Dynamische Probleml?sekompetenz

This article is about the importance and validity of dynamic problem solving (DPS) in predicting technical problem solving performances. In addition to DPS, fluid intelligence and technical knowledge were included in the study. Assessing DPS and fluid intelligence simultaneously also allowed for testing the empirical distinction between both constructs. Results are based on data of a sample of car mechatronics (n?=?129) and electronics technicians (n?=?88) and showed that DPS and fluid intelligence were empirically separable. In the first sample (electronics technicians) DPS explained technical problem solving performance best, although fluid intelligence showed incremental validity too. In the second sample (car mechatronics) fluid intelligence was weakly related to the criterion whereas DPS was not at all. When technical knowledge was added to the prediction, both DPS and fluid intelligence did not predict technical problem solving performance. However, in the sample of the electronics technicians fluid intelligence indirectly affected the criterion through technical knowledge. A discussion of the somewhat contradictory results, the different results patterns in the two samples and a theoretical explanation of the results are provided.     

“You can't make this a science!” — Analyzing decision support systems in political contexts

This paper reports on problems and conflicts encountered when using decision support systems (DSS) in political contexts. Based on a literature study and two case studies we describe problems encountered in relation not only to the DSS itself, but also to the political decision process. The case studies have been carried out in two cities in Sweden that at different times but in similar situations have used DSS in order to reach a decision in complicated and contested matters. In both cases we have previously found that the method and IT tool used for decision analysis were appreciated by most participants, but the inherent rationality of the DSS was in conflict with how participants usually make decisions as well as with the political process. The assumption was that a strict and open method would make grounds for clear decisions, but the results of the decision process were none of the cases implemented. In one case the result of the decision analysis was that no clear decision was made. In the other case the lowest ranked alternative was implemented. Furthermore, in neither city the method was ever used again. We therefore ask: What are the challenges and limitations to using DSS in political contexts? Our study shows that challenges relate to selecting and using criteria; eliciting weights for criteria (high level of subjectivity); understanding all the amount of facts available in the system; time constraints; and lack of impact on the final decision. This study contributes to both research and practice by increasing the understanding of what challenges are experienced in DSS use, since the findings can be used as a framework of challenges that should be addressed, in design of systems as well as method for use. The study also contributes to understanding the role of politicians in decision-making and the consequences for the use of DSS. Further, the literature study showed that there are overall very few studies on the actual use of DSS in a political context, and we therefore conclude by encouraging more studies reporting actual use.     

技术和职业教育与培训教师教育:追求创新与卓越

为了促进技术和职业教育与培训教师教育更好的发展，我们需要创新。在欧盟委员会，进入21世纪以来，就开始为技术和职业教育与培训建立共同的政策框架。     

Computer-based assessment of Complex Problem Solving: concept, implementation, and application

Complex Problem Solving (CPS) skills are essential to successfully deal with environments that change dynamically and involve a large number of interconnected and partially unknown causal influences. The increasing importance of such skills in the 21st century requires appropriate assessment and intervention methods, which in turn rely on adequate item construction, delivery, and scoring. The lack of assessment tools, however, has slowed down research on and understanding of CPS. This paper first presents the MicroDYN framework for assessing CPS, which is based on linear structural equation systems with input and output variables and opaque relations among them. Second, a versatile assessment platform, the CBA Item Builder, which allows the authoring, delivery, and scoring of CPS tasks for scientific and educational purposes is introduced. Third, we demonstrate the potential of such a tool for research by reporting an experimental study illustrating the effect of domain specific content knowledge on performance in CPS tasks both on an overall performance and on a process level. The importance of accessible and versatile technical platforms not only for assessment and research but also for intervention and learning are discussed with a particular focus on educational contexts.     

