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…

Monitoring one's learning activities is a key component of self-regulated learning (SRL) leading to successful learning and performance outcomes across settings. Achievement emotions also play an important part in SRL and consequently student learning outcomes. However, there is little research on how specific types of monitoring (i.e.…

Academic emotions play an important and complex role in self-regulated learning (SRL). However, few studies have examined how academic emotions unfold in different phases of SRL and how the changes in these emotions influence learning performance. The current study examines 98 students' academic emotion trajectories and profiles across the three…

This study examined how task complexity affected the temporal characteristics of self-regulated learning (SRL) behaviours in clinical reasoning. Eight-eight (N = 88) medical students participated in this study. They were required to diagnose two virtual patients of varying complexity in BioWorld, an intelligent tutoring system (ITS) designed to…

Computer-supported scaffolding plays a pivotal role in advancing problem-solving skills and improving cognitive learning outcomes in self-regulated learning. However, there is limited research on the effectiveness of different types of scaffolds and the role they play in the context of clinical problem-solving. This study performed latent profile…

Achievement goals are motivational antecedents which play an important role in students' self-regulated learning (SRL). Achievement goals are also found to have an influence on students' learning outcomes. However, how achievement goals and SRL jointly affect learning performance is still an underexplored area of research, especially in…

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…

Background: Computer-based scaffolding has been intensively used to facilitate students' self-regulated learning (SRL). However, most previous studies investigated how computer-based scaffoldings affected the cognitive aspect of SRL, such as knowledge gains and understanding levels. In contrast, more evidence is needed to examine the effects of…

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'…

Despite the importance of emotion regulation in education there is a paucity of research examining it in authentic educational contexts. Moreover, emotion measurement continues to be dominated by self-report measures. We address these gaps in the literature by measuring emotion regulation and activation in 37 medical students' who were solving…

Ill-structured problems, by definition, have multiple paths to a solution and are multifaceted making automated assessment and feedback a difficult challenge. Diagnostic reasoning about medical cases meet the criteria of ill-structured problem solving since there are multiple solution paths. The goal of this study was to develop an adaptive…

Given recent attention to emotion regulation (ER) as an important factor in personal well-being and effective social communication, there is a need for detection mechanisms that accurately capture ER and facilitate adaptive responding (Calvo & D'Mello, 2010). Current approaches to determining ER are mainly limited to self-report data such as…

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,…