Effectiveness of Working Memory Training on Executive Functions and Cognitive Flexibility in Students with Specific Learning Disorder
ABSTRACT
The present study aimed to determine the effectiveness of working memory training on executive functions and cognitive flexibility in students with specific learning disorder. Methodologically, this study was quasi-experimental and employed a pretest–posttest design with a control group. The statistical population included all children diagnosed with specific learning disorders in Ardabil City during the second semester of the 2023–2024 academic year. The research sample consisted of 45 children with specific learning disorder, who were then randomly assigned to two groups of 15 participants each (experimental group and control group). The experimental group received group-based working memory training over 12 sessions of 60 minutes each, whereas the control group did not receive any therapeutic intervention during the study period. Data collection instruments included the Learning Problems Questionnaire developed by Wilcutt et al. (2011), the Behavior Rating Inventory of Executive Function developed by Gioia et al. (2000), and the Wisconsin Card Sorting Test developed by Grant and Berg (1948). The obtained data were analyzed using repeated-measures analysis of variance. The results indicated that working memory training had a significant effect on executive functions and cognitive flexibility in students with specific learning disorder. Accordingly, it can be concluded that working memory training can be used to improve executive functions and cognitive flexibility in students with specific learning disorder.
The Relationship Between Mindfulness and Social Anxiety with the Mediating Role of Metacognitive Beliefs in Mothers of Children with Autism and Intellectual Disability
The aim of the present study was to examine the relationship between mindfulness and social anxiety with the mediating role of metacognitive beliefs in mothers of children with autism and intellectual disability. In terms of purpose, the research was applied, and in terms of data collection, it employed a descriptive correlational design based on structural equation modeling. The statistical population included all mothers of children with autism and intellectual disability in Behshahr County, totaling 618 individuals, from whom 237 participants were selected as the sample based on the Krejcie and Morgan table using convenience sampling. Standardized questionnaires—including the Wells and Cartwright-Hatton Metacognitions Questionnaire (2004) (α = 0.79), the Connor et al. Social Anxiety Questionnaire (2000) (α = 0.82), and the Baer et al. Mindfulness Questionnaire (2006) (α = 0.88)—were used as research instruments. For data analysis, descriptive statistics included frequency tables and charts, percentage frequencies, and means; inferential statistics included the Kolmogorov–Smirnov test to assess the normality of variables and correlation coefficients and structural equation modeling to test the research hypotheses, using SPSS 22 and SmartPLS software at a 95% confidence level. The results indicated a significant relationship between mindfulness and social anxiety with the mediating role of metacognitive beliefs in mothers of children with autism and intellectual disability. Additionally, there was a significant negative relationship between mindfulness and metacognitive beliefs with social anxiety in mothers of children with autism and intellectual disability, and a significant negative relationship between mindfulness and metacognitive beliefs in these mothers.
Development and Validation of an Executive Functions Package and Determination of Its Effectiveness on Communication Skills and Self-Care in Adolescents Aged 14–20 Years with Developmental Intellectual Disability
This study aimed to develop and validate a cognitive rehabilitation package targeting executive functions and to determine its effectiveness on communication skills and self-care in adolescents aged 14–20 years with developmental intellectual disability. The research employed a mixed-methods (qualitative–quantitative) design. In the qualitative phase, the executive functions cognitive rehabilitation intervention package was developed through a systematic review and concurrent meta-analysis of articles indexed in scientific databases published between 2014 and 2024, and its content was subsequently approved by experts in the field. In the quantitative phase, using a quasi-experimental method with a pretest–posttest control group design, 30 adolescents with intellectual disability enrolled in special education schools in Kashan County were selected through convenience sampling and randomly assigned to experimental and control groups (15 participants per group). The intervention program was implemented in 12 one-hour sessions. Data in the qualitative phase were collected using library and documentary methods and interviews, and in the quantitative phase using the Emotion Regulation Questionnaire by Hoffman and Kashdan (2010) and the National Adaptive Behavior Scale developed by Malekshahi, Kamkari, and Makvandi (2018). The validity of the developed package was examined using thematic analysis, and its effectiveness was analyzed using analysis of covariance (ANCOVA) in SPSS version 24. The findings indicated that the mean Content Validity Ratio (CVR) and Content Validity Index (CVI) of the developed package were 0.62 and 0.79, respectively, demonstrating adequate validity of the designed intervention. Statistical results showed significant improvements in self-care and communication skills at the posttest stage in the experimental group compared with the control group. Therefore, it can be concluded that the executive functions rehabilitation package is effective in improving self-care and communication skills in adolescents with developmental intellectual disability and can be utilized to enhance these competencies in this population.
