InteliWeb: adaptation of the self-efficacy in an intelligent e-learning system

Author(s):  
F. Bica ◽  
R. Verdin ◽  
R.M. Vicari
2021 ◽  
pp. 105-112

INTRODUCTION: Today, cardiopulmonary resuscitation (CPR) training is highly important to save the lives of people in need of CPR by those present at the scene, and it is useful to study new training tools in this field. This study aimed to determine and compare the effect of basic CPR face-to-face and electronic training on the self-efficacy of high school students. METHODS: This randomized controlled field trial study was conducted on second-grade high school students in Tabas, Iran, referring to high schools by an announced call. The samples (n=62) were randomly selected and divided into two groups of e-learning and face-to-face training (n=31 each). Both groups completed the Basic Resuscitation Skills Self-Efficacy Scale at the baseline and 1 week and 2 months after the training intervention. The collected data were analyzed in SPSS software (version 20) using statistical measures of mean and standard deviation and statistical tests of t-test, Chi-square, and repeated measures analysis of variance. FINDINGS: The results showed that both e-learning and face-to-face training methods significantly increased the self-efficacy of high school students in CPR in 1 week and 2 months after training. In addition, a significant difference was observed between the two methods regarding the mean score of basic CPR self-efficacy 1 week after the intervention (P<0.001). CONCLUSION: Considering the benefits of e-learning on students' CPR learning, this method should be used seriously for basic CPR self-efficacy training.


2021 ◽  
Vol 18 ◽  
pp. 313-323
Author(s):  
Joanna Ejdys

The dynamic development of e-learning technologies caused by the global epidemiological situation during the last year has prompted the rapid adaptation of the education sector to new challenges. At the same time, many barriers and challenges have emerged, especially at the initial period of e-learning implementation. The identification of factors determining the adoption of e-learning should be the source of information needed to improve the methods and tools used by educational institutions. In the era of strong competition, higher education institutions need to improve their business models or build new ones e.g. based on remote learning. The article aims to identify the essential success factors and their interlinks that explain the initial stages of adoption of an e-learning system by university students in Poland. The author built three regression models which explain relationships between six input variables, i.e., the perceived usefulness (PU), the perceived ease of use (PEU), facilitating conditions (FC), computer self-efficacy (CSE), the preparedness level (PL), and previous experience (PE); and three output variables, i.e., satisfaction and personal development (SPD), attitude toward e-learning (AT), and intention to use (IU). The variable “satisfaction and personal development” (SPD) was newly added to the model. Data was collected with the help of a survey, which was conducted using the CAWI (computer-assisted web interview) technique. In total, 982 completed questionnaires were received. Results achieved using a regression analysis confirmed that the perceived usefulness played a crucial role in building the attitude of students toward e-learning and achieving satisfaction and personal development of the users. Only in the case of two analyzed variables, the obtained results confirmed statistically significant differentiation within the two gender groups. Results confirmed that men had declared a high level of computer self-efficacy. The variable “facilitating conditions” received higher marks from women. The research carried out and the results obtained may form the basis for building strategies for the development of universities and building business models in which e-learning plays an important role.


2011 ◽  
Vol 467-469 ◽  
pp. 2137-2142 ◽  
Author(s):  
Ying Hsiang Chuo ◽  
Chung Hung Tsai ◽  
Yu Li Lan

This purpose of the study is to develop the usage intention model of E-Learning systems. A survey of 1071 samples of six teaching hospitals in Taiwan shows that the effects of organizational support and self efficacy on usage intention are mediated by perceived ease of use and perceived useful. According to the statistical results, the proposed model fits very well for the samples. Besides, both organizational support and self efficacy are important antecedents of perceived ease of use and perceived useful. In addition, perceived ease of use has the most influence on usage intention, followed by perceived useful, organizational support, and self efficacy. Further investigation reveals that organizational support and self efficacy have both direct and indirect influences on usage intention. This research can provide E-Learning designers and managers of the hospital with the implication that we must focus not only on the technological aspect (perceived ease of use and perceived useful), but also on the social psychological aspect (organizational support and self efficacy).


2019 ◽  
Vol 9 (2) ◽  
pp. 66
Author(s):  
Ni Wayan Dewinta Ayuni ◽  
Kadek Cahya Dewi ◽  
I Ketut Suwintana

Human Organization Technology Fit (HOT FIT) is a model used for evauating a system. This HOT FIT model uses three main components in system evaluation, namely the human component, organization, and technology. These components are analyzed for their influence on Net Benefit or the usefulness of the system. The technology component is divided into three latent variables namely system quality, information quality, and service quality, while the organizational component is divided into two latent variables, namely the role of organization and environment. The human component is represented by self efficacy variable. This variable is defined as a mediator variable. Mediator variables are variables that theoretically affect the relationship between independent variables with the dependent variable into an indirect relationship and cannot be observed and measured. The e-learning system of Politeknik Negeri Bali has been implemented since 2012. As a base for e-learning development, an evaluation of the PNB e-learning system is worth doing. The HOT FIT model is considered to be the most appropriate model. The analytical tool used is Structural Equation Modeling using SmartPLS 3.0. The results showed that the SEM model has Q square value of 84.03%. Hypothesis testing shows that the Self Efficacy variable successfully mediates the effect of the Organization variable on the Net Benefit variable.


Author(s):  
Hanh Thi Hai Nguyen ◽  
Hau Van Pham ◽  
Ngan Hoang Vu ◽  
Hue Thi Hoang

This study was conducted to evaluate the factors influencing students’ intention to use E-learning system. Seven dimensions in this study were determined are Computer self-efficacy, Computer experience, Enjoyment, System characteristics and Subjective norm, Perceived ease of use, and Perceived usefulness. In which, Computer self-efficacy, Computer experience, Enjoyment and System characteristics impact on Perceived usefulness of E-learning, while Computer self-efficacy, System characteristics and Subjective norm impact on Perceived ease of E-learning use. Perceived usefulness and Perceived ease of use impact on Intention to use E-learning. The research methodology was conducted in a survey with participation of 246 respondents from 20 universities. The data was analyzed by using descriptive statistics, factor analysis and regression. The empirical results showed that Computer self-efficacy has no impact on Perceived usefulness of E-learning, and System characteristics has no impact on Perceived ease of E-learning use. Finally, this study recommended some solutions, which universities thereby makes some recommendations to universities to attract more students in participating in E-learning until it is officially implemented for the universities’ training systems.


2021 ◽  
Vol 12 ◽  
Author(s):  
Cai-Yu Wang ◽  
Yuan-Yuan Zhang ◽  
Shih-Chih Chen

Due to the impact of COVID-19, universities are forced to suspend their classes, which begin to depend on the usage of online teaching. To investigate the relationship among e-learning self-efficacy, monitoring, willpower, attitude, motivation, strategy, and the e-learning effectiveness of college students in the context of online education during the outbreak of COVID-19. A 519 first- to fifth-year undergraduate students from a medical university were selected for the research in this study. Structural equation model (SEM) was used for a data analysis, which led to the results showing that: (1) e-learning self-efficacy and monitoring have significant positive influence on e-learning strategy, and indirectly influence e-learning effectiveness through e-learning strategy; (2) e-learning willpower and attitude have a significant positive influence on e-learning motivations, and indirectly influence e-learning effectiveness through e-learning motivation and strategy; (3) e-learning motivation is having significant influence on e-learning effectiveness, while e-learning strategy is playing a mediating role; (4) There is a significant positive correlation between e-learning strategy and e-learning effectiveness; and (5) The presence of e-learning experience has a moderating influence on e-learning effectiveness as well as its influential factors. Results from this study provide the necessary information as to how higher education institutions and students can enhance students’ effectiveness of the e-learning system in order to support the usage of online technologies in the learning and teaching process. These results offer important implications for online learning effectiveness.


2018 ◽  
Vol 9 (3) ◽  
pp. 201-216 ◽  
Author(s):  
Kenneth Wilson Adjei Budu ◽  
Mu Yinping ◽  
Kingsford Kissi Mireku

Abstract The objective of the study aimed at assessing the relationship that exists between antecedents of behavioral intentions, and how they impact on the usage of E-learning systems in tertiary institutions in Ghana. Empirical data for the study was obtained through a survey from 237 respondents made up of; governing council members, school management members, faculty members, ICT department staff and students from five tertiary education institutions in Ghana. The study developed an extended Technology Acceptance Model (TAM) by incorporating an external variable, self-efficacy. The hypothesized model was examined using Partial Least Squares Structural Equation Modelling (PLSSEM) technique using Smart PLS version 12 software. The paper argues that perceived usefulness, perceived ease of use and self-efficacy influenced individual’s behavioral intentions to utilize E-learning systems. However, the findings confirm that, through the mediating role of individuals’ behavioral intention to use, self-efficacy is the most influential factor that affects individual’s behavioral intentions to utilize E-learning systems in Ghana’s tertiary education institutions, relative to perceived usefulness and perceived ease of use. This result implies that self-efficacy is the main behavioral intention factor in determining E-learning system utilization, in Ghana’s tertiary education context. This study satisfies or fills an E-learning utilization literature shortfall by the extension of the Technological Acceptance Model (TAM) to investigate antecedents of behavioral intentions and their impact on E-learning systems usage among tertiary education institutions. Also, the study demonstrates the importance of behavioral intention-to-use as playing a full mediating role between self-efficacy and E-learning system usage.


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