Abstract
Applied behavior analysis (ABA) has become a popular behavioral therapy in the special education needs (SEN) community. ABA is used to manage SEN students’ behaviors by solving problems in socially important settings, and puts emphasis on having precise measurements on physical and observable events. In this work, we present how Internet of Things (IoT) technologies can be applied to enhance ABA therapy in normal SEN classroom settings. We measured (1) learning performance data, (2) learners’ physiological data, and (3) learning environment sensors’ data. Upon preliminary analysis, we have found that learners’ physiological data is highly diverse, while learner performance seems to be related to learners’ electrodermal activity. Our preliminary findings suggest the possibility of enhancing ABA for SEN with IoT technologies. Copyright © 2021 by the authors.
| Original language | English |
|---|---|
| Article number | 6693 |
| Journal | Sensors |
| Volume | 21 |
| Issue number | 19 |
| DOIs | |
| Publication status | Published - Oct 2021 |
Citation
Wong, C. M. V., Chan, R. Y.-Y., Yum, Y. N., & Wang, K. (2021). Internet of things (IoT)-enhanced applied behavior analysis (ABA) for special education needs. Sensors, 21(19). Retrieved from https://doi.org/10.3390/s21196693Keywords
- Internet of Things (IoT)
- Applied behavior analysis (ABA)
- Autism spectrum disorder (ASD)
- Special education needs (SEN)
- PG student publication
