Purpose/objective: Despite legal mandates to provide appropriate accommodations for students with disabilities in the U.S., many report gaps between what they need and receive. This study examined the role of disability level, visibility, and demographic factors in predicting unmet academic accommodation needs and attitudes toward requesting accommodations. Research method/design: A sample of 409 adults who had had disabilities during their school years and who still had them completed an online survey assessing their current disability level, current disability visibility (invisible, semi-visible, or visible), unmet academic accommodation needs across all levels of schooling in aggregate, and current attitudes toward requesting academic accommodations. Results: Individuals with invisible disabilities in comparison to those with semi-visible or visible disabilities reported unmet needs for having a quiet or sensory room, extended time to take tests and exams, sensory objects (e.g., fidget toys), and an Individualized Education Plan. However, those with visible and semi-visible disabilities reported unmet need for having an educational assistant or tutor, recording equipment or a portable notetaking device, a modified or adapted course curriculum, and a computer, laptop or tablet with specialized software or apps. After controlling for disability severity and demographic variables, individuals with more visible disabilities had lower unmet academic accommodation needs compared to those with an invisible disability, as well as more positive attitudes toward requesting accommodations. Conclusion/implications: Assisting students with disabilities—especially those with invisible disabilities—may enhance disabled students’ experience of academic accommodations and empower them to advocate when those needs are unmet.

Purpose: This study explored the potential long-term effects of academic-related variables, including academic satisfaction, college degree attainment, unmet academic accommodation needs, and demographic characteristics on the job and career satisfaction of adults with disabilities using modern machine learning techniques. Method: Participants (n = 409) completed an online survey assessing these constructs. All had a disability or chronic health condition, had attended school in the U.S. throughout their K-12 education, and were between 19 and 86 years of age. Results: The random forest models had 68.6% accuracy in correctly identifying job satisfaction and 72.5% accuracy in correctly identifying career satisfaction. When using mean decrease in impurity (MDI) and permutation importance to identify statistical predictors, academic satisfaction was the most important predictor of job satisfaction in both MDI and permutation importance, while unmet academic accommodations was the fourth highest predictor for MDI behind academic satisfaction, disability level, and age, but ahead of other demographic variables and college degree status, and the second highest predictor of job satisfaction in permutation importance. For career satisfaction, academic satisfaction accounted for the highest MDI, while unmet academic accommodations ranked fourth. For permutation importance, academic satisfaction ranked first, and unmet academic accommodations ranked fifth behind academic satisfaction, age, college degree status, and disability level. Discussion: Meeting the academic accommodation needs of disabled students is linked with lasting vocational success. This study underscores the associations between unmet academic accommodation needs and future job and career satisfaction, illuminated using novel machine learning techniques. To our knowledge, this is the first investigation of the potential long-term associations between unfulfilled accommodation needs and future job and career satisfaction.

The COVID-19 pandemic severely affected teaching and student outcomes throughout the world, yet the long-term impacts of the pandemic on teachers and students in Latin America and Spain remain largely underexamined. This study examined the experiences of 5416 teachers from 20 Spanish-speaking countries during and after the pandemic, with an emphasis on teachers’ health, teaching experiences, and school-based support; perceptions of their students’ experiences and struggles; and relationships with students, families, and colleagues. The study used an online survey design with recruitment primarily based on snowball sampling, with most variables being collected using Likert-style responses. Descriptive statistics as well as bivariate correlations between variables were calculated. The results suggested that teachers were mostly healthy and reported moderate fear of COVID-19, though there was much variability. While, on average, teachers did not believe the pandemic had had a negative impact on their relationships with parents, colleagues, and students, they believed that the pandemic had a meaningful negative impact on their students by increasing problems in five key domains: educational, behavioral, social, emotional, and familial. Teachers had received very little training regarding online teaching, although they were moderately satisfied with the resources they had received to teach online and the safety measures their schools had implemented. Schools should provide additional support to teachers, students, and families during times of prolonged stress such as pandemics to help mitigate their lasting effects on students’ academic and psychosocial functioning.