Evaluasi Penerimaan Aplikasi YouChat terhadap Pengalaman Belajar Mahasiswa PTN Surabaya menggunakan Model TAM
DOI:
https://doi.org/10.62951/bridge.v2i2.73Keywords:
Education, SEM-PLS, TAM, YouChatAbstract
With the rapid development of technology, its use has expanded to all sectors, including education. Artificial Intelligence (AI) plays an important role in providing innovative solutions, mimicking human intelligence, and potentially replacing human roles in several functions. In education, AI has proven to enhance learning motivation and active student participation. YouChat, an AI chatbot based on GPT-3.5, is used as a learning assistant offering features such as answering questions and providing idea suggestions. Observations and literature studies show that this application has great potential to improve students' learning experiences. This thesis aims to evaluate the acceptance of the YouChat application on students' learning experiences in public higher education institutions in Surabaya using the Technology Acceptance Model (TAM). Data were collected from 399 students and processed using the SEM-PLS technique with SmartPLS 3.2.9 software, including outer model, inner model, and hypothesis testing. The thesis results show that perceived enjoyment and perceived informativeness significantly affect attitude, which in turn affects the intention to use. The variable trust also moderates the effect of perceived informativeness on attitude. This thesis provides insights into students' acceptance of the YouChat application in their learning process as an evaluation for improvement, development, and enhancement for both YouChat and educational institutions.
Downloads
References
Chaka, C. (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. https://doi.org/10.26803/ijlter.22.6.1
Eliaçık, E. (2023). Best AI search engines: Let AI surf the web for you. Dataconomy. https://dataconomy.com/2023/02/14/best-ai-search-engine-neeva-ai-bing-ai-bard-ai-webchatgpt-youchat/
Farwati, M., Salsabila, I. T., Navira, K. R., & Sutabri, T. (2023). Analisa pengaruh teknologi artificial intelligence (AI) dalam kehidupan sehari-hari. Jursima: Jurnal Sistem Informasi & Manajemen, 11(1), 39–45.
Ghozali, I., & Latan, H. (2015). Partial least squares konsep teknik dan aplikasi menggunakan program Smart PLS 3.0. Badan Penerbit Universitas Diponegoro Semarang.
Götz, O., Liehr-Gobbers, K., & Krafft, M. (2010). Evaluation of structural equation models using the partial least squares (PLS) approach. Handbook of Partial Least Squares (pp. 691–692). https://doi.org/10.1007/978-3-540-32827-8
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139–152. https://doi.org/10.2753/MTP1069-6679190202
Ipsos. (2023). Indonesia, negara paling optimistis akan manfaat teknologi AI. Databoks.
Nugroho, H., Suhud, U., & Rochyati, R. (2019). Penerapan pengembangan teori technology acceptance model (TAM) dan motivasi terhadap intensi mahasiswa di Jakarta untuk menggunakan tablet. Communicare: Journal of Communication Studies, 5(1), 45. https://doi.org/10.37535/101005120184
Purwanto, A., & Sudargini, Y. (2021). Partial least squares structural equation modeling (PLS-SEM) analysis for social and management research: A literature review. Journal of Industrial Engineering & Management Research, 2(4), 114–123.
Rahman, S., Sabbir, M., Zhang, J., Moral, I., & Hossain, S. (2023). Examining students’ intention to use ChatGPT: Does trust matter? Journal of Industrial Engineering & Management Research, 39(6), 51–71.
Restiawan, R., & Ula, D. M. (2023). Peran teknologi artificial intelligence (AI) terhadap perubahan sosial masyarakat. Triwikrama: Jurnal Ilmu Sosial, 2(2), 148–156.
Statista. (2023). 9 AI pembuat teks yang banyak digunakan pada 2022. Databoks.
Sugiyono. (2007). Statistik untuk penelitian. Bandung: Alfabeta, CV.
Wikipedia contributors. (2023). You.com. Wikipedia. https://en.wikipedia.org/wiki/You.com
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Bridge : Jurnal publikasi Sistem Informasi dan Telekomunikasi

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.