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Virtual vs. traditional learning in higher education: A systematic review of comparative studies Comput. Educ. (IF 8.9) Pub Date : 2024-12-03 Tommaso Santilli, Silvia Ceccacci, Maura Mengoni, Catia Giaconi
The evolving landscape of educational technologies has ushered Virtual Reality (VR) in the forefront of higher education. As the COVID-19 pandemic propelled a rapid shift toward e-learning, the demand for high-quality distance education has surged, prompting an exploration of VR as a viable solution. While existing research indicates that VR supports student engagement and learning experiences compared
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How does social support detected automatically in discussion forums relate to online learning burnout? The moderating role of students’ self-regulated learning Comput. Educ. (IF 8.9) Pub Date : 2024-12-03 Changqin Huang, Yaxin Tu, Qiyun Wang, Mingxi Li, Tao He, Di Zhang
Engaging students in online discussion forums with social support holds significant potential for preventing and alleviating student burnout. However, the mechanisms by which different types of social support influence learning burnout remain poorly understood. Additionally, existing methods for detecting social support detection are limited in both practical application and theoretical advancement
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The effects of different metacognitive patterns on students' self-regulated learning in blended learning Comput. Educ. (IF 8.9) Pub Date : 2024-12-01 Xingyu Geng, Yu-Sheng Su
Self-regulated learning has significant importance in blended learning, necessitating an exploration into the effects of metacognition on SRL. Furthermore, SRL exhibits interdependence, thus highlighting the urgent need for research that can capture the temporal processes of SRL in multi-task activities during blended learning. Over 18 weeks, 44 students participated in three SRL tasks designed for
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Effectiveness of gamified intelligent tutoring in physical education through the lens of self-determination theory Comput. Educ. (IF 8.9) Pub Date : 2024-11-30 Lu-Ho Hsia, Yen-Nan Lin, Chung-Hisenh Lin, Gwo-Jen Hwang
Scholars have recommended the application of an intelligent tutoring and instant feedback system (ITIFS) to enhance students' motor skills performance by automatically evaluating their learning performance and providing personalized guidance and feedback. However, solely providing personalized evaluation and feedback may not necessarily attract students' active and sustained engagement in practice
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Learning to Evaluate (Mis)information in an Online Game: Strategies Matter! Comput. Educ. (IF 8.9) Pub Date : 2024-11-26 Sarit Barzilai, Marc Stadtler
Digital games can help students learn how to cope with misinformation. However, misinformation games typically include multiple game mechanics, making it hard to identify which mechanics contribute to learning. Hence, the aim of this study was to clarify how misinformation games promote learning by examining the effects of two promising misinformation game mechanics– simulating evaluation strategies
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Young learners’ motivation, self-regulation and performance in personalized learning Comput. Educ. (IF 8.9) Pub Date : 2024-11-23 Kevin Ackermans, Marjoke Bakker, Anne-Marieke van Loon, Marijke Kral, Gino Camp
Personalized learning, a topic that has garnered significant attention in education, is known for its potential to cater to student's unique needs and improve educational outcomes. However, most large-scale longitudinal studies on personalized learning have primarily focused on middle school students and above (age ≥11). This study, in contrast, delves into the uncharted territory of how personalized
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Mapping the prevalence of mixed methods research in educational technology journals Comput. Educ. (IF 8.9) Pub Date : 2024-11-21 Olha Ketsman, Alissa Droog, Sumaiya Qazi
Advancing knowledge in educational technology requires a diverse array of research designs, methodologies, and data sources. Mixed methods research, particularly valuable for studying intricate issues, remains scarce in educational technology. The purpose of this study is to examine the prevalence of mixed methods research studies published in the top 10 educational technology journals between 2018
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Unpacking help-seeking process through multimodal learning analytics: A comparative study of ChatGPT vs Human expert Comput. Educ. (IF 8.9) Pub Date : 2024-11-14 Angxuan Chen, Mengtong Xiang, Junyi Zhou, Jiyou Jia, Junjie Shang, Xinyu Li, Dragan Gašević, Yizhou Fan
