scholarly journals Do teachers’ cultural beliefs matter for students’ school adaptation? A multilevel analysis of students’ academic achievement and psychological school adjustment

2021 ◽  
Author(s):  
Kristin Schotte ◽  
Camilla Rjosk ◽  
Aileen Edele ◽  
Axinja Hachfeld ◽  
Petra Stanat
Keyword(s):  
Academic Achievement ◽  
Large Scale ◽  
Immigrant Students ◽  
School Adjustment ◽  
Cultural Beliefs ◽  
German Language ◽  
School Adaptation ◽  
Language Classes ◽  
And Mathematics ◽  
Relationship Of

AbstractBased on two large-scale studies from Germany, we examined how different types of teachers’ cultural beliefs are related to immigrant students’ school adaptation. Specifically, we investigated the relationship of teachers' multicultural beliefs appreciating cultural diversity, their egalitarian beliefs focusing on all students' similarities and their assimilationist beliefs that immigrant students should conform to the mainstream context with immigrant students' academic achievement and psychological school adjustment as indicators of their school adaptation. We also explored all of these associations for non-immigrant students. Study 1 used data on the multicultural, egalitarian, and assimilationist beliefs of German language (NTeachers = 220) and mathematics (NTeachers = 245) teachers and on students’ achievement and feelings of helplessness in German language classes (NStudents = 2606) and mathematics classes (NStudents = 2851) as well as students’ school satisfaction. Study 2 analyzed data on teachers’ multicultural and egalitarian beliefs (NTeachers = 456) and students’ achievement and self-concept in mathematics (NStudents = 4722). Overall, multilevel analyses revealed no relationship between teachers’ cultural beliefs and any of the indicators of immigrant and non-immigrant students’ school adaptation. These findings challenge the notion that overall, teachers’ cultural beliefs effectively translate into students’ school adaptation.

The association between physical fitness and mathematics scores in elementary schools in Indonesia

2020 ◽  
Vol 42 (3) ◽  
pp. 70-77
Author(s):  
Dinar Dinangsit ◽  
Tatang Muhtar ◽  
Yogi Akin
Keyword(s):  
Academic Achievement ◽  
Physical Education ◽  
Physical Fitness ◽  
School Curriculum ◽  
Current Approach ◽  
Physical Fitness Test ◽  
Major Barrier ◽  
Mathematics Scores ◽  
Test Items ◽  
And Mathematics

A continual pressure within the educational system in Indonesia to focus on high levels of academic achievement is a major barrier to implementing an effective physical education curriculum in Indonesia. The conflict between the implementation of a movement based approach (MBA) and a sport based approach (SBA) presents another continuing problem. The current approach leads more to an orientation towards the acquisition of sport skills rather than the attainment of objectives of cognitive development. This study is aimed to reveal the association between the physical fitness and academic achievement of children in Sumedang, West Java. Four physical fitness test items and a specially constructed mathematics test were administered to 265 children from grades four and five. The ability of performance on the physical fitness tests to predict performance in mathematics was calculated by linear multipleregression analysis. The findings revealed that there was a significant association, although low, between the physical fitness components and mathematics achievement. Sit ups and squat jumps showed low partial correlations and the relationships for push ups and the 400 metre run were negative Limitations in the ability of the children to perform the tests were suggested as an explanation for the mixed results. It was argued that this weakness served to emphasise the importance of giving greater priority to physical education and the quality of its teaching within the school curriculum.

First grammar books in the Habsburg Monarchy: individual initiative and regulatory interference by the state (1760s–1770s)

2020 ◽  
Vol 2019 (2 (11)) ◽  
pp. 137-157
Author(s):  
Olga V. Khavanova ◽  
Keyword(s):  
Eighteenth Century ◽  
State Policy ◽  
Large Scale ◽  
Language Use ◽  
Linguistic Diversity ◽  
Mother Tongue ◽  
German Language ◽  
Habsburg Monarchy ◽  
Private Initiative ◽  
The One

