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Päivi H. Taskinen Jochen Steimel Linda Gräfe Sebastian Engell Andreas Frey 《Peabody Journal of Education》2013,88(4):477-490
This study examined students’ competencies in engineering education at the university level. First, we developed a competency model in one specific field of engineering: process dynamics and control. Then, the theoretical model was used as a frame to construct test items to measure students’ competencies comprehensively. In the empirical application, the reliability of the test was examined. The results confirmed the applicability of the theory-based test. Also, associations between students’ competencies and individual characteristics were explored. Students who showed higher competencies could be identified based on their individual characteristics, such as participation in self-assessments. Finally, we demonstrated how to apply the standards of theory-based testing to everyday routines at the university and also highlighted some challenging issues to be considered when implementing theory-based testing in practice. This approach could be valuable: Tests based on theoretically sound models allow for appropriate measurement of students’ competencies in higher education. 相似文献
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Sebastian Modrow 《International Information and Library Review》2018,50(2):129-141
In this article, I survey the Onondaga Nation's social media outlets in the light of collective memory theory. The article identifies several core topics of the nation's identity narratives which, all together, are perceived as an expression of Onondaga functional memory. The role of wampum belts as medial cues to that memory is highlighted as well as the role of social media in the struggle against the negative effects of native media invisibility. 相似文献
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Niklas Brown Sebastian Bichler Meike Fiedler Wilfried Alt 《Sports biomechanics / International Society of Biomechanics in Sports》2016,15(2):139-150
Detection of neuro-muscular fatigue in strength training is difficult, due to missing criterion measures and the complexity of fatigue. Thus, a variety of methods are used to determine fatigue. The aim of this study was to use a principal component analysis (PCA) on a multifactorial data-set based on kinematic measurements to determine fatigue. Twenty participants (strength training experienced, 60% male) executed 3 sets of 3 exercises with 50 (12 repetitions), 75 (12 repetitions) and 100%-12 RM (RM). Data were collected with a 3D accelerometer and analysed by a newly developed algorithm to evaluate parameters for each repetition. A PCA with six variables was carried out on the results. A fatigue factor was computed based on the loadings on the first component. One-way ANOVA with Bonferroni post hoc analysis was calculated to test for differences between the intensity levels. All six input variables had high loadings on the first component. The ANOVA showed a significant difference between intensities (p < 0.001). Post-hoc analysis revealed a difference between 100% and the lower intensities (p < 0.05) and no difference between 50 and 75%-12RM. Based on these results, it is possible to distinguish between fatigued and non-fatigued sets of strength training. 相似文献
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