A Comprehensive Analysis of High School Genetics Standards: Are States Keeping Pace with Modern Genetics?

Science education in the United States will increasingly be driven by testing and accountability requirements, such as those mandated by the No Child Left Behind Act, which rely heavily on learning outcomes, or "standards," that are currently developed on a state-by-state basis. Those standards, in turn, drive curriculum and instruction. Given the importance of standards to teaching and learning, we investigated the quality of life sciences/biology standards with respect to genetics for all 50 states and the District of Columbia, using core concepts developed by the American Society of Human Genetics as normative benchmarks. Our results indicate that the states' genetics standards, in general, are poor, with more than 85% of the states receiving overall scores of Inadequate. In particular, the standards in virtually every state have failed to keep pace with changes in the discipline as it has become genomic in scope, omitting concepts related to genetic complexity, the importance of environment to phenotypic variation, differential gene expression, and the differences between inherited and somatic genetic disease. Clearer, more comprehensive genetics standards are likely to benefit genetics instruction and learning, help prepare future genetics researchers, and contribute to the genetic literacy of the U.S. citizenry.     

Modifications of Recognition Memory Processes in Preterm Children: An Event‐Related Potential Study

Prematurity may cause hippocampal compromise. Therefore, hippocampus‐dependent memory processes (recollection‐based retrieval) may be more impaired than hippocampus‐independent processes (familiarity‐based retrieval). The memory of 18 children born preterm with reduced hippocampal volumes, without neonatal complications (weeks of gestation < 34, weight < 1,600 g), and 15 controls (8–10 years) was tested using an item recognition task. While groups were equal in memory performance, dissociation was found: The event‐related potential (ERP) correlate of familiarity was intact in the preterm group, whereas the correlate of recollection was attenuated. A follow‐up experiment ruled out that this was due to general cognitive deficits. Furthermore, gestational age correlated with the ERP index of recollection. Thus, recognition memory in preterm children may be characterized by a compensation of attenuated recollection by familiarity.     

Finding knowledge on the Internet: implications for the knowledge-driven curriculum

This article offers a critique of Michael Young’s perspective on the Internet as it relates to the knowledge-driven curriculum he supports. I argue that the Internet is a site of both theoretical knowledge and everyday concepts which challenges the differentiation of knowledge that premises much of Young’s writing. Google searches from the perspective of a student and teacher show that theoretical knowledge with vertical links to subject and disciplinary communities as well as coherence built through links between concepts is fairly readily accessed on the Internet. The importance of information literacy for students, the critical need to curate content on the web, as well as the implications for the curriculum of framing ‘knowing’ as encompassing ‘being familiar’ and comprehending’ are highlighted.     

Video game learning dynamics: Actionable measures of multidimensional learning trajectories

Valid, accessible, reusable methods for instructional video game design and embedded assessment can provide actionable information enhancing individual and collective achievement. Cyberlearning through game‐based, metaphor‐enhanced learning objects (CyGaMEs) design and embedded assessment quantify player behavior to study knowledge discovery and application. CyGaMEs is grounded by analogical reasoning theory, cognitive task analysis and knowledge representation. A construct representation argument for validity using evidence‐centered design warrants CyGaMEs, its web‐based learning environment, Selene: A Lunar Construction GaME, its embedded assessment, and a learning dynamics approach to student, measurement and statistical models. Two studies (US volunteers, Study 1: n = 267, mean (M)_age = 15; Study 2: n = 90, M_age = 12) cross‐validate learning dynamics (learner progress, rate of progress and changes in that rate) for Selene's multidimensional goals while players learn and apply standard‐based science about fundamental geology and space science concepts. Gameplay data analyzed using regression, calculus and hierarchical linear modeling exhibit overall relatively high standardized rates of progress toward each goal statistically higher than zero. For example, adjusting for nesting within individual players, average rate of progress toward the goal of accreting lunar mass is a z‐score of 1.4 (99% confidence interval = 1.40_lower, 1.48_upper) or 1.4 standard deviations above zero.     

University–preschool partnership and workplace-based learning: a collaborative ‘third space’ or no space at all?

The article examines the aims of the workplace-based learning of prospective preschool teachers in Iceland and associated cooperative practices between the University of Iceland and preschools. A ‘third space’ of collaboration between these two sites is considered necessary if the education of preschool student teachers is to be effective. Collaboration between the university and preschools as presented in the university’s policy documents and as implemented in practice will be investigated and compared to the literature on collective third space. Implications for both policy and practice are discussed.     

Examining the Rule of Thumb of Not Using Multilevel Modeling: The “Design Effect Smaller Than Two” Rule

Educational researchers commonly use the rule of thumb of “design effect smaller than 2” as the justification of not accounting for the multilevel or clustered structure in their data. The rule, however, has not yet been systematically studied in previous research. In the present study, we generated data from three different models (which differ in the location of the clustering effect). With a 3 (design effect) × 5 (cluster size) × 4 (number of clusters) Monte Carlo simulation study we found that the rule should not be applied when researchers: (a) are interested in the effects of higher-level predictors, or (b) have a cluster size less than 10. Implications of the findings and limitations of the study are discussed.