Problem solving is a key component of authentic scientific research and practice in organic chemistry. One factor that has been shown to have a major role in successful problem solving in a variety of disciplines is metacognitive regulation, defined as the control of one's thought processes through the use of planning, monitoring, and evaluation…

We analyse the predictive power of learning strategies for engineering students' performance in mathematics. Learning strategies play an important role in self-regulated learning. Based on a new learning strategy questionnaire that takes into account the specifics of mathematical learning at universities, we investigated what were the strategies…

Task-relevant actions can facilitate mathematical thinking, even for complex topics, such as mathematical proof. We investigated whether such cognitive benefits also occur for action predictions. The action-cognition transduction (ACT) model posits a reciprocal relationship between movements and reasoning. Movements--imagined as well as real ones…

Path analysis is used to provide estimates of the magnitude and significance of hypothesized causal connections among sets of variables displayed using path diagrams. It is an extension of multiple regression analysis and holds strength as a methodology as it allows researchers to assess both direct and indirect effects of multiple independent…

Within the framework of Self-Determination Theory (SDT), basic psychological need satisfaction predicts quality of motivation which in turn predicts study efforts. Although studies focusing on interpersonal differences have repeatedly shown this sequence of relations, only a few have examined its stability at the intra-personal level. In this…

Medical simulations allow medical trainees to work within teams to develop their self-regulated learning (SRL) and socially shared regulated learning (SSRL) skills. These skills are imperative in optimizing performance and teamwork and could be reflected in physiological responses given by learners. This study examines how medical trainees'…

This study aims to better understand differences in the decision-making process behind study choices for higher education by investigating the presence of exploration profiles and then explore the explanatory base. To achieve this, we first identified different exploration profiles of students transitioning to higher education (n = 5660), and then…

Background: Students employ a variety of study strategies to learn and master content in their courses. Strategies vary widely in their effectiveness for promoting deep, long-term learning, yet most students use ineffective strategies frequently. Efforts to educate students about effective study strategies have revealed that knowledge about…

Machine learning is a powerful method for predicting the outcomes of interactions with educational software, such as the grade a student is likely to receive. However, a predicted outcome alone provides little insight regarding how a student's experience should be personalized based on that outcome. In this paper, we explore a generalizable…

The research investigated relationships amongst beliefs about the self-regulation of learning (SRL), study strategies and academic performance in 366 pre-service teachers. A Beliefs about Learning and Teaching (BALT) Questionnaire was used to examine beliefs that were both consistent and inconsistent with SRL. The final model emerging from the…

Purpose: This study examines family and peer academic social supports as correlates of academic motivation and first-semester GPA. Design/methodology/approach: Using a correlational design, 468 first-semester college students completed an online survey. Demographic characteristics, high school GPA and first-semester GPA were gathered from…

Students often struggle with developing understanding from expository science texts. This study explored whether training students to engage in a POE (Predict-Observe-Explain) study strategy might be beneficial when learning from texts that introduce theories by describing experiments and empirical results, a common style in social science…

This study examined age-related differences in the effectiveness of two generative learning strategies (GLSs). Twenty-five children aged 9-11 and 25 university students aged 17-29 performed a facts learning task in which they had to generate either a prediction or an example before seeing the correct result. We found a significant Age × Learning…

In the sphere of second or foreign language (L2) pedagogy, empirical evidence has increasingly spotlighted the role of learners' metacognitive strategies as formidable predictors of their willingness to engage in L2 communication (WTC). Nonetheless, the interrelationship among learners' metacognitive strategies, self-efficacy, and intrinsic…

Despite evidence that self-regulated learning ability is a strong predictor of academic achievement, effective learning and study strategies remain largely underutilized by students in higher education. In a time of extreme nursing shortage when prelicensure programs are operating at capacity, implications for course failure reach far beyond the…