need to examine how technological tools may foster quality learning. This study examined how three types…
Descriptors: Hypermedia, Technology Uses in Education, Instructional Materials, Outcomes of Education
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Helena C. Malinakova – Journal of Chemical Education, 2025
Organic chemistry presents a significant obstacle for students seeking entry into health-related professions. Students' ability to develop effective study approaches is an important predictor of success in the course. Herein, we report an investigation utilizing an OCH-adjusted M-ASSIST instrument to assess possible changes in students' study…
Descriptors: Longitudinal Studies, Study Habits, Organic Chemistry, Structural Equation Models
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