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Geng, Shuang; Niu, Ben; Feng, Yuanyue; Huang, Miaojia – British Journal of Educational Technology, 2020
Despite the popularity of massive open online courses (MOOCs), only a small portion of the course participants successfully complete the course. The low completion rate can be partially attributed to the mismatch between the participants' expectations and value delivered by the courses. Therefore, this study leverages MOOC reviews to investigate…
Descriptors: Online Courses, Electronic Learning, Man Machine Systems, Psychological Patterns
Guangxiang Liu; Chaojun Ma – Innovation in Language Learning and Teaching, 2024
Purpose: This study aims to generate empirical insights into the extent to which ChatGPT, a highly capable AI chatbot building on OpenAI's GPT family, is perceived and leveraged by EFL learners beyond the classroom. Design/Methodology: This quantitative cross-sectional investigation draws upon the technology acceptance model (TAM) as developed by…
Descriptors: English (Second Language), Second Language Learning, Artificial Intelligence, Man Machine Systems
LuEttaMae Lawrence; Vanessa Echeverria; Kexin Yang; Vincent Aleven; Nikol Rummel – British Journal of Educational Technology, 2024
Artificial intelligence (AI) can enhance teachers' capabilities by sharing control over different parts of learning activities. This is especially true for complex learning activities, such as dynamic learning transitions where students move between individual and collaborative learning in un-planned ways, as the need arises. Yet, few initiatives…
Descriptors: Longitudinal Studies, Artificial Intelligence, Educational Technology, Learning Activities
Natalie Kramar; Yaroslava Bedrych; Zinaida Shelkovnikova – Advanced Education, 2024
Mastering academic writing skills in English is essential for future researchers. At present, AI language processing tools provide high-quality, accessible, and fast assistance for translation, editing, and stylistic enhancement of scientific texts. However, their use within English for Academic Purposes (EAP) courses generates mixed reactions…
Descriptors: Doctoral Students, Student Attitudes, Artificial Intelligence, Man Machine Systems
Anna Dillon; Geraldine Chell; Nusaibah Al Ameri; Nahla Alsayed; Yusra Salem; Moss Turner; Kay Gallagher – Journal of Educators Online, 2024
This paper shares the reflections of a small group of graduate students and faculty members in the United Arab Emirates (UAE) on the challenges and affordances of using large language model (LLM) tools to assist with academic writing in an English Medium Education (EME) context. The influence of interpretive grounded theory afforded the authors…
Descriptors: Academic Language, Artificial Intelligence, Man Machine Systems, Natural Language Processing
Tülübas, Tijen; Demirkol, Murat; Ozdemir, Tuncay Yavuz; Polat, Hakan; Karakose, Turgut; Yirci, Ramazan – Educational Process: International Journal, 2023
Background/purpose: ChatGPT, a recent form of AI-based language model, have garnered interest among people from diverse backgrounds with its immersive capabilities. Using ChatGPT to support or generate scientific research has also created an ongoing debate over its advantages versus risks. The present study aimed to conduct an AI-enabled research…
Descriptors: Artificial Intelligence, Emergency Programs, Distance Education, COVID-19
Han, Areum; Krieger, Florian; Borgonovi, Francesca; Greiff, Samuel – Large-scale Assessments in Education, 2023
Process data are becoming more and more popular in education research. In the field of computer-based assessments of collaborative problem solving (ColPS), process data have been used to identify students' test-taking strategies while working on the assessment, and such data can be used to complement data collected on accuracy and overall…
Descriptors: Behavior Patterns, Cooperative Learning, Problem Solving, Reaction Time
Borge, Marcela; Xia, Yu – Journal of the Learning Sciences, 2023
Background: In this paper, we extend theories of group cognition and regulation to examine how regulation occurs as part of a learning ecosystem. We examine our instructional approach, Embedded Design, that uses Human-Computer Interaction (HCI) as a conduit for students to make sense of their sociotechnical world and the ways people design…
Descriptors: Preadolescents, After School Programs, Clubs, Science and Society
Saif Alneyadi; Yousef Wardat – Contemporary Educational Technology, 2023
The study aimed to examine the influence of ChatGPT on the academic performance and learning perception of eleventh-grade students in a United Arab Emirates school in the field of electronic magnetism. The participants were randomly divided into two groups: an experimental group granted access to ChatGPT and a control group without access to…
Descriptors: Academic Achievement, Grade 11, Foreign Countries, Artificial Intelligence
Lee, Jaekyung; Jaeger, Joseph – International Journal of Educational Methodology, 2021
What are missing in the U.S. education policy of "college for all" are supporting data and indicators on K-16 education pathways, i.e, how well all students get ready and stay on track from kindergarten through college. This study creates synthetic national longitudinal education database that helps track and support students'…
Descriptors: College Readiness, Longitudinal Studies, Databases, Artificial Intelligence
Goli, Amir; Teymournia, Fatemeh; Naemabadi, Maedeh; Garmaroodi, Ali Andaji – Education and Information Technologies, 2022
The present article introduces and develops an educational tool as an interactive digital game for architectural design, allowing the architectural students to challenge their knowledge and experiences. The framework of this educational tool supports a serious open-ended game, which helps students get involved with the game through self-assessment…
Descriptors: Architectural Education, Building Design, Educational Games, Video Games
Romualdo Atibagos Mabuan – International Journal of Technology in Education, 2024
This study investigates the perceptions of English language teachers regarding the use of ChatGPT in English Language Teaching (ELT). The study aims to fill the research gap by exploring teachers' perspectives on the integration of ChatGPT as an instructional tool and its implications for ELT practices. Using a mixed methods approach, the study…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, English (Second Language)
Jiangyue Liu; Siran Li; Qianyan Dong – Journal of Educational Computing Research, 2024
The emergence of Generative Artificial Intelligence (GAI) has caused significant disruption to the traditional educational teaching ecosystem. GAI possesses remarkable capabilities in generating human-like text and boasts an extensive knowledge repository, thereby paving the way for potential collaboration with humans. However, current research on…
Descriptors: Artificial Intelligence, Learning Analytics, Computer Uses in Education, Instructional Design
Irene Picton; Christina Clark – National Literacy Trust, 2024
Recent developments in technology have accelerated the influence of artificial intelligence (AI) on our lives. The National Literacy Trust is interested in exploring how such platforms might influence, and potentially redefine, what it means to be literate in the digital age. Based on data from more than 50,000 children and young people taking…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Technology Uses in Education
Leon Furze; Mike Perkins; Jasper Roe; Jason MacVaugh – Australasian Journal of Educational Technology, 2024
The rapid adoption of generative artificial intelligence (GenAI) technologies in higher education has raised concerns about academic integrity, assessment practices and student learning. Banning or blocking GenAI tools has proven ineffective, and punitive approaches ignore the potential benefits of these technologies. As a result, assessment…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Evaluation Methods