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Bahar Memarian; Tenzin Doleck – Education and Information Technologies, 2024
There is a need to conceptualize a multidimensional taxonomy for learner-AI interaction. This conceptual/perspective article shares recent work on AI learner education and further presents new conceptions for a multidimensional taxonomy for learner-AI interaction. A review of the literature is conducted (N = 11). Open coding is used to summarize…
Descriptors: Journal Articles, Artificial Intelligence, Taxonomy, Man Machine Systems
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Graham B. Slater – Review of Education, Pedagogy & Cultural Studies, 2024
Accelerating digitization, algorithmic computation, artificial intelligence, and machine learning, along with the increasing automation of work, communication, and everyday life, are central to critical studies of technology and political economy, as well as to public discourse concerning technology's role in creating futures. Ongoing…
Descriptors: Algorithms, Anxiety, Artificial Intelligence, Man Machine Systems
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Jae Q. J. Liu; Kelvin T. K. Hui; Fadi Al Zoubi; Zing Z. X. Zhou; Dino Samartzis; Curtis C. H. Yu; Jeremy R. Chang; Arnold Y. L. Wong – International Journal for Educational Integrity, 2024
The application of artificial intelligence (AI) in academic writing has raised concerns regarding accuracy, ethics, and scientific rigour. Some AI content detectors may not accurately identify AI-generated texts, especially those that have undergone paraphrasing. Therefore, there is a pressing need for efficacious approaches or guidelines to…
Descriptors: Artificial Intelligence, Investigations, Identification, Human Factors Engineering
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Demmans Epp, Carrie; McEwen, Rhonda; Campigotto, Rachelle; Moffatt, Karyn – Education and Information Technologies, 2016
A framework connecting concepts from user interface design with those from information studies is applied in a study that integrated a location-aware mobile application into two special education classes at different schools; this application had two support modes (one general and one location specific). The five-month study revealed several…
Descriptors: Special Education, Computer Interfaces, Usability, Information Processing
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Jackson, Gregory A. – EDUCAUSE Review, 2007
For most of the past decade, IT leaders in higher education felt on top of things. Challenges were usually comprehensible and addressable, doing reasonable things yielded reasonable results, and for the most part, IT was a substantial contributor to institutional progress. But these days, IT leaders rarely feel on top of things. Instead, some days…
Descriptors: Higher Education, Coping, Information Technology, Technology Integration
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Coldeway, Dan O. – Industry & Higher Education, 2002
Data from three graduate programs using advanced learning technologies (ALTs) identified important human factors issues in technology use in three categories: learners (needs, skills, support, and motivation related to ALTs); faculty (attitudes, skills, support, and motivation related to ALTs); and technical staff (methods of providing assistance,…
Descriptors: Educational Technology, Higher Education, Human Factors Engineering, Man Machine Systems
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Isman, Aytekin – Turkish Online Journal of Educational Technology - TOJET, 2003
This article begins by drawing on literature to examine the various definitions of "technology" and "technique." Following a discussion of the origin of technology in education, the remaining sections of the article focus on the relationships and interaction between: (1) machines and technique; (2) science and technique; (3)…
Descriptors: Technology, Technology Uses in Education, Man Machine Systems, Human Factors Engineering