| Literature DB >> 28649209 |
Stéphanie Giraud1,2, Anke M Brock3,4, Marc J-M Macé1,2, Christophe Jouffrais1,2,5.
Abstract
Special education teachers for visually impaired students rely on tools such as raised-line maps (RLMs) to teach spatial knowledge. These tools do not fully and adequately meet the needs of the teachers because they are long to produce, expensive, and not versatile enough to provide rapid updating of the content. For instance, the same RLM can barely be used during different lessons. In addition, those maps do not provide any interactivity, which reduces students' autonomy. With the emergence of 3D printing and low-cost microcontrollers, it is now easy to design affordable interactive small-scale models (SSMs) which are adapted to the needs of special education teachers. However, no study has previously been conducted to evaluate non-visual learning using interactive SSMs. In collaboration with a specialized teacher, we designed a SSM and a RLM representing the evolution of the geography and history of a fictitious kingdom. The two conditions were compared in a study with 24 visually impaired students regarding the memorization of the spatial layout and historical contents. The study showed that the interactive SSM improved both space and text memorization as compared to the RLM with braille legend. In conclusion, we argue that affordable home-made interactive small scale models can improve learning for visually impaired students. Interestingly, they are adaptable to any teaching situation including students with specific needs.Entities:
Keywords: education technology; interactive maps; low-cost prototyping; spatial cognition; special needs; tangible user interfaces; visual impairment
Year: 2017 PMID: 28649209 PMCID: PMC5465293 DOI: 10.3389/fpsyg.2017.00930
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Number of early and late blind subjects with high (experts) and low (non-experts) spatial skills.
| Condition | Blindness | Spatial skills | Number |
|---|---|---|---|
| Early | Experts | 5 | |
| Early | Non-Experts | 4 | |
| Late | Experts | 2 | |
| Late | Non-Experts | 1 | |
| Early | Experts | 4 | |
| Early | Non-Experts | 3 | |
| Late | Experts | 3 | |
| Late | Non-Experts | 2 | |
| Total | 24 | ||
Mean scores (N = 24; SD in parentheses) to historical questions, geographical questions (route and survey), and SUS for raised-line map and interactive small-scale model.
| Dependent variables | Raised-line map | Interactive small-scale model | |||
|---|---|---|---|---|---|
| 58% (12.7) | 72.6% (12) | -2.9∗ | |||
| Overall | 28.8% (10.4) | 54.9% (10.3) | -6.14∗∗ | ||
| Route | 32.6% (16.1) | 57.6% (14.4) | -4.01∗∗ | ||
| Survey | 25% (12.3) | 52.1% (17.5) | -4.39∗∗ | ||
| 76.7% (15.1) | 85.4% (12.3) | -1.6ns | |||