Kreitmayer, S;
Rogers, Y;
Yilmaz, E;
Shawe-Taylor, J;
(2018)
Design in the Wild: Interfacing the OER learning journey.
In:
Proceedings of British HCI 2018. Belfast, UK.
(pp. p. 164).
ACM: Association for Computing Machinery: Belfast, UK.
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Abstract
Open Educational Resources (OERs) such as talks, lectures, texts, slideshows, and online activities, offer much potential for people to study a broad range of topics. However, the choice among millions of OERs can be overwhelming and many learners give up on their goals prematurely. Our ongoing research aims to help self-directed learners study effectively and enjoyably by providing a personalized route through appropriately prioritized OERs. However, there are many aspects that can be considered including motivation, getting lost, determining whether to continue, and what resource to look at next. How can we begin to design an interface that can support these? To this end, we describe our iterative ‘design in the wild’ approach, showing how it helped us to determine how to operationalise and support these aspects and, in doing so, provide us with a way of assessing the overall learning experience.
Type: | Proceedings paper |
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Title: | Design in the Wild: Interfacing the OER learning journey |
Event: | 32nd International BCS Human Computer Interaction Conference (HCI 2018) |
Location: | Belfast UK |
Dates: | 04 July 2018 - 07 July 2018 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.14236/ewic/HCI2018.165 |
Publisher version: | https://doi.org/10.14236/ewic/HCI2018.165 |
Language: | English |
Additional information: | This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Open Education Resources (OERs); Learner-centric design; Iterative design |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
URI: | https://discovery.ucl.ac.uk/id/eprint/10074923 |
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