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Showing 1 to 15 of 157 results Save | Export
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Nicholas Smith; Darby Vickers – Theory and Research in Education, 2024
Artificial intelligence technologies have become a ubiquitous part of human life. This prompts us to ask, "how should we live well with artificial intelligence?" Currently, the most prominent candidate answers to this question are principlist. According to these approaches, if you teach people some finite set of principles or convince…
Descriptors: Artificial Intelligence, Moral Values, Ethics, Philosophy
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Kumar, Rahul – International Journal for Educational Integrity, 2023
This paper presents the case of an adjunct university professor to illustrate the dilemma of using artificial intelligence (AI) technology to grade student papers. The hypothetical case discusses the benefits of using a commercial AI service to grade student papers--including discretion, convenience, pedagogical merits of consistent feedback for…
Descriptors: College Faculty, Artificial Intelligence, Grading, Research Papers (Students)
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Irene Kahvazadeh; Edwin Jose; Alvis C. Fong; Ajay K. Gupta; Steve M. Carr; Shameek Bhattacharjee; Michael Harnar – Education and Information Technologies, 2024
Information systems are increasingly using artificial intelligence (AI). However, AI can be tricked into misbehaving, showing bias, or committing abuse. The root causes of these errors and uncertainties can be hidden away while parallelizing AI algorithms on high-performance computing (HPC) infrastructure. The project outlined in this paper aims…
Descriptors: Curriculum Development, Experiential Learning, Learning Readiness, Artificial Intelligence
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Jordan M. Blanke – Journal of Legal Studies Education, 2024
Generative artificial intelligence (generative AI) applications such as ChatGPT and its brethren erupted onto the scene last year and have been quite a disruptor throughout higher education. Like much new technology, generative AI brings with it benefits and challenges. This note focuses on early experiences with ChatGPT, attempts to learn how to…
Descriptors: Artificial Intelligence, Higher Education, Technology, Evaluation Methods
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Tao Fu; Yonghan Ji – SAGE Open, 2024
Using the Triple Helix model, this study explores the government-university relationship in the context of China's AI talent development, and their outcomes in terms of AI program deployment, enrollment and faculty. Their interaction may best be summarized as a model of government pull and university response, but with more support and autonomy…
Descriptors: Government Role, Universities, Artificial Intelligence, Talent Development
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Lori L. Montalbano; Sharon Stoerger – Assessment Update, 2025
The post-pandemic expectations of today's students require greater innovation in teaching and learning. Rapidly changing technologies and software applications will drastically change how higher education is structured and disseminated. In this article, the authors examine the use of micro-credentialing, the potential and challenges of Artificial…
Descriptors: Artificial Intelligence, Teaching Methods, Evaluation Methods, Educational Trends
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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
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Yang Zhong; Mohamed Elaraby; Diane Litman; Ahmed Ashraf Butt; Muhsin Menekse – Grantee Submission, 2024
This paper introduces REFLECTSUMM, a novel summarization dataset specifically designed for summarizing students' reflective writing. The goal of REFLECTSUMM is to facilitate developing and evaluating novel summarization techniques tailored to real-world scenarios with little training data, with potential implications in the opinion summarization…
Descriptors: Documentation, Writing (Composition), Reflection, Metadata
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Changyu Yang; Adam Stivers – Journal of Education for Business, 2024
The rapid advancement of artificial intelligence (AI) has given rise to sophisticated language models that excel in understanding and generating human-like text. With the capacity to process vast amounts of information, these models effectively tackle problems across diverse domains. In this paper, we present a comparative analysis of prominent AI…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Comparative Analysis
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Zuleika Suliman; Ntshimane Elphas Mohale; Kgabo Bridget Maphoto; Kershnee Sevnarayan – Discover Education, 2024
The interconnectedness of African philosophical principles of Ubuntu with generative artificial intelligence may provide an inclusive approach to distance higher education. This fusion may improve and provide customised learning, access quality education, collaboration, inclusivity, strengthens lecturer support and development, and a culturally…
Descriptors: Foreign Countries, Artificial Intelligence, Higher Education, Distance Education
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Zembylas, Michalinos – Learning, Media and Technology, 2023
The aim of this article is to use decolonial thinking, as applied in the field of AI, to explore the ethical and pedagogical implications for higher education teaching and learning. The questions driving this article are: What does a decolonial approach to AI imply for higher education teaching and learning? How can educators, researchers and…
Descriptors: Decolonization, Artificial Intelligence, Higher Education, College Instruction
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M. Nazir; A. Noraziah; M. Rahmah – International Journal of Virtual and Personal Learning Environments, 2023
An effective educational program warrants the inclusion of an innovative construction that enhances the higher education efficacy in such a way that accelerates the achievement of desired results and reduces the risk of failures. Educational decision support system has currently been a hot topic in educational systems, facilitating the pupil…
Descriptors: Data Analysis, Academic Achievement, Artificial Intelligence, Prediction
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Jacqueline Corcoran; Malitta Engstrom; Kate Ledwith; Gerard Jefferies; Tamara J. Cadet – Journal of Teaching in Social Work, 2025
Competency-based education in social work (CSWE, 2022) demands active learning methods that demonstrate professional competencies and practice behaviors. Role-plays and simulations are methods that link learning in the classroom with practice. This article explores role-play and simulation variants: basic role-play, real play, student-scripted…
Descriptors: Role Playing, Simulation, Social Work, Competency Based Education
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James W. Drisko – Journal of Teaching in Social Work, 2025
The rise of AI generated texts offers promise but creates new challenges for social work teaching. A recent survey found that 89% of higher education students used AI on their homework. AI generated text may be difficult to distinguish from a student's own work, yet are being submitted as the student's own work. This poses new challenges to…
Descriptors: Plagiarism, Social Work, Counselor Training, Artificial Intelligence
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Eui-Chul Jung; Meile Le – IAFOR Journal of Education, 2024
Interpreting and incorporating machine learning technology from a human perspective helps define the role of product designers in the era of artificial intelligence. With this background, this study developed a 7-week design course about machine learning-based product design. Subsequently, in Fall 2023, a class with seven undergraduate students…
Descriptors: Curriculum Development, Man Machine Systems, Artificial Intelligence, Merchandise Information
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