Development of Intelligent Tutoring System Model in the Learning System of the Indonesian National Armed Forces Completed with Bibliometric Analysis

Bobi Kurniawan, M. Meyliana, Harco Leslie Hendric Spits Warnars, Bambang Suharjo

Abstract


This research aims to develop and design an Intelligent Tutoring System (ITS) model to improve the efficiency and adaptability of the learning process using technology based on student personalization. This study employs a systematic literature review method, as well as bibliometric analysis and visualization using the VOSviewer application. We collected data from several well-known article databases. The results showed an intelligent tutoring system model to be connected to five components and 22 sub-components. These components consist of a student model, a pedagogical model, an interface model, a tutor model, and a domain model. Thus, these components and sub-components produce a responsive student model that can be used to develop a learning system within the Indonesian National Armed Forces. The responsive student model not only assesses students' visual, auditory, or kinesthetic learning styles but also gauges their emotions or concentration levels during the learning process. This development not only increases learning effectiveness but also improves student learning experiences and supports adaptive and sustainable academic growth.

Keywords


Adaptive; Intelligent tutoring system; ITS model; Military

Full Text:

PDF

References


Al Husaeni, D. F., and Nandiyanto, A. B. D. (2022). Bibliometric computational mapping analysis of publications on mechanical engineering education using vosviewer. Journal of Engineering Science and Technology, 17(2), 1135-1149.

Binh, H. T., Trung, N. Q., and Duy, B. T. (2021). Responsive student model in an intelligent tutoring system and its evaluation. Education and Information Technologies, 26(4), 4969–4991.

Budianto, A., and Yuana, R. (2019). Perancangan intelligent tutoring system untuk pembelajaran jaringan komputer. Sistemasi, 8, 28.

Cabrera, I., Villalon, J., and Chavez, J. (2017). Blending communities and team-based learning in a programming course. IEEE Transactions on Education, 60(4), 288-295.

Caro, M. F., Josyula, D. P., and Jiménez, J. A. (2015). Multi-level pedagogical model for the personalization of pedagogical strategies in intelligent tutoring systems. Dyna, 82, 185–193.

Chang, M., D’aniello, G., Gaeta, M., Orciuoli, F. J., Sampson, D. G., and Simonelli, C. (2020). Building ontology-driven tutoring models for intelligent tutoring systems using data mining. IEEE Access, 8, 48151–48162.

Huang, J., and Chen, Z. (2016). The research and design of web-based intelligent tutoring system. International Journal of Multimedia and Ubiquitous Engineering, 11(6), 337-348.

Kurniawan, B., Meyliana, M., Warnars, H. L. H. S., Suharjo, B., and Ahiase, G. (2024). Bibliometric analysis using vos viewer with publish or perish of intelligent tutoring system in private universities. International Journal of Informatics, Information System and Computer Engineering (INJIISCOM), 5(2), 166–177.

Li, Z., Xu, T., and Yu, S. (2008). A web-based personalized intelligent tutoring system. 2008 International Conference on Computer Science and Software Engineering, 5, 446–449.

Machado, L. S. R., Frasseto, L. D. S., Bilessimo, S. M. S., Silva, J. B. D., and Silva, I. N. D. (2022). Pedagogical models focused on the integration of ICT in basic education: a systematic review. International Journal of Advanced Engineering Research and Science, 9(8), 129-134.

Meleško, J., and Kurilovas, E. (2018). Adaptive tutoring system with application of intelligent agents. International Journal of Smart Education and Urban Society, 9, 1–11.

Pai, K. C., Kuo, B. C., Liao, C. H., and Liu, Y. M. (2021). An application of Chinese dialogue-based intelligent tutoring system in remedial instruction for mathematics learning. Educational Psychology, 41(2), 137–152.

Paladines, J., and Ramirez, J. (2020). A systematic literature review of intelligent tutoring systems with dialogue in natural language. IEEE Access, 8, 164246–164267.

Thinakaran, R., and Chuprat, S. (2022). Students’ characteristics of student model in intelligent programming tutor for learning programming: a systematic literature review. International Journal of Advanced Computer Science and Applications, 13(7), 669-676.

Utami, I. S. (2018). The effectiveness of blended learning as an instructional model in vocational high school. Journal of Educational Science and Technology (EST), 4(1), 74–83.

Wu, L. (2019). Student model construction of intelligent teaching system based on Bayesian network. Personal and Ubiquitous Computing, 24, 419–428.




DOI: https://doi.org/10.17509/ajse.v4i2.70375

Refbacks

  • There are currently no refbacks.


Copyright (c) 2024 Universitas Pendidikan Indonesia

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

ASEAN Journal of Science and Engineering (AJSE) is published by UPI 

View My Stats