Assessing Students' Understandings of Biological Models and their Use in Science to Evaluate a Theoretical Framework

Research in the field of students’ understandings of models and their use in science describes different frameworks concerning these understandings. Currently, there is no conjoint framework that combines these structures and so far, no investigation has focused on whether it reflects students' understandings sufficiently (empirical evaluation). Therefore, the purpose of this article is to present the results of an empirical evaluation of a conjoint theoretical framework. The theoretical framework integrates relevant research findings and comprises five aspects which are subdivided into three levels each: nature of models, multiple models, purpose of models, testing, and changing models. The study was conducted with a sample of 1,177 seventh to tenth graders (aged 11–19 years) using open-ended items. The data were analysed by identifying students' understandings of models (nature of models and multiple models) and their use in science (purpose of models, testing, and changing models), and comparing as well as assigning them to the content of the theoretical framework. A comprehensive category system of students' understandings was thus developed. Regarding the empirical evaluation, the students' understandings of the nature and the purpose of models were sufficiently described by the theoretical framework. Concerning the understandings of multiple, testing, and changing models, additional initial understandings (only one model possible, no testing of models, and no change of models) need to be considered. This conjoint and now empirically tested framework for students' understandings can provide a common basis for future science education research. Furthermore, evidence-based indications can be provided for teachers and their instructional practice.     

Modelling Molecular Mechanisms: A Framework of Scientific Reasoning to Construct Molecular-Level Explanations for Cellular Behaviour

Although molecular-level details are part of the upper-secondary biology curriculum in most countries, many studies report that students fail to connect molecular knowledge to phenomena at the level of cells, organs and organisms. Recent studies suggest that students lack a framework to reason about complex systems to make this connection. In this paper, we present a framework that could help students to reason back and forth between cells and molecules. It represents both the general type of explanation in molecular biology and the research strategies scientists use to find these explanations. We base this framework on recent work in the philosophy of science that characterizes explanations in molecular biology as mechanistic explanations. Mechanistic explanations describe a phenomenon in terms of the entities involved, the activities displayed and the way these entities and activities are organized. We conclude that to describe cellular phenomena scientists use entities and activities at multiple levels between cells and molecules. In molecular biological research, scientists use heuristics based on these intermediate levels to construct mechanistic explanations. They subdivide a cellular activity into hypothetical lower-level activities (top-down approaches) and they predict and test the organization of macromolecules into functional modules that play a role in higher-level activities (bottom-up approaches). We suggest including molecular mechanistic reasoning in biology education and we identify criteria for designing such education. Education using molecular mechanistic reasoning can build on common intuitive reasoning about mechanisms. The heuristics that scientists use can help students to apply this intuitive notion to the levels in between molecules and cells.     

The development of a questionnaire on metacognition for students in higher education

Interest in the role of metacognition has been steadily rising in most forms of education. This study focuses on the construction of a questionnaire for measuring metacognitive knowledge, metacognitive regulation and metacognitive responsiveness among students in higher education and the subsequent process of testing to determine its validity.

Purpose

The aim of the study was to construct an original instrument for measuring features of metacognition, henceforth referred to as the Awareness of Independent Learning Inventory (AILI), and further to establish the similarities and differences between this model and existing instruments for measuring metacognition.

Sample

The AILI questionnaire was distributed to 1058 students in various types of Teacher Training Institutes in the Netherlands and Belgium. The abridged English version of the questionnaire was administered to another sample of 729 students reading Economics and Business Administration at the University of Maastricht in the south of the Netherlands.

Design and methods

The AILI instrument was constructed on the basis of a facet design along two dimensions: components of metacognition and topics of concern to students in higher education. The data gathered with the instrument was analyzed by means of a generalisability study and a decision study, respectively. The validity of the instrument was investigated by using confirmatory factor analysis.

Results

The generalisability study showed that the reliability of the instrument was satisfactory. The decision study revealed that the number of items included in the questionnaire could be reduced substantially by leaving out two components of one of the dimensions in the facet design, without losing too much generalisability. The validity study showed that there was a considerable level of congruity between parts of the AILI questionnaire and the relevant parts of the Motivated Strategies for Learning Questionnaire (MSLQ).

