Chethana R Acharya

Online learning can improve access to educational materials, but it may also create additional demands for school-aged learners who experience learning disabilities. This study examined perceived academic, emotional, behavioural, and adaptation-related outcomes of online classes among students in Grades 1-10 with learning difficulties, drawing on student, parent, and teacher reports. The dissertation describes a quantitative, cross-sectional survey involving 95 participants and the use of the Learning Disabilities Checklist (LDC), Strengths and Difficulties Questionnaire (SDQ), Online Learning Readiness Scale (OLRS), and a researcher-developed questionnaire. Reported findings indicate difficulties with attention, comprehension, task completion, and motivation in online settings, alongside lower perceived academic performance than in traditional classrooms. Parent and teacher reports were associated with students? reported learning difficulties. A significant association was reported between student and teacher reports, χ2(1, N = 95) = 20.5, p < .001, φ = .465; a similar association was reported for student and parent reports, χ2(1, N = 95) = 21.0, p < .001, φ = .471. Student and parent reports of emotional wellbeing were also positively correlated, ρ = .674, p < .001. The findings suggest that online learning requires structured routines, accessible teaching materials, trained educators, and coordinated family-school support to better accommodate learners with learning disabilities. Results should be interpreted cautiously because detailed descriptive scores and an effect estimate for the academic comparison were not reported consistently in the dissertation.

Background: Online learning outcomes may relate to students? preparedness and participation, but intention to continue is distinct from verified institutional retention. This study examined the associations among online learning readiness, student engagement, and retention intention among higher-education students in Kuwait. Methods: A quantitative cross-sectional questionnaire was administered online from 1-20 September 2026. The supplied dataset included 100 complete responses recruited through personal contacts and community WhatsApp groups. Readiness (20 items), engagement (24 items), and a broad continuation-related index (19 items) were scored as mean Likert responses. Analyses included descriptive statistics, internal consistency, Pearson and Spearman correlations, and a joint regression with HC3 robust coefficient inference. Results: Mean readiness was 4.398 (SD 0.716), engagement 4.353 (SD 0.727), and the broad continuation-related score 4.258 (SD 0.762), on a five-point scale. Pairwise associations were positive: readiness-engagement, r = .890; readiness-retention intention, r = .792; and engagement-retention intention, r = .832 (all p < .001). In the joint model, engagement remained positively associated with the outcome (B = 0.643, HC3 95% CI 0.382-0.903, p < .001), while the readiness coefficient was uncertain (B = 0.262, 95% CI -0.025-0.549, p = .073). The model explained 70.6% of sample variance; this is not evidence of out-of-sample prediction. A narrower, exploratory direct-intention item subset showed a similar pattern. Conclusion: In this convenience sample, higher self-reported readiness and engagement co-occurred with stronger continuation intentions, with engagement showing the more stable adjusted association. Cross-sectional self-report data, unvalidated item sets, influential observations, and nonprobability recruitment preclude causal or population-wide conclusions. No subsequent enrollment was measured; formal ethics approval was not obtained and requires transparent institutional guidance before publication.

Cyberbullying has become an important concern for adolescent well-being because online harassment can continue beyond school settings and expose young people to repeated social stress. This study examined the relationships between cyberbullying exposure, emotion-regulation strategies, and mental health among adolescents. A quantitative, cross-sectional correlational design was used with 100 secondary-school adolescents aged 13-18 years (M = 15.42, SD = 1.38). Measures included the Cyber-Victimization Scale (CYBVICS), Emotion Regulation Questionnaire (ERQ), and Early Adolescent Mental Health Scale (EAMHS). Descriptive statistics, Pearson product-moment correlations, and simple linear regression analyses were reported. Cyberbullying exposure was negatively correlated with cognitive reappraisal (r = -.42, p < .001) and mental health (r = -.58, p < .001), and positively correlated with expressive suppression (r = .48, p < .001). Cognitive reappraisal was positively associated with mental health (r = .51, p < .001), whereas expressive suppression was negatively associated with mental health (r = -.46, p < .001). Regression analysis indicated that cyberbullying exposure accounted for 33.6% of the variance in mental-health scores, R? = .336, F(1, 98) = 49.68, p < .001. The findings indicate meaningful associations among online victimization, emotion regulation, and adolescent well-being. Because the study is cross-sectional and relies on self-report measures, the findings do not establish causality.