Interpersonal Teacher Behaviour and Student Outcomes

In this study, the effectiveness of secondary education teachers' interpersonal behaviour is investigated by analysing data from 2 samples: a study on 45 Physics teachers and their 3rd-year classes and a study on 32 English as a Foreign Language (EFL) teachers and their 3rd-year classes. Teacher interpersonal behaviour was studied by means of students' perceptions of this behaviour, collected with the Questionnaire on Teacher Interaction (QTI). These perceptions include 2 important dimensions: Influence and Proximity. Results of multilevel analyses with various covariates indicated that Influence and Proximity were positively related to both cognitive and affective outcomes. Interpersonal behaviour explained up to more than half of the variance in student outcomes at the teacher-class level. The outcomes suggest that interpersonal behaviour as perceived by students may be an important variable for educational effectiveness researchers.     

Cultural differences in the perception of critical interaction behaviors in global virtual teams

We investigated whether members of virtual teams from the U.S., India, and Belgium perceived the same interaction behaviors to be critical for team functioning as Dutch members from an earlier study. Thirteen virtual team workers from the U.S., 11 from India, and 11 from Belgium were interviewed by means of the Critical Incident Technique Flanagan [Flanagan, J. C. (1954). The critical incident technique. Psychological Bulletin, 51, 327–358]. The total number of critical incidents from all countries was 493 and most incidents could be grouped into the same 13 categories as those found in the original Dutch study. However, the results showed that the distributions of the critical incidents from the American, Indian, and Belgian respondents differed from those of the Dutch. Indian and Belgian respondents also mentioned a new category of critical incidents: Respectfulness. The cultural differences were interpreted by means of Hofstede's [Hofstede, G. (2001). Cultures consequences: comparing values, behaviors, institutions, and organizations across nations (2nd ed.). Thousand Oaks, California, U.S.: SAGE Publications] dimensions.     

Breaking the filter bubble: democracy and design

It has been argued that the Internet and social media increase the number of available viewpoints, perspectives, ideas and opinions available, leading to a very diverse pool of information. However, critics have argued that algorithms used by search engines, social networking platforms and other large online intermediaries actually decrease information diversity by forming so-called “filter bubbles”. This may form a serious threat to our democracies. In response to this threat others have developed algorithms and digital tools to combat filter bubbles. This paper first provides examples of different software designs that try to break filter bubbles. Secondly, we show how norms required by two democracy models dominate the tools that are developed to fight the filter bubbles, while norms of other models are completely missing in the tools. The paper in conclusion argues that democracy itself is a contested concept and points to a variety of norms. Designers of diversity enhancing tools must thus be exposed to diverse conceptions of democracy.     

David F. Treagust: congenial soul, science educator, and international research leader

For almost a half century David F. Treagust has been an exemplary science educator who has contributed through his dedication and commitments to students, curriculum development and collaboration with teachers, and cutting edge research in science education that has impacted the field globally, nationally and locally. A hallmark of his outstanding career is his collaborative style that inspires others to produce their best work.     

Estimation of a Nonlinear Intervention Phase Trajectory for Multiple-Baseline Design Data

A multilevel logistic model for estimating a nonlinear trajectory in a multiple-baseline design is introduced. The model is applied to data from a real multiple-baseline design study to demonstrate interpretation of relevant parameters. A simple change-in-levels (ΔLevels) model and a model involving a quadratic function (Quadratic) for the nonlinear intervention phase data were also estimated. In addition, a simulation study was conducted to assess Markov chain Monte Carlo estimation of the logistic model and compare its trajectory recovery with use of the ΔLevels and Quadratic models. While most of the logistic model's parameter values were recovered well, trajectory recovery was very reasonable using the simpler Quadratic model. Results are discussed along with recommendations for practitioners and directions for future research.     

