Ahsan Romadlon Junaidi, Muchamad Irvan, Muhammad Nurrohman Jauhari, Joko Yuwono
This study explores the implementation of smartphone-based emotion regulation learning for students with Autism Spectrum Disorder in East Java. A total of 123 students with autism participated in the study, with varying levels of functioning classified as high-functioning (HF) and low-functioning (LF). The research aimed to assess the effectiveness of the smartphone application 'Emotion Recognition Assistance' in enhancing the participants' ability to recognize and regulate emotions, specifically focusing on four emotional expressions: happiness, sadness, anger, and fear. The study employed a pre-experimental one-shot case study design, utilizing the Friedman Test and Kruskal-Wallis Test for data analysis. The results indicate a significant improvement in emotion recognition abilities among participants, with those in the HF category showing greater gains compared to the LF group. The findings suggest that smartphone-based emotion regulation learning can be an effective tool for improving emotional awareness and regulation among students with autism, particularly those with higher functioning levels. © 2024 IEEE.
Universitas Negeri Malang, Special Education Departmen, Malang, Indonesia; Universitas PGRI Adi Buana, Special Education Departmen, Surabaya, Indonesia; Universitas Sebelas Maret, Special Education Departmen, Surakarta, Indonesia