Evaluation of an Intelligent Tutoring System in Pathology: Effects of External Representation on Performance Gains, Metacognition, and Acceptance
نویسندگان
چکیده
Design: Prospective, between-subjects study, controlled for participant level of training. Resident physicians in two academic pathology programs spent four hours using one of two interfaces which differed mainly in external problem representation. The case-focused representation provided an open-learning environment in which students were free to explore evidence-hypothesis relationships within a case, but could not visualize the entire diagnostic space. The knowledge-focused representation provided an interactive representation of the entire diagnostic space, which more tightly constrained student actions. Measurements: Metrics included results of pretest, post-test and retention-test for multiple choice and case diagnosis tests, ratios of performance to student reported certainty, results of participant survey, learning curves, and interaction behaviors during tutoring. Results: Students had highly significant learning gains after one tutoring session. Learning was retained at one week. There were no differences between the two interfaces in learning gains on post-test or retention test. Only students in the knowledge-focused interface exhibited significant metacognitive gains from pretest to post-test and pretest to retention test. Students rated the knowledge-focused interface significantly higher than the case-focused interface. Conclusions: Cognitive tutoring is associated with improved diagnostic performance in a complex medical domain. The effect is retained at one-week post-training. Knowledge-focused external problem representation shows an advantage over case-focused representation for metacognitive effects and user acceptance. J Am Med Inform Assoc. 2007;14:182–190. DOI 10.1197/jamia.M2241.
منابع مشابه
Factors affecting feeling-of-knowing in a medical intelligent tutoring system: the role of immediate feedback as a metacognitive scaffold.
Previous studies in our laboratory have shown the benefits of immediate feedback on cognitive performance for pathology residents using an intelligent tutoring system (ITS) in pathology. In this study, we examined the effect of immediate feedback on metacognitive performance, and investigated whether other metacognitive scaffolds will support metacognitive gains when immediate feedback is faded...
متن کاملDeveloping a Bayes-net based student model for an External Representation Selection Tutor
This paper describes the process by which we are constructing an intelligent tutoring system (ERST) designed to improve learners’ external representation (ER) selection accuracy on a range of database query tasks. This paper describes how ERST’s student model is being constructed it is a Bayesian network seeded with data from experimental studies. The studies examined the effects of students’ b...
متن کاملEffect of a limited-enforcement intelligent tutoring system in dermatopathology on student errors, goals and solution paths
OBJECTIVES Determine effects of a limited-enforcement intelligent tutoring system in dermatopathology on student errors, goals and solution paths. Determine if limited enforcement in a medical tutoring system inhibits students from learning the optimal and most efficient solution path. Describe the type of deviations from the optimal solution path that occur during tutoring, and how these devia...
متن کاملWorkshop on Metacognition and Self- Regulated Learning in Intelligent Tutoring Systems
In this paper, we discuss lessons learned from an evaluation of the EACoach, an Intelligent Tutoring System that aims to foster meta-cognitive skills during analogical problem solving. The evaluation of the EA-Coach demonstrated that overall, it is effective in its pedagogical approach, but that there are instances where its scaffolding for meta-cognition is too subtle. We discuss implications ...
متن کاملشخصی سازی محیط یادگیری الکترونیکی به کمک توصیه گر فازی مبتنی برتلفیق سبک یادگیری و سبک شناختی
Personalization needs to identify the learners’ preferences and their characteristics as an important part in any e-learning environment which without identify learners’ mental characteristics and their learning approaches, personalization cannot be possible. Whatever this identifying process has been done more completely and more accurately, the learner model that based on it will be more reli...
متن کامل