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Showing 16 to 30 of 117 results Save | Export
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Liron Levy-Nadav; Tamar Shamir-Inbal; Ina Blau – Journal of Computer Assisted Learning, 2025
Background: The rapid rise of Generative Artificial Intelligence (GenAI) is transforming education. At this stage, there is not yet a well-established and tested theoretical framework clarifying which competencies learners must possess to use GenAI effectively and safely. This study draws on three theoretical frameworks: Eshet-Alkalai's Digital…
Descriptors: Digital Literacy, Competence, Artificial Intelligence, Technology Uses in Education
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Shimaya, Jiro; Yoshikawa, Yuichiro; Ogawa, Kohei; Ishiguro, Hiroshi – Journal of Computer Assisted Learning, 2021
Encouraging students to actively ask questions during lectures is a formidable challenge that can be addressed through innovative use of information technology. We developed a robotic system that allows students in a lecture to collaboratively decide questions to be asked by a humanoid robot. To verify whether the system reduces hesitation to ask…
Descriptors: Robotics, Technology Integration, Questioning Techniques, Synchronous Communication
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Yurtseven Avci, Zeynep; O'Dwyer, Laura M.; Lawson, Jordan – Journal of Computer Assisted Learning, 2020
This study aims to explore the critical factors for effective professional development (PD) activities to support teachers' technology integration and suggests a design model: flipped PD. The following questions are investigated: What are the core features of effective teacher PD, what are the implications of core features in effective technology…
Descriptors: Professional Development, Technology Integration, Blended Learning, Best Practices
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Qianwen Tang; Wenbo Deng; Yidan Huang; Shuaijie Wang; Hao Zhang – Journal of Computer Assisted Learning, 2025
Background: Generative Artificial Intelligence (AI) shows promise in enhancing personalised learning and improving educational efficiency. However, its integration into education raises concerns about misinformation and over-reliance, particularly among adolescents. Teacher supervision plays a critical role in mitigating these risks and ensuring…
Descriptors: Artificial Intelligence, Teaching Methods, Educational Quality, Technology Integration
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Yu-Shan Chang – Journal of Computer Assisted Learning, 2025
Background: Due to the rapid development of artificial intelligence (AI) and the widespread adoption of online learning post-COVID-19, the metaverse has become an important strategy for innovative teaching. Objectives: This study aimed to investigate the impact of the metaverse on learning engagement, learning emotions, and creative performance in…
Descriptors: Learner Engagement, Psychological Patterns, Emotional Response, Artificial Intelligence
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Nikimaleki, Mitra; Rahimi, Mehrak – Journal of Computer Assisted Learning, 2022
Background: The unimaginable power of emerging technologies has transformed education in terms of content creation and instructional design. Due to high value of AR/VR in education, teachers of the 21st century are expected to empower themselves professionally to be able to utilize these technologies in their instructional practices. Despite…
Descriptors: Cooperative Learning, Computer Simulation, Educational Environment, Technology Integration
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Pham, Son T. H.; Sampson, Pauline M. – Journal of Computer Assisted Learning, 2022
Background: In fact, most schools around the world are not well equipped to have discussions and keep current on the expansion of artificial intelligence (AI) in many aspects of society and economy. They either ignore this conversation, or simply criticize technology, but these resistances are not stopping wide spread of various types of AI…
Descriptors: Artificial Intelligence, Preservice Teacher Education, Educational Change, Technology Integration
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Liru Hu; Gaowei Chen; Jiajun Wu – Journal of Computer Assisted Learning, 2024
Background: The existing research on dialogue-based learning and teaching predominantly highlights its capacity to yield productive educational outcomes, yet it often overlooks the pivotal factor of participation equity, which is fundamental to ensuring the efficacy of dialogic teaching and learning. Objectives: In this study, participation equity…
Descriptors: Problem Solving, Participation, Equal Education, Student Participation
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Shamir-Inbal, Tamar; Blau, Ina – Journal of Computer Assisted Learning, 2021
Collaborative learning is perceived as an important component of Information Communication Technologies (ICT) integration in schools. The purpose of this study was to examine an initiative of the Ministry of Education that promoted intra-school and inter-school digital collaborative learning projects. The participants were 159 district ICT…
Descriptors: Educational Change, Cooperative Learning, Electronic Learning, Sustainability
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Ahnaf Chowdhury Niloy; Salma Akter; Nayeema Sultana; Jakia Sultana; Sayed Imran Ur Rahman – Journal of Computer Assisted Learning, 2024
Background: The increasing prevalence of Artificial Intelligence (AI) language models, exemplified by ChatGPT, has sparked inquiries into their influence on creative writing skills in educational contexts. This study aims to quantitatively investigate whether ChatGPT's use negatively affects university students' creative writing abilities,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Creative Writing, Writing Ability
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ElSayary, Areej – Journal of Computer Assisted Learning, 2023
Background: The emergence of remote teaching during the Coronavirus (COVID-19) pandemic caused several gaps due to teachers being unprepared to teach online. Teachers did not achieve many digital competencies, resulting in an inability to facilitate the students' learning by using technology creatively to overcome challenges. Accordingly,…
Descriptors: Skill Development, Job Training, Faculty Development, Teacher Competencies
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Ranellucci, John; Rosenberg, Joshua M.; Poitras, Eric G. – Journal of Computer Assisted Learning, 2020
Understanding how prepared teachers are to use technology to enhance their teaching can assist researchers to support them better, yet the theoretical basis for understanding teachers' self-beliefs is in need of stronger empirical support. The first objective of this study was to replicate and extend prior research that empirically tested portions…
Descriptors: Preservice Teachers, Technology Uses in Education, Computer Attitudes, Adoption (Ideas)
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Kassab, Mohamad; DeFranco, Joanna; Laplante, Phillip – Journal of Computer Assisted Learning, 2020
With close to 20.4 billion devices connected to the Internet to be deployed by 2020, Internet of things (IoT) is already being leveraged in diverse sectors. Now, because of the ubiquitous nature of IoT devices, schools and academic institutions are looking to incorporate IoT in educational activities. With the increased use of IoT in the education…
Descriptors: Internet, Teaching Methods, Decision Making, Technology Uses in Education
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Liu, Caihua; Zowghi, Didar; Kearney, Matthew; Bano, Muneera – Journal of Computer Assisted Learning, 2021
Recent years have seen a growing call for inquiry-based learning in science education, and mobile technologies are perceived as increasingly valuable tools to support this approach. However, there is a lack of understanding of mobile technology-supported inquiry-based learning (mIBL) in secondary science education. More evidence-based, nuanced…
Descriptors: Active Learning, Inquiry, Electronic Learning, Technology Integration
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Ali Alqarni – Journal of Computer Assisted Learning, 2025
Background: Critical thinking is essential in modern education, and artificial intelligence (AI) offers new possibilities for enhancing it. However, the lack of validated tools to assess teachers' AI-integrated pedagogical skills remains a challenge. Objectives: The current study aimed to develop and validate the Artificial Intelligence-Critical…
Descriptors: Artificial Intelligence, Technology Uses in Education, Test Construction, Test Validity
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