NotesFAQContact Us
Collection
Advanced
Search Tips
Showing 46 to 60 of 1,805 results Save | Export
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Donna Poade; Russell M. Crawford – Brock Education: A Journal of Educational Research and Practice, 2024
The emergence of artificial intelligence (AI) in academia has prompted various debates on the uses, threats, and limitations of tools that can create text for numerous academic purposes. Critics argue that these advancements may provide opportunities for cheating and plagiarism and even replace the art of writing entirely. To reclaim the…
Descriptors: Academic Language, Artificial Intelligence, Algorithms, Personal Autonomy
Peer reviewed Peer reviewed
Direct linkDirect link
Ziqing Peng; Yan Wan – Education and Information Technologies, 2024
Understanding preferences surrounding artificial intelligence (AI) and human teaching assistants (TAs) helps managers improve AI TAs, effectively deploying AI and human TAs, and providing better services to learners. The literature has explored how AI TAs' characteristics affect students' use intention, neglecting students' comparative behaviors…
Descriptors: Artificial Intelligence, Teaching Assistants, Student Attitudes, Anxiety
Peer reviewed Peer reviewed
Direct linkDirect link
Sinan Hopcan; Gamze Türkmen; Elif Polat – Education and Information Technologies, 2024
With the advancement of artificial intelligence (AI) and machine learning (ML) techniques, attitudes towards these two fields have begun to gain importance in different professions. One of the affected professions is undoubtedly the teaching profession. Increasing the levels of concern for artificial intelligence and attitudes towards machine…
Descriptors: Artificial Intelligence, Educational Technology, Anxiety, Preservice Teachers
Peer reviewed Peer reviewed
Direct linkDirect link
Christof Royer – Studies in Philosophy and Education, 2024
This article analyses ChatGPT from the perspective of the philosophy of education. It explores ChatGPT's implications for universities, focussing on the intertwined concepts of critical thinking, the crisis of higher education, and humanity. Does ChatGPT sound the death knell for critical thinking and, thus, exacerbate the oft-diagnosed 'crisis in…
Descriptors: Artificial Intelligence, Educational Philosophy, Higher Education, Universities
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Ozgun Uyanik Aktulun; Koray Kasapoglu; Bulent Aydogdu – Journal of Baltic Science Education, 2024
Identifying student teachers' attitudes and anxiety toward artificial intelligence (AI) in regard to their field of study might be helpful in determining whether and how AI will be employed in their future classrooms. Hence, this study aims to compare pre-service STEM and non-STEM teachers' attitudes and anxiety toward AI. In this quantitative…
Descriptors: Foreign Countries, Preservice Teachers, STEM Education, Student Attitudes
Peer reviewed Peer reviewed
Direct linkDirect link
Alejandra J. Magana; Syed Tanzim Mubarrat; Dominic Kao; Bedrich Benes – IEEE Transactions on Learning Technologies, 2024
Fostering productive engagement within teams has been found to improve student learning outcomes. Consequently, characterizing productive and unproductive time during teamwork sessions is a critical preliminary step to increase engagement in teamwork meetings. However, research from the cognitive sciences has mainly focused on characterizing…
Descriptors: Artificial Intelligence, Technology Uses in Education, Teamwork, Learner Engagement
Peer reviewed Peer reviewed
Direct linkDirect link
Yajun Guo; Shuai Li; XinDi Zhang; Yiyang Fu; Yiming Yuan; Yanquan Liu – College & Research Libraries, 2024
The purpose of this study is to learn more about virtual reality (VR) and augmented reality (AR) practices at the United States' top one hundred university libraries, as well as how they are engaging with the metaverse. We conducted qualitative and descriptive analysis on the websites of the top one hundred university libraries in the United…
Descriptors: Research Libraries, Academic Libraries, Artificial Intelligence, Metadata
Peer reviewed Peer reviewed
Direct linkDirect link
Hyunkyoung Yoon; Jihye Hwang; Kyungwon Lee; Kyeong Hah Roh; Oh Nam Kwon – ZDM: Mathematics Education, 2024
