PENGARUH PENGGUNAAN LMS DAN ARTIFICIAL INTELLIGENCE TERHADAP MOTIVASI BELAJAR MAHASISWA FEB UNIVERSITAS NEGERI JAKARTA

Abstrak

Perkembangan teknologi digital dan artificial intelligence (AI) telah membawa perubahan signifikan dalam proses pembelajaran di perguruan tinggi. Pemanfaatan media pembelajaran digital dan AI berpotensi meningkatkan motivasi belajar mahasiswa melalui pembelajaran yang lebih interaktif, adaptif, dan relevan dengan kebutuhan abad ke-21. Penelitian ini bertujuan untuk menganalisis pengaruh media pembelajaran digital dan artificial intelligence terhadap motivasi belajar mahasiswa Universitas Negeri Jakarta. Penelitian ini menggunakan pendekatan kuantitatif dengan jenis penelitian eksplanatori. Sampel penelitian terdiri dari 60 mahasiswa aktif Universitas Negeri Jakarta yang dipilih menggunakan teknik purposive sampling. Pengumpulan data dilakukan melalui kuesioner berbasis skala Likert, sedangkan analisis data menggunakan analisis regresi linier berganda. Motivasi belajar diukur berdasarkan ARCS Model of Motivation yang meliputi attention, relevance, confidence, dan satisfaction. Hasil penelitian diharapkan menunjukkan bahwa media pembelajaran digital dan artificial intelligence berpengaruh positif dan signifikan, baik secara parsial maupun simultan, terhadap motivasi belajar mahasiswa. Penelitian ini diharapkan dapat memberikan kontribusi teoritis dalam pengembangan kajian teknologi pembelajaran serta menjadi rekomendasi praktis bagi pendidik dan institusi pendidikan dalam mengoptimalkan pemanfaatan teknologi digital dan AI untuk meningkatkan motivasi belajar mahasiswa.

The rapid development of digital technology and artificial intelligence (AI) has significantly transformed learning processes in higher education. The use of digital learning media and AI has the potential to enhance students’ learning motivation by creating more interactive, adaptive, and relevant learning experiences aligned with 21st-century educational needs. This study aims to analyze the effect of digital learning media and artificial intelligence on the learning motivation of students at Universitas Negeri Jakarta. This research employs a quantitative approach with an explanatory research design. The sample consists of 60 active students selected using a purposive sampling technique. Data were collected through a Likert-scale questionnaire and analyzed using multiple linear regression analysis. Learning motivation was measured based on the ARCS Model of Motivation, which includes attention, relevance, confidence, and satisfaction. The findings are expected to indicate that digital learning media and artificial intelligence have a positive and significant effect, both partially and simultaneously, on students’ learning motivation. This study is expected to contribute theoretically to the field of educational technology and provide practical recommendations for educators and higher education institutions in optimizing the use of digital media and AI to enhance students’ learning motivation.