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This study aimed to examine the relationships between sleep quality, body image dissatisfaction, and impulsiveness in adolescent girls with mild physical disabilities. This cross-sectional study included 186 adolescent girls with mild physical disabilities. Participants were recruited from rehabilitation centers and special schools. Impulsiveness was measured using the Barratt Impulsiveness Scale (BIS-11), sleep quality was assessed with the Pittsburgh Sleep Quality Index (PSQI), and body image dissatisfaction was evaluated using the Body Shape Questionnaire (BSQ). Pearson correlation coefficients were calculated to examine the relationships between the variables. A linear regression analysis was performed to determine the predictive value of sleep quality and body image dissatisfaction on impulsiveness, using SPSS version 27. The mean score for impulsiveness was 55.28 (SD = 10.45), sleep quality was 12.67 (SD = 3.98), and body image dissatisfaction was 87.34 (SD = 15.29). Pearson correlation analysis showed significant positive correlations between impulsiveness and sleep quality (r = 0.45, p < .001), and between impulsiveness and body image dissatisfaction (r = 0.52, p < .001). The regression model indicated that both sleep quality (B = 0.92, p < .001) and body image dissatisfaction (B = 0.25, p < .001) significantly predicted impulsiveness, explaining 37% of the variance (R² = 0.37, F(2, 183) = 53.68, p < .001). Poor sleep quality and high body image dissatisfaction are significant predictors of impulsiveness in adolescent girls with mild physical disabilities. Interventions aimed at improving sleep quality and promoting positive body image may help reduce impulsiveness and enhance overall well-being in this population.

The primary objective of this study was to evaluate the effectiveness of Reality Therapy in improving temperament and sleep quality among adolescents with learning disorders. This randomized controlled trial included 30 adolescents, aged 12 to 18, diagnosed with learning disorders. Participants were randomly assigned to either the intervention group (15 participants) or the control group (15 participants). The intervention group underwent twelve 60-minute sessions of Reality Therapy over a two-month period, while the control group received no therapeutic intervention. Temperament and sleep quality were assessed using the Revised Dimensions of Temperament Survey (DOTS-R) and the Pittsburgh Sleep Quality Index (PSQI), respectively, at three time points: pre-intervention, post-intervention, and two-month follow-up. Data were analyzed using analysis of variance (ANOVA) with repeated measurements and the Bonferroni post-hoc test, with SPSS-27 software. The results indicated significant improvements in both temperament and sleep quality in the intervention group compared to the control group. These improvements were sustained at the two-month follow-up. Specifically, the intervention group showed marked improvements in emotional regulation and sleep patterns, highlighting the efficacy of Reality Therapy in addressing these critical aspects of adolescent health. Assumptions for ANOVA were confirmed, ensuring the robustness of the findings. Reality Therapy significantly improves temperament and sleep quality in adolescents with learning disorders, with effects lasting beyond the intervention period. This study supports the use of Reality Therapy as a viable intervention for improving emotional and sleep-related outcomes in this population. Further research with larger sample sizes and extended follow-up periods is recommended to confirm these findings and explore additional benefits.

Lifelong learning is a critical aspect of personal and professional development, and its importance is magnified for adults with special needs. Ensuring that these individuals have access to inclusive and supportive educational opportunities is essential for their empowerment and integration into society. This letter aims to highlight the significance of promoting lifelong learning for adults with special needs and discusses various strategies and programs that have proven effective in enhancing their educational experiences and overall quality of life. Promoting lifelong learning for adults with special needs is a multifaceted endeavor that requires the collaboration of educators, policymakers, community organizations, and the learners themselves. By adopting inclusive policies, leveraging technological advancements, and fostering community support, we can create an educational environment that empowers individuals with special needs to achieve their full potential. The success of programs like Enabled Baristas and the implementation of resource classrooms demonstrate the transformative impact of inclusive education and underscore the importance of continued efforts to support lifelong learning for all.

Internationalization and globalization have gained popularity during the past 20 years in a variety of educational settings. English-Medium Instruction (EMI) has been one of the primary strategies for addressing these developments. Iraqi secondary schools appear to be falling behind in the face of these worldwide trends. Secondary schools are using Arabic as their practically universal language of teaching. Still, only a few numbers of studies have investigated the possible use of EMI and instructors' perspectives regarding its usage. This study adopted a mixed-methods approach to examine the current state of EMI in the Iraqi setting, providing more insight into the rising application of EMI. To learn more about the attitudes of 150 teachers concerning EMI, pertinent questionnaires and semi-structured interviews were used to gather the required data. The quantitative results demonstrated that educators' opinions of EMI were overwhelmingly favorable. Most instructors supported both bilingual education and EMI, despite being aware of the detrimental effects of EMI on common official languages and the opposition to its implementation. The participants' views about and preferences for EMI were significantly influenced by their educational background, English ability, and their academic degree. The qualitative analysis's findings showed that although EMI classes provided participants with many benefits, they also faced significant difficulties, the primary reason of which was their poor English ability. The findings also indicated that most of participants blamed administrators for the difficulties in the EMI courses..

