Abstract
This paper investigates adaptation of feedback to learners’ cultural backgrounds. First, we investigate how to portray the cultural background of a learner. Second, we present a qualitative focus-group study, investigating how participants from different cultures believe culture affects the kind of feedback given to a learner. Finally, we present an empirical study on how humans adapt feedback based on the cultural background of learners to inspire an algorithm. Our investigations resulted in a set of stories which can be used to reliably portray a person’s culture when
investigating cultural adaptation in indirect experiments and user as wizard studies. They also provided insights into the adaptations people make to cultural differences.
investigating cultural adaptation in indirect experiments and user as wizard studies. They also provided insights into the adaptations people make to cultural differences.
Original language | English |
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Title of host publication | UMAP '19 Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization |
Editors | George Angelos Papadopoulos, George Samaras, Stephan Weibelzahl |
Place of Publication | New York, USA |
Publisher | Association for Computing Machinery (ACM) |
Pages | 318-326 |
Number of pages | 9 |
ISBN (Electronic) | 9781450360210 |
ISBN (Print) | 9781450360210 |
DOIs | |
Publication status | Published - 9 Jun 2019 |
Event | User Modelling, Adaptation and Personalization 2019 - Golden Bay Beach Hotel, Larnaca, Cyprus Duration: 9 Jun 2019 → 12 Jun 2019 Conference number: 27 http://www.cyprusconferences.org/umap2019/ |
Conference
Conference | User Modelling, Adaptation and Personalization 2019 |
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Abbreviated title | UMAP |
Country/Territory | Cyprus |
City | Larnaca |
Period | 9/06/19 → 12/06/19 |
Internet address |
Keywords
- Feedback
- Culture
- Adaptation
- E-learning
- DIMENSIONS
- SYSTEMS