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Todd Cherner; Teresa S. Foulger; Margaret Donnelly – TechTrends: Linking Research and Practice to Improve Learning, 2025
The ethics surrounding the development and deployment of generative artificial intelligence (genAI) is an important topic as institutions of higher education adopt the technology for educational purposes. Concurrently, stakeholders from various organizations have reviewed the literature about the ethics of genAI and proposed frameworks about it.…
Descriptors: Artificial Intelligence, Natural Language Processing, Decision Making, Models
Danah Henriksen; Punya Mishra; Lauren Woo; Nicole Oster – Impacting Education: Journal on Transforming Professional Practice, 2025
The emergence of generative artificial intelligence (GenAI) fundamentally shifts how educational knowledge is created, shared, and validated. Through the lens of epistemic technologies--tools that transform knowledge creation and dissemination--we analyze how GenAI challenges traditional notions of practical wisdom in education doctorate (EdD)…
Descriptors: Doctoral Programs, Education Majors, Artificial Intelligence, Natural Language Processing
Ayse Merzifonluoglu; Habibe Gunes – European Journal of Education, 2025
Artificial intelligence (AI) is significantly shaping education and currently influencing pre-service teachers' academic and professional journeys. To explore this influence, the present study examines 389 Generation Z pre-service teachers' attitudes towards AI and its impact on educational decision-making at two state universities, using an…
Descriptors: Decision Making, Artificial Intelligence, Teacher Attitudes, Age Groups
Joshua Matthews; Catherine Rita Volpe – Australasian Journal of Educational Technology, 2023
Artificial intelligence (AI) technology, such as Chat Generative Pre-trained Transformer (ChatGPT), is evolving quickly and having a significant impact on the higher education sector. Although the impact of ChatGPT on academic integrity processes is a key concern, little is known about whether academics can reliably recognise texts that have been…
Descriptors: Artificial Intelligence, Natural Language Processing, Identification, Teacher Attitudes
Sanjay Krishnapratap Pawar; Swati Amit Vispute – Journal of Marketing for Higher Education, 2024
The proliferation and increasing significance of AI-enabled voice assistants (AIVAs) for consumer purchase decisions imply the need for a better understanding of their acceptance in the higher education (HE) enrollment context. Using the Grounded Theory (GT) research method and a consumer value perspective, we examine the enrolment decision-making…
Descriptors: Foreign Students, Artificial Intelligence, Technology Uses in Education, College Enrollment
Brendan Bartanen; Andrew Kwok; Andrew Avitabile; Brian Heseung Kim – Grantee Submission, 2025
Heightened concerns about the health of the teaching profession highlight the importance of studying the early teacher pipeline. This exploratory, descriptive article examines preservice teachers' expressed motivation for pursuing a teaching career. Using data from a large teacher education program in Texas, we use a natural language processing…
Descriptors: Career Choice, Teaching (Occupation), Teacher Education Programs, Preservice Teachers
Christopher Dann; Petrea Redmond; Melissa Fanshawe; Alice Brown; Seyum Getenet; Thanveer Shaik; Xiaohui Tao; Linda Galligan; Yan Li – Australasian Journal of Educational Technology, 2024
Making sense of student feedback and engagement is important for informing pedagogical decision-making and broader strategies related to student retention and success in higher education courses. Although learning analytics and other strategies are employed within courses to understand student engagement, the interpretation of data for larger data…
Descriptors: Artificial Intelligence, Learner Engagement, Feedback (Response), Decision Making
Ilker Cingillioglu – Studies in Higher Education, 2024
This study provides an empirical approach to utilizing an Artificial Intelligence (AI)-based system for identifying students' university choice factors that impact their matriculation decision. We created an AI-based chatbot that gathered both qualitative and quantitative data from nearly 1200 participants worldwide. The entire human-AI…
Descriptors: Admission (School), Decision Making, Student Attitudes, College Choice
Lok Ming Eric Cheung; Huiwen Shi – Australian Review of Applied Linguistics, 2024
Publicly available Generative Artificial Intelligence (GenAI) tools are said to liberate students from the instrumental use of English and empower them to write creative texts to communicate with different communities. This paper reports on an undergraduate language-related service-learning subject in a Hong Kong tertiary institution. In the…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Reflection
Lang, David; Wang, Alex; Dalal, Nathan; Paepcke, Andreas; Stevens, Mitchell L. – AERA Open, 2022
Committing to a major is a fateful step in an undergraduate education, yet the relationship between courses taken early in an academic career and ultimate major issuance remains little studied at scale. Using transcript data capturing the academic careers of 26,892 undergraduates enrolled at a private university between 2000 and 2020, we describe…
Descriptors: Undergraduate Students, Majors (Students), College Planning, Natural Language Processing
Durlach, Paula J., Ed; Lesgold, Alan M., Ed. – Cambridge University Press, 2012
This edited volume provides an overview of the latest advancements in adaptive training technology. Intelligent tutoring has been deployed for well-defined and relatively static educational domains such as algebra and geometry. However, this adaptive approach to computer-based training has yet to come into wider usage for domains that are less…
Descriptors: Expertise, Educational Strategies, Semantics, Intelligent Tutoring Systems
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers