Self-regulated learning has been shown to have a positive and long-lasting impact on students’ academic development, employability and career progression. Emotions, motivation and metacognition play an important role in students’ ability to monitor and regulate their learning, particularly when studying and engaging with Science, Technology, Engineering and Mathematics content. In this study, we investigated motivational, emotional and cognitive factors involved in self-regulated learning and their role in mathematics learning. Specifically, we analysed the impact of mathematics anxiety and self-regulated learning on mathematical literacy using the Australian subset of Programme for International Student Assessment 2012. Mathematics anxiety is a barrier to mathematical learning and is thought to hinder students’ engagement and the efficiency of their metacognitive processes. Using structural equation modelling, we showed that instrumental motivation and self-concept affect mathematics anxiety, which in turn negatively impacts mathematical literacy by affecting perseverance and self-efficacy. We consider the practical implications of our results and discuss how interventions to reduce students’ mathematics anxiety will allow for the development and/or improvement of self-regulated learning skills in mathematics.

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Technological affordances have shown promising potential in advancing the delivery of corporate learning programmes designed for professional leadership development. However, there is a considerable challenge in evaluating learners' skill acquisition, with most of the past research relying on pre‐ and post‐tests or other forms of self‐reports to measure leadership development. In that sense, these approaches measure leadership development before and after the programme, while being inefficient for measuring the development during the learning process. This study collected self‐reflection answers from a professional development MOOC that allows learners to express their stepwise learning and reflect on their professional experience on leadership fronts. We developed a novel methodology and an automated system for the evaluation of leadership skills' mastery based on the depth of reflection exhibited during the learning process. We identified four groups of learners based on their course content mastery and explored the differences within groups. The results also highlight relevant insights about instructional design and provide promising avenues for future research. What is already known about this topic Professional leadership programmes have become increasingly common in workplace learning. Programmes mainly use manual/introspective measures to assess skill acquisition. What this paper adds An automated assessment system to evaluate leadership skill mastery. Evidence‐based and leadership driven inferences about skill acquisition. Use of a novel multidisciplinary methodology for complex skills assessment. Implications of practice and/or policy Assessing leadership development should include more than course grades. Assessing differences in content mastery requires evaluation of various skills. Developed assessment system provides promise for other similar domains.

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