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Stefanie Panke – Journal of Teacher Education, 2025
The autoethnographic study investigates the transformative impact of generative AI on educational research, instructional design, and teaching practices over a 5-month period (May-October 2024). By integrating AI tools into every phase of the research process, the study examines AI's role as both a research partner and a subject of inquiry. Field…
Descriptors: Ethnography, Artificial Intelligence, Computer Software, Instructional Design
Kyle Redican; Matteo Gonzalez; Beth Zizzamia – Journal of Geography in Higher Education, 2025
ChatGPT, an AI software, has rapidly gained popularity for a wide variety of applications, including educational uses. This research explores the use of ChatGPT to supplement Geographical Information Systems (GIS) coursework creation, to help educators with little experience in GIS. Visualizing sea level rise (SLR) and quantifying the extent of…
Descriptors: Geographic Information Systems, Computer Software, Synchronous Communication, Artificial Intelligence
Tian Luo; Pauline S. Muljana; Xinyue Ren; Dara Young – Educational Technology Research and Development, 2025
The emergence of generative artificial intelligence (GenAI) has caused significant disruptions on a global scale in various workplace settings, including the field of instructional design (ID). Given the paucity of research investigating the impact of GenAI on ID work, we conducted a mixed methods study to understand instructional designers (IDs)'…
Descriptors: Artificial Intelligence, Familiarity, Instructional Design, Brainstorming
William Billingsley – Science & Education, 2025
This article explores the epistemological trade-offs that practical and technology design fields make by exploring past philosophical discussions of design, practitioner research, and pragmatism. It argues that as technologists apply Artificial Intelligence (AI) and machine learning (ML) to more domains, the technology brings this same set of…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Technology Integration
Madhav Sharma; Roger McHaney – Decision Sciences Journal of Innovative Education, 2025
Many management information systems (MIS) faculty have adopted a project-oriented approach in their systems analysis and design courses. In these courses, students use a software development methodology to create a web or mobile application project, which can be based on a predefined case or developed for an external stakeholder. Because most…
Descriptors: Computer Software, Artificial Intelligence, Instructional Design, Computer Science Education
Li Chen; Dirk Ifenthaler; Jane Yin-Kim Yau; Wenting Sun – Education & Training, 2024
Purpose: The study aims to identify the status quo of artificial intelligence in entrepreneurship education with a view to identifying potential research gaps, especially in the adoption of certain intelligent technologies and pedagogical designs applied in this domain. Design/methodology/approach: A scoping review was conducted using six…
Descriptors: Artificial Intelligence, Teaching Methods, Computer Software, Entrepreneurship
Ching-Yi Chang; Chin-Lan Yang; Hsiu-Ju Jen; Hiroaki Ogata; Gwo-Haur Hwang – Educational Technology & Society, 2024
Traditional nursing and health education design courses usually only transfer knowledge via lectures, and lack interaction, drills and personalized feedback. However, the development and widespread adoption of generative artificial intelligence via the ChatGPT system presents an opportunity to address these issues. Some CIDI model-based ChatGPT…
Descriptors: Nursing Education, Health Education, Artificial Intelligence, Technology Uses in Education
Elena Drugova; Irina Zhuravleva; Ulyana Zakharova; Adel Latipov – Journal of Computer Assisted Learning, 2024
Background: Driven by the ongoing need to provide high-quality learning and teaching, universities recently have shown an increased interest in using learning analytics (LA) for improving learning design (LD). However, the evidence of such improvements is scarce, and the maturity of such research is unclear. Objectives: This study is aimed to…
Descriptors: Learning Analytics, Instructional Design, Higher Education, Instructional Improvement
Ling Zhang; Zijun Yao; Arya Hadizadeh Moghaddam – Journal of Teacher Education, 2025
Educator preparation, personalized learning (PL) implementation, and applications of Generative AI converge as three interrelated systems that, when carefully designed, can help achieve the long-sought goal of providing inclusive education for all learners. However, realizing this potential comes with challenges resulting from theoretical…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Faculty Development
Victor K. Y. Chan – International Association for Development of the Information Society, 2023
This article intends to investigate the consistency between a few popular generative AI robots in the evaluation of massive open online course (MOOC) platforms. The four robots experimented with in the study were Claude+, GPT-4, Sage, and Dragonfly, which were tasked with awarding rating scores to the eight major dimensions, namely (1)…
Descriptors: MOOCs, Robotics, Scores, Learning Management Systems
Karolína Dockalová Burská; Jakub Rudolf Mlynárik; Radek Ošlejšek – Education and Information Technologies, 2024
In cyber security education, hands-on training is a common type of exercise to help raise awareness and competence, and improve students' cybersecurity skills. To be able to measure the impact of the design of the particular courses, the designers need methods that can reveal hidden patterns in trainee behavior. However, the support of the…
Descriptors: Computer Science Education, Information Security, Computer Security, Training Methods
Michael Pin-Chuan Lin; Daniel H. Chang; Philip H. Winne – Educational Technology Research and Development, 2025
A chatbot is artificial intelligence software that converses with a user in natural language. It can be instrumental in mitigating teaching workloads by coaching or answering student inquiries. To understand student-chatbot interactions, this study is engineered to optimize student learning experience and instructional design. In this study, we…
Descriptors: Artificial Intelligence, Technology Uses in Education, Man Machine Systems, Computer Mediated Communication
Hasan Zuhtu Okulu; Nilay Muslu – Interactive Learning Environments, 2024
ChatGPT holds significant potential for enhancing learning through integration into education as an advanced chatbot. With the goal of harnessing this potential, our research focused on exploring the utilization of ChatGPT in designing a course plan for pre-service science teachers. We adopted a qualitative research approach and employed ChatGPT…
Descriptors: Preservice Teachers, Science Teachers, Science Instruction, Instructional Design
Micheal M. van Wyk – Open Praxis, 2025
Large language models such as ChatGPT 3.5, Grammarly, and Copilot, to name a few, are referred to as generated artificial intelligence tools (GenAI). These GenAI tools have gained significant popularity in education since their launch. How can teacher education take advantage of the hype around GenAI tools? These AI-generated tools prompted an…
Descriptors: Student Teachers, Teacher Education Programs, Artificial Intelligence, Computer Software
Ethan Prihar; Morgan Lee; Mia Hopman; Adam Tauman Kalai; Sofia Vempala; Allison Wang; Gabriel Wickline; Aly Murray; Neil Heffernan – Grantee Submission, 2023
Large language models have recently been able to perform well in a wide variety of circumstances. In this work, we explore the possibility of large language models, specifically GPT-3, to write explanations for middle-school mathematics problems, with the goal of eventually using this process to rapidly generate explanations for the mathematics…
Descriptors: Mathematics Instruction, Teaching Methods, Artificial Intelligence, Middle School Students