multiple choice
Semantic Attributes Model for Automatic Generation of Multiple Choice Questions
... a multiple choice question generator that measures the understanding of the semantic attributes in a sentence by asking about labels extracted from the given sentence using Semantic Role Labeler (SRL) and ...
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A System for Generating Multiple Choice Questions: With a Novel Approach for Sentence Selection
... Multiple Choice Question (MCQ) plays a major role in educational assessment as well as in active learning. In this paper we present a system that generates MCQs automatically using a sports domain text as ...
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CNN for Text Based Multiple Choice Question Answering
... based multiple choice question answering where questions are based on a particu- lar ...tiple choice question, our model assigns a score to each question-option tuple and chooses the final option ...
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Gender bias in risk aversion: evidence from multiple choice exams
... individual multiple choice tests, in which the existence of a gender di¤erence together with the possibility of a test scrambling e¤ect are alternatively ...
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Crowdsourcing Multiple Choice Science Questions
... Multiple Choice Setting. We used the Aristo ensemble (Clark et al., 2016), and two of its indi- vidual components: a simple information retrieval baseline (Lucene), and a table-based integer linear ...
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Distractor Generation for Multiple Choice Questions Using Learning to Rank
... Multiple choice questions (MCQs) are widely used as an assessment of students’ knowledge and skills. A MCQ consists of three elements: (i) stem, the question sentence; (ii) key, the correct answer; (iii) ...
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Using Multiple Choice Questions to Assist Learning for Information Retrieval
... Multiple choice Questions (MCQ’s) are one of a number of different types of objective assessments, which can either be used for formative and summative assessment (Higgins and Tatham, ...
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Generating Diagnostic Multiple Choice Comprehension Cloze Questions
... This paper describes and evaluates DQGen, which automatically generates multiple choice cloze questions to test a child’s comprehen- sion while reading a given text. Unlike previ- ous methods, it generates ...
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Semantic Similarity of Distractors in Multiple Choice Tests: Extrinsic Evaluation
... developing multiple-choice test items by proposing an NLP-based methodology for construction of test items from instructive texts such as textbook chapters and encyclopaedia ...of ...
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A Multiple Choice Test Recognition System Based on Android and RBFNN
... Abstract. Optical Mark Recognition (OMR) is often used by teachers to help mark students’ test in the form of multiple-choice test. This article describes how to build an offline OMR system which run in ...
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Item Analysis to Identify Quality Multiple Choice Questions in Pharmacology Examination
... Evaluation is an important component of a teaching learning curriculum. Multiple choice questions (MCQs) are used as an objective and reliable tool to evaluate learning performance of students. The aims of ...
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Predicting the Difficulty of Multiple Choice Questions in a High stakes Medical Exam
... Predicting the construct-relevant difficulty of Multiple-Choice Questions (MCQs) has the potential to reduce cost while maintaining the quality of high-stakes exams. In this paper, we propose a method for ...
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Applications of Lexical Information for Algorithmically Composing Multiple Choice Cloze Items
... Figure 6 shows the most simple format of listen- ing cloze items. In this format, students click on the options, listen to the recorded sounds, and choose the option that fit the gap. The item shown in this figure is ...
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Generating Questions and Multiple Choice Answers using Semantic Analysis of Texts
... Exam questions are an indispensable tool for teachers to assess their students’ understanding of ma- terial. Thus, automatic question generation from text is a key natural language processing technology to aid teachers ...
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Framing QA as Building and Ranking Intersentence Answer Justifications
... each multiple choice answer candi- date, where the top-scoring answer candidate is selected as the ...and multiple choice answer candidate vector are ...
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Genetic algorithms for multiple choice problems
... a choice: Should the repaired version substitute the original individual, known as Lamarckian Evolution, or should only the fitness of the original string be changed, known as the Baldwin Effect? Baldwinian style ...
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Computer Aided Generation of Multiple Choice Tests
... The evaluation results clearly show that the construction of multiple-choice test items with the help of the program is much more effective than purely manual construction. We believe that this is the main ...
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What is the added value of relevant and non relevant explanatory videos on comprehension of study materials?
... Current developments in technology give access to different kinds of online study materials which students use more frequently for exam preparation. However, little attention has been paid to the explanatory videos ...
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Using Multiple Imputation for Vote Choice Data: A Comparison across Multiple Imputation Tools
... As the base for calculating vote share of each team of candidates, a subset data forTEDS2012Pis created to include only those who voted (N = 1629) 6 . As Table 1 shows, in this subset the missing rate for vote ...
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Good question! In praise of multiple choice
... My remedy for what I saw as gross ignorance was to change the learning outcomes, so that students were required to demonstrate basic knowledge and conceptual understanding on a variety of topics, as well as producing a ...
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