Does student confidence on multiple-choice question assessments provide useful information?
نویسندگان
چکیده
منابع مشابه
Certainty and safe consequence responses provide additional information from multiple choice question assessments
BACKGROUND Clinicians making decisions require the ability to self-monitor and evaluate their certainty of being correct while being mindful of the potential consequences of alternative actions. For clinical students, this ability could be inferred from their responses to multiple-choice questions (MCQ) by recording their certainty in correctness and avoidance of options that are potentially un...
متن کاملOntology-Based Multiple Choice Question Generation
With recent advancements in Semantic Web technologies, a new trend in MCQ item generation has emerged through the use of ontologies. Ontologies are knowledge representation structures that formally describe entities in a domain and their relationships, thus enabling automated inference and reasoning. Ontology-based MCQ item generation is still in its infancy, but substantial research efforts ar...
متن کاملMultiple Choice Question Generation Utilizing An Ontology
Ontologies provide a structured representation of concepts and the relationships which connect them. This work investigates how a pre-existing educational Biology ontology can be used to generate useful practice questions for students by using the connectivity structure in a novel way. It also introduces a novel way to generate multiple-choice distractors from the ontology, and compares this to...
متن کاملWebExperimenter for Multiple-Choice Question Generation
Automatic generation of multiple-choice questions is an emerging topic in application of natural language processing. Particularly, applying it to language testing has been proved to be useful (Sumita et al., 2005). This demo presents an novel approach of question generation using machine learning we have introduced in (Hoshino and Nakagawa, 2005). Our study aims to generate TOEIC-like 1 multip...
متن کاملCrowdsourcing for Multiple-Choice Question Answering
We leverage crowd wisdom for multiple-choice question answering, and employ lightweight machine learning techniques to improve the aggregation accuracy of crowdsourced answers to these questions. In order to develop more effective aggregation methods and evaluate them empirically, we developed and deployed a crowdsourced system for playing the “Who wants to be a millionaire?” quiz show. Analyzi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Medical Education
سال: 2013
ISSN: 0308-0110
DOI: 10.1111/medu.12147