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Chengliang Wang; Xiaojiao Chen; Zhebing Hu; Sheng Jin; Xiaoqing Gu – Journal of Computer Assisted Learning, 2025
Background: ChatGPT, as a cutting-edge technology in education, is set to significantly transform the educational landscape, raising concerns about technological ethics and educational equity. Existing studies have not fully explored learners' intentions to adopt artificial intelligence generated content (AIGC) technology, highlighting the need…
Descriptors: College Students, Student Attitudes, Computer Attitudes, Computer Uses in Education
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Hyojoon Kim; Jinwoong Song; Sangwoo Ha – Journal of Computer Assisted Learning, 2024
Background: TPACK is a widely used framework for assessing teachers' competence in integrating technology in education. However, previous studies have shown varying interpretations of the relationship between TPACK elements. Qualitative studies that assess the manifestations of TPACK by examining the practices of pre-service teachers are rare.…
Descriptors: Foreign Countries, Pedagogical Content Knowledge, Technological Literacy, Preservice Teachers
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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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Katherine Frances McLay; Vicente Chua Reyes Jr. – Journal of Computer Assisted Learning, 2024
Background: This research was motivated by noticing shortcomings in the TPACK framework, which does not take account of the affective dimension (e.g., emotions, moods, attitudes and values) of teaching and learning with and about technology, despite this being a key predictor of whether teachers incorporate technology into teaching and learning.…
Descriptors: Pedagogical Content Knowledge, Technological Literacy, 21st Century Skills, Technology Uses in Education
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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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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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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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Kim, Min Kyu; McCarthy, Kathryn S. – Journal of Computer Assisted Learning, 2021
Summary writing is a useful instructional tool for learning. However, summary writing is a challenge to many students. This mixed-method study examined the potential of the Student Mental Model Analyzer for Research and Teaching (SMART) system to help students produce summaries that reflect key concepts and relations in a text. SMART uses the…
Descriptors: Writing Improvement, Formative Evaluation, Technology Integration, Schemata (Cognition)
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Heo, Heeok; Bonk, Curtis J.; Doo, Min Young – Journal of Computer Assisted Learning, 2021
Background: Due to the global COVID-19 pandemic, online learning became the only way to learn during this unprecedented crisis. This study began with a simple but vital question: What factors influenced the success of online learning during the COVID-19 pandemic with a focus on online learning self-efficacy? Objectives: The purpose of this study…
Descriptors: Learner Engagement, Technology Integration, Technological Literacy, Self Efficacy
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Rustam Shadiev; Yingying Feng; Roza Zhussupova; Yueh-Min Huang – Journal of Computer Assisted Learning, 2024
Background: Tele-collaborative projects serve as invaluable platforms for students from diverse countries to engage in cross-cultural communication and exchange cultural knowledge. These projects offer immense benefits in terms of fostering intercultural competence among participants. However, one challenge arises when participants engage in…
Descriptors: Telecommunications, Feedback (Response), Assistive Technology, Verbal Communication
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Valtonen, Teemu; Kukkonen, Jari; Kontkanen, Sini; Mäkitalo-Siegl, Kati; Sointu, Erkko – Journal of Computer Assisted Learning, 2018
The aim of this paper is to provide insights into differences between pre-service teachers based on the areas of technological pedagogical content knowledge (TPACK) and the areas of theory of planned behaviour (TPB) in the context of using information and communication technology in education. The target group consisted of 267 first-year…
Descriptors: Preservice Teachers, Technological Literacy, Technology Integration, Educational Technology
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Janssen, N.; Lazonder, A. W. – Journal of Computer Assisted Learning, 2016
The present study compared the effectiveness of two types of just-in-time support for lesson planning. Both types contained the same technological information but differed regarding pedagogical and content information. The first type presented this information separately (i.e., separate support); the second type presented this information in an…
Descriptors: Preservice Teachers, Lesson Plans, Instructional Design, Technology Integration
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Pursel, B. K.; Zhang, L.; Jablokow, K. W.; Choi, G. W.; Velegol, D. – Journal of Computer Assisted Learning, 2016
Massive open online courses (MOOCs) continue to appear across the higher education landscape, originating from many institutions in the USA and around the world. MOOCs typically have low completion rates, at least when compared with traditional courses, as this course delivery model is very different from traditional, fee-based models, such as…
Descriptors: Online Courses, Graduation Rate, Delivery Systems, Models
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Wang, Y.-H. – Journal of Computer Assisted Learning, 2017
This study aimed to explore whether integrating augmented reality (AR) techniques could support a software editing course and to examine the different learning effects for students using online-based and AR-based blended learning strategies. The researcher adopted a comparative research approach with a total of 103 college students participating…
Descriptors: College Students, Computer Software, Computer System Design, Blended Learning
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