scholarly journals Getting the Teacher’s Attention: Parent-Teacher Contact and Teachers’ Behavior in the Classroom

Social Forces ◽  
2020 ◽  
Vol 99 (2) ◽  
pp. 560-589 ◽  
Author(s):  
Natalie A E Young
Keyword(s):  
Academic Success ◽  
Social Class ◽  
Parental Involvement ◽  
Conceptual Model ◽  
Student Performance ◽  
Social Reproduction ◽  
Student Behavior ◽  
Educational Inequality ◽  
Family Background ◽  
School Students

Abstract Studies suggest that both parental involvement and support from teachers matter for students’ academic success. Although cross-national research has revealed numerous ways in which parents shape the schooling process, less clear is whether parental involvement at school can influence teachers’ daily behavior toward students in class. In this study, I draw on data from the China Education Panel Survey (CEPS)—a nationally representative survey of Chinese middle-school students with unusually detailed information on parental involvement and teachers’ daily behaviors—to test a conceptual model that proposes a link between parent-teacher contact in China and attention students receive from teachers during daily lessons. In support of the conceptual model, I find that students whose parents cultivate relationships with teachers through frequent contact are more likely to be cold-called on and praised by teachers in class, even after controlling for family background, student academic performance, and student behavior. Moreover, I observe social class differences in parent-teacher contact, as well as some evidence that parent-teacher contact is linked to improved student performance through its impact on teachers’ attention. Overall, the findings point to a potential new pathway through which social class influences schooling by way of school-based parental involvement and in a broader set of contexts than previously imagined. I conclude with a discussion of implications for social reproduction theory, as well as challenges this situation presents for combatting educational inequality.

scholarly journals PARENTAL INVOLVEMENT OF INDONESIAN SENIOR HIGH STUDENTS: CONTRIBUTION TOWARDS ACADEMIC SUCCESS

2018 ◽  
Vol 3 (1) ◽  
pp. 30-50
Author(s):  
Fathor Rasyid
Keyword(s):  
High School ◽  
High School Students ◽  
Academic Success ◽  
Parental Involvement ◽  
Significant Contribution ◽  
Family Background ◽  
Learning Opportunities ◽  
Senior High School ◽  
School Students ◽  
Senior High School Students

The research was carried out to investigate whether there was any significant contribution of family background and parental involvement towards students’ achievement, and which spesific parental involvement aspects best predict students English performance. To this end, English test was administered to Indonesian senior high school students (n= 222), and questionnaire was to their parents.Path analysis with smartPLS was utilized to analyze the data. The results revealed that the contribution of family background towards parental involvement is significant. However, there are no significant contributions of parental involvement and family background towards students’ achievement. No significant contribution is also found between family background and students’ achievement through intermediary variable of parental involvement. Other finding indicated that parents’ aspiration and expectation along with enhancing learning opportunities at home had the strongest effects on students’ achievement.

scholarly journals Educational Upward Mobility. Practices of Social Changes--Research on Social Mobility and Educational Inequality

2020 ◽  
Vol 8 (3) ◽  
pp. 25
Author(s):  
Mei-ling Lin
Keyword(s):  
Social Mobility ◽  
Social Reproduction ◽  
Upward Mobility ◽  
Educational Inequality ◽  
Family Background ◽  
Social Situation ◽  
Income Poverty ◽  
Occupational Position ◽  
Social Prestige ◽  
Symbolic Domination

Social class is defined by the possession of all forms of economic capital, cultural capital and social capital which together shape the kinds of experience and lifestyles. This process is dubbed symbolic violence by Pierre Bourdieu. Education is crucially linked to assets such as income, occupational position and social prestige. Educational upward mobility requires more than individual effort and intelligence, and sometimes different ingredients, such as specific social conditions. The different dimensions of inequality—income, poverty, social exclusion, education and social mobility—are interconnected. The paper has been inspired by Bourdieu’s work on symbolic domination and capitals, and lifestyles. The author identifies a persistence of inequalities among the students due to social reproduction mechanisms: family background and parents’ social situation have a substantial influence on the life chances. The empirical data of this study come from a survey in 2019. The paper ends with a summary of findings and conclusions.

scholarly journals Parental Involvement and Educational Achievement of South Korean High School Students

2019 ◽  
Vol 3 (3) ◽  
pp. 62-87
Author(s):  
Sera An ◽  
Kammila Naidoo
Keyword(s):  
Social Capital ◽  
High School Students ◽  
Parental Involvement ◽  
South Korea ◽  
Educational Achievement ◽  
Family Background ◽  
School Students ◽  
South Korean ◽  
Education Fever ◽  
Analytical Tools

