Search results for "TEST"

Fostering aspects of pre-service teachers’ data literacy: Results of a randomized controlled trial

2020

Abstract The present study reports the results of a randomized controlled trial aimed at fostering specific aspects of pre-service teachers’ data literacy. The 6-h intervention focused on data types, reference norms, scale transformations, graphic displays of the properties of frequency distributions, and judgments about the magnitude of mean differences. Pretest-posttest comparisons of a data literacy test showed a large and significant effect of the intervention. Furthermore, main effects but no significant interaction effects with pretest scores were found for personal and motivational covariates (academic self-concept, value beliefs, study interest) on posttest data literacy.

Further Evidence for Criterion Validity and Measurement Invariance of the Luxembourg Workplace Mobbing Scale

2020

Abstract. Workplace mobbing has various negative consequences for targeted individuals and are costly to organizations. At present it is debated whether gender, age, or occupation are potential risk factors. However, empirical data remain inconclusive as measures of workplace mobbing so far lack of measurement invariance (MI) testing – a prerequisite for meaningful manifest between-group comparisons. To close this research gap, the present study sought to further elucidate MI of the recently developed brief Luxembourg Workplace Mobbing Scale (LWMS; Steffgen, Sischka, Schmidt, Kohl, & Happ, 2016 ) across gender, age, and occupational groups and to test whether these factors represent im…

2020

To validly assess teachers’ pedagogical content knowledge (PCK), performance-based tasks with open-response formats are required. Automated scoring is considered an appropriate ap-proach to reduce the resource-intensity of human scoring and to achieve more consistent scor-ing results than human raters. The focus is on the comparability of human and automated scor-ing of PCK for economics teachers. The answers of (prospective) teachers (N=852) to six open-response tasks from a standardized and validated test were scored by two trained human raters and the engine "Educational SCoRIng TOolkit" (ESCRITO). The average agreement between human and computer ratings, κw = .66, suggests a convergent …

Efectos organizacionales y activacionales de la testosterona sobre la asunción de riesgos en conductas económicas: una revisión sistemática

2017

Resumen El objetivo de esta revision sistematica es evaluar la influencia de la testosterona circulante (efectos activacionales) y de la exposicion prenatal a ella (efectos organizacionales) sobre la asuncion de riesgos en conductas economicas, evaluando los trabajos de investigacion existentes hasta la fecha acerca de la tematica. La base bibliografica analizada se obtuvo de distintas bases de datos especializadas en el ambito de la psicologia y las neurociencias. Los resultados obtenidos concluyen en una relacion contrastada entre la testosterona circulante y la asuncion de riesgo financiero. En lo referente a la exposicion prenatal se evidencia un estado inmaduro de la investigacion sobr…

Cell state prediction through distributed estimation of transmit power

2019

Determining the state of each cell, for instance, cell outages, in a densely deployed cellular network is a difficult problem. Several prior studies have used minimization of drive test (MDT) reports to detect cell outages. In this paper, we propose a two step process. First, using the MDT reports, we estimate the serving base station’s transmit power for each user. Second, we learn summary statistics of estimated transmit power for various networks states and use these to classify the network state on test data. Our approach is able to achieve an accuracy of 96% on an NS-3 simulation dataset. Decision tree, random forest and SVM classifiers were able to achieve a classification accuracy of…

Using English as the Language of Science

2021

This article presents the development and testing of a content-based video exchange model as a motivating means to introduce lower secondary English learners to English as the language of science. The central goal was that students reach the required curricular content knowledge despite learning some of the content in a foreign language. The model was tested in German seventh-grade classes (n = 133), in which the students communicated with U.S. eighth-graders on the topic of ecology. Following field trips to a forest and a desert ecosystem, students presented and compared biotic and abiotic data in videos. The German students’ content knowledge and their motivation were assessed in a pretes…

Deep neural attention-based model for the evaluation of italian sentences complexity

2020

In this paper, the Automatic Text Complexity Evaluation problem is modeled as a binary classification task tackled by a Neural Network based system. It exploits Recurrent Neural Units and the Attention mechanism to measure the complexity of sentences written in the Italian language. An accurate test phase has been carried out, and the system has been compared with state-of-art tools that tackle the same problem. The computed performances proof the model suitability to evaluate sentence complexity improving the results achieved by other state-of-the-art systems.

Validity and fairness of a new entry diagnostics test in higher education economics

2020

Abstract Research has been focusing increasingly on measuring students’ prior economic knowledge in higher education. However, in German-speaking countries, valid instruments are rare. A diagnostic study investigated the validity and fairness of an internationally established economic knowledge test (adapted German version of TUCE IV and TEL IV) with a representative sample of 7664 students from 46 universities across Germany. Previous findings with the dataset ( Zlatkin-Troitschanskaia et al., 2019a ) suggest that native language significantly predicts missing answers in the knowledge test. Similar effects can be found for gender. After coding missing answers as incorrect, students with a …

Recognising mitigation: Three tests for its identification

2020

Abstract Linguistic mitigation is a pragmatic phenomenon that has been profusely treated in the literature, and yet there are few studies dedicated exclusively to offering methodological criteria for its recognition and analysis (but see Albelda, 2010 and Albelda et al., 2014). Consequently, the researcher must infer the methods for its recognition through problems arising during the analysis or through the examples and reflections offered by the authors who have addressed the issue. The purpose of this article is twofold. Firstly, to present some of the main keys for the recognition of mitigation presented by the bibliography, such as the catalogues of mitigation devices, the context, the …

University students’ learning approaches : An adaptation of the revised two-factor study process questionnaire to Norwegian

2020

This paper reports a Norwegian validation study of a widely used instrument to measure students’ approaches to learning, namely, Bigg’s revised two-factor study process questionnaire (R-SPQ-2F). Its cultural sensitivity and psychometry evaluations have provoked rigorous discussion among educators in different languages. A survey design was adopted involving 253 undergraduate engineering students across two universities. Confirmatory factor analyses were used to test six models hypothesized to reflect the factor structures of R-SPQ-2F and unidimensionality of its subscales. The results showed appropriate fits of a two-factor first-order model with 10 items measuring deep approach and 9 items…