The development of student teachers’ research knowledge,beliefs and attitude

This study reports on the development of second-year student teachers’ knowledge of research, and the changes in their beliefs and attitude regarding research during an introductory course at an institute for primary teacher education. Questionnaires and concept maps were administered before and after the course. The results showed that student teachers’ knowledge about research grew during the introductory course and that their positive beliefs about research became more positive, while their negative beliefs about research decreased. A positive change was found concerning the attractiveness of research to student teachers. Furthermore, student teachers’ self-efficacy regarding research appeared related to their beliefs and attitude: the more the student teachers were convinced of their abilities to conduct and use the results of research after the course, the more positive their beliefs and their attitude regarding research were. This study provides guidelines for institutes for teacher education on integrating research activities into their curricula, so that their student teachers develop research knowledge and positive beliefs and attitudes towards research.     

Phonological Processing and Word Reading in Typically Developing and Reading Disabled Children: Severity Matters

In this study word reading (WR) fluency was used to dichotomously classify 1,598 Dutch children at different cutoffs, indicating (very) poor or (very) good reading performance. Analysis of variance and receiver operating characteristics were used to investigate the effects of rapid automatized naming (RAN) and phonemic awareness (PA) in predicting group membership. The highest predictive values were found for the combination of RAN and PA, particularly for the poorest readers. Furthermore, results indicate that with the severity of impairment, WR is more dominated by deficient PA, which is interpreted as an enduring problem with sublexical processing. Another main result is that with the increase of reading skill, the contribution of PA diminishes, whereas the contribution of RAN remains fairly constant for the whole reading fluency continuum. These results warrant the conclusion that whereas PA hallmarks reading disability, RAN appears to be the default predictor for above-average or excellent reading proficiency.     

Developmental Changes in the Relations Between RAN,Phonological Awareness,and Reading in Spanish Children

We examined the developmental relations of phonological awareness (PA) and rapid automatized naming (RAN) with reading in a cross-sectional study with 874 Spanish children from Grades 2 to 6. Our main prediction was that the RAN–reading relationship would decrease due to a gradual change in reading strategy, from serial decoding to sight word reading. Therefore, in contrast to most previous studies, we used discrete reading tasks. Serial RAN tasks for objects, colors, digits, and letters were included. First, we examined whether the RAN tasks loaded on the same constructs across time. An alphanumeric and a nonalphanumeric factor were identified, which were invariant over time. In subsequent multigroup structural equation models we found that the PA–reading relationship was low but slightly increased in the higher grades. As predicted, the RAN–reading relationship decreased for words, whereas the relationship remained stable for pseudowords.     

Automatic thematic classification of election manifestos

We digitized three years of Dutch election manifestos annotated by the Dutch political scientist Isaac Lipschits. We used these data to train a classifier that can automatically label new, unseen election manifestos with themes. Having the manifestos in a uniform XML format with all paragraphs annotated with their themes has advantages for both electronic publishing of the data and diachronic comparative data analysis. The data that we created will be disclosed to the public through a search interface. This means that it will be possible to query the data and filter them on themes and parties. We optimized the Lipschits classifier on the task of classifying election manifestos using models trained on earlier years. We built a classifier that is suited for classifying election manifestos from 2002 onwards using the data from the 1980s and 1990s. We evaluated the results by having a domain expert manually assess a sample of the classified data. We found that our automatic classifier obtains the same precision as a human classifier on unseen data. Its recall could be improved by extending the set of themes with newly emerged themes. Thus when using old political texts to classify new texts, work is needed to link and expand the set of themes to newer topics.     

Students’ perceptions of career conversations with their teachers

Internationally, schools acknowledge their responsibility in guiding students not only in their academic growth, but also in their lifelong career development. In relation to this development, vocational schools in the Netherlands are implementing integral career guidance in which teachers receive a new task in guiding students in developing their own learning and career paths. A questionnaire was developed to investigate students’ perceptions of career guidance by teachers during career conversations, and data involving 28 teachers were collected from 579 students. The study identified four different teacher guidance profiles. Remarkable is that teachers spoke very little about career issues, and school issues were mostly on the agenda. The results indicate that teachers struggle with the transition towards becoming a career guide of students, and aspects influencing the transition into this new role need to be considered.