A Case Study of the Impact of Musical Pattern Rehearsal on the Acquisition of Oral and Written Language Skills in a Young Child with Learning Differences

The study explores the relationship between learning musical patterns and learning language patterns. A case study of a male diagnosed with learning differences in generative writing and graphic processing indicates a positive relationship between the neurological patterning of rehearsed musical patterns and the acquisition of oral and written language skills. The anecdotal study tracks the development of literacy from the initial identification of dysfunctional patterns of performance at age three through the acquisition of oral language and the mastery of basic reading skills in the primary years. Analysis of the case study supports the need for musical training in the preschool setting as a foundational component of early literacy programs

Portrait of early science education in majority dual language learner classrooms: Where do we start?

Despite the growing interest in early science education, there is much left to be explored, particularly in majority Dual Language Learning (DLL) classrooms. The current study examined 1) early science opportunities across classroom contexts in majority Spanish-English DLL Head Start classrooms, 2) the languages (i.e., English and Spanish) that teachers used to engage DLL children in science, 3) and how teachers’ discussion of scientific and engineering practices and disciplinary core ideas related to children’s academic outcomes. In a sample of 411 children (ages 3-5) from 34 Head Start classrooms, the current study found that teachers discussed and encouraged more practices during science lessons than circle time, dramatic play, and story time. There were no differences in teachers’ discussion of core ideas across contexts. Teachers used the same amount of English and Spanish to discuss practices and core ideas. Teaching physical science was associated with children’s science outcomes. Making observations and discussing life science were associated with children’s math outcomes. Teaching math, making observations, and developing and using models were related to children’s executive functioning. Findings from this study demonstrate that science opportunities occur across preschool classroom settings. Additionally, it provides evidence that teachers may be supporting DLL children’s home language while discussing science. Finally, results indicate that teaching science supports children’s academic performance in several outcomes. These findings have implications for DLL education policy as science may be a domain where teachers can support children’s home language and their learning across multiple domains

The cognitive effects of computational thinking: A systematic review and meta-analytic study

In this paper, we review and meta-analyze the findings of experimental studies published between 2006 and 2022 that examined the effects of coding and programming interventions on children's core and higher order executive functions (response inhibition, working memory, cognitive flexibility, planning and problem solving). The systematic review and meta-analysis aimed to address three research questions: 1) Which executive functions are most impacted by the teaching of CT? 2) Which instructional modality (educational robotics/virtual coding/unplugged coding) is most effective in enhancing executive function skills in learners aged 4–16 years? and 3) Does the cognitive effectiveness of coding vary with children's age? A total of 19 studies with 1523 participants met the selection criteria for the systematic review. The meta-analysis included 11 of those studies. The results reveal beneficial effects of structured virtual and tangible coding (educational robotics) activities for preschoolers and first graders, and significant effects of more unstructured virtual coding activities (e.g., Scratch-based) for older students. A multivariate fixed-effects model meta-analysis shows that the teaching of coding significantly improves problem-solving with the highest effect (dppc2 = 0.89), but also planning (dppc2 = 0.36), and inhibition and working memory with lower effects (dppc2 = 0.17, dppc2 = 0.20)

The unity and diversity of executive functions: A systematic review and re-analysis of latent variable studies.

Confirmatory factor analysis (CFA) has been frequently applied to executive function measurement since first used to identify a three-factor model of inhibition, updating, and shifting; however, subsequent CFAs have supported inconsistent models across the life span, ranging from unidimensional to nested-factor models (i.e., bifactor without inhibition). This systematic review summarized CFAs on performance-based tests of executive functions and reanalyzed summary data to identify best-fitting models. Eligible CFAs involved 46 samples (N = 9,756). The most frequently accepted models varied by age (i.e., preschool = one/two-factor; school-age = three-factor; adolescent/adult = three/nested-factor; older adult = two/three-factor), and most often included updating/working memory, inhibition, and shifting factors. A bootstrap reanalysis simulated 5,000 samples from 21 correlation matrices (11 child/adolescent; 10 adult) from studies including the three most common factors, fitting seven competing models. Model results were summarized as the mean percent accepted (i.e., average rate at which models converged and met fit thresholds: CFI ≥ .90/RMSEA ≤ .08) and mean percent selected (i.e., average rate at which a model showed superior fit to other models: ΔCFI ≥ .005/.010/ΔRMSEA ≤ -.010/-.015). No model consistently converged and met fit criteria in all samples. Among adult samples, the nested-factor was accepted (41-42%) and selected (8-30%) most often. Among child/adolescent samples, the unidimensional model was accepted (32-36%) and selected (21-53%) most often, with some support for two-factor models without a differentiated shifting factor. Results show some evidence for greater unidimensionality of executive function among child/adolescent samples and both unity and diversity among adult samples. However, low rates of model acceptance/selection suggest possible bias toward the publication of well-fitting but potentially nonreplicable models with underpowered samples. (PsycINFO Database Record (c) 2018 APA, all rights reserved)

Early Childhood Mathematics for Children who are Deaf or Hard-of-Hearing: Amplifying Opportunities to Develop Foundational Math Skills

Mathematics is an integral part of early childhood education and development. Mathematic proficiency is not only foundational for success in school, but children also use mathematical knowledge in everyday experiences. The knowledge children gain in math concepts and language used is applicable across all domains of learning (Utah State Office of Education, 2013). Math concepts are developed early in life and preschoolers possess a natural curiosity for math, as well as a natural ability to do math (Linder, Powers-Costello, & Stegelin, 2011). Mathematical skills allow children the ability to make sense of the world, building a foundation for later success in school (NAEYC & NCTM, 2002; NCTM, 2007). Early experiences with math are different than traditional math instruction for children in a K-12 educational setting. The focus is not the worksheets of addition and subtraction commonly associated with math. Rather, it is the notion that math happens informally in every day events as children use mathematical concepts to make sense of their world (Pagliaro & Kritzer, 2013). Historically, children who are deaf and hard-of-hearing (DHH) have shown slower achievement than their same-aged hearing peers across academic domains, including math proficiency (Pagliaro & Kritzer, 2013; Zarfaty, Nunes, & Bryant, 2004; Edwards, Edwards, &Langdon, 2013). In order to promote successful integration in a mainstream educational setting and minimize the risk of academic delays, it is essential that early learning experiences build on academic foundations (Yoshinaga-Itano, 2004, Cole & Flexer, 2011). This project focused on 1) the best practices of mathematics for early education, 2) delays children who are DHH face in mathematics, 3) improving math-based experiences for children who are DHH, and 4) the positive effects of parent involvement

Lesson Plans from the Higher Education Course Curriculum for a Distance Learning Model Reinforced with Robotics for 3 to 7 Years Old Children

EARLY recognizes the importance of early childhood education and the potential of digital technologies in enhancing learning experiences. By providing teachers, parents, and children with effective strategies and resources, it aims to improve the quality of online education for young children. To ensure that all preschool children have access to a continuous learning process in different circumstances (e.g., pandemics, prolonged illness or other situations), teachers and parents benefit from being prepared for these different circumstances. The materials developed and offered in the Higher Education Course Curriculum for Distance Learning Model Reinforced with Robotics for 3-7 Years Old Children are, therefore, relevant. Besides the Curriculum itself, which can be used for structuring training or for self-learning, EARLY offers some examples of activities and lesson plans for online activities with educational value. The main target group of this curriculum is pre-service preschool educators (undergraduates in most countries), but the material is also suitable and recommended for experienced preschool educators who want to expand their competences and those who are in close contact with an early childhood learner.info:eu-repo/semantics/publishedVersio