[PDF] Top 20 Distractor Generation for Multiple Choice Questions Using Learning to Rank

... Feature Analysis We conduct a feature analy- sis to have more insights on the proposed feature set. Feature importance is calculated by “mean de- crease impurity” using RF. It is defined as the total decrease in ... See full document

... Each distractor set contains three distractors that are either human-made, generated by the baseline method or generated by the proposed ...in multiple-choice ... See full document

... Answering multiple-choice questions in a setting in which no supporting documents are explicitly provided continues to stand as a core problem in natural language ...semantically rank ... See full document

... 80 questions (20 per module) to obtain the required Answer Score of ...reward generation of high quality MCQs and depended on an external quality rating of one of each students ’ MCQs in each ... See full document

... writing multiple-choice questions has been described as one of the most challenging and time-consuming parts of the item-writing ...ing distractor suggestions for multiple-choice ... See full document

... A major limitation was the fact of the poor quality of the MCQ formulated by the majority of the students. Probably, the students’ effort for the generation of ques- tions was small and the objective of a deep ... See full document

... where s(p) is the non-normalised score for pattern p, from the candidate pattern set P. The normalised scores are then averaged across different methods and used to produce a meta-ranking of the candidate patterns. Given ... See full document

... generate questions from multiple ...over multiple sentences. The second method generates questions using patterns extracted from the rela- tions between entities and events in a ...that ... See full document

... Feature-based distractor generation mod- els (Sakaguchi et ...biology questions. Our model uses a random for- est to rank candidates; it is agnostic towards tak- ing cloze or humanly-generated ... See full document

... question generation systems proposed to assess text understand- ...WH questions from text, relying on hand-crafted trans- formation patterns and a statistical ranking ...specific questions ... See full document

... Extended Rationale: This question asks students to determine the percentage of a real estate agency’s fee that a certain real estate agent received as commission for selling a house. Students must include a set of ... See full document

... Which of the following gives the total change in linear momentum of the spheres as a result of the collision.. A..[r] ... See full document

... we nevertheless gave the children the choice between the correct token, the associate distractor.. and a novel distractor, to see how their choice would be affected by first answering th[r] ... See full document

... The quantitative data obtained was tested for normal distribution using the Kolmogorov-Smirnov-Test in SPSS 24. Afterwards it was analyzed descriptively with a focus on mean values and standard deviations (sd) ... See full document

... rate questions for difficulty and quality. Questions can be tagged to group them into themes and ...best questions and those with the most correct answers also act to engage partici- pants and ... See full document

... The third and hardest type of distracter makes the completed sentence meaningful in isolation but inconsistent with the preceding global context. This type of distracter is essential in testing inter- sentential ... See full document

... There is also the need to consider the type of intellectual process that a given question is assessing. Candidates of all abilities should answer a question that assesses knowledge, while higher-order questions ... See full document

... Both main effects were significant. With regard to proficiency, there was a significant difference between each group and, on the basis of Cohen ’ s (1998b) framework, the effect size was large: F (2, 372) = 166.28, p = ... See full document

... Figure 1: MCQ example (from QA4MRE 2011) A difficulty when creating a MCQ is to choose distrac- tors (Rodriguez, 2005): the quality of the MCQ relies on it. Many guidelines have been proposed for distractor gen- ... See full document

... Algorithm 1AMCQGS Begin Build the Knowledge Base by extracting the sentences which have the semantic attributes from the dataset Select a question sentence and identify the semantic type[r] ... See full document