BACKGROUND Written assessments fall into two classes: constructed-response or open-ended questions, such as the essay and a number of variants of the short-answer question, and selected-response or closed-ended questions; typically in the form of multiple-choice. It is widely believed that constructed response written questions test higher order cognitive processes in a manner that multiple-cho...

2. A teacher finds Garret, a freshman, smoking in the boys’ locker room. In accordance with school policy, the teacher completes a discipline notice and sends Garret to the principal’s office. Mr. Rodriquez, the principal, informs Garret that he has been accused of smoking in the locker room. He tells Garret that because this is his first offense, he will be suspended for three days. Mr. Rodriq...

The paper presents the possibilities of dynamizing multiple choice tests prepared in the form of MS Word document managed by a VBA macro through the use of Word fields, especially IF fields

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...

The first version of the UIMA-based modular automatic question answering (QA) system was developed for NTCIR11 QA Lab task[5]. The system answers multiple-choice English questions for the Japanese university entrance examinations on the subject of world history. We made improvements in the current system by adding components focused towards Source Expansion and better Semantic Understanding of ...

An automatic generation of multiplechoice questions is one of the promising examples of educational applications of NLP techniques. A machine learning approach seems to be useful for this purpose because some of the processes can be done by classification. Using basic machine learning algorithms as Naive Bayes and K-Nearest Neighbors, we have developed a real-time system which generates questio...

This paper describes our participation to the Entrance Exams Task of CLEF 2015’s Question Answering Track. The goal is to answer multiple-choice questions on short texts. Our system first retrieves passages relevant to the question, through lexical expansion involving WordNet and word vectors. Then a tree edit model is used on graph representations of the passages and answer choices to extract ...