scholarly journals Adapting Computer Programming Self-Efficacy Scale and Engineering Students’ Self-Efficacy Perceptions

2014 ◽  
pp. 20-31 ◽  
Author(s):  
Özgen KORKMAZ ◽  
◽  
Halis Altun ◽  
Keyword(s):  
Self Efficacy ◽  
Engineering Students ◽  
Computer Programming

scholarly journals Factors Affecting Engineering Students’ Achievement in Computer Programming

2020 ◽  
Vol 3 (4) ◽  
pp. 23-34
Author(s):  
Melih Derya Gurer ◽  
Seyfullah Tokumaci
Keyword(s):  
Self Efficacy ◽  
Engineering Students ◽  
Computer Programming ◽  
Pearson Correlation ◽  
Attitude Scale ◽  
Perceived Learning ◽  
Engineering Faculty ◽  
Factors Affecting ◽  
Students Attitudes ◽  
High Level

Literature indicated that attitude toward programming, programming self-efficacy, gender, and students’ department has been related to achievement in computer programming. However, there is a need for further studies investigating to what extent these factors explain programming achievement in a model. This study aimed to investigate the effects of programming self-efficacy, attitude towards programming, gender, and students’ department on their perceived learning. A correlational study design was adopted for this study. The sample of the study was 742 students of an engineering faculty at a state university inTurkey. To collect data, Programming Self-Efficacy Scale, Computer Programming Attitude Scale, and Perceived Learning Scale were used. To analyze data, descriptive statistics e.g. mean and standard deviation, and Pearson Correlation tests were administered. In addition, to determine the factors affecting perceived learning, multiple regression analysis was employed. The results indicated that the engineering faculty students’ attitudes towards programming, programming self-efficacy and perceived learning were at high level. In addition, significant correlations between perceived learning and predictive variables were found. Finally, it was concluded that gender, attitude towards programming and programming self-efficacy significantly predicted perceived learning. The results of the study provide a deeper understanding of how students’ learning was affected in programming courses.

Predictors of Engineering Self-Efficacy Among Latino/a and White Engineering Students

2013 ◽  
Author(s):  
Lisa Y. Flores ◽  
Rachel L. Navarro ◽  
Hang-Shim Lee ◽  
Laura Luna
Keyword(s):  
Self Efficacy ◽  
Engineering Students

scholarly journals Engineering students’ attitudinal beliefs by gender and student division: a methodological comparison of changes over time

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Madison E. Andrews ◽  
Anita D. Patrick ◽  
Maura Borrego
Keyword(s):  
Self Efficacy ◽  
Engineering Students ◽  
Focal Point ◽  
Value Engineering ◽  
Longitudinal Analyses ◽  
Utility Value ◽  
Cross Sectional ◽  
Targeted Interventions ◽  
Significant Difference ◽  
Over Time

Abstract Background Students’ attitudinal beliefs related to how they see themselves in STEM have been a focal point of recent research, given their well-documented links to retention and persistence. These beliefs are most often assessed cross-sectionally, and as such, we lack a thorough understanding of how they may fluctuate over time. Using matched survey responses from undergraduate engineering students (n = 278), we evaluate if, and to what extent, students’ engineering attitudinal beliefs (attainment value, utility value, self-efficacy, interest, and identity) change over a 1-year period. Further, we examine whether there are differences based on gender and student division, and then compare results between cross-sectional and longitudinal analyses to illustrate weaknesses in our current understanding of these constructs. Results Our study revealed inconsistencies between cross-sectional and longitudinal analyses of the same dataset. Cross-sectional analyses indicated a significant difference by student division for engineering utility value and engineering interest, but no significant differences by gender for any variable. However, longitudinal analyses revealed statistically significant decreases in engineering utility value, engineering self-efficacy, and engineering interest for lower division students and significant decreases in engineering attainment value for upper division students over a one-year period. Further, longitudinal analyses revealed a gender gap in engineering self-efficacy for upper division students, where men reported higher means than women. Conclusions Our analyses make several contributions. First, we explore attitudinal differences by student division not previously documented. Second, by comparing across methodologies, we illustrate that different conclusions can be drawn from the same data. Since the literature around these variables is largely cross-sectional, our understanding of students’ engineering attitudes is limited. Our longitudinal analyses show variation in engineering attitudinal beliefs that are obscured when data is only examined cross-sectionally. These analyses revealed an overall downward trend within students for all beliefs that changed significantly—losses which may foreshadow attrition out of engineering. These findings provide an opportunity to introduce targeted interventions to build engineering utility value, engineering self-efficacy, and engineering interest for student groups whose means were lower than average.

scholarly journals Technopreneurial Intentions: The Effect of Innate Innovativeness and Academic Self-Efficacy

2021 ◽  
Vol 14 (1) ◽  
pp. 238
Author(s):  
Sa’Ed M. Salhieh ◽  
Yousef Al-Abdallat
Keyword(s):  
Indirect Effect ◽  
Self Efficacy ◽  
Structural Equation ◽  
Engineering Students ◽  
New Technology ◽  
Equation Modeling ◽  
Undergraduate Engineering ◽  
Academic Self Efficacy ◽  
Self Administered Questionnaire ◽  
Positive Effect

Several factors can affect students’ intention to start a new technology-based venture (technopreneurial intentions). Understanding these factors is important when developing technical educational programs. This study investigates the effect of innate innovativeness and academic self-efficacy on technopreneurial self-efficacy and the forming of technopreneurial intentions. It does this by developing a conceptual model that relates technopreneurial intentions, technopreneurial self-efficacy, academic self-efficacy, and innate innovativeness. The data was collected from 378 undergraduate engineering students enrolled in a Jordanian university with a self-administered questionnaire survey. The results of the structural equation modeling (SEM) using AMOS showed that technopreneurial self-efficacy had a positive and significant impact on technopreneurial intentions. Academic self-efficacy had both a direct and indirect positive effect on technopreneurial intention. The indirect effect occurred through increased technopreneurial self-efficacy. Innate innovativeness had a direct effect on technopreneurial intentions, but it did not have a significant indirect effect through technopreneurship self-efficacy as was initially hypothesized. The findings suggest that those who show interest in starting a new technology-based venture have a strong belief in their abilities to perform the technological and entrepreneurial tasks needed, are confident about their ability to acquire the academic technical skills required, and have the inner motivation to seek what is technologically new and different.

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