News Story
Congratulations Dr Simon Knight!
Rachel Coignac-Smith, Wednesday 23 Dec 2015
On 17th December Simon Knight successfully defended his PhD thesis. Simon’s thesis Developing Learning Analytics for Epistemic Commitments in a Collaborative Information Seeking Environment (supervised by Dr. Bart Rientes, Prof. Simon Buckingham Shum and Prof. Karen Littleton) draws upon diverse literatures to present an instantiation of a theoretically grounded analytic development arising from socio-cultural theory.
This extract, taken from Simon’s thesis abstract, indicates the nature and scope of his work:
‘I argue for a recasting of epistemic cognition as "epistemic commitments" in collaborative information tasks drawing a novel alignment between information seeking and multiple document processing (MDP) models, with empirical and theoretical grounding given for a focus on collaboration and dialogue in such activities. Thus, epistemic commitments are seen in the ways students seek, select, and integrate claims from multiple sources, and the ways in which their collaborative dialogue is brought to bear in this activity. Accordingly, the empirical element of the thesis develops two pedagogically grounded literacy based tasks: a MDP task, in which pre-selected documents were provided to students; and a collaborative information seeking task (CIS), in which students could search the web. These tasks were deployed at scale (n > 500) and involved writing an evaluative review, followed by a pedagogically supported peer assessment task. Assessment outcomes were analysed in the context of a new epistemic commitments-oriented set of trace data, and psychometric data regarding the participants’ epistemic cognition. Demonstrating the value of the methodological and conceptual approach taken, qualitative analyses indicate clear epistemic activity, and stark differences in behaviour between groups, the complexity of which is challenging to model computationally. Despite this complexity, quantitative analyses indicate that up to 30% of variance in output scores can be modelled using behavioural indicators. The explanatory potential of behaviourally-oriented models of epistemic commitments grounded in tool-interaction and collaborative dialogue is demonstrated. The thesis provides an exemplification of theoretically positioned analytic development, drawing on interdisciplinary literatures in addressing complex learning contexts.
The examiners (Professor Sten Ludvigsen, University of Oslo and Professor Allison Littlejohn), OU commended the work presented in the thesis as: ‘very innovative’, making ‘very important contributions’ to the new field of learning analytics. Simon now has an opportunity to extend the work presented and will be implementing the key ideas and analytics he has developed in diverse pedagogic contexts at UTS, Sydney.
Connected
Latest News
OU Analyse team wins MK STEM Award 2025 for Early Alert Indicators Dashboard
CORE presents SoFAIR project at UNESCO
New KMi project to expand bibliotherapy for mental wellbeing across Northern Ireland
KMi at Dagstuhl: Shaping the Future of Knowledge Graph-Based AI