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Te Hu; Zongmin Fu; Niya Wang; Jinbin Gui; Qinghe Song; Xiaofan Qian – Education and Information Technologies, 2025
Digital image processing is an integral part of the computer vision field. However, traditional digital image processing teaching methods mainly focus on theoretical knowledge, lacking practical teaching content. To address this issue, this article proposes a project-based learning (PBL) model that consists of four key stages: project proposal,…
Descriptors: Student Projects, Active Learning, Models, Computer Uses in Education
Erhan Elmaoglu; Adnan Batuhan Coskun; Selda Yüzer Alsaç – American Journal of Health Education, 2024
Recent years have seen growing interest in the potential contributions of Artificial Intelligence (AI)-based technologies to children's health education. Specifically, ChatGPT, a language processing model developed by OpenAI, represents a significant advancement in this field. By presenting child health-related information in an understandable and…
Descriptors: Artificial Intelligence, Health Education, Educational Technology, Barriers
Samantha R. Goldman; Adam Carreon; Sean J. Smith – Journal of Special Education Preparation, 2024
With the introduction of artificial intelligence (AI), specifically generative AI and large language models (e.g., ChatGPT, Google Gemini), into education, there is a conversation regarding what knowledge teachers still need and will need moving forward. In this article, we describe how AI can, and should, be aligned to the Technological…
Descriptors: Special Education Teachers, Teacher Education Programs, Technological Literacy, Pedagogical Content Knowledge
Graduate Management Admission Council, 2024
This Deans Summary highlights the key findings of the "Application Trends Survey: 2024 Report. Market Intelligence," which provides the world's graduate business schools with data and insights to understand current trends in applications sent to graduate management education (GME) programs. The summary report begins with information from…
Descriptors: College Applicants, Business Education, Graduate Study, Masters Programs
Peer reviewedIshrat Ahmed; Paul Alvarado; Siddharth Jain; Tracy Arner; Elizabeth Reilley; Danielle S. McNamara – Grantee Submission, 2025
The rapid evolution of artificial intelligence (AI) has created an unprecedented opportunity for innovation across industries, but its complexity often presents a steep learning curve for many (Roberts & Candi, 2024; Gunner, 2025). This highlights the need for user-friendly tools that bridge the gap between AI's potential and its practical…
Descriptors: State Universities, Artificial Intelligence, Usability, Innovation
Cesare Giulio Ardito – New Directions for Teaching and Learning, 2025
This chapter presents a critical analysis of generative AI (GenAI) detection tools in higher education assessments. The rapid advancement and widespread adoption of GenAI, particularly in education, necessitates a reevaluation of traditional academic integrity mechanisms. I explore the effectiveness, vulnerabilities, and ethical implications of AI…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Identification
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
Jiyeon Park; Sam Choo – Journal of Special Education Technology, 2025
Generative AI, such as ChatGPT, produces personalized and contextually relevant content based on user prompts (inputs provided by users). These prompts act as the primary form of interaction between users and AI models, making their quality essential for generating the most relevant outputs. The process of writing, refining, and optimizing…
Descriptors: Artificial Intelligence, Technology Uses in Education, Prompting, Relevance (Education)
Yushan Kuerban; Solomon Sunday Oyelere; Ismaila Temitayo Sanusi – International Journal of Technology in Education and Science, 2025
Dyslexia is a learning disability that significantly hinders students' abilities to read and comprehend educational materials, posing a substantial challenge within educational environments. This paper introduces an innovative educational system, ReadSmart, that integrates both Augmented Reality (AR) and Generative Artificial Intelligence (GenAI)…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Computer Simulation
Board of Governors, State University System of Florida, 2024
The Accountability Plan is an annual report that is closely aligned with the Board of Governors' 2025 System Strategic Plan. This report enhances the System's commitment to accountability and strategic planning by fostering greater coordination between institutional administrators, University Boards of Trustees and the Board of Governors regarding…
Descriptors: State Universities, Accountability, Educational Finance, Enrollment
Jennifer Gunn – English in Texas, 2024
This paper considers the impact of technological processes on human thought, specifically the implications of artificial intelligence (AI) on writing instruction. The main purpose of this paper is to present instructional considerations that will elevate human voice and reduce student temptations to turn to AI unreasonably to produce a piece of…
Descriptors: Artificial Intelligence, Technology Uses in Education, Writing Instruction, Developmental Studies Programs
James Hutson; T. J. Rains – Routledge, Taylor & Francis Group, 2024
This book delineates a comprehensive framework designed to ultimately assist organizations as they navigate the critical juncture--often termed the inflection point--in adopting generative Artificial Intelligence (AI). Addressing the exigent shift in organizational strategy mandated by Industry 4.0, and urging a transition from mere digital…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Change, Business
Graduate Management Admission Council, 2025
For more than a decade, the GMAC Prospective Students Survey (PSS) has provided the world's graduate business schools with critical insights into the decision-making processes of people actively applying to, considering, or researching graduate management education (GME) programs. This year's report, summarized in this report, considers data…
Descriptors: Business Schools, Business Education, Graduate Students, Student Financial Aid
Mahmoud Mohammad Sayed Abdallah – Online Submission, 2025
This article introduces my C.H.A.T.S. model (Conversational, Holistic, Authentic, Transformative, Situated), a novel pedagogical framework I designed to revolutionize language learning and teaching through the strategic integration of Artificial Intelligence (AI) and conversational chatbots with established learning theories. The model addresses…
Descriptors: Models, Artificial Intelligence, Second Language Learning, Learning Theories
Venkatasubramanian, Venkat – Chemical Engineering Education, 2022
The motivation, philosophy, and organization of a course on artificial intelligence in chemical engineering is presented. The purpose is to teach undergraduate and graduate students how to build AI-based models that incorporate a first principles-based understanding of our products, processes, and systems. This is achieved by combining…
Descriptors: Artificial Intelligence, Chemical Engineering, College Students, Teaching Methods

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