From self-regulation to co-regulation: refining learning presence in a community of inquiry in interprofessional education.

INTRODUCTION: Online interprofessional education is a collaborative process that emphasizes both individual reflection and shared discourses. A useful analytical tool for understanding the complex dynamics of online collaborative learning is the community of inquiry (CoI) framework, which originally held that there are three types of presence in such learning: teaching, cognitive, and social. However, it was later revised to include learning presence, which is characterized by self-regulated learning. Our study aims to refine the construct of learning presence through a clearer understanding of how self- and co-regulation jointly influence learning outcomes. METHODS: We surveyed 110 people involved with an online interprofessional medical-education curriculum at a university in Hong Kong. Path analysis was adopted to explore the relationships among 1) the three original presences of CoI; 2) learning presence (i.e., for this purpose, a combination of self-regulation and co-regulation); and 3) two learning outcomes: perceived progress and learner satisfaction. RESULTS: The results of path analysis indicated that teaching presence had a significant indirect effect, through co-regulation, on perceived progress. In terms of direct relationships, co-regulation significantly and positively influenced both self-regulation and cognitive presence; and social presence had both positive influence on learners' satisfaction and perceived progress. DISCUSSION: This study's findings suggest the important role of co-regulation in supporting self-regulation, especially in online collaborative-learning environments. Learners' self-regulation skills are shaped by their social interactions and regulatory activities with others. This further implies that health-professions educators and instructional designers should create learning activities that facilitate the development of co-regulatory skills, as a means of improving learning outcomes. As self-regulation is an important skill for health professions learners' lifelong learning, and because their future workplaces will be interdisciplinary in nature, it is critical to provide interactive and collaborative learning environments that will promote co-regulation and self-regulation.

Self-Efficacy, Academic Motivation, and Self-Regulation: How Do They Predict Academic Achievement for Medical Students?

PURPOSE: Self-efficacy, academic motivation, and self-regulation have been identified as important factors contributing to students' learning success in general education. In the field of medical education, however, few studies have examined these variables or their interrelationships as predictors of undergraduate medical students' learning outcomes, especially in the context of flipped learning. METHODS: Using structural equation modeling (SEM), this study explored the impact of self-efficacy on 146 first- and second-year medical students' academic achievement in a flipped-learning environment, and whether such impact (if any) was mediated by academic motivation and self-regulated learning (SRL) strategies. RESULTS: On average, students scored highest on self-efficacy (mean = 5 out of a possible 7), followed by intrinsic motivation (mean = 4.59), resource-management strategies (mean = 4.48), metacognitive strategies (mean = 4.46), extrinsic motivation (mean = 4.24), and cognitive strategies (mean = 4.17). Our SEM results suggest that, while there was a direct effect of self-efficacy on learning outcomes, academic motivation and SRL strategies did not mediate it. CONCLUSIONS: By unpacking the structural relationships among self-efficacy, academic motivation, SRL strategies, and learning outcomes, this study provides evidence-based support for the importance of promoting students' self-efficacy in undergraduate medical flipped-learning environments. Strategies for increasing students' self-efficacy are also discussed.

Motivation, strategy, and English as a foreign language vocabulary learning: A structural equation modelling study.

BACKGROUND: In spite of considerable advancements in our understanding of the different factors involved in achieving vocabulary-learning success, the overall pattern and interrelationships of critical factors involved in L2 vocabulary learning - particularly, the mechanisms through which learners regulate their motivation and learning strategies - remain unclear. AIMS: This study examined L2 vocabulary learning, focusing on the joint influence of different motivational factors and learning strategies on the vocabulary breadth of adolescent learners of English as a foreign language (EFL) in China. SAMPLE: The participants were 107 tenth graders (68 females, 39 males) in China. METHODS: The data were collected via two questionnaires, one assessing students' motivation towards English-vocabulary learning and the other their English vocabulary-learning strategies, along with a test measuring vocabulary breadth. RESULTS: Structural equation modelling (SEM) indicated that learning strategy partially mediated the relationship between motivation (i.e., a composite score of intrinsic and extrinsic motivation) and vocabulary learning. Separate SEM analyses for intrinsic (IM) and extrinsic motivation (EM) revealed that there were significant and positive direct and indirect effects of IM on vocabulary knowledge; and while EM's direct effect over and above that of learning strategies did not achieve significance, its indirect effect was significant and positive. CONCLUSIONS: The findings suggest that vocabulary-learning strategies mediate the relationship between motivation and vocabulary knowledge. In addition, IM may have a greater influence on vocabulary learning in foreign-language contexts.