A Visual System for Grammar Instruction in Foreign Language Learning

Abstract

Complementary to verbal explanations, visual techniques are often implemented in grammar instruction to help learners process information. Highlighting using typograhic features can help distinguish the structure in focus from its context, aiding information seeking and drawing attention to important features. Additionally, visual encoding can associate graphical traits to grammar categories to support the identification and recognition of related structures and language patterns.
An analysis of current grammar books for German as a foreign language has shown, however, that a combination of multiple encoding techniques representing coexistent grammar categories can be challenging to make sense of. The absence of a global design strategy within a book generates inconsistent and sometimes conflicting grammar representations, which can lead to misunderstandings and create a hindered and fragmented learning experience.
In order to avoid such conflicts, this research presents design guidelines to combine both techniques efficiently and introduces a visual system developed for German as a foreign language. In addition to indicating a word’s class, similar to Montessori Grammar Symbols, this system uses text appearance and symbols to indicate further grammar features relevant for non-native speakers, such as grammatical gender, case declension, verb tense, etc. By maintaining a consistent visual character, such support fosters structure recognition and comparison as well as pattern identification throughout all grammar representations. Initially developed for the German language, this systematic approach of associating grammar categories with visual features could be adapted to create new systems for other languages.



Author Information
Barbara Avila Vissirini, University of Applied Sciences Potsdam, Germany
Franziska Morlok, University of Applied Sciences Potsdam, Germany
Marian Dörk, University of Applied Sciences Potsdam, Germany

Paper Information
Conference: ECLL2020
Stream: Learning Environments

This paper is part of the ECLL2020 Conference Proceedings (View)
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