Exploring students’ iterative practices when learning with physical computing kits through data visualisations

Abstract

Physical computing kits allow the practical implementation of open-ended, hands-on, interactive learning experiences in the classroom. In the process of engaging with physical computing kits, students formulate and implement self-constructed goals using an iterative approach. However, the openness and diversity of such learning contexts often make them challenging to design and support. The field of learning analytics has the potential to support project-based learning, using continuous real-time data traces arising from student interactions. Data visualisations, specifically, can provide reflective opportunities for teachers to analyse students’ actions and act based on this evidence. However, to date, there has been little data visualisation research targeted at learning with physical computing kits. This thesis reports progress into the design and evaluation of a suite of data visualisations focussed on students’ iterative design process when using physical computing kits in authentic classroom settings. The areas of iterative design, appropriation theory, process-driven learning analytics and data visualisation inform the analysis and interpretation of trace data collected from students’ interactions. The contribution of the thesis is three-fold. First, a model for examining students’ trace data in keeping with social processes, such as appropriation, is presented. Secondly, insights into the iterative design process of students engaging in open-ended projects are produced, as they emerge from our data visualisations, across multiple groups of students. Thirdly, an evaluation into the role and potential of using data visualisations in the classroom is conducted with ten teachers. Implications for the design and support of open-ended project-based learning experiences with physical computing kits using trace data and data visualisation are discussed based on the teachers’ feedback. The thesis represents a first step towards the design of context-aligned, process-oriented data visualisations to provide evidence-based reflective opportunities to support students’ iterative design behaviours in this learning setting

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