Knowledge Construction in Wikipedia: A Systemic-Constructivist Analysis

We propose a systemic-constructivist perspective for analyzing knowledge construction. In contrast to theories that focus on individuals as actors, the systemic-constructivist approach emphasizes the relevance of social systems and regards the construction of knowledge as a self-referential process that takes place in social systems. We propose that it is the system that defines what is accepted as legitimate knowledge and thus shapes individuals’ behavior. We present this approach and its implications by providing a case study of knowledge construction in Wikipedia. We analyzed the article about the Fukushima Daiichi nuclear power plant shortly after the nuclear catastrophe unfolded. There was a flood of highly uncertain information circulating, which the social system Wikipedia had to deal with and make meaning of. We obtained a group of very diverse people who largely lacked specific background education on the topic but accomplished the collaborative creation of an article that was later considered by experts to be of high quality. By interpreting these occurrences as operations of a social system, we aim to extend the theoretical basis of the learning sciences with an approach that emphasizes systems and their structures instead of individuals or groups. We discuss how this perspective may contribute to understanding collaborative knowledge construction.     

Integrating self-regulation in whole-class reciprocal teaching: A moderator–mediator analysis of incremental effects on fifth graders’ reading comprehension

In this classroom intervention study, reciprocal teaching (RT) of reading strategies was combined with explicit instruction in self-regulated learning (SRL) to promote the reading comprehension of fifth-grade students (N = 306). Twelve intact classes were randomly assigned either to an RT + SRL condition or to an RT condition without explicit instruction in self-regulation. Three additional classes served as a no-treatment comparison group. Strategies instruction was delivered by trained assistants in conventional German language lessons. Students practiced the application of these strategies in small groups. Both at posttest and at maintenance (8 weeks after the intervention), students in the two intervention conditions (RT and RT + SRL) outperformed comparison students in measures of reading comprehension, strategy-related task performance, and self-efficacy for reading. Relative to RT students, students in the RT + SRL condition were better able to maintain training-induced performance gains over the follow-up interval. A moderated mediation analysis revealed that this difference in the sustainability of the two treatments was (a) mediated by the successful mastery of the learned strategies and (b) most evident among students with poor reading fluency skills.     

A path analytic test of the reading strategies mediation model: Relating cognitive competences and motivational influences to individual differences in fifth-grade students' reading comprehension

This study examined a theoretical model hypothesizing that reading strategies mediate the effects of intrinsic reading motivation, reading fluency, and vocabulary knowledge on reading comprehension. Using path analytic methods, we tested the direct and indirect effects specified in the hypothesized model in a sample of 1105 fifth-graders. In addition to standardized tests and questionnaires, we administered a performance test to assess students' proficiency in the application of three reading strategies. The overall fit of the model to the data was good. Both cognitive (fluency and vocabulary) and motivational (intrinsic reading motivation) variables had an indirect effect on reading comprehension through their influence on reading strategies. Reading strategies had a unique effect on reading comprehension and partially mediated the effects that cognitive and motivational variables had on fifth-graders' reading achievements.     

Perfectionism and training distress in junior athletes: a longitudinal investigation

Perfectionistic athletes may train harder and for longer than non-perfectionistic athletes, leaving them susceptible to elevated levels of training distress. So far, however, no study has investigated the relationships between perfectionism and training distress, a key indicator of overtraining syndrome. Furthermore, no study has determined psychological predictors of overtraining syndrome. Using a two-wave design, the present study examined perfectionistic strivings, perfectionistic concerns and training distress in 141 junior athletes (mean age = 17.3 years, range = 16–19 years) over 3 months of active training. Multiple regression analyses were employed to test cross-sectional and longitudinal relationships between perfectionism and training distress. In all analyses, perfectionism emerged as a significant predictor, but strivings and concerns showed differential relationships. When the cross-sectional relationships were regarded, perfectionistic concerns positively predicted training distress (P < .001), whereas perfectionistic strivings negatively predicted training distress (P < .01). When the longitudinal relationships were regarded, only perfectionistic concerns predicted increases in training distress (P < .05), whereas perfectionistic strivings did not (P > .05). The findings suggest that sports scientists who wish to identify athletes at risk of overtraining syndrome may monitor athletes’ perfectionistic concerns as a possible risk factor.