scholarly journals The influence of general self-efficacy on the interpretation of vicarious experience information within online learning

Author(s):  
Natalie Wilde ◽  
Anne Hsu
2019 ◽  
Vol 11 (2) ◽  
pp. 3-18
Author(s):  
Natalie Wilde ◽  
Anne Hsu

Abstract Previous researchers have emphasised the need for more student-centred approaches to online learning. This study presents and assesses the feasibility of a tailoring system, which adapts vicarious experience information to best benefit the learners’ self-efficacy (SE), based upon the model–observer similarity hypothesis. This hypothesis states that the benefit of vicarious experience information is positively correlated with the levels of similarity between the model within the information and the individual observing it. Participants took part in online learning, which included a set task. Before completing the set task, they were shown vicarious experience information in the form of a fictional testimonial from a previous individual who had completed the task. Participants were exposed to one of two types of testimonials: a testimonial chosen by the tailoring system to ensure high levels of model–observer similarity, or a generic testimonial. Overall, the results found that using a tailoring system to ensure high levels of model–observer similarity did result in the testimonial information having a more positive effect on an individual’s task-specific SE when compared to generic testimonial information. The results support the feasibility of tailoring within online learning to increase the effectiveness of testimonial information in increasing an individual’s efficacy beliefs.


2021 ◽  
Vol 1 (3) ◽  
pp. 260-269
Author(s):  
Mutiu Salami ◽  
Rahmattullah Khan ◽  
Muhammed Yusuf ◽  
Asma Perveen ◽  
Mohammed Y.M. Mai

Due to the COVID-19 pandemic, a new challenge has developed specifically among students faced with online learning. The challenge that arises from this type of learning is that the students faced some uncertainties and negative emotional states. This study examined the impact of perceived academic stress and depression on self-efficacy beliefs among university students studying online. One hundred twenty-three participants from two public Universities in Peninsula Malaysia participated through an online google form, which consists of three instruments which are Perception of Academic Stress Scale (PASS), General Self-efficacy (GSE), as well as Depression, Anxiety and Stress Scale (DASS). Findings from Pearson correlation revealed a low negative correlation between general self-efficacy and stress (r = -.269, p < 0.01). On the other hand, the result of a simple linear regression between self-efficacy and perceived academic stress was significant with B = -2.30, p < 0.05. Students with higher levels of academic stress tend to experience depressive symptoms, while self-efficacy was a predictor of perceived academic stress. Considering the current unpredictable pandemic situation, with support from school psychologists and counselors, students are expected to heighten their cognitive drives and beliefs, including the motivation to overcome the challenges inherent in online learning.


2020 ◽  
Vol 79 (1) ◽  
pp. 15-25
Author(s):  
Jean Philippe Décieux ◽  
Philipp Emanuel Sischka ◽  
Anette Schumacher ◽  
Helmut Willems

Abstract. General self-efficacy is a central personality trait often evaluated in surveys as context variable. It can be interpreted as a personal coping resource reflecting individual belief in one’s overall competence to perform across a variety of situations. The German-language Allgemeine-Selbstwirksamkeit-Kurzskala (ASKU) is a reliable and valid instrument to assess this disposition in the German-speaking countries based on a three-item equation. This study develops a French version of the ASKU and tests this French version for measurement invariance compared to the original ASKU. A reliable and valid French instrument would make it easy to collect data in the French-speaking countries and allow comparisons between the French and German results. Data were collected on a sample of 1,716 adolescents. Confirmatory factor analysis resulted in a good fit for a single-factor model of the data (in total, French, and German version). Additionally, construct validity was assessed by elucidating intercorrelations between the ASKU and different factors that should theoretically be related to ASKU. Furthermore, we confirmed configural and metric as well as scalar invariance between the different language versions, meaning that all forms of statistical comparison between the developed French version and the original German version are allowed.


2020 ◽  
Author(s):  
Jean Philippe Décieux ◽  
Philipp Emanuel Sischka ◽  
Anette Schumacher ◽  
Helmut Willems

Author(s):  
Monira I. Aldhahi ◽  
Abdulfattah S. Alqahtani ◽  
Baian A. Baattaiah ◽  
Huda I. Al-Mohammed

AbstractThe overarching objective of this study was to assess learning satisfaction among students and to determine whether online-learning self-efficacy was associated with online learning satisfaction during the emergency transition to remote learning. This cross-sectional study involved a survey distributed to 22 Saudi Arabian universities. The survey used in this study consisted of an online learning self-efficacy (OLSE) questionnaire and an electronic learning (e-learning) satisfaction questionnaire. A total of 1,226 respondents voluntarily participated in and completed the survey. Students in medical fields made up 289 (23.6%). A Kruskal–Wallis H test and a chi-square test were used to compare the student’s satisfaction based on the educational variables. Spearman’s correlation and multiple linear regression analyses were performed to assess the association between self-efficacy and satisfaction. The findings revealed degrees of satisfaction ranging between high satisfaction and dissatisfaction. The majority of students (51%) expressed high satisfaction, and 599 students (49%) reported experiencing a low level of satisfaction with e-learning. A comparison of groups with low and high satisfaction scores revealed a significant difference in the OLSE. High satisfaction was positively correlated with the OLSE domains: time management, technology, and learning. The OLSE regression analysis model significantly predicted satisfaction. It showed that the model, corrected for education level and grade point average of the students, significantly predicted e-learning satisfaction (F = 8.04, R2 = 0.59, p = .004). The study concluded that students’ satisfaction with the e-learning experience is influenced by e-learning self-efficacy. The study’s findings lead to the practical implications and identify the need to improve the remote learning, time management and technology self-efficacy to enhance students’ satisfaction.


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