The Role of Artificial Intelligence-Based Recommendation Systems in Selection of Courses for Students
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Background. Modern higher education institutions are faced with complex challenges in developing curricula that suit students’ needs and interests. To overcome this challenge, artificial intelligence-based recommendation systems are an attractive alternative. This system can help students in selecting courses, providing suggestions that suit their interests and needs.
Purpose. This research aims to understand students’ experiences and views on recommendation systems in selecting courses in higher education, with a focus on system effectiveness, level of student trust, and ease of use. The main objective is to identify the impact of recommendation systems on students’ academic decisions.
Method. The research used a quantitative survey method of 20 students at universities by collecting data through online questionnaires. The results of the analysis show that the majority of respondents are experienced with the recommendation system, rely on it in selecting courses, and tend to follow the recommendations, as well as showing user satisfaction and the influence of the system on academic decisions.
Results. The results of the study show that artificial intelligence-based recommendation systems play an important role in guiding students in their academic decision-making. However, there is a need for a deeper understanding of the factors that influence user satisfaction and system effectiveness. The interim conclusion emphasizes the need for further development and adjustment of the course recommendation system in order to increase its responsiveness to student needs.
Conclusion. This conclusion is the basis for deeper reflection and the development of a course recommendation system that can more effectively meet student expectations and needs in the ever-developing era of higher education. In this way, this research has the potential to make a significant contribution to the development of more adaptive and responsive academic decision support systems.
Abbasi, K. R., Hussain, K., Haddad, A. M., Salman, A., & Ozturk, I. (2022). The role of Financial Development and Technological Innovation towards Sustainable Development in Pakistan: Fresh insights from consumption and territory-based emissions. Technological Forecasting and Social Change, 176, 121444. https://doi.org/10.1016/j.techfore.2021.121444
Abdulkareem, M., & Petersen, S. E. (2021). The Promise of AI in Detection, Diagnosis, and Epidemiology for Combating COVID-19: Beyond the Hype. Frontiers in Artificial Intelligence, 4, 652669. https://doi.org/10.3389/frai.2021.652669
Al Hinai, G., Jammoul, S., Vajihi, Z., & Afilalo, J. (2021). Deep learning analysis of resting electrocardiograms for the detection of myocardial dysfunction, hypertrophy, and ischaemia: A systematic review. European Heart Journal - Digital Health, 2(3), 416–423. https://doi.org/10.1093/ehjdh/ztab048
Ali, Md. M., Hamid, M. O., & Hardy, I. (2020). Ritualisation of testing: Problematising high-stakes English-language testing in Bangladesh. Compare: A Journal of Comparative and International Education, 50(4), 533–553. https://doi.org/10.1080/03057925.2018.1535890
Almaiah, M. A., Ayouni, S., Hajjej, F., Lutfi, A., Almomani, O., & Awad, A. B. (2022). Smart Mobile Learning Success Model for Higher Educational Institutions in the Context of the COVID-19 Pandemic. Electronics, 11(8), 1278. https://doi.org/10.3390/electronics11081278
Ammar, A., Chtourou, H., Boukhris, O., Trabelsi, K., Masmoudi, L., Brach, M., Bouaziz, B., Bentlage, E., How, D., Ahmed, M., Mueller, P., Mueller, N., Hsouna, H., Aloui, A., Hammouda, O., Paineiras-Domingos, L., Braakman-Jansen, A., Wrede, C., Bastoni, S., … on behalf of the ECLB-COVID19 Consortium. (2020). COVID-19 Home Confinement Negatively Impacts Social Participation and Life Satisfaction: A Worldwide Multicenter Study. International Journal of Environmental Research and Public Health, 17(17), 6237. https://doi.org/10.3390/ijerph17176237
Bond, M. (2020). Facilitating student engagement through the flipped learning approach in K-12: A systematic review. Computers & Education, 151, 103819. https://doi.org/10.1016/j.compedu.2020.103819
Bruijnes, M., Kesteloo, M., & Brinkman, W.-P. (2023). Reducing social diabetes distress with a conversational agent support system: A three-week technology feasibility evaluation. Frontiers in Digital Health, 5, 1149374. https://doi.org/10.3389/fdgth.2023.1149374
Dhilleswararao, P., Boppu, S., Manikandan, M. S., & Cenkeramaddi, L. R. (2022). Efficient Hardware Architectures for Accelerating Deep Neural Networks: Survey. IEEE Access, 10, 131788–131828. https://doi.org/10.1109/ACCESS.2022.3229767
Dwivedi, Y. K., Hughes, L., Baabdullah, A. M., Ribeiro-Navarrete, S., Giannakis, M., Al-Debei, M. M., Dennehy, D., Metri, B., Buhalis, D., Cheung, C. M. K., Conboy, K., Doyle, R., Dubey, R., Dutot, V., Felix, R., Goyal, D. P., Gustafsson, A., Hinsch, C., Jebabli, I., … Wamba, S. F. (2022). Metaverse beyond the hype: Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 66, 102542. https://doi.org/10.1016/j.ijinfomgt.2022.102542
