publication record.

@article{code2020agency,
title = {Agency for learning: Intention, motivation, self-efficacy and self-regulation},
author = {J Code},
doi = {10.3389/feduc.2020.00019},
year = {2020},
date = {2020-02-26},
booktitle = {Frontiers in Education},
journal = {Frontiers in Education},
volume = {5},
pages = {19},
organization = {Frontiers},
abstract = {Agency is inherent in students’ ability to regulate, control, and monitor their own learning. A learners’ effectiveness in regulating their cognitive, affective, and behavioural processes as they interact within the learning environment is critical to their academic success. This article advances a theory of learner agency, or agency for learning (AFL), as an emergent capacity that is intentional, self-generated, and reactive to social factors in the learning context. This article further traces the development of the Agency for Learning Questionnaire (AFLQ) and examines the internal consistency, predictive validity, and psychometric properties covering four dimensions of agentic functioning including intentionality (planfulness, decision competence), forethought (intrinsic and extrinsic motivation), self-regulation, and self-efficacy. The results of this research demonstrate that the AFLQ provides a reliable, valid, multidimensional measure of AFL based on existing theoretical and empirical findings, advancing both theory and practice. Understanding how agency develops and emerges within learning environments is a key factor in identifying why learning occurs enabling educational psychologists to potentially identify, measure, and study agentic processes in the context of learning across a variety of research designs.},
keywords = {AFLQ, forethought, intention, learner agency, learning design, motivation, quantitative, self-efficacy, self-regulation, survey research},
pubstate = {published},
tppubtype = {article}
}

@article{Code2007,
title = {Examining trace data to explore self-regulated learning},
author = {A F Hadwin and J C Nesbit and D Jamieson-Noel and J Code and P H Winne},
year = {2007},
date = {2007-01-01},
journal = {Metacognition and Learning},
volume = {2},
number = {2-3},
pages = {107-124},
keywords = {assessment, educational technology, learning analytics, self-regulation, systematic review},
pubstate = {published},
tppubtype = {article}
}

@article{Code2006c,
title = {Using cognitive tools in gStudy to investigate how study activities covary with achievement goals},
author = {J C Nesbit and P H Winne and D Jamieson-Noel and J Code and M Zhou and K Macallister and S Bratt and W Wang and A F Hadwin},
year = {2006},
date = {2006-01-01},
journal = {Journal of Educational Computing Research},
volume = {35},
number = {4},
pages = {339-358},
keywords = {educational technology, learning analytics, mixed methods, self-regulation},
pubstate = {published},
tppubtype = {article}
}