Florida and Puerto Rico Secondary Science Teachers’ Knowledge and Teaching of Climate Change Science

Misconceptions about climate change science are pervasive among the US public. This study investigated the possibility that these misconceptions may be reflective of science teachers’ knowledge and teaching of climate change science. Florida and Puerto Rico secondary science teachers who claim to teach extensively about climate change were surveyed in regard to their conceptions of climate change science and the climate change-related topics they teach. Results show that many teachers hold naïve views about climate change (e.g. that ozone layer depletion is a primary cause of climate change) and climate change science (e.g. that it must be based on controlled experiments for it to be valid). In addition, teachers in both groups neglect crucial topics such as how evidence for climate change is developed and the social, political, and economic dimensions of climate change. Our results suggest the need for teachers to understand how to teach climate change and the nature of climate change science using authentic contexts that promote effective socioscientific decision-making and climate change mitigation.     

Competent Consultation: Developing Self-Efficacy for Process and Problem Aspects of Consultation

ABSTRACT

Using samples of novice and advanced consultants in training (CITs), this study explored the development of consultation self-efficacy (CSE) for both process-oriented and problem-oriented aspects of consultation. Regardless of experience level, self-efficacy in both domains increased with training. However, significantly greater gains were made by novice CITs as compared to their advanced counterparts. In addition, feedback collected from consultees was generally favorable, and consultants received high ratings on items that reflected both process- and problem-focused skills. Implications for consultation training are discussed.     

Development of emotional and behavioral regulation in children born extremely preterm and very preterm: biological and social influences

This study describes the development of emotional and behavioral regulation in a regional cohort of children born extremely preterm (<28 weeks gestational age, n = 39), very preterm (<34 weeks gestational age, n = 56), and full term (n = 103). At 2 and 4 years, children born at younger gestational ages demonstrated poorer self-regulation across multiple contexts spanning observed interactions, formal cognitive testing, and parental report of child behavior at home. Among children born preterm, the 2 strongest predictors of impairments in self-regulation were the presence of moderate-to-severe cerebral white matter abnormalities on neonatal magnetic resonance and a less sensitive parenting style when children were aged 2 years. Findings support the importance of early neurological development and parenting for developing regulation in children born very preterm.     

From climate change victims to climate change actors: The role of eco-parenting in building mitigation and adaptation capacities in children

Studies have acknowledged children not as climate change victims only, but also as climate change actors. However, only a few have addressed the preparatory stages of children as climate change actors. However, the few studies that addressed these preparatory stages gave attention only to the roles of schools and government agencies without adequate attention to that of parents. This article therefore attempts to discuss the role of eco-parenting in building mitigation and adaptation capacities in children. Relying on the authoritative parenting model, the article avers that eco-parenting can have significant effects on children's ability to protect the environment, mitigate, and adapt to climate change impacts.     

Bounding,An Accessible Method for Estimating Principal Causal Effects,Examined and Explained

Estimating treatment effects for subgroups defined by posttreatment behavior (i.e., estimating causal effects in a principal stratification framework) can be technically challenging and heavily reliant on strong assumptions. We investigate an alternative path: using bounds to identify ranges of possible effects that are consistent with the data. This simple approach relies on fewer assumptions and yet can result in policy-relevant findings. As we show, even moderately predictive covariates can be used to substantially tighten bounds in a straightforward manner. Via simulation, we demonstrate which types of covariates are maximally beneficial. We conclude with an analysis of a multisite experimental study of Early College High Schools. When examining the program's impact on students completing the ninth grade “on-track” for college, we find little impact for ECHS students who would otherwise attend a high-quality high school, but substantial effects for those who would not. This suggests a potential benefit in expanding these programs in areas primarily served by lower quality schools.     

Building a metacognitive model of reflection

An increased value is being placed on quality teaching in higher education. An important step in developing approaches to better instruction is understanding how those who are successful go about improving their teaching. Thus, several years ago we undertook a program of research in which the concept of reflection provided the frame of reference. We envisaged reflection as a process of formative evaluation, and also saw links between reflection and metacognition. What we have documented and analyzed in detail are the reflective processes of six university professors in their day-to-day planning, instructing and evaluating of learners. The result is a metacognitive model and coding scheme that operationalize the process of reflection. Both provide a language for describing reflection and therefore a way to think about how to improve teaching. In this paper, we describe the research and the model and the contributions they make to our understanding of teacher thinking in higher education.