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Diagnostic language assessment: Lessons learned from rapid prototyping

  • Allan Nicholas*
  • , John Blake
  • *Corresponding author for this work
  • Center for Language Research (CLR)

Research output: Chapter in Book/Published conference outputConference publication

Abstract

In this paper, we provide the rationale for a computerized diagnostic language assessment (DLA) of email writing for Japanese undergraduates. The development of a rapid prototype of the DLA system is then described, and lessons learned from the process are shared. The DLA focuses on pragmatic competence – the ability to alter one’s language choices relating to politeness, formality and structure, depending on the social context of the communication. While tools now exist to assist with learners’ grammar problems and vocabulary, few exist for this pragmatic aspect of communication. Furthermore, traditional language assessments typically provide an overall score of learner ability without identifying specific strengths and weaknesses. The DLA seeks to address this issue via a three-stage process: 1) assessment administration; 2) provision of feedback to the learner, and 3) provision of further individualized instruction based on the assessment results. To gain a better perspective of the problems and to start to climb the learning curve as quickly as possible, rapid prototyping using Axure RP was selected. This high-fidelity prototype of the DLA was designed for some use cases. Numerous lessons were learned. Notably, rapid prototyping is not necessarily rapid. Early feedback on usability and the user experience were received from the rapid prototyping, helping the developer gain a better understanding of the user needs and discover any unexpected usability issues prior to actual coding. Another ongoing advantage is that rather than describing the expected functionalities of the software to stakeholders or interested parties, the functionalities of the fully-fledged DLA can be shown using the prototype. The prototype functions as an interactive visual aid, reducing miscommunication and providing a focus around which discussions can be based.

Original languageEnglish
Title of host publicationICCE 2019 - 27th International Conference on Computers in Education, Proceedings
EditorsMaiga Chang, Hyo-Jeong So, Lung-Hsiang Wong, Fu-Yun Yu, Ju-Ling Shih, Ivica Boticki, Ming-Puu Chen, Ali Dewan, Stian Haklev, Elizabeth Koh, Tomoko Kojiri, Kuo-Chen Li, Daner Sun, Yun Wen
Pages679-684
Number of pages6
ISBN (Electronic)9789869721431
Publication statusPublished - 19 Nov 2019
Event27th International Conference on Computers in Education, ICCE 2019 - Kenting, Taiwan
Duration: 2 Dec 20196 Dec 2019

Publication series

NameICCE 2019 - 27th International Conference on Computers in Education, Proceedings
PublisherAsia-Pacific Society for Computers in Education
Volume1

Conference

Conference27th International Conference on Computers in Education, ICCE 2019
Country/TerritoryTaiwan
CityKenting
Period2/12/196/12/19

Keywords

  • Azure RP
  • Diagnostic language assessment
  • EFL
  • Pragmatics
  • Rapid prototyping

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