E-learning is a web-based learning ecosystem for the dissemination of information, communication, and knowledge for education and training. Understanding the impact of e-learning on society, as well ...as its benefits, is important to link e-learning systems to their success drivers. The aim of this study is to find the determinants of user perceived satisfaction, use, and individual impact of e-learning. This study proposes a theoretical model integrating theories of information systems' satisfaction and success in the e-learning systems. The model was empirically validated in higher education institutions and university centers in Brazil through a quantitative method of structural equation modeling. Collaboration quality, information quality, and user perceived satisfaction explain e-learning use. The drivers of user perceived satisfaction are information quality, system quality, instructor attitude toward e-learning, diversity in assessment, and learner perceived interaction with others. System quality, use, and user perceived satisfaction explain individual impact.
•Study on e-learning systems success for Brazilian context.•Model integrates information systems success theory with e-learning satisfaction theory.•Collaboration, information, and system quality are success determinants for Brazilian e-learning systems context.•User satisfaction dimensions are success determinants in e-learning systems.•User satisfaction has a direct and indirect effect on learners' individual impact.
This study examined the extent to which instructional conditions influence the prediction of academic success in nine undergraduate courses offered in a blended learning model (n=4134). The study ...illustrates the differences in predictive power and significant predictors between course-specific models and generalized predictive models. The results suggest that it is imperative for learning analytics research to account for the diverse ways technology is adopted and applied in course-specific contexts. The differences in technology use, especially those related to whether and how learners use the learning management system, require consideration before the log-data can be merged to create a generalized model for predicting academic success. A lack of attention to instructional conditions can lead to an over or under estimation of the effects of LMS features on students' academic success. These findings have broader implications for institutions seeking generalized and portable models for identifying students at risk of academic failure.
•Predictive models in learning analytics need to account for instructional conditions.•Instructional conditions are based in the theory of self-regulated learning.•The study was conducted with a nine undergraduate blended learning (n=4139) courses.•Generalized predictive models were not suitable to inform practice and research.•Course specific models better detected variables of relevance for teaching practice.•Further implications for educational research and practice are discussed.
E-learning, as a direct result of the integration of technology and education, has emerged as a powerful medium of learning particularly using Internet technologies. The undeniable significance of ...e-learning in education has led to a massive growth in the number of e-learning courses and systems offering different types of services. Thus, evaluation of e-learning -systems is vital to ensure successful delivery, effective use, and positive impacts on learners. Based on an intensive review of the literature, a comprehensive model has been developed which provides a holistic picture and identifies different levels of success related to a broad range of success determinants. The model has been empirically validated by fitting the model to data collected from 563 students engaged with an e-learning system in one of the UK universities through a quantitative method of Partial Least Squares - Structural Equation Modelling (PLS-SEM). The determinants of e-learning perceived satisfaction are technical system quality, information quality, service quality, support system quality, learner quality, instructor quality, and perceived usefulness, which together explain 71.4% of the variance of perceived satisfaction. The drivers of perceived usefulness are technical system quality, information quality, support system quality, learner quality, and instructor quality, and these explain 54.2% of the variance of perceived usefulness. Four constructs were found to be the determinants of e-learning use, namely educational system quality, support system quality, learner quality, and perceived usefulness, and together they account for 34.1%. Finally, 64.7% of the variance of e-learning benefits was explained by perceived usefulness, perceived satisfaction, and use.
•Study on evaluating e-learning systems success in one of the UK universities.•Four approaches for evaluating e-learning systems success.•A comprehensive model based on DeLone & McLean IS model, TAM, e-learning satisfaction models and e-learning quality models.•Seven quality factors are success determinants: system, information, service, educational, support, learner, and instructor.•Determinants of e-learning benefits are: perceived usefulness, perceived satisfaction, and use.
Entrepreneurial women are those who run a business innovatively, they are also very confident, creative and able to achieve economic independence both individually and collectively with others and ...increase their active role in economic activities. Entrepreneurship that exists within individuals arises from objective realities that exist in society, which will continue to develop and interact and acculturate so that it will create a new identity for the person concerned so that this raises questions and needs to be studied more deeply about the process of significance in the process. the lessons that women entrepreneurs take towards their business success. This research was conducted in an effort to comprehensively reveal the existence of women entrepreneurs in their activities by using a qualitative approach in order to obtain deeper results. The way in which women entrepreneurs experience the learning process is found in terms of internal locus of control. Learning is important in entrepreneurship, because entrepreneurship reflects the complex interactions between individuals and business situations that are always changing.
A System's View of E‐Learning Success Model Eom, Sean B.; Ashill, Nicholas J.
Decision sciences journal of innovative education,
January 2018, 2018-01-00, 20180101, Volume:
16, Issue:
1
Journal Article
Peer reviewed
Open access
ABSTRACT
The past several decades of e‐learning empirical research have advanced our understanding of the effective management of critical success factors (CSFs) of e‐learning. Meanwhile, the ...proliferation of measures of dependent and independent variables has been overelaborated. We argue that a significant reduction in dependent and independent variables and their measures is necessary for building an e‐learning success model, and such a model should incorporate the interdependent (not independent) process nature of e‐learning success. We applied structural equation modeling to empirically validate a comprehensive model of e‐learning success at the university level. Our research advances existing literature on CSFs of e‐learning and provides a basis for comparing existing research results as well as guiding future empirical research to build robust e‐learning theories. A total of 372 valid unduplicated responses from students who have completed at least one online course at a university in the Midwestern United States were used to examine the structural model. Findings indicated that the e‐learning success model satisfactorily explains and predicts the interdependency of six CSFs of e‐learning systems (course design quality, instructor, motivation, student‐student dialog, student‐instructor dialog, and self‐regulated learning) and perceived learning outcomes.
Grit in the path to e-learning success Aparicio, Manuela; Bacao, Fernando; Oliveira, Tiago
Computers in human behavior,
January 2017, 2017-01-00, 20170101, Volume:
66
Journal Article
Peer reviewed
E-learning systems are emerging in many settings of our society. Schools, universities, and several other organizations use these systems. E-learning systems allow learning anytime and anywhere. This ...medium may seem to be the answer to all learning barriers, but the effect of non-cognitive skills on the success of e-learning systems is yet to be explored. Latest studies demonstrate that students with high grit levels, stamina in pursuing long term objectives, achieve better results in learