Published June 26, 2024 | Version v1
Journal article Open

Holistic Evaluation of Academic Performance: A Comprehensive Approach

Description

The "Holistic Evaluation of Academic Performance" project aims to design and implement a systematic and inclusive assessment strategy to measure various facets of students' achievements and progress. The primary objective is to move beyond traditional examination-centric evaluations and incorporate diverse criteria such as project performance, class participation, and self-assessment. This multifaceted approach seeks to provide a more accurate representation of a student's capabilities and areas for improvement.

The education system has undergone numerous changes to stand unhindered during the COVID-19 pandemic. All over the world, the educational system has changed its teaching and learning methods. One of its important aspects, evaluating the students’ overall performance has become a complex task with these changing patterns. The traditional evaluation approach may not be the best fit anymore since multiple factors are required to make an all-inclusive, multifaceted decision to keep up with the upgrades in evaluation schemes and patterns.

Hence, we have proposed, designed, and implemented a solution, a fuzzy logic-based model. This model, while showing the difference between the traditional approach and the inference system, will enable educational institutes not only to evaluate a student’s performance but also to understand the students comprehensively.

Files

Holistic Evaluation of Academic -Formatted Paper.pdf

Files (443.8 kB)

Additional details

References

  • 1. A Study of Academic Performance Evaluation Using Fuzzy Logic Techniques" by Saurabh Pal. DOI:10.1109/IndiaCom.2014.6828010
  • 2. A holistic componential model for assessing translation student performance and competency" Network of Scientific Journals from Latin America, the Caribbean, Spain, and Portugal. E-ISSN: 2011-799X
  • 3. "Student Portfolio and Profiles: A Holistic Approach to Multiple Assessment in Whole Language Classrooms" By Enoki, Donald Y. TM 019 108
  • 4. Holistic approach to predicting students' performance in higher educational institutions-a conceptual framework" by Olugbenga Adejo and ThomasConnoly. DOI:10.5121/csit.2017.70607
  • 5. E. N. Ogor, "Student Academic Performance Monitoring and Evaluation Using Data Mining Techniques," Electronics, Robotics and Automotive Mechanics Conference (CERMA 2007), Cuernavaca, Mexico, 2007, pp. 354-359, doi: 10.1109/CERMA.2007.4367712.
  • 6. Mark G. Urtel. "Assessing Academic Performance between Traditional and Distance Education Course Formats." Journal of Educational Technology & Society 11, no. 1 (2008): 322–30. http://www.jstor.org/stable/jeductechsoci.11.1.322.
  • 7. Visual Studio Code(1.89) [Available Online] https://code.visualstudio.com/ Python(3.5)[ Available online]: https://www.python.org/downloads/release/python-350