Investigating Crowdsourcing to Generate Distractors for Multiple-Choice Assessments
| العنوان: | Investigating Crowdsourcing to Generate Distractors for Multiple-Choice Assessments |
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| المؤلفون: | Linda Oliva, Enis Golaszewski, Spencer Offenberger, Geoffrey L. Herman, Peter A. H. Peterson, Alan T. Sherman, Travis Scheponik |
| المصدر: | Advances in Intelligent Systems and Computing ISBN: 9783030312381 NCS |
| بيانات النشر: | Springer International Publishing, 2019. |
| سنة النشر: | 2019 |
| مصطلحات موضوعية: | Concept inventory, business.industry, Process (engineering), Computer science, 05 social sciences, 050301 education, Crowdsourcing, 01 natural sciences, Data science, 0103 physical sciences, 010306 general physics, business, 0503 education, Multiple choice |
| الوصف: | We present and analyze results from a pilot study that explores how crowdsourcing can be used in the process of generating distractors (incorrect answer choices) in multiple-choice concept inventories (conceptual tests of understanding). To our knowledge, we are the first to propose and study this approach. Using Amazon Mechanical Turk, we collected approximately 180 open-ended responses to several question stems from the Cybersecurity Concept Inventory of the Cybersecurity Assessment Tools Project and from the Digital Logic Concept Inventory. We generated preliminary distractors by filtering responses, grouping similar responses, selecting the four most frequent groups, and refining a representative distractor for each of these groups. |
| ردمك: | 978-3-030-31238-1 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::3d5b125b37a7900ffd936267d9beee81 https://doi.org/10.1007/978-3-030-31239-8_15 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi...........3d5b125b37a7900ffd936267d9beee81 |
| قاعدة البيانات: | OpenAIRE |
| ردمك: | 9783030312381 |
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