Autism Spectrum Disorder (ASD); Symptoms, Causes, Diagnosis, Intervention, and Counseling Needs of the Families in Jordan

Ali, Elloumi; Aladwan, Fatima; Al-Naimat, Y. M.

doi:10.5539/mas.v13n5p48

Cited by 8 publications

(5 citation statements)

References 27 publications

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“…Knowledge part of the study instrument consist of two types of questions: truefalse questions (1,3,5,6,7,9,13,14,15,16) with two responses one correct and one incorrect responses, the correct response was coded with (2) points and the incorrect response coded with (1) point. and multiple-choice questions (2,4,8,10,11,12) with four responses one correct and three incorrect responses the correct response was coded with (2) points and the incorrect response coded with (1) point. Regarding attitude part used three-point Likert scale (agree, Uncertain, disagree) and scoring was (3) points for agree, (2) point for Uncertain and (1) point for disagree.In this study, when measuring knowledge of the caregivers, it is found that the MS: Mean of Scores was poor at MS = 1-1.33 and fair at MS = 1.34-1.67 while it considered good at MS ≥ 1.68.While, in measuring attitude of the caregivers, it is found that the MS: Mean of Scores was poor at MS = 1-1.33 and fair at MS = 1.34-2.66 while it considered good at MS ≥ 2.67.…”

Section: Rating and Scoringmentioning

confidence: 99%

The effectiveness of the educational program among caregivers of children with autism spectrum disorders

Alkazam

Al-Dujaili

2022

ijhs

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Psychiatric disorders are one of the leading causes of disability worldwide, Autism spectrum disorder (ASD) is a “developmental disorder” that is marked by social communication and interaction difficulties, as well as repetitive or restricted activities and interests. The study aims to evaluate the effectiveness of educational program for caregivers of kids with Autism Spectrum Disorders and to assess the knowledge and attitude of caregivers. The current study has used a quasi-experimental design to determine the impact of an educational program among caregivers of children with ASD. Between the 1st of December 2021 and the 2nd of February 2022, this research has been carried out among the caregivers of children with the ASD in Iraq / Najaf, both in the rural and urban areas. A non-probability purposive sample of (52) caregivers were selected from the Imam Hussein Autism Center (IHAC) along with (37) and (15) samples from Imam Ali Institute in Najaf city. The caregivers between the ages of 27 and 36 (46.2%), female caregivers (61.5%) those who are graduated in institute and college (28.8 %) and those with secondary school (28.8 %) .

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Section: Rating and Scoringmentioning

confidence: 99%

The effectiveness of the educational program among caregivers of children with autism spectrum disorders

Alkazam

Al-Dujaili

2022

ijhs

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“…On the other hand, the confusion matrix also produces accurate precision, recall, and f1-score values, where precision according to equation (15) represents the accuracy of the requested data with the results given by the model. Recall depicts the success of the model in finding information according to equation (14). In addition, the f1score is used if the FN and FP values are not close to symmetric, so the f1-score is used as a reference following equation (17).…”

Section: Linear Discriminant Analysis (Lda) Resultsmentioning

confidence: 99%

Classification of EEG Signal using Independent Component Analysis and Discrete Wavelet Transform based on Linear Discriminant Analysis

Melinda,

Maulisa,

Nabila

et al. 2023

JOIV : Int. J. Inform. Visualization

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Autism Spectrum Disorder (ASD) is a neurodevelopment syndrome decreasing sufferers' social interaction, communication skills, and emotional expression. Autism syndrome can be detected using an electroencephalogram (EEG). This study utilized the EEG of autistic people to support the classification study of machine learning schemes to produce the best accuracy. One of the best approaches to classify the EEG signal is The Linear Discriminant Analysis (LDA), a machine learning technique to classify autism and normal EEG signals. LDA was chosen because it can maximize the distance between classes and minimize the number of scatters by utilizing between and within-class functions. This method was combined with other methods: Independent Components Analysis (ICA) and Discrete Wavelet Transform (DWT), to improve the accuracy system. ICA removes artifacts or signals other than brain signals that can cause noise in the EEG signal, so the analyzed signal was a complete EEG signal without other factors. DWT can help increase noise suppression in the EEG signal and provide signal information through frequency and time representation. The EEG dataset was collated from 16 children (eight autistic and eight normal). The signals from the dataset were filtered by artifacts using ICA, decomposed by three levels through DWT, and classified using the Linear Discriminant Analysis (LDA) technique. Using the Confusion Matrix, the results reveal the best accuracy of 99%.