Gillespie, M., Jassal, B., Stephan, R., Milacic, M., Rothfels, K., Senff-Ribeiro, A., Griss, J., Sevilla, C., Matthews, L., Gong, C., Deng, C., Varusai, T., Ragueneau, E., Haider, Y., May, B., Shamovsky, V., Weiser, J., Brunson, T., Sanati, N., … D’Eustachio, P. (2022). The reactome pathway knowledgebase 2022. Nucleic Acids Research, 50(D1), D687–D692. https://doi.org/10.1093/nar/gkab1028
Gusev, S. V., & Bondarko, V. A. (2020). Notes on Yakubovich’s method of recursive objective inequalities and its application in adaptive control and robotics. IFAC-PapersOnLine, 53(2), 1379–1384. https://doi.org/10.1016/j.ifacol.2020.12.1885
Ikhlas, R. Z., Japakiya, R., & Muzayanah, T. (2023). Utilization of Canva Application as a Learning Media Video Creation. Journal of Social Science Utilizing Technology, 1(3), 158–169. https://doi.org/10.55849/jssut.v1i3.558
Jiang, J., Men, Y., Pang, T., Tang, S., Hou, Z., Luo, M., Sun, X., Wu, J., Yadav, S., Xiong, Y., Liu, C., & Zheng, Y. (2023). An integrated supervision framework to safeguard the urban river water quality supported by ICT and models. Journal of Environmental Management, 331, 117245. https://doi.org/10.1016/j.jenvman.2023.117245
Luo, W., Xing, J., Milan, A., Zhang, X., Liu, W., & Kim, T.-K. (2021). Multiple object tracking: A literature review. Artificial Intelligence, 293, 103448. https://doi.org/10.1016/j.artint.2020.103448
Mahmood, M., Uddin, Md. A., & Fan, L. (2019). The influence of transformational leadership on employees’ creative process engagement: A multi-level analysis. Management Decision, 57(3), 741–764. https://doi.org/10.1108/MD-07-2017-0707
Mehrabi, N., Morstatter, F., Saxena, N., Lerman, K., & Galstyan, A. (2022). A Survey on Bias and Fairness in Machine Learning. ACM Computing Surveys, 54(6), 1–35. https://doi.org/10.1145/3457607
Moorhouse, B. L., & Wong, K. M. (2022). Blending asynchronous and synchronous digital technologies and instructional approaches to facilitate remote learning. Journal of Computers in Education, 9(1), 51–70. https://doi.org/10.1007/s40692-021-00195-8
Owoc, M. L., Sawicka, A., & Weichbroth, P. (2021). Artificial Intelligence Technologies in Education: Benefits, Challenges and Strategies of Implementation. Dalam M. L. Owoc & M. Pondel (Ed.), Artificial Intelligence for Knowledge Management (Vol. 599, hlm. 37–58). Springer International Publishing. https://doi.org/10.1007/978-3-030-85001-2_4
Phuong Nguyen, K., Ken Luke, A., Cheng, Y., John, A., & M Cham, K. (2022). The Limited Level of Digital Skills and Competencies of Optometry Students. Journal of Information Technology Education: Research, 21, 097–114. https://doi.org/10.28945/4929
Pradana, M., Elisa, H. P., & Syarifuddin, S. (2023). Discussing ChatGPT in education: A literature review and bibliometric analysis. Cogent Education, 10(2), 2243134. https://doi.org/10.1080/2331186X.2023.2243134
Putera, P. B., Widianingsih, I., Ningrum, S., Suryanto, S., & Rianto, Y. (2022). Overcoming the COVID-19 Pandemic in Indonesia: A Science, technology, and innovation (STI) policy perspective. Health Policy and Technology, 11(3), 100650. https://doi.org/10.1016/j.hlpt.2022.100650
Qin, J., Hu, F., Liu, Y., Witherell, P., Wang, C. C. L., Rosen, D. W., Simpson, T. W., Lu, Y., & Tang, Q. (2022). Research and application of machine learning for additive manufacturing. Additive Manufacturing, 52, 102691. https://doi.org/10.1016/j.addma.2022.102691
Ratten, V. (2020). Coronavirus (Covid-19) and the entrepreneurship education community. Journal of Enterprising Communities: People and Places in the Global Economy, 14(5), 753–764. https://doi.org/10.1108/JEC-06-2020-0121
Ren, B., Tang, H., Meng, F., Runwei, D., Torr, P. H. S., & Sebe, N. (2024). Cloth Interactive Transformer for Virtual Try-On. ACM Transactions on Multimedia Computing, Communications, and Applications, 20(4), 1–20. https://doi.org/10.1145/3617374
Tarke, A., Sidney, J., Kidd, C. K., Dan, J. M., Ramirez, S. I., Yu, E. D., Mateus, J., Da Silva Antunes, R., Moore, E., Rubiro, P., Methot, N., Phillips, E., Mallal, S., Frazier, A., Rawlings, S. A., Greenbaum, J. A., Peters, B., Smith, D. M., Crotty, S., … Sette, A. (2021). Comprehensive analysis of T cell immunodominance and immunoprevalence of SARS-CoV-2 epitopes in COVID-19 cases. Cell Reports Medicine, 2(2), 100204. https://doi.org/10.1016/j.xcrm.2021.100204
Tikva, C., & Tambouris, E. (2021). Mapping computational thinking through programming in K-12 education: A conceptual model based on a systematic literature Review. Computers & Education, 162, 104083. https://doi.org/10.1016/j.compedu.2020.104083
Yang, Q., Liu, Y., Chen, T., & Tong, Y. (2019). Federated Machine Learning: Concept and Applications. ACM Transactions on Intelligent Systems and Technology, 10(2), 1–19. https://doi.org/10.1145/3298981
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