Help-seeking is an active learning strategy tied to self-regulated learning (SRL), where learners seek assistance when facing challenges. They may seek help from teachers, peers, intelligent tu-tor systems, and more recently, generative artificial intelligence (AI). However, there is limited empirical research on how learners’ help-seeking process differs between generative AI and hu-man experts. To
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A meta-analysis on the effect of technology on the achievement of less advantaged students Comput. Educ. (IF 8.9) Pub Date : 2024-11-13 Giorgio Di Pietro, Jonatan Castaño Muñoz
This paper presents a meta-analysis that investigates the impact that the educational use of digital technologies has on less advantaged students’ achievement. We use a comprehensive definition for this group of students that includes all students in less developed countries as well as more disadvantaged students in more developed countries. 740 estimates from 72 studies employing experimental and
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Plugging in at school: Do schools nurture digital skills and narrow digital skills inequality? Comput. Educ. (IF 8.9) Pub Date : 2024-11-12 Renae Sze Ming Loh, Gerbert Kraaykamp, Margriet van Hek
Information and communication technology (ICT) have become indispensable in contemporary schools in post-industrialized countries. Whether schools have succeeded in vesting students with the needed digital skills important in today's highly digitalized societal landscape however remains unclear. In this paper, we examine whether school resources in terms of ICT infrastructure, use of ICT in education
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Personalization in educational gamification: Learners with different trait competitiveness benefit differently from rankings on leaderboards Comput. Educ. (IF 8.9) Pub Date : 2024-11-12 Jing Wang, Shaoying Gong, Yang Cao, Xiaorong Guo, Peiyan Peng
Leaderboards are among the most prevalent game elements and are widely used in educational gamification. However, most research has primarily compared learning scenarios using leaderboards with those not using leaderboards, ignoring the role of specific components of leaderboards such as rankings. Given that learners’ perceptions of leaderboards depend on their rankings, this study investigated how
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Reducing interpretative ambiguity in an educational environment with ChatGPT Comput. Educ. (IF 8.9) Pub Date : 2024-11-10 Francisco Garcia-Varela, Zvi Bekerman, Miguel Nussbaum, Marcelo Mendoza, Joaquin Montero
The study posits that both concrete and abstract words are crucial for effective communication, particularly in educational contexts where the interplay between these forms of language intersects with linguistic, cognitive, and social stratification theories. A key challenge is balancing the efficiency of abstract language in conveying complex concepts with the accessibility of concrete language, which
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“Storytelling and educational robotics: A scoping review (2004–2024)” Comput. Educ. (IF 8.9) Pub Date : 2024-11-05 Maria Palioura, Theodosios Sapounidis
Storytelling has been used for years in educational practice and Educational Robotics is a rapidly growing field worldwide. Accordingly, researchers have attempted to combine Storytelling and Robotics in education. However, no systematic record exists on this combination. Therefore, we conducted a scoping review of 82 papers out of 5272 articles published in 5 Databases in the last 20 years to map
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Advancing a Practical Inquiry Model with multi-perspective role-playing to foster critical thinking behavior in e-book reading Comput. Educ. (IF 8.9) Pub Date : 2024-11-05 Gloria Yi-Ming Kao, Hui-Chin Yeh, Shih-Wen Su, Xin-Zhi Chiang, Chuen-Tsai Sun
In the digital age, where media proliferation challenges traditional reading habits, this study investigated the impact of digital platforms on critical thinking (CT) and reading practices. Some conventional e-books may not sufficiently encourage reflective thinking or foster CT skills due to their linear nature and lack of engaging elements. Employing the Practical Inquiry Model (PIM) within the Community
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Development and techniques in learner model in adaptive e-learning system: A systematic review Comput. Educ. (IF 8.9) Pub Date : 2024-10-29 Xiyu Wang, Yukiko Maeda, Hua-Hua Chang
Adaptive e-learning systems (AeLS), which emerged in the late 1990s, offer an alternative to the 'one-size-fits-all' approach by addressing the demand for individualized learning experiences. These systems typically consist of five elements, including a domain model, a media space, an adaptation model, a user interface, and a learner model. Despite the increasing academic interest in this topic and
