A Framework for Efficient and Accurate Automated CLO and PLO Assessment


  • Hafedh Mahmoud Zayani Department of Electrical Engineering, College of Engineering, Northern Border University, Saudi Arabia
  • Walid Abdelfattah Department of Mathematics, College of Arts and Science, Northern Border University, Saudi Arabia
  • Rahma Sellami Department of Computer Science, Applied College, Northern Border University, Saudi Arabia
  • Jihane Ben Slimane Department of Computer Sciences, Faculty of Computing and Information Technology, Northern Border University, Saudi Arabia
  • Amani Kachoukh Department of Information Systems, Faculty of Computing and Information Technology, Northern Border University, Saudi Arabia
Volume: 14 | Issue: 2 | Pages: 13362-13368 | April 2024 | https://doi.org/10.48084/etasr.6846


Accurate and efficient learning outcome assessment is crucial for ensuring high-quality education, but traditional methods can be time-consuming, error-prone, and inconsistent. We developed a novel Excel Macro-enabled framework for automating the evaluation of Course Learning Outcomes (CLOs) and Program Learning Outcomes (PLOs) in higher education. The framework consists of two Excel Macro-enabled workbooks. The course section workbook guides instructors through the assessment process, automatically calculates CLO achievement levels, and generates reports for the coordinators and the Head of Department (HoD). The course-level workbook aggregates data from all course sections and calculates CLO and PLO achievement levels relative to the course. Proven successful in three FCIT (Faculty of Computer and Information Technology) programs at NBU (Northern Border University), the framework demonstrably reduces assessment time and errors, improves consistency, and facilitates data-driven program improvement, making it a valuable tool for enhancing program quality.


Course learning outcomes (CLOs), Program Learning Outcomes (PLOs), assessment automation, Excel macro-enabled workbooks, higher education, accreditation


Download data is not yet available.


A. A. Glatthorn, "Outcome-Based Education: Reform and the Curriculum Process," Journal of Curriculum and Supervision, vol. 8, no. 4, pp. 354–364, 1993.

T. R. Guskey, "Defining the Differences between Outcome-Based Education and Mastery Learning," School Administrator, vol. 51, no. 8, pp. 34–37, 1994.

A. Alyasin, R. Nasser, M. El Hajj, and H. Harb, "Assessing Learning Outcomes in Higher Education: From Practice to Systematization," TEM Journal, pp. 1593–1604, Aug. 2023.

M. A. Al-Shargabi, "An Integrated Decision Support Model For Enhancing Continuous Improvement Of Academic Programs," Engineering, Technology & Applied Science Research, vol. 9, no. 5, pp. 4835–4841, Oct. 2019.

N. Shahmohammadi, "The Impact of Total Quality Management on the Effectiveness of Educational Programs of Karaj First Grade High Schools," Engineering, Technology & Applied Science Research, vol. 8, no. 1, pp. 2433–2437, Feb. 2018.

E. A. M. Jibreel, N. M. A. Zakari, and J. A. S. Smida, "Develop assessment framework inspiring-Saudi Arabias Vision 2030 for health program in higher education: an experience from Al Maarefa University, Riyadh, Saudi Arabia," International Journal of Medicine in Developing Countries, vol. 4, no. 8, pp. 1233–1233, Jul. 2020.

"National Commission for Academic Accreditation and Assessment," Eucation and Training Evaluation Commission. https://beta.etec.gov.sa:3443.

"Home - ABET." https://www.abet.org/.

A. B. Altamimi, "Big Data in Education: Students at Risk as a Case Study," Engineering, Technology & Applied Science Research, vol. 13, no. 5, pp. 11705–11714, Oct. 2023.

H. Zaghloul, "Assessment of CLOs, PLOs, ILOs, SLOs: An academic programme for educational theatre as a model," The Education and science journal, vol. 25, no. 6, pp. 99–125, Jun. 2023.

"Educational Technology Services | Blackboard | North America." https://www.blackboard.com/.

"D2L | Online Learning Platform | Creators of the Brightspace LMS Software," D2L, Feb. 14, 2022. https://www.d2l.com/.

"ELMS Learning Network." https://www.elmsln.org/.

"Open-Assistant/oasst-model-eval." Open-Assistant, Jan. 04, 2024, [Online]. Available: https://github.com/Open-Assistant/oasst-model-eval.

N. Zaki, S. Turaev, K. Shuaib, A. Krishnan, and E. Mohamed, "Automating the mapping of course learning outcomes to program learning outcomes using natural language processing for accurate educational program evaluation," Education and Information Technologies, vol. 28, no. 12, pp. 16723–16742, Dec. 2023.


How to Cite

H. M. Zayani, W. Abdelfattah, R. Sellami, J. Ben Slimane, and A. Kachoukh, “A Framework for Efficient and Accurate Automated CLO and PLO Assessment”, Eng. Technol. Appl. Sci. Res., vol. 14, no. 2, pp. 13362–13368, Apr. 2024.


Abstract Views: 228
PDF Downloads: 150

Metrics Information

Most read articles by the same author(s)