Conclusions

The AILI questionnaire is a reliable and valid instrument for measuring metacognitive knowledge, regulation and responsiveness. It is suitable for use in the evaluation of the effects of interventions that purport to increase metacognitive knowledge, regulation and responsiveness of students in higher education.     

Known-item Searches Resulting in Zero Hits: Considerations for Discovery Systems

The goal of this article is to understand the reasons why known-item search queries entered in a discovery system return zero hits. We analyze a sample of 708 known-item queries and classify them into four categories of zero hits with regard to whether the item is held by the library and whether the query is formulated correctly: (1) item in stock, but query incorrect, (2) item not in stock, (3) item in stock, but incomplete or erroneous metadata, (4) query is ambiguous or not understandable. The main reasons for zero hits are caused by acquisition and erroneous search queries. We discuss possible solutions for known-item queries resulting in zero hits from the side of the system and show that 30% of zero hits could easily be avoided by applying automatic spelling correction. We argue that libraries can improve their discovery systems or online catalogs by applying strategies to avoid or cope with zero hits inspired by web search engines and commercial search web sites.     

Wider die „Sternchenkunde“!

In general, empirical results are analyzed using statistical methods to examine and discuss differences and interrelationships. Statistical methodological evaluation and the underlying reporting strategy can be described as a technical language that has to be learnt for successful communication between researchers, authors and reviewers; however, empirical science is a constantly changing environment which is why the statistical methods applied have to be refined to adhere to new empirical approaches. This line of thought will be discussed in this article and five essential recommendations will be presented: (a) directionality of hypotheses, (b) confidence intervals, (c) effect sizes, (d) confidence intervals of effect sizes and (e) practical meaningfulness.     

Predictive value of coaches’ early technical and tactical notational analyses on long-term success of female handball players

ABSTRACT

Despite the importance of technique and tactics for athlete performance, there has been surprisingly little research on the value of these skills in talent identification and development. This study investigated the relationship between coaches’ early notational analyses of female youth handball players and the long-term success of these athletes. Participants included sixty-eight female handball players involved in a talent selection camp in Germany when they were between 12 and 14 years of age (mean = 14.42, SD = 0.42). All subsequently ended up as non-, semi- or professional adult players. During the initial selection camp, participants were evaluated on a range of quantitative and qualitative measures of technical and tactical skill. Results indicated significant differences between the groups, but only for the number of actions taken, not for the quality of those actions. While this seems counterintuitive, it may reflect the likelihood that more skilled and/or talented players take more actions. Further work is necessary to explore the validity and implications of these findings.     

A longitudinal perspective on inductive reasoning tasks. Illuminating the probability of change

Cognitive scientists have studied internal cognitive structures, processes, and systems for decades in order to understand how they function in human learning. Nevertheless, questions concerning the diagnosis of changes in these cognitive structures while solving inductive reasoning tasks are still being scrutinized. This paper reports findings from an experimental study in which 64 participants in three experimental groups solved tasks at ten measurement points. We were able to illuminate changes of cognitive structures and found significant differences between the treatments. The results also indicate that supportive information is an important aid for developing cognitive structures while solving inductive reasoning tasks.     

Professors as value agents: a typology of management academics’ value structures

The paper addresses the paradox of value-free science and the need for value-oriented management education. Taking the values discussion in the German management community as an example, we identify two stereotypes in management literature: an allegedly value-free scientist who limits responsibility to economic aims and a value-laden academic who accepts responsibilities for societal aims and who aims to influence students’ values. These stereotypes are then challenged against empirical data from a global survey of management academics. While the stereotypes are shown to be of only limited relevance, five clusters of management academics are identified based on their economic values, their social values and their intention to influence their students’ values. As determinants of cluster attribution, cultural environment and discipline prove the most influential on value differences in the global sample. Gender, in contrast, has no significant impact. Finally, implications for higher education institutions are derived that may help to cope with values more consciously and more professionally.