Relationship between Cooperative Learning and Test Anxiety with Self-efficacy and Academic Performance in Student

2017 ◽  
Vol 8 (3) ◽  
pp. 298
Author(s):  
Fereshteh Ghasemi Rad ◽  
Alireza Heidari
Keyword(s):  
Academic Performance ◽  
Cooperative Learning ◽  
Test Anxiety ◽  
Self Efficacy

Parental Intrusiveness: Children's Self-Efficacy, Separation Anxiety, and Academic Performance

2007 ◽  
Author(s):  
Kim H. Har ◽  
Angela W. Chiu ◽  
David A. Langer ◽  
Jeffrey J. Wood
Keyword(s):  
Academic Performance ◽  
Self Efficacy ◽  
Separation Anxiety

SELF-EFFICACY DALAM PEMBELAJARAN MATEMATIKA SISWA MADRASAH ALIYAH

2019 ◽  
Vol 20 (1) ◽  
pp. 110-121
Author(s):  
Maria Ulpah
Keyword(s):  
Data Collection ◽  
Cooperative Learning ◽  
Student Success ◽  
Learning Process ◽  
Self Efficacy ◽  
Observation Data ◽  
Know How ◽  
Learning Mathematics ◽  
Mathematical Problems

Self-efficacy of students plays a role in determining student success in learning, including learning mathematics. Affective aspects such as self-efficacy, play a major role when students work and use mathematics, because to be able to solve mathematical problems is not enough just to know how to do it, but must be accompanied by self-efficacy about the truth of the concepts and procedures they have. This research was conducted in two groups of students using an instrument in the form of a questionnaire to measure students' self-efficacy. Observation data collection techniques were also conducted to determine the learning process of the two groups. The results showed that groups of students who used active and cooperative learning had higher self-efficacy. Keywords: self-efficacy, mathematics, cooperative learning.

The Relationship of University Students' Sleep Habits and Academic Motivation

NASPA Journal ◽  
2006 ◽  
Vol 43 (3) ◽  
Author(s):  
Kellah M. Edens
Keyword(s):  
College Students ◽  
Academic Performance ◽  
Goal Orientation ◽  
Self Efficacy ◽  
Academic Motivation ◽  
College Health ◽  
Sleep Habits ◽  
Lack Of Sleep ◽  
Relationship Of ◽  
The Relationship

College students are sleeping less during the week than reported a few years ago. Lack of sleep among college students has been identified as one of the top three healthrelated impediments to academic performance by the American College Health Association’s National College Health Assessment survey; and it is associated with lower grades, incompletion of courses, as well as negative moods. This research examines the underlying dynamics of lack of sleep on academic motivation, a key predictor of academic performance. Specifically, the relationship of sleep habits with self-efficacy, performance versus mastery goal orientation, persistence, and tendency to procrastinate were investigated. Findings indicate that 42% of the participants (159 students out of a total of 377) experience excessive daytime sleepiness (EDS); and those identified with EDS tend: (1) to be motivated by performance goals rather than mastery goals; (2) to engage in procrastination (a self-handicapping strategy) to a greater extent than students who are rested; and (3) to have decreased self-efficacy, as compared to students not reporting EDS. Several recommendations for campus health professionals to consider for a Healthy Campus Initiative are made based on the findings.

scholarly journals The High School Competencies Scale (H-Comp Scale): A First Validation Study

2021 ◽  
Vol 11 (2) ◽  
pp. 570-584
Author(s):  
Diego Boerchi ◽  
Paola Magnano ◽  
Ernesto Lodi
Keyword(s):  
High School ◽  
Academic Performance ◽  
High School Students ◽  
Family Relationships ◽  
Self Efficacy ◽  
Concurrent Validity ◽  
Extrinsic Motivation ◽  
Self Esteem ◽  
Emotional Reactions ◽  
School Students

Researchers widely explored non-intellective study factors because they play a central role in academic performance and are potentially more modifiable than intellective ones. The scientific literature suggests that the non-intellective factors can be classified into three main areas: self-concept, which refers to self-esteem and efficacy, motivation and emotional reactions; the area of study, related to study dedication and operative skills; and the area of relationships, comprising those with family, fellow students and teachers. Basing on these findings, the C-Comp Scale has been developed and tested in the past, addressed to college students. This study aimed to adapt and test a new version of this questionnaire on high school students. Methods. A pilot study was conducted on 364 Italian high school students to adapt and test the new version of the questionnaire, called the H-Comp Scale. The following study, conducted on 792 Italian high school students, provided further evidence of its reliability, structural validity, and concurrent validity with general self-efficacy, academic self-efficacy, social self-efficacy, and academic performance. Results. The H-Comp Scale showed to possess excellent reliability and structural and concurrent validity. The final version is composed of twelve subscales, aggregated in three areas, with just 48 items: Study (Intrinsic Motivation, Extrinsic Motivation, Time Management, Study Dedication), Self (Learning Assessment, General Self-Esteem, Self-Efficacy, Reaction to Failures, Emotional Control), and Relationships (Family Relationships, Fellow Student Relationships, Teacher Relationships). Conclusions. The H-Comp Scale would be a useful and easy-to-use instrument to support school counselors, tutors, teachers, and researchers in exploring different types of non-intellective variables, to better project educational intervention aimed to improve high school students’ academic performance and satisfaction.

Study Behaviors and Their Relationships to Test Anxiety and Academic Performance

1972 ◽  
Vol 30 (2) ◽  
pp. 407-410 ◽  
Author(s):  
George J. Allen ◽  
Wayne M. Lerner ◽  
James J. Hinrichsen
Keyword(s):  
Academic Performance ◽  
Test Anxiety ◽  
Multivariate Regression Analysis ◽  
Study Data ◽  
Self Report ◽  
Grade Point ◽  
Academic Aptitude ◽  
Relevant Variables ◽  
Study Behaviors ◽  
High School Rank

Multivariate regression analysis of academic aptitude, test anxiety, and self-report study data from 122 undergraduates indicated high school rank to be the best predictor of grade point average. The number of days Ss reported studying and one test anxiety scale also added significantly to the prediction. Analysis of the study-relevant variables across the semester indicated differential patterns of study existed for students with good, average, and poor grades. The relative independence of test anxiety and study behaviors suggested that the latter class of variables might profitably be used to increase prediction of academic performance.

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