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EQUIPES PROFISSIONAIS

Analise dados com codificação para promover a autoria

A ciência de dados é vital na era digital para apoiar a Pesquisa e Inovação Responsáveis.

 

Esta iniciativa baseada em vários projetos (por exemplo, TeSLA) concentra-se em big data, métodos mistos e ferramentas de codificação para examinar como promover a autoria e as competências para transformações digitais

Working Together
Referências

Okada, A., Noguera, I., Alexieva, L., Rozeva, A., Kocdar, S., Brouns, F., ... & Guerrero‐Roldán, A. E. (2019). Pedagogical approaches for e‐assessment with authentication and authorship verification in Higher Education. British Journal of Educational Technology.

Okada, A., Whitelock, D., Holmes, W., & Edwards, C. (2019). e‐Authentication for online assessment: A mixed‐method study. British Journal of Educational Technology, 50(2), 861-875

Okada, Alexandra and Whitelock, (2018) Denise Responsible Research and Innovation with data science: a novel approach to evaluate trust of the European TeSLA system. In: 6th International Conference on Human-Agent Interaction, 15-18 Dec 2018, Southhampton.

Okada, A., Whitelock, D., & Holmes, W. (2017). Students’ views on trust-based e-assessment system for online and blended environments.

Okada, A., Whitelock, D., Holmes, W., & Edwards, C. (2017, October). Student Acceptance of Online Assessment with e-Authentication in the UK. In International Conference on Technology Enhanced Assessment (pp. 109-122). Springer, Cham.

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