EduComply: A progress tracking system for compliance in teaching-learning deliverables using decision support system

Glaizess P. Salisi & Francis F. Balahadia

Volume 5 Issue 3, September 2025

Abstract

This study presents the development of EduComply, a progress tracking system designed to support compliance in teaching-learning deliverables using a Decision Support System (DSS). The system aims to automate and improve the submission, monitoring, and review of key teaching-learning deliverables, including syllabus, self-paced learning modules (SLMs), tables of specifications (TOS), and exams. The study utilized the developmental-descriptive design and Agile methodology; the system was developed through continuous feedback and iteration. It features real-time tracking of syllabus implementation, centralized submission workflows, and automated dashboards that support timely compliance monitoring. The integration of a Decision Support System allows the system to assess three parameters: faculty deliverables, student performance, and activity-based student feedback. This provides administrators with actionable insights that can guide interventions and policy decisions. User evaluations from faculty, administrators, and students showed a high acceptability. The findings show that while the system is highly accepted and effective in technology-oriented colleges, its lower ratings in non-technical colleges indicate the need for improved adaptability and scalability to diverse academic environments. It revealed that the system improved academic compliance while underscoring the need for contextual refinements for broader institutional adoption. The study recommends future enhancements such as integration with existing LMS platforms, grade tracking, and expanded analytics to support long-term implementation and cross-departmental scalability.

Keywords

Author information & Contribution

Glaizess P. Salisi. Corresponding author. Bachelor of Science in Information Systems. Part-time Instructor, College of Computer Studies, Laguna State Polytechnic University (Siniloan) Host Campus. Email: glaizess.salisi@lspu.edu.ph

Francis F. Balahadia. Doctor in Information Technology. Dean of College of Computer Studies, Laguna State Polytechnic University (Siniloan) Host Campus. Email: francis.balahadia@lspu.edu.ph

"All authors equally contributed to the conception, design, preparation, data gathering and analysis, and writing of the manuscript. All authors read and approved of the final manuscript."

Disclosure statement

Funding

Institutional Review Board Statement

AI Declaration

Notes

Acknowledgement

References

Aboorva, S., & Nagarajan. (2022). Student syllabus tracker. International Academic Journal of Science and Engineering, 9(2), 5–10. http://dx.doi.org/10.9756/IAJSE/V9I2/IAJSE0907

Adeyemi, T. O., & Alotaibi, N. F. (2025). Designing a feedback-driven decision support system for dynamic student intervention. arXiv. https://doi.org/10.48550/arXiv.2508.07107

Adoga, P. I., Muazu, H. G., & Barma, M. (2023). A decision support system for course materials production and inventory management in the National Open University of Nigeria. Dutse Journal of Pure and Applied Sciences, 6(1), 1–13. https://doi.org/10.5281/zenodo.7894561

Ajmal, M., Basit, I., & Sadaf, S. (2024). Evaluating the role of students’ feedback in enhancing teaching effectiveness. Pakistan Journal of Humanities and Social Sciences, 12(2), 1492–1499. https://doi.org/10.52131/pjhss.2024.v12i2.2255

Al-Fraihat, D., Joy, M., Masa’deh, R., & Sinclair, J. (2019). Evaluating e-learning systems success: An empirical study. Computers in Human Behavior, 102, 67–86. https://doi.org/10.1016/j.chb.2019.08.004

Alomary, A., & Woollard, J. (2015, November 21). How is technology accepted by users? A review of technology acceptance models and theories. The IRES 17th International Conference, London, 1–4.

Alyoussef, I. Y. (2021). E-learning acceptance: The role of task–technology fit as sustainability in higher education. Sustainability, 13(11). https://doi.org/10.3390/su13116450

Andhika, A., Aldila, A. S., Supriyono, L. A., Previana, C. N., & Habibie, D. R. (2024). The effectiveness of adaptive learning systems integrated with LMS in higher education. Jurnal KomtekInfo, 49–56. https://doi.org/10.35134/komtekinfo.v11i2.505

Anunaobi, J. C., & Nbame, L. (2022). Relevance of table of specification in educational assessment. International Journal of Innovative Social Sciences & Humanities Research, 10(1), 73–80.

