Language and reading impairments are associated with increased prevalence of non-right-handedness

Handedness has been studied for association with language-related disorders because of its link with language hemispheric dominance. No clear pattern has emerged, possibly because of small samples, publication bias, and heterogeneous criteria across studies. Non-right-handedness (NRH) frequency was assessed in N = 2503 cases with reading and/or language impairment and N = 4316 sex-matched controls identified from 10 distinct cohorts (age range 6–19 years old; European ethnicity) using a priori set criteria. A meta-analysis (N_cases = 1994) showed elevated NRH % in individuals with language/reading impairment compared with controls (OR = 1.21, CI = 1.06–1.39, p = .01). The association between reading/language impairments and NRH could result from shared pathways underlying brain lateralization, handedness, and cognitive functions.     

Changes in children’s anger,sadness, and persistence across blocked goals: Implications for self-regulation

The current study took a person-centered approach to examine the heterogeneity of changes in children’s emotions and persistence during a goal-blocking task and examined how different profiles of emotions and persistence related to children’s self-regulation. Children’s anger, sadness, and persistence were rated in a goal-blocking task in toddlerhood (T1; N = 140, 72 boys, M_age = 2.67 years, 90.7% White) and preschool (T2). Children’s self-regulation, specifically sustained attention and engagement, was assessed at T1, T2, and early school-age (T3) from 2005 to 2012. Growth mixture modeling revealed two classes of children at T1 and three classes at T2 with different patterns of anger, sadness, and persistence. Children’s classification at T2, but not T1, significantly predicted their sustained attention and engagement both concurrently and longitudinally.     

Generic qualitative dissertations in counselor education: A content analysis

We conducted a content analysis of generic qualitative counseling dissertations (GQR; N = 70), examining their methodological justifications, coherence, and trustworthiness. Dissertations authors often presented vague methodological justifications. Findings have implications for constructing methodological justifications, integrating relevant literature, and awareness of how GQR compares to other qualitative methodologies.     

School counselor educators: A grounded theory of career interest and satisfaction

Annually, there are school counseling specific counselor educator positions that remain unfilled. There is a need for more counselor educators with school counseling backgrounds. This grounded theory provides a model of the process by which school counselor educators decide to enter academia and what keeps them in their positions, based on focus groups with 32 participants. Results showed the reasons for leaving school counseling, what factors promote entry into school counselor education, and what keeps school counselor educators in that role. Implications for counselor education are provided.     

Supporting practitioners in school-based evaluations of autism spectrum disorders

Students with autism spectrum disorder (ASD) have vastly different educational needs. Although some students with ASD may perform well across subjects within the general education classroom, other students with ASD may need more individualized support outside of the classroom. Historically, ASD assessments in schools have primarily focused on the measurement of cornerstone behaviors of ASD such as deficits in social communication and restricted or repetitive behaviors while underestimating the focus of academic skills even though both factors are required in the evaluation process and for an eligibility classification. The purpose of this article is to provide an overview of academic assessment practices in the schools by highlighting best practices in ASD evaluation, outlining ASD academic profiles and how to identify academic skill deficits, and reviewing the available literature that comes from different formal- and function-based assessment practices that are commonly used in schools today. The authors also discuss how formal- and function-based assessments both serve a purpose and are recommended to be used in conjunction with one another to best demonstrate a student's academic profile. Practitioners are ultimately encouraged to use a multi-informant, multi-modal approach when it comes to psychoeducational evaluations for individuals with ASD as it is evident that an individualized approach is essential due to the discrepancy of academic profiles related to this disability category as well as understanding that no measure is a perfect representation of any one skill.     

