Currently browsing: Items authored or edited by Tina Papathoma

Papathoma, Tina; Littlejohn, Allison and Ferguson, Rebecca (2022). Enabling online learning: who are the educators? In: Sharpe, Rhona; Bennett, Sue and Varga-Atkins, Tünde eds. Handbook of Digital Higher Education. Elgar Handbooks in Education. Elgar, pp. 99–110.

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Hlosta, Martin; Herodotou, Christothea; Papathoma, Tina; Gillespie, Anna and Bergamin, Per (2022). Predictive learning analytics in online education: A deeper understanding through explaining algorithmic errors. Computers and Education: Artificial Intelligence, 3, article no. 100108.

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Papathoma, Tina; Ferguson, Rebecca and Vogiatzis, Dimitrios (2021). Accessible learning, accessible analytics: a virtual evidence café. In: Companion Proceedings 11th International Conference on Learning Analytics & Knowledge (LAK21).

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Herodotou, Christothea; Papathoma, Tina; Aristeidou, Maria; Miller, Grant; Ghadiri, Maryam; Lorke, Julia and Ballard, Heidi (2020). What do young volunteers learn from participation in online crowdsourced citizen science? Environmental science learning through Zooniverse. In: ECSA conference 2020, 7-10 Sep 2020, Trieste, Italy.

Scanlon, Eileen and Papathoma, Tina (2020). Citizen science as interdisciplinary working. In: Networked Learning Conference, 2020, 18-20 May 2020, Kolding, Denmark.

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Herodotou, Christothea; Papathoma, Tina; Davies, Gareth; Gaved, Mark and Scanlon, Eileen (2020). Interdisciplinary research in technology-enhanced learning: Strategies for effective working. In: International Conference of the Learning Sciences (ICLS 2020), 19-23 Jun 2020, Nashville, TN, USA.

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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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Hlosta, Martin; Papathoma, Tina and Herodotou, Christothea (2020). Explaining Errors in Predictions of At-Risk Students in Distance Learning Education. In: Artificial Intelligence in Education, Lecture Notes in Computer Science (LNCS), Springer, pp. 119–123.

Papathoma, Tina (2019). How Digital Learning Processes Meet The Ever Changing Needs Of The Policing Profession? Enablers And Barriers In Its Application. In: BAM2019: British Academy of Management Conference Proceedings, 3-5 Sep 2019, Birmingham, UK.

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Papathoma, Tina; Ferguson, Rebecca; Littlejohn, Allison and Coe, Angela (2016). Making the Production of Learning at Scale more Open and Flexible. In: L@S '16: Proceedings of the Third ACM Conference on Learning @ Scale, ACM, pp. 273–276.

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Papathoma, Tina; Blake, Canan; Clow, Doug and Scanlon, Eileen (2015). Investigating Learners’ Views of Assessment Types in Massive Open Online Courses (MOOCs). In: Design for Teaching and Learning in a Networked World, Springer, pp. 617–621.

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Papathoma, Tina (2019). MOOC Educators: Who They Are And How They Learn. Doctor of Philosophy (PhD) thesis The Open University.

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Papathoma, Tina (2015). Investigating Different Types of Assessment in Massive Open Online Courses. Master of Research (MRes) thesis The Open University.

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Robinson, L.D.; Miller, A.E.; Burton, V.J.; Herodotou, Christothea; Higgins, L.; Miller, G.R.M.; Young, A.N.; Ghadiri Khanaposhtani, M.; Benavides Lahnstein,, A.I.; Sanghera, H.K.; Johnson, R.F.; Aristeidou, Maria; Ballard, H.L.; Jennewein, J.; Lorke, J.; Pratt-Taweh, S.; Wardlaw, J.; Ismail, Nashwa; Pauly, G.B.; Papathoma, Tina and Swanson, R.D. (2021). Enhancing youth learning through Community and Citizen Science: a guide for practitioners.

Papathoma, Tina; Littlejohn, Allison and Ferguson, Rebecca (2017). How HE educators learn to teach Massive Open Online Courses. A case study.

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Littlejohn, Allison; Papathoma, Tina; Smidt, Samantha; Jelfs, Anne; Bridgman, Sarah and Coe, Angela (2015). Driving Disruptive Innovation: Analysis of changes in Professional Practice through the production of an OU module (S309).