The results indicate a positive association between the utilization of GenAI tools and enhanced academic performance, most notably in the comprehension of complex programming concepts.
Abstract
This study examines the influence of generative artificial intelligence (GenAI) on the academic performance of computer science students. With particular emphasis on coding proficiency, the research explores the ways in which GenAI tools affect student engagement, motivation, and the cultivation of problem-solving competencies. Data were gathered through survey instruments administered to students and teaching assistants within a higher education institution. The results indicate a positive association between the utilization of GenAI tools and enhanced academic performance, most notably in the comprehension of complex programming concepts. Nevertheless, the findings also draw attention to concerns regarding excessive dependence on such tools, as well as potential challenges related to academic integrity. This study underscores the importance of achieving a balanced integration of GenAI within educational frameworks in order to optimize its benefits while minimizing associated risks
This document outlines the conceptual, theoretical, and methodological underpinning of the AI-Augmented Pedagogy Integration Model (AAPIM), which has now been further supported by a growing evidence base of 2025–2026 meta-analyses and systematic reviews.
Ahnaf Afsin, Rumaysha Tahan Towaa, Kasif Suhail Ayate et al.· Frontiers in Computer Scienc...· 0 citations
The article focuses on examining the impact of artificial intelligence (AI) technologies on the process of teaching English in higher education and identifying the prospects for their effective integration into educational practice, particularly for students of STEM specialties. The authors consider a range of modern A...
Zh. Tentekbayeva, A. Mosavi· Buketov Language Review· 0 citations
The rapid development of the concept of artificial intelligence (AI) has increasingly encouraged its integration into higher education. Choices regarding the adoption of AI should consider also the perspectives of students, as primary beneficiaries of academic training. This study reports the findings of a survey based...
V. Zichil, Venera-Mihaela Cojocariu, Cristina Cîrtiță-Buzoianu· Revista Romaneasca pentru Ed...· 0 citations
The article examines the complex nature of student’s learning difficulties in mathematics at a technical university. Based on a review of domestic and international literature, a multi-component structure of these barriers is identified, including cognitive, operational, and affective components. The author developed a...
I. Bulan· THE TIDINGS of the Baltic St...· 0 citations
Abstract
The development of Generative Artificial Intelligence (Gen-AI) has influenced students’ learning patterns, including in mathematics education at the university level. This study aims to analyze the perceptions of students in the Mathematics Education Program at Universitas Muhammadiyah Kotabumi regard...
Adji W. S. Minadja, Karsoni Berta Dinata, Gigih Aditiya et al.· Eksponen· 0 citations
This paper presents the development and initial validation of an instrument to measure self-efficacy while using GenAI to learn programming, and finds strong support for the validity of the existing Steinhorst instrument in a new context, specifically an introductory programming course that fully integrates GenAI.
J. Prather, Lauren E. Margulieux, Yekaterina Kharitonova et al.· International Computing Educ...· 0 citations
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