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Sun Kyung Kim; Youngho Lee; Hye Ri Hwang; Oe Nam Kim – Journal of Computer Assisted Learning, 2025
Background: Comprehensive assessment of skills and performance are necessary to improve the quality of care in nursing education. Various factors pose challenges to accurate assessments, including high student-teacher ratio and observer bias. Objectives: To establish an assessment system based on first-person video of smart glasses and validate…
Descriptors: Handheld Devices, Technology, Video Technology, Evaluation Methods
Sivakorn Malakul – Journal of Computer Assisted Learning, 2025
Background: Artificial intelligence (AI) tools have been increasingly utilised in the production of educational media, including animated educational videos (AEVs) incorporating pedagogical agents (PAs). These tools support the efficient creation of multimedia content and reduce teachers' technical workload. Objectives: This study investigates the…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Teacher Attitudes
Adi Perry-Kates; Anat Cohen – Journal of Computer Assisted Learning, 2025
Background: In light of the growing need to understand interactive learning effectivity and especially post-COVID 19 pandemic constraints, the key question is how to develop interactive videos in order to get the most effective results. Objectives: This research aims to explore the pedagogical benefits of interactive video with branching…
Descriptors: Video Technology, Interaction, Instructional Effectiveness, Teaching Methods
Zhongling Pi; Xuran Li; Mengjie Tong; Xin Zhao; Jiayu Wang; Xiying Li; Xiangchao Guo – Journal of Computer Assisted Learning, 2025
Background: Instructors' facial expressions in instructional videos can greatly influence how learners perceive their emotions, thereby affecting students' attention to the learning content and their overall performance. While the short-term effects of instructors' specific facial expressions in instructional videos have been well documented, less…
Descriptors: Video Technology, Technology Uses in Education, Teacher Behavior, Nonverbal Communication
Juan M. Pieschacon; Ross T. Smith; Andrew Cunningham; Ellen O'Callaghan; Daniel Harvie – Journal of Computer Assisted Learning, 2025
Background: Physiotherapy education traditionally relies on face-to-face instruction for teaching complex manual therapy techniques. Current remote teaching methods struggle to convey spatial aspects of physical techniques, limiting their effectiveness for practical skills training. Few examples were found of immersive training systems for…
Descriptors: Spatial Ability, Visualization, Physical Therapy, Training
Zeng-Wei Hong; Che-Lun Liang; Ming-Chi Liu – Journal of Computer Assisted Learning, 2025
Background: Online video-based learning often leads to fatigue, which detracts from engagement and learning outcomes. Previous studies have examined monitoring mental states like attention through electroencephalography (EEG) headsets, but limitations such as high costs, discomfort, and limited scalability persist. Objectives: This study evaluates…
Descriptors: Technology Uses in Education, Electronic Learning, Video Technology, Fatigue (Biology)
Ranieri, Maria; Luzzi, Damiana; Cuomo, Stefano; Bruni, Isabella – Journal of Computer Assisted Learning, 2022
Background: Over recent years, interest towards the use of immersive technologies has grown in parallel with the lowering of equipment costs: educators have started embedding them into their teaching practices at different levels of the educational system, from primary school to higher education. In general, immersive technologies are seen as…
Descriptors: Educational Technology, Video Technology, Technology Uses in Education, Transfer of Training
Chen, Xiuyu; Feng, Shihui – Journal of Computer Assisted Learning, 2023
Background: Video-based learning (VBL) is the learning process of acquiring defined knowledge, competence, and skills with the systematic use of video resources. Currently, the relationship between teaching presence and social presence in VBL is underexamined. Objectives: This study examined the relationships between social presence and teaching…
Descriptors: Teacher Student Relationship, Social Behavior, Electronic Learning, Video Technology
Meina Zhu – Journal of Computer Assisted Learning, 2025
Background: Computer programming learning and education play a critical role in preparing a workforce equipped with the necessary skills for diverse fields. ChatGPT and YouTube are technologies that support self-directed programming learning. Objectives: This study aims to examine the sentiments and primary topics discussed in YouTube comments…
Descriptors: Computer Science Education, Programming, Social Media, Video Technology
Sule Biyik Bayram; Gamze Özener; Nilay Çakici; Handan Eren; Sinan Aydogan; Deniz Öztürk; Emel Gülnar; Nurcan Çaliskan – Journal of Computer Assisted Learning, 2024
Background: There are deficiencies in ensuring the permanence of some theoretical information taught in nursing education and transferring it to practice environment. Mobile-assisted teaching can be useful to eliminate deficiencies. The aim of this study was to determine the effect of mobile-assisted teaching on nursing students' learning…
Descriptors: Foreign Countries, Nursing Students, Human Body, Electronic Learning
Gwo-Jen Hwang; Jalil Fathi; Masoud Rahimi – Journal of Computer Assisted Learning, 2025
Background: The utilisation of video-dubbing tasks, wherein learners record their voices over video clips to practise pronunciation, fluency, grammatical accuracy, and vocabulary use, is relatively novel in the English language learning context. Exploring the effectiveness of video-dubbing tasks can lead to more innovative and effective speaking…
Descriptors: English (Second Language), Second Language Learning, Speech Skills, Cognitive Processes
Faruk Arici; Rabia Meryem Yilmaz – Journal of Computer Assisted Learning, 2025
Background: Inquiry-based learning (IbL) has significantly contributed to science education, and this impact can be enhanced with technology. Augmented Reality (AR) offers 3D visualisation and interactive experiences, whereas Video-based Learning (VbL) provides narratives with visual and audio support. Both methods aid students in exploring,…
Descriptors: Simulated Environment, Computer Simulation, Video Technology, Inquiry
Dongkwang Shin; Suh Keong Kwon; Wonjun Izac Noh; Yohan Hwang – Journal of Computer Assisted Learning, 2025
Background: This study examines the evolution of English speaking proficiency test methods, which have traditionally relied on face-to-face interactions to assess communicative language competence. Recently, computer-based language tests have also been used on a larger scale, albeit with concerns about their impact on measurement. Objectives: This…
Descriptors: Computer Simulation, Technology Uses in Education, English (Second Language), Second Language Learning
Valentina Nachtigall; Selina Yek; Nikol Rummel – Journal of Computer Assisted Learning, 2024
Background: With the increasing availability of immersive technologies such as 360° videos for educational purposes, research needs to shift from media comparison studies to value-added studies in order to identify conditions for effective learning with such technologies. For the educational use of history-related virtual reality media, which are…
Descriptors: Computer Simulation, Video Technology, Technology Uses in Education, Educational Technology
Kure, Astrid Elisabeth; Brevik, Lisbeth M.; Blikstad-Balas, Marte – Journal of Computer Assisted Learning, 2023
Background: Globally, digital skills are a crucial aspect of education that schools should develop systematically. Research on digital skills tends to be measured using self-reports, performance tests or interventions. There is less knowledge about student and teacher uptake of technology in school, making it important to investigate the actual…
Descriptors: Technological Literacy, Technology Uses in Education, Secondary School Students, English (Second Language)

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