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Lixiang Xu; Zhanlong Wang; Suojuan Zhang; Xin Yuan; Minjuan Wang; Enhong Chen – IEEE Transactions on Learning Technologies, 2024
Knowledge tracing (KT) is an intelligent educational technology used to model students' learning progress and mastery in adaptive learning environments for personalized education. Despite utilizing deep learning models in KT, current approaches often oversimplify students' exercise records into knowledge sequences, which fail to explore the rich…
Descriptors: Knowledge Level, Educational Technology, Intelligent Tutoring Systems, Individualized Instruction
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Zakaria Tagdimi; Souhaib Aammou; Marina Sounoglou – International Association for Development of the Information Society, 2025
Personalization is often perceived as a technical problem in the context of digital education. However, it is also a cognitive challenge, requiring an understanding of how learners process information. This study presents a cognitive-based recommendation model designed and tested within the Master's program in E-learning and Intelligent…
Descriptors: Artificial Intelligence, Models, Masters Programs, Foreign Countries
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Xizhe Wang; Yihua Zhong; Changqin Huang; Xiaodi Huang – IEEE Transactions on Learning Technologies, 2024
Reading comprehension is a widely adopted method for learning English, involving reading articles and answering related questions. However, the reading comprehension training typically focuses on the skill level required for a standardized learning stage, without considering the impact of individual differences in linguistic competence. This…
Descriptors: Reading Comprehension, Artificial Intelligence, Computer Software, Synchronous Communication
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McCarthy, Kathryn S.; Watanabe, Micah; Dai, Jianmin; McNamara, Danielle S. – Journal of Research on Technology in Education, 2020
Computer-based learning environments (CBLEs) provide unprecedented opportunities for personalized learning at scale. One such system, iSTART (Interactive Strategy Training for Active Reading and Thinking) is an adaptive, game-based tutoring system for reading comprehension. This paper describes how efforts to increase personalized learning have…
Descriptors: Game Based Learning, Reading Comprehension, High School Students, Educational Technology
McCarthy, Kathryn S.; Watanabe, Micah; Dai, Jianmin; McNamara, Danielle S. – Grantee Submission, 2020
Computer-based learning environments (CBLEs) provide unprecedented opportunities for personalized learning at scale. One such system, iSTART (Interactive Strategy Training for Active Reading and Thinking) is an adaptive, game-based tutoring system for reading comprehension. This paper describes how efforts to increase personalized learning have…
Descriptors: Game Based Learning, Reading Comprehension, High School Students, Educational Technology
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Gybas, Vojtech; Klubal, Libor; Kostolányová, Katerina – International Association for Development of the Information Society, 2019
This paper summarizes the results of the completed and defended dissertation on the topic of Categorization of pupil work with tablets in a special elementary school in the Czech Republic. This work was a two-phase research. Qualitative research - a four-year structured observation of pupils at a special elementary school, where categorization was…
Descriptors: Foreign Countries, Handheld Devices, Telecommunications, Educational Technology
Chiu, Thomas K. F.; Lim, Cher Ping – ECNU Review of Education, 2020
Purpose: A growing body of research has focused on the topic of inclusive education for ethnic minorities in Hong Kong. At the same time, few scholars have explored the role technology can play in enhancing inclusivity within the context of quality education. This study examines how the differentiated use of technology that takes into account…
Descriptors: Technology Integration, Educational Technology, Video Technology, Educational Strategies
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Salahli, Mehmet Ali; Özdemir, Muzaffer; Yasar, Cumali – International Education Studies, 2013
One of the most important factors for improving the personalization aspects of learning systems is to enable adaptive properties to them. The aim of the adaptive personalized learning system is to offer the most appropriate learning path and learning materials to learners by taking into account their profiles. In this paper, a new approach to…
Descriptors: Individualized Instruction, Electronic Learning, Educational Technology, Profiles
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Stiller, Klaus D.; Freitag, Annika; Zinnbauer, Peter; Freitag, Christian – Australasian Journal of Educational Technology, 2009
"Present text accompanying pictures aurally to promote learning" is a well established principle of instructional design. But recently, it was shown that under certain conditions visual texts can be preferable. Instructional pacing seems to be one of these conditions that mediate effects. Especially, enabling learners to pace an…
Descriptors: Pacing, Instructional Effectiveness, Learning Modalities, Visual Aids
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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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Sampson, Demetrios G., Ed.; Spector, J. Michael, Ed.; Ifenthaler, Dirk, Ed.; Isaías, Pedro, Ed. – International Association for Development of the Information Society, 2017
These proceedings contain the papers of the 14th International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2017), 18-20 October 2017, which has been organized by the International Association for Development of the Information Society (IADIS) and endorsed by the Japanese Society for Information and Systems in…
Descriptors: Conference Papers, Student Journals, Diaries, Self Management
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Heo, Misook; Chow, Anthony – Educational Technology & Society, 2005
The purpose of the study was to investigate the impact of an experimental online learning tool on student performance. By applying cognitive load theory to online learning, the experimental tool used was designed to minimize cognitive load during the instructional and learning process. This tool enabled students to work with programming code that…
Descriptors: Feedback (Response), Control Groups, Graduate Students, Online Courses