Improve the Output from a MCQ Test Item Generator Using Statistical NLP

Foster, Robert M.

doi:10.1109/icalt.2010.104

Cited by 2 publications

(1 citation statement)

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“…In Multiple Choice Questions (MCQs) exam, students navigate from one question to other by clicking the next button, skip the questions for difficult to answer, look up for the hint, change the answer by clicking the review question button and finish the exam [3,4,5]. Students' such skills and answering style creates different types of navigation patterns.…”

Section: Introductionmentioning

confidence: 99%

Building a Descriptive Exam Model for Student Performance using Process Mining Techniques in Examaize System

Barik*

2020

IJITEE

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Paper The objective of this research paper is to determine the understanding of students’ course contents and evaluate student performance according to expectations. There are predefined navigation models available to answer Multiple Choice Questions (MCQs). The individual student responds to these questions in their navigation pattern that results in various Student Performance Outcomes. The research presents the process mining techniques to evaluate students’ answers in the MCQs predefined navigation model in the exaMAIZE Assessment System. This research shows that students navigate all the twenty-five questions according to their way of answering the exam, where seven questions are under high frequency and later analyze to revise the answer on suspicion or difficult. The experiment compared Student Exam Outcomes with the Student Performance Outcomes of each outcome, and the frequency of navigating a question to find out individual student Strengths and Weaknesses. This work can be extended future development of efficient process mining algorithms by applying the next academic session to improve student performance

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Section: Introductionmentioning

confidence: 99%