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Implementation of AI in Learning Media Development Nuorma Wahyuni; Erlin Setyaningsih; Dila Seltika Canta; Adi Hermawansyah; Sudarman Sudarman
International Journal of Economics, Commerce, and Management Vol. 2 No. 2 (2025): April : International Journal of Economics, Commerce, and Management
Publisher : Asosiasi Riset Ekonomi dan Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijecm.v2i2.663

Abstract

The development of artificial intelligence (AI) in learning media presents challenges related to the uneven readiness of human resources and infrastructure, thus affecting the effectiveness of its implementation. This study aims to examine the effect of AI implementation in learning media development on learning outcomes of students of Faculty of Economics, University of Balikpapan. The method used is quantitative with survey design and Structural Equation Modeling (SEM) analysis using AMOS. The sample consists of 113 students selected by simple random sampling from the population of 376 active students. The results of the analysis showed that the readiness of lecturers and the quality of AI-based learning media had a significant effect on improving student learning outcomes. However, the success of AI implementation is also strongly influenced by infrastructure support and educator training. The findings provide important implications for learning media developers and policy makers to strengthen lecturers' capacity and improve technology infrastructure to support inclusive and sustainable digital transformation of education. In addition, ethical aspects and data privacy should be the main concerns in the development of AI-based learning media.
Integrasi Human-Tech dalam Manajemen Sumber Daya Manusia Mahasiswa untuk Meningkatkan Motivasi dan Disiplin Akademik Perguruan Tinggi Erlin Setyaningsih
MANABIS: Jurnal Manajemen dan Bisnis Vol. 4 No. 4 (2025): Desember 2025
Publisher : Yayasan Pendidikan Penelitian Pengabdian Algero

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/manabis.v4i4.5985

Abstract

This research was conducted to analyse the integration of human and technological aspect in student as human resource management (HRM) to improve academic motivation and discipline in higher education. The rationale of this research is the phenomenon of increasing digitalization of education that has not been fully balanced by character development and the intrinsic motivation of students. This study uses a qualitative descriptive approach with data collection techniques through in-depth interviews, participatory observation, and documentation analysis of students, lecturers, and administrative staff at universities that have implemented technology-based academic management systems. Data analysis was conducted using the interactive model of Miles, Huberman, and Saldaña which includes data reduction, data presentation, as well as drawing conclusions and verification. The results of the study indicate that the implementation of technology such as Learning Management System (LMS) and academic monitoring systems has a positive impact on the efficiency and accessibility of information, but its success is greatly influenced by intrinsic motivation and discipline of students. Effective human-tech integration requires a balance between technological innovation and character development through mentoring, coaching, and interpersonal feedback. The study's conclusion confirms that the success of human-tech-based student human resource management is determined not only by technological advancements, but also by the university's ability to build a humane, communicative academic environment that is oriented toward strengthening disciplinary values ​​and fostering sustainable learning motivation.