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Mastering language and computation: how well is teaching of language technology adapted to student learning?

Authors Simon Dobnik
Published in Internal report
Publisher University of Gothenburg, Pedagogical Development and Interactive Learning (PIL)
Place of publication Gothenburg, Sweden
Publication year 2019
Published at Department of Philosophy, Linguistics and Theory of Science
Language en
Keywords language technology student diversity pedagogy
Subject categories Computational linguistics


In this paper we investigate self-reported knowledge and skills of students in the interdisciplinary masters programme in language technology where the majority of students have only studied one discipline at the previous level. We focus on the answers of students in Year 1 of the programme and those in Year 2 in order to examine how well are the current teaching strategies adapted to decrease this gap. Comparing the results with the individual reflections of the author of this study, who is a teacher in this programme, we make recommendations about improving the teaching strategies in the programme.

Page Manager: Webmaster|Last update: 9/11/2012

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