Carol McDonald Connor (1953-2020).

Memorializes Carol McDonald Connor (1953-2020). Connor's research focused on understanding child-by-instruction interactions in the classroom. She began this work with a series of observational studies documenting that children's responses to different types of reading instruction varied markedly depending on their language, self-regulation, and reading skills. She then used her observational results to "reverse engineer" recommendations for the amounts and types of literacy instruction most likely to benefit children with different skill profiles. Her first faculty position, in 2004, was in the College of Education at Florida State University and the Florida Center for Reading Research. In 2012 she joined the Department of Psychology and the Learning Sciences Institute at Arizona State University, and then moved to the University of California, Irvine, as a Chancellor's Professor in the School of Education in 2016. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Video-Based Training in Recognizing Exemplars of Autism Spectrum Disorder Diagnostic Criteria.

Autism Spectrum Disorder (ASD) is an increasingly common neurodevelopmental disorder with long-term and pervasive effects. Despite the benefits of early diagnosis, research suggests that training in recognizing the behavioral markers of ASD and the fundamentals of ASD diagnosis are not routinely provided to prospective child clinicians. As a means to train students in recognizing exemplars of behavior consistent with ASD diagnostic criteria, we created a video library of brief clips of children and adults with and without ASD who varied on multiple dimensions (e.g., sex, ethnicity, language skills, developmental level). Using clips from the library, we developed a brief training program to instruct students on diagnostic criteria for ASD and how to recognize examples of these behaviors in children. A randomized experimental trial compared the impact of the video-based training program delivered via the Internet to conventional graduate-level textbook training. Although both textbook and video-based training groups improved in their identification of ASD behaviors, the video-based training group significantly outperformed the textbook-based training group at posttest. The creation of a video library that can be incorporated into remote access training is a promising means of allowing students to view a range of presentations of a disorder even when direct access to a diverse set of clients may be difficult.

The Interaction of Learning Disability Status and Student Demographic Characteristics on Mathematics Growth.

This study examined mathematics achievement growth of students without disabilities (SWoD) and students with learning disabilities (LD) and tested whether growth and LD status interacted with student demographic characteristics. Growth was estimated in a statewide sample of 79,554 students over Grades 3 to 7. The LD group was significantly lower in achievement in each grade and had less growth than the SWoD group. We also found that student demographic characteristics were significantly related to mathematics growth, but only three demographic characteristics were statistically significant as interactions. We found that LD-SWoD differences at Grade 3 were moderated by student sex, while Black race/ethnicity and free or reduced lunch (FRL) status moderated LD-SWoD differences at all grades. These results provide practitioners and policy makers with more specific information about which particular LD students show faster or slower growth in mathematics. Our results show that simply including predictors in a regression equation may produce different results than direct testing of interactions and achievement gaps may be larger for some LD subgroups of students than previously reported.

Growth and gaps in mathematics achievement of students with and without disabilities on a statewide achievement test.

This study estimated mathematics achievement growth trajectories in a statewide sample of 92,045 students with and without disabilities over Grades 3 to 7. Students with disabilities (SWDs) were identified in seven exceptionality categories. Students without disabilities (SWoDs) were categorized as General Education (GE) or Academically/Intellectually Gifted (AIG). Students in all groups showed significant growth that decelerated over grades as well as significant variability in achievement by student group, both at the initial assessment in Grade 3 and in rates of growth over time. Race/ethnicity, gender, parental education, free/reduced lunch status, and English language proficiency were also significant predictors of achievement. Effect size estimates showed substantial year-to-year growth that decreased over grades. Sizeable achievement gaps that were relatively stable over grades were observed between SWoDs and students in specific exceptionality categories. Our study also demonstrated the importance of statistically controlling for variation related to student demographic characteristics. Additional research is needed that expands on these results with the same and additional exceptionality groups.