Currently browsing: Items authored or edited by Victoria Murphy https://orcid.org/0000-0002-2499-093X

Tipping, Sarah; Murphy, Victoria; Yeates, Nicola; Montoro, Carlos; Ismail, Gihan and Ismail, Nashwa (2022). Migrant health worker deaths during Covid-19: a methodological exploration and initial estimates. The Open University-Public Services International, Milton Keynes/Ferney Voltaire.

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Murphy, Victoria; Iniesto, Francisco and Scanlon, Eileen (2022). Higher Education’s Digitalisation: Past, Present, and Future. In: Kaplan, Andreas ed. Digital Transformation and Disruption of Higher Education. Cambridge University Press.

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Murphy, V. L.; Littlejohn, Allison and Rienties, Bart (2022). Learning from incidents: applying the 3-P model of workplace learning. Journal of Workplace Learning, 34(3) pp. 242–255.

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Minocha, Shailey; Murphy, Victoria and Scanlon, Eileen (2021). Designing Ethical Assessment. In: CALRG Annual Conference 2021, 15-16 Jun 2021, The Open University, UK (online).

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Iniesto, Francisco; Murphy, Victoria; Scanlon, Eileen and Shi-Min, Chua (2021). OpenTEL: lessons from a pandemic for the future of distance education. In: EDEN 30th Annual Conference 2021, 21-24 Jun, Madrid.

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Murphy, Victoria (2020). Coronavirus is no longer seen as high risk by many – and that’s undermining control measures. The Conversation.

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Murphy, Vicky Louise (2020). Learning From Incidents And Implementing Action: Exploring Expectations And Contradictions In The Energy Sector. PhD thesis The Open University.

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Papathoma, Tina; Ferguson, Rebecca; Iniesto, Francisco; Rets, Irina; Vogiatzis, Dimitrios and Murphy, Victoria (2020). Guidance on how Learning at Scale can be made more accessible. In: Proceedings of the Seventh ACM Conference on Learning@ Scale, Aug 12-14, Georgia Tech, Atlanta, GA, pp. 289–292.

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Murphy, Victoria; Littlejohn, Allison and Rienties, Bart C. (2019). Social network analysis and activity theory: A symbiotic relationship. In: Froehlich, Dominik E.; Rehm, Martin and Rienties, Bart C. eds. Mixed methods social network analysis: Theories and methodologies in learning and education. London, United Kingdom: Routledge, pp. 113–125.

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Chaudhari, Vasudha; Murphy, Vicky and Littlejohn, Allison (2019). The Educational Intelligent Economy – Lifelong Learning – A vision for the future. In: Jules, Tavis D. and Salajan, Florin D. eds. The Educational Intelligent Economy: Artificial Intelligence, Machine Learning and the Internet of Things in Education. International Perspectives on Education and Society, 38. Emerald, pp. 109–126.

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Murphy, Victoria L.; Coiro, Julie and Kiili, Carita (2019). Exploring Patterns in Student Dialogue While Using a Digital Platform Designed to Support Online Inquiry. Journal of Interactive Media in Education, 2019(1) pp. 1–13.

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Murphy, Victoria L.; Littlejohn, Allison; Rienties, Bart and King, Stuart (2019). Reflecting on incidents: Barriers and tactics. Petroleum Review pp. 30–31.

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Mittelmeier, Jenna; Edwards, Rebecca L.; Davis, Sarah K.; Nguyen, Quan; Murphy, Victoria L.; Brummer, Leonie and Rienties, Bart (2018). ‘A double-edged sword. This is powerful but it could be used destructively’: Perspectives of early career education researchers on learning analytics. Frontline Learning Research, 6(2) pp. 20–38.

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Murphy, V. L.; Littlejohn, A.; Rienties, B.; King, S. and Bryden, R. (2018). How do you know if you’re learning from incidents? In: SPE International Conference and Exhibition on Health, Safety, Security, Environment, and Social Responsibility, 16-18 Apr 2018, Abu Dhabi, UAE, Society of Petroleum Engineers.

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Murphy, V. L.; Littlejohn, A.; Rienties, B.; King, S. and Bryden, R. (2018). Where does information on incidents come from? In: SPE International Conference and Exhibition on Health, Safety, Security, Environment, and Social Responsibility, 16-18 Apr 2018, Abu Dhabi, UAE.

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