The second half of the eighteenth century in the lands under the sceptre of the House of Austria was a period of development of a language policy addressing the ethno-linguistic diversity of the monarchy’s subjects. On the one hand, the sphere of use of the German language was becoming wider, embracing more and more segments of administration, education, and culture. On the other hand, the authorities were perfectly aware of the fact that communication in the languages and vernaculars of the nationalities living in the Austrian Monarchy was one of the principal instruments of spreading decrees and announcements from the central and local authorities to the less-educated strata of the population. Consequently, a large-scale reform of primary education was launched, aimed at making the whole population literate, regardless of social status, nationality (mother tongue), or confession. In parallel with the centrally coordinated state policy of education and language-use, subjects-both language experts and amateur polyglots-joined the process of writing grammar books, which were intended to ease communication between the different nationalities of the Habsburg lands. This article considers some examples of such editions with primary attention given to the correlation between private initiative and governmental policies, mechanisms of verifying the textbooks to be published, their content, and their potential readers. This paper demonstrates that for grammar-book authors, it was very important to be integrated into the patronage networks at the court and in administrative bodies and stresses that the Vienna court controlled the process of selection and financing of grammar books to be published depending on their quality and ability to satisfy the aims and goals of state policy.

scholarly journals Task Monitoring and Working Memory as Executive Components Predictive of General and Specific Academic Achievements in 6–9-Year-Old Children

2021 ◽  
Vol 18 (13) ◽  
pp. 6681
Author(s):  
Alberto Quílez-Robres ◽  
Nieves Moyano ◽  
Alejandra Cortés-Pascual
Keyword(s):  
Academic Achievement ◽  
Working Memory ◽  
Academic Performance ◽  
Executive Functions ◽  
Language Arts ◽  
Memory Task ◽  
Academic Achievements ◽  
Predictive Role ◽  
And Mathematics ◽  
The Relationship

Academic achievement has been linked to executive functions. However, it is necessary to clarify the different predictive role that executive functions have on general and specific academic achievement and to determine the most predictive executive factor of this academic achievement. The relationship and predictive role between executive functions and their components (initiative, working memory, task monitoring, organization of materials, flexibility, emotional control, inhibition, self-monitoring) with academic achievement are analyzed in this study, both globally and specifically in the areas of Language Arts and Mathematics, in 133 students from 6 to 9 years of age. The relationship obtained in Pearson’s correlation analysis does not differ substantially between overall achievement (r = 0.392) and specific achievement (r = 0.361, r = 0.361), but task monitoring (r = 0.531, r = 0.455, r = 0.446) and working memory (r = 0.512, r = 0.475, r = 0.505) had a greater relationship with general and specific achievement. Finally, regression analyses based on correlation results indicate that executive functions predict general academic performance (14.7%) and specific performance (12.3%, 12.2%) for Language Arts and Mathematics, respectively. Furthermore, working memory and task supervision represent 32.5% of general academic performance, 25.5% of performance in Language Arts, and 27.1% of performance in Mathematics. In conclusion, this study yielded exploratory data on the possible executive functions (task supervision and working memory) responsible for good general academic achievements and specific academic achievements in Mathematics and Language Arts.

scholarly journals Geo-Spatial Analysis of Population Density and Annual Income to Identify Large-Scale Socio-Demographic Disparities

2021 ◽  
Vol 10 (7) ◽  
pp. 432
Author(s):  
Nicolai Moos ◽  
Carsten Juergens ◽  
Andreas P. Redecker
Keyword(s):  
Population Density ◽  
Large Scale ◽  
Methodological Approach ◽  
Spatial Relationship ◽  
Postal Code ◽  
Annual Income ◽  
Choropleth Maps ◽  
Clustering Approach ◽  
Relationship Of ◽  
Insight Into

This paper describes a methodological approach that is able to analyse socio-demographic and -economic data in large-scale spatial detail. Based on the two variables, population density and annual income, one investigates the spatial relationship of these variables to identify locations of imbalance or disparities assisted by bivariate choropleth maps. The aim is to gain a deeper insight into spatial components of socioeconomic nexuses, such as the relationships between the two variables, especially for high-resolution spatial units. The used methodology is able to assist political decision-making, target group advertising in the field of geo-marketing and for the site searches of new shop locations, as well as further socioeconomic research and urban planning. The developed methodology was tested in a national case study in Germany and is easily transferrable to other countries with comparable datasets. The analysis was carried out utilising data about population density and average annual income linked to spatially referenced polygons of postal codes. These were disaggregated initially via a readapted three-class dasymetric mapping approach and allocated to large-scale city block polygons. Univariate and bivariate choropleth maps generated from the resulting datasets were then used to identify and compare spatial economic disparities for a study area in North Rhine-Westphalia (NRW), Germany. Subsequently, based on these variables, a multivariate clustering approach was conducted for a demonstration area in Dortmund. In the result, it was obvious that the spatially disaggregated data allow more detailed insight into spatial patterns of socioeconomic attributes than the coarser data related to postal code polygons.

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