The impacts of Internet Self-efficacy and Work Relatedness on Transfer of Training being Mediated by Learning Satisfaction : Focusing on Online-training Participants of Cultural Tourism Interpreter

2021 ◽  
Vol 9 (1) ◽  
pp. 65-82
Author(s):  
Dae-Young Kwak ◽  
Keyword(s):  
Self Efficacy ◽  
Transfer Of Training ◽  
Online Training ◽  
Cultural Tourism ◽  
Learning Satisfaction

scholarly journals Exploring the relationship between students' learning satisfaction and self-efficacy during the emergency transition to remote learning amid the coronavirus pandemic: A cross-sectional study

2021 ◽  
Author(s):  
Monira I. Aldhahi ◽  
Abdulfattah S. Alqahtani ◽  
Baian A. Baattaiah ◽  
Huda I. Al-Mohammed
Keyword(s):  
Online Learning ◽  
Time Management ◽  
Self Efficacy ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Learning Satisfaction ◽  
High Satisfaction ◽  
E Learning ◽  
Students Satisfaction ◽  
Remote Learning

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.

scholarly journals The Differentiate Effect of Self-Efficacy, Motivation, and Satisfaction on Pre-Service Teacher Students’ Learning Achievement in a Flipped Classroom: A Case of a Modern Educational Technology Course

2021 ◽  
Vol 13 (5) ◽  
pp. 2888
Author(s):  
Li Zhao ◽  
Xiaohong Liu ◽  
Yu-Sheng Su
Keyword(s):  
Educational Technology ◽  
Self Efficacy ◽  
Flipped Classroom ◽  
Learning Motivation ◽  
Control Group ◽  
Learning Achievement ◽  
Learning Satisfaction ◽  
Teacher Students ◽  
Pre Service Teacher ◽  
Experimental Group

To analyze how variability changes over time can enhance the understanding of how learners’ self-efficacy, motivation, and satisfaction is controlled and why differences might exist among groups of individuals. Therefore, this study compared the effect of variability on pre-service teacher students in the flipped classroom approach with a course named modern educational technology (MET). In total, 77 students in two groups participated in this study. Learners in the experimental group received the flipped classroom treatment. Learners in the control group received the traditional lecture-centered instructional approach. The learning outcomes were evaluated by practice assignment, transfer assignment, and student perception survey. The survey includes the evaluation of learning satisfaction, self-efficacy, and learning motivation. Pre-test and post-test were conducted by the two groups. The data analysis results applied analysis of variance (ANOVA) or analysis of covariance (ANCOVA) and revealed that the experimental group displayed a better learning achievement than the control group. The experimental group participants’ perception also showed variability (i.e., learning satisfaction, self-efficacy, and learning motivation) was better than the control group. Considering the overall study results, the flipped classroom model can be applied in the pre-service teacher students’ modern educational technology course.

scholarly journals Training patients to review scientific reports for the Patient-Centered Outcomes Research Institute: an observational study

BMJ Open ◽  
2019 ◽  
Vol 9 (9) ◽  
pp. e028732
Author(s):  
Ilya Ivlev ◽  
Kelly J Vander Ley ◽  
Jack Wiedrick ◽  
Kira Lesley ◽  
Amy Forester ◽  
...  
Keyword(s):  
Observational Study ◽  
Peer Review ◽  
Outcomes Research ◽  
Self Efficacy ◽  
Online Training ◽  
Median Number ◽  
Patient Centered ◽  
Quality Improvement Effort ◽  
Patient Advocates ◽  
Research Institute

ObjectiveThe peer review of completed Patient-Centered Outcomes Research Institute (PCORI) funded research includes reviews from patient reviewers (patients, caregivers, and patient advocates). Very little is known about how best to support these reviewers in writing helpful comments from a patient-centred perspective. This study aimed to evaluate the effect of a new training in peer review for patient reviewers.DesignObservational study.SettingOnline.ParticipantsAdults registered in the PCORI Reviewer Database as a patient stakeholder.InterventionA new online training in peer review.Main outcome measuresChanges in reviewers’ knowledge and skills; change in self-efficacy and attitudes, satisfaction with the training and perceived benefits and relevance of the training.ResultsBefore-after training survey data were analysed for 37 (29.4% of 126) patient reviewers invited to participate in an online training as part of a quality improvement effort or as part of a PCORI peer review. The reviewers improved their answers to the knowledge questions (p<0.001, median number of answers improved 4 (95% CI 3 to 5), large effect size (ES) Cohen’sw=0.94) after the training, particularly in the questions targeting the specifics of PCORI peer review. Reviewers improved their skills in recognising helpful review comments, but those without peer-review background improved proportionally more (p=0.008, median number of answers improved 2 (95% CI 1 to 3), medium ESw=0.60). The use of training modestly increased reviewers’ confidence in completing a high-quality peer review (p=0.005, mean increase in 5-point Likert rating 0.51 (95% CI 0.17 to 0.86), small-to-medium ES Cliff’sdelta=0.32) and their excitement about providing a review slightly increased (p=0.019, mean increase in 5-point Likert rating 0.35 (95% CI 0.03 to 0.68), small ESdelta=0.19). All reviewers were satisfied with the training and would recommend it to other reviewers.ConclusionsTraining improved knowledge, skills and self-efficacy and slightly increased enthusiasm for completing a PCORI peer review.