Deep Learning–Based Detection of Anxiety and Perfectionism Patterns in High-Ability Youth
The objective of this study was to identify and classify latent patterns of anxiety and perfectionism among high-ability adolescents using a multimodal deep learning framework. This quantitative, cross-sectional study was conducted on a sample of high-ability youth aged 12 to 18 years in Germany. Participants were recruited from secondary schools and gifted education programs and completed standardized self-report measures assessing anxiety and multidimensional perfectionism through a secure digital platform. In addition to numerical questionnaire data, open-ended textual responses related to academic experiences and self-expectations were collected, along with behavioral interaction indicators such as response times. Data were analyzed using a multimodal deep learning architecture integrating feedforward neural networks for numerical features and transformer-based models for textual data. Feature fusion was performed in a shared latent space, and supervised learning was applied to classify anxiety–perfectionism profiles. Model performance was evaluated using accuracy, precision, recall, F1-score, and area under the receiver operating characteristic curve. Inferential analyses indicated that the multimodal deep learning model significantly outperformed single-modality models in detecting anxiety and perfectionism patterns. Latent profile analysis based on learned representations revealed three distinct psychological profiles: low-anxiety adaptive perfectionism, moderate mixed perfectionism, and high-anxiety maladaptive perfectionism. The high-anxiety maladaptive profile constituted the largest subgroup, and linguistic and behavioral features contributed significantly to classification accuracy beyond self-report measures alone. The findings demonstrate that multimodal deep learning approaches can effectively uncover nuanced and clinically meaningful anxiety–perfectionism profiles in high-ability youth, offering a robust foundation for early identification and targeted psychological support.
Unsupervised Clustering of Executive Function Patterns in Children with Exceptional Cognitive Abilities
The objective of this study was to identify and characterize distinct executive function profiles among children with exceptional cognitive abilities using unsupervised clustering techniques. This quantitative, cross-sectional study was conducted with a sample of school-aged children with documented exceptional cognitive abilities in South Africa. Executive functions were assessed using a multi-method battery comprising performance-based measures of working memory, inhibitory control, cognitive flexibility, planning, and sustained attention, alongside parent- and teacher-rated executive function scales. Following data screening and standardization, unsupervised clustering analyses were performed using hierarchical and partition-based algorithms to identify naturally occurring executive function patterns. Model fit and cluster validity were evaluated using internal validity indices, and cluster stability was examined through resampling procedures. Unsupervised clustering analyses supported a three-cluster solution, revealing statistically distinct executive function profiles. Multivariate comparisons indicated significant between-cluster differences across all executive function domains, with large effect sizes observed for working memory, inhibitory control, and cognitive flexibility. Cluster membership was significantly associated with classroom engagement and behavioral self-regulation indicators, while age differences across clusters were nonsignificant. The findings demonstrate substantial heterogeneity in executive functioning among children with exceptional cognitive abilities, highlighting the presence of globally advanced, selectively strong, and asynchronous executive function profiles. These results underscore the value of person-centered, data-driven approaches in understanding cognitive regulation in high-ability populations and emphasize the need for individualized assessment and educational support.
Design and Validation of a Differentiated Curriculum Model for Gifted Students Based on Multiple Intelligences
The objective of this study was to design and empirically validate a comprehensive differentiated curriculum model for gifted students grounded in the theory of Multiple Intelligences within the educational context of Tehran. This study employed a mixed-methods sequential exploratory design. In the qualitative phase, semi-structured interviews were conducted with twenty experts in gifted education, curriculum studies, and educational psychology to identify the core components of the proposed model. The resulting framework was operationalized into a researcher-developed questionnaire and administered to a sample of 350 gifted students selected through multi-stage cluster sampling from specialized schools in Tehran. Content validity was established through expert review, and construct validity was examined using confirmatory factor analysis. Structural equation modeling was conducted using AMOS to evaluate the relationships among model components and assess overall model fit. The measurement model demonstrated strong psychometric properties with satisfactory convergent and discriminant validity. Structural equation modeling revealed that alignment with Multiple Intelligences significantly predicted all dimensions of differentiated curriculum implementation, including content differentiation (β = 0.62, p < 0.001), process differentiation (β = 0.71, p < 0.001), product/performance differentiation (β = 0.58, p < 0.001), learning environment differentiation (β = 0.49, p < 0.001), and flexible assessment (β = 0.76, p < 0.001). The structural model exhibited good fit to the data (χ²/df = 2.31, CFI = 0.95, TLI = 0.94, RMSEA = 0.061, SRMR = 0.044). The validated model provides a theoretically grounded and empirically supported framework for designing differentiated curricula that effectively respond to the diverse intellectual profiles of gifted learners and offers practical guidance for curriculum reform in gifted education.