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Teachers’ computational thinking content knowledge: Development of a measurement instrument Comput. Educ. (IF 8.9) Pub Date : 2024-10-16 Sara Monteyne, Charlotte Struyve, Natacha Gesquière, Tom Neutens, Francis Wyffels, Johan van Braak, Koen Aesaert
Computational thinking has become an integral component of curricula worldwide, necessitating teachers to develop this competence in their students. To effectively meet these curricular requirements, teachers themselves need a solid foundation of computational thinking content knowledge, which refers to the understanding and skills they possess in this area. However, despite widespread recognition
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Co-researching with primary school students to retrace their digital footprint Comput. Educ. (IF 8.9) Pub Date : 2024-10-16 Rebecca Ng, M.C.S. Rivera, M. Cook, M.F. Mavilidi, S. Bennett
Young children are extensively datafied today even from before birth where families may share information about them or allow them to use digital technologies at a very young age. Schools typically collect children's data for compliance and to construct a set of norms and deviance in predicting risks and educational outcomes, often without children's knowledge and consent. Yet, children's understanding
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Innovative ongoing support within a multifaceted computational thinking professional learning program improves teachers’ self-efficacy and classroom practices Comput. Educ. (IF 8.9) Pub Date : 2024-10-05 Jiangmei Yuan, Carla B. Brigandi, Karen E. Rambo-Hernandez, Catherine L. Manley
In-service elementary school teachers need training to teach computational thinking (CT). A common model for CT professional learning programs includes an initial workshop followed by ongoing support. However, little research has examined the efficacy of ongoing support, the most effective types, and its impact on classroom practices. The current study details a multifaceted CT professional learning
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“Should you really chat while reading?” effects of on-screen multitasking and text disfluency on integrated understanding Comput. Educ. (IF 8.9) Pub Date : 2024-10-04 Lucia Mason, Barbara Carretti, Angelica Ronconi, Eleonora Pizzigallo, Ymkje E. Haverkamp, Ivar Bråten
Students' multitasking during lectures or academic assignments is a common activity that may have negative effects on performance. It is therefore relevant to investigate under what conditions such negative effects can be reduced. The current study brought together two separate lines of research to examine the effects of on-screen multitasking and text disfluency. Multitasking required students to
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Using multilayer network analysis to detect the collaborative knowledge construction characteristics among learner groups with low, medium, and high levels of cognitive engagement Comput. Educ. (IF 8.9) Pub Date : 2024-10-03 Fan Ouyang, Mian Wu, Jianmin Gu
Collaborative knowledge construction (CKC) is advanced by group members' cognitive engagement across three levels: individual-level knowledge processing and proposing, the peer-level social interactions and knowledge exchanges between two group members, and the group-level coordination and construction of knowledge across multiple group members. The interconnected and transformative relationship among
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Who says statistics classes are boring? How a virtual escape room enhances statistics learning Comput. Educ. (IF 8.9) Pub Date : 2024-09-30 Woon Chien Cecilia Teng, Gek Ling Claire Tan
Escape rooms (ERs) have gained traction in higher education over the past decade, but studies on ERs for statistics education are scant. In this study, a virtual ER was developed, piloted, and implemented in an undergraduate introductory statistics class, and its impact on learning was evaluated over three iterations. The escapED framework informed the design of the ER. A quasi-experimental pre-test–post-test
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The effectiveness of personalized technology-enhanced learning in higher education: A meta-analysis with association rule mining Comput. Educ. (IF 8.9) Pub Date : 2024-09-27 Danial Hooshyar, Xiaojing Weng, Paula Joanna Sillat, Kairit Tammets, Minhong Wang, Raija Hämäläinen