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“…They typically experience restrictions on social communication and often try to socialize in a very structured manner. It is important to understand that these issues are not a sign of disinterest or reluctance to socialize but arise from their struggle to use appropriate social, communication, and language skills (Adnyani & Munir, 2022;Ali et al, 2019;Minaabad, 2020). Autism is classified as a spectrum disorder due to the various types of symptoms and severity.…”

Section: Introductionmentioning

confidence: 99%

“…Some programs and strategies aim to address the main challenges of social communication in autism, for instance, social skills training programs that have shown moderate helpful evidence. This can involve the participation of family members and friends, lengthening the sessions, incorporating targeted activities to enhance self-awareness of one's emotional states, and utilizing more visual aids (Ali et al, 2019;Lord et al, 2020;Padmadewi & Artini, 2017). Providing educational support to students with ASD early on is crucial for their long-term academic success and overall quality of life as adults (Kumar & Behera, 2021).…”

Section: Introductionmentioning

confidence: 99%

Empowering Social Environment as Scaffolding for Students with Autistic Spectrum Disorder (ASD) in Teaching Basic Communication

Padmadewi,

Sukadana,

Purandina

et al. 2024

SOSHUM

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Students with ASD have obvious characteristics that they have limitations in making communication and have low social awareness. For that reason, they need to be supported on how they can improve their communication ability. This research aimed to describe how the social environment is empowered and created to help students with ASD learn to communicate. The study's design was a multi-case study conducted in an inclusive school in North Bali. Three cases of students with ASD with their teachers, the school principal, and a technical assistant were involved as the study's subjects. The data were collected for 12 months and analyzed qualitatively. The study results show that several types of social environments were modified to teach students about basic communications such as morning circles, cooperative buddy programs, sensory garden programs, modelling, and go-play activities. The use of the programs functions as scaffolding, which then indicates improvements in the students ' social interactions and basic communication. The implication of this study suggests the importance of creating a supportive social environment program for students with ASD to enhance their social awareness and interaction.Students with ASD have obvious characteristics that they have limitations in making communication and have low social awareness. For that reason, they need to be supported on how they can improve their communication ability. This research aimed to describe how the social environment is empowered and created to help students with ASD learn to communicate. The study's design was a multi-case study conducted in an inclusive school in North Bali. Three cases of students with ASD with their teachers, the school principal, and a technical assistant were involved as the study's subjects. The data were collected for 12 months and analyzed qualitatively. The study results show that several types of social environments were modified to teach students about basic communications such as morning circles, cooperative buddy programs, sensory garden programs, modelling, and go-play activities. The use of the programs functions as scaffolding, which then indicates improvements in the students ' social interactions and basic communication. The implication of this study suggests the importance of creating a supportive social environment program for students with ASD to enhance their social awareness and interaction.

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Autism Spectrum Disorder (ASD); Symptoms, Causes, Diagnosis, Intervention, and Counseling Needs of the Families in Jordan

Cited by 8 publications

References 27 publications

The effectiveness of the educational program among caregivers of children with autism spectrum disorders

The effectiveness of the educational program among caregivers of children with autism spectrum disorders

Classification of EEG Signal using Independent Component Analysis and Discrete Wavelet Transform based on Linear Discriminant Analysis

Empowering Social Environment as Scaffolding for Students with Autistic Spectrum Disorder (ASD) in Teaching Basic Communication

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