In this study, a novel method for generating multiple-choice tests is presented, which extracts the required number of same levels difficulty in single attempt and approximates level requirement given by users. We propose an approach using parallelism Pareto optimization multi-swarm migration particle swarm (PSO) algorithm. Multi-PSO proposed shortening computing time. The PSOs increases divers...

Automatic multiple-choice question generation (MCQG) is a useful yet challenging task in Natural Language Processing (NLP). It the of automatic correct and relevant questions from textual data. Despite its usefulness, manually creating sizeable, meaningful time-consuming for teachers. In this paper, we present an NLP-based system MCQG Computer-Based Testing Examination (CBTE).We used NLP techni...

This quasi-experimental study aimed to compare the effect of different modes and item types of multiple-choice (MC) test items on advanced EFL learners’ listening comprehension and perception. To this end, 80 advanced EFL learners, aging 18 to 30, were selected. The participants took a listening test including dialogue-completion and question and answer multiple-choice items presented in writte...

Background: It is important to learn how to study for different examinations. The objective of the current study is to explore whether the assessment method selection would significantly affect the studying and learning approaches of students. Methods: This descriptive-analytical research consisted of 191 first-year undergraduate nursing students from three nursing schools and was conducted dur...

The article presents the experiments carried out as part of the participation in the main task (English dataset) of QA4MRE@CLEF 2013. In the developed system, we first combine the question Q and each candidate answer option A to form (Q , A) pair. Each pair has been considered a Hypothesis (H). We have used Morphological Expansion to rebuild the H. Then, each H has been verified by assigning a ...

THE MULTIPLE CHOICE QUESTION EXAMINATION has been shown to be a reliable method of measuring a candidate's ability to recognize and recall the facts that are relevant to a doctor's training (Wood 1961, Hubbard and Clemans 1961). Because the answers to multiple choice'questions are predetermined, they can be scored by a computer; this can be programmed to give correlations and tables as required...