Over the past few decades, South Korea, as a rapidly transforming society, has witnessed a massive drive for educational credentials. Some scholars suggest that South Korea has been gripped by an education fever that is leading to huge investments of economic and social capital to further young people’s educational interests. This article refers to a study of three high-achieving South Korean schools. Through the conducting of a survey among 206 school students, 71 teachers and 254 parents, the study aimed to identify the key factors deemed to be responsible for high educational achievement in the schools. Social capital and its physical, relational, structural, and cognitive dimensions presented the conceptual and analytical tools of the study. The findings suggest, after all dimensions are considered, that familial social capital and the nature of parental involvement are most definitive for students’ success. In this sense there is correspondence with James Coleman’s views on the importance of family background as significant in determining how students ultimately perform. However, there is also an indication that mothers and fathers involve themselves differently – and that boarding school students benefit from retaining some distance away from family. The article concludes by offering a set of general recommendations useful for policy-makers in any society seeking to enhance students’ educational achievements. 

scholarly journals Are Social and Ethnic Reading Inequalities Increasing During School Closures?—The Mediating Role of Parental Involvement in Distance Learning

2021 ◽  
Vol 6 ◽  
Author(s):  
Christoph Weber ◽  
Christoph Helm ◽  
David Kemethofer
Keyword(s):  
Distance Learning ◽  
Reading Achievement ◽  
Parental Involvement ◽  
Low Socioeconomic Status ◽  
Family Background ◽  
Ethnic Disparities ◽  
Learning Gains ◽  
School Students ◽  
School Closures ◽  
Mediating Role

From spring 2020 many countries throughout Europe and beyond temporarily closed schools to tackle the spread of the coronavirus. First studies indicate that these school closures resulted in lower learning gains compared to learning gains in preceding years and widened social and ethnic disparities by affecting disadvantaged students more strongly than their more advantaged peers. Moreover, during school closures, parental involvement in distance learning is regarded as crucial for successful learning, especially for younger children. In the current study, we examine whether social and ethnic disparities in the reading achievement of primary school students widened during COVID-related school closures in spring 2020 and whether increased disparities are mediated by parental involvement in distance learning. We use data from 409 Austrian 2nd graders, whose teachers participated in an ongoing study on the use of learning progress assessment. Adopting a within-subject design, we first compare the effects of social and ethnic family background on reading achievement during a pre-lockdown period with the respective effects during a lockdown period of similar length. Controlling for pre-lockdown reading differences, we found that low socioeconomic status and non-German language use at home negatively predicted post-lockdown reading achievement, indicating that post-lockdown disparities were larger than expected due to disparities at pre-lockdown. In contrast, we found no such effects during the pre-lockdown period. Second, a series of mediation models did not provide any support for the hypothesis that parental involvement accounted for family background effects on reading achievement during the lockdown period.

Social Influences - a Psychological Phenomenon in the Choice of Further Course of Education and Career

2015 ◽  
Vol 5 (2) ◽  
pp. 32-53
Author(s):  
Petr Hlaďo
Keyword(s):  
Secondary School ◽  
Family Background ◽  
Social Influences ◽  
Compulsory Schooling ◽  
Lower Secondary School ◽  
Main Attention ◽  
School Students ◽  
Research Papers ◽  
Psychological Phenomenon ◽  
Research Findings

The aim of this overview study is to synthesize Czech, Slovak and foreign empirical findings on the choice of further course of education and career. Attention is focused specifically on social influences as a psychological phenomenon affecting this decision-making process in lower secondary school students at the end of compulsory schooling. The main attention is paid to the roles of parents and family, particularly the influence of family background and family processes. Another issue is the influence of peers, teachers and career counsellors on the choice of further course of education and career. The synthesis of research findings is based primarily on an analysis of research papers published in journals.

scholarly journals Predicting Student Performance Using Data Mining and Learning Analytics Techniques: A Systematic Literature Review

2020 ◽  
Vol 11 (1) ◽  
pp. 237
Author(s):  
Abdallah Namoun ◽  
Abdullah Alshanqiti
Keyword(s):  
Academic Success ◽  
Student Learning ◽  
Learning Outcomes ◽  
Student Performance ◽  
Student Outcomes ◽  
Predictive Analytics ◽  
Research Work ◽  
Supervised Machine Learning ◽  
Bibliographic Databases ◽  
Learning And Teaching

