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Ng, Davy Tsz Kit; Leung, Jac Ka Lok; Su, Jiahong; Ng, Ross Chi Wui; Chu, Samuel Kai Wah – Educational Technology Research and Development, 2023
The pandemic has catalyzed a significant shift to online/blended teaching and learning where teachers apply emerging technologies to enhance their students' learning outcomes. Artificial intelligence (AI) technology has gained its popularity in online learning environments during the pandemic to assist students' learning. However, many of these AI…
Descriptors: Teacher Competencies, Digital Literacy, 21st Century Skills, Artificial Intelligence
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Cooper, Grant – Journal of Science Education and Technology, 2023
The advent of generative artificial intelligence (AI) offers transformative potential in the field of education. The study explores three main areas: (1) How did ChatGPT answer questions related to science education? (2) What are some ways educators could utilise ChatGPT in their science pedagogy? and (3) How has ChatGPT been utilised in this…
Descriptors: Artificial Intelligence, Technology Uses in Education, Science Education, Research Tools
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DiCarlo, Cynthia F.; Deris, Aaron R.; Deris, Thomas P. – Journal of Behavioral Education, 2023
The purpose of this study was to investigate the impact of mLearning or mobile device practice on the attention and accuracy of student's use of math concepts, specifically, telling time. A single subject, alternating treatment design was used to compare mLearning to paper and pencil practice in four 3rd grade male students. Results were mixed;…
Descriptors: Artificial Intelligence, Computer Oriented Programs, Handheld Devices, Attention
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Lee, Donghwa; Kim, Hong-hyeon; Sung, Seok-Hyun – Educational Technology Research and Development, 2023
For decades, AI applications in education (AIEd) have shown how AI can contribute to education. However, a challenge remains: how AIEd, guided by educational knowledge, can be made to meet specific needs in education, specifically in supporting learners' autonomous learning. To address this challenge, we demonstrate the process of developing an…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Assisted Instruction, Second Language Learning
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Zhang, Chengming; Schießl, Jessica; Plößl, Lea; Hofmann, Florian; Gläser-Zikuda, Michaela – International Journal of Educational Technology in Higher Education, 2023
Over the past few years, there has been a significant increase in the utilization of artificial intelligence (AI)-based educational applications in education. As pre-service teachers' attitudes towards educational technology that utilizes AI have a potential impact on the learning outcomes of their future students, it is essential to know more…
Descriptors: Artificial Intelligence, Preservice Teachers, Technology Uses in Education, Student Attitudes
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Chang, Jina; Park, Joonhyeong; Park, Jisun – Asia-Pacific Science Education, 2023
This study aims to explore how to use an AI chatbot pedagogically in scientific inquiry by developing a guided-inquiry activity using an AI chatbot and applying it. The developed guided-inquiry activity consisted of designing and doing inquiry activities using the transmission of sound as the topic. In this activity, a chatbot, which was given the…
Descriptors: Artificial Intelligence, Computer Mediated Communication, Science Education, Inquiry
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Salm, Veronica; Chopra, Shivangi; Golab, Lukasz – International Journal of Work-Integrated Learning, 2023
Cooperative education (co-op) programs combine coursework and work internships and have become popular worldwide. Using over 45,000 performance evaluations collected separately for in-person (2019) and remote (2021) internship positions, this study uncovered the characteristics of successful co-op students. Each evaluation included an overall…
Descriptors: Cooperative Education, Workplace Learning, Work Experience Programs, Internship Programs
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Phillips, Tanner M.; Saleh, Asmalina; Ozogul, Gamze – International Journal of Artificial Intelligence in Education, 2023
Encouraging teachers to reflect on their instructional practices and course design has been shown to be an effective means of improving instruction and student learning. However, the process of encouraging reflection is difficult; reflection requires quality data, thoughtful analysis, and contextualized interpretation. Because of this, research on…
Descriptors: Reflection, Artificial Intelligence, Natural Language Processing, Data Collection
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Caspari-Sadeghi, Sima – Journal of Educational Technology Systems, 2023
Intelligent assessment, the core of any AI-based educational technology, is defined as embedded, stealth and ubiquitous assessment which uses intelligent techniques to diagnose the current cognitive level, monitor dynamic progress, predict success and update students' profiling continuously. It also uses various technologies, such as learning…
Descriptors: Artificial Intelligence, Educational Technology, Computer Assisted Testing, Barriers
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Liew, Tze Wei; Tan, Su-Mae; Pang, Wei Ming; Khan, Mohammad Tariqul Islam; Kew, Si Na – Education and Information Technologies, 2023
Modern text-to-speech voices can convey social cues ideal for narrating multimedia learning materials. Amazon Alexa has a unique feature among modern text-to-speech vocalizers as she can infuse enthusiasm cues into her synthetic voice. In this first study examining modern text-to-speech voice enthusiasm effects in a multimedia learning…
Descriptors: Artificial Intelligence, Audio Equipment, Assistive Technology, Speech Communication
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Storey, Valerie A. – International Journal of Adult Education and Technology, 2023
Evidence shows that artificial intelligence (AI) has become an important subject in academia, representing about 2.2% of all scientific publications. One concern for doctoral programs is the future role of AI in doctoral writing due to the increase in AI-generated content, such as text and images. Apprehensions have been expressed that the use of…
Descriptors: Correlation, Artificial Intelligence, Doctoral Dissertations, Writing Difficulties
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Hosseini, Mohammad; Resnik, David B.; Holmes, Kristi – Research Ethics, 2023
In this article, we discuss ethical issues related to using and disclosing artificial intelligence (AI) tools, such as ChatGPT and other systems based on large language models (LLMs), to write or edit scholarly manuscripts. Some journals, such as "Science," have banned the use of LLMs because of the ethical problems they raise concerning…
Descriptors: Ethics, Artificial Intelligence, Computational Linguistics, Natural Language Processing
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Park, Joonhyeong; Teo, Tang Wee; Teo, Arnold; Chang, Jina; Huang, Jun Song; Koo, Sengmeng – International Journal of STEM Education, 2023
Background: In the midst of digital transformation, schools are transforming their classrooms as they prepare students for a world increasingly automated by new technologies, including artificial intelligence (AI). During curricular implementation, it has not made sense to teachers to teach AI as a stand-alone subject as it is not a traditional…
Descriptors: Technology Integration, Artificial Intelligence, Science Education, Teaching Experience
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Glaser, Noah – Technology, Knowledge and Learning, 2023
This emerging technology report explores the potential of ChatGPT, an AI-powered chatbot developed by OpenAI, as an educational technology. Drawing on previous research on AI and education, the relevance of ChatGPT for learning, instruction, and assessment is discussed, as well as how the tool is being used in practice. Potential ethical concerns…
Descriptors: Artificial Intelligence, Computer Mediated Communication, Technology Uses in Education, Technological Advancement
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Xu, Xiaoqiu; Dugdale, Deborah M.; Wei, Xin; Mi, Wenjuan – American Journal of Distance Education, 2023
The recent surge of online language learning services in the past decade has benefitted second language learners. However, there is a lack of understanding of whether learners, especially young learners, are engaged in online learning, and how educators can enhance the engagement of the online learning experience. This study examines an artificial…
Descriptors: Artificial Intelligence, Prediction, Electronic Learning, Learner Engagement
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