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All Journal Indonesian Journal of Electrical Engineering and Computer Science Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran
Shahbodin, Faaizah
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Education Languange, Linguistic, Communication & Media Mathematics Other

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Biomarkers of attention bias during public speaking anxiety Razak, Akmal; Feroz, Farah Shahnaz; Subramaniam, Siva Kumar; Shahbodin, Faaizah; Rajkumar, Sujatha
Indonesian Journal of Electrical Engineering and Computer Science Vol 35, No 1: July 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v35.i1.pp140-147

Abstract

The analysis of brain signals and their properties yields significant insights into the fundamental neural impairments associated with attention bias in individuals suffering from public speaking anxiety (PSA). This study aims to identify electroencephalogram (EEG) and performance biomarkers of attention bias in individuals with public speaking anxiety using the ex-Gaussian modeling technique, frontal alpha asymmetry (FAA) and delta-beta correlation (DBC). 12 subjects with high (H) PSA and 12 subjects with low (L) PSA performed the modified emotional stroop task. EEG data were captured using the low-cost 14-channel emotiv Epoc+. Results showed that the ex-Gaussian sigma was higher in the emotional condition in the high public speaking anxiety (HPSA) group, indicating attention bias. The study also found higher right FAA in HPSA compared to LPSA group. There was a negative correlation between σ and alpha power in the left region of the brain in the HPSA group, potentially related to attentional bias. Moreover, there was a notable trend towards significantly heightened DBC in the frontal and central regions of the brain among HPSA subjects. In conclusion, in biomedical engineering, the ex-Gaussian model, FAA and DBC are useful because they can identify EEG and performance biomarkers of attention bias in people with PSA.
Communication Competency Needs of Students with Autism Spectrum Disorder (ASD) : Teachers' Perspectives and Students' Abilities Khoirunnisa, Azizah Nurul; Munir, Munir; Shahbodin, Faaizah; Dewi, Laksmi
Jurnal Kependidikan : Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran, dan Pembelajaran Vol. 11 No. 1 (2025): March
Publisher : LPPM Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jk.v11i1.14863

Abstract

This study aims to analyze the communication competency needs of students with Autism Spectrum Disorder (ASD) based on teachers' perspectives and the communication abilities of the students themselves. A survey method with a quantitative approach was used, collecting data through questionnaires distributed to 41 teachers and 20 ASD students from Special Schools (SLB) in West Java. The sampling technique applied was purposive sampling. The data were analyzed using IBM SPSS Statistics version 23, with descriptive analysis techniques and reliability tests to ensure the validity of the instruments. The research results reveal that students with ASD need improvements in both receptive and expressive communication competencies, particularly in understanding multi-step instructions, recognizing visual symbols, and responding to non-verbal cues and complex questions. Furthermore, challenges were found in initiating conversations and using more specific vocabulary in social interactions. This study emphasizes the importance of developing more structured and individualized teaching strategies to enhance the communication competencies of students with ASD.
Co-Authors Feroz, Farah Shahnaz Khoirunnisa, Azizah Nurul Laksmi Dewi, Laksmi Munir Munir, Munir Razak, Akmal Subramaniam, Siva Kumar Sujatha Rajkumar