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Badarudin
Universitas Hamzanwadi
Religion Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Economics, Econometrics & Finance Education Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Physics Public Health Social Sciences Other

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Journal : Journal for Lesson and Learning Studies

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The Effect of AI (Artificial Intelligence) in Education on Student Motivation: A Systematic Literature Review Badarudin; Lalu Parhanuddin; Ahmad Tohri; Muhammad Suhardi
Journal for Lesson and Learning Studies Vol. 8 No. 1 (2025): April
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jlls.v8i1.91141

Abstract

The lack of student learning motivation has become a critical issue in higher education, particularly in the digital era marked by rapid technological advancement. This study aims to analyze the contribution of artificial intelligence (AI) implementation in enhancing students’ learning motivation through a Systematic Literature Review (SLR) approach. The review was conducted by systematically screening scholarly literature in the Google Scholar database through several selection stages. The initial search using the keyword "Artificial Intelligence" yielded 4,320 documents, which were narrowed down to 749 with the addition of the keyword "Learning Motivation." Further refinement using the keyword "Students" reduced the results to 533 documents, and limiting the publication years to 2020–2024 resulted in 491 documents. The final selection produced 8 relevant articles for in-depth analysis. The data were analyzed qualitatively through thematic synthesis of findings across the selected studies. The results indicate that AI applications, such as educational chatbots and adaptive learning systems, significantly contribute to facilitating more personalized learning and fostering students’ intrinsic motivation. However, challenges such as limited technological access, resistance to change, and concerns regarding data privacy and ethics remain critical barriers. This study concludes that the development of AI in education must emphasize inclusivity, personalization, and the alignment with learners’ needs to ensure more effective and sustainable learning in the digital age.
Co-Authors Abdul Rasyad Abdullah Muzakar Adzkiyaunuha, Moh. Ahmad Tohri Ambariyani Ambariyani, Ambariyani Amrullah Amrullah Andriani, Tegar Putri Annikmah Farida, Annikmah Asror, M. Zainul Aswasulasikin Asy'ari, M. Hasan Azmi, Khaerul B. Fitri Rahmawati Bambang Eka Saputra David, Ahmad Dodi Rodiman Dwi Lestari Handayani, Dwi Lestari Edy Waluyo Eni Nurhayati, Eni Fayza Widya Puspita Ferdianto, Jujuk Fudoli, M. Fahmi Habibuddin Hadijah Hadijah Hafiz, Abdul Hairi, Husnul Husnul Hairi Indar Purbatin Irwan, Mulyadi Jauziati, Baiq Jujuk Ferdianto Jujuk Ferdianto Khairi Ahmad Shopian Lalu Murdi Lalu Parhanuddin Lalu Wahyu Andi Purnama M. Juaini M. Juaini Mashun Mashun Mashun, Mashun Mohzana Muaidi, Muaidi Mubasit Mubasit, Mubasit Muchamad Triyanto Muh. Fahrurrozi Muhamad Ali Muhamad Juaini MUHAMMAD ALI Muhammad Khairul Wazni , Muhammad Khairul Wazni Muhammad Khairul Wazni Muhammad Khairul Wazni Muhammad Shulhan Hadi, Muhammad Shulhan Muhammad Suhardi Muliadi MULYANI Munadi, Ahmad Musifuddin Musifuddin Nasri, Zainul Nur Alfi Khotamin, Nur Alfi Nurdin Nurdin Nurfitri, Celine Nurhajjah, Nurhajjah Nurhayati, Putri Padlurahman, Padlurahman Padlurrahman, Padlurrahman Pamujo Pamujo Putra, Panggih Permana Rizkah, Rizkah Roziin Roziin Sadikin Ali Salman Alfarisi Saminah, Jawahir Intan Hairul Sapri Sapri Septiani, Rizka Putri Setyawan, FX Arinto Siti Nawarul Uyun Subhani , Armin Subhani, Armin - Supriadi Supriadi Syahrul Amar Tatan Tatan Tatan, Tatan Ully, Mawaddatun Vela, Anggita Yuwono, Pratik Hari Zulfikri Zulfikri