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Multiple Choice Question Generation

Multiple Choice Question Generation Utilizing An Ontology

Multiple Choice Question Generation Utilizing An Ontology

... provide question-specific ...the question. For instance, for the question “What contains chromosome, is an organelle of eukary- otic cell, and is a type of organelle? ...

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Automatic distractor generation for multiple-choice English vocabulary questions

Automatic distractor generation for multiple-choice English vocabulary questions

... Nevertheless, few studies on automatic question generation have focused on distractor generation. Haladyna (2004) pointed out that generating distractors was the most diffi- cult part of ...

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Semantic Attributes Model for Automatic Generation of Multiple Choice Questions

Semantic Attributes Model for Automatic Generation of Multiple Choice Questions

... a question, the question sentence is chosen from the knowledge base and the keyword asked for is considered the labeled word or entity word identified by SENNA tool and is substituted with a ...the ...

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Distractor Generation for Multiple Choice Questions Using Learning to Rank

Distractor Generation for Multiple Choice Questions Using Learning to Rank

... Multiple choice questions (MCQs) are widely used as an assessment of students’ knowledge and ...the question sentence; (ii) key, the correct answer; (iii) distractors, alternative answers used to ...

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Semi automatic Generation of Multiple Choice Tests from Mentions of Semantic Relations

Semi automatic Generation of Multiple Choice Tests from Mentions of Semantic Relations

... articles (Krause et al., 2014), and measured the pro- ductivity of our approach for automatic question and answer generation. For these first experiments, we used the available gold-standard entity annota- ...

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Automatic Question Generation for Vocabulary Assessment

Automatic Question Generation for Vocabulary Assessment

... In the REAP system, users are automati- cally provided with texts to read targeted to their individual reading levels. To find ap- propriate texts, the user’s vocabulary knowledge must be assessed. We describe an ...

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Multiple Choice Question Corpus Analysis for Distractor Characterization

Multiple Choice Question Corpus Analysis for Distractor Characterization

... These two notions meet the kind of criteria used by works including distractor generation, such as (Mitkov et al., 2006; Karamanis et al., 2006; Lee and Seneff, 2007; Zweig and Burges, 2012). The first two base ...

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Tips for using mobile audience response systems in medical education

Tips for using mobile audience response systems in medical education

... The ARSs provide an exceptional window into the student’s learning experience and offer the capacity to gather feedback on your lecture and improve its effectiveness. Each question allows for immediate feedback on ...

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Towards natural language question generation for the validation of ontologies and mappings

Towards natural language question generation for the validation of ontologies and mappings

... first question generation systems proposed to assess text understand- ...automatic question generation ...different question types. Mitkov and Ha [18] tackled the generation of ...

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Programme costs in the economic evaluation of health interventions

Programme costs in the economic evaluation of health interventions

... the costs of all possible interventions in their settings. WHO-CHOICE is, therefore, assessing the costs and ef- fects of a range of interventions for 14 epidemiologic sub regions of the world. The provision of ...

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Follow up Question Generation

Follow up Question Generation

... generated question is based on the first clause (I (A0) would (AM-MOD) love (V) to work here (A1)) that does not contain AM- ...generated question ‘Where do you love to work here?’ This question is ...

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Multi-Matching Network for Multiple Choice Reading Comprehension

Multi-Matching Network for Multiple Choice Reading Comprehension

... our Question-Passage- Answer Matching to Hier-Co-Matching, we adopt the flatten structure instead of hierarchical structure used in Hier-Co- Matching when encoding ...

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The Comprehension of Synonyms by Saudi EFL Learners: Acquisition and Pedagogical Implications

The Comprehension of Synonyms by Saudi EFL Learners: Acquisition and Pedagogical Implications

... in question (Liu, ...in question and select another less salient synonym, whose prototypical meaning fits the concept better than the most salient ...

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Evaluating Rewards for Question Generation Models

Evaluating Rewards for Question Generation Models

... In this paper, we investigate the use of external reward sources for fine tuning question genera- tion models to counteract the lack of task-specific training data. We show that although fine tuning can be used to ...

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CODAH: An Adversarially Authored Question Answering Dataset for Common Sense

CODAH: An Adversarially Authored Question Answering Dataset for Common Sense

... ral question answering systems, based on large pre-trained models of language, have already achieved near-human-level performance on commonsense knowledge ...for question acquisition in which workers author ...

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Enhancing University Student Engagement Using Online Multiple Choice  Questions and Answers

Enhancing University Student Engagement Using Online Multiple Choice Questions and Answers

... For many education providers, student engagement can be a major issue. Given the positive cor- relation between engagement and good performance, providers are continually looking for ways to engage students in the ...

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Towards Topic to Question Generation

Towards Topic to Question Generation

... better question-asking facilities in in- telligent tutoring ...Language Generation, Intelligent Tutoring System, and Information Retrieval communities have currently identified the Text-to-Question ...

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