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Stephanie Moore; Amir Hedayati-Mehdiabadi; Victor Law; Sung Pil Kang – TechTrends: Linking Research and Practice to Improve Learning, 2024
Early hype cycles surrounding new technologies may promote simplistic binary options of either adoption or rejection, but socio-historical analyses of technologies illuminate how they are worked into shape by human actors. Humans enact agency through many choices that result in adaptations and contextual variations. In this piece, we argue that…
Descriptors: Artificial Intelligence, Natural Language Processing, Man Machine Systems, Ethics
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
Okan Bulut; Tarid Wongvorachan; Surina He; Soo Lee – Discover Education, 2024
Despite its proven success in various fields such as engineering, business, and healthcare, human-machine collaboration in education remains relatively unexplored. This study aims to highlight the advantages of human-machine collaboration for improving the efficiency and accuracy of decision-making processes in educational settings. High school…
Descriptors: High School Students, Dropouts, Identification, Man Machine Systems
Mark Johnson; Rafiq Saleh – Interactive Learning Environments, 2024
Educational assessment is inherently uncertain, where physiological, psychological and social factors play an important role in establishing judgements which are assumed to be "absolute". AI and other algorithmic approaches to grading of student work strip-out uncertainty, leading to a lack of inspectability in machine judgement and…
Descriptors: Artificial Intelligence, Evaluation Methods, Technology Uses in Education, Man Machine Systems
Adiguzel, Tufan; Kaya, Mehmet Haldun; Cansu, Fatih Kürsat – Contemporary Educational Technology, 2023
Artificial intelligence (AI) introduces new tools to the educational environment with the potential to transform conventional teaching and learning processes. This study offers a comprehensive overview of AI technologies, their potential applications in education, and the difficulties involved. Chatbots and related algorithms that can simulate…
Descriptors: Artificial Intelligence, Educational Technology, Barriers, Man Machine Systems
Neumann, Michelle M. – Childhood Education, 2023
Young children are growing up in a digital age that is constantly evolving. They are experiencing new and emerging technologies, such as mobile devices, virtual reality, smart toys, voice-activated assistants, and social robots. This article focuses on exploring what social robots are and how they could disrupt and transform early childhood…
Descriptors: Robotics, Early Childhood Education, Man Machine Systems, Young Children
Lodge, Jason M.; Yang, Suijing; Furze, Leon; Dawson, Phillip – Learning: Research and Practice, 2023
It is becoming apparent that generative AI has significant implications for education. However, previous technologies that have had a large impact, such as calculators, do not provide a suitable model for understanding how generative AI can and will be used in learning. Drawing on research on human-computer interactions, we map out a typology of…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Technology Uses in Education
Park, Ye Sul – Studies in Art Education: A Journal of Issues and Research in Art Education, 2023
Since the advent of the postdigital era, technologies have been dramatically transforming human lives, shifting the ways humans communicate, learn, and create. This article aims to envision how entanglements with nonhuman intelligences can unsettle and reshape pedagogical approaches in the field of art education. I argue for the need to…
Descriptors: Creativity, Artificial Intelligence, Art Education, Man Machine Systems
Muller, Ashley Elizabeth; Ames, Heather Melanie R.; Jardim, Patricia Sofia Jacobsen; Rose, Christopher James – Research Synthesis Methods, 2022
Systematic reviews are resource-intensive. The machine learning tools being developed mostly focus on the study identification process, but tools to assist in analysis and categorization are also needed. One possibility is to use unsupervised automatic text clustering, in which each study is automatically assigned to one or more meaningful…
Descriptors: Artificial Intelligence, Man Machine Systems, Automation, Literature Reviews
Kang, Jin; Girouard, Audrey – ACM Transactions on Computing Education, 2022
Objectives: Internships can bring a host of professional and academic benefits to students. Then, how do User Experience (UX) internships influence Human-Computer Interaction (HCI) graduate students' professional and academic growth? What are the challenges experienced by HCI graduate students during internships? We explored these two research…
Descriptors: Usability, Design, Internship Programs, Man Machine Systems
Kate Powell – Montessori Life: A Publication of the American Montessori Society, 2024
In a span of about three days in the spring of 2023, the author's Instagram feed became inundated with mentions of artificial intelligence (AI), including Chat GPT, text-to-image models, and much more. She would turn on the radio and hear about the controversy surrounding AI, or look at her cousin's social media posts about the injustices of her…
Descriptors: Artificial Intelligence, Teaching Methods, Elementary School Teachers, Montessori Schools
Luke Strickland; Simon Farrell; Micah K. Wilson; Jack Hutchinson; Shayne Loft – Cognitive Research: Principles and Implications, 2024
In a range of settings, human operators make decisions with the assistance of automation, the reliability of which can vary depending upon context. Currently, the processes by which humans track the level of reliability of automation are unclear. In the current study, we test cognitive models of learning that could potentially explain how humans…
Descriptors: Automation, Reliability, Man Machine Systems, Learning Processes
Stefan E. Huber; Kristian Kiili; Steve Nebel; Richard M. Ryan; Michael Sailer; Manuel Ninaus – Educational Psychology Review, 2024
This perspective piece explores the transformative potential and associated challenges of large language models (LLMs) in education and how those challenges might be addressed utilizing playful and game-based learning. While providing many opportunities, the stochastic elements incorporated in how present LLMs process text, requires domain…
Descriptors: Artificial Intelligence, Language Processing, Models, Play
Robin Elizabeth Miller – portal: Libraries and the Academy, 2024
In the year since ChatGPT was released by OpenAI, librarians, instructors, and higher education administrators have grappled with generative artificial intelligence (AI) and its implications for teaching, learning, research, and writing. Drawn from informal conversations, professional observations, discussion groups, and professional development…
Descriptors: Higher Education, Artificial Intelligence, Man Machine Systems, Natural Language Processing
William Orwig; Emma R. Edenbaum; Joshua D. Greene; Daniel L. Schacter – Journal of Creative Behavior, 2024
Recent developments in computerized scoring via semantic distance have provided automated assessments of verbal creativity. Here, we extend past work, applying computational linguistic approaches to characterize salient features of creative text. We hypothesize that, in addition to semantic diversity, the degree to which a story includes…
Descriptors: Computer Assisted Testing, Scoring, Creativity, Computational Linguistics