Gender norms and STEM: the importance of friends for stopping leakage from the STEM pipeline

More women are now entering male-dominated fields, yet, science, technology, engineering, and mathematics (STEM) remain dominated by men. We examined the association between boys’ and girls’ STEM choices after secondary education and friends’ gender norms, and whether pressure to conform to traditional gender norms differs depending on the gender composition of the friend group. Drawing on 3 waves of longitudinal data (N?=?744) from the Netherlands, our sample consists of adolescents in STEM trajectories in secondary education. Their retention in STEM after secondary education gives us a better understanding of gender-specific “leakage” from the STEM pipeline. We found that girls’ likelihood of choosing STEM decreased drastically when friends had more traditional gender norms. Friends with traditional gender norms had less effect on boys. Nonetheless, boys with only same-sex friends were more likely to enter STEM. Our findings indicate that an environment with gender-normative ideas pushes girls out of the STEM pipeline.     

Teachers’ professional learning goals in relation to teaching experience*

In this study, we explored the relationships between teachers’ self-articulated professional learning goals and their teaching experience. Although those relationships seem self-evident, in programmes for teachers’ professional development years of teaching experience are hardly taken into account. Sixteen teachers with varying years of experience and subjects were interviewed. The results show different learning goals, related to communication and organisation, curriculum and instruction, innovation, responsibilities, and themselves as professional. Various relationships between learning goals and teaching experience emerged, which clearly reflect the development from early- to mid- and late-career teachers. Issues related to curriculum and instruction appeared to be learning goals for early- and mid-career teachers. This implies that regardless of increasing teaching expertise, curriculum and instruction remain central to teachers’ continuous learning. Late-career teachers were interested in learning about extra-curricular tasks and innovations. Models of professional life phases have been used to interpret these results.     

Testing the effectiveness of classroom formative assessment in Dutch primary mathematics education

Classroom formative assessment (CFA) is considered to be a fundamental part of effective teaching, as it is presumed to enhance student performance. However, there is only limited empirical evidence to support this notion. In this effect study, a quasi-experiment was conducted to compare 2 conditions. In the treatment condition, 17 teachers implemented a CFA model containing both daily and weekly goal-directed instruction, assessment, and immediate instructional feedback for students who needed additional support. In the control condition, 17 teachers implemented a modification to their usual practice. They assessed their students’ mastery of learning goals on the basis of half-yearly mathematics tests, and prepared weekly pre-teaching sessions for groups of low-achieving students. The posttests showed no significant differences in student performance between the 2 conditions after controlling for student and teacher characteristics. The degree of implementation of the CFA model, however, appeared to be positively related to the 5th-grade students’ performance.     

Localising and tailoring research evidence helps public health decision making

Background

Published research evidence is typically not readily applicable to practice but needs to be actively mobilised.

Objectives

This paper explores the mechanisms used by information professionals with a specific knowledge mobilisation role to make evidence useful for local decision making and planning of public health interventions.

Methods

Data are drawn from a NIHR project that studied how, when, where and by whom published research evidence is used in commissioning and planning across two sites (one in England and one in Scotland). Data included 11 in‐depth interviews with information professionals, observations at meetings and documentary analysis.

Results

Published research evidence is made fit for local commissioning and planning purposes by information professionals through two mechanisms. They localise evidence (relate evidence to local context and needs) and tailor it (present actionable messages).

Discussion

Knowledge mobilisation roles of information professionals are not recognised and researched. Information professionals contribute to the ‘inform’ and ‘relational’ functions of knowledge mobilisation; however, they are less involved in improving the institutional environment for sustainable knowledge sharing.

Conclusion

Information professionals are instrumental in shaping what evidence enters local decision making processes. Identifying and supporting knowledge mobilisation roles within health libraries should be the focus of future research and training.

     

When Communication Meets Computation: Opportunities,Challenges, and Pitfalls in Computational Communication Science

ABSTRACT

The recent increase in digitally available data, tools, and processing power is fostering the use of computational methods to the study of communication. This special issue discusses the validity of using big data in communication science and showcases a number of new methods and applications in the fields of text and network analysis. Computational methods have the potential to greatly enhance the scientific study of communication because they allow us to move towards collaborative large-N studies of actual behavior in its social context. This requires us to develop new skills and infrastructure and meet the challenges of open, valid, reliable, and ethical “big data” research. By bringing together a number of leading scholars in one issue, we contribute to the increasing development and adaptation of computational methods in communication science.     

The irrelevance of IQ to the definition of learning disabilities: some empirical evidence

The relevance of IQ to the definition of learning disabilities is a much-debated issue. In this article, the effect of not using IQ in the identification of children with reading disabilities is demonstrated. Two classification procedures, differing in their use of IQ, are compared. The first conclusion is that abandoning IQ in classification has a very limited impact on the number of children identified as reading disordered. Our data demonstrate that, if IQ is used, more high IQ children are classified. Another finding pertains to the effect of a restriction of IQ range. The number of children classified as reading disordered is a function of the IQ range.     

The case for scenario-based assessment of written argumentation

Reading and Writing - This paper presents a theoretical and empirical case for the value of scenario-based assessment (SBA) in the measurement of students’ written argumentation skills....