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Thomas Corbin; Phillip Dawson; Danny Liu – Assessment & Evaluation in Higher Education, 2025
Generative AI (GenAI) challenges assessment validity by enabling students to complete tasks without demonstrating genuine capability. In response to this challenge, institutions have developed and implemented various approaches that aim to communicate permissible AI use to students. Familiar examples include the 'traffic light' approach now…
Descriptors: Artificial Intelligence, Student Evaluation, Evaluation Methods, Change
Brian E. Clauser; Victoria Yaneva; Peter Baldwin; Le An Ha; Janet Mee – Applied Measurement in Education, 2024
Multiple-choice questions have become ubiquitous in educational measurement because the format allows for efficient and accurate scoring. Nonetheless, there remains continued interest in constructed-response formats. This interest has driven efforts to develop computer-based scoring procedures that can accurately and efficiently score these items.…
Descriptors: Computer Uses in Education, Artificial Intelligence, Scoring, Responses
Atanu Bhattacharya; Kalyan Dasgupta; Binoy Paine – Journal of Chemical Education, 2024
In this paper, we present a computational chemistry project that demonstrates the quantum dynamics of a free particle, using both classical and quantum computing algorithms. This project can be used in a computational quantum chemistry course in which the instructor introduces quantum computing. Students write their own programs to simulate the…
Descriptors: Chemistry, Science Education, Quantum Mechanics, Computer Science
Andrew Kwok-Fai Lui; Sin-Chun Ng; Stella Wing-Nga Cheung – Interactive Learning Environments, 2024
The technology of automated short answer grading (ASAG) can efficiently process answers according to human-prepared grading examples. Computer-assisted acquisition of grading examples uses a computer algorithm to sample real student responses for potentially good examples. The process is critical for optimizing the grading accuracy of machine…
Descriptors: Grading, Computer Uses in Education, Educational Technology, Artificial Intelligence
Antonios Kafa – International Journal of Educational Management, 2025
Purpose: The rapid digitalization and emergence of AI tools are transforming school organizations. However, limited research exists on how school leaders integrate these technologies into their leadership practices. This study focuses on the experiences of school leaders in Cyprus, exploring the benefits and challenges of adopting digital and AI…
Descriptors: Artificial Intelligence, Computer Uses in Education, Elementary Schools, Secondary Schools
Sarah Burriss; Blaine Smith; Amanda Yoshiko Shimizu; Melanie Hundley; Emily Pendergrass; Ole Molvig – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2025
Generative artificial intelligence (AI) models are increasingly able to produce and combine sophisticated text, image, and audio. These advancements are challenging composers and teachers, as they work to reimagine and resist ways that composition and creative work are changing. This paper reports on one analysis in a larger study on multimodal…
Descriptors: Ethics, Artificial Intelligence, Writing (Composition), Computer Uses in Education
Jiahui Luo; Chrysa Pui Chi Keung; Hei-hang Hayes Tang – Assessment & Evaluation in Higher Education, 2025
This study uses the concept of dilemmatic space to unpack the complexities of teachers' work when it comes to assessing students in the GenAI age. A key idea of dilemmatic space is that dilemmas are not 'out there' but constructions based on individuals' priorities, knowledge and values. Therefore, studying what teachers perceive as 'dilemmatic'…
Descriptors: Artificial Intelligence, College Faculty, Student Evaluation, Computer Uses in Education
Christine E. Bell; Oana Birceanu – Advances in Physiology Education, 2025
One of the identified points of confusion and a barrier to students using generative artificial intelligence (GenAI) is knowing what their professor would consider appropriate use of GenAI in a classroom setting or course framework. This creates points of friction for instructors and students as they try to navigate an ever-changing landscape,…
Descriptors: Scaffolding (Teaching Technique), Artificial Intelligence, Physiology, Pharmacology
Khalida Parveen; Abdulelah A. Alghamdi; Nagwan Abdel Samee; Muhammad Shafiq – Journal of Educational Computing Research, 2025
As technology rapidly evolves, generative AI tools are increasingly integrated across various fields, including education. ChatGPT, a well-known language model developed by OpenAI, has gained significant importance in educational settings. This study employed a quantitative, cross-sectional survey design and employed the Unified Theory of…
Descriptors: Artificial Intelligence, Computer Uses in Education, College Students, Foreign Countries
Margaret C. Hoffman – Journal of Extension, 2025
Immersive 360 technologies are increasing equity and inclusion, learning motivation, and engagement of students in many educational disciplines. Extension stakeholders could also benefit from the use of this technology in educational settings. The affordability and ease of use adds a tool to the Extension repertoire to interest and engage…
Descriptors: Extension Education, Computer Simulation, Computer Uses in Education, Tourism
Michael W. Kessinger, Editor; Gera S. Nelson, Editor; Lesia Lennex, Editor; Kimberely Fletcher Nettleton, Editor – IGI Global, 2025
The role of AI in education is slowly growing. As a new technology, its uses and capabilities have not been fully realized or understood. AI provides many opportunities as well as challenges for supporting students, teachers, and skills development. However, from higher education faculty to preschool teachers, the ways in which AI can support…
Descriptors: Artificial Intelligence, Educational Change, Technology Integration, Educational Policy
Eiman Negm – Higher Education, Skills and Work-based Learning, 2025
Purpose: This study investigates the significant determinants that lead different work-field employees to develop intentions to enroll in educational programs that use artificial intelligence (AI). Venkatesh's (2000) technology acceptance model 3 (TAM3) is the foundation for the proposed research model in the current study, presenting a complete…
Descriptors: Work Based Learning, Artificial Intelligence, Computer Uses in Education, Intention
Thomas Rogers; Mike Carbonaro – Journal of Teaching and Learning, 2025
This paper explores the distinctions and connections between AI literacy and AI fluency, drawing parallels with the historical development of other literacies such as computer literacy and digital fluency. The paper argues that while AI literacy focuses on understanding and evaluating AI technologies, AI fluency represents a higher-order…
Descriptors: Elementary Secondary Education, Artificial Intelligence, Multiple Literacies, Computer Uses in Education
Huiling Liu – Decision Sciences Journal of Innovative Education, 2025
This study leverages the digital sticky note feature in Zoom's whiteboard to provide students with opportunities to gain a better understanding of supply chain management through engagement and hands-on experience in a synchronous online class. The activity was implemented within an online graduate course in Operations and Supply Chain Management…
Descriptors: Business Education, Online Courses, Graduate Students, Videoconferencing
Scott Cameron; Carmel Mesiti; Paul Fijn – Mathematics Education Research Group of Australasia, 2025
Generative Artificial Intelligence (GenAI) chatbots provide teachers with opportunities to enhance their expertise by exploring topics relevant to their practice. However, studies have raised concerns about ChatGPT's mathematical accuracy. This pilot study evaluated ChatGPT's Pedagogical Content Knowledge (PCK) and Content Knowledge (CK),…
Descriptors: Artificial Intelligence, Pedagogical Content Knowledge, Mathematics Education, Computer Uses in Education

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