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Knowledge Construction in Computer Science and Engineering when Learning Through Making

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Albert Alley

THIS paper reports on a pilot study to investigate the use
of tangible toolkits for physical computing [45], [22]
to support pedagogies of collaboration and production.
The focus of the study was learning through the Internet
of Things (IoT) [50] about STEM (Science, Technology,
Engineering and Maths [2]) in particular computer science
and engineering. The result of the study is part of a larger
EU project PELARS (http://www.pelars-project.eu). The
pilot was designed to identify learning indicators of collaboration
and production when studying STEM. The research
informed the design of effective data analytics and visualisation
tools for the PELARS project to advance practicebased
learning activities in STEM teaching. However, more
specifically, the findings provided a design structure
and insight into knowledge co-construction. Furthermore,
the findings illustrate how the IoT environment facilitated
this investigation in knowledge construction and boundary
crossing.
Design of the IoT environment provided a technology
enhanced learning (TEL) context [35], [36]. Key to the design
was to support the context of (a) collaborative learning as no
one person had the knowledge to complete the project alone
(b) problem-based learning as no off the shelf solution was
used and (c) multidisciplinary learning by pushing the
boundaries across the subjects.
The pilot study was conducted over a period of four
months working with a group of 15 (year 10) students aged
between 14 and 15 years. The students were new to computer
science, but had some programming experience in
python. None of the students had studied IoT, engineering
or embedded systems. The start of the collaboration with
the students in early January involved thinking about smart
city projects. In groups they brainstormed ideas to investigate
after attending a mini-workshop at the UCL Knowledge
Lab. They attended the final two-day hackevent where
their ideas were prototyped and finally presented at the
London Festival of Education.
This design based research study investigated what
useful learning indicators can be identified in STEM (Science,
Technology, Engineering and Maths) collaboration
and problem-based learning context [25]. The paper
describes the methods used and the context of the study
of learning about Computer Science and Engineering
through IoT. The paper elaborates the design of the learning
approach and discusses the findings. In particular,
the emergence of community knowledge construction
and its relationship to the pedagogical approach is examined
in the context of IoT.
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Albert Alley
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