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Showing 1 to 15 of 19 results Save | Export
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Chenglu Li; Wanli Xing; Walter Leite – Interactive Learning Environments, 2024
As instruction shifts away from traditional approaches, online learning has grown in popularity in K-12 and higher education. Artificial intelligence (AI) and learning analytics methods such as machine learning have been used by educational scholars to support online learners on a large scale. However, the fairness of AI prediction in educational…
Descriptors: Artificial Intelligence, Prediction, Mathematics Achievement, Algorithms
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Mengqian Wang; Wenge Guo; Qian Dong – Interactive Learning Environments, 2024
Given the changing nature of literacy, it is critical to investigate how learners communicate using the multimodal affordances of digital platforms. Guided by metafunctions of Systemic Functional Linguistics, this study developed a multimodal analytical framework to quantify multimodal composing with indicators of functional meaning to evaluate…
Descriptors: Foreign Countries, High School Students, Digital Literacy, Learning Modalities
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Yang, Tzu-Chi; Chen, Sherry Y. – Interactive Learning Environments, 2023
Individual differences exist among learners. Among various individual differences, cognitive styles can strongly predict learners' learning behavior. Therefore, cognitive styles are essential for the design of online learning. There are a variety of cognitive style dimensions and overlaps exist among these dimensions. In particular, Witkin's field…
Descriptors: Student Behavior, Educational Technology, Electronic Learning, Cognitive Style
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Wang, Hsin-Yun; Sun, Jerry Chih-Yuan – Interactive Learning Environments, 2023
This study investigated student engagement and focused attention in three co-creation environments (a paper-based environment, the 2D Jamboard platform, and the CoSpaces virtual reality (VR) platform). The study utilized a quasi-experimental research design with a total of 66 tenth-grade students including 34 males (52%) and 32 females (48%) from…
Descriptors: Computer Simulation, Learner Engagement, Attention, Electronic Learning
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Afsheen Rezai; Azam Naserpour; Siamak Rahimi – Interactive Learning Environments, 2024
The purpose of this study is three-fold. First, to explore the effects of online peer-dynamic assessment (Peer-DA), rooted in the Zone of Proximal Development (ZPD) notion, on boosting Iranian high school students' writing skills. Second, to disclose how online Peer-DA can lead to improving the participants' writing skills. Third, to disclose…
Descriptors: Electronic Learning, Peer Evaluation, High School Students, Writing Skills
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Pakaja, Fachrudin; Wafa, Mohammad – Interactive Learning Environments, 2023
Interest is the basic driver of a person is doing something to achieve his goals, and in action-reaction theory, the measure that is widely used is attitude. Through behavioral intention to adopt, we examined its effect on online learning interest using perceived usefulness (PU), perceived ease of use (PEOU) and self-efficacy (SE). In addition,…
Descriptors: Parent Participation, Educational Technology, Student Interests, Electronic Learning
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Paul Bazelais; Gurinder Binner; Tenzin Doleck – Interactive Learning Environments, 2024
As an important tool for STEM education, online labs have gained significant research attention. However, our understanding of online labs is limited by the inattention to the factors that contribute to the acceptance of online labs. This study adopts the UTAUT model to investigate the salient determinants of use of online labs. We test the…
Descriptors: Foreign Countries, High School Students, College Bound Students, Physics
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Jo-Chi Hsiao; Jason S. Chang – Interactive Learning Environments, 2024
During the COVID-19 pandemic, global teachers gained extensive experiences with teaching online courses. To design quality online courses in the post-pandemic era, the impact of the latest technology, such as artificial intelligence (AI), must be considered. Investigating how teachers incorporate AI-powered tools and how students perceive learning…
Descriptors: Artificial Intelligence, Technology Uses in Education, Electronic Learning, English (Second Language)
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Chi-Tung Chen; Chih-Ming Chen; Hsiao-Ting Tsai – Interactive Learning Environments, 2024
This study utilised the instant semantic analysis and feedback system (ISAFS) to assist learners in the online discussion learning activities of socio-scientific issues (SSIs) and to document their learning process behaviours for behavioural analyses. The aim was to understand the learners' discussion behaviours during the ISAFS assisted learning…
Descriptors: Behavior Patterns, Electronic Learning, Discussion, Instructional Effectiveness
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Hwang, Wu-Yuin; Hariyanti, Uun; Chen, Nian-Shing; Purba, Siska Wati Dewi – Interactive Learning Environments, 2023
The purpose of this study is to develop and validate an authentic contextual learning framework with six constructs to model the relationships among essential factors of authentic contextual learning. In particular, this framework explores the relationships across six constructs, i.e. learning by applying, healthy learning, collaborative learning,…
Descriptors: Authentic Learning, Models, Experiential Learning, Cooperative Learning
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Chou, Yi-Shiuan; Hou, Huei-Tse; Chang, Kuo-En; Su, Chien-Lun – Interactive Learning Environments, 2023
This study proposed a cognitive-based game mechanism based on the revised Bloom's taxonomy of cognitive processing dimensions. Moreover, a mobile Chinese history educational game, Void Broken: The Qing Dynasty, was developed based on the cognitive-based game mechanism to promote learners' cognitive thinking in history learning. This empirical…
Descriptors: Cognitive Processes, Handheld Devices, Electronic Learning, Thinking Skills
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Zhi Quan; Lynn Grant; Darryl Hocking; Andy Connor – Interactive Learning Environments, 2024
In recent years, the emerging trend of mobile learning (hereinafter "m-learning") has obtained increasing attention from educators and higher popularity among students worldwide. Partly due to its short history, there seems to be a lack of comprehensive and in-depth understanding on the distinctiveness of m-learning. It is maintained in…
Descriptors: Electronic Learning, Technology Integration, Educational Technology, Computer Assisted Instruction
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Repetto, Claudia; Di Natale, Anna Flavia; Villani, Daniela; Triberti, Stefano; Germagnoli, Serena; Riva, Giuseppe – Interactive Learning Environments, 2023
The large-scale diffusion of tablets and smartphones in the last decades offered new opportunities to broaden educational strategies. In particular, the Mobile-Assisted Language Learning (MALL) emerged as a promising approach leveraging the widespread availability of portable devices. In this study we investigated the feasibility and efficacy of a…
Descriptors: Video Technology, Technology Uses in Education, Use Studies, Instructional Effectiveness
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Hua-yang Zhang; Yi-xin Wang; Wei Liu – Interactive Learning Environments, 2024
During the normalization of COVID-19 control measures, more and more high school students are learning through the Internet. With the widespread use of online teaching, students' internet self-efficacy has become an important factor in measuring students' online learning ability. Although researchers have been paying greater attention to the…
Descriptors: High School Students, Internet, Self Efficacy, Influence of Technology
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Zhang, Hai; Yu, Luyao; Ji, Mengxue; Cui, Yulu; Liu, Dongping; Li, Yan; Liu, Haiqiao; Wang, Yining – Interactive Learning Environments, 2020
Recently, Virtual Reality (VR) has developed rapidly. Some studies propose that VR has a great deal of potential as an instructional media for learning, while other studies indicate that VR may be ineffective or even negatively influence learners' learning experience. Few studies provide reference to educators or teachers based on empirical data.…
Descriptors: Foreign Countries, High School Students, Student Attitudes, Electronic Learning
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