Priming urban learners' attitudes toward the relevancy of science: A mixed-methods study testing the importance of context

The development of three-dimensional learning among all K-12 student demographics remains a prominent goal for the field of science education. However, substantial research in science teacher education for urban populations showcases hurdles to overcome in order to achieve this goal, particularly for elementary teachers. Research shows that urban elementary teachers are often ill-prepared to develop a type of science pedagogy responsive to students' learning needs. The fidelity of such pedagogies that these teachers adhere to when trying to implement such a requested content–relationality between these populations and how their local contexts can be used as sites to learn science in relevant ways are often not fully realized, as well. Given that science achievement gaps exhibit racial disparities starting in primary grades and attitudes toward science have been shown to affect academic achievement and motivation, we argue that one way to ameliorate, in at least an incremental way, this disparity is to design novel learning experiences to prime students to see the relevancy of science in their local contexts before such three-dimensional designed learning is set to occur. In this research, we leveraged the immersive nature of Virtual Reality 360 videos and present a design-based research iteration testing how this novel technologically enhanced learning experience may have influenced close to 400 urban elementary students' attitudes toward science around those attitudes labeled as “behavioral beliefs” by the field. Using a concurrent, convergent mixed-methods design with a two-way multivariate analysis of covariance quantitative data set triangulated with students' qualitative self-reports that were transformed into quantitative preponderances in graphic form, the data support that our design iteration emphasizing the importance of context as a design focus can prime students who struggle to see science as relevant to change their attitudes. Implications are discussed around relationality, novel technological affordances, and the use of local contexts as learning resources.     

Dynamic Transition Patterns in Acculturation Among Hispanic Adolescents

Acculturation consists of multiple domains (i.e., cultural practices, identifications, and values). However, less is known about how acculturation processes influence each other across multiple domains of acculturation. This study was designed to investigate transition patterns of acculturative processes within and across domains in a sample of 302 recent-immigrant Hispanic adolescents, M_age (SD) = 14.51 years (0.88) at baseline; male = 53%). Adolescents were assessed six times over a 3-year period. Latent profile analyses identified two profiles (high [or increasing] vs. low) for each domain at each timepoint. We found largely stable transition patterns in each domain over six timepoints. Importantly, sequential associations among profiles in acculturation domains were also detected. Implication for acculturation theory and research are discussed.     

The Developmental Sequence and Relations Between Gesture and Spoken Language in Toddlers With Autism Spectrum Disorder

In typical development, gestures precede and predict language development. This study examines the developmental sequence of expressive communication and relations between specific gestural and language milestones in toddlers with autism spectrum disorder (ASD), who demonstrate marked difficulty with gesture production and language. Communication skills across five stages (gestures, word approximations, first words, gesture-word combinations, and two-word combinations) were assessed monthly by blind raters for toddlers with ASD participating in an randomized control trial of parent-mediated treatment (N = 42, 12–30 months). Findings revealed that toddlers acquired skills following a reliable (vs. idiosyncratic) sequence and the majority of toddlers combined gestures with words before combining words in speech, but in contrast to the pattern observed in typical development, a significant subset acquired pointing after first words.     

Value Profiles During Middle Childhood: Developmental Processes and Social Behavior

Little is known about how children's value priorities develop over time. This study identifies children's value priority profiles and follows their development during middle childhood. Australian children (N = 609; ages 5–12 at Time 1) reported their values over 2 years. Latent Transition Analysis indicated four profiles: Social-Focus, Self-Focus, Growth-Focus and Undifferentiated. Within person development was characterized by profile stability or transfer to the Social-Focus profile. Younger children were more likely to have an Undifferentiated profile (or Self-Focus among boys) than older ones. Girls were more likely to have a Social-Focus profile or transfer to it, and less likely to have a Self- or Growth-Focus profile than boys. Social-Focus profile membership over time predicted more prosocial and less aggressive behavior.     

