One of the challenges many learning scientists face is the laborious task of coding large amounts of video data and consistently identifying social actions, which is time consuming and difficult to accomplish in a systematic and consistent manner. It is easier to catalog observable behaviours (e.g., body motions or gaze) without explicitly…

Conceptualizations of developmental trends are driven by the particular method used to analyze the period of change of interest. Various techniques exist to analyze developmental data, including individual growth curve analysis in observed and latent frameworks, cross-lagged regression to assess interrelations among variables, and multilevel…

This report is a longitudinal examination of "Preschool for All" (PFA) participants, tracking students' experiences across their first four years in elementary school. It builds upon a 2009 study that found that PFA graduates in San Mateo County were better prepared for kindergarten than their classmates who had not attended preschool…

This paper argues for a renewed focus on statistical reasoning in the beginning school years, with opportunities for children to engage in data modelling. Results are reported from the first year of a 3-year longitudinal study in which three classes of first-grade children (6-year-olds) and their teachers engaged in data modelling activities. The…

The purpose of this study was to conduct a program evaluation of a K-5 Gifted Education Program. Program evaluation addressed how well the gifted education program studied met the National Association of Gifted Children standards. In addition, this study included stakeholder perceptions of the current gifted education program K-5. This program…

Latent growth-mixture modeling was used to investigate patterns of change in loneliness for 170 children from third through fifth grades. A three-class model representing unique trajectories of loneliness provided the best overall fit to the data, including a Stable Low group (65%), as well as groups of Increasers (23%) and Decreasers (12%).…

An educational priority of many nations is to enhance mathematical learning in early childhood. One area in need of special attention is that of statistics. This paper argues for a renewed focus on statistical reasoning in the beginning school years, with opportunities for children to engage in data modelling activities. Such modelling involves…

Improving student performance for high-need student populations by improving the use of data in decision-making for early reading intervention programs in northwest Florida is the focus of this research to practice effort. The study is conceptually based on using a relational-feedback intervention (RFI) database model in early learning…

This study examined the components of a one-on-one literacy tutoring model to identify the necessary and sufficient elements for helping struggling beginning readers. The tutoring components of interest included word work using manipulative letters, written word work, and a generalization component. Reading assessment data from 100 first-grade…

In this study, we examined 56 first-grade struggling readers' phonics and reading achievement in classrooms served by SRA Reading Mastery, a scripted model of early reading instruction against the achievement of 52 first-grade struggling readers in classrooms served by one of four other, non-scripted reading models. We also studied the…

Response to intervention (RTI) is a framework for providing interventions and services at increasing levels of intensity until students succeed. The framework helps teachers and schools provide instruction and interventions matched to student needs, monitor progress frequently to guide decisions about changes in instruction or goals, and apply…

The purpose of this study was to explore the relationship of three subskills associated with word decoding. The skills utilized for this study were phonological, rapid automatized naming (RAN), and orthographic processing. To do this, six separate models were utilized to define different ways that these three subskills (represented as factors)…

Purpose: This study examined the cognitive demands of 2 selection techniques in augmentative and alternative communication (AAC), direct selection, and visual linear scanning, by determining the memory retrieval abilities of typically developing children when presented with fixed communication displays. Method: One hundred twenty typical children…

This multi-year program was based on the premise a digital divide exists between the technology skill levels of public school faculties compared to those of undergraduate teacher education candidates. The Technology Mentor Fellowship Program (TMFP) matched technologically-proficient pre-service teachers with K-12 teachers to model technology as an…