The prediction of student academic performance has drawn considerable attention in education. However, although the learning outcomes are believed to improve learning and teaching, prognosticating the attainment of student outcomes remains underexplored. A decade of research work conducted between 2010 and November 2020 was surveyed to present a fundamental understanding of the intelligent techniques used for the prediction of student performance, where academic success is strictly measured using student learning outcomes. The electronic bibliographic databases searched include ACM, IEEE Xplore, Google Scholar, Science Direct, Scopus, Springer, and Web of Science. Eventually, we synthesized and analyzed a total of 62 relevant papers with a focus on three perspectives, (1) the forms in which the learning outcomes are predicted, (2) the predictive analytics models developed to forecast student learning, and (3) the dominant factors impacting student outcomes. The best practices for conducting systematic literature reviews, e.g., PICO and PRISMA, were applied to synthesize and report the main results. The attainment of learning outcomes was measured mainly as performance class standings (i.e., ranks) and achievement scores (i.e., grades). Regression and supervised machine learning models were frequently employed to classify student performance. Finally, student online learning activities, term assessment grades, and student academic emotions were the most evident predictors of learning outcomes. We conclude the survey by highlighting some major research challenges and suggesting a summary of significant recommendations to motivate future works in this field.

Do primary school libraries affect teenagers’ attitudes towards leisure reading?

IFLA Journal ◽  
2021 ◽  
pp. 034003522098335
Author(s):  
Pamela McKirdy
Keyword(s):  
High School ◽  
Primary School ◽  
Family Background ◽  
School Libraries ◽  
First Year ◽  
Noisy Environments ◽  
Primary School Students ◽  
School Students ◽  
Leisure Reading ◽  
Reading For Pleasure

This study explores how New Zealand primary school students’ experiences of school libraries affected their attitudes towards reading for pleasure once they entered secondary school. Two hundred and seventy-six students in their first year at high school completed a survey asking about their primary school libraries. The students were asked to self-identify as keen readers, occasional readers or non-readers. The results were analysed in a spreadsheet, considering variables such as attitude to reading, former school and family background. The students were mainly positive about their libraries, but were bothered by cramped and noisy environments and books they perceived as babyish. Students from schools with a librarian were more positive about reading for fun than those from schools where the library was not prioritised. Students from a family background where reading was encouraged were more likely to maintain a positive attitude to reading by the time they reached high school.

Preparing Paraprofessionals to Become Teachers: A Study Examining the Effect of Catalytic Interventions

2021 ◽  
pp. 105678792110036
Author(s):  
Tonya Johnson ◽  
Edward Lehner
Keyword(s):  
New York ◽  
Skill Acquisition ◽  
Social Reproduction ◽  
Teacher Candidates ◽  
New York State ◽  
Student Population ◽  
School Students ◽  
Preparation Programs ◽  
Data Set ◽  
Public School Students

New York State, in all of its regions, has a growing number of diverse public-school students, including many immigrant groups, accounting for a significant change in the ethnic and racial demographics of the state’s student population. Despite the rapidly changing student population, the teaching force nonetheless remains disproportionately White and populated primarily by women. A growing body of research suggests that the ranks of paraprofessionals, many of whom are already working in schools, may be the ideal population from which to develop a more fully diversified teaching candidate pool. Informed by a theoretical lens of social reproduction and drawing from an expansive data set, this research surveys the unique barriers that paraprofessionals face in accessing information about licensure and navigating local and state requirements. Specifically, the current work examines the needs of candidates at an urban community college and presents findings from a pilot support program designed to increase paraprofessional credentialing leading to teaching licensure. The findings of this work highlight not only the need for teacher and paraprofessional preparation programs to alter recruiting and skill-acquisition practices but also the need for continued research to better understand how to support multiethnic, multilingual, and multiracial teacher candidates.

scholarly journals Student Performance Prediction with Optimum Multilabel Ensemble Model

2021 ◽  
Vol 30 (1) ◽  
pp. 511-523
Author(s):  
Ephrem Admasu Yekun ◽  
Abrahaley Teklay Haile
Keyword(s):  
High School Students ◽  
Prediction Model ◽  
Student Performance ◽  
Performance Prediction ◽  
Transformation Method ◽  
Classification Task ◽  
Support Vector ◽  
School Students ◽  
K Nearest Neighbors ◽  
Classifier Chains

Abstract One of the important measures of quality of education is the performance of students in academic settings. Nowadays, abundant data is stored in educational institutions about students which can help to discover insight on how students are learning and to improve their performance ahead of time using data mining techniques. In this paper, we developed a student performance prediction model that predicts the performance of high school students for the next semester for five courses. We modeled our prediction system as a multi-label classification task and used support vector machine (SVM), Random Forest (RF), K-nearest Neighbors (KNN), and Multi-layer perceptron (MLP) as base-classifiers to train our model. We further improved the performance of the prediction model using a state-of-the-art partitioning scheme to divide the label space into smaller spaces and used Label Powerset (LP) transformation method to transform each labelset into a multi-class classification task. The proposed model achieved better performance in terms of different evaluation metrics when compared to other multi-label learning tasks such as binary relevance and classifier chains.

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