Personalized technology-enhanced learning (TEL) has emerged as a prominent tool used by universities to cater to students' diverse individual needs. Many higher education researchers and educators have explored the adoption of personalized TEL as an important tool to foster student learning outcomes from diverse perspectives. However, despite its significance and the substantial body of existing research
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A systematic review of technology-enabled teacher professional development during COVID -19 pandemic Comput. Educ. (IF 8.9) Pub Date : 2024-09-24 Lingyun Huang, Min Liang, Yuhan Xiong, Xiaomeng Wu, Cher Ping Lim
Technologies have the potential to support and enable teacher professional development (TPD) programs for inclusive and equitable quality education and lifelong learning for all (United Nations, 2023). This paper reviews the technology-enabled TPD programs that took place during the COVID-19 pandemic and investigated their effectiveness on teachers' learning and professional growth. Drawing on the
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Online peer feedback via Moodle forum: Implications for longitudinal feedback design and feedback quality Comput. Educ. (IF 8.9) Pub Date : 2024-09-24 Qin Xie, Chang Zhang
This study experimented with four design elements and examined their impact on feedback quality—anonymizing feedback writers, providing teacher-made rubrics and a feedback template, and making feedback traceable. The study adopted a quasi-experimental design and involved 75 undergraduates who produced 362 feedback entries on peers' presentations over eight weeks. The feedback comments were scored against
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Comparing human-made and AI-generated teaching videos: An experimental study on learning effects Comput. Educ. (IF 8.9) Pub Date : 2024-09-21 Torbjørn Netland, Oliver von Dzengelevski, Katalin Tesch, Daniel Kwasnitschka
In the age of generative AI, can teaching videos be efficiently and effectively generated by large language models? In this study, the authors used generative AI tools to develop four short teaching videos for a management course and then compared them with human-generated videos on the same subjects in an online experiment. In an across-subject experimental design, 447 participants completed two treatment
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Uncovering student profiles. An explainable cluster analysis approach to PISA 2022 Comput. Educ. (IF 8.9) Pub Date : 2024-09-20 Miguel Alvarez-Garcia, Mar Arenas-Parra, Raquel Ibar-Alonso
Educational data mining (EDM) applied to the wealth of data generated from international large-scale assessments (ILSAs) shows potential for identifying successful educational initiatives. Despite limited research on clustering methods in ILSAs, leveraging these methods to uncover student profiles can help decision-making in designing tailored programs. This study aims to identify and characterize
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Pedagogical agent design for K-12 education: A systematic review Comput. Educ. (IF 8.9) Pub Date : 2024-09-14 Shan Zhang, Chris Davis Jaldi, Noah L. Schroeder, Alexis A. López, Jessica R. Gladstone, Steffi Heidig
Pedagogical agents (PAs) are increasingly being integrated into educational technologies. Although previous reviews have examined the impact of PAs on learning and learning-related outcomes, it still remains unclear what specific design features, social cues, and other contextual elements of PA implementation can optimize the learning process. These questions are even more prevalent with regards to
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Understanding the effectiveness of automated feedback: Using process data to uncover the role of behavioral engagement Comput. Educ. (IF 8.9) Pub Date : 2024-09-12 Ronja Schiller, Johanna Fleckenstein, Ute Mertens, Andrea Horbach, Jennifer Meyer
In the last couple of years, feedback research has shifted towards a feedback-as-process approach, taking a learner-centered perspective and focusing on the proactive role of the learner in feedback effectiveness. Process measures can provide new insights into the role of the learner by making learners’ actual behavioral engagement visible. We conducted an experimental study, comparing two groups (feedback
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Analysis and discovery of procrastination patterns in a language learning MOOC Comput. Educ. (IF 8.9) Pub Date : 2024-09-12 Jorge A. Vázquez Mendoza, Cèsar Ferri Ramírez, Carlos Monserrat Aranda
Online learning has been gaining a broad notoriety in society in the last years. The ease with which users from all over the world can learn is one of its main attractions. MOOCs are one of these technologies, which have enabled users to learn almost any subject of their interest. The use of MOOCs generates a massive amount of data that has been used by researchers with different goals: to predict
