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Rebecca Strachan
Researcher at Northumbria University
Publications - 60
Citations - 1012
Rebecca Strachan is an academic researcher from Northumbria University. The author has contributed to research in topics: Educational technology & Active learning. The author has an hindex of 12, co-authored 56 publications receiving 777 citations. Previous affiliations of Rebecca Strachan include Sheffield Hallam University.
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Journal ArticleDOI
Hybrid decision tree and naïve Bayes classifiers for multi-class classification tasks
TL;DR: Two independent hybrid mining algorithms to improve the classification accuracy rates of decision tree (DT) and naive Bayes (NB) classifiers for the classification of multi-class problems are introduced.
Journal ArticleDOI
An adaptive ensemble classifier for mining concept drifting data streams
Dewan Md. Farid,Li Zhang,Alamgir Hossain,Chowdhury Mofizur Rahman,Rebecca Strachan,Graham Sexton,Keshav Dahal +6 more
TL;DR: An adaptive ensemble approach for classification and novel class detection in concept drifting data streams that uses traditional mining classifiers and updates the ensemble model automatically so that it represents the most recent concepts in data streams.
Proceedings ArticleDOI
Diversity and inclusion in engineering education: Looking through the gender question
Aruquia Peixoto,Carina Soledad González González,Rebecca Strachan,Pedro Plaza,Maria de los Angeles Martinez,Manuel Blazquez,Manuel Castro +6 more
TL;DR: A number of approaches to support diversity and inclusion to encourage a greater uptake of engineering by underrepresented groups and to retain people in the sector are examined.
Journal ArticleDOI
A novel approach to teaching teamwork
TL;DR: In this article, the authors used a business game simulation to teach teamwork skills in a postgraduate course during the early stages of a course, where the teamwork element forms part of a study skills module and helps the transition to postgraduate study.
Proceedings ArticleDOI
Women in engineering: Addressing the gender gap, exploring trust and our unconscious bias
TL;DR: The paper draws on the perspectives of four women at different stages of their career and their lived experiences of being female in the engineering sector to provide an insight into how to address the gender gap by exploring the authors' own notions of trust and unconscious bias.