scholarly journals Dimensional Analysis of the Academic Motivation Scale with Respect to Gender in Secondary School Students with Neural Basis in Indian Context

2016 ◽  
Vol 2 (2) ◽  
Author(s):  
Rajib Chakraborty
Keyword(s):  
High School ◽  
High School Students ◽  
Secondary School ◽  
Secondary School Students ◽  
Academic Motivation ◽  
Neural Basis ◽  
School Students ◽  
Academic Motivation Scale ◽  
Indian Context ◽  
Motivation Scale

The present study is an attempt to provide a neural underpinning to the role of gender difference in the construct academic motivation, in secondary school students in Indian context. For this purpose, comparisons of students’ scores of the dimensions of academic motivation were carried out. Samples for the study include 49 urban students (24 boys and 25 girls ) of classes VIII and IX of secondary school in Sriram Nager of Hyderabad city, Telangana, India. Academic motivation construct is measured by using <italic>Academic Motivation Scale, High School Version (AMS-HS 28)</italic> for high school students prepared by Vallerand and et.al (1992). For data analysis, measures like mean, standard deviation are used. The significance of the test is calculated using t-test for the level of significance α at 0.05. The findings of the study reveal no differences between the genders in the measured dimensions of academic motivation.

Neural Basis for the Relationship Between Academic Motivation and Academic Achievement

2016 ◽  
Vol 2 (2) ◽  
Author(s):  
Rajib Chakraborty
Keyword(s):  
High School ◽  
Academic Achievement ◽  
High School Students ◽  
Academic Motivation ◽  
Neural Basis ◽  
School Students ◽  
Grade Point ◽  
Academic Motivation Scale ◽  
Level Of Significance ◽  
The Relationship

The present study is an attempt to provide evidence to the neural basis of the relationship between academic motivation and academic achievement constructs. Sample for the study includes 49 students (25 girls and 24 boys) from VIIIth and IXth classes of a secondary school in Sriram Nagar, Hyderabad, Telangana, India. The data for measuring academic motivation is collected using <italic>Academic Motivation Scale, High School Version (AMS-HS 28)</italic> for high school students prepared by Vallerand and et.al (1992). Academic achievement of the students is measured by collecting the students’ grade point average in a summative assessment. For data analysis, Pearson’s Product-Moment Correlation coefficient is used. The significance of the test is calculated using critical value table for Pearson’s Product-Moment Correlation for the level of significance α at 0.05. The findings of the study establish the prefrontal cortex of the brain as the neural basis for the relationship between academic motivation and academic achievement in the chosen subjects.

scholarly journals VALIDATION OF THE ACADEMIC MOTIVATION SCALE IN A SAMPLE OF HIGH SCHOOL STUDENTS

2018 ◽  
pp. 191-216
Author(s):  
Anela Hasanagić ◽  
Nina Bosankić
Keyword(s):  
High School ◽  
Factor Analysis ◽  
High School Students ◽  
Intrinsic Motivation ◽  
Extrinsic Motivation ◽  
Academic Motivation ◽  
Validity And Reliability ◽  
School Students ◽  
Academic Motivation Scale ◽  
Motivation Scale

Academic motivation implies an internal process that initiates and maintains activities aimed at reaching certain academic goals. The objective of this research was to explore the psychometric characteristics of the Academic Motivation Scale (AMS). The sample comprised 157 participants, high school students in the Sarajevo Canton. An item analysis indicated that discriminatory validity and reliability indices were satisfactory for all items. The Cronbach’s alpha coefficients for separate subscales were ranging from 0.77 to 0.84, and for the whole instrument α = 0.912. An exploratory factor analysis specified 5 factors, with 66.53% of the variance explained. After a Equamax rotation with Kaiser normalization we reached the solution whereby there are two subscales of intrinsic motivation – for knowledge and stimulation- and they present the first factor. The second factor is composed of the subscales of extrinsic motivation – imposed and externally regulated. The third factor are the items of a-motivation, the fourth the items of intrinsic motivation for achievement, and the fifth the items of extrinsic internalized motivation. A confirmatory factor analysis did not offer a more interpretable solution. After separate factor analyses of the subscales of intrinsic and extrinsic motivation, we got a satisfactory solution whereby the three subscales of intrinsic and three of extrinsic motivation might be distinguished. In conclusion, we can say that this measuring instrument has satisfactory metric characteristics and that the existence of the following seven factors has been partially confirmed: intrinsic motivation (for knowledge, achievement, stimulation), extrinsic motivation (imposed, internalized, externally regulated) and a-motivation.

Secondary School Students' Perceptions of Math Teachers and Math Classes

1976 ◽  
Vol 69 (3) ◽  
pp. 226-233
Author(s):  
Charles R. Cooper ◽  
Anthony Petrosky
Keyword(s):  
High School ◽  
High School Students ◽  
Secondary School ◽  
Secondary School Students ◽  
Nationwide Survey ◽  
School Students ◽  
Math Teachers

Here is a summary of a recent, revealing nationwide survey of high school students perceptiollS of their teachers and the classroom atmosphere they create.

Influence of Academic Motivation on Academic Achievement and Emotional Intelligence in Secondary School Students

2016 ◽  
Vol 5 (5) ◽  
Author(s):  
Rajib Chakraborty
Keyword(s):  
High School ◽  
Academic Achievement ◽  
Emotional Intelligence ◽  
Secondary School ◽  
Secondary School Students ◽  
Academic Motivation ◽  
Short Form ◽  
School Students ◽  
Grade Point ◽  
The Relationship

The present study tried to examine the relationship between academic achievement and emotional intelligence, blocking the influence of academic motivation on the relationship in secondary school students. Sample for the study includes 49 students (25 girls and 24 boys) from VIIIth and IXth classes of a secondary school in Sriram Nagar, Hyderabad, Telangana, India. The data for measuring Emotional intelligence is collected by using the Trait Emotional Intelligence Questionnaire – Adolescent Short Form (TEIQue-ASF), prepared by Petrides, K. V. & Furnham, A. (2006) for adolescents. The data for measuring academic motivation is collected using Academic Motivation Scale, High School Version (AMS-HS 28) for high school students prepared by Vallerand and et.al (1992). Academic achievement of the students is measured by collecting the students' grade point average in a summative assessment. For data analysis, Pearson's Product Moment and Partial Correlations are used. The significance of the test is calculated by using t-test formula for partial correlation for the level of significance α at 0.05. The findings of the study reveal that the influences of academic motivation on the relationship between academic achievement and emotional intelligence in secondary school students, cannot be ignored.

scholarly journals Knowledge on risk factors for type 2 diabetes mellitus among secondary school students

2020 ◽  
pp. 431-443
Author(s):  
Aleksandra Góra ◽  
Elżbieta Szczepańska ◽  
Karolina Janion
Keyword(s):  
Risk Factors ◽  
High School ◽  
Type 2 Diabetes ◽  
High School Students ◽  
Secondary School ◽  
Secondary School Students ◽  
Average Level ◽  
School Students ◽  
Level Of Knowledge

Background. Diabetes is a set of metabolic diseases characterized by hyperglycemia caused by improper action and/or secretion of insulin. Currently, diabetes is becoming a serious challenge in modern medicine, this disease affects 425 million people, and the forecasts indicate that by 2045 the number of cases will increase to 629 million. Objective. The aim of the study was to evaluate the knowledge about risk factors for type 2 diabetes among secondary school students in the Silesian Province in Poland and to determine whether there are differences between the level of knowledge between girls and boys and between first-, second- and third-grade students. Material and methods. The survey was conducted among 650 high school students. The research tool was the author's questionnaire. The obtained results were developed using Microsoft Excel 2010 and Statistica 13.3 (TIBCO Inc.). Results. The definitions of type 2 diabetes were known to 63.9%. 91.8% of high school students indicated excessive body mass as a risk factor for morbidity, while 18.8% of people indicated the appropriate type of obesity increasing the risk of type 2 diabetes. Most of the students considered abnormal eating habits as an important factor increasing the occurrence of the disease (92.4%). The most numerous group of high school students were people with average level of knowledge (89.6%). Conclusions. The knowledge of high school students about risk factors for type 2 diabetes was varied. The most numerous group were high school students characterised by the average level of knowledge. There were no statistically significant differences between the proportion of correctly provided responses by women and men. There were statistically significant differences between the proportion of correctly provided responses by first-, second- and third-graders. Our research shows that educational activities should be undertaken, especially about modifiable risk factors for type 2 diabetes.

scholarly journals Psychometric properties of the Adolescents’Academic Motivation Scale (AAMS) in a representative sample of Dominican Republic high school students

