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Ziyun Zhang; Ruixi Yang – Journal of Computer Assisted Learning, 2025
Key Findings: This study identifies a strong positive relationship between digital literacy and language proficiency, highlighting how technological competence enhances motivation, engagement and PL, leading to improved language learning outcomes. Purpose: This research explores the connection between digital literacy and language proficiency,…
Descriptors: College Students, Individualized Instruction, Technology Uses in Education, Digital Literacy
Temesgen Samuel; Hsiu-Ling Chen; Abebayehu Yohannes – Journal of Computer Assisted Learning, 2025
Background: As highly interactive hands-on learning tools, robots can inspire new generations of mathematics students. However, to date, no comprehensive systematic reviews have been conducted on robot-assisted mathematics education from K-12 through higher education. Hence, it is important to explore the research evidence of robot-assisted…
Descriptors: Mathematics Instruction, Robotics, Technology Uses in Education, Elementary Secondary Education
Yiwen Jin; Lies Sercu – Journal of Computer Assisted Learning, 2025
Background: Artificial intelligence has been reshaping many industries, and education is no exception. When ChatGPT burst onto the scene in late 2022, it ignited conversations among educators and researchers alike. Despite growing interest and experimentation with this technology in university classrooms, the field has been missing a comprehensive…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Higher Education
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
Nan Ma; Zhiyong Zhong – Journal of Computer Assisted Learning, 2025
Background: With the rapid advancement of technology, the integration of Generative Artificial Intelligence (GAI) in education has gained considerable attention. Many studies have examined GAI's impact on learning outcomes, yet their conclusions are inconsistent, highlighting the need for a comprehensive review to clarify its overall effects and…
Descriptors: Meta Analysis, Artificial Intelligence, Technology Uses in Education, Outcomes of Education
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
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
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
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
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
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)
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
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
Stevenson, Michael; Lai, Jennifer W. M.; Bower, Matt – Journal of Computer Assisted Learning, 2022
Background: Screen-sharing technologies enable applications such as screen mirroring, video streaming and instant messaging across multiple device screens. Despite their increasing use in many contemporary classrooms, there is a paucity of research directly examining pedagogical benefits and issues of these technologies. Objectives: This study…
Descriptors: Elementary School Teachers, Secondary School Teachers, Educational Technology, Technology Uses in Education
Fangzhou Jin; Xiangmei Peng; Lanfang Sun; Zicong Song; Keyi Zhou; Chin-Hsi Lin – Journal of Computer Assisted Learning, 2025
Background: There are various challenges to teachers' use of generative artificial intelligence (GenAI) for professional learning. Although GenAI is expected to play a transformative role in teachers' learning, its impact on them remains subtle. Objectives: Guided by community of practice, this paper examines the integration of GenAI into an…
Descriptors: Artificial Intelligence, Communities of Practice, Technology Uses in Education, Experienced Teachers

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