Self-regulated learning theory explains how it is not only the amount of time musicians spend practising that affects achievement, but also the nature of the strategies employed. Because practice is self-directed, motivational effects on its efficiency are especially salient. One construct that has received little attention in relation to practising is self-determination theory, which interprets motivation as lying along a continuum of perceived autonomy. This mixed-methods study investigated links between motivational beliefs and self-regulated practising behaviour through a two-phase design. In Phase One, 677 music examination candidates aged 8-19 completed a questionnaire consisting of items addressing practising behaviour and perceived musical competence; in addition, the Self-Regulation Questionnaire (SRQ; Ryan & Connell, 1989) was adapted to explore intrinsic-extrinsic motives for learning an instrument. Factor analysis of the SRQ revealed five dimensions with partial correspondence to earlier research: internal, external, social, shame-related, and exam-related motives. Three practice behaviour factors consistent with self-regulated learning theory emerged: effort management, monitoring, and strategy use. Results of structural equation modelling showed that internal motivation accounted best for variance in these three types of practising behaviour, with a small added effect from competence beliefs and exam-related motivation. Phase Two consisted of observational case studies of four of the questionnaire participants preparing for their subsequent annual examination. Adolescent, intermediate-level musicians were recorded while practising at home; immediately afterwards, they watched the videotape and verbalised any recollected thoughts. The procedure concluded with a semi-structured interview and debriefing. The videotapes were analysed with The Observer Video-Pro and combined with verbal data; emerging themes were then compared with issues arising from the interviews. The observational aspect of the case studies largely confirmed the importance of three cyclical self-regulatory processes emerging from Phase One: (a) effort management and motivational self-regulation, (b) the role of self-monitoring of accuracy, and (c) the use of corrective strategies, such as structured repetition, task simplification, and vocalisation. The mixture of quantitative and qualitative methods used in the study has uncovered a rich body of information that begins to clarify the complex motivational and behavioural nature of young people practising a musical instrument.

Self-regulated learning theory explains how it is not only the amount of time musicians spend practising that affects achievement, but also the nature of the strategies employed. Because practice is self-directed, motivational effects on its efficiency are especially salient. One construct that has received little attention in relation to practising is self-determination theory, which interprets motivation as lying along a continuum of perceived autonomy. This mixed-methods study investigated links between motivational beliefs and self-regulated practising behaviour through a two-phase design. In Phase One, 677 music examination candidates aged 8-19 completed a questionnaire consisting of items addressing practising behaviour and perceived musical competence; in addition, the Self-Regulation Questionnaire (SRQ; Ryan & Connell, 1989) was adapted to explore intrinsic-extrinsic motives for learning an instrument. Factor analysis of the SRQ revealed five dimensions with partial correspondence to earlier research: internal, external, social, shame-related, and exam-related motives. Three practice behaviour factors consistent with self-regulated learning theory emerged: effort management, monitoring, and strategy use. Results of structural equation modelling showed that internal motivation accounted best for variance in these three types of practising behaviour, with a small added effect from competence beliefs and exam-related motivation. Phase Two consisted of observational case studies of four of the questionnaire participants preparing for their subsequent annual examination. Adolescent, intermediate-level musicians were recorded while practising at home; immediately afterwards, they watched the videotape and verbalised any recollected thoughts. The procedure concluded with a semi-structured interview and debriefing. The videotapes were analysed with The Observer Video-Pro and combined with verbal data; emerging themes were then compared with issues arising from the interviews. The observational aspect of the case studies largely confirmed the importance of three cyclical self-regulatory processes emerging from Phase One: (a) effort management and motivational self-regulation, (b) the role of self-monitoring of accuracy, and (c) the use of corrective strategies, such as structured repetition, task simplification, and vocalisation. The mixture of quantitative and qualitative methods used in the study has uncovered a rich body of information that begins to clarify the complex motivational and behavioural nature of young people practising a musical instrument.

How can one create online educational material that support and motivate students in guiding their own learning and make meaningful instructional decisions? One of the main focuses on designing e-learning is about creating an environment where learners can actively assume control and take responsibility for their own learning with little or no guidance from the tutors. This research aims to discover a new way to design learning that would cater to individual choices and preferences. The idea goes beyond learner-centred design; it is about learner control and direction. As an option, learners should be able to choose to be in the driver’s seat, to direct their own learning journey. As a starting point, this research explores the use of two educational theories - Experiential Learning Theory (ELT) and Self-Regulated Learning (SRL) theory as the underpinning instructional design for a Learner-Directed Model to support students’ online learning in both domain knowledge and meta knowledge in the subject of computer programming. One unit material from an online Introduction to Java Programming course has been redesigned based on the proposed Learner-Directed Model for the experimental design study. The study involved a total of 35 participants divided randomly into one Experimental Group and one Control Group. They were assigned to either a Learner-Directed Model (Experimental Group) or a linear model (Control Group). Pre/post tests, survey, follow-up interview as well as log file analysis were instruments used for assessing students’ domain knowledge, meta knowledge and their attitudes for their overall learning experience. Learning experience is further broken down into perceived ease of use and user satisfaction; system usability; learner experience; and perceived controllability. The results of the study have revealed that there is statistically significant difference between the survey results for the Experimental Group and the Control Group. The Experimental Group reported a higher level of overall learning experience and better attitudes in general. However, there was no statistically significant difference existing between the two groups on the domain and meta level knowledge improvement. Based on these results, I have proposed further research directions and put forward a number of recommendations and suggestions on learner-directed e-learning design.

The goal of learning analytics is to optimize learning and the environments in which it occurs. Since 2011, when learning analytics was defined as a separate and distinct area of academic inquiry, the literature has identified a need for research that presents evidence of effective learning analytics, as well as, learning analytics research that is conducted in conjunction with learning theory. This study uses Efklides' metacognitive and affective model of self-regulated learning (MASRL) to define cognitive, metacognitive, and affective variables that can explain students' learning outcomes in hybrid/online sections of Calculus I in the 2020-21 academic year. Cognitive variables were measured according to the cognitive operational framework for analytics (COPA). Metacognitive variables were defined according to the ways in which students interacted with the course content in the learning management system (LMS) and supplemental instruction, and affective variables were measured by ways students gave evidence of their affective states, such as in discussion board posts. All variables were compared across the course learning design, activities, and outcomes. Binary logistic regression revealed five significant variables: two cognitive, one metacognitive, and two affective. Thus, this study provided a learning analytics, evidence-based link between self-regulated learning theory and learning design, activities, and outcomes. In addition, implications for students, instructors, and learning theory were explored, as well as, the qualifications of this study as evidence of effective learning analytics.