UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

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

Cucuiat, Veronica; (2022) Exploring students’ iterative practices when learning with physical computing kits through data visualisations. Doctoral thesis (Ph.D), UCL (University College London). Green open access

[thumbnail of PhD_Thesis-5.pdf]
Preview
Text
PhD_Thesis-5.pdf - Accepted Version

Download (30MB) | Preview

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.

Type: Thesis (Doctoral)
Qualification: Ph.D
Title: Exploring students’ iterative practices when learning with physical computing kits through data visualisations
Open access status: An open access version is available from UCL Discovery
Language: English
Additional information: Copyright © The Author 2022. Original content in this thesis is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) Licence (https://creativecommons.org/licenses/by-nc/4.0/). Any third-party copyright material present remains the property of its respective owner(s) and is licensed under its existing terms. Access may initially be restricted at the author’s request.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Education
UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education
UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education > IOE - Culture, Communication and Media
URI: https://discovery.ucl.ac.uk/id/eprint/10158757
Downloads since deposit
73Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item