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THE MEDIATING ROLE OF SELF-EFFICACY ON THE EFFECT OF PEER GROUP ON SELF-REGULATED LEARNING Nurrahmatullah, Muh. Fiqri; Waspada, Ikaputera; Mulyani, Heni
Jurnal Pendidikan Ilmu Sosial Vol. 34 No. 2 (2024): JURNAL PENDIDIKAN ILMU SOSIAL
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jpis.v34i2.5152

Abstract

This study aims to determine the role of self-efficacy in mediating peer groups on self-regulated learning. The theory used is Social Cognitive Theory of Self-regulation. The population amounted to 358 students so that the sampling technique amounted to 189 accounting education students of Universitas Pendidikan Indonesia. Data collection using a questionnaire. Data analysis techniques using Structural Equation Modeling (SEM) with Smart PLS 3 because Smart PLS 3 can measure a small population. The results showed that peer group has a positive and significant influence on self-regulated learning, peer group has a positive and significant influence on self-efficacy, self-efficacy has a positive and insignificant effect on self-regulated learning, and self efficacy does not mediate the effect of peer group on self-regulated learning. The benefit of these findings for society is the creation of individuals who are more independent, confident, and able to regulate their own learning. Students who have good self-regulated learning skills and high self-efficacy tend to be more able to face academic and professional challenges more effectively.
Impacts of Artificial Intelligence on Student Learning: A Systematic Literature Review Ambarita, Nita; Nurrahmatullah, Muh. Fiqri
Jurnal VARIDIKA Volume 36 No 1, June 2024
Publisher : Faculty of Teacher Training and Education, Universitas Muhammadiyah Surakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/varidika.v36i1.4730

Abstract

This research presents a systematic literature review on the impact of artificial intelligence (AI) on student learning outcomes. While previous studies have explored various aspects of AI in education, there has been a lack of comprehensive analysis specifically examining its effect on learning outcomes. The objective of this study is to provide a detailed review of the literature on the effects of AI on student learning outcomes from 2013 to 2023, employing the PRISMA methodology. From an initial pool of 1068 papers identified in the Scopus database using defined search criteria, 39 articles were selected for the final analysis. Descriptive data reveal that most of the research focuses on higher education students and aims to enhance cognitive learning outcomes. Despite being grounded primarily in empirical research, the findings suggest that AI has significant potential to enhance educational processes in both schools and universities. This study aims to elucidate how AI can improve the learning experience, identify associated challenges and risks, and underscore the importance of integrating technology into the educational system to elevate the overall quality of learning.