Factor analysis of the metropolitan readiness test on first-grade children

The factor composition of the Metropolitan Readiness Test was investigated, using 1st-grade subjects in a suburban school district. In this analysis, a total battery score was supported, as well as a second factor believed to represent a language dimension of the test. None of the MRT's other content areas (auditory, visual, or quantitative abilities) or a distinct prereading measure were identified for this sample.     

Academic advising—a focus on learning

Eric White and Janet Schulenberg make the case that academic advisors have a particularly significant role to play in helping students reach higher‐learning outcomes.     

Environmental Detectives—the development of an augmented reality platform for environmental simulations

The form factors of handheld computers make them increasingly popular among K-12 educators. Although some compelling examples of educational software for handhelds exist, we believe that the potential of this platform are just being discovered. This paper reviews innovative applications for mobile computing for both education and entertainment purposes, and then proposes a framework for approaching handheld applications we call “augmented reality educational gaming.” We then describe our development process in creating a development platform for augmented reality games that draws from rapid prototyping, learner-centered software, and contemporary game design methodologies. We provide a narrative case study of our development activities spread across five case studies with classrooms, and provide a design narrative explaining this development process and articulate an approach to designing educational software on emerging technology platforms. Pedagogical, design, and technical conclusions and implications are discussed.

Curriculum as Experienced by Students: How Teacher Identity Shapes Science Notebook Use

This mixed-methods case study examined the notebook entries of one class of 22 second graders as a way of examining how teacher identity shaped the way students experienced their science curriculum. These notebook entries were created during lessons with three different teachers over the course of one school year, using similar kit-based materials to teach science. The entries were coded for inquiry phase, percent missing or incomplete entries, and driving force (teacher-driven, student-driven, or balanced); chi-squared analyses revealed significant differences among the notebook entries created by the same students during lessons taught by each of the three teachers. Qualitative observations of each teachers' instruction around notebook use supported these quantitative differences, and suggested that the differences in curriculum as experienced by students could be attributed to differences in teacher identity, both who the teacher is and what they do in the classroom. These findings indicate that students' notebooks are useful tools for examining how teachers' identities might shape how elementary students experience science curriculum, and that they can be used to help structure more effective professional development plans for each teacher.     

Change in Family Income-to-Needs Matters More for Children with Less

Hierarchical linear modeling was used to model the dynamics of family income-to-needs for participants of the National Institute of Child Health and Human Development Study of Early Child Care (N = 1,364) from the time that children were 1 through 36 months of age. Associations between change in income-to-needs and 36-month child outcomes (i.e., school readiness, receptive language, expressive language, positive social behavior, and behavior problems) were examined. Although change in income-to-needs proved to be of little importance for children from nonpoor families, it proved to be of great importance for children from poor families. For children in poverty, decreases in income-to-needs were associated with worse outcomes and increases were associated with better outcomes. In fact, when children from poor families experienced increases in income-to-needs that were at least 1 SD above the mean change for poor families, they displayed outcomes similar to their nonpoor peers. The practical importance and policy implications of these findings are discussed.