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An examination of teachers’ views on video games and learning: Establishing the Games and Literacy Education (GALE) scale Comput. Educ. (IF 8.9) Pub Date : 2024-09-07 Sam von Gillern, Amanda Olsen, Brady Nash, Carolyn Stufft
Teachers' views impact if and how technologies are integrated into classroom practice, and research demonstrates that digital game-based learning can support student learning across content areas. Yet, quantitative examinations of teachers' views on digital game-based learning in literacy education are limited. This study establishes the Gaming and Literacy Education (GALE) Scale as a reliable and
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Facial animacy in anthropomorphised designs: Insights from leveraging self-report and facial expression analysis for multimedia learning Comput. Educ. (IF 8.9) Pub Date : 2024-09-05 Jeya Amantha Kumar
Anthropomorphism is the act of attributing human-like characteristics to non-human objects and has played a key role in the field of emotional design in multimedia learning. Despite its significance, the relationship between animacy and anthropomorphism, particularly facial animacy, remains underexplored albeit its potential impact on learning engagement and emotional responses. Hence, this study aims
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Investigating co-teaching presence and its impact on student engagement: A mixed-method study on the blended synchronous classroom Comput. Educ. (IF 8.9) Pub Date : 2024-09-04 Yujie Yan, Mingzhang Zuo, Heng Luo
Co-teaching, a partnership between professional peers with different expertise to jointly deliver instruction and divide teaching responsibility, is recognized as an effective teaching strategy that has been widely implemented. The increased use of information and communication technologies in educational practices may expand the opportunities for potentially beneficial teacher collaboration across
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Exploring interactive behaviours of urban and rural teachers in blended synchronous classrooms: Insights from a proposed interaction analysis framework Comput. Educ. (IF 8.9) Pub Date : 2024-08-31 Cuixin Li, Dan Sun, Jie Xu, Yifan Zhu, Yumei Huang, Wenjing Zheng, Xingzhong Tang, Yan Li
Blended synchronous classrooms (BSCs) play a critical role in narrowing the educational gap between urban and rural areas in China, promoting educational equity. In BSCs, the quantity and quality of interactive teaching behaviours of urban and rural teachers may significantly influence the learning experiences of students in both urban and rural settings, and they are supposed to be different from
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Conceptualisation of professional digital competence for school leaders in schools with 1:1 coverage of digital devices Comput. Educ. (IF 8.9) Pub Date : 2024-08-30 Cathrine E. Tømte
As societies are increasingly digitalised, digital competences are required—for citizens in general and within professions. In education, professional digital competence (PDC) for teachers has been on the research agenda for years. However, less is known about what constitutes PDC for school leaders. This paper adopts a qualitative approach to explore what constitutes school leaders' PDC. It builds
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Using multiple, dynamically linked representations to develop representational competency and conceptual understanding of the earthquake cycle Comput. Educ. (IF 8.9) Pub Date : 2024-08-28 Christopher Lore, Hee-Sun Lee, Amy Pallant, Jie Chao
Using computational methods to produce and interpret multiple scientific representations is now a common practice in many science disciplines. Research has shown students have difficulty in moving across, connecting, and sensemaking from multiple representations. There is a need to develop task-specific representational competencies for students to reason and conduct scientific investigations using
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Is anybody watching: A multi-factor motivational framework for educational video engagement Comput. Educ. (IF 8.9) Pub Date : 2024-08-25 Michael J. Parker, Matt Bunch, Andrew Pike
Videos are one of the most widely used teaching and learning modalities and form the backbone of many online courses. Therefore, understanding what influences video-watching behavior has been an area of intense interest to educators and course designers. Exploration of video engagement in online courses has focused primarily on factors intrinsic to each video, such as video length and production style
