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Showing 1 to 15 of 104 results Save | Export
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Shang Shanshan; Geng Sen – Journal of Computer Assisted Learning, 2024
Background: Artificial intelligence-generated content (AIGC) has stepped into the spotlight with the emergence of ChatGPT, making effective use of AIGC for education a hot topic. Objectives: This study seeks to explore the effectiveness of integrating AIGC into programming learning through debugging. First, the study presents three levels of AIGC…
Descriptors: Artificial Intelligence, Educational Technology, Technology Integration, Programming
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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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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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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
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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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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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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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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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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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Allan Mesa Canonigo – Journal of Computer Assisted Learning, 2024
Motivation: This research investigates the transformative impact of integrating AI into mathematics education, aiming to enhance students' conceptual understanding and self-efficacy. It addresses the crucial need for innovative teaching methods in response to contemporary challenges in education and aims to fill gaps in understanding the potential…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Mathematics Instruction, Problem Solving
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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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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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García-Vandewalle García, José Manuel; García-Carmona, Marina; Trujillo Torres, Juan Manuel; Moya-Fernández, Pablo – Journal of Computer Assisted Learning, 2022
Background: The development of students' digital skills is essential to access the labour market and interact with society, being especially important in disadvantaged socioeconomic contexts affected by the digital divide. Objectives: The investigation has two objectives. On the one hand, to study the integration of ICT in disadvantaged contexts…
Descriptors: Technology Integration, Socioeconomic Status, Disadvantaged Schools, Program Implementation
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