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Showing 1 to 15 of 51 results Save | Export
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Xiaoqing Xu; Lifang Qiao; Nuo Cheng; Hongxia Liu; Wei Zhao – British Journal of Educational Technology, 2025
The rapid development of generative artificial intelligence (GenAI) has brought opportunities and new challenges to higher education. Students need a high level of self-regulated learning to adapt to this change. However, it is difficult for students to persist in self-regulation without guidance. Metacognitive support has a significant advantage…
Descriptors: Independent Study, Learning Experience, Artificial Intelligence, Technology Uses in Education
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Marta Sobocinski; Daryn Dever; Megan Wiedbusch; Foysal Mubarak; Roger Azevedo; Sanna Järvelä – British Journal of Educational Technology, 2024
This study examines the embodied ways in which learners monitor their cognition while learning about exponential functions in an immersive virtual reality (VR) based game, "Pandemic" by Prisms of Reality. Traditionally, metacognitive monitoring has been assessed through behavioural traces and verbalised instances. When learning in VR,…
Descriptors: Computer Simulation, Educational Games, Video Games, Metacognition
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Qingchuan Li; Yan Luximon; Jiaxin Zhang; Yao Song – British Journal of Educational Technology, 2024
Although the utilization of mobile technologies has recently emerged in various educational settings, limited research has focused on cognitive load detection in the pen-based learning process. This research conducted two experimental studies to investigate what and how multimodal data can be used to measure and classify learners' real-time…
Descriptors: Cognitive Processes, Difficulty Level, Electronic Learning, Handwriting
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Lahza, Hatim; Smith, Tammy G.; Khosravi, Hassan – British Journal of Educational Technology, 2023
Traditional item analyses such as classical test theory (CTT) use exam-taker responses to assessment items to approximate their difficulty and discrimination. The increased adoption by educational institutions of electronic assessment platforms (EAPs) provides new avenues for assessment analytics by capturing detailed logs of an exam-taker's…
Descriptors: Medical Students, Evaluation, Computer Assisted Testing, Time Factors (Learning)
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Leisi Pei; Morris Siu-Yung Jong; Junjie Shang; Guang Ouyang – British Journal of Educational Technology, 2025
Cognitive load is a critical internal state associated with learners' learning process and significantly influences learning outcomes. With the worldwide popularity of video-based learning (VBL), tracking real-time cognitive load variations becomes more and more important for the timely provision of adaptive learning support during the learning…
Descriptors: Diagnostic Tests, Brain, Cognitive Processes, Difficulty Level
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Jeongwon Lee; Dongho Kim – British Journal of Educational Technology, 2025
Despite the rapid growth of video-based learning in higher education, students face challenges in sustaining their full attention on video lectures. While gamification has been used to engage students, there have been few attempts to gamify in-video learning. The study aimed to create a gamified instructional video and examine the effects on…
Descriptors: Higher Education, Gamification, Video Technology, Technology Uses in Education
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Giulia Cosentino; Jacqueline Anton; Kshitij Sharma; Mirko Gelsomini; Michail Giannakos; Dor Abrahamson – British Journal of Educational Technology, 2025
This study explores the role of generative AI (GenAI) in providing formative feedback in children's digital learning experiences, specifically in the context of mathematics education. Using multimodal data, the research compares AI-generated feedback with feedback from human instructors, focusing on its impact on children's learning outcomes.…
Descriptors: Artificial Intelligence, Technology Uses in Education, Feedback (Response), Mathematics Education
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Chia-Jung Li; Gwo-Jen Hwang; Ching-Yi Chang; Hui-Chi Su – British Journal of Educational Technology, 2025
In professional training, developing critical thinking is essential for professionals to analyse problem situations and respond effectively to emergencies. Conventional professional training typically employs multimedia materials combined with progressive prompting (PP) to support trainees in constructing knowledge and solving problems on their…
Descriptors: Artificial Intelligence, Technology Uses in Education, Prompting, Academic Achievement
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Caskurlu, Secil; Richardson, Jennifer C.; Alamri, Hamdan A.; Chartier, Katherine; Farmer, Tadd; Janakiraman, Shamila; Strait, Marquetta; Yang, Mohan – British Journal of Educational Technology, 2021
This multiple case study investigates instructional designers' perceptions of online course quality, their use of cognitive load strategies when designing online courses, and whether utilization of these strategies contribute to online course quality. The participants of this study were instructional designers (n = 5) who worked in various campus…
Descriptors: Instructional Design, Educational Quality, Cognitive Processes, Difficulty Level
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Conrad, Colin; Deng, Qi; Caron, Isabelle; Shkurska, Oksana; Skerrett, Paulette; Sundararajan, Binod – British Journal of Educational Technology, 2022
The COVID-19 pandemic has posed a significant challenge to higher education and forced academic institutions across the globe to abruptly shift to remote teaching. Because of the emergent transition, higher education institutions continuously face difficulties in creating satisfactory online learning experiences that adhere to the new norms. This…
Descriptors: Student Attitudes, Electronic Learning, Student Satisfaction, Difficulty Level
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Yongluan Ye; Regina Kaplan-Rakowski – British Journal of Educational Technology, 2024
Holding learners' attention is challenging, especially when they are asked to listen to long passages. High-immersion virtual reality (VR) can immerse learners in listening tasks, even in such complex languages as Chinese. This exploratory study examined the effect of VR on 43 Chinese language learners' listening comprehension, enjoyment, sense of…
Descriptors: Computer Simulation, Chinese, Second Language Learning, Technology Uses in Education
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Jingjing Ma; Qingtang Liu; Shufan Yu; Jindian Liu; Xiaojuan Li; Chunhua Wang – British Journal of Educational Technology, 2025
This research employs the fuzzy-set qualitative comparative analysis (fsQCA) method to investigate the configurations of multiple factors influencing scientific concept learning, including augmented reality (AR) technology, the concept map (CM) strategy and individual differences (eg, prior knowledge, experience and attitudes). A quasi-experiment…
Descriptors: Science Education, Scientific Concepts, Comparative Analysis, Qualitative Research
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Michaela Arztmann; Jessica Lizeth Domínguez Alfaro; Lisette Hornstra; Jacqueline Wong; Johan Jeuring; Liesbeth Kester – British Journal of Educational Technology, 2025
A distinct feature of educational games using augmented reality (AR) is that the game is played through physically interacting with the environment, whereas physical interaction is typically rather limited in other digital games. Understanding and performing the interactive game mechanics can be cognitively demanding. Adding pre-training could…
Descriptors: Computer Simulation, Artificial Intelligence, Training, Cognitive Processes
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Huang, Yizhen; Richter, Eric; Kleickmann, Thilo; Richter, Dirk – British Journal of Educational Technology, 2023
Video is a widely used medium in teacher training for situating student teachers in classroom scenarios. Although the emerging technology of virtual reality (VR) provides similar, and arguably more powerful, capabilities for immersing teachers in lifelike situations, its benefits and risks relative to video formats have received little attention…
Descriptors: Video Technology, Computer Simulation, Self Efficacy, Classroom Techniques
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Anna Y. Q. Huang; Cheng-Yan Lin; Sheng-Yi Su; Stephen J. H. Yang – British Journal of Educational Technology, 2025
Programming education often imposes a high cognitive burden on novice programmers, requiring them to master syntax, logic, and problem-solving while simultaneously managing debugging tasks. Prior knowledge is a critical factor influencing programming learning performance. A lack of foundational knowledge limits students' self-regulated learning…
Descriptors: Artificial Intelligence, Technology Uses in Education, Coding, Programming
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