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Pedagogical agents communicating and scaffolding students' learning: High school teachers' and students' perspectives Comput. Educ. (IF 8.9) Pub Date : 2024-08-22 Pieta Sikström, Chiara Valentini, Anu Sivunen, Tommi Kärkkäinen
Pedagogical agents (PAs) communicate verbally and non-verbally with students in digital and virtual reality/augmented reality learning environments. PAs have been shown to be beneficial for learning, and generative artificial intelligence, such as large language models, can improve PAs' communication abilities significantly. K-12 education is underrepresented in learning technology research and teachers'
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Digital social support among educators in social media: An international comparative study of tweets and replies in #teachertwitter and #twlz Comput. Educ. (IF 8.9) Pub Date : 2024-08-08 Eric Richter, Jeffrey P. Carpenter, André Meyer, Dirk Richter
Asking questions on social media acts as a stimulus for professional learning among educators, while the answers can offer them valuable resources. Framed by the concept of digital social support and using a cross-cultural comparative approach, we investigate what type of digital social support educators seek when using educational social media spaces, and what they receive from other users who answer
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Designing an effective fact-checking education program: The complementary relationship between games and lectures in teaching media literacy Comput. Educ. (IF 8.9) Pub Date : 2024-08-03 Soeun Yang, Ji Soo Choi, Jae Woo Lee, Eun-mee Kim
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Understanding validity criteria in technology-enhanced learning: A systematic literature review Comput. Educ. (IF 8.9) Pub Date : 2024-07-30 Max van Haastrecht, Marcel Haas, Matthieu Brinkhuis, Marco Spruit
Technological aids are ubiquitous in today's educational environments. Whereas much of the dust has settled in the debate on how to validate traditional educational solutions, in the area of technology-enhanced learning (TEL) many questions still remain. Technologies often abstract away student behaviour by condensing actions into numbers, meaning teachers have to assess student data rather than observing
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Immersive procedural training in virtual reality: A systematic literature review Comput. Educ. (IF 8.9) Pub Date : 2024-07-26 Janine Jongbloed, Rawad Chaker, Elise Lavoué
Virtual reality (VR) head-mounted displays (HMDs) offer an immersive learning experience that could replicate real-life training. Our review identifies and critically analyses studies of interventions designed to provide procedural training via these media and to test learning outcomes associated with these interventions. We undertook a systematic search of the literature published between January
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How effective is immersive VR for vocational education? Analyzing knowledge gains and motivational effects Comput. Educ. (IF 8.9) Pub Date : 2024-07-26 Herbert Thomann, Jan Zimmermann, Viola Deutscher
While Immersive Virtual Reality (IVR) technology has been predominantly employed in technical and medical academic education, it also holds significant potential for Vocational Education and Training (VET). IVR's unique properties, such as high immersion could be especially beneficial in VET, where action-oriented skills, domain-specific knowledge, and their application in new work contexts are crucial
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Dynamic interplays between self-regulated learning and computational thinking in primary school students through animations and worksheets Comput. Educ. (IF 8.9) Pub Date : 2024-07-25 Siu-Cheung Kong, Yi-Qing Wang
Recent studies identify Self-Regulated Learning (SRL) as a key factor in enhancing cognitive development, particularly within Computational Thinking (CT) literature. However, research gaps remain in understanding how SRL and CT interact from a developmental perspective. Our study designed a program with tailored animations and worksheets to specifically foster students' learning and cognitive development
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Fostering ecosystem understanding: The synergistic impact of inquiry-based instruction and information literacy Comput. Educ. (IF 8.9) Pub Date : 2024-07-20 Jia-Hong Lin, Shu Ching Yang, Jia-Ying Lin
In the field of environmental education, it is crucial to obtain a profound understanding of students' learning about ecosystem concepts, particularly with regard to the intricate processes of material cycling. Material cycling involves the movement and transformation of elements and compounds within ecosystems and serves as a cornerstone for effective instructional techniques aimed at improving learning
