Correct for the wrong reason: Why we should know more about mathematical common student errors in e-assessment questions

Sikurajapathi, Indunil; Henderson, Karen; Gwynllyw, Rhys

Abstract

Students may arrive at an incorrect answer when answering a mathematical question due to several reasons, such as random errors, calculation errors or misreading the question. Such errors are sometimes referred to as Common Student Errors (CSEs).
Several e-Assessment systems have been developed and used by universities to conduct formative and summative assessments. Dewis is a fully algorithmic open-source e-Assessment system, which was primarily developed at the University of the West of England (UWE Bristol).
The CSE project at UWE Bristol began with an aim of developing a technique to detect CSEs and provide tailored feedback in Dewis e-Assessment questions. In this talk, we briefly present one important finding of this project that is related to the parameter selections of e-Assessment questions which have at least one CSE. We will highlight why it is important to know more about mathematical CSEs in this digital era than ever before.

Citation

Sikurajapathi, I., Henderson, K., & Gwynllyw, R. (2022, September). Correct for the wrong reason: Why we should know more about mathematical common student errors in e-assessment questions. Presented at Continuing Excellence in Teaching and Learning in Mathematics, Statistics and Operational Research conference (CETL-MSOR-2022), Abertay University, Dundee , Scotland

• Presentation Conference Type: Speech
• Conference Name: Continuing Excellence in Teaching and Learning in Mathematics, Statistics and Operational Research conference (CETL-MSOR-2022)
• Conference Location: Abertay University, Dundee , Scotland
• Start Date: Sep 1, 2022
• End Date: Sep 2, 2022
• Publication Date: Sep 2, 2022
• Deposit Date: Sep 2, 2022
• Publicly Available Date: Sep 7, 2022
• Keywords: STEM, Teaching, Education, Mathematics, e-assessment, assessments
• Public URL: https://uwe-repository.worktribe.com/output/9942752
• Publisher URL: https://www.conventiondundeeandangus.co.uk/attending/conferences/cetl-msor2022