STUDI LITERATUR : PENGARUH CHATBOT AI SEBAGAI TUTOR VIRTUAL DALAM MENINGKATKAN MOTIVASI BELAJAR SISWA
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Abstract
Education plays an important role in developing individual potential, and learning motivation is the force that drives students to learn. AI chatbots as virtual tutors can enhance student learning motivation by providing support and feedback that boosts their self-confidence. Using an AI chatbot helps students individually by providing information that matches their cognitive abilities, making learning more exciting and motivating. However, more research is required to fully comprehend the impact of AI chatbots and enhance their role in boosting student learning motivation. The research uses a method of literature study to analyse the influence of AI chatbot interaction as a virtual tutor on student learning motivation. Research procedures include the selection of topics, searching for information, determining the direction of research, data collection, data presentation, and reporting with content analysis techniques. The results provide an overview of the influence of AI chatbots on student learning motivation and the factors that influence it. Students' learning motivation is influenced by interests, academic pressures, and learning environments. AI chatbots can provide solutions with personalisation and adaptation, enhance student engagement, provide immediate feedback, and make learning more interesting. However, challenges in the use of AI chatbots include data accuracy, assessment credibility, and the limitations of AI. Recommendations for using the AI chatbot include proper selection, training for teachers and students, and regular evaluation to maximise its potential in creating a personal and interactive learning system.
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References
Adan, S.I.A. (2023). Pentingnya Motivasi Belajar Dalam Meningkatkan Hasil Belajar Siswa. Jurnal Pendidikan dan Pengajaran. 1(2). 77-86.
Ahlam, Mohammed, Al-Abdullatif., A., Al-Dokhny., Amr, Mohammed, Drwish. (2023). Implementing the Bashayer chatbot in Saudi higher education: measuring the influence on students' motivation and learning strategies. Frontiers in Psychology, 14 doi: 10.3389/fpsyg.2023.1129070Indrašienė, V., & Suboč, V. (2010). Factors that influence the decline in student learning motivation. Social Work, 9, 107–113.
Antony, S., & Ramnath, R. (2023). A Phenomenological Exploration of Students’ Perceptions of AI Chatbots in Higher Education. IAFOR Journal of Education. https://doi.org/10.22492/ije.11.2.01.
Bedenlier, S., Bond, M., Buntins, K., Zawacki-Richter, O., & Kerres, M. (2020). Facilitating student involvement through educational technology in higher education: A systematic review of the arts and humanities. Journal of Educational Technology Australasia, 126–150. https://doi.org/10.14742/ajet.5477.
Bhujbal, M., Gavandhare, M., Gobe, M., & Ghodake, P. (2022). AI based Chatbot for Students FAQs. International Journal of Research In Science & Engineering. https://doi.org/10.55529/ijrise.21.45.49.
Chaka, Petrus, Chaka. (2023). Generative AI Chatbots - ChatGPT versus YouChat versus Chatsonic: Use Cases of Selected Areas of Applied English Language Studies. International Journal of Learning, Teaching and Educational Research, 22(6):1-19. doi: 10.26803/ijlter.22.6.1
Chung, Kwan, Lo., Khe, Foon, Hew. (2023). A review of integrating AI-based chatbots into flipped learning: new possibilities and challenges. Frontiers in Education, 8 doi: 10.3389/feduc.2023.1175715Emda, A. (2017). Kedudukan Motivasi Belajar Siswa Dalam Pembelajaran. Lantanida Journa. 5(2). 93-196.
Fidan, M., & Gencel, N. (2022). Supporting the Instructional Videos With Chatbot and Peer Feedback Mechanisms in Online Learning: The Effects on Learning Performance and Intrinsic Motivation. Journal of Educational Computing Research, 60, 1716 - 1741. https://doi.org/10.1177/07356331221077901.
Filgona, J., Sakiyo, J., Gwany, D., & Okoronka, A. (2020). Motivation in Learning. Journal of Asian Education and Social Sciences. https://doi.org/10.9734/ajess/2020/v10i430273
Han, D. (2020). The impact of voice-based chatbots on the speech competence and affective domain of Korean EFL high school students., 6, 71–80. https://doi.org/10.47116/apjcri.2020.07.07.
Hawanti, S., & Zubaydulloevna, K. (2023). AI-based learning chatbots reduce student anxiety in English writing classes. Social Informatics Theory and Application Bulletin. https://doi.org/10.31763/businta.v7i2.659.
Kadeeva, O., & Syritsyna, V. (2020). Chatbots and the features of their use in education. Informatics at school. https://doi.org/10.32517/2221-1993-2020-19-10-45-53 .