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Training pre-service teachers to deal with cyberbullying: Collective intelligence as a mode of learning Comput. Educ. (IF 8.9) Pub Date : 2024-07-18 Pablo Bautista Alcaine, Eva Vicente Sánchez, Santos Orejudo Hernández, Jacobo Cano Escoriaza
Collective intelligence is a theoretical construct that focuses on results stemming from a workgroup dealing with complex tasks. Our goal was to determine whether a group of pre-service teachers presented with a case of adolescent cyberbullying could improve their capacity for action. The experiment was carried out with 221 pre-service teachers at the University of Zaragoza, Spain, and using Collective
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They believe students can fly: A scoping review on the utilization of drones in educational settings Comput. Educ. (IF 8.9) Pub Date : 2024-07-16 Michael Yi-Chao Jiang, Morris Siu-Yung Jong, Ching Sing Chai, Biyun Huang, Gaowei Chen, Chung-Kwan Lo, Frankie Kwan-Kit Wong
In the past decade, drones have become another cutting-edge technology for educators, especially those in STEM-related domains. Accordingly, there is a significant need to thoroughly examine how drones are integrated into current pedagogical practices. This study scopes the domain of drone-based learning based on a collection of forty-eight articles identified via systematic searches across the (WoS)
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From experience to empathy: An empathetic VR-based learning approach to improving EFL learners’ empathy and writing performance Comput. Educ. (IF 8.9) Pub Date : 2024-07-14 Jue-Qi Guan, Shu-Fan Ying, Min-Li Zhang, Gwo-Jen Hwang
English as a foreign language (EFL) writing is vital in interpersonal and cross-cultural communication. Writing refers to a complicated, dispersed, dialogic, and mediated process of discovery and creation, generally considered to be one of the most challenging skills for EFL learners. Nowadays, some students struggle to create words that resonate with readers since they lack real-life experience and
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Bridging computer and education sciences: A systematic review of automated emotion recognition in online learning environments Comput. Educ. (IF 8.9) Pub Date : 2024-07-11 Shuzhen Yu, Alexey Androsov, Hanbing Yan, Yi Chen
Emotions play an important role in the learning process. With intelligent technology support, identification and intervention of learners’ cognition have made great achievement, but the care of emotion has been in the absence for a long time. In recent years, the use of affective computing technology to solve affective loss in online education has become a key research topic. To date, a growing number
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Improving elementary EFL speaking skills with generative AI chatbots: Exploring individual and paired interactions Comput. Educ. (IF 8.9) Pub Date : 2024-07-09 Tzu-Yu Tai, Howard Hao-Jan Chen
Generative artificial intelligence (GAI) and automatic speech recognition (ASR) have ushered in promising tools for foreign language learning, notably GAI chatbots. This study investigated the impact of GAI chatbots on elementary school English as a foreign language (EFL) learners' speaking skills, focusing on two interaction configurations—individual and paired. Eighty-five elementary school EFL learners
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Investigating behavioral and cognitive patterns among high-performers and low-performers in Co-viewing video lectures Comput. Educ. (IF 8.9) Pub Date : 2024-07-03 Zhongling Pi, Yuan Yang, Xin Zhao, Qiuyi Guo, Xiying Li
Co-viewing video lectures, where students watch lectures simultaneously with one or more remote peers and engage in interpersonal communication on learning tasks online, is becoming increasingly popular. However, there is a dearth of studies examining students' behavioral and cognitive patterns during the co-viewing process. This study employed eye-tracking and screen recording methods to examine undergraduate
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Profiling students’ learning engagement in MOOC discussions to identify learning achievement: An automated configurational approach Comput. Educ. (IF 8.9) Pub Date : 2024-07-02 Zhi Liu, Qianhui Tang, Fan Ouyang, Taotao Long, Sannyuya Liu
In the Massive Online Open Course (MOOC) forum, learning engagement encompasses three fundamental dimensions—cognitive, emotional, and behavioral engagement—that intricately interact to jointly influence students' learning achievements. However, the interplay between multiple engagement dimensions and their correlations with learning achievement remain understudied, particularly across different academic
