Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 4 |
Since 2016 (last 10 years) | 8 |
Since 2006 (last 20 years) | 10 |
Descriptor
Patients | 10 |
Medical Students | 9 |
Medical Education | 8 |
Clinical Diagnosis | 4 |
Computer Simulation | 4 |
Problem Solving | 4 |
Difficulty Level | 3 |
Educational Technology | 3 |
Metacognition | 3 |
Performance | 3 |
Problem Based Learning | 3 |
More ▼ |
Source
Author
Lajoie, Susanne P. | 10 |
Li, Shan | 4 |
Doleck, Tenzin | 3 |
Poitras, Eric G. | 3 |
Zheng, Juan | 3 |
Lu, Jingyan | 2 |
Poitras, Eric | 2 |
Chan, Lap Ki | 1 |
Chaouachi, Maher | 1 |
Cruz-Panesso, Ilian | 1 |
Hmelo-Silver, Cindy | 1 |
More ▼ |
Publication Type
Journal Articles | 10 |
Reports - Research | 10 |
Education Level
Higher Education | 10 |
Postsecondary Education | 9 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
Patterns of Adaptive Learning… | 1 |
What Works Clearinghouse Rating
Zheng, Juan; Li, Shan; Lajoie, Susanne P. – Education and Information Technologies, 2022
This study examined the relationships between clinical reasoning behaviors and diagnostic efficiency in the context of diagnosing a virtual patient in BioWorld, a technology-rich environment designed for medical students to practice clinical reasoning skills. Eighty-two medical students who correctly solved a patient case with Diabetes Mellitus…
Descriptors: Clinical Diagnosis, Patients, Medical Students, Technology Uses in Education
Li, Shan; Huang, Xiaoshan; Wang, Tingting; Pan, Zexuan; Lajoie, Susanne P. – Journal of Learning Analytics, 2022
This study examines the temporal co-occurrences of self-regulated learning (SRL) activities and three types of knowledge (i.e., task information, domain knowledge, and metacognitive knowledge) of 34 medical students who solved two tasks of varying complexity in a computer-simulated environment. Specifically, we explored how task complexity…
Descriptors: Correlation, Metacognition, Task Analysis, Difficulty Level
Li, Shan; Zheng, Juan; Lajoie, Susanne P. – Educational Technology & Society, 2022
Examining the sequential patterns of self-regulated learning (SRL) behaviors is gaining popularity to understand students' performance differences. However, few studies have looked at the transition probabilities among different SRL behaviors. Moreover, there is a lack of research investigating the temporal structures of students' SRL behaviors…
Descriptors: Problem Solving, Intelligent Tutoring Systems, Metacognition, Sequential Approach
Li, Shan; Zheng, Juan; Lajoie, Susanne P. – Frontline Learning Research, 2021
Emotion variability and its relationship to performance is an underexplored area of research both inside and outside the realm of medical education. We address this gap by examining the relative importance of the frequency of emotions and emotion variability that occurred in specific phases of self-regulated learning (SRL) in predicting students'…
Descriptors: Psychological Patterns, Emotional Response, Independent Study, Medical Education
Poitras, Eric G.; Naismith, Laura M.; Doleck, Tenzin; Lajoie, Susanne P. – Online Learning, 2016
This study aimed to identify misconceptions in medical student knowledge by mining user interactions in the MedU online learning environment. Data from 13000 attempts at a single virtual patient case were extracted from the MedU MySQL database. A subgroup discovery method was applied to identify patterns in learner-generated annotations and…
Descriptors: Medical Students, Medical Education, Patients, Multiple Choice Tests
Lee, Lila; Lajoie, Susanne P.; Poitras, Eric G.; Nkangu, Miriam; Doleck, Tenzin – Education and Information Technologies, 2017
Learning to monitor and regulate one's learning in an academic setting is a task that all students must engage in. Learning in "group" situations requires both self- and co-regulation. This research examines a case study of a small group of medical student interactions during an on-line problem based learning activity (PBL) where…
Descriptors: Case Studies, Medical Students, Interaction, Problem Based Learning
Doleck, Tenzin; Jarrell, Amanda; Poitras, Eric G.; Chaouachi, Maher; Lajoie, Susanne P. – Australasian Journal of Educational Technology, 2016
Clinical reasoning is a central skill in diagnosing cases. However, diagnosing a clinical case poses several challenges that are inherent to solving multifaceted ill-structured problems. In particular, when solving such problems, the complexity stems from the existence of multiple paths to arriving at the correct solution (Lajoie, 2003). Moreover,…
Descriptors: Accuracy, Patients, Computer Simulation, Clinical Diagnosis
Lajoie, Susanne P.; Hmelo-Silver, Cindy; Wiseman, Jeffrey; Chan, Lap Ki; Lu, Jingyan; Khurana, Chesta; Cruz-Panesso, Ilian; Poitras, Eric; Kazemitabar, Maedeh – Interdisciplinary Journal of Problem-based Learning, 2014
The goal of this study is to examine how to facilitate cross-cultural groups in problem-based learning (PBL) using online digital tools and videos. The PBL consisted of two video-based cases used to trigger student-learning issues about giving bad news to HIV-positive patients. Mixed groups of medical students from Canada and Hong Kong worked with…
Descriptors: Problem Based Learning, Teaching Methods, Video Technology, Information Technology
Jang, Eunice Eunhee; Lajoie, Susanne P.; Wagner, Maryam; Xu, Zhenhua; Poitras, Eric; Naismith, Laura – Journal of Educational Computing Research, 2017
Technology-rich learning environments (TREs) provide opportunities for learners to engage in complex interactions involving a multitude of cognitive, metacognitive, and affective states. Understanding learners' distinct learning progressions in TREs demand inquiry approaches that employ well-conceived theoretical accounts of these multiple facets.…
Descriptors: Educational Technology, Technology Uses in Education, Simulation, Patients
Lajoie, Susanne P.; Lu, Jingyan – Metacognition and Learning, 2012
The theoretical distinctions between metacognition, self-regulation and self-regulated learning are often blurred which makes the definition of co-regulation in group learning situations even more difficult. We have started to explore co-regulation in the context of decision making in simulated emergencies where medical teams work together to…
Descriptors: Cooperation, Metacognition, Learning, Decision Making