Teaching and discussing about risk: seven elements of potential significance for science education

The present paper takes its point of departure in risk being a relevant content for science education, and that there are many different approaches to how to incorporate it. By reviewing the academic literature on the use and definitions of risk from fields such as engineering, linguistics and philosophy, we identified key elements of the risk concept relevant for science education. Risk is a phenomenon of the future that may be conveyed by our activity, it is something that may or may not take place. Hence, at the core of risk we find uncertainty and consequence. Furthermore, the elements of probability and severity are relevant modifiers of the consequence, as well as both subject to uncertainty. Additionally, in framing, understanding and decision-making on risk, as individuals or society, we need to acknowledge that risk has both objective and subjective components, lying in the interface between knowledge and values. In this paper, we describe how these key elements were derived from the literature and derive a schematic model of the risk concept for the purpose of science education. We further discuss how this model may assist in planning, execution and evaluation of teaching activities explicitly or implicitly involving risk issues.     

Same Same,but Different: Word and Sentence Reading in German and English

The current study compared eye fixation patterns during word and sentence processing in a consistent and an inconsistent alphabetic orthography. German and English children as well as adults matched on word reading ability read matched sentences while their eye fixation behavior was recorded. Results indicated that German children read in a more small-unit plodder-like style with more diligent first-pass reading and less rereading. In contrast, English children read in a more large-unit explorer-like style with a greater tendency to skip words, and more regressions. It is important that these cross-linguistic processing differences largely persisted in the adult readers. Orthographic consistency thus influences both local word recognition and global sentence processing in developing and skilled readers.     

Qualifying online teachers—Communicative skills and their impact on e-learning quality

Worldwide there is an increasing demand for educational institutions to offer part of their educations online and mixed mode. For institutions to comply with these demands, it is necessary to prepare teachers (and other members of the staff), to fulfil their responsibilities within the virtual environment. Teachers must be able to organize their courses pedagogically according to different conditions, i.e., subject domains, group sizes, variations within communication and interaction. Teachers must acquire knowledge and skills in handling Information and Communication Techniques (ICT) as well as pedagogical possibilities and constraints inherited in the software available. Several studies demonstrate that technical obstacles are easier to overcome than lack of communication skills. Also the consequenses of communication breakdowns tend to create serious problems that technology cannot solve. These problems concern how teachers function satisfactory as mediators and coaches in collaborative, knowledge sharing virtual environments. For example, how teachers support their students in becoming online-students and how they facilitate complex discussions on difficult topics. This is a big challenge for everybody involved in e-learning, and the challenge is not met by offering introductory courses for university teachers. Based on basis of a recent examination of concrete actions and strategies for the future within 11 Danish universities, the auther argues that there exists a severe mismatch between the organisational expectations and strategies and the competence-evolving activities that the same organisations offer to their staff. A recent case study of a university pedagogy course on e-learning for university teachers demonstrates and identifies some of the consequences of the mismatch. Finally the author suggests strategies to meet the demands of the future online university.     

Gender equality in German universities: vernacularising the battle for the best brains

We examine how global pressures for competitiveness and gender equality have merged into a discourse of ‘inclusive excellence’ in the twenty-first century and shaped three recent German higher education programmes. After placing these programmes in the larger discourse about gender inequalities, we focus on how they adapt current global concerns about both being ‘the best’ and increasing ‘gender equality’ in locally specific ways, a process called vernacularisation. German equality advocates used ‘meeting international standards’ as leverage, drew on self-governance norms among universities, used formal gender plans as mechanisms to direct change, and set up competition to legitimate intervention. This specific incremental policy path for increasing women's status in German universities also mobilised the national funding agency and local gender equality officers as key actors, and placed particular emphasis on family friendliness as the expression of organisational commitment to gender equality.     

Constructivism in Practice: an Exploratory Study of Teaching Patterns and Student Motivation in Physics Classrooms in Finland,Germany and Switzerland

For the last three decades, moderate constructivism has become an increasingly prominent perspective in science education. Researchers have defined characteristics of constructivist-oriented science classrooms, but the implementation of such science teaching in daily classroom practice seems difficult. Against this background, we conducted a sub-study within the tri-national research project Quality of Instruction in Physics (QuIP) analysing 60 videotaped physics classes involving a large sample of students (N?=?1192) from Finland, Germany and Switzerland in order to investigate the kinds of constructivist components and teaching patterns that can be found in regular classrooms without any intervention. We applied a newly developed coding scheme to capture constructivist facets of science teaching and conducted principal component and cluster analyses to explore which components and patterns were most prominent in the classes observed. Two underlying components were found, resulting in two scales—Structured Knowledge Acquisition and Fostering Autonomy—which describe key aspects of constructivist teaching. Only the first scale was rather well established in the lessons investigated. Classes were clustered based on these scales. The analysis of the different clusters suggested that teaching physics in a structured way combined with fostering students’ autonomy contributes to students’ motivation. However, our regression models indicated that content knowledge is a more important predictor for students’ motivation, and there was no homogeneous pattern for all gender- and country-specific subgroups investigated. The results are discussed in light of recent discussions on the feasibility of constructivism in practice.     

The Chain and Post-Stratification Methods for Observed-Score Equating: Their Relationship to Population Invariance

The Non-Equivalent-groups Anchor Test (NEAT) design has been in wide use since at least the early 1940s. It involves two populations of test takers, P and Q, and makes use of an anchor test to link them. Two linking methods used for NEAT designs are those (a) based on chain equating and (b) that use the anchor test to post-stratify the distributions of the two operational test scores to a common population (i.e., Tucker equating and frequency estimation). We show that, under different sets of assumptions, both methods are observed score equating methods and we give conditions under which the methods give identical results. In addition, we develop analogues of the Dorans and Holland (2000) RMSD measures of population invariance of equating methods for the NEAT design for both chain and post-stratification equating methods.     

Using Networks to Visualize and Analyze Process Data for Educational Assessment

New technology enables interactive and adaptive scenario‐based tasks (SBTs) to be adopted in educational measurement. At the same time, it is a challenging problem to build appropriate psychometric models to analyze data collected from these tasks, due to the complexity of the data. This study focuses on process data collected from SBTs. We explore the potential of using concepts and methods from social network analysis to represent and analyze process data. Empirical data were collected from the assessment of Technology and Engineering Literacy, conducted as part of the National Assessment of Educational Progress. For the activity sequences in the process data, we created a transition network using weighted directed networks, with nodes representing actions and directed links connecting two actions only if the first action is followed by the second action in the sequence. This study shows how visualization of the transition networks represents process data and provides insights for item design. This study also explores how network measures are related to existing scoring rubrics and how detailed network measures can be used to make intergroup comparisons.     

How to improve argumentation comprehension in university students: experimental test of a training approach

Instructional Science - The ability to comprehend informal arguments is essential for scientific literacy but students often lack structural knowledge about these arguments, especially when the...