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Feasibility of adaptive teaching with technology: Which implementation conditions matter? Comput. Educ. (IF 8.9) Pub Date : 2024-07-02 Leonie Sibley, Andreas Lachner, Christine Plicht, Armin Fabian, Iris Backfisch, Katharina Scheiter, Thorsten Bohl
Adaptive teaching is regarded to address students' heterogeneity in schools and to individually support their learning. Technology may help to teach adaptively. However, it is still unclear whether realizing adaptive teaching with technology is a feasible teaching practice in real-world classrooms. More importantly, it is an open question which boundary conditions constrain the feasibility of adaptive
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The smell of paper or the shine of a screen? Students’ reading comprehension, text processing, and attitudes when reading on paper and screen Comput. Educ. (IF 8.9) Pub Date : 2024-07-01 Ragnhild Engdal Jensen, Astrid Roe, Marte Blikstad-Balas
With the increasing prevalence of digital devices such as smartphones, tablets and e-readers, more and more reading is happening in digital formats – also in classrooms across the world. The present study focuses on lower secondary school students and their reading comprehension and attitudes toward reading on paper and screens. The students read a selection of texts and answered questions from the
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Collaborative activities in hybrid learning environments: Exploring teacher orchestration load and students’ perceptions Comput. Educ. (IF 8.9) Pub Date : 2024-06-14 Alejandro Ortega-Arranz, Ishari Amarasinghe, Alejandra Martínez-Monés, Juan I. Asensio-Pérez, Yannis Dimitriadis, Mario Corrales-Astorgano, Davinia Hernández-Leo
The recent Covid-19 pandemic made universities rethink their traditional educational models, shifting, in some cases, to pure online or hybrid models. Hybrid settings usually involve onsite (, in the classroom) and online (, in a different classroom, at home) students simultaneously under the instruction of the same teacher. However, while these models provide more flexibility to students, hybridity
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Facilitating self-directed language learning in real-life scene description tasks with automated evaluation Comput. Educ. (IF 8.9) Pub Date : 2024-06-13 Ruibin Zhao, Yipeng Zhuang, ZhiWei Xie, Philip L.H. Yu
Engaging children in describing real-life scenes provides an effective approach to fostering language production and developing their language skills, enabling them to establish meaningful connections between their language proficiency and authentic contexts. However, for such learning tasks, there has been a lack of research focusing on promoting self-directed language learning by using artificial
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The moderating effects of total comments on the relationship between comment implementation and online peer-supported writing performance Comput. Educ. (IF 8.9) Pub Date : 2024-06-11 Galina Shulgina, Mik Fanguy, Han Zhang, Matthew Courtney, Matthew Baldwin, Jamie Costley
Prior research has suggested that participation in peer feedback activities, specifically the giving and receiving of comments, and the implementation of suggested ideas helps to improve writing quality. However, it is not always the case that received feedback is implemented. Currently, there is uncertainty regarding how the total number of comments received during a peer feedback activity interacts
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Towards teaching strategies addressing online learning in blended learning courses for adult-learners Comput. Educ. (IF 8.9) Pub Date : 2024-06-08 Nanda van der Stap, Theo van den Bogaart, Stan van Ginkel, Ebrahim Rahimi, Johan Versendaal
Blended learning offers a learner-centred approach that employs both in-class learning and digital technology to facilitate online learning. Such an approach is especially advantageous to adult-learners in higher education as it meets their educational needs. However, adult-learners’ participation in blended learning programmes remains challenging due to a general lack of online interaction, and no
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The influence of ChatGPT on student engagement: A systematic review and future research agenda Comput. Educ. (IF 8.9) Pub Date : 2024-06-08 Chung Kwan Lo, Khe Foon Hew, Morris Siu-yung Jong
ChatGPT, a state-of-the-art artificial intelligence (AI) chatbot, has gained considerable attention as a transformative yet controversial tool for enhancing teaching and learning experiences. Several reviews and numerous articles have been written about harnessing ChatGPT in education since its release on November 30, 2022. Besides summarising its strengths, weaknesses, opportunities, and threats (SWOT)