scholarly journals Growth Trajectories of Task Value and Self-efficacy Across an Academic Semester

2014 ◽  
Vol 2 (1) ◽  
pp. 10-18
Author(s):  
Marcus Lee Johnson ◽  
Ordene V. Edwards ◽  
Ting Dai
Keyword(s):  
Self Efficacy ◽  
Task Value ◽  
Growth Trajectories

scholarly journals Teaching strategies and value for STEM courses

2017 ◽  
Author(s):  
Virginia Gravina ◽  
Christopher Beswick ◽  
Kamden K Strunk
Keyword(s):  
Self Efficacy ◽  
Teaching Practices ◽  
Value Theory ◽  
Task Value ◽  
Expectancy Value Theory ◽  
Expectancy Value ◽  
Interest In Science ◽  
Subjective Task Value ◽  
And Mathematics ◽  
The Relationship

Expectancy-value theory has been used to investigate reasons why students have low achievement and low interest in science, technology, engineering, and mathematics (STEM) courses. The purpose of this study was to investigate the relationship between self-efficacy, perceived teaching practices, and subjective task value in gateway STEM courses. Results demonstrated that self-efficacy influenced perception of teaching practices and subjective task value, and perceived teaching practiced influenced subjective task value. Results and implications for teaching practices are discussed.

scholarly journals Factors Affecting Students’ Preferences for Online and Blended Learning: Motivational Vs. Cognitive

2020 ◽  
Vol 22 (2) ◽  
pp. 72-86 ◽  
Author(s):  
Sinan Keskin ◽  
Halil Yurdugül
Keyword(s):  
Learning Environment ◽  
Blended Learning ◽  
Learning Environments ◽  
Self Efficacy ◽  
Teaching And Learning ◽  
Learning Motivation ◽  
Task Value ◽  
Individual Factors ◽  
E Learning ◽  
The Individual

AbstractToday’s educational institutions are expected to create learning opportunities independent of time and place, to offer easily accessible learning environments and interpersonal communication opportunities. Accordingly, higher education institutions develop strategies to meet these expectations through teaching strategies, such as e-learning, blended learning, mobile learning, etc., by using teaching technologies. These new technology-based teaching strategies are mainly shaped by decision-makers in education. This study seeks to analyse the individual factors that affect learners’ mode of teaching and learning delivery preferences. In this study, blended and online learning is considered as preferences of learners’ mode of teaching and learning delivery. The individual factors discussed in this research are cognitive learning strategies, e-learning readiness, and motivation. The data were obtained from the pre-service teachers at the end of the academic semester when they experienced online and blended learning. Data were analysed using optimal scaling analysis. The analysis method provides a two-dimensional centroid graph which shows the correlations between the variable categories. According to study findings, there is a correlation between the preferences of the learning environment, and the constructs of self-efficacy, e-learning motivation, and task value. It can be said that the motivational variables are more effective in the learning environment preference. The students with high task value, e-learning motivation, and self-efficacy preferred studying in blended learning environments. Cognitive strategies, self-directed learning, learner control, and test anxiety factors are independent of the learners’ learning delivery preferences.

scholarly journals Model Motivasi Trisula: Sintesis Baru Teori Motivasi Berprestasi

2014 ◽  
Vol 41 (2) ◽  
pp. 218
Author(s):  
Edy Purwanto
Keyword(s):  
High School ◽  
High School Students ◽  
Public Schools ◽  
Goal Orientation ◽  
Achievement Motivation ◽  
Junior High School ◽  
Self Efficacy ◽  
Task Value ◽  
School Students ◽  
Significant Loading