Impacts of an Early Childhood Mathematics and Science Intervention on Teaching Practices and Child Outcomes

abstract

This randomized controlled trial examined effects of the MyTeachingPartner-Math/Science intervention on the quality and quantity of teachers’ mathematics and science instruction, and children’s mathematics and science outcomes in 140 pre-kindergarten classrooms. Teachers participated in the intervention for two years with consecutive cohorts of children. Results from Year 1 are considered experimental, however due to high levels of attrition, results from Year 2 are considered quasi-experimental. Across both years, intervention teachers exhibited higher quality and quantity of instruction. In Year 1, there were no significant effects of the intervention on children’s outcomes. In Year 2, children in intervention classrooms made greater gains in teachers’ ratings of mathematics and science skills and performed better on a spring assessment of science skills. These results have implications for designing and evaluating professional development aimed at supporting children’s mathematics and science knowledge and skills.     

Neuropsychological Assessment of First‐Year Architecture Students’ Visuospatial Abilities: Overview

First‐year architecture students are expected to utilise visuospatial abilities to generate/construct, retain, rotate and manipulate space mentally and physically through physical and digital representations. This study of 57 female and 23 male participants was conducted to investigate first‐year architecture students’ visuospatial abilities by means of the Beck Depression Inventory, Logical Reasoning Test and Judgment of Line Orientation (JLO) test. Participants’ sexes, cognitive development level, depression scale scores, university entrance exam results, vision disorders, physical competences, art training prior to university and error types were the study’s main parameters. The results showed that academic scores of the participants both to enrol in the program and complete the first‐year studio did not correlate with their JLO scores. Nondepressed participants performed better in JLO. Error analyses demonstrated that there is a concentration on certain items according to the test stimulus line positions, especially in females. Those who reported limited physical and visual competency made more mistakes in the same items. The study concludes that sex, depression, and individual differences in physical and visual competency, and art training, are significant variables for visuospatial performance. Judging visuospatial parameters through spatial design exercises is different from having proper methods and instruments to assess the achievements of the students regarding those abilities in architectural design education. It is important to map students’ visuospatial abilities individually from a developmental perspective. There is a strong need to develop 4D psychometric instrument to assess visuospatial abilities.     

Learning From Video: A Meta-Analysis of the Video Deficit in Children Ages 0 to 6 Years

Young children often learn less from video than face-to-face presentations. Meta-regression models were used to examine the average size of this difference (video deficit) and investigate moderators. An average deficit of about half of a standard deviation was reported across 122 independent effect sizes from 59 reports, involving children ages 0–6 years. Moderator analyses suggested (a) the deficit decreased with age, (b) object retrieval studies showed larger deficits than other domains, and (c) there was no difference between studies using live versus prerecorded video. Results are consistent with a multiple-mechanism explanation for the deficit. However, the analyses highlighted potential quality and publication bias issues that may have resulted in overestimation of the effect and should be addressed by future researchers.     

Parameter Estimation Accuracy of the Effort-Moderated Item Response Theory Model Under Multiple Assumption Violations

As low-stakes testing contexts increase, low test-taking effort may serve as a serious validity threat. One common solution to this problem is to identify noneffortful responses and treat them as missing during parameter estimation via the effort-moderated item response theory (EM-IRT) model. Although this model has been shown to outperform traditional IRT models (e.g., two-parameter logistic [2PL]) in parameter estimation under simulated conditions, prior research has failed to examine its performance under violations to the model’s assumptions. Therefore, the objective of this simulation study was to examine item and mean ability parameter recovery when violating the assumptions that noneffortful responding occurs randomly (Assumption 1) and is unrelated to the underlying ability of examinees (Assumption 2). Results demonstrated that, across conditions, the EM-IRT model provided robust item parameter estimates to violations of Assumption 1. However, bias values greater than 0.20 SDs were observed for the EM-IRT model when violating Assumption 2; nonetheless, these values were still lower than the 2PL model. In terms of mean ability estimates, model results indicated equal performance between the EM-IRT and 2PL models across conditions. Across both models, mean ability estimates were found to be biased by more than 0.25 SDs when violating Assumption 2. However, our accompanying empirical study suggested that this biasing occurred under extreme conditions that may not be present in some operational settings. Overall, these results suggest that the EM-IRT model provides superior item and equal mean ability parameter estimates in the presence of model violations under realistic conditions when compared with the 2PL model.