Dr Jenny McDonald
Director Quantext and Honorary Academic at the Centre for Learning and Research (CLeaR)
The University of Auckland
It is more critical than ever to make a difference in the education of current students and lifelong learners as both students and educational institutions bear the increased costs of poor performance and dropout. Jenny McDonald will present a case study on a new language processing platform designed to support teachers to enhance student learning. With illustrations from three common teacher workflows, Jenny will demonstrate opportunities to enhance student learning through the application of practical text analytic techniques
This session will show you how to:
- Evaluating short-form student writing at scale
- Identifying common misconceptions
- Addressing pedagogenic errors (i.e. problems related to teaching errors)
- Exploring student understanding
Students are demanding more for their educational investments, and educational institutions need to meet this expectation and provide the best possible learning experience. With the right analytic tools, teachers will have a much more accurate picture of where each student stands in relation to the demands of their course and can tailor appropriate feedback and course design to enhance student learning.
This workshop will provide hands-on experience with a new text analytic platform. The platform is designed by teachers for teachers and supports the identification of actionable teaching insights from the interplay between student and teacher language. Data is drawn from short-form student writing (short-answer question responses, discussion forum posts, mini-essays) as well as from course teaching materials (e.g. lecture notes, course books, video transcripts).
- Overview of the text analytic platform, called Quantext
- Demonstration of the software using common teacher workflows
- Opportunity for hands-on practice
- Group discussion, sharing insights gained, reflection on application in own courses/ institutions
- Potential to explore data over time and across cohorts to inform course design