scholarly journals Effects of Simulation-Based Learning on Nursing Students’ Learning Outcomes of a Gerontology Course

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 489-489
Author(s):  
Hsueh-Fen Kao ◽  
Minzhi Ye ◽  
Lin Chen
Keyword(s):  
Nursing Education ◽  
Nursing Students ◽  
Learning Outcomes ◽  
Undergraduate Students ◽  
Self Efficacy ◽  
Perceived Competence ◽  
Learning Satisfaction ◽  
Multiple Exposures ◽  
Significant Difference ◽  
Simulation Based

Abstract Simulation-Based Learning (SBL) is beneficial to nursing education. Nevertheless, recent studies have shown a side effect of being overwhelmed by repeated exposures to simulation. Thus, how many times simulation scenarios should be provided to students remains a question. The objectives of this study were to (1) explore the changes in nursing students’ perceived competence, self-efficacy, and learning satisfaction after repeated exposures to simulations, and (2) determine the acceptable frequency of SBL in the ‘Care of Older Adults’ course. A one-group repeated measurement experimental design with self-administered questionnaires in a convenient sample of 84 senior nursing undergraduate students was used at a university in southern Taiwan, and 79 students completed all measurements. After taking the baseline measurements (T0), students were exposed to 75-mininute simulation scenarios from Time 1 (T1) to Time 3 (T3) three weeks apart throughout the semester. Students’ perceived nursing competence, self-efficacy, and learning satisfaction were measured immediately after each exposure. There were statistically significant improvements from T0 to T3 (p &lt; .001) in all three areas; however, no significant difference when comparing scores from T1 to T2 and from T2 to T3. To conclude, SBL is effective in improving nursing students’ perceived competence, self-efficacy, and learning satisfaction. While the primary changes occur at the first simulation effort, it is the accumulated multiple exposures collectively improve students’ learning outcomes. Multiple instructional strategies are recommended to maintain students’ learning interests to achieve optimal learning outcomes of the course across a semester.

Effects of simulation-based learning on nursing students' perceived competence, self-efficacy, and learning satisfaction: A repeat measurement method

2021 ◽  
Vol 97 ◽  
pp. 104725
Author(s):  
Chang-Chiao Hung ◽  
Hsueh-Fen S. Kao ◽  
Hsiu-Chen Liu ◽  
Hwey-Fang Liang ◽  
Tsui-Ping Chu ◽  
...  
Keyword(s):  
Nursing Students ◽  
Self Efficacy ◽  
Measurement Method ◽  
Perceived Competence ◽  
Learning Satisfaction ◽  
Simulation Based

The myth of knowledge within a robust nutrition online training course

2019 ◽  
Vol 44 (1) ◽  
pp. 162-180
Author(s):  
Cathy Weng ◽  
Isaac Manyonge Matere ◽  
Abirami Rathinasabapathi ◽  
Anita Zichun Chu
Keyword(s):  
Human Resources ◽  
Emotional Support ◽  
Self Efficacy ◽  
Health Knowledge ◽  
Online Training ◽  
Perceived Barriers ◽  
Healthy Behavior ◽  
Content Type ◽  
Training Course ◽  
Predictor Model

Purpose The purpose of this paper was to develop a predictor model for an online nutrition course on sugar reduction. The proposed model is based on health knowledge, healthy behavior, social support, self-efficacy, attitude and the health belief model in relation to people’s behavior within a Facebook group. Subsequently, the model can be used to design a robust online training course for human resources, thereby reducing the training costs which managers have experienced as being expensive. Design/methodology/approach A single pre-post experimental group design was used. Pre and post data were collected from 100 Facebook users using an online questionnaire, within a three-week intervention. Findings The results show a significant difference between pre- and post-test scores of health knowledge and healthy behavior, indicating an effective intervention. In addition, perceived barriers, attitude, self-efficacy and emotional support were significant predictors of the healthy behavior model, predicting 70 percent of healthy behavior. However, knowledge had no significant relationship with any of the three dependent variables (self-efficacy, attitude and healthy behavior) proposed. Practical implications This model has proved to be an effective intervention which can be used in online training of human resources, because the content of the training is known from the predictor model, thereby greatly reducing the training cost, since everything is done online. Moreover, the provided model and predictors show that the content to be delivered in the training program is not knowledge but perceived barriers, attitude, self-efficacy and emotional support. Originality/value This study is one of the first to propose an integrative model that suggests attitude and self-efficacy as key predictors of healthy behavior whereas knowledge is not.

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