Iryas, Nabilla Endmal Putri
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Analysis of Factors Causing Student Tardiness and Its Mitigation Efforts in Senior High School Iryas, Nabilla Endmal Putri; Wangkawati, Yustia Syalaisha; Lestari, Jihan Muji; Zen, Ella faridati; Anggraeni, Talitha Syahda
Proceedings Series of Educational Studies 2024: The 3rd International Conference on Educational Management and Technology (ICEMT) 2024
Publisher : Universitas Negeri Malang

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Tardiness is a common issue within educational settings, often exhibited by students who trivialize this habit and continue to practice it without considering its repercussions. They prioritize their desire to remain idle. This study aims to determine: (1) the patterns of tardiness behavior among students at SMA Widyagama Malang, (2) the factors contributing to tardiness among these students, and (3) the school’s measures in handling tardy students. This qualitative research employs a case study design, with subjects comprising four students from SMA Widyagama Malang who frequently exhibit tardiness or truancy. Purposive sampling was used to select the subjects. Data collection methods included interviews and observations. The findings from the four subjects indicate persistent daily tardiness driven by laziness, lack of motivation, and a disinterest in attending school, compounded by insufficient parental involvement in their educational activities. The causes of their tardiness are both internal and external, including personal inclinations and parental responses, which perpetuate this behavior. These findings suggest that addressing student tardiness requires focusing on both internal and external factors. Keywords: discipline; tardiness; intervention
The Role of Artificial Intelligence in Modern Academic Research: A Systematic Review of Contemporary Literature (2015–2025) Kurniawan, Bayu; Wahyuni, Fitri; Sosang, Erin Putri; Iryas, Nabilla Endmal Putri
Suluh: Jurnal Bimbingan dan Konseling Vol. 11 No. 2 (2026): Suluh : Jurnal Bimbingan dan Konseling
Publisher : Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33084/suluh.v11i2.12402

Abstract

Background: The rapid advancement of artificial intelligence (AI) technologies, particularly large language models (LLMs) such as ChatGPT and other AIs, has fundamentally reshaped the landscape of modern academic research, raising both opportunities and critical challenges for higher education institutions worldwide. Aim: This study systematically maps the contexts in which AI has been applied in modern academic research during 2015–2025 and examines how AI has influenced the process and outputs of educational research over the past decade. Method: A Systematic Literature Review (SLR) design was employed, guided by the PRISMA protocol and PICOC framework. A total of 5,106 articles were identified during the initial ScienceDirect database search. Following a rigorous multi-stage screening process based on predefined inclusion and exclusion criteria, 19 articles were selected for final analysis. Results and Discussion: The findings reveal that AI has been applied across a broad and continuously expanding range of academic contexts, including automated writing assessment, citation prediction, AI-generated instructional content, academic integrity evaluation, and AI literacy development in academic libraries, with ChatGPT and similar LLMs serving as the primary catalysts of this expansion from 2022 onward. The influence of AI on educational research processes and outputs is simultaneously accelerative and disruptive: while AI demonstrably enhances efficiency, consistency, and productivity, it also poses serious threats to assessment integrity, authorship norms, and equity of access, particularly for international students and institutions from the Global South. Conclusion: AI is not merely a technical tool but a transformative force that demands systemic, ethical, and pedagogical responses across the entire academic ecosystem, including assessment redesign, integrated AI literacy curricula, and the development of coherent global ethical governance frameworks for AI use in academic research.