Kai, Yan, Guo., Yuchun, Zhong., Danling, Li., Samuel, Kai, Wah, Chu. (2023). Effects of chatbot- assisted in-class debates on students’ argumentation skills and task motivation. Computers & education, 203:104862-104862. doi: 10.1016/j.compedu.2023.104862
Kamria., Nurwati., Momo, H., & Maharani, S. (2023). Student Academic Stress on E-Learning Systems. International Journal of Membrane Science and Technology. https://doi.org/10.15379/ijmst.v10i3.1924.
Kasthuri, E., & Balaji, S. (2021). Natural language processing and deep learning chatbot using long short term memory algorithm. Materials Today: Proceedings. https://doi.org/10.1016/J.MATPR.2021.04.154.
Krippendoff, Klaus. 1993. Analisis isi: Pengantar Teori dan Metodologi. Jakarta: Citra Niaga Rajawali Press.
Kulthau, C. C. 2002. Teaching The Library Reseach. USA: Scarecrow Press Inc.
Kusumawati, I., Lestari, N.C., Sihombing, C., Purnawanti, F., Soemarsono, D.W.P., Kamadi, L., Latuheru, R.V., Hanafi, S. (2023). Pengantar Pendidikan. CV Rey Media Grafika.
Lin, C., Huang, A., & Yang, S. (2023). AI-based Chatbots Implementation Methodology and Challenges Review (1999–2022). Sustainability. https://doi.org/10.3390/su15054012.
Ma, Dongbo., Sami, Miniaoui., Liem, Bee, Fen., Sara, Althubiti., Theyab, R., Alsenani. (2023). Intelligent chatbot interaction system capable for sentimental analysis using hybrid machine learning algorithms. Information Processing and Management, 60(5):103440-103440. doi: 10.1016/j.ipm.2023.103440
Melfianora, Ir. (2017). Penulisan Karya Ilmiah dengan Studi Literatur. UPT Balai Penyuluhan Pertanian. 1- 3.
Mohaimenul, Islam, Jowarder. (2023). The Influence of ChatGPT on Social Science Students: Insights Drawn from Undergraduate Students in the United States. Indonesian Journal of Innovation and Applied Sciences, doi: 10.47540/ijias.v3i2.878
Nam, N., & Giang, N. (2023). Knowledge Flow Planning According to the Self-Regulation Learning Approach to Teaching Mathematics in Chatbots. International Journal of Current Scientific Research and Review. https://doi.org/10.47191/ijcsrr/v6-i12-59 .
Osamor, A. (2023). Rethinking online assessment strategies: Authenticity versus AI chatbot intervention. Journal of Applied Learning & Teaching. https://doi.org/10.37074/jalt.2023.6.2.2.
Rizvi, S. (2023). Revolutionising Student Engagement: The Impact of Artificial Intelligence on Special Learning Motivation. International Journal of Advanced Engineering Research and Science. https://doi.org/10.22161/ijaers.109.4.
Rong, Wu., Zhonggen, Yu. (2023). Do AI chatbots improve students learning outcomes? Evidence from a meta‐analysis. British Journal of Educational Technology, doi: 10.1111/bjet.13334
Sukhpal, Singh, Gill. (2023). Transformative effects of ChatGPT on modern education: Emerging Era of AI Chatbots. Internet of things and cyber-physical systems, doi: 10.1016/j.iotcps.2023.06.002
Thomas, K., F., Chiu., Benjamin, Luke, Moorhouse., Ching, Sing, Chai., Murodulla, Kahramonovich, Ismailov. (2023). Teacher support and student motivation to learn with Artificial Intelligence (AI) based chatbot. Interactive Learning Environments, 1-17. doi: 10.1080/10494820.2023.2172044
Tufan, Adiguzel., Mehmet, Haldun, Kaya., Fatih, Kursat, Cansu. (2023). Revolutionizing education with AI: Exploring the transformative potential of ChatGPT. Contemporary Educational Technology, 15(3):ep429-ep429. doi: 10.30935/cedtech/13152
Wissal, Neji., Naouel, Boughattas., Faten, Ziadi. (2023). Exploring New AI-Based Technologies to Enhance Students’ Motivation. Issues in Informing Science and Information Technology, 20:095-110. doi: 10.28945/5149
Wijdane, Kaiss., Khalifa, Mansouri., Franck, Poirier. (2023). Effectiveness of an Adaptive Learning Chatbot on Students’ Learning Outcomes Based on Learning Styles. International Journal of Emerging Technologies in Learning (ijet), 18(13):250-261. doi: 10.3991/ijet.v18i13.39329
Yilmaz, E., Şahin, M., & Turgut, M. (2017). Variables that affect student motivation are based on academic publications. Journal of Education and Practice, 8: 112-120.
Yin, J., Goh, T., Yang, B., & Yang, X. (2020). Conversation Technology With Micro-Learning: The Impact of Chatbot-Based Learning on Students’ Learning Motivation and Performance. Journal of Educational Computing Research, 59, 154 - 177. https://doi.org/10.1177/0735633120952067.