The present study was done with the aim of presenting student retention pattern in e-learning environment of Payame Noor University. This research was carried out using an exploratory (qualitative-quantitative) method. In the qualitative section, the Meta-Synthesis Research method was used to infer the pattern. Using qualitative method, the literature investigation and survey of experts through Delphi method were developed to a set of the dimensions and components affecting the electronics student retention. And the primary pattern was designed with 5 dimensions and 14 components. Then, in a quantitative section, a survey research method was used to validate the pattern and confirm it, and a questionnaire was used for collecting required data. The results of data collection after adjustment and tabling were analyzed by statistical tests (exploratory and confirmatory factor analysis(. To confirm the content validity of the research tool the researcher used the experts and also to determine the validity of the tool measurement construct, she/he used confirmatory factor analysis. All of the questions’ variables were fitted with factor load. The reliability of the tool was confirmed by the Cronbach's alpha coefficient. According to research findings, the components and final dimensions of student retention pattern in the e-learning environment were identified and classified in 5 dimensions including learner, quality of educational services, teacher, environment, technology, and 14 components including psychological characteristics, previous experiences, academic background, computer management skills, interaction, course design, organizational support, teacher's knowledge, teacher's skills, teacher's attitude, supportive environment, job commitment, quality of technology and Internet quality.

Tasks are as useful devices for identifying learners’ needs and thus for designing specific purpose courses. Hence, the present study aimed at examining the viable effects of three varieties of task manipulation, i.e., oral reproduction, role-play, and group discussion, on the accuracy and fluency components of Iranian EFL learners’ oral speech. For the sake of homogeneity of the participants, 60 L1 Persian EFL students were selected through Oxford Placement Test (OPT) and divided into three 20-participant comparison groups: Oral Reproduction Group (ORG), Role-play Group (RPG), and Group Discussion Group (GDG). Each of the three comparison groups was treated just through a single task. ORG, RPG, and GDG were treated by oral reproduction, role-play, and group discussion tasks, respectively. The participants were pretested and posttested by the speaking part of Preliminary English Test (PET). The three groups were exposed to ten sessions of treatment, each of which lasted one hour and thirty minutes. The results of the study, obtained through ANOVA and Post Hoc analyses, revealed that the three types of task manipulation had significant influence on the fluency and accuracy of the participants’ speech. It was also revealed that GDG, treated through group discussion type of task manipulation, outperformed the other groups in terms of accuracy and fluency achievement. Tasks are hence recommended to be used in EFL teaching and testing contexts in that they are assumed to be effective tools to enhance the accuracy and fluency of English learners’ oral speech.

This study scrutinized the probable significant relationships among Iranian EFL learners’ academic self-efficacy, metacognitive reading strategies, and reading comprehension test performance. Relevantly, the significant predicting roles of the learners’ metacognitive reading strategies as well as academic self-efficacy for reading achievement were statistically investigated, increasing the depth of the study. Furthermore, the probable significant differences between the learners’ academic self-efficacy as well as the utilization of metacognitive reading strategies were investigated across three reading proficiency levels. To this end, 100 BA students, majoring in English Language Teaching at Islamic Azad University-Neyshabur Branch-Iran participated. Three standard instruments were employed, including academic self-efficacy and metacognitive reading strategies questionnaires along with the reading comprehension section of a TOEFL test. The study followed a quantitative correlational design. Since the normality of data was proved, the parametric statistical analyses, including descriptive statistics, Pearson's correlation coefficients, multiple regression analyses, and one-way analysis of variance were employed. The findings demonstrated significant positive relationships among the learners’ reading achievement, academic self-efficacy, and utilization of metacognitive reading strategies. In addition, it was found that metacognitive reading strategies can better predict reading comprehension than the learners’ academic self-efficacy. Academic self-efficacy was also proved as a significant predictor of the learners’ utilization of overall metacognitive reading strategies. No significant differences were proved between three proficiency levels in the utilization of metacognitive reading strategies as well as academic self-efficacy. The findings have some insightful pedagogical implications as well as some useful hints for language teachers and syllabus designers.

Given the transformative potential of technology-enhanced methods in language education, this study investigated the effect of AI-scaffolded learning-oriented assessment (LOA) on Iranian EFL learners' vocabulary acquisition. A quasi-experimental design was employed, with 40 male intermediate-level learners non-randomly assigned to an experimental group (AI-supported Nearpod platform with adaptive scaffolding) and a control group. The Oxford Placement Test ensured homogeneity, while the Vocabulary Knowledge Scale measured vocabulary gains. The experimental group received AI-driven scaffolding, including real-time adaptive feedback, tiered support, and interactive peer-review tasks aligned with LOA principles. Statistical analysis revealed a significant difference in post-VKS scores (M = 130.05) for the experimental group compared to the control group (M = 99.85), with a large effect size (t = 39.38, p < .001, d = 1.96). These results demonstrate that AI-scaffolding, when integrated with LOA, substantially enhances vocabulary learning by personalizing feedback and promoting active engagement. The study highlights the efficacy of AI tools like Nearpod in EFL contexts while underscoring the importance of pedagogical design, such as balancing automation with teacher guidance, to maximize learning outcomes. These findings advocate for the strategic adoption of AI-scaffolded LOA in language curricula, though challenges like digital literacy and equitable access warrant further exploration.