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Professional Learning Analytics: Understanding complex learning processes through measurement, collection, analysis, and reporting of MOOC data

Littlejohn, A; Kennedy, E; Laurillard, D; (2022) Professional Learning Analytics: Understanding complex learning processes through measurement, collection, analysis, and reporting of MOOC data. In: Goller, M and Kyndt, E and Paloniemi, S and Damsa, C, (eds.) Methods for Researching Professional Learning and Development. Professional and Practice-based Learning. (pp. 557-578). Springer Nature: Cham, Switzerland.

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Abstract

Global, organisational and technological changes are transforming the world of work. To respond to these changes, professionals need to be able to adapt and upskill flexibly, elevating the need for lifelong professional learning. Technological systems are being used to provide professional learning at scale, supported by learning analytics to scaffold the learner. Learning Analytics has been defined as ‘the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimising learning and the environments in which it occurs’ (Siemens G, Long P, EDUCAUSE Rev 46(5), 2011, p. 30). It comprises a range of methods, from ‘predictive analytics’ that identify ‘at risk’ learners, to ‘multimodal’ methods that bring together diverse data to help inform learners. Alongside potential benefits of Learning Analytics are a number of problems of datafication, such as increased workplace surveillance, automation of decisions and making use of available data, rather than identifying specific data needed to answer research questions. This chapter considers these and other methodological challenges, through presentation of case examples of forms of Learning Analytics from professional development Massive Open Online Courses (MOOCs). Each example considers the complex processes within professional learning and how these might be analysed in future using new methods for Professional Learning Analytics.

Type: Book chapter
Title: Professional Learning Analytics: Understanding complex learning processes through measurement, collection, analysis, and reporting of MOOC data
ISBN-13: 978-3-031-08517-8
DOI: 10.1007/978-3-031-08518-5_25
Publisher version: https://doi.org/10.1007/978-3-031-08518-5_25
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: Professional learning, Learning analytics, Online learning, Digital education, Digital data, Value creation
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/10142299
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