Examination questions classification according to Bloom’s Taxonomy uses Natural Language Processing (NLP) approach, a series of text processing approach that generally can divided into the keywords identification stage and then the identified keywords classification to Bloom’s Taxonomy levels stage. Since this NLP approach is a pipeline processes, the keywords identification stage’s performance in term of accuracy is affecting the subsequent stage - the identified keywords classification and subsequently limits the final accuracy performance of the questions classification. The keywords identification stage’s performance is mainly depending on the effectiveness of Part-Of-Speech (POS) tagging. Thus, this paper aims to identify the best performing POS tagger in keywords identification stage and enhance the tagger’s performance with rule-based approach to achieve high accuracy performance and benefit the subsequent keyword classification and then the questions classification accuracy. The Perceptron tagger and the Stanford POS tagger are selected to be evaluated their performance in identifying the keywords of the randomly selected 200 examination questions from STEM subjects. This paper has observed the Stanford POS tagger is the best performing tagger in POS tagging with accuracy of 80.5%. Some rules are applied to the POS tagging to improve the accuracy further to 91.5%.
Requirement Engineering is an important process in Requirement phase of Software Development life cycle. Software Development project cannot be done without proper management of the requirement. All the requirement need to be log. It will be used for business analyst, stakeholder, programmer and team member. Unmanaged requirement will give a higher percentage of project failure. The requirement keeps on changing. For that reason, electronic Industrial Environment (eLIN) system will help the student in order to learn and manage the requirement. There are two (2) options in developing the eLIN system, that are Proprietary and Open Source software. Proprietary and Open Source software tools have a significant influence in software development nowadays. Software development projects face a problem in choosing a proprietary software tools because the cost is expensive and most companies have a tight budget to purchase it. To that reason, this paper will discuss on the eLIN system that can be supported to the PjBL in Requirement Engineering to enhance the undergraduate skill particularly. Future work should be carried out to design the framework of PjBL based on comparative study.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.