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Knox, Jeremy; Williamson, Ben; Bayne, Sian – Learning, Media and Technology, 2020
This paper examines visions of 'learning' across humans and machines in a near-future of intensive data analytics. Building upon the concept of 'learnification', practices of 'learning' in emerging big data-driven environments are discussed in two significant ways: the "training" of machines, and the "nudging" of human…
Descriptors: Data Collection, Data Analysis, Artificial Intelligence, Man Machine Systems
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Schmader, Christopher; Horton, William S. – Discourse Processes: A Multidisciplinary Journal, 2019
Speakers in conversation often tailor referring expressions in ways that reflect beliefs about the knowledge and perspectives of specific addressees. In this study we examined whether such audience design can influence speakers' conceptualizations of referents beyond the conversation. In a Wizard-of-Oz paradigm, participants identified novel…
Descriptors: Audience Awareness, Audience Analysis, Design, Man Machine Systems
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Lundtofte, Thomas Enemark; Odgaard, Ane Bjerre; Skovbjerg, Helle Marie – Global Studies of Childhood, 2019
This article explores 4- to 7-year-old children's tablet computer (tablet) use, drawing on empirical data from day-care institutions, primary schools and private home settings in Denmark. Data were gathered via video observations in two different studies: (a) a media ethnography on children's tablet play practices in home settings and (b) a…
Descriptors: Foreign Countries, Young Children, Computer Use, Handheld Devices
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Abendschein, Bryan; Edwards, Chad; Edwards, Autumn; Rijhwani, Varun; Stahl, Jasmine – Journal of Communication Pedagogy, 2021
Technology encourages collaboration in creative ways in the classroom. Specifically, social robots may offer new opportunities for greater innovation in teaching. In this study, we combined the established literature on co-teaching teams with the developing field of machine actors used in education to investigate the impressions students had of…
Descriptors: Interpersonal Communication, Robotics, Team Teaching, Student Attitudes
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Siegle, Del – Gifted Child Today, 2023
This article explores the potential uses of AI in gifted education programs. Gifted students often have unique learning characteristics and require specialized program services. The use of AI can provide advanced content, personalized learning, creative writing and image manipulation, critical thinking and problem-solving, collaboration, research…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Gifted Education
Shah, Priten – Jossey-Bass, An Imprint of Wiley, 2023
Among teachers, there is a cloud of rumors, confusion, and fear surrounding the rise of artificial intelligence. "AI and the Future of Education" is a timely response to this general state of panic, showing you that AI is a tool to leverage, not a threat to teaching and learning. By understanding what AI is, what it does, and how it can…
Descriptors: Artificial Intelligence, Futures (of Society), Teaching (Occupation), Ethics
American Association of Colleges and Universities, 2024
Humanity is building exciting new partnerships with technology in the artificial intelligence age. Careers and work are rapidly being transformed and many of the jobs of tomorrow have not yet been invented. Students should make it their goal to become skilled in using AI comfortably, effectively, safely and ethically. Learn AI's capabilities and…
Descriptors: College Students, Student Experience, Technology Uses in Education, Artificial Intelligence
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Xinghua Wang; Hui Pang; Matthew P. Wallace; Qiyun Wang; Wenli Chen – Computer Assisted Language Learning, 2024
This study investigated the application of an artificial intelligence (AI) coach for second language (L2) learning in a primary school involving 327 participants. In line with Community of Inquiry, learners were expected to perceive social, cognitive, and teaching presences when interacting with the AI coach, which was considered a humanized…
Descriptors: Artificial Intelligence, Second Language Instruction, Second Language Learning, Student Attitudes
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Smith, Bevan I.; Chimedza, Charles; Bührmann, Jacoba H. – International Journal of Artificial Intelligence in Education, 2020
Identifying students at risk of failing a course has potential benefits, such as recommending the At-Risk students to various interventions that could improve pass rates. The challenges however, are firstly in measuring how effective these interventions are, i.e. measuring treatment effects, and secondly, to not only predict overall (average)…
Descriptors: Artificial Intelligence, Man Machine Systems, Probability, Scoring
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Chen, Fu; Cui, Ying; Chu, Man-Wai – International Journal of Artificial Intelligence in Education, 2020
The purpose of this case study is to demonstrate how to utilize machine learning approaches to analyze student process data for validating and informing digital game-based assessments (DGBAs) with an evidence-centered game design (ECgD). The first analysis was conducted to examine whether students' mastery of the overall skill required by the game…
Descriptors: Game Based Learning, Learning Analytics, Design, Evidence Based Practice
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Scialdone, Michael J.; Connolly, Amy J. – Journal of Information Systems Education, 2020
Given the ubiquity of interfaces on computing devices, it is essential for future Information Systems (IS) professionals to understand the ramifications of good user interface (UI) design. This article provides instructions on how to efficiently and effectively teach IS students about "fit," a Human-Computer Interaction (HCI) concept,…
Descriptors: Computer Science Education, Information Systems, Teaching Methods, Computer Interfaces
Yanagiura, Takeshi – Community College Research Center, Teachers College, Columbia University, 2020
Among community college leaders and others interested in reforms to improve student success, there is growing interest in adopting machine learning (ML) techniques to predict credential completion. However, ML algorithms are often complex and are not readily accessible to practitioners for whom a simpler set of near-term measures may serve as…
Descriptors: Community Colleges, Man Machine Systems, Artificial Intelligence, Prediction
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Sicart, Miguel – American Journal of Play, 2018
The author proposes a rhetoric of computational play as a perspective for the analysis of the ludic in the Information Age. Combining concepts from the philosophy of information and postphenomenology with different theories of play, he argues that there is a play element shaping the cultural impact of computational media and that this kind of play…
Descriptors: Computer Use, Play, Computation, Information Science
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Ng, Oi-Lam – International Journal of Science and Mathematics Education, 2019
In this paper, I introduce Sfard's discursive framework to examine secondary-school calculus students' communication during exploratory activities mediated by the use of touchscreen dynamic geometry environments (DGEs). Six pairs of secondary-school students participated in an open-ended task to explore calculus relationships using…
Descriptors: Secondary School Students, Calculus, Geometry, Computer Mediated Communication
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Guney, Zafer – Cypriot Journal of Educational Sciences, 2019
The purpose of this study is to discuss approaches for developing human-computer interaction (HCI) in educational technology (ET) based on definitions of visual design, learning variables and user-interface design principles in the field of instructional design and technology (IDT). We will do in several stages, first, we will review historical…
Descriptors: Man Machine Systems, Computer Interfaces, Computer System Design, Instructional Design
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