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Yalin Gao; Shuang Bu – Education and Information Technologies, 2024
English has long been regarded as the universal language. Countries that were earlier reluctant to learn English have also changed their stand due to its global reach. The nonnative English speaker's proficiency largely depends on the College English Teaching (CET) and its evaluation methods. Traditional teaching evaluation models failed to…
Descriptors: College English, English Instruction, English Teachers, College Faculty
Nudrat Saleem; Tabish Mufti; Shahab Saquib Sohail; Dag Øivind Madsen – Cogent Education, 2024
In this study, we aim to investigate the potential advantages of integrating the new generative artificial intelligence (AI) technology, ChatGPT, into higher education, specifically within the field of medical education. The focus is on exploring ChatGPT's applications in personalized learning, assessment, and content creation while also…
Descriptors: Technology Uses in Education, Artificial Intelligence, Teaching Methods, Medical Education
Miriam W. Ndungu – Journal of Information Literacy, 2024
This paper addresses the question of how to introduce basic artificial intelligence (AI) literacy skills to learners in higher education. It proposes that a feasible approach is to integrate AI literacy components into existing media and information literacy (MIL) programmes. The paper discusses elements of intersection between the two literacies,…
Descriptors: Artificial Intelligence, Technological Literacy, Media Literacy, Information Literacy
Ying Liu – International Journal of Web-Based Learning and Teaching Technologies, 2024
In recent years, with the economic development of various countries, education has also made great leaps, and piano teaching has been popularized and promoted in various universities. Pianos are also put into use in universities through normal channels. According to the survey, there are certain drawbacks in the teaching process of piano, which…
Descriptors: Musical Instruments, Music Education, Artificial Intelligence, Higher Education
Alyssa P. Lawson; Amedee Marchand Martella; Kristen LaBonte; Cynthia Y. Delgado; Fangzheng Zhao; Justin A. Gluck; Mitchell E. Munns; Ashleigh Wells LeRoy; Richard E. Mayer – Educational Psychology Review, 2024
A substantial amount of media comparison research has been conducted in the last decade to investigate whether students learn Science, Technology, Engineering, and Mathematics (STEM) content better in immersive virtual reality (IVR) or more traditional learning environments. However, a thorough review of the design and implementation of…
Descriptors: Mass Media, Comparative Analysis, Artificial Intelligence, STEM Education
Cong Doanh Duong; Duc Tho Bui; Huong Thao Pham; Anh Trong Vu; Van Hoang Nguyen – Interactive Technology and Smart Education, 2024
Purpose: The emergence of artificial intelligence technologies, like ChatGPT, has taken the world by storm, particularly in the education sector. This study aims to adopt the unified theory of acceptance and use of technology to explore how effort expectancy (EEC) and performance expectancy (PEE) individually, jointly, congruently and…
Descriptors: Artificial Intelligence, Synchronous Communication, Technology Uses in Education, Expectation
Imre Csaszar; Jennifer R. Curry – Research Issues in Contemporary Education, 2024
Students have gravitated toward the convenience of artificial intelligence (AI) to generate text, music, and for entertainment. Faculty are also emerging as AI consumers. Given that faculty workloads have become increasingly difficult to manage, AI holds promise for assisting with teaching and research. In this article, a pedagogical case study is…
Descriptors: Artificial Intelligence, Assignments, Critical Thinking, Ethics
Kelsey Behringer; Devyn Maguire – New Directions for Community Colleges, 2024
This article dives into the reality of how, since 2023, generative artificial intelligence (AI) has emerged as an inescapable force in education and highlights the work of community college faculty in use of AI in teaching and learning. ChatGPT is an example of a relatively new and rapidly evolving aspect of AI research, the large language model.…
Descriptors: Artificial Intelligence, Technology Uses in Education, Opportunities, College Faculty
Davis, Van L. – WICHE Cooperative for Educational Technologies (WCET), 2023
This resource is a quick primer on AI, with examples of what the different programs can generate based on user prompts, challenges and opportunities, discussion of implications and our recommendations for higher education institutions.
Descriptors: Artificial Intelligence, Higher Education, Automation, Writing (Composition)
Fan, Zongwen; Chiong, Raymond – Education and Information Technologies, 2023
Digital capabilities have become increasingly important in this digital age. Within a university setting, digital capability assessment is key to curriculum design and curriculum mapping, given that digital capabilities not only can help students engage and communicate with others but also succeed at work. To the best of our knowledge, however, no…
Descriptors: Course Content, Artificial Intelligence, Technological Literacy, Computer Literacy
Kim, Jinhee; Lee, Sang-Soog – TechTrends: Linking Research and Practice to Improve Learning, 2023
A growing number of educators expect that artificial intelligence (AI) will augment students' capacities and rapidly transform the teaching and learning practice. However, there is a lack of convincing evidence on the effects of Student-AI Collaboration (SAC) on a learning task's performance. A critical examination of the effects on students'…
Descriptors: Artificial Intelligence, Cooperation, Academic Achievement, Undergraduate Students
Álvarez-Álvarez, Carmen; Falcon, Samuel – Educational Technology Research and Development, 2023
University teaching practices impact student interest, engagement, and academic performance. This paper presents a study that uses artificial intelligence (AI) to examine students' preferences for university teaching practices. We asked students in various fields open-ended questions about the best teaching practices they had experienced. Due to…
Descriptors: College Students, Preferences, Teaching Methods, Artificial Intelligence
Al-Alawi, Lamees; Al Shaqsi, Jamil; Tarhini, Ali; Al-Busaidi, Adil S. – Education and Information Technologies, 2023
This study aims to employ the supervised machine learning algorithms to examine factors that negatively impacted academic performance among college students on probation (underperforming students). We used the Knowledge Discovery in Databases (KDD) methodology on a sample of N = 6514 college students spanning 11 years (from 2009 to 2019) provided…
Descriptors: Artificial Intelligence, Predictor Variables, Academic Achievement, Grade Prediction
Orji, Fidelia A.; Vassileva, Julita – Journal of Educational Computing Research, 2023
There is a dearth of knowledge on how persuasiveness of influence strategies affects students' behaviours when using online educational systems. Persuasiveness is a term used in describing a system's capability to motivate desired behaviour. Most existing approaches for assessing the persuasiveness of a system are based on subjective measures…
Descriptors: Influences, Student Behavior, Artificial Intelligence, Electronic Learning
Yang, Tzu-Chi – Educational Technology & Society, 2023
The development of digital competence has become an important part of higher education, and digital competence assessments have attracted considerable attention and concerns. Previous studies in this area mainly focused on self-reporting and manual review methods such as questionnaires, which offer limited assessment value. To solve this issue,…
Descriptors: Artificial Intelligence, Digital Literacy, Natural Language Processing, Higher Education