How students reason about matter flows and accumulations in complex biological phenomena: An emerging learning progression for mass balance

In recent years, there has been a strong push to transform STEM education at K-12 and collegiate levels to help students learn to think like scientists. One aspect of this transformation involves redesigning instruction and curricula around fundamental scientific ideas that serve as conceptual scaffolds students can use to build cohesive knowledge structures. In this study, we investigated how students use mass balance reasoning as a conceptual scaffold to gain a deeper understanding of how matter moves through biological systems. Our aim was to lay the groundwork for a mass balance learning progression in physiology. We drew on a general models framework from biology and a covariational reasoning framework from math education to interpret students' mass balance ideas. We used a constant comparative method to identify students' reasoning patterns from 73 interviews conducted with undergraduate biology students. We helped validate the reasoning patterns identified with >8000 written responses collected from students at multiple institutions. From our analyses, we identified two related progress variables that describe key elements of students' performances: the first describes how students identify and use matter flows in biology phenomena; the second characterizes how students use net rate-of-change to predict how matter accumulates in, or disperses from, a compartment. We also present a case study of how we used our emerging mass balance learning progression to inform instructional practices to support students' mass balance reasoning. Our progress variables describe one way students engage in three dimensional learning by showing how student performances associated with the practice of mathematical thinking reveal their understanding of the core concept of matter flows as governed by the crosscutting concept of matter conservation. Though our work is situated in physiology, it extends previous work in climate change education and is applicable to other scientific fields, such as physics, engineering, and geochemistry.     

Learning statistics with interactive pictures using R Shiny: Generally preferred,but not generally advantageous

Constructing interactive web apps has become more accessible for instructors, for example, by using the R package Shiny. Here we explored learners' preferences and the efficiency of interactive simulations versus static pictures in acquiring statistics knowledge of Cohen's d and standard normal distribution. Results revealed that students' spontaneous interaction with pictures was infrequent (pilot study, N = 26). While prompts (Exp. 1, N = 152) effectively ensured the manipulation of simulations, student exposure to interactive simulations led to longer learning times though similar test performance compared with student exposure to static pictures. Multiple interactive representations led to lower test performance than single interactive and static representations (Exp. 2, N = 117). Though no advantage was gained regarding learning outcomes, participants preferred the interactive variant (Exp. 3, N = 119). Taken together, this study demonstrates that the superiority of interactive pictures cannot be assumed to hold in general. Further work should evaluate how mental model construction can be effectively scaffolded by interactive simulations.     

Investigating science teacher educator identity through the politics of domestication and critical positional praxis

The focus on identity in the field of teaching and learning continues to grow, especially when it concerns equitable outcomes for students. While most attention is placed on students' identities and increasingly those of teachers, lesser addressed are the identities of the teacher educators and researchers broaching the issue of identity. Additionally, identity research is not often linked to relationships between self, others, and transformative action. We recognize these as gaps to be addressed and offer critical positional praxis (CPP) as a response. CPP is the public manifestation of the insights gained through our sense of identity and reflexivity. More specifically, CPP is the actions (or inactions) that express who we are in response to an event in any given social context—especially oppressive ones. In this article, we draw from our own critical autoethnographies, as a context for putting CPP into practice in identity research. Our collective analysis of these critical autoethnographies revealed how our identity development was inseparable from the ways in which we have each resisted the politics of domestication. Our autoethnographies further point to the role of dissent as central to our experiences of becoming critical science teacher educators committed to equity, diversity, and anti-racism in education. We draw from this analysis to offer recommendations for how identity and positionality can move beyond theoretical constructs toward transformative personal and collective change in science education.     

Global exact tracking for uncertain MIMO linear systems by output feedback sliding mode control

This paper presents a solution to the problem of global exact output tracking for uncertain MIMO (multiple-input–multiple-output) linear plants with non-uniform arbitrary relative degree using output feedback sliding mode control. The key idea to overcome the relative degree obstacle is to generalize our previous hybrid estimation scheme to a multivariable version by combining, through switching, a standard linear lead filter with a non-linear one based on robust exact differentiators, achieving uniform global exponential practical stability and exact tracking.