THE USE OF DIGITAL TOOLS AND ARTIFICIAL INTELLIGENCE IN CHESS LESSONS: AN EXPLORATORY STUDY OF STUDENTS’ PERCEPTIONS

This article describes a classroom experience in which digital tools and artificial intelligence were incorporated into school chess lessons and examines how students perceived that experience. The study was carried out at Yerevan Basic School No. 143 named after Movses Khorenatsi. During the teaching period, students worked with interactive digital materials, AI-based tools, videos, and project assignments, including activities created with Canva. At the end of the experience, students completed a questionnaire. The database contained 80 responses, although the number of valid responses to individual questions ranged from 77 to 78. Overall, students responded very positively to the technology-enriched chess lessons. Among those who answered the relevant questions, 94.8% said that they liked or very much liked the lessons; 88.3% reported that digital tools made the chess material much easier and clearer; and 83.1% said that the computer program immediately pointed out an incorrect move and helped them understand the mistake. Project work in Canva or a similar format was described by 81.8% of respondents as very interesting and helpful for remembering the lesson. At the same time, the study did not include a control group, pre- and post-testing of knowledge, or standardized measures. The findings should therefore be interpreted as evidence of students’ perceptions and learning experience rather than as proof of a causal effect of the technologies themselves.

Authors

Publication Details

Journal
Armenian Journal of Special Education
Published
2026-11-04
DOI
https://doi.org/10.24234/se.v10i1.92
Primary Topic
Education and Technology Integration
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

THE USE OF DIGITAL TOOLS AND ARTIFICIAL INTELLIGENCE IN CHESS LESSONS: AN EXPLORATORY STUDY OF STUDENTS’ PERCEPTIONS

Lianna Grigoryan, Armen Avetisyan, Arpine Lputyan
Armenian Journal of Special Education
Education and Technology Integration
article

THE USE OF DIGITAL TOOLS AND ARTIFICIAL INTELLIGENCE IN CHESS LESSONS: AN EXPLORATORY STUDY OF STUDENTS’ PERCEPTIONS

Lianna Grigoryan, Armen Avetisyan, Arpine Lputyan
article en

Abstract

This article describes a classroom experience in which digital tools and artificial intelligence were incorporated into school chess lessons and examines how students perceived that experience. The study was carried out at Yerevan Basic School No. 143 named after Movses Khorenatsi. During the teaching period, students worked with interactive digital materials, AI-based tools, videos, and project assignments, including activities created with Canva. At the end of the experience, students completed a questionnaire. The database contained 80 responses, although the number of valid responses to individual questions ranged from 77 to 78. Overall, students responded very positively to the technology-enriched chess lessons. Among those who answered the relevant questions, 94.8% said that they liked or very much liked the lessons; 88.3% reported that digital tools made the chess material much easier and clearer; and 83.1% said that the computer program immediately pointed out an incorrect move and helped them understand the mistake. Project work in Canva or a similar format was described by 81.8% of respondents as very interesting and helpful for remembering the lesson. At the same time, the study did not include a control group, pre- and post-testing of knowledge, or standardized measures. The findings should therefore be interpreted as evidence of students’ perceptions and learning experience rather than as proof of a causal effect of the technologies themselves.

Armenian Journal of Special EducationVol. 10(1)
Openalex Percentile: Top 8%
Education and Technology Integration
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon