scholarly journals Neural Basis for the Relationship Between Academic Motivation and Emotional Intelligence

Author(s):  
Rajib Chakraborty ◽  
Rafiya Sultana

The present study is an attempt to provide evidence to the neural basis of the relationship between academic motivation and emotional intelligence 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 Emotional intelligence is collected by using the <italic>Trait Emotional Intelligence Questionnaire – Adolescent Short Form (TEIQue-ASF)</italic>, prepared by Petrides, K. V. & Furnham, A. (2006) for adolescents. 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). 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 emotional intelligence in the chosen subjects.

Author(s):  
Rajib Chakraborty

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.


Author(s):  
Rajib Chakraborty

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.


Author(s):  
Rajib Chakraborty

The present study is an attempt to provide evidence to the neural basis of the relationship between academic achievement and emotional intelligence 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 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. 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 0.01. The findings of the study establish the prefrontal cortex of the brain as the neural basis for the relationship between academic achievement and emotional intelligence in the chosen subjects.


Author(s):  
Rajib Chakraborty ◽  
Dr. K. S. Prabhakaram

The present study is an attempt to examine the relationship between delay of gratification in academics and emotional intelligence. Sample for the study includes 50 urban students (30 boys and 20 girls) of class IX of a secondary school in New Nagole, Hyderabad, Telangana, India. The data for measuring delay of gratification is collected using <italic>Academic Delay of Gratification Scale (ADOGS)</italic> for college students prepared by Hefer Bembenutty (1997). Emotional intelligence is measured by collecting data using the <italic>Trait Emotional Intelligence Questionnaire</italic> – <italic>Adolescent Short Form (TEIQue-ASF)</italic>, prepared by Petrides, K. V. & Furnham, A. (2006) for adolescents. 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 reveal positive but weak relationship between delay of gratification in academics and emotional intelligence. No role of gender is found on the examined variables.


2020 ◽  
Vol 19 (1) ◽  
pp. 1-14
Author(s):  
Rose Mini Agoes Salim ◽  
Shahnaz Safitri

It is known that gifted high-school students tend to have difficulty in choosing career due to their wide-range interests and capabilities. In order to successfully making an appropriate career choice, having a high level of career decision making self-efficacy (CDMSE) is an important precondition. CDMSE is the belief in one’s ability to successfully complete the task necessary to make career-related decisions. Of several factors known to be affecting CDMSE, previous study has shown that career decision-making attribution (CDMA) could affect students CDMSE. However, the CDMA effect on CDMSE in gifted student is seemed to be related to personal trait of students, namely emotional intelligence (EI). Therefore, this study aims to examine the moderating role of EI on the impact of gifted high-school student CDMA on CDMSE. Subjects in this study were gifted high school students (N = 165; 52.12% males; M-age = 16.20 years old) in Jakarta. The measurement tools used are CDMSE Scale Short-Form, Assessment of Attribution for Career Decision Making, and Trait Emotional Intelligence Questionnaire Short-Form (TEIQue-SF) adapted into Indonesian language. The data were analyzed using simple regression analysis with Hayes PROCESS model. It was found that there is a direct effect of CDMA on CDMSE with (F (1,163) = 10.6661, p = .0033 < .001), in which CDMA serves as a predictor of CDMSE. We also found that EI can serve as a predictor of CDMSE (F (1,163) = 10.6661, p = .0007<.001. However, EI did not moderate the CDMA-CDMSE relation. Discussion, limitations, and suggestions for further research are listed. 


Author(s):  
Rajib Chakraborty ◽  
V. Chitra Lekha

The present study is an attempt to examine the relationship between academic delay of gratification and emotional intelligence in professional courses students. Sample for the study includes 136 urban students ( 99 boys and 37 girls ) from Engineering, Pharmacy, Law and Education courses of Sultan Ul Uloom Education Society, Banjara Hills, Hyderabad, Telangana, India. The data for measuring delay of gratification is collected using Academic Delay of Gratification Scale (ADOGS) for college students prepared by Hefer Bembenutty (1997). Emotional intelligence is measured by collecting data using the Trait Emotional Intelligence Questionnaire – Adolescent Short Form (TEIQue- ASF), prepared by Petrides, K. V. and Furnham, A. (2006) for adolescents. For data analysis, Pearson’s Product-Moment Correlation coefficient is used. The significance of the test is calculated for the level of significance α at 0.05, using SPSS Statistics Ver.23. Power analysis using G Power Software is used to reveal the minimum sample size to 112 for effect size 0.3 and power 0.9. The findings of the study reveal positive in nature, moderate in strength and highly significant relationship between the variables. No role of gender is found. Educational implications are discussed.


Author(s):  
Jerald C. Moneva ◽  
Bandino P. Gatan

This study examined the relationship between emotional intelligence and self- discipline in schools. Emotional Intelligence and Self-discipline are important factors in influencing the students to achieve academically. Emotional Intelligence is the ability to understand, use and manage their own emotion while self-discipline is a practice, a habit, a skills to understand the important factors in life of every individuals. This study is a descriptive correlation that described the two variables, if they had a connection. However, the results were determined if the two variables have a relationship that will affect the students discipline and their emotional intelligence.  A students’ questionnaire was constructed to obtain data on the students’ emotional intelligence and self- discipline. Chi- square was used to establish whether differences in emotional intelligence between self-discipline and it will serve as the basis to identify the level 0f both emotional and self-discipline. The purpose of sampling was done targeting to all the senior high school students. With a target of 245 students who are qualified to answer the questionnaire that I was provided. Emotional Intelligence and Self-discipline is a way that make the students to be aware about the factors in achieving their goals that make the students to be an independent individual. It makes as the basis to manage their own emotions. The data collected using questionnaire was cleaned, encoded, analyze and then interpreted for processing of result. The student’s level were compared and analysis made on which discussion was based. The average weighted mean will be used to determine the assessment of the respondents with regards to their personal profile.


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