Building a Decision Support System based on Data-Driven Approach to Enhancing Teaching Quality
Corressponding author's email:
hiennd@uit.edu.vnDOI:
https://doi.org/10.54644/jte.2024.1542Keywords:
Decision Support System, Data Visualization, Data Engineering, Quality Assurance, Teaching QualityAbstract
In the current era of Industry 4.0, the analysis and evaluation of data, leading to informed decision-making, play a crucial role in advancing all aspects of life. At University of Information Technology (VNU-HCM), students have the opportunity to assess and provide feedback on teching activities of lecturers at the end of each semester, resulting in an increasingly large dataset. Consequently, the potential of this dataset is immense. To help the university efficiently capture valuable information and support decision-making aimed at improving teaching quality, this study develops a decision support system, named Academic Quality Assurance, for supporting the analyzing of data collected from multiple semesters. The system focuses on assisting users in filtering data based on semesters, courses, departments, and programs, and then visualizing the data, providing comparisons. In turn, this supports users in making necessary improvement decisions and tracking effectiveness through annual evaluation scores. In the following, the system will be elaborated further on the process of constructing survey questions, building the dataset, survey data structure.
Downloads: 0
References
A. Gunn, "Metrics and methodologies for measuring teaching quality in higher education: developing the Teaching Excellence Framework (TEF)," Educational Review, vol. 70, no. 2, pp. 129-148, 2018. DOI: https://doi.org/10.1080/00131911.2017.1410106
W. O. Anyim, "Sustainable development goal on quality education: A review of e-learning resources and pedagogy in the university system," Library Philosophy and Practice, Article 5578. [Online]. Available: https://digitalcommons.unl.edu/libphilprac/5578/. Accessed: Mar. 9, 2024.
S. Brauckmann, P. Pashiardis, and H. Ärlestig, "Bringing context and educational leadership together: Fostering the professional development of school principals," Professional Development in Education, vol. 49, no. 1, pp. 4-15, 2023. DOI: https://doi.org/10.1080/19415257.2020.1747105
H. D. Nguyen, "Intelligent System in Education: Requirements and Design Method," Journal of Electronic Voltage and Application (JEVA), vol. 4, no. 2, pp. 12–19, 2023. DOI: https://doi.org/10.30880/jeva.2023.04.02.002
M. Akour and M. Alenezi, "Higher education future in the era of digital transformation," Education Sciences, vol. 12, no. 11, p. 784, 2022. DOI: https://doi.org/10.3390/educsci12110784
G. Nota, D. Peluso, and A. Lazo, "The contribution of Industry 4.0 technologies to facility management," International Journal of Engineering Business Management, vol. 13, 2021, doi: 10.1177/18479790211024131. DOI: https://doi.org/10.1177/18479790211024131
M. Daumiller, R. Rinas, J. Hein, S. Janke, O. Dickhäuser, and M. Dresel, "Shifting from face-to-face to online teaching during COVID-19: The role of university faculty achievement goals for attitudes towards this sudden change, and their relevance for burnout/engagement and student evaluations of teaching quality," Computers in Human Behavior, vol. 118, p. 106677, 2021. DOI: https://doi.org/10.1016/j.chb.2020.106677
H. Nguyen, N. Do, N. Tran, X. H. Pham, and V. Pham, "Some criteria of the Knowledge Representation method for an Intelligent Problem Solver in STEM education," Applied Computational Intelligence and Soft Computing, vol. 2020, Article ID 9834218, 2020. DOI: https://doi.org/10.1155/2020/9834218
S. Bai, K. Hew, and B. Huang, "Does gamification improve student learning outcome? Evidence from a meta-analysis and synthesis of qualitative data in educational contexts," Educational Research Review, vol. 30, p. 100322, 2020. DOI: https://doi.org/10.1016/j.edurev.2020.100322
T. Pham, C. H. Nguyen, H. T. Pham, and H. Ta, "Internal Quality Assurance of Academic Programs: A Case Study in Vietnamese Higher Education," SAGE Open, vol. 12, no. 4, p. 21582440221144419, 2022. DOI: https://doi.org/10.1177/21582440221144419
T. Pham, "Faculty engagement in internal quality assurance of academic programs: A literature review," Vietnam Journal of Education, vol. 6, no. 1, pp. 10-19, 2022. DOI: https://doi.org/10.52296/vje.2022.143
N. Shrestha, "Factor analysis as a tool for survey analysis," American Journal of Applied Mathematics and Statistics, vol. 9, no. 1, pp. 4-11, 2021. DOI: https://doi.org/10.12691/ajams-9-1-2
N. D. Tho and N. T. M. Trang, Scientific Research in Business Administration, Hanoi: Statistical Publishing House, 2009.
"Online survey system of UIT," https://student.uit.edu.vn/sinhvien/phieukhaosat. Accessed: Mar. 9, 2024.
J. Xing and Y. Zhang, "Design of Embedded Data Acquisition Integrated System Based on SQLite Database," in Proc. Int. Conf. Cyber Security Intell. Anal. (CSIA 2019), Shenyang, China, 2019, pp. 420-428. DOI: https://doi.org/10.1007/978-3-030-15235-2_63
H. Nguyen, D. A. Tran, H. Pham, and V. Pham, "Design an intelligent system to automatically tutor the method for solving problems," Int. J. Integr. Eng., vol. 12, no. 7, pp. 211-223, 2020.
E. VanDerHorn and S. Mahadevan, "Digital Twin: Generalization, characterization and implementation," Decision Support Systems, vol. 145, p. 113524, 2021. DOI: https://doi.org/10.1016/j.dss.2021.113524
A. Antoniadi, Y. Du, Y. Guendouz, L. Wei, C. Mazo, B. A. Becker, and C. Mooney, "Current challenges and future opportunities for XAI in machine learning-based clinical decision support systems: a systematic review," Applied Sciences, vol. 11, no. 11, p. 5088, 2021. DOI: https://doi.org/10.3390/app11115088
P. A. Laplante and M. Kassab, Requirements Engineering for Software and Systems, 3rd ed., Boca Raton, FL: Auerbach Publications, 2022. DOI: https://doi.org/10.1201/9781003129509
N. D. Hien and P. T. Vuong, "Knowledge Representation Methods and Intelligent Systems," Journal of Science, Ho Chi Minh City University of Education, vol. 20, no. 1, pp. 135-152, 2023.
D. Keim, G. Andrienko, J. D. Fekete, C. Görg, J. Kohlhammer, and G. Melançon, "Visual analytics: Definition, process, and challenges," in Information Visualization, Springer, 2008, pp. 154-175. DOI: https://doi.org/10.1007/978-3-540-70956-5_7
R. Hofstede, P. Čeleda, B. Trammell, I. Drago, R. Sadre, A. Sperotto, and A. Pras, "Flow monitoring explained: From packet capture to data analysis with NetFlow and IPFIX," IEEE Communications Surveys & Tutorials, vol. 16, no. 4, pp. 2037-2064, 2014. DOI: https://doi.org/10.1109/COMST.2014.2321898
W. Li, K. Sun, F. Schaub, and C. Brooks, "Disparities in students’ propensity to consent to learning analytics," International Journal of Artificial Intelligence in Education, vol. 32, no. 3, pp. 564-608, 2022. DOI: https://doi.org/10.1007/s40593-021-00254-2
P. Nguyen, L. Tran, H. Le, H. Nguyen, T. Nguyen, H. Nguyen, and B. Nguyen, "Faster imputation using singular value decomposition for sparse data," in Proc. 15th Asian Conf. Intell. Inf. Database Syst. (ACIIDS 2023), Phuket, Thailand, 2023, pp. 135-146. DOI: https://doi.org/10.1007/978-981-99-5834-4_11
L. Li and Y. Liu, "An integrated model of principal transformational leadership and teacher leadership that is related to teacher self-efficacy and student academic performance," Asia Pacific Journal of Education, vol. 42, no. 4, pp. 661-678, 2022. DOI: https://doi.org/10.1080/02188791.2020.1806036
"MLY," Explorance. [Online]. Available: https://explorance.com/products/mly/. Accessed: Apr. 9, 2024.
Downloads
Published
How to Cite
Issue
Section
Categories
License
Copyright (c) 2024 Journal of Technical Education Science
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Copyright © JTE.
