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Austin Wyman; Zhiyong Zhang – Grantee Submission, 2025
Automated detection of facial emotions has been an interesting topic for multiple decades in social and behavioral research but is only possible very recently. In this tutorial, we review three popular artificial intelligence based emotion detection programs that are accessible to R programmers: Google Cloud Vision, Amazon Rekognition, and…
Descriptors: Artificial Intelligence, Algorithms, Computer Software, Identification
Ignatz, Mila E.; Ignatz, Milton – 1987
There are many problems involved in upgrading scientific literacy in high schools: poorly qualified teachers, the lack of good instructional materials, and economic and academic disadvantages all contribute to the problem. This document describes a project designed to increase the opportunities available to the high school science student to…
Descriptors: Ability Identification, Academically Gifted, Black Students, Computer Simulation
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Berghel, H. L.; Sallach, David L. – Journal of Educational Computing Research, 1985
Discusses two alternative metrics to detect computer software plagiarism: the Halstead metric drawn from the software science discipline and an ad hoc method drawn from program grading experience and identified by factor analysis. Possible explanations as to why the ad hoc method is more useful in identical-task environments are considered.…
Descriptors: Computer Oriented Programs, Computer Software, Design, Factor Analysis
Majsterek, David – 1985
The proposal put forward in this presentation centers on the use of the microcomputer for the generation of educational research, both as a powerful tool for information collection and as a means for analyzing the generated data. The microcomputer-based laboratory (MBL) principles described in this paper may be used in rural classroom settings as…
Descriptors: Computer Graphics, Computer Software, Data Collection, Educational Research
ERIC Clearinghouse on Handicapped and Gifted Children, Reston, VA. – 1987
Summarized are two reports of a federally funded project on the use of artificial intelligence in special education. The first report, "Artificial Intelligence Applications in Special Education: How Feasible?," by Alan Hofmeister and Joseph Ferrara, provides information on the development and evaluation of a series of prototype systems…
Descriptors: Artificial Intelligence, Behavior Problems, Classification, Computer Assisted Instruction