Automatic Checking of Research Outputs (ACRO): A tool for dynamic disclosure checks (2021)
Journal Article
Green, E., Ritchie, F., & Smith, J. (2021). Automatic Checking of Research Outputs (ACRO): A tool for dynamic disclosure checks. ESS Statistical Working Papers, 2021 Edition, https://doi.org/10.2785/75954

This paper discusses the issues surrounding the creation of an automatic tool to reduce the burden of output checking in research environments. It describes ACRO (Automatic Checking of Research Outputs), a Stata tool written as a proof-of-concept, an... Read More about Automatic Checking of Research Outputs (ACRO): A tool for dynamic disclosure checks.

Statistical disclosure controls for machine learning models (2021)
Conference Proceeding
Krueger, S., Mansouri-Benssassi, E., Ritchie, F., & Smith, J. (2021). Statistical disclosure controls for machine learning models

Artificial Intelligence (AI) models are trained on large datasets. Where the training data is sensitive, the data holders need to consider risks posed by access to the training data and risks posed by the models that are released. The first problem c... Read More about Statistical disclosure controls for machine learning models.

Students’ perceptions of enhanced e-assessment feedback addressing common student errors in mathematics (2021)
Journal Article
Sikurajapathi, I., Henderson, K., & Gwynllyw, R. (2021). Students’ perceptions of enhanced e-assessment feedback addressing common student errors in mathematics. MSOR Connections, 19(2), 10-27. https://doi.org/10.21100/msor.v19i2

The Common Student Errors Project (CSE Project) has been running at the University of the West of England (UWE, Bristol) since 2017. The main aim of this project is to introduce a method to detect CSEs and to provide tailored feedback in Engineering... Read More about Students’ perceptions of enhanced e-assessment feedback addressing common student errors in mathematics.

The effectiveness of remediating mathematical Common Student Errors in e-Assessments (2021)
Presentation / Conference
Sikurajapathi, I., Henderson, K., & Gwynllyw, . R. (2021, June). The effectiveness of remediating mathematical Common Student Errors in e-Assessments. Presented at E-Assessment in Mathematical Sciences (EAMS2021), Online

The Common Student Errors Project (CSE Project) has been running at the University of the West of England (UWE, Bristol) since 2017. The main aim of this project is to introduce a method to detect CSEs and to provide tailored feedback in Engineering... Read More about The effectiveness of remediating mathematical Common Student Errors in e-Assessments.