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Showing 1 to 15 of 117 results Save | Export
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Jun Xiao; Mo Chen; Yule Yang; Mengting Liu – Education and Information Technologies, 2025
Teacher-student interaction is critical for providing learners with support and maintaining effective communication during the teaching process. The online teacher-student interaction mode, has posed challenges to the effectiveness of online classes. However, how to conduct effective interaction in online classes to improve learning outcomes…
Descriptors: Teacher Student Relationship, Interaction, Psychological Patterns, Academic Achievement
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R. K. Kapila Vani; P. Jayashree – Education and Information Technologies, 2025
Emotions of learners are fundamental and significant in e-learning as they encourage learning. Machine learning models are presented in the literature to look at how emotions may affect e-learning results that are improved and optimized. Nevertheless, the models that have been suggested so far are appropriate for offline mode, whereby data for…
Descriptors: Electronic Learning, Psychological Patterns, Artificial Intelligence, Models
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Zuofei Geng; Bei Zeng; A. Y. M. Atiquil Islam; Xuanyi Zhang; Jin Huang – Education and Information Technologies, 2025
Computational thinking (CT) is widely recognized as a fundamental skill in the information age. However, within the context of Chinese early childhood education (ECE), CT remains underrepresented, with a notable gap in the availability of developmentally appropriate and rigorously validated assessment tools designed specifically for…
Descriptors: Mental Computation, Test Validity, Kindergarten, Young Children
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Adil Boughida; Mohamed Nadjib Kouahla; Yacine Lafifi – Education and Information Technologies, 2024
In e-learning environments, most adaptive systems do not consider the learner's emotional state when recommending activities for learning difficulties, blockages, or demotivation. In this paper, we propose a new approach of emotion-based adaptation in e-learning environments. The system will allow recommendation resources/activities to motivate…
Descriptors: Psychological Patterns, Electronic Learning, Educational Environment, Models
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Yimin Ning; Hanyi Zheng; Hongde Wu; Zhijie Jin; Haibin Chang; Tommy Tanu Wijaya – Education and Information Technologies, 2025
This study, grounded in the stimulus-organism-response (SOR) theory, aims to explore how stimulus factors (school support) influence cognitive organisms (psychological resilience, self-efficacy, attitude toward AI, and acceptance of AI), which in turn enhance behavioral responses (AI literacy), while also examining the detrimental effects of AI…
Descriptors: Teachers, Technological Literacy, Artificial Intelligence, Psychological Patterns
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Jesús J. Cambra-Fierro; María Fuentes Blasco; María-Eugenia Eugenia López-Pérez; Andreea Trifu – Education and Information Technologies, 2025
Rapid technological advancements of recent decades have fueled, among other aspects, a global boom in the utilization of artificial intelligence (AI) tools across a variety of areas. Higher education, like other domains, has embraced these innovations, with ChatGPT emerging as one of the latest additions. Faculty perception, ability, and…
Descriptors: Educational Technology, Artificial Intelligence, College Faculty, Teacher Attitudes
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Nilüfer Atman Uslu; Aytug Onan – Education and Information Technologies, 2025
Understanding the emotions experienced by programming students, particularly concerning gender and education level, is increasingly critical. However, only limited research has used text data to examine these differences within the context of programming education and emotions. This study aims to determine programming students' emotions and any…
Descriptors: Programming, Psychological Patterns, Student Attitudes, Secondary School Students
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HanXi Li; Younghwan Pan – Education and Information Technologies, 2025
This study based on the Hedonic Motivation System Adoption Model (HMSAM), the Expectation Confirmation Model (ECM), and Task Technology Fit (TTF), explores the factors influencing users' continuance intention in gamified learning within metaversity. A total of 286 valid questionnaires were collected using random sampling. The data were analyzed…
Descriptors: Gamification, Technology Uses in Education, Student Motivation, Models
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Duygu Mutlu-Bayraktar – Education and Information Technologies, 2024
This study provides a current systematic review of emotional design research in the multimedia learning domain and explores how emotional design is studied in multimedia learning. All studies on emotional design in multimedia learning published until 2023 were examined thoroughly. In this study, 51 journal articles were identified based on PRISMA…
Descriptors: Literature Reviews, Multimedia Materials, Design, Psychological Patterns
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Dirin, Amir; Nieminen, Marko; Laine, Teemu H.; Nieminen, Lassi; Ghalebani, Leila – Education and Information Technologies, 2023
Emotional contagion is an intriguing subject in many academic fields, and it is also relevant in collaborative learning where learners share a physical or virtual space. We aimed at exploring the possibilities of motivating, fascinating, and experiential elements of virtual reality (VR) in a collaborative learning context, with a focus on…
Descriptors: Computer Simulation, Cooperative Learning, Psychological Patterns, College Freshmen
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Hung-Yue Suen; Kuo-En Hung – Education and Information Technologies, 2025
In the rapidly evolving landscape of higher education and adult learning, asynchronous video-based online learning has not only become the new norm but has also emerged as the cornerstone of instructional delivery for Massive Open Online Courses (MOOCs). Despite its widespread adoption, this learning mode confronts a critical challenge: the…
Descriptors: Learner Engagement, Psychological Patterns, Speech Communication, Suprasegmentals
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Joshua Weidlich; Jane Yau; Karel Kreijns – Education and Information Technologies, 2024
Online distance learning presents unique psychosocial characteristics due to the inherent distance between learners. Social presence --the sense of being with others-- is key to mitigating this distance. However, our understanding of social presence remains limited, despite its potential to reduce social isolation and cultivate a conducive social…
Descriptors: Online Courses, Distance Education, Psychological Patterns, Social Isolation
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Jiwon Chung; Hun-yeong Kwon – Education and Information Technologies, 2025
OpenAI's generative pre-trained transformer (ChatGPT) is rapidly transforming fields such as education and becoming an integral part of our daily lives. However, its rise has sparked intense privacy debates, raising concerns about the storage of personal information and attracting global regulatory scrutiny. ChatGPT is gaining popularity among…
Descriptors: Artificial Intelligence, Privacy, Technology Uses in Education, Undergraduate Students
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Yiming Liu; Lingyun Huang; Tenzin Doleck – Education and Information Technologies, 2024
Learning analytics dashboards (LADs) are emerging tools that convert abstract, complex information with visualizations to facilitate teachers' data-driven pedagogical decision-making. While many LADs have been designed, teachers' capacities for using such LADs are not well articulated in the literature. To fill the gap, this study provided a…
Descriptors: Learning Analytics, Teacher Attitudes, Self Management, Psychological Patterns
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Luo, Zhenzhen; Zheng, Chaoyu; Gong, Jun; Chen, Shaolong; Luo, Yong; Yi, Yugen – Education and Information Technologies, 2023
Learning interest affects the way of learning and its process, which is an important factor that affects the learning effect. At present, students' learning interest in a teaching environment is mainly based on a traditional questionnaire or case analysis, which is not conducive for teachers to promptly access students' interest in class to…
Descriptors: Student Interests, Artificial Intelligence, Attention, Psychological Patterns
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