Students with dyslexia often suffer from the lack of academic self-worth and frustration that can even lead to learned helplessness. However, few studies have investigated the impact of incorporating users' motivational factors into user modeling to enhance the learning experience for students with dyslexia. In this paper we attempt to develop a conceptual motivation model for people with dyslexia in their use of assistive learning tools. To this end, we carry out a small-scale empirical study in real-world learning scenarios. Then we conduct individual interviews to gain first-hand data about the key factors and features affecting learning experience. Using coding and thematic analysis methods we discuss main themes regarding motivational factors and their interrelationships identified. Based on these findings, we create a conceptual motivation model tailored towards students with dyslexia, which will help enhance learning experience and improve learning efficiency.
|Title of host publication||SmartLearn 2017 - Proceedings of the 2017 ACM Workshop on Intelligent Interfaces for Ubiquitous and Smart Learning, co-located with IUI 2017|
|Publisher||Association for Computing Machinery, Inc|
|Number of pages||8|
|Publication status||Published - 13 Mar 2017|
|Event||2017 ACM Workshop on Intelligent Interfaces for Ubiquitous and Smart Learning, SmartLearn 2017 - Limassol, Cyprus|
Duration: 13 Mar 2017 → 13 Mar 2017
|Name||SmartLearn 2017 - Proceedings of the 2017 ACM Workshop on Intelligent Interfaces for Ubiquitous and Smart Learning, co-located with IUI 2017|
|Conference||2017 ACM Workshop on Intelligent Interfaces for Ubiquitous and Smart Learning, SmartLearn 2017|
|Period||13/03/17 → 13/03/17|
Bibliographical notePublisher Copyright:
© 2017 ACM.
The present research is conducted with crucial support by Ivar Solheim and Trenton Schulz in PLA (Personal Learning Arena) project sponsored by Norwegian Research council. We would like to express our gratitude to them for their support and all the participants for their time.
- Assistive learning software
- Conceptual model