Exploring Types of On-Demand Reading Assistance for Elementary School Students
Kutter, Jonathan and Lunte, Tobias and Boll, Susanne
Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems
The ability to read is an essential skill for participating in modern society, yet almost 20of all third- and fourth grade students in Germany do not have a sufficient level of reading performance. Computer-based learning assistants provide a promising approach for wide-spread reading support, however, it is unclear which types of assistance visualization are effective in overcoming reading difficulties. We present a prototype of an interactive online reading assistant for self-directed learning. This prototype comprises tools for adjusting the text display as a whole, as well as assistance visualizations for individual words (syllabication, explanation and base form). In a formative user test with five primary school students, we gather feedback regarding the general acceptance of the application, differences between the assistance types and suggestions for further improvement. In addition, we provide guidelines on how to adjust the evaluation procedure to better match the intended user group in the future.
2023
inproceedings
Association for Computing Machinery
CHI EA '23
OFFIS Autoren
