Beliefs about the Nature of Science and the Enacted Science Curriculum

This interpretive study of the teaching and learning of chemistry in an Australian high school examines the beliefs about the nature of science of a teacher and his class in relation to the enacted curriculum. Although the teacher and students tended to see science as an evolving discipline that was uncertain and changed over time, the manner in which the curriculum was implemented was a direct contrast. In the enacted curriculum science was represented as a catalogue of facts to be memorised and as algorithmic solutions to problems. The beliefs that had greatest impact on shaping the curriculum were the teachers beliefs about the nature of student learning, his beliefs about the distribution of power between himself and the students, and the extent to which restraints were accepted by the teacher as reasons for maintaining a traditional approach to teaching and learning chemistry.     

The Case for Women Mentoring Women

ABSTRACT

The authors argue that there will be a critical mass of women in leadership positions in kinesiology and across higher education for substantial gender-based mentoring to take place in the 21st century. First, the current state of women in higher education leadership, trends in mentoring, and the reasons it is important for women who have aspirations to advance in their careers are examined. The authors argue that it is important to have access to gender-based guidance and support that are critical to successful leadership into the future. The authors advocate for a focused, purposeful type of mentoring supported by relational-cultural theory and narrative practice. Men will continue to be important mentors for women, but the authors argue that, at the same time, women also need to have access to the perspectives of other women who have forged the way into higher education administration.     

More than meets the eye: patterns and shifts in middle school mathematics teachers’ descriptions of models

Modeling is a major topic of interest in mathematics education. However, the field’s definition of models is diverse. Less is known about what teachers identify as mathematical models, even though it is teachers who ultimately enact modeling activities in the classroom. In this study, we asked nine middle school teachers with a variety of academic backgrounds and teaching experience to collect data related to one familiar physical phenomenon, cooling liquid. We then asked each participant to construct a model of that phenomenon, describe why it was a model, and identify whether a variety of artifacts representing the phenomenon also counted as models during a semi-structured interview. We sought to identify: what do mathematics teachers attend to when describing what constitutes a model? And, how do their attentions shift as they engage in different activities related to models? Using content analysis, we documented what features and purposes teachers attended to when describing a mathematical model. When constructing their own model, they focused on the visual form of the model and what quantitative information it should include. When deciding whether particular representational artifacts constituted models, they focused on how the representations reflected the system under study, and what purposes those representations could serve in further understanding that system. These findings suggest teachers may have multiple understandings of models, which are active at different times and reflect different perspectives. This has implications for research, teacher education, and professional development.     

Exploring the boundaries: A study of multiple classroom learning environments

The study of learning environments has developed into a productive field of research in science education. Initially, the design and application of classroom perceptual measures of particular dimensions of science classrooms attracted much attention. More recently, such instruments have been used alongside of qualitative techniques to provide a richer understanding of sub-environments. We continue this trend in the present interpretive study by exploring the nature of multiple environments within a middle school classroom from the different perspectives of teacher, student and participant observer. In particular, we examine the activity settings of lectures and group work, as well as the issues of learning and assessment. We conclude by arguing that teachers need to adopt procedures that enable them to identify and plan for multiple environments.     

Catalysing Changes in Research on Learning Environments: Regional Editor's Introduction

Learning Environments Research -     

Multiple perceptions of children's aggression: Differences across neighborhood,age, gender,and perceiver

We investigated how overtly aggressive behavior was differentially perceived by two types of perceivers, teachers and peers, as a function of student neighborhood, gender, and grade level. Participants (N= 765) were predominantly African American students in grades 3‐5 recruited from two urban public schools in southern California. The neighborhoods surrounding the two schools differed in levels of identified violent crime and economic levels. Teachers in the community experiencing more violence perceived student behavior to be relatively less aggressive and more similar across genders than did teachers in the less violent community. Peers in the community experiencing more violent crime perceived both boys and girls to be somewhat aggressive, whereas in the less violent community, boys were perceived as aggressive more so than were girls. In general, agreement between teacher and peer perceptions was stronger for boys than for girls. © 2001 John Wiley & Sons, Inc.     

Iterated gain-based stochastic filters for dynamic system identification

We propose a novel form of nonlinear stochastic filtering based on an iterative evaluation of a Kalman-like gain matrix computed within a Monte Carlo scheme as suggested by the form of the parent equation of nonlinear filtering (Kushner–Stratonovich equation) and retains the simplicity of implementation of an ensemble Kalman filter (EnKF). The numerical results, presently obtained via EnKF-like simulations with or without a reduced-rank unscented transformation, clearly indicate remarkably superior filter convergence and accuracy vis-à-vis most available filtering schemes and eminent applicability of the methods to higher dimensional dynamic system identification problems of engineering interest.