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Showing 1 to 15 of 21 results Save | Export
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Chen, Hao; Zhang, Yan; Zhang, Song; Lyu, Tu – Education and Information Technologies, 2023
This study examines the effect of a gamified information security education system (ISES) on developing users' information security awareness and protection behavioral intention. We developed a research model based on affordance theory and means-end chain theory. Using a scenario-based experimental survey approach, we obtained 220 valid samples…
Descriptors: Intention, Information Security, Computer Security, Correlation
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Yu-Teng Jang; I-Ting Chiang – Education and Information Technologies, 2024
The study aims to probe the roles of learning desire and persistence in influencing Gen Z learners' continuance intention of using YouTube for learning in digital learning context. Building upon prior research, a research framework with 10 hypotheses was proposed and empirically tested by using Partial Least Squares Structure Equation Modelling…
Descriptors: Age Groups, Learning Management Systems, Teaching Methods, Academic Persistence
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Lilian Anthonysamy; Poovilashini Sugendran; Lim Ooi Wei; Teoh Sian Hoon – Education and Information Technologies, 2024
Enhancing students' analytical thinking skills holds great promise for bolstering a nation's economic growth, fostering a dynamic learning culture, and nurturing human capital development. It is especially critical in today's rapidly changing landscape, where the demand for skilled, adaptable graduates is high. Achieving and sustaining these…
Descriptors: Metacognition, Competence, Logical Thinking, College Students
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Regina Sutarmina; Jamie Costley; Anna Gorbunova; Christopher Lange – Education and Information Technologies, 2025
This study examines relationships among several variables within the context of online learning in higher education including self-regulated effort, maintained situational interest, gender differences, and age-related factors. Analyzing data from a diverse Open Cyber University of Korea student sample, the research highlights a positive…
Descriptors: Online Courses, Learning Motivation, Metacognition, Age Differences
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Fuhai An; Linjin Xi; Jingyi Yu – Education and Information Technologies, 2024
The current study assessed 495 middle school students in China using self-report questionnaires, to examine the multiple mediating effects of intrinsic motivation and learning engagement (vitality, dedication and absorption) in the relations between technology acceptance and students' self-regulated learning. The results indicated that technology…
Descriptors: Learner Engagement, Middle School Students, Metacognition, Learning Motivation
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Xinlei Li; Guoyuan Sang; Martin Valcke; Johan van Braak – Education and Information Technologies, 2024
Computational thinking (CT) is valued as a thinking process that is required to adapt to the development of curriculum in primary education. In the context of modern information technology, English as a language subject emphasizes the necessity for changes in both learning and teaching modes. However, there is a lack of up-to-date synthesis…
Descriptors: Computer Science Education, Technological Literacy, Pedagogical Content Knowledge, Elementary School Students
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Li, Wei; Liu, Cheng-Ye; Tseng, Judy C. R. – Education and Information Technologies, 2023
Collaborative programming can develop computational thinking and knowledge of computational programming. However, the researchers pointed out that because students often fail to mobilize metacognition to regulate and control their cognitive activities in a cooperation, this results in poor learning effects. Especially low-achieving students need…
Descriptors: Correlation, Metacognition, Thinking Skills, Programming
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Yanxia Yang – Education and Information Technologies, 2024
The use of machine translation has become a topic of debate in language learning, which highlights the need to thoroughly examine the appropriateness and role of machine translation in educational settings. Under the theoretical framework of task-technology fit, this explanatory case study set out to investigate the predictive role of machine…
Descriptors: Translation, Computational Linguistics, Learning Processes, English (Second Language)
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Fuhai An; Jiawei Guo – Education and Information Technologies, 2024
Peer relationships play important roles in middle-school students' individual development. Peer support is indispensable in computer-supported learning contexts. This study is designed to explore the connection between perceived peer support and deeper learning, while examining the mediating role of computer self-efficacy and perceived classroom…
Descriptors: Peer Relationship, Goal Orientation, Mastery Learning, Prediction
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Ju Wang; Lu Guo; Jing qi Gao; Hua Zhao – Education and Information Technologies, 2024
This study is based on a comprehensive review of existing literature. Drawing upon the theories of task-technology fit (TTF) and technology adoption model (TAM), an integrated theoretical framework is developed. The framework places adaptability as a critical outcome variable and quality standard. This study constructs a student-centered online…
Descriptors: Foreign Countries, Online Courses, Distance Education, Technology Integration
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Yi Zheng; Yabing Wang; Kelly Shu-Xia Liu; Michael Yi-Chao Jiang – Education and Information Technologies, 2024
Grounded in the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2), this study investigates the interplay between key UTAUT2 constructs and motivation modeled by Self-Determination Theory (SDT) in shaping English as a Foreign Language (EFL) learners' behavioral intention and actual use of generative AI tools. Accordingly, three research…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Learning Motivation
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Tawafak, Ragad M.; Romli, Awanis B. T.; Arshah, Ruzaini bin Abdullah; Malik, Sohail Iqbal – Education and Information Technologies, 2020
The technology enhancement learning (TEL) needs continuous use and high perception from learners with collaborative of technologies and multi-media applications. The problem of continuous intention in e-learning applications relies on the type of technology used that changes from one university to another. This study aims to design a framework…
Descriptors: Teaching Methods, Electronic Learning, Models, Multimedia Materials
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Dindar, Muhterem; Malmberg, Jonna; Järvelä, Sanna; Haataja, Eetu; Kirschner, Paul A. – Education and Information Technologies, 2020
This study investigated the interplay of temporal changes in self-regulated learning processes (i.e., behavioral, cognitive, motivational and emotional) and their relationship with academic achievement in computer-supported collaborative learning. The study employed electrodermal activity and self-report data to capture the dynamicity of…
Descriptors: Metacognition, Learning Processes, Academic Achievement, Computer Assisted Instruction
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Ni, Aohua; Cheung, Alan – Education and Information Technologies, 2023
Previous studies have demonstrated the effectiveness of intelligent tutoring systems (ITS) in facilitating English learning. However, no empirical research has been conducted on secondary students' intention to use ITSs in the language domain. This study proposes an extended technology acceptance model (TAM) to predict secondary students'…
Descriptors: Intelligent Tutoring Systems, English (Second Language), Second Language Learning, Second Language Instruction
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Abdulkadir Palanci; Rabia Meryem Yilmaz; Zeynep Turan – Education and Information Technologies, 2024
This study aims to reveal the main trends and findings of the studies examining the use of learning analytics in distance education. For this purpose, journal articles indexed in the SSCI index in the Web of Science database were reviewed, and a total of 400 journal articles were analysed within the scope of this study. The systematic review…
Descriptors: Learning Analytics, Distance Education, Educational Trends, Periodicals
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