Comparison of the Effectiveness of Child-Centered Mindfulness Training and Art (Drawing) Therapy on Behavioral Problems and Cognitive Assessment in Children with Hearing Loss in the City of Bukan
The aim of the present study was to compare the effectiveness of child-centered mindfulness training and art (drawing) therapy on behavioral problems and cognitive assessment in children with hearing loss in the city of Bukan. This study was applied in nature and, in terms of data collection, employed a semi-experimental field design. The research method was a quasi-experimental pretest–posttest design with a control group and a follow-up period. The study population consisted of all male and female children with hearing loss in Bukan County. A total of 45 children were assigned to three groups: two intervention groups with 15 participants each and one control group with 15 participants. The research instruments included two educational intervention packages and two questionnaires. The child-centered mindfulness training package was based on the program developed by Bordick (2017), and the art therapy training package was based on Martin’s program (2009). In addition, the Revised Behavior Problem Checklist for Children and Adolescents (RBPC) developed by Quay and Peterson, and the Children’s Cognitive Assessment Questionnaire (CCAQ) developed by Zater and Chassin, were used in this study. Based on the findings, no statistically significant difference was observed between the effectiveness of the two interventions in reducing children’s cognitive assessment scores (p < .05). On the other hand, neither intervention had a statistically significant effect on reducing behavioral problems in children (p > .05). It can be concluded that both therapeutic approaches may be used as effective interventions for improving certain psychological and cognitive aspects of children with hearing loss; however, alternative or complementary approaches may be required to address behavioral problems.
The Effectiveness of Mindfulness on Selective Attention, Visuospatial Memory, and Academic Performance in Elementary School Students with Attention-Deficit/Hyperactivity Disorder
The present study aimed to examine the effectiveness of a mindfulness training program on selective attention, visuospatial memory, and academic performance in elementary school students diagnosed with ADHD. This study employed a quasi-experimental design with a pretest–posttest control group. A total of 30 elementary school students diagnosed with ADHD were randomly assigned to an experimental group (n = 15) and a control group (n = 15). The experimental group participated in eight 45-minute sessions of a mindfulness training program based on Mindfulness-Based Stress Reduction (MBSR) and Mindfulness-Based Cognitive Therapy (MBCT) protocols, while the control group continued with routine school activities. Selective attention was assessed using the Stroop Test, visuospatial memory was measured with the Corsi Block-Tapping Test, and academic performance was evaluated through continuous assessment scores and an Academic Performance Questionnaire. Data were analyzed using analysis of covariance (ANCOVA) while controlling for pretest effects. The findings indicated that the mindfulness intervention led to significant improvements in selective attention, visuospatial memory, and academic performance in the experimental group compared with the control group. In addition, correlations between cognitive indices and academic performance increased following the intervention, highlighting the role of cognitive mechanisms in enhancing academic achievement. Mindfulness training can serve as an effective complementary intervention alongside other treatment approaches to improve cognitive and academic functioning in students with ADHD. It is recommended that mindfulness programs be implemented in schools with the involvement of parents and teachers. Future research should incorporate follow-up periods, larger sample sizes, and neuropsychological indicators to further elucidate the mechanisms underlying these effects.
About the Journal
- E-ISSN: 3060-6713
- Director in Charge: Dr. Ali Aghaziarati
- Editor-in-chief: Dr. Salar Faramarzi
- Owner: KMAN Research Institute
- Publisher: KMAN Publication Inc. (KMANPUB)
- Contact Email: PRIEN@kmanpub.com / journalprien@gmail.com
- Open Access: YES
The Psychological Research in Individuals with Exceptional Needs (PRIEN) Journal, established in 2023, is a pioneering international academic journal dedicated to the multifaceted field of psychology and its application to individuals with exceptional needs. The journal's scope encompasses a diverse range of topics such as developmental psychology, educational psychology, cognitive and behavioral therapy, neuropsychology, special education, adaptive technology, mental health, social integration, and policy development in support of individuals with disabilities or giftedness. Its primary aim is to promote the understanding, support, and advancement of individuals with unique psychological needs, whether they are developmental, emotional, cognitive, or gifted. PRIEN Journal invites contributions in the form of high-quality original research articles, comprehensive review articles (including narrative, scoping, systematic, and integrative reviews), thought-provoking editorials, concise short communications, and insightful letters to the editor. Committed to maintaining rigorous standards, the journal employs a thorough open peer review process to ensure research integrity and transparency. Adhering to a gold open access model, PRIEN Journal guarantees unrestricted online access to its content, fostering a global exchange of knowledge and ideas in this critical field.
About the Publisher
Publisher: KMAN Publication Inc.
Publisher Office: Unit 5‑10825 Yonge St, Richmond Hill, Ontario, Canada, L4C 3E3
https://journals.kmanpub.com
Email: kmanpu@kmanpub.com
Telegram: +1 (647) 656‑4401 | WhatsApp: +1 (437) 429‑3507
Germany Office: Dratelnstrasse, Wohnung A60, 21119 Hamburg, Germany (+4915207720487)

