AL: An Adaptive Learning Support System for Argumentation Skills

Item Type Journal paper
Abstract

Recent advances in Natural Language Processing (NLP) bear the opportunity to analyze the argumentation quality of texts. This can be leveraged to provide students with individual and adaptive feedback in their personal learning journey. To test if individual feedback on students' argumentation will help them to write more convincing texts, we developed AL, an adaptive IT tool that provides students with feedback on the argumentation structure of a given text. We compared AL with 54 students to a proven argumentation support tool. We found students using AL wrote more convincing texts with better formal quality of argumentation compared to the ones using the traditional approach. The measured technology acceptance provided promising results to use this tool as a feedback application in different learning settings. The results suggest that learning applications based on NLP may have a beneficial use for developing better writing and reasoning for students in traditional learning settings.

Authors Wambsganss, Thiemo; Niklaus, Christina; Cetto, Matthias; Söllner, Matthias; Handschuh, Siegfried & Leimeister, Jan Marco
Journal or Publication Title ACM CHI Conference on Human Factors in Computing Systems
Language English
Subjects computer science
information management
education
HSG Classification contribution to scientific community
HSG Profile Area SoM - Business Innovation
Refereed Yes
Date April 2020
Publisher ACM CHI Conference on Human Factors in Computing Systems
Place of Publication CHI ’20, April 25–30, 2020, Honolulu, HI, USA.
Publisher DOI ACM ISBN 978-1-4503-6708-0/20/04
Official URL http://dx.doi.org/10.1145/3313831.3376732
Depositing User Thiemo Wambsganss
Date Deposited 31 Jan 2020 15:32
Last Modified 05 Feb 2020 08:25
URI: https://www.alexandria.unisg.ch/publications/259194

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Citation

Wambsganss, Thiemo; Niklaus, Christina; Cetto, Matthias; Söllner, Matthias; Handschuh, Siegfried & Leimeister, Jan Marco (2020) AL: An Adaptive Learning Support System for Argumentation Skills. ACM CHI Conference on Human Factors in Computing Systems,

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https://www.alexandria.unisg.ch/id/eprint/259194
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