Arifin, M., Wibisono, Y., & Hidayat, R. (2021). ISO 21001:2018 in academia: A review of literature. International Journal of Education Management and Policy Studies, 7(26), 68–82. https://doi.org/10.35631/IJEMP.726006

Barrogo, S. D. (2020, July). Teachers’ perception of standardized classroom observation tool. International Journal of Academic Pedagogical Research, 4(7), 33–37. https://doi.org/10.13140/RG.2.2.16123.13603

Burstein, F., Phillips-Wren, G., Heavin, C., & Szántó, R. (2024). Is anyone listening? Evaluating the impact of decision systems and analytics research. Journal of Decision Systems, 33(sup1), 5–28. https://doi.org/10.1080/12460125.2024.2349450

Charles, V., Garg, P., Gupta, N., & Agrawal, M. (2023). Data analytics and business intelligence: Computational frameworks, practices, and applications. CRS Press.

Dada, R. O., & Taiwo, O. (2024). Records management practices and organizational effectiveness of universities registries in South-West, Nigeria. International Journal of Research and Innovation in Social Science, 8(6), 46–61. https://doi.org/10.47772/IJRISS.2024.806005

Danushka, N. A. S., & Gamage, P. S. Y. (2024, October). Assurance of test authenticity: Power of Table of Specification (TOS). University of Vocational Technology.

Deckert, J., & Wilson, M. (2023). Descriptive research methods. In T. Welsh, J. P. Ambegaonkar, & L. Mainwaring (Eds.), Research methods in the dance sciences (pp. 153–165). University Press of Florida. https://doi.org/10.5744/florida/9780813069548.003.0011

Donlan, A. E., & Byrne, V. L. (2020). Confirming the factor structure of a research-based mid-semester evaluation of college teaching. Journal of Psychoeducational Assessment, 38(7), 866–881.

Fernando, J. G., & Baldelovar, M. (2022). Decision support system: Overview, different types and elements. Technoarete Transactions on Intelligent Data Mining and Knowledge Discovery, 2(2), 13–20. https://doi.org/10.36647/TTIDMKD/02.02.A003

Gauthier, G., Banner, J., & Winer, L. (2025). What is the syllabus for? Revealing tensions through a scoping review of syllabus uses. International Journal for Academic Development, 1–20. https://doi.org/10.1080/1360144X.2025.2465363

Golib, K., & Muhabbat, A. A. (2025, April). Designing syllabus properly. Science and Education Scientific Journal, 2(5), 575-577.

Guanzon, G. S., Shimizu, A., Tabingo, J. J., Garcera, J. B., Adorable, M. J., & Asor, A. P. (2025). Challenges experienced and level of satisfaction of academic personnel with the current deliverables monitoring system. Ignatian International Journal for Multidisciplinary Research, 3(4), 531–542. https://doi.org/10.5281/zenodo.15212485

Hernandez, R. G., Hernandez, R. L., & Bueno, N. F. (2025). Decision support system on faculty profiling using full-text search algorithm: A tool for evaluating faculty performances. Journal Européen des Systèmes Automatisés, 58(4), 689–700. https://doi.org/10.18280/jesa.580403

Hizam, S. M., Akter, H., Sentosa, I., & Ahmed, W. (2021). Digital competency of educators in the virtual learning environment: A structural equation modeling analysis. IOP Conference Series: Earth and Environmental Science, 704, 012023. https://doi.org/10.1088/1755-1315/704/1/012023

Höchtl, J., Parycek, P., & Schöllhammer, R. (2016). Big data in the policy cycle: Policy decision making in the digital era. Journal of Organizational Computing and Electronic Commerce, 26(1–2), 147–169. https://doi.org/10.1080/10919392.2015.1125187

Hossni, M., & Abouelanein, A. E. (2024). Exploring school leadership and teachers’ perspectives on the effectiveness of classroom observation on tracking curriculum implementation: A case study in a private school in Abu Dhabi. Journal for Researching Education Practice and Theory, 6(2), 49–91. https://bspace.buid.ac.ae/handle/1234/2496

Howard, M. C., & Hair, J. F. (2023). Integrating the expanded task-technology fit theory and the technology acceptance model: A multi-wave empirical analysis. AIS Transactions on Human-Computer Interaction, 15(1), 83–110. https://doi.org/10.17705/1thci.00184

Ibrahim, A. A. (2016). Definition, purpose and procedure of developmental research: An analytical review. Asian Research Journal of Arts & Social Sciences, 1(6), 1–6. https://doi.org/10.9734/ARJASS/2016/30478

Issayeva, L. B. (2021, November 22). Progress monitoring in education. Assess.com. https://assess.com/progress-monitoring-in-education/

Jaquilmo, C. A., & Sarmiento, J. R. (2023). Web-based electronic document tracking management system. Global Scientific Journal, 11(5).

