Quantext: Analysing student responses to short-answer questions

Concise paper

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Jenny McDonald
University of Auckland

Adon Moskal
Otago Polytechnic

Catch this session

Monday 4 December, 1.30pm – 1.50pm
Stream 4
Room L209


We introduce a web-based tool for teachers to support the rapid analysis of student responses to short answer or mini-essay questions. Designed to support teaching in large-class settings, it aims to bring to practicing teachers analytic tools that can reveal insights in their student text data. We background development of the tool to date, briefly describe its architecture and features, and report on a bench-test evaluation. Finally, we introduce a pilot study to evaluate the tool in classrooms at three NZ universities and one polytechnic. We conclude with options for accessing the tool and outline plans for ongoing development.

About the authors

Jenny McDonald

Dr Jenny McDonald is co-developer of Quantext and a Research Associate at the Centre for Learning and Research (CLeaR), University of Auckland. Jenny is an experienced educational technologist and academic developer. She has particular research interests in natural language processing techniques for formative feedback and learning analytics. She was co-PI with A/Prof. Cathy Gunn on the recent NZ Ako-funded project, ‘Building an evidence-base for teaching and learning design using learning analytics data’.

Adon Moskal

Adon Moskal is co-developer of Quantext and a lecturer in Information Technology at Otago Polytechnic. From 2011-2016, Adon was a Professional Practice Fellow at the University of Otago where he developed software and researched educational technology. His research interests include student evaluation, academic development and learning analytics. Recently, Adon was a co-investigator and co-developer of the Student Relationship Engagement System v2 with researchers from the University of Auckland and the University of Sydney.