A content analysis of research published in the Journal of Research in Science Teaching from 1985 through 1989

To determine if actual practice was consistent with commonly recommended research methods and procedures, this study examined 130 studies reported over a 5-year period in three volumes of the Journal of Research in Science Teaching (JRST). The results were consistent with similar previous analyses (Shaver & Norton, 1980a, 1980b; Wallen & Fraenkel, 1988a) and indicate that appropriate generalizations beyond the confines of the reported studies may be impossible for most (64%) of the JRST studies surveyed. The findings also show that replication studies, which could be employed to offset deficiencies in generalizability, were not commonly encountered (3%) in these 130 reports. In addition, the study results indicate that many researchers (48%) do not properly restrict their conclusions based on the limits imposed by the accessible populations and samples used; nor do they typically provide possible alternative explanations for the outcomes obtained (76%). These findings prompt the following recommendations: 1. A greater awareness and use of replication as a check on generalizability should be encouraged by the science education community. 2. Clearly defined populations (target and accessible) and fully described samples warrant increased attention as report components from authors, reviewers, and editorial board members of JRST. 3. In light of the difficulties inherent in effecting random selection in educational settings, a greater emphasis should be placed on recognizing the limits that the underlying assumptions of inferential statistics place on research conclusions. The results of this study indicate that the methodological quality of published science education research should remain a concern for both practitioners and readers.     

Design Research as a Mechanism for Consultants to Facilitate and Evaluate Educational Innovations

Schools across the nation are implementing innovative practices; however, questions remain regarding how to facilitate quality implementation. Research designs that emphasize high degrees of control over independent variables result in findings with internal validity, but that may not generalize to complex, dynamic educational systems. The purpose of this article is to propose a design research framework as a mechanism for consultants to facilitate and evaluate innovation implementation. Information on design research principles and processes is provided, and issues to consider when applying the framework are discussed. An illustration of how a design research framework was applied in a large-scale initiative to implement and evaluate Response to Intervention (RtI) implementation is also provided. Finally, issues and questions to consider relative to consultants' use of design research principles are explored.     

Contents Volume 16 (2003)

Volume Contents

Contents Volume 16 (2003)     

A better start to literacy learning: findings from a teacher-implemented intervention in children’s first year at school

Reading and Writing - This study investigated the feasibility of a teacher implemented intervention to accelerate phonological awareness, letter, and vocabulary knowledge in 141 children (mean age...     

Developing Mentors: An Analysis of Shared Mentoring Practices

Understanding how experienced teachers share and articulate effective mentoring practices can guide efforts to prepare quality mentors. This qualitative study focused on mentoring practices within a teacher-designed student-teaching program conceptualized while the mentor teachers within the program were students in a graduate-level mentoring course and implemented upon the mentors’ completion of their graduate studies. Data sources included interviews and field notes from meetings with mentors and student teachers. The results detail specific mentoring practices: explicit instruction through scaffolding, developing the whole teacher, student-teacher-directed learning, fostering student teachers’ individual practice, explicit mentoring of one another, and reflecting on mentoring. These practices were enabled by program structures such as mentor meetings, an online forum, and mentors’ observation of all student teachers in the program.     

Cortisol in Neonatal Mother's Milk Predicts Later Infant Social and Cognitive Functioning in Rhesus Monkeys

Milk provides not only the building blocks for somatic development but also the hormonal signals that contribute to the biopsychological organization of the infant. Among mammals, glucocorticoids (GCs) in mother's milk have been associated with infant temperament. This study extended prior work to investigate rhesus monkey (Macaca mulatta) mother–infant dyads (N = 34) from birth through 8 months postpartum. Regression analysis revealed that cortisol concentrations in milk during the neonatal period predicted impulsivity on a cognitive task, but not global social behaviors, months later. During this time period, sex‐differentiated social behavior emerged. For female infants, milk cortisol concentrations predicted total frequency of play. Collectively, these findings support and extend the “lactational programming” hypothesis on the impact of maternal‐origin hormones ingested via milk.     

Opening or closing doors for students? Equity and data use in schools

Ensuring equitable opportunities and outcomes for all students is a top priority of many educators and policymakers across the globe. Data use can be an important lever for achieving equity, but how this can occur is not well understood. In this article, we draw upon knowledge gained in a decade of in-depth qualitative research to examine the ways in which data use helps to open or close doors for students. We discuss data use practices that influence equity goals: (1) accountability-driven data use and data use for continuous improvement; (2) using data to confirm assumptions and using data to challenge beliefs, and (3) tracking and flexible grouping to promote student growth. Along each of these dimensions, there are active decision makers, complex processes of data use at play, and a great deal of variation both within and across contexts. Ultimately, educators and policymakers are faced with critical choices regarding data use that can profoundly affect students’ daily educational experiences and trajectories.     

Informal mentoring for aspiring school leaders: a phenomenological study

ABSTRACT

Informal mentoring had been previously identified as a vital component to leadership development and succession planning. Through a phenomenological approach, we sought to capture the lived experiences of aspiring school leaders pertaining to informal mentoring. Using open-ended questions and reflective activities, eight aspiring school leaders provided information about their experiences and characteristics of informal mentoring. Through a human science research perspective, four themes emerged from the data analysis: (a) defining informal mentoring, (b) characteristics of effective informal mentors, (c) constructive relationship, and (d) mentoring recommendations. Participants found their experiences with informal mentoring beneficial. There was a reported high level of trust between mentor and protégé and the process was flexible. Because the aspiring leaders sought to become school leaders in the near future, most were cognizant of the fact they needed to have quality mentors, but also be a mentor to new educators.