Application of artificial intelligence methods in the school educational process
Bibliographic Data
| ID | 21652062 |
|---|---|
| Authors | M Yu Kataev (0000-0002-7710-5463, Department of Control Systems Tomsk State University of Control Systems and Electronics Tomsk Russia), Larisa Bulysheva (0000-0001-5360-3460, Department of Information Technology and Decision Sciences Old Dominion University Norfolk VA USA, corresponding author), Andrew Mosiaev (Department of High processing calculations ITMO Saint Petersburg Russia) |
| Year | 2022 |
| Volume | 39 |
| Issue | 3 |
| Pages | 531-541 |
| Publication date | 2022-05-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Systems Research and Behavioral Science (JOURNAL) |
| Journal identifiers | ISSN: 1092-7026 • E-ISSN: 1099-1743 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/sres.2873 |
| OpenAlex | W4281890472 |
| Language | EN |
| Citations received | 2 |
| References cited | 32 |
This paper discusses the factors affecting quality of school educational process. It describes the application of artificial intelligence approaches (neural networks) into the educational process. The analysis of methods for tracking changes in the position of the head while studying at school or at home is presented. The results obtained make it possible to evaluate the psycho‐physiological, psycho‐emotional state of primary school students in the process of interacting with a computer when performing educational tasks. The goal is to create computer tools that monitors changes in head position using images from a laptop or tablet digital camera. This article presents the stages of developing a neural network for assessing head turns when performing a school assignment and the results of applying the program. A new tool is proposed for assessing the state of a student in the learning process, to determine the ability to perceive different types of educational information
Artificial neural network · Human–computer interaction · Laptop · Pedagogy · Artificial Intelligence in Education · Computer Science · Engineering Education and Technology · Psychology · Technology and Human Factors in Education and Health · Artificial Intelligence
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| Citations per year | 0.5 |
|---|---|
| Citation span | 2022 - 2026 (5) |
| Highly cited | No |