In this exploratory study, we investigate undergraduate students' engagement with generative Artificial Intelligence (genAI) in proving mathematical statements. We selected six mathematical statements to conduct interviews with three students. We present the emergent framework, Students' Interactive Proving Experience with AI (SIPE-AI), which…
Descriptors: Artificial Intelligence, Computer Uses in Education, Mathematical Logic, Ethics
Peer reviewed Peer reviewed
Direct linkDirect link
Priya Patel; Harsh Pandya; Rajiv Ranganathan; Mei-Hua Lee – Journal of Motor Learning and Development, 2024
Manual exploratory behaviors during object interaction that form the basis of tool use behavior, are mostly qualitatively characterized in terms of their frequency and duration of occurrence. To fully understand their functional and clinical significance, quantitative movement characterization is needed alongside their qualitative analysis.…
Descriptors: Discovery Learning, Toys, Measurement Equipment, Object Manipulation
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Vafa Savaskan; Nursah Özer – Shanlax International Journal of Education, 2024
The concept of Artificial Intelligence (AI) initially emerged as a term in the field of computer science. In the subsequent years, this concept transcended its origins and became relevant across various domains of human life. Nowadays, it's possible to encounter AI in nearly every aspect of human life. In this context, it's considered noteworthy…
Descriptors: Turkish, Artificial Intelligence, Figurative Language, Preservice Teachers
Peer reviewed Peer reviewed
Direct linkDirect link
Andrew Millam; Christine Bakke – Journal of Information Technology Education: Innovations in Practice, 2024
Aim/Purpose: This paper is part of a multi-case study that aims to test whether generative AI makes an effective coding assistant. Particularly, this work evaluates the ability of two AI chatbots (ChatGPT and Bing Chat) to generate concise computer code, considers ethical issues related to generative AI, and offers suggestions for how to improve…
Descriptors: Coding, Artificial Intelligence, Natural Language Processing, Computer Software
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Laurie O. Campbell; Thomas D. Cox – Journal of the Scholarship of Teaching and Learning, 2024
In higher education, generative chatbots have infiltrated teaching and learning. Concerns about how and if to utilize chatbots in the classroom are at the forefront of scholarly discussion. This quick-hit article presents a plan to teach learners about generative AI writing tools and their ethical use for writing purposes. As generative AI tools…
Descriptors: Research Projects, Writing Processes, Writing (Composition), Artificial Intelligence
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Gurhan Durak; Serkan Cankaya – Turkish Online Journal of Distance Education, 2024
The main aim of this mixed methods study is to determine the evaluations made by academics on an academic text generated with ChatGPT and get their general views on ChatGPT. The convergent parallel design is utilized where the qualitative and quantitative methods are combined to produce triangulated results. Data were collected via an online form…
Descriptors: Artificial Intelligence, Technology Uses in Education, Teacher Attitudes, College Faculty
Peer reviewed Peer reviewed
Direct linkDirect link
Lisa Bradley; Mia Perry; Giovanna Fassetta; Sadie Durkacz Ryan; Elizabeth L. Nelson – Reading Research Quarterly, 2024
Artificial Intelligence (AI) has threatened higher education (HE). In doing so it has granted a portal that makes visible the dominant paradigm that has long defined what "intelligence" is and the narrow set of knowledges and literacies sanctioned for its pursuit. In this paper, we orient our thinking from this clarifying moment, asking:…
Descriptors: Artificial Intelligence, Sustainability, Decolonization, Literacy
Peer reviewed Peer reviewed
Direct linkDirect link
Yongyan Zhao; Jian Li – International Journal of Web-Based Learning and Teaching Technologies, 2024
The attention time of students studying in MOOC (Massive Open Online Courses) classroom was analyzed to optimize and further improve their performance. On this basis, a student class model based on convolutional neural networks (CNN) feature extraction was proposed. Through Pr (Adobe Premiere) technology, students' class videos were processed by…
Descriptors: Higher Education, MOOCs, Artificial Intelligence, Networks
Pages: 1  |  2  |  3  |  4  |  5  |  6  |  7  |  8  |  9  |  10  |  11  |  ...  |  121