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Assistive tool for the Evaluation of Online Exam Papers in Tertiary Education
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 184 - Number 42 |
| Year of Publication: 2023 |
| Authors: Nuwan Perera, Dasuni Nawinna |
10.5120/ijca2023922525
|
Nuwan Perera, Dasuni Nawinna . Assistive tool for the Evaluation of Online Exam Papers in Tertiary Education. International Journal of Computer Applications. 184, 42 ( Jan 2023), 33-38. DOI=10.5120/ijca2023922525
Abstract
Setting exam papers is a strenuous and time-consuming task for academics in the higher education. Teachers must consider a range of aspects such as the academic year of class, the learning objectives of the course, the duration of exam, level of difficulty in questions, and the scoring system to ensure there is no bias, discrimination, or prejudice. At present, the assessments are more frequently conducted through online platforms. To ensure the quality of assessment, higher education institutions enforce standards that are evaluated through the moderation process. Currently, the moderation of exam papers is carried out manually by senior academics. This is time consuming task as it requires referring several documents to verify quality aspects of the exam paper. This paper presents the development of an automated system to facilitate the educators to evaluate their online exam paper’s quality. Initially, an online survey has been carried out among the educators. The system is based on the Bloom’s Revised Taxonomy model, Natural Language Processing, and Python for developing task and HTML and CSS for template creating. The system makes the process of paper setting and moderation more efficient and facilitate producing more quality assessments in higher education domain.
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