Multiple-choice questions are a common assessment method in nursing examinations. Few nurse educators, however, have formal preparation in constructing multiple-choice questions. Consequently, questions used in baccalaureate nursing assessments often contain item-writing flaws, or violations to accepted item-writing guidelines. In one nursing department, 2770 MCQs were collected from tests and ...

This work describes AIPO, a Learning Management System designed for subjects with a high degree of computer practice. AIPO has been developed to give support for a previous system called Remote Query Navigator. The main idea besides AIPO is to monitorize the proccess of doubt resolution in computer classrooms: students ask questions from their PC to the teacher remotely; then the teacher takes ...

This paper describes a computational method of complexity of a question for an adaptive question and answer function in an intelligent support system for English learning, and its evaluation. To realize adaptive question and answer, systems should generate questions depending on both educational intentions and learner's understanding state. For generating suitable questions for a learner automa...

In the present study, we designed a model of self-regulated inquiry that connects theory to practice for teachers to deepen their understanding of the core beliefs, commitment, and the experiences shaping their professional identity. The rationale of this model was grounded in motivational and identity theories related to self-regulation, self-efficacy, and goal setting. We posed three question...

The purpose of this study was to determine if self-reported teaching style beliefs were different among faculty at a U.S. and an Israeli dental school. Teacher-centered practices refer to beliefs that the teacher holds the subject matter expertise and students are generally passive learners who must be told what to think. Student-centered practices refer to beliefs that students must learn how ...

The interactive partially observable Markov decision process (I-POMDP) is a recently developed framework which extends the POMDP to the multi-agent setting by including agent models in the state space. This paper argues for formulating the problem of an agent learning interactively from a human teacher as an I-POMDP, where the agent programming to be learned is captured by random variables in t...