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Designing statistical learning opportunities for industry

Bakker, Arthur; Kent, Phillip; Noss, Richard; Hoyles, Celia; (2006) Designing statistical learning opportunities for industry. In: Rossman, Allan and Chance, Beth, (eds.) Proceedings of ICOTS 7 2006. (pp. pp. 1-4). International Association for Statistical Education (IASE): Salvador, Bahia, Brazil.

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Abstract

Our interest in the techno-mathematical literacies employees need in their jobs has led us to do case studies in different industrial sectors and to design learning opportunities for improving employees’ techno-mathematical literacies. We conceptualise the learning opportunities not as training or transfer, but as forms of ‘boundary crossing’ between employees from a company and us as researchers. Two examples are given in which packaging managers explore and discuss a realistic problem using TinkerPlots, an educational software tool. The results emphasise how important it is to allow managers to bring their ideas and concerns to the problem situation so they can connect these to statistical theory that is relevant in statistical process control (SPC). This approach is contrasted with SPC training we have observed in two industrial sectors.

Type: Proceedings paper
Title: Designing statistical learning opportunities for industry
Publisher version: https://iase-web.org/documents/papers/icots7/C406....
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Numeracy, Workplace
UCL classification: UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education
URI: https://discovery.ucl.ac.uk/id/eprint/10001285
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