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Jian-Wei Tzeng; Nen-Fu Huang; Yi-Hsien Chen; Ting-Wei Huang; Yu-Sheng Su – Educational Technology & Society, 2024
Massive open online courses (MOOCs; online courses delivered over the Internet) enable distance learning without time and place constraints. MOOCs are popular; however, active participation level among students who take MOOCs is generally lower than that among students who take in-person courses. Students who take MOOCs often lack guidance, and…
Descriptors: MOOCs, Artificial Intelligence, Electronic Learning, Student Participation
Som Nath Ghimire; Upaj Bhattarai; Raj K. Baral – Higher Education Research and Development, 2024
AI-powered ChatGPT has sparked considerable discussion in media, academia, and the scientific community of late. This empirical study reports on how higher education (HE) students in Nepal have utilized, experienced, and perceived this technology. This study, based on a qualitative design, utilized semi-structured interviews with university…
Descriptors: Foreign Countries, Artificial Intelligence, Computer Software, Technology Uses in Education
Kristof Savski – LEARN Journal: Language Education and Acquisition Research Network, 2024
Reflecting on recent social transformations and technological innovations, this article argues that a holistic change is needed in the scope and identity of English language teaching. I argue that we must embrace a move away from teaching "just English", that is, concentrating on instruction that targets language in isolation from other…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Artificial Intelligence
Kaitlin K. Cummings; Rachel K. Greene; Paul Cernasov; Dang Dang Delia Kan; Julia Parish-Morris; Gabriel S. Dichter; Jessica L. Kinard – Journal of Speech, Language, and Hearing Research, 2024
Purpose: This study examined the impact of bilingualism on affective theory of mind (ToM) and social prioritization (SP) among autistic adults compared to neurotypical comparison participants. Method: Fifty-two (25 autistic, 27 neurotypical) adult participants (ages 21-35 years) with varying second language (L2) experience, ranging from…
Descriptors: Bilingualism, Theory of Mind, Autism Spectrum Disorders, Young Adults
Jacob Whitehill; Jennifer LoCasale-Crouch – Journal of Educational Data Mining, 2024
With the aim to provide teachers with more specific, frequent, and actionable feedback about their teaching, we explore how Large Language Models (LLMs) can be used to estimate "Instructional Support" domain scores of the CLassroom Assessment Scoring System (CLASS), a widely used observation protocol. We design a machine learning…
Descriptors: Artificial Intelligence, Teacher Evaluation, Models, Transcripts (Written Records)
John Pace; John Hansen; John Stewart – Physical Review Physics Education Research, 2024
Machine learning models were constructed to predict student performance in an introductory mechanics class at a large land-grant university in the United States using data from 2061 students. Students were classified as either being at risk of failing the course (earning a D or F) or not at risk (earning an A, B, or C). The models focused on…
Descriptors: Artificial Intelligence, Identification, At Risk Students, Physics
Solbee Kim – ProQuest LLC, 2024
Since the release of advanced Large Language Models (LLMs) like ChatGPT in the winter of 2022, educators have been challenged to integrate AI in educational contexts without adequate preparation. This multimethod study aims to provide valuable insights into how students and teachers can make effective, responsible use of AI tools for writing.…
Descriptors: Artificial Intelligence, Writing (Composition), Technology Uses in Education, Computer Software
Jeffrey Shero; Jessica Logan – Society for Research on Educational Effectiveness, 2024
Background/Context: Previous research in educational assessment has consistently emphasized the importance of reliability as a cornerstone of test quality. Traditional measures of reliability, such as test-retest and split-half reliability, offer a broad view of how internally consistent a measure is but overlook the variability in this internal…
Descriptors: Educational Assessment, Special Education, Students with Disabilities, Learning Disabilities
Lingfei Luan; Xi Lin; Yan Dai; Shu Hu; Qianlu Sun – Asian Journal of Distance Education, 2024
The emergence of ChatGPT, an AI system designed for conversation by OpenAI, has prompted conversations about its transformative possibilities in multiple fields, primarily in education. This study conducts an in-depth investigation into the emotional and cognitive factors contributing to the popularity of ChatGPT and its influence on the shift…
Descriptors: COVID-19, Pandemics, Artificial Intelligence, Computer Software
Intira Sakmiankaew; Nguyen Minh Tu; Nguyen Ngo Dai De; Adcharawan Buripakdi – rEFLections, 2024
Artificial intelligence tools (AITs) have become a crucial resource for both English as a foreign language (EFL) teachers and students seeking to enhance their language skills. With the advent of cutting-edge AI technologies, the impact on teaching writing skills has been significant. A recent study explored the perceptions and challenges faced by…
Descriptors: Artificial Intelligence, Teacher Attitudes, Student Attitudes, College Students
Faouzi Kamoun; Walid El Ayeb; Ibtissem Jabri; Sami Sifi; Farkhund Iqbal – Journal of Information Technology Education: Research, 2024
Aim/Purpose: This study explores the Knowledge, Attitude, and Perception (KAP) towards ChatGPT among university students and faculty. It also examines the faculty's readiness to cope with the challenges and leverage the opportunities presented by AI-powered conversational models. Background: Launched on November 30, 2022, ChatGPT took the world by…
Descriptors: Knowledge Level, Student Attitudes, Teacher Attitudes, Artificial Intelligence
Nan Pang – International Journal of Web-Based Learning and Teaching Technologies, 2024
Multimedia information fusion technology is currently a popular technology for data processing. The advanced productivity it brings is dozens of times that of traditional data information processing. The collected and processed information is not only efficient and accurate, but also has strong scalability. With the continuous development of…
Descriptors: Foreign Countries, Academic Libraries, Library Facilities, Library Development
Ekaterina Rzyankina; Frikkie George; Zach Simpson – IEEE Transactions on Education, 2024
Background: The COVID-19 pandemic and the shift to digital learning materials have dramatically reduced the use of paper-based textbooks in higher education. In the field of engineering, students need a comprehensive understanding of mathematical concepts, which can be achieved through the use of e-textbooks. These digital learning materials can…
Descriptors: Engineering Education, Electronic Publishing, Misconceptions, Mathematics Instruction
Yalçin Dilekli; Serkan Boyraz – International Journal of Modern Education Studies, 2024
This research was conducted to see if using ChatGPT prompts students to think more deeply through reflection reports. The case study method and qualitative research methodology were used to carry out this study. Five graduate students in the Curriculum and Instruction department at Aksaray University's Social Sciences Institute who were teachers…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Technology Uses in Education
Dwayne Wood; Scott H. Moss – Journal of Research in Innovative Teaching & Learning, 2024
Purpose: The purpose of the study was to evaluate the impact of generative artificial intelligence (GenAI) on students' learning experiences and perceptions through a master's-level course. The study specifically focused on student engagement, comfort with GenAI and ethical considerations. Design/methodology/approach: The study used an action…
Descriptors: Artificial Intelligence, Learning Experience, Influence of Technology, Evaluation

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