Artificial Intelligence, Learning Evaluation, and Teacher Competence in Enhancing Social Studies Quality

Amid rapid technological advancements, improving the quality of primary education remains a critical challenge. The purpose of this study is to determine the influence of Artificial Intelligence (AI), learning evaluation, and teacher competence on the quality of Social Studies instruction. The research used a quantitative design involving 25 sixth-grade students at SD Inpres Barua, Bontolempangan, during the 2024/2025 academic year through total sampling. Data were gathered via questionnaires and analyzed using multiple linear regression, t-tests, and F-tests in SPSS 26. Results revealed that AI, evaluation, and teacher competence significantly and positively affect learning quality both individually and collectively. These findings reinforce the critical role of digital tools and professional teaching standards in fostering more effective and meaningful learning experiences.

Authors

Publication Details

Journal
International Journal of Educational Evaluation and Policy Analysis
Published
2025-04-08
DOI
https://doi.org/10.62951/ijeepa.v2i2.265
Primary Topic
Educational Curriculum and Learning Methods
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial Intelligence, Learning Evaluation, and Teacher Competence in Enhancing Social Studies Quality

Muhammad Fahreza W, Elpisah Elpisah, Syamdani Syamdani
International Journal of Educational Evaluation and Policy Analysis
Educational Curriculum and Learning Methods
article

Artificial Intelligence, Learning Evaluation, and Teacher Competence in Enhancing Social Studies Quality

Muhammad Fahreza W, Elpisah Elpisah, Syamdani Syamdani
article en

Abstract

Amid rapid technological advancements, improving the quality of primary education remains a critical challenge. The purpose of this study is to determine the influence of Artificial Intelligence (AI), learning evaluation, and teacher competence on the quality of Social Studies instruction. The research used a quantitative design involving 25 sixth-grade students at SD Inpres Barua, Bontolempangan, during the 2024/2025 academic year through total sampling. Data were gathered via questionnaires and analyzed using multiple linear regression, t-tests, and F-tests in SPSS 26. Results revealed that AI, evaluation, and teacher competence significantly and positively affect learning quality both individually and collectively. These findings reinforce the critical role of digital tools and professional teaching standards in fostering more effective and meaningful learning experiences.

International Journal of Educational Evaluation and Policy AnalysisVol. 2(2)
Openalex Percentile: Top 70%
Educational Curriculum and Learning Methods
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Artificial Intelligence, Learning Evaluation, and Teacher Competence in Enhancing Social Studies Quality — Muhammad Fahreza W, Elpisah Elpisah, et al. · International Journal of Educational Evaluation and Policy Analysis (2025) | TGRS Research Map | TGRS