Supporting the less-adaptive student: the role of learning analytics,formative assessment and blended learning

Abstract

How can we best facilitate students most in need of learning support, entering a challenging quantitative methods module at the start of their bachelor programme? In this empirical study into blended learning and the role of assessment for and as learning, we investigate learning processes of students with different learning profiles. Specifically, we contrast learning episodes of two cluster analysis-based profiles, one profile more directed to deep learning and self-regulation, the other profile more directed toward stepwise learning and external regulation. In a programme based on problem-based learning, where students are supposedly being primarily self-directed, this first profile is regarded as being of an adaptive type, with the second profile less adaptive. Making use of a broad spectrum of learning and learner data, collected in the framework of a dispositional learning analytics application, we compare these profiles on learning dispositions, such as learning emotions, motivation and engagement, learning performance and trace variables collected from the digital learning environments. Outcomes suggest that the blended design of the module with the digital environments offering many opportunities for assessment of learning, for learning and as learning together with actionable learning feedback, is used more intensively by students of the less adaptive profile.     

The Predominance of the Linear Model in Secondary School Students' Solutions of Word Problems Involving Length and Area of Similar Plane Figures

Linear (proportional) functions are undoubtedly one of the most common models for representing and solving both pure and applied problems in elementary mathematics education. But according to several authors, different aspects of the current culture and practice of school mathematics develop in students a tendency to use these linear models also in situations in which they are not applicable. This article reports two closely related studies about this phenomenon in 12–13- and 15–16-year old students working on word problems involving lengths and areas of similar plane figures of different kinds of shapes, as well as about the influence of drawings in breaking this improper use of linearity. Generally speaking, the results provide a convincing demonstration of the predominance of the linear model in secondary students' solutions of this kind of mensurational problem.     

Stabilität der physischen Fitness im Kindesalter

Monitoring of physical fitness (PF) in childhood is important from a societal as well as individual perspective to ensure and support healthy child development. Hence, the German Standing Conference of the Ministers of Education and Cultural Affairs together with the German Olympic Federation recommend the usage of motor tests, for instance in schools, to implement targeted interventions. Results of motor assessments are interpreted using reference categories to prevent overinterpretation of small but meaningless intra- and inter individual differences. Furthermore, temporal trends can influence the validity of these reference categories. The aims of the study are (1) to examine short- and medium-term changes in PF in middle childhood (2) to evaluate implications for reference values and the validity of the construct PF, (3) to provide valid reference values for eight- to nine-year-old children. In the school years 2011–2016, over 20,000 third-graders completed the German Motor Test (GMT) in the project “Berlin has Talent”. Possible temporal trends are examined using regressions and cross-tables. Implications of these changes on the construct PF are analyzed using Rasch measurement. Four out of seven tasks showed temporal changes. However, the validity and unidimensionality of the GMT are confirmed (p?>?0.90), if balancing backwards is excluded from the model. On the one hand, task-related changes of children’s motor performance within five years support the requirement of a comprehensive continuous monitoring to enable early interventions. On the other hand, they call for continuous evaluation of reference values of the GMT, which should rely on representative and sufficiently large samples.     

Diagnosing Students’ Understanding of the Nature of Models

Students’ understanding of models in science has been subject to a number of investigations. The instruments the researchers used are suitable for educational research but, due to their complexity, cannot be employed directly by teachers. This article presents forced choice (FC) tasks, which, assembled as a diagnostic instrument, are supposed to measure students’ understanding of the nature of models efficiently, while being sensitive enough to detect differences between individuals. In order to evaluate if the diagnostic instrument is suitable for its intended use, we propose an approach that complies with the demand to integrate students’ responses to the tasks into the validation process. Evidence for validity was gathered based on relations to other variables and on students’ response processes. Students’ understanding of the nature of models was assessed using three methods: FC tasks, open-ended tasks and interviews (N?=?448). Furthermore, concurrent think-aloud protocols (N?=?30) were performed. The results suggest that the method and the age of the students have an effect on their understanding of the nature of models. A good understanding of the FC tasks as well as a convergence in the findings across the three methods was documented for grades eleven and twelve. This indicates that teachers can use the diagnostic instrument for an efficient and, at the same time, valid diagnosis for this group. Finally, the findings of this article may provide a possible explanation for alternative findings from previous studies as a result of specific methods that were used.     

Visuospatial ability factors and performance variables in laparoscopic simulator training

Visuospatial ability has been shown to be important to several aspects of laparoscopic performance, including simulator training. Only a limited subset of visuospatial ability factors however has been investigated in such studies. Tests for different visuospatial ability factors differ in stimulus complexity, in their emphasis on identifying visual stimuli in a cluttered context, and in the demands they make on speed of processing. To help clarify the involvement of visuospatial ability factors in laparoscopic performance the current study investigated the role of four such factors in laparoscopic simulator performance. Twenty four students participated in a two-month course, consisting of eight weekly, half-hour laparoscopic simulator training sessions. Before the start of this course four visuospatial ability factors were measured. Learning curves were based on the simulator performance variables of (task) Duration, Motion efficiency, and Damage. The visuospatial ability factor Visualization impacted Damage and Motion efficiency. The factor Spatial relations impacted Damage. Visuospatial ability factors measuring the ability to mentally manipulate complex to moderately complex stimuli are more important than other visuospatial ability factors during basic laparoscopic simulator training. A finding relevant to theories of skill development is that the impact of Visualization on learning curves for Damage and Motion efficiency was most evident during early- and late (but not middle) training, which may be an indicator of a switch between different phases of skills learning. Learning curves and repeated measures analyses indicated damage control should be emphasized in laparoscopic skills training.     

Multiple dimensions of family engagement in early childhood education: Evidence for a short form of the Family Involvement Questionnaire

The primary aim of this study was to develop and validate a short form of the 42-item Family Involvement Questionnaire (FIQ) for use in preschool. Empirical evidence derived from a representative sample of preschool programs in a large city in New York State with the original version of the FIQ was used to select the items for a 21-item short form. A representative sample of 590 Head Start families was also identified from a large Head Start program in Pennsylvania to serve to validate the short form. Confirmatory factor analysis of the short form substantiated the three robust dimensions of family involvement from the original FIQ. Concurrent measures of parental satisfaction and assessments of children's literacy and mathematics skills along with an examination of family demographic variables supported the validity of the confirmed dimensions. Implications for the use of this multidimensional, short form of family involvement in large-scale program evaluation were discussed.     

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.     

Virtual Reality: Real Promises and False Expectations

Abstract

The article examines the latest development in advanced computer‐graphics termed Virtual Reality (VR), which is a technology that entails a 3‐dimensional artificial environment in which the user perceives a sense of presence. The paper discusses the dilemma of defining VR, and the limitations of the current technology. Furthermore, the author describes his experience with VR and looks at the implications of this new technology for education.