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All Journal Jurnal MediaTIK Journal of Vocational, Informatics and Computer Education
Raudhatul S. Firzanah
Universitas Negeri Makassar
Computer Science & IT Education Social Sciences Other

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Analisis Model Extended TAM Untuk Mengetahui Tingkat Penggunaan E-Learning Mahasiswa Teknik Sitti Hasbiah; Raudhatul S. Firzanah; Muhammad Muhajirin Chinsa; Andi Ardiansyah Sonda; Winria Putri Intia
Journal of Vocational, Informatics and Computer Education Vol 2, No 1 (2024): Juni 2024
Publisher : Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/voice.v2i1.26

Abstract

Penelitian ini bertujuan untuk menganalisis tingkat penggunaan E-Learning di kalangan mahasiswa Teknik dengan menggunakan Model Extended TAM. Konteks permasalahan muncul karena pentingnya integrasi teknologi dalam pendidikan tinggi dan kebutuhan untuk memahami faktor-faktor yang memengaruhi penerimaan E-Learning. Metode penelitian melibatkan sampel mahasiswa Teknik, dengan instrumen penelitian berupa kuesioner berdasarkan Model Extended TAM. Teknik analisis data menggunakan pendekatan statistik untuk mengidentifikasi hubungan antara variabel- variabel dalam model. Hasil penelitian memberikan wawasan mendalam tentang faktor-faktor yang mempengaruhi tingkat penerimaan E-Learning di kalangan mahasiswa Teknik. Kesimpulan utama menyoroti kontribusi penelitian ini terhadap pemahaman praktis dan teoritis dalam konteks penggunaan teknologi dalam pendidikan tinggi. Abstrak ini dirancang untuk mencerminkan esensi penelitian secara ringkas dan faktual, memastikan bahwa pembaca dapat memahami kontribusi dan implikasi penelitian tanpa merinci referensi atau singkatan yang tidak umum.
Analysis of ChatGPT Dependence and Its Use as a Learning Tool among Generation Z Students Raudhatul S. Firzanah; Zulhajji
Jurnal MediaTIK Volume 9, Issue 3 September 2026
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/mediatik.v9i3.15082

Abstract

The growing integration of generative artificial intelligence in higher education has created new opportunities for learning while also raising concerns about students’ increasing reliance on AI-based tools. ChatGPT is widely used to explain complex concepts, generate ideas, support academic tasks, and provide feedback, making it important to distinguish productive utilization from technological dependence. This study aimed to examine the level of ChatGPT dependence among Generation Z students and to describe how ChatGPT is utilized as a learning tool. A quantitative descriptive design was employed with 102 students selected through proportional stratified random sampling. Data were collected using a structured questionnaire measuring ChatGPT dependence and learning-related utilization and were analyzed using descriptive statistics. The results showed that students’ dependence on ChatGPT was heterogeneous, with moderate dependence emerging as the most frequent category while a notable proportion of students also demonstrated higher levels of reliance. In contrast, ChatGPT utilization as a learning tool was more concentrated at the moderate level, indicating that regular academic use does not necessarily reflect an equivalent level of dependence. These findings highlight an important conceptual distinction between utilization and dependence, as students may use ChatGPT frequently while still maintaining control over their learning, verifying information, and completing tasks independently. The results also suggest that dependence should be understood not only through frequency of use but also through perceived need, learning reliance, and the ability to regulate AI use. The study concludes that higher education institutions should strengthen AI literacy, self-regulation, critical evaluation, and responsible use so that ChatGPT supports learning without replacing students’ independent reasoning, academic judgment, and autonomy.
Co-Authors Andi Ardiansyah Sonda Muhammad Muhajirin Chinsa Sitti Hasbiah Winria Putri Intia Zulhajji