ALASI18: Writing Analytics workshop

Introduction

Writing is a fundamental learning activities across learning contexts. With the recent advancement of natural language processing techniques, text analytics are able to identify salient textual features of student essays. However, how to map the textual features to writing feedback could be different in a different learning context. This workshop seeks to connect the technicians and learning designers that work on writing feedback generation. We will demonstrate how (Natural Language Processing) NLP technologies can analyse writing from learning contexts, and how feedback can be created from these computational analyses. Participants will work with a set of text analysis code to extract features using the Text Analytics Pipeline (TAP) and map them to writing feedback using two case studies. Participants with extended technical knowledge will also be given the opportunity to develop rules based on extracted text features to write feedback for their own pedagogic contexts with additional support.

Schedule

Who should attend?

Requirements

Expected outcomes

Workshop Organisers