The Influence of Artificial Intelligence in Student Coursework Efficiency
Keywords:
Academic ethics, Artificial intelligence, Daily tasks, Efficiency, StudentsAbstract
The emergence of artificial intelligence technology or commonly referred to as AI (Artificial Intelligence) in this digital era has become part of human life in various aspects, including the world of education. In making academic tasks, students such as making reports, working on papers, or preparing presentations can use AI tools such as Grammarly, Canva and ChatGPT to shorten time and high quality. This study aims to analyze the influence and impact of using AI in improving efficiency and effectiveness in completing daily academic tasks, which includes the benefits of challenges, as well as positive and negative impacts on learning skills by using the theory of Tom B Brown (2020) about active learning, reflective engagement, skill adaptation, and independence in learning. Through a descriptive and qualitative approach with data collected through interviews with 20 students. The results of this study show that the use of artificial intelligence tools can improve task quality by 70% for Canva, 65% for Grammarly, and 60% for ChatGPT. AI reduced task completion time by 40%. However, it should be noted that AI-based tools require human supervision to correct and avoid potential technical errors, academic ethical risks, and dependence on AI. This research suggests using AI wisely and responsibly, fully understanding the boundaries of academic ethics, not making AI a substitute for critical thinking but rather a tool, and providing guidelines for the use of AI tools in universities or other educational institutions so that students are not completely dependent on AI.
References
Пугачова, К. (2023). Transforming Education With Artificial Intelligence: Challenges, Opportunities, And Future Directions. Вісник науки та освіти, (11 (17)) Akgun, S., & Greenhow, C. (2022). Artificial intelligence in education: Addressing ethical challenges in K-12 settings. AI and Ethics, 2(3), 431-440. Baidoo-Anu, D., & Ansah, L. O. (2023). Education in the era of generative artificial intelligence (AI): Understanding the potential benefits of ChatGPT in promoting teaching and learning. Journal of AI, 7(1), 52-62 Brown, T. B. (2020). Language models are few-shot learners. arXiv preprint arXiv:2005.14165. Fauzi, F., Tuhuteru, L., Sampe, F., Ausat, A. M. A., & Hatta, H. R. (2023). Analysing the role of ChatGPT in improving student productivity in higher education. Journal on Education, 5(4), 14886-14891
Lin, Z. (2023). Why and how to embrace AI such as ChatGPT in your academic life. Royal Society open science, 10(8), 230658. Ouyang, F., Zheng, L., & Jiao, P. (2022). Artificial intelligence in online higher education: A systematic review of empirical research from 2011 to 2020. Education and Information Technologies, 27(6), 7893-7925. Perkins, M. (2023). Academic Integrity considerations of AI Large Language Models in the post-pandemic era: ChatGPT and beyond. Journal of University Teaching and Learning Practice, 20(2). Raheem, B. R., Anjum, F., & Ghafar, Z. N. (2023). Exploring the profound impact of artificial intelligence applications (Quillbot, Grammarly and ChatGPT) on English academic writing: A Systematic Review. International Journal of Integrative Research (IJIR), 1(10), 599-622. Shaw, C., Yuan, L., Brennan, D., Martin, S., Janson, N., Fox, K., & Bryant, G. (2023). GenAI in higher education: Fall 2023 update time for class study. Tyton Partners. tytonpartners. com/time-for-class-2023/GenAI-Update. Vargas, I. M., Cabrera, C. I. G., Cortez, C. A. A., Apaza, I. M. A., & Reátegui, M. D. (2022). The canva platform and meaningful learning in regular basic education. International journal of health sciences, 6(S7), 643-658. Wu, H., Wang, W., Wan, Y., Jiao, W., & Lyu, M. (2023). Chatgpt or grammarly? evaluating chatgpt on grammatical error correction benchmark. arXiv preprint arXiv:2303.13648. Yilmaz, R., & Yilmaz, F. G. K. (2023). The effect of generative artificial intelligence (AI)-based tool use on students' computational thinking skills, programming self-efficacy and motivation. Computers and Education: Artificial Intelligence, 4, 100147. Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education–where are the educators?. International Journal of Educational Technology in Higher Education, 16(1), 1-27. Zhai, X., Chu, X., Chai, C. S., Jong, M. S. Y., Istenic, A., Spector, M., ... & Li, Y. (2021). A Review of Artificial Intelligence (AI) in Education from 2010 to 2020. Complexity, 2021(1), 8812542
