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Ezekiel Dixon-Román – Journal of Educational and Behavioral Statistics, 2024
If psychometrics has long concerned itself with validity, reliability, and fairness, then what could psychometrics learn from the cybernetic theories of AI? Through engagement with Burstein's (2023) Responsible AI Standards, this paper unpacks some paradigmatic differences between psychometrics and cybernetics, points to how recursivity and…
Descriptors: Artificial Intelligence, Psychometrics, Theories, Standards
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Gisella Rossini; Federico Manzi; Cinzia Di Dio; Antonio Iannaccone; Antonella Marchetti; Davide Massaro – European Journal of Psychology of Education, 2025
In the field of educational robotics, it is important to understand the processes trough which child-robot interactions are established during play activities. In terms of socio-material characteristics, robots can vary widely, from more mechanical robots to more anthropomorphic ones. Research has shown that the degree of anthropomorphization of…
Descriptors: Preschool Children, Preschool Education, Toddlers, Robotics
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Müggenburg, Jan – History of Education, 2021
This article analyses how Heinz von Foerster's Biological Computer Laboratory (BCL) translated cybernetic concepts into an experimental pedagogy tailored to the interests of the youth of the American intellectual counterculture. The existing research literature assumes that the opening of BCL to the counterculture in the early 1970s was the result…
Descriptors: Cybernetics, Experimental Teaching, Artificial Intelligence, Research
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Shayan Doroudi – Journal of the Learning Sciences, 2023
When the Learning Sciences emerged in 1991, there was an ethos of studying learning in humans and machines in conjunction with one another. This ethos reflected three decades of prior work on the interdisciplinary study of learning; however, in the three decades since the emergence of the Learning Sciences, it seems to have largely disappeared. I…
Descriptors: Interdisciplinary Approach, Educational Research, Man Machine Systems, Learning Processes
Kishor Datta Gupta – ProQuest LLC, 2021
Defenses against adversarial attacks are essential to ensure the reliability of machine learning models as their applications are expanding in different domains. Existing ML defense techniques have several limitations in practical use. I proposed a trustworthy framework that employs an adaptive strategy to inspect both inputs and decisions. In…
Descriptors: Artificial Intelligence, Cybernetics, Information Processing, Information Security
Shehroze Farooqi – ProQuest LLC, 2021
Popular platforms such as Facebook and Twitter integrate third-party apps from developers to enhance the experience of their users. While third-party apps are widely used to provide legitimate functionality, the abuse of third-party apps by attackers is also becoming prevalent. Attackers are abusing third-party apps to orchestrate their malicious…
Descriptors: Social Media, Computer Security, Crime Prevention, Information Security