{"title":"为代码理解选择题生成合理的干扰因素","authors":"Milan J. Srinivas, Michelle M. Roy, Viraj Kumar","doi":"10.1109/T4E.2019.00012","DOIUrl":null,"url":null,"abstract":"Code comprehension is a critical skill that novice programmers must master. We develop a semi-automatic tool to help instructors rapidly create code comprehension Multiple-Choice Questions (MCQs). We conducted a preliminary survey with 10 MCQs and 10 respondents, and the results suggest that our tool can generate plausible distractors for these MCQs.","PeriodicalId":347086,"journal":{"name":"2019 IEEE Tenth International Conference on Technology for Education (T4E)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Towards Generating Plausible Distractors for Code Comprehension Multiple-Choice Questions\",\"authors\":\"Milan J. Srinivas, Michelle M. Roy, Viraj Kumar\",\"doi\":\"10.1109/T4E.2019.00012\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Code comprehension is a critical skill that novice programmers must master. We develop a semi-automatic tool to help instructors rapidly create code comprehension Multiple-Choice Questions (MCQs). We conducted a preliminary survey with 10 MCQs and 10 respondents, and the results suggest that our tool can generate plausible distractors for these MCQs.\",\"PeriodicalId\":347086,\"journal\":{\"name\":\"2019 IEEE Tenth International Conference on Technology for Education (T4E)\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE Tenth International Conference on Technology for Education (T4E)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/T4E.2019.00012\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE Tenth International Conference on Technology for Education (T4E)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/T4E.2019.00012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Towards Generating Plausible Distractors for Code Comprehension Multiple-Choice Questions
Code comprehension is a critical skill that novice programmers must master. We develop a semi-automatic tool to help instructors rapidly create code comprehension Multiple-Choice Questions (MCQs). We conducted a preliminary survey with 10 MCQs and 10 respondents, and the results suggest that our tool can generate plausible distractors for these MCQs.