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Senapati, Biswaranjan – ProQuest LLC, 2023
A neurological disorder, along with several behavioral issues, may be to blame for a child's subpar performance in the academic journey (such as anxiety, depression, learning disorders, and irritability). These symptoms can be used to diagnose children with ASD, and supervised machine learning models can help differentiate between ASD traits and…
Descriptors: Artificial Intelligence, Educational Technology, Autism Spectrum Disorders, Models
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McStay, Andrew – Learning, Media and Technology, 2020
Education Technology (EdTech) companies are deploying emotional AI to quantify social and emotional learning. Focusing on facial coding emotional AI that uses computer vision and algorithms to see, recognise, categorise and learn about facial expressions of emotion, this paper evaluates nascent usage of these technologies in education. To do this,…
Descriptors: Educational Technology, Artificial Intelligence, Affective Behavior, Nonverbal Communication
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Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals
Thornburg, David D. – A+: The Independent Guide to Apple Computing, 1986
Reviews Logo programming language's developmental history, including Papert's vision, creation of LISP, and evolution of Logo from LISP; discusses reasons for Logo not becoming a commonplace programming language; describes Logo program design and its utility for serious programmers; and lists sources of further information on Logo. (MBR)
Descriptors: Adults, Artificial Intelligence, Children, Computer Graphics