Implementation of EZmarking Application for Educators
The process of grading complex project management evaluations, particularly those involving Gantt chart-based assessments, is often time-consuming and prone to inconsistencies. Current grading tools are ill-equipped to address the need for precision when applying fractional marks, such as 0.25 and 0.5, which are common in these evaluations. To address this issue, EZmarking, an innovative grading calculator, has been developed to revolutionize the evaluation process for educators. Designed with intuitive and simplified buttons, the calculator allows users to apply marks of 1, 1.5, 2, 0.5, 0.25, -0.5, and -0.25 effortlessly by streamlining grading processes and reducing errors. The targeted design aligns with marking schemes that rely heavily on precise fractional scoring by ensuring accuracy and consistency in evaluations, particularly in final tests and assessments for project management courses.The impact of EZmarking extends beyond efficiency as it offers educators a tool that enhances objectivity and saves time so they could focus more on qualitative feedback for students. Furthermore, its potential for commercialization is significant as it addresses a niche but critical need in the education sector. It is particularly appealing to higher education institutions, vocational training centers, and professional certification bodies that employ detailed marking rubrics. EZmarking’s compact design, affordability, and ease of use make it an ideal product for mass production and global distribution. By transforming how educators evaluate project-based learning outcomes, EZmarking simplifies the grading process and contributes to the broader goals of promoting fairness and accuracy in education. This innovation is poised to make a meaningful impact in the education industry by aiming to provide consistency in assessment.
Institutions
- Universiti Teknologi MARA (MY)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-02-28
- DOI
- https://doi.org/10.5281/zenodo.14861535
- Primary Topic
- Advanced Statistical Modeling Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00