2022 ◽  
Vol 38 (1) ◽  
pp. 93-100
Author(s):  
Betty Reyes ◽  
Irene Fernández ◽  
Sergio Pérez-Belmonte ◽  
Saturnino De los Santos ◽  
José M. Tomás ◽  
...  
Keyword(s):  
High School ◽  
High School Students ◽  
Academic Success ◽  
Dominican Republic ◽  
Latent Variables ◽  
Representative Sample ◽  
Structural Equation ◽  
Academic Motivation ◽  
School Students ◽  
Motivation Scale

Within the growing body of research that has focused on academic success, academic motivation has gathered considerable attention. The aim of this this research is to present the first validation of the Adolescents’ Academic Motivation Scale (AAMS). Total sample was composed by 1712 students of secondary education from two districts in the Dominican Republic. The main measurement outcome was the AAMS. Results from the CFA were satisfactory: χ2(5) = 57.73, p < .001; CFI = .970; RMSEA = .079 [.061, .097], and SRMR = .024. IRT analyses favored the two-parameter logistic model, indicating that items were not equally discriminant. Structural Equation Model with latent variables in which academic motivation was a significant predictor of grades resulted in excellent fit: χ2(53) = 182.76, p < .001; CFI = .980; RMSEA = .038 90% CI [.032, .044], and SRMR = .025. In sum, this work presents an exhaustive psychometric analysis of the AAMS in a representative sample of high school Dominican students. Entre el creciente cuerpo de investigación que se ha centrado en el éxito académico, la motivación académica ha captado considerable atención. El objetivo de esta investigación es presentar la primera validación de la Escala de Motivación Académica de los Adolescentes (EMAA). La muestra total estuvo compuesta por 1712 estudiantes de secundaria de dos distritos de la República Dominicana. La medida principal fue la EMAA. Los resultados del AFC fueron satisfactorios: χ2(5) = 57.73, p < .001; CFI = .970; RMSEA = .079, 90% CI [.061, .097], y SRMR = .024. Los análisis de TRI favorecieron al modelo logístico de dos parámetros, indicando que los ítems no fueron igualmente discriminativos. El Modelo de Ecuaciones Estructurales en el que la motivación académica predecía de forma estadísticamente significativa las calificaciones obtuvo un ajuste excelente: χ2(53) = 182.76, p < .001; CFI = .980; RMSEA = .038 [.032, .044], and SRMR = .025. En resumen, este trabajo presenta un exhaustivo análisis psicométrico de la EMAA en una muestra representativa de estudiantes dominicanos de instituto.

Projects: Making Mathematics: Developing Mathematical Research Skills

2001 ◽  
Vol 94 (7) ◽  
pp. 622
Author(s):  
Gina M. Foletta
Keyword(s):  
High School ◽  
High School Students ◽  
Secondary School ◽  
Small Groups ◽  
Secondary School Students ◽  
Online Mentoring ◽  
Research Projects ◽  
Mathematical Research ◽  
School Students ◽  
Web Based

The Making Mathematics Project supports high school students—or small groups of students with a teacher—in their work on research projects in mathematics. This support is offered in the form of Web-based resources and online mentoring for secondary school students and their teachers.

scholarly journals Awareness and attitude of secondary school students about drug use

2013 ◽  
Vol 3 (1) ◽  
pp. 55-59
Author(s):  
Suada Branković ◽  
Mersa Šegalo ◽  
Arzija Pašalić ◽  
Jasmina Mahmutović ◽  
Amila Jaganjac ◽  
...  
Keyword(s):  
High School ◽  
High School Students ◽  
Secondary School ◽  
Secondary School Students ◽  
Modern Society ◽  
Young Population ◽  
Psychoactive Substances ◽  
School Students ◽  
Diffi Cult ◽  
The Individual

Introduction: Problem of addiction on psychoactive substances is one of the most diffi cult problems in a modern society, which brings serious consequences, both for the individual, his environment and the whole society.Methods: The study included 95 children and adolescents of medical school. Among the respondents, there were 44 subjects of third year of high school and 51 respondent-grader.Results: Students involved in this research as an answer to why young people start using drugs often reported curiosity in over 50% of cases, as well as pressure of friends. For students who use narkotine respondents generally thought they are  reasonable and sufficiently weak and limited personality. Thelargest number of high school students who were involved in the study did not know the individuals who use drugs.Conclusion: Drug addiction is a serious problem all over the country, and the number of addicts is becoming larger. Particularly worrisome is the fact that the consumption of the drug phenomenon is a characteristic of young population, especially high school students

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