It is very likely that, at least once in their lifetime, everyone has answered a multiplechoice test. Multiple-choice tests are considered an effective technique for knowledge assessment, requiring a short response time and with the possibility of covering a broad set of topics. Nevertheless, when it comes to their creation, it can be a time-consuming and labour-intensive task. Here, the genera...

background and purpose: multiple choice tests are the most common type of tests used in evaluating the general english knowledge of the students in most medical universities, however the efficacy of these tests are not examined precisely. we compare and examine the integrative tests and discrete point tests as   measures of the english language knowledge of medical students. methods: three test...

Ensemble methods are arguably the most trustworthy techniques for boosting the performance of machine learning models. Popular independent ensembles (IE) relying on naı̈ve averaging/voting scheme have been of typical choice for most applications involving deep neural networks, but they do not consider advanced collaboration among ensemble models. In this paper, we propose new ensemble methods sp...

In this project, we designed multiple featurelizers to extract information and answer multiple choice reading comprehension questions. Given a triple of passage question and answer, the featurelizer will generate a set of features which are designed using robust NLP tools. We then feed generated features into a neural network classifier which gives a probability score for each answer. The featu...

This paper presents the current state of a work in progress, whose objective is to better understand the effects of factors that significantly influence the performance of Latent Semantic Analysis (LSA). A difficult task, which consists in answering (French) biology Multiple Choice Questions, is used to test the semantic properties of the truncated singular space and to study the relative influ...

With minimal training in assessment design, professors must generate high quality examinations that fairly assess student accomplishment of course objectives. Multiple choice questions are frequently used for this assessment, but often do not address learning objectives, are misinterpreted, and if reused, may challenge the integrity of some students. It is proposed that computer aids for genera...

The present study addresses the following question: if among a group of decision making units, the decision maker is required to increase inputs and outputs to a particular unit in which the DMU, with respect to other DMUs, maintains or improves its current efficiencylevel, how much should the inputs and outputs of the DMU increase? This question is considered as a problem of inverse data envel...

In this paper we report the results of an experiment designed to test the hypothesis that when faced with a question involving the inverse direction of a reversible mathematical process, students solve a multiple-choice version by verifying the answers presented to them by the direct method, not by undertaking the actual inverse calculation. Participants responded to an online test containing e...