Enhancing the Direct Assessment Method for ABET Accreditation: A Proposal for a Lightweight, Comprehensive, Precise, and Informative Approach

Year : 2024 | Volume :15 | Issue : 02 | Page : –
By

Qutaiba Ibrahim Ali

  1. Professor Department of Computer Engineering, University in Mosul, Mosul Iraq

Abstract

This paper introduces a new method aimed at improving the direct assessment technique used for assessing students in the context of ABET accreditation. The traditional direct assessment method has long been utilized for ABET accreditation, involving steps such as goal identification, assessment planning, selection of assessment instruments, data collection and analysis, interpretation and evaluation, and feedback and improvement. While this approach has served as a valuable tool for evaluating student learning outcomes, it faces challenges related to complexity, resource-intensive requirements, and potential gaps in assessment coverage. Our proposed approach seeks to overcome the shortcomings of current assessment methods by proposing a streamlined, thorough, accurate, and insightful framework. By utilizing advancements in educational technology and teaching methods, this paper seeks to enhance ABET accreditation procedures, promoting ongoing enhancements in engineering education.

Keywords: Student outcome assessment, ABET accreditation, Assessment methodology, Assessment metrics, Continuous improvement, educational quality

[This article belongs to Journal of Computer Technology & Applications(jocta)]

How to cite this article: Qutaiba Ibrahim Ali. Enhancing the Direct Assessment Method for ABET Accreditation: A Proposal for a Lightweight, Comprehensive, Precise, and Informative Approach. Journal of Computer Technology & Applications. 2024; 15(02):-.
How to cite this URL: Qutaiba Ibrahim Ali. Enhancing the Direct Assessment Method for ABET Accreditation: A Proposal for a Lightweight, Comprehensive, Precise, and Informative Approach. Journal of Computer Technology & Applications. 2024; 15(02):-. Available from: https://journals.stmjournals.com/jocta/article=2024/view=152440


References

  1. A. Anwar, D. Richards, A comparison of EC and ABET accreditation criteria. J. Prof. Issues Eng. Educ. Pract. 2018, 144.
  2. R. Bachnak, S. Marikunte, A. Shafaye, Fundamentals of ABET accreditation with the newly approved changes. In Proceedings of the ASEE Annual Conference and Exposition, Tampa, FL, USA, 18 June 2019; pp. 16–19.
  3. Q. I. Ali, ,’An In-depth Comparative Study of Different ABET Accredited Computer Engineering Programs Using Self Assessment Reports’, Al-Rafidain Engineering Journal (AREJ), 28(2), 2023, pp. 226-236. doi: 10.33899/rengj.2023.137672.12244.
  4. Q. I. Ali, Surveying Different Student Outcome Assessment Methods for ABET Accredited Computer Engineering Programs. Research Reports on Computer Science, 2(1), 2023, 56–76. https://doi.org/10.37256/rrcs.2120232577
  5. Khan IH. A Unified Framework for Systematic Evaluation of ABET Student Outcomes and Program Educational Objectives. International Journal of Modern Education & Computer Science. 2019 Nov 1;11(11).
  6. N. Ahmad, A. Qahmash, Implementing Fuzzy AHP and FUCOM to evaluate critical success factors for sustained academic quality assurance and ABET accreditation. PLoS ONE 2020, 15, e0239140.
  7. H. Alhakami, B. Al-Masabi, T. Alsubait, Data analytics of student learning outcomes using Abet course files. In Proceedings of the Science and Information Conference, London, UK, 16–17 July 2020; Springer: Cham, Germany, 2020; pp. 309–325.
  8. M.-U.-Z. Dawood, K. A. Buragga, A. R. Khan, and N. Zaman, “Rubric based assessment plan implementation for Computer Science program: A practical approach,” in Proc. IEEE Int. Conf. Teach., Assessment Learn. Eng. (TALE), Aug. 2013, pp. 551-555.
  9. K. Schoepp, M. Danaher, and A. A. Kranov, “The computing professional skills assessment: An innovative method for assessing ABET’s student outcomes,” in Proc. IEEE Global Eng. Educ. Conf. (EDUCON), Apr. 2016, pp. 45-52.
  10. W. Hussain, W. Spady, M. Naqash, S. Khan, B. Khawaja, Conner, L. ABET Accreditation During and After COVID19-Navigating the Digital Age. IEEE Access 2020, 8, 218997–219046.
  11. A. Karimi, R. Manteufel, Preparation of Documents for ABET Accreditation during the COVID-19 Pandemic. In Proceedings of the ASEE 2021 Gulf-Southwest Annual Conference, Waco, TX, USA, 24–26 March 2021.
  12. O. Mohamed, Z. Bitar, A. Abu-Sultaneh, W. Elhaija, A simplified virtual power system lab for distance learning and ABET accredited education systems. Int. J. Electr. Eng. Educ. 2021.
  13. E. Essa, A. Dittrich, S. Dascalu, and F. C. Harris, Jr, “ACAT: A web-based software tool to facilitate course assessment for ABET accreditation,” in Proc. 7th Int. Conf. Inf. Technol., New Gener., Apr. 2010, pp. 88-93.
  14. W. Lam, H. Xie, D. Liu, K. Yung, Investigating Online Collaborative Learning on Students’ Learning Outcomes in Higher Education. In Proceedings of the 2019 3rd International Conference on Education and E-Learning (ICEEL 2019), Barcelona, Spain, 5–7 November 2019; pp. 13–19.15.
  15. I. Cabezas, “On combining gamification theory and ABET criteria for teaching and learning engineering,” in Proc. IEEE Frontiers Educ. Conf. (FIE), Oct. 2015, pp. 1-9.
  16. F. D. McKenzie, R. R. Mielke, and J. F. Leathrum, “A successful EACABET accredited undergraduate program in modeling and simulation engineering (M&SE),” in Proc. Winter Simul. Conf. (WSC), Dec. 2015, pp. 3538#3547.
  17. V. Peridier, Faculty-directed continuous improvement regimen with intentional ABET/SO 1–7 Scaffolding. In Proceedings of the ASEE Virtual Annual Conference Experience, College Park, MD, USA, 22–26 June 2020.
  18. C. Zambrano, Continuous improvement model to systematize curricular processes in the context of ABET accreditation. In Proceedings of the International Conference on Frontiers in Education: Computer Science and Computer Engineering (FECS), Las Vegas, NV, USA, 29 July–1 August 2019; pp. 88–93.
  19. G. Rathy, P. Sivasankar, T. Gnanasambandhan, Developing a knowledge structure using outcome based education in power electronics engineering. Procedia Comput. Sci. 2020, 172, 1026–1032.
  20. C. Lavanya, J. Murthy, S. Kosaraju, Assessment practices in outcome-based education: Evaluation drives education. In Methodologies and Outcomes of Engineering and Technological Pedagogy; IGI Global: Hershey, PA, USA, 2020; pp. 50–61.
  21. A. Manzoor, H. Aziz, M. Jahanzaib, A. Wasim, S. Hussain, Transformational model for engineering education from content-based to outcome-based education. Int. J. Contin. Eng. Educ. Life-Long Learn. 2017, 27, 266.
  22. Y. Xu, P. Liu, P. Tang, Exploration of outcome-based computational thinking education programs for teachers. In Proceedings of the 2nd International Conference on E-Society, E-Education and E-Technology (ICSET 2018), Taipei, Taiwan, 13–15 August 2018; Association for Computing Machinery: New York, NY, USA, 2018; pp. 123–126.
Regular Issue Subscription Review Article
Volume 15
Issue 02
Received April 10, 2024
Accepted April 25, 2024
Published June 29, 2024
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