Profiles of reading related skills in dyslexic families

The aim of the present study was to investigate patterns of similarity in reading related tasks among dyslexic members of the same family. From a sample of 19 well defined dyslexic students in grade 8, three cases were randomly selected for closer examination with a battery of tasks assumed to be causally related to reading. In all selected cases the fathers reported reading disability and in one case the mother was affected as well. The profiles of performance on the various tasks showed a striking similarity within families suggesting similar mechanisms underlying the reading disability. All cases showed remarkable problems in phonological processing, although functional reading skills were almost intact in some cases. Thus, the phonological tasks might be regarded as marker tasks for identifying genetic dyslexia.Requests for reprints should be sent to Torleiv Høien, Center for Reading Research, Stavanger Teacher College, P.B. 2521, Ullandhaug, N-4004 Stavanger, Norway.     

Latent semantic analysis as a tool for learner positioning in learning networks for lifelong learning

As we move towards distributed, self‐organised learning networks for lifelong learning to which multiple providers contribute content, there is a need to develop new techniques to determine where learners can be positioned in these networks. Positioning requires us to map characteristics of the learner onto characteristics of learning materials and curricula. Considering the nature of the network envisaged, maintaining data on these characteristics and ensuring their integrity are difficult tasks. In this article we review the usability of Latent Semantic Analysis (LSA) to generate a common semantic framework for characteristics of the learner, learning materials and curricula. Although LSA is a promising technique we identify several research topics that must be addressed before it can be used for learner positioning.     

Development of Scientific Thinking Facilitated by Reflective Self‐Assessment in a Communication‐Intensive Food Science and Human Nutrition Course

A one‐credit seminar on controversies in food science and human nutrition was a platform to introduce students to learning frameworks for thinking‐like‐a‐scientist. We hypothesized that explicitly engaging students in thinking about their thinking abilities within these frameworks would enhance their self‐perception of scientific thinking, an important general ability for food scientists. Our objectives were to assess thinking‐like‐a‐scientist using a student self‐assessment survey, and analyze their self‐reflections for evidence of such thinking. For students enrolled in one of the offerings of this course among 5 semesters from 2012 to 2014, differences in scores on a survey instrument for thinking‐like‐a‐scientist from the beginning to the end of the course showed gains in self‐assessed abilities (N = 21 to 22 students/semester). In each of the first 2 semesters in which we introduced thinking‐like‐a‐scientist frameworks, students thought they were better at defining problems scientifically by 13% to 14%. In the 3rd course offering, students’ self‐assessment of their abilities to seek evidence improved by 10%. In the 4th and 5th semester course offerings, students’ self‐assessed abilities to develop plans based on evidence improved by 7% to 14%. At the end of each semester, students’ self‐reflections on scientific thinking (N = 20 to 24/semester) included specific reference to asking questions (45% to 65% of reflections) and making plans based on evidence (26% to 50% of reflections). These data support the usefulness of self‐reflection tools as well as specific learning frameworks to help students to think about and practice thinking‐like‐a‐scientist.     

The short‐term and the long‐term effect of primary schools and classes on mathematics and language achievement scores

A considerable body of previous research has demonstrated that differences between schools and classes have an impact on students' learning and acquisition of skills. It is not yet clear, however, whether the effects persist in the longer term. The present study examines the effect of primary schools and classes on language and mathematics achievement over a period of two years after leaving primary education. Considerable short‐term effects of the primary school and class on achievement levels at the end of primary education were found. Multilevel models with a cross‐classified structure were constructed to estimate the long‐term effects. Differences between secondary schools and classes turned out to be much more important for achievement in secondary education than the long‐term effects of primary schools and classes, which were small and died out fast.     

Inequalities in the education system and the reproduction of socioeconomic disparities in voting in England,Denmark and Germany: the influence of country context,tracking and self-efficacy on voting intentions of students age 16–18

This article performs exploratory research using a mixed-methods approach (structural equation modelling and a thematic analysis of interview data) to analyse the ways in which socioeconomic disparities in voting patterns are reproduced through inequalities in education in different national contexts, and the role of self-efficacy in this process. The evidence suggests that in Germany and England students with lower socioeconomic status (SES) have lower levels of general self-efficacy, and that this is reinforced through early experiences of inequalities in the education system, such as within- or between-school selection. Low levels of general self-efficacy are then found to reduce political self-efficacy and voting intentions. In Germany and England, it is these students who enter initial vocational education and training (IVET). The experience of IVET then reinforces the distinctions in civic engagement, probably either through peer socialisation and/or curriculum differences. In Denmark, where SES has a weaker association with track placement, the experience of being placed in IVET plays a stronger role in reducing political self-efficacy and voting intentions.     

Emotional engagement,social interactions,and the development of an afterschool game design curriculum

This formative design study examines how a program curriculum and implementation was emergently (re)designed in dynamic relation to the expressed emotions of teachers and students. The context was a yearlong afterschool game design program for STEM learning at an urban and public all-girls middle school. Using Randall Collins’ (Interaction ritual chains, Princeton University Press, Princeton, 2004) sociology of emotions framework, our analysis of field notes and video data reveal how the original intended curriculum hindered the generation of positive emotions, mutual foci of attention, and feelings of group solidarity—factors important in the generation of successful group interactions. In response to teacher and student expressed emotions, we took these factors as a guide for redesigning the program curriculum and implementation in order to foster a more positive emotional climate and redirect students’ positive emotions toward engagement in learning goals. This study’s implications point to the possibilities for designing curricula and program implementations to engender more emotionally responsive environments for STEM learning.     

Improving workplace-based assessment and feedback by an E-portfolio enhanced with learning analytics

Electronic portfolios (E-portfolios) are crucial means for workplace-based assessment and feedback. Although E-portfolios provide a useful approach to view each learner’s progress, so far options for personalized feedback and potential data about a learner’s performances at the workplace often remain unexploited. This paper advocates that E-portfolios enhanced with learning analytics, might increase the quality and efficiency of workplace-based feedback and assessment in professional education. Based on a 5-phased iterative design approach, an existing E-portfolio environment was enhanced with learning analytics in professional education. First, information about crucial professional activities for professional domains and suited assessment instruments were collected (phase 1). Thereafter probabilistic student models were defined (phase 2). Next, personalized feedback and visualization of the personal development over time were developed (phase 3). Then the prototype of the E-portfolio—including the student models and feedback and visualization modules—were implemented in professional training-programs (phase 4). Last, evaluation cycles took place and 121 students and 30 supervisors from five institutes for professional education evaluated the perceived usefulness of the design (phase 5). It was concluded that E-portfolios with learning analytics were perceived to assist the development of students’ professional competencies and that the design is only successful when developed and implemented through the eyes of the users. Feedback and assessment methods based upon learning analytics can stimulate learning at the workplace in the long run. Practical, technological and ethical challenges are discussed.