Jovanca, J., Suryasari, H., Setiawan, H., & Wella, W. (2023). Syllabus management system and coordinator recommendation system on Universitas Multimedia Nusantara. In 2023 8th International Conference on Business and Industrial Research (ICBIR) (pp. 597–602). IEEE. https://doi.org/10.1109/ICBIR57571.2023.10147476

Justina, I. A., Oyekan, E. A., & Orogbemi, O. M. (2022). A secured cloud-based electronic document management system. International Journal of Innovative Research and Development, 11(12), 38–45. https://doi.org/10.24940/ijird/2022/v11/i12/dec22010

Kabakus, A. K., Bahcekapili, E., & Ayaz, A. (2023). The effect of digital literacy on technology acceptance: An evaluation on administrative staff in higher education. Journal of Information Science, 51(4), 930–941. https://doi.org/10.1177/01655515231160028

Kashaka, N. D. (2024). The role of data analytics in school management. European Journal of Education Studies, 6(10), 76–90.

Kayyali, M. (2023). An overview of quality assurance in higher education: Concepts and frameworks. International Journal of Management, Sciences, Innovation, and Technology, 4(2), 1–4. https://files.eric.ed.gov/fulltext/ED629115.pdf

Kuusisto, M. (2017). Organizational effects of digitalization: A literature review. International Journal of Organization Theory & Behavior, 20(3), 341–362. https://doi.org/10.1108/IJOTB-20-03-2017-B003

Lestari, D. (2023). Decision support system for strategic planning in educational organization: A survey. Journal of Computer Networks, Architecture and High Performance Computing, 6(1), 1–10. https://doi.org/10.47709/cnahpc.v6i1.2976

Malik, A. N. A., & Annuar, S. N. S. (2021). The effect of perceived usefulness, perceived ease of use, reward, and perceived risk toward e-wallet usage intention. In M. H. Bilgin, H. Danis, & E. Demir (Eds.), Eurasian business and economics perspectives (Eurasian Studies in Business and Economics, Vol. 17). Springer. https://doi.org/10.1007/978-3-030-65147-3_8

Messier, N. (2022). Formative assessments. Center for the Advancement of Teaching Excellence at the University of Illinois Chicago. https://teaching.uic.edu/resources/teaching-guides/assessment-grading-practices/formative-

Miller, S. (2017). Developmental research methods (5th ed.). University of Florida Press.

Morris, R., Perry, T., & Wardle, L. (2021). Formative assessment and feedback for learning in higher education: A systematic review. Review of Education, 9(3), e3292. https://doi.org/10.1002/rev3.3292

OECD. (2021). Design and implementation of a comprehensive education monitoring system in Austria. OECD Publishing. https://www.oecd.org/content/dam/oecd/en/publications/reports/2021/11/design-and-implementation-of-a-comprehensive-monitoring-system-in-austria_b0ef7250/956e3d9d-en.pdf

Oladejo, B., & Hadžidedić, S. (2021). Electronic records management – A state of the art review. Records Management Journal, 31(1), 74–88. https://doi.org/10.1108/RMJ-09-2019-0059

Ouyang, Y., Tang, C., Rong, W., Zhang, L., Yin, C., & Xiong, Z. (2017). Task-technology fit aware expectation-confirmation model towards understanding of MOOCs continued usage intention. In Proceedings of the 50th Hawaii International Conference on System Sciences (pp. 174–183). http://hdl.handle.net/10125/41170

Pacursa, L., Alip, E., Do, T. P. T., & Trinh, C. T. (2024). The art of classroom observation: The case of Quirino State University and Can Tho University. CTU Journal of Innovation and Sustainable Development, 16(2), 105–115. https://doi.org/10.22144/ctujoisd.2024.296

Panergayo, A. A., & Aliazas, J. V. (2023). Google Classroom adoption as learning management system in senior high school using technology acceptance model. Jurnal Pendidikan Progresif, 13(2), 871–883. https://doi.org/10.23960/jpp.v13.i2.202355

Peter, G. S., Amit, C. B., Deokar, V., & Patel, N. R. (2023). Machine learning for business analytics: Concepts, techniques and applications in RapidMiner. Wiley.

Rai, R. S., & Selnes, F. (2019). Conceptualizing task-technology fit and the effect on adoption: A case study of a digital textbook service. Information & Management, 56(8), 103161. https://doi.org/10.1016/j.im.2019.04.004

Ramos, R. B., & Anonuevo, A. B. (2024). School heads’ experiences on the conduct of classroom observation. Asian Journal of Education and Social Studies, 50(9), 167–186. https://doi.org/10.9734/ajess/2024/v50i91578

Romero, C., & Ventura, S. (2024). Educational data mining and learning analytics: An updated survey. arXiv. https://doi.org/10.48550/arXiv.2402.07956

Sáiz-Manzanares, M. C., Rodríguez-Díez, J. J., Díez-Pastor, J. F., Rodríguez-Arribas, S., Marticorena-Sánchez, R., & Ji, Y. P. (2021). Monitoring of student learning in learning management systems: An application of educational data mining techniques. Applied Sciences, 11(6), 2677. https://doi.org/10.3390/app11062677

Seraspe, J. R., Salamat, F., Malang, B. P., & Malang, J. D. (2024). Enhancing operational performance and decision-making through a digital data tracking system. International Journal of Multidisciplinary: Applied Business and Education Research, 5(11), 4375–4397. https://doi.org/10.11594/ijmaber.05.11.09

Shinija, M. N. A. (2024). Descriptive research design. ResearchGate. https://doi.org/10.13140/RG.2.2.19205.36325

Silveira, M. G. G., de Souza, L. M., Brandão, L. O., & Franco Brandão, A. A. (2023). Learning analytics to support education for all: Learning from the past. In 2023 IEEE Frontiers in Education Conference (FIE) (pp. 1–8). IEEE. https://doi.org/10.1109/FIE58773.2023.10343491

Silwamba, F. K., & Matela, M. (2025). Design and development of a student record system. Scientific Journal of Engineering and Technology, 2(1), 40–54. https://doi.org/10.69739/sjet.v2i1.424

Simelane-Mnisi, S. (2023). Effectiveness of LMS digital tools used by academics to foster students’ engagement. Education Sciences, 13(10), 980. https://doi.org/10.3390/educsci131

Sugot, J. R. L. P., & Ladia, B. C. B. (2024). Impact of classroom observation tool and results-based performance management system on elementary school teacher performance. Cognizance Journal of Multidisciplinary Studies, 4(4), 257–271. https://doi.org/10.47760/cognizance.2024.v04i04.018

Ukaogba, J., & Nwankwo, I. N. (2020). Record management practices of principals for effective administration of secondary schools in Delta State. International Journal of Innovative Science and Research Technology, 5(6).

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540

Verma, K., Doharey, S., & Verma, P. (2023). Education: Meaning, definition & types. In: Agriculture Extension Education (pp.1-6). S.R. Scientific Publication.

Wang, Z. (2023). Teaching performance evaluation with decision support system. Academic Journal of Computing & Information Science, 6(1), 9–13. https://doi.org/10.25236/AJCIS.2023.060102

WeXL. (n.d.). Syllabus tracker. WeXL Teacher Portal. https://docs.wexledu.com/teacher-portal/syllabus-tracker

Wisniewski, B., & Zierer, K. (2021). Functions and success conditions of student feedback in the development of teaching and teachers. In W. Rollett et al. (Eds.), Student feedback on teaching in schools (pp. 125–138). Springer. https://doi.org/10.1007/978-3-030-75150-0_8

Wolniak, R. (2023). The concept of descriptive analytics. Scientific Papers of Silesian University of Technology: Organization and Management Series, 2023(172), 700–713. https://doi.org/10.29119/1641-3466.2023.172.42

Cite this article:

Salisi, G.P. & Balahadia, F.F. (2025). EduComply: A progress tracking system for compliance in teaching-learning deliverables using decision support system. International Journal of Science, Technology, Engineering and Mathematics, 5(3), 40-78. https://doi.org/10.53378/ijstem.353240