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Fan Ouyang; Luyi Zheng; Xinyu Dai; Weiqi Xu; Pengcheng Jiao – Educational Technology Research and Development, 2025
Computer-supported collaborative concept mapping (CSCCM), as one of the computer-mediated instruction and learning strategies, has been used to foster collaborative knowledge construction (CKC). Previous research has characterized groups based on final knowledge artifacts, products, or performances, rather than the temporal, process-oriented…
Descriptors: Content and Language Integrated Learning, Discourse Analysis, Computer Assisted Instruction, Concept Mapping
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Braad, Eelco; Degens, Nick; Barendregt, Wolmet; IJsselsteijn, Wijnand – Educational Technology Research and Development, 2022
Digital support during self-regulated learning can improve metacognitive knowledge and skills in learners. Previous research has predominantly focused on embedding metacognitive support in domain-specific content. In this study, we examine a detached approach where digital metacognitive support is offered in parallel to ongoing domain-specific…
Descriptors: Metacognition, Information Technology, Student Attitudes, Learning Strategies
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Ulrike Franke; Iris Backfisch; Luisa Scherzinger; Arash Tolou; Christoph Thyssen; Taiga Brahm; Ina Rudolf; Andreas Lachner – Educational Technology Research and Development, 2024
Peer feedback is regarded as playing a vital role in fostering preservice teachers' noticing and reasoning skills during technology integration. However, novices in particular (e.g., pre-service teachers) tend to provide rather superficial feedback, which does not necessarily contribute to professional development. Against this background, we…
Descriptors: Preservice Teacher Education, Preservice Teachers, Peer Evaluation, Prompting
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Yildiz Durak, Hatice; Atman Uslu, Nilüfer – Educational Technology Research and Development, 2023
The main purpose of Computer-Supported Collaborative Learning (CSCL) is to improve academic performance through collaborative systems design. To increase the quantity and quality of interactions in CSCL and to reduce feelings of loneliness and burnout during online learning, learner group regulation should be supported. According to the…
Descriptors: Learning Strategies, Group Dynamics, Cooperative Learning, Computer Assisted Instruction
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Anupma Sangwan; Anurag Sangwan; Anju Sangwan; Poonam Punia – Educational Technology Research and Development, 2024
This study seeks to address knowledge gaps regarding the role of self-regulated learning as a mediator in the relationship between interactions, internet self-efficacy, and student satisfaction. We conducted a survey of 1590 students from north Indian universities about their level of satisfaction, self-regulated learning, internet self-efficacy,…
Descriptors: Distance Education, Student Satisfaction, Self Efficacy, Internet
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Jingjing Chen; Bing Xu; Dan Zhang – Educational Technology Research and Development, 2024
Learning-related attention is one of the most important factors influencing learning. Although technologies have enabled the automatic detection of students' attention levels, previous studies mainly focused on colleges or high schools, lacking further validations in primary school students. More importantly, the detected attention might fail to…
Descriptors: Elementary School Students, Attention, Attention Span, Learning Strategies
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Pankaj Chavan; Ritayan Mitra; Abhinav Sarkar; Aditya Panwar – Educational Technology Research and Development, 2024
The use of Experience Sampling Methods (ESM) to assess students' experiences, motivation, and emotions by sending signals to students at random or fixed time points has grown due to recent technological advances. Such methods offer several advantages, such as capturing the construct in the moment (i.e., when the events are fresh on respondents'…
Descriptors: Reliability, Validity, Student Attitudes, Self Disclosure (Individuals)
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Tang, Hengtao – Educational Technology Research and Development, 2021
Learning in Massive Open Online Courses (MOOCs) requires learners to self-regulate their learning process or receive effective self-regulated learning (SRL) interventions to accomplish personal goals. Much attention has thus been paid to how SRL influences learner performance in MOOCs, but research has overlooked a person-centered analysis of how…
Descriptors: Online Courses, Self Management, Learning Strategies, Students
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Shen, Dandan; Chang, Chiung-Sui – Educational Technology Research and Development, 2023
The emergence of advanced information technology has revolutionized education and accentuated the demand for high-quality learning. However, many teachers fall short of using technology effectively and optimizing instructional design to promote deeper learning. To address this issue, this study proposes a four-element flipped learning model, which…
Descriptors: College Students, Flipped Classroom, Control Groups, Conventional Instruction
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Lu, Kaili; Pang, Feng; Shadiev, Rustam – Educational Technology Research and Development, 2021
Collaborative inquiry-based learning (CIBL) is a notable instructional method used to nurture students' higher order thinking skills. Few studies, however, have examined the mediating effect of learning approach (i.e., deep approach and surface approach) as an essential component in collaborative inquiry-based learning and the association between…
Descriptors: Learning Strategies, Thinking Skills, Cooperative Learning, Active Learning
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Chang, Ching-Yi; Panjaburee, Patcharin; Lin, Hui-Chen; Lai, Chiu-Lin; Hwang, Gwo-Haur – Educational Technology Research and Development, 2022
Fostering students' abilities to deal with practical problems is an important objective of professional training. To enable students to have more practicing time under the supervision of trainers in class, flipped learning has been adopted to shift the lecture time to the before-class stage, and hence more time is available for in-class…
Descriptors: Flipped Classroom, Learning Strategies, Academic Achievement, Self Efficacy
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Tang, Kai-Yu; Chen, Chao-Chen; Hwang, Gwo-Jen; Tu, Yun-Fang – Educational Technology Research and Development, 2022
Mobile learning strategies have been employed for social learning activities, including library- and museum-supported learning. Previous studies have reviewed the literature from the technological aspect. However, a retrospective study from the perspective of bibliometric and network structure has not yet been provided. The aim of this study was…
Descriptors: Learning Strategies, Handheld Devices, Educational Technology, Computer Oriented Programs
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Jui-Hung Chang; Chi-Jane Wang; Hua-Xu Zhong; Hsiu-Chen Weng; Yu-Kai Zhou; Hoe-Yuan Ong; Chin-Feng Lai – Educational Technology Research and Development, 2024
Amidst the rapid advancement in the application of artificial intelligence learning, questions regarding the evaluation of students' learning status and how students without relevant learning foundation on this subject can be trained to familiarize themselves in the field of artificial intelligence are important research topics. This study…
Descriptors: Artificial Intelligence, Technological Advancement, Student Evaluation, Models
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Kuan-Fu Chen; Gwo-Jen Hwang; Mei-Rong Alice Chen – Educational Technology Research and Development, 2024
Many studies have incorporated concept maps into digital games to enable learners to make connections between subject concepts in the game. However, most learners do not associate spontaneously with the thematic concepts in the game but need to be facilitated by effective scaffolding mechanisms to reconceptualize the learning process and content.…
Descriptors: Concept Mapping, Game Based Learning, Learning Strategies, Grade 7
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Valle, Natercia; Antonenko, Pavlo; Valle, Denis; Sommer, Max; Huggins-Manley, Anne Corinne; Dawson, Kara; Kim, Dongho; Baiser, Benjamin – Educational Technology Research and Development, 2021
Based on the achievement goal theory, this experimental study explored the influence of predictive and descriptive learning analytics dashboards on graduate students' motivation and statistics anxiety in an online graduate-level statistics course. Participants were randomly assigned into one of three groups: (1) predictive dashboard; (2)…
Descriptors: Online Courses, Graduate Students, Statistics Education, Anxiety
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