The purpose of this study was to find out a comprehensive model of achievement motivation appropriate for Indonesian students. Specifically, this study examined the contribution of task-value, self-efficacy and goal orientation in influencing students’ achievement motivation. The subjects of this research were 393 high school students, 219 of them are female and 174 are male. 46% of them were senior high school and 54% junior, high school students. 45% were from public schools and 55% from religion-based private schools. The task-value, self-efficacy, goal orientation and achievement motivation as scaling instruments used in this study were developed from Motivated Strategies for Learning Questionnaire Manual. The instruments had been tested and proved valid and reliable. Analysis of model testing data was done using technique of confirmatory factor analysis. The results showed that the trisula model of achievement motivation was reliable. The task-value, self-efficacy and goal orientation are significant loading factors for achievement motivation. The self-efficacy also is a significant loading factor for the task-value and goal orientation. Keywords: achievement motivation, goal orientation, self-efficacy, task-value

scholarly journals Influence of Motivation on Academic Performance among Dental College Students

2019 ◽  
Vol 7 (8) ◽  
pp. 1374-1381 ◽  
Author(s):  
Sultan A. Almalki
Keyword(s):  
Academic Performance ◽  
Self Efficacy ◽  
Dental Students ◽  
Task Value ◽  
Self Report ◽  
Learning Performance ◽  
Learning Beliefs ◽  
Grade Point ◽  
Motivation For Learning ◽  
And Task

AIM: This study aimed to assess the influence of motivation on academic performance among dental undergraduate students. METHODS: A cross-sectional study was carried out among a sample of 187 undergraduate dental students from the main dental colleges in the Riyadh region of Saudi Arabia using an electronic questionnaire. Students’ academic performance was measured by their current grade point average (GPA). Motivation was assessed using the Motivated Strategies for Learning Questionnaire (MSLQ), which is a self-report instrument designed to assess students’ motivational orientations and learning strategies in college, including goals and value beliefs for the studied program (intrinsic, extrinsic goals orientation and task value), beliefs about their skills to succeed in their studies (control of learning beliefs, self-efficacy for learning and performance), and their anxiety about program tests. RESULTS: The results showed positive correlations between GPA and the motivation scale (r = 0.2296, p = 0.0019) and most of its subscales, including self-efficacy for learning performance (r = 0.2997, p = 0.0001), control of learning beliefs (r = 0.2305, p = 0.0021) and task value (r = 0. 2243, p = 0.0021). Test anxiety showed negative correlation with GPA (r = -0.1943, p = 0.0100). Compared to their counterparts, male students, students perceived to be from middle class families and students living with their families were consistently showing significant correlations between GPA and most of the motivation subscales. CONCLUSION: It can be concluded that motivation for learning can influence the academic performance of dental students. This influence can be affected by factors such as sex, socioeconomic factors and family support of the students.

scholarly journals The Relationships Between Self-Efficacy, Task Value, and Self-Regulated Learning Strategies in Massive Open Online Courses

2020 ◽  
Vol 21 (1) ◽  
pp. 23-39 ◽  
Author(s):  
Daeyeoul Lee ◽  
Sunnie Lee Watson ◽  
William R Watson
Keyword(s):  
Learning Strategies ◽  
Self Efficacy ◽  
Task Value ◽  
Future Research ◽  
Use Of Self ◽  
Massive Open Online ◽  
Positive Correlation ◽  
Self Regulated Learning ◽  
Significant Difference ◽  
Regulated Learning

This study examines the relationships between self-efficacy, task value, and the use of self-regulated learning strategies by massive open online course (MOOC) learners from a social cognitive perspective. A total of 184 participants who enrolled in two MOOCs completed surveys. The results of Pearson’s correlation analysis show a positive correlation between self-efficacy and the use of self-regulated learning strategies, as well as a positive correlation between task value and the use of self-regulated learning strategies. The results of hierarchical multiple regression analysis show that self-efficacy and task value are significant predictors of the use of self-regulated learning strategies. There was a statistically significant difference in the use of self-regulated learning strategies between learners who possessed high self-efficacy and those who possessed low self-efficacy. In addition, learners who had high task value showed statistically significant higher average self-regulated learning scores than those who had low task value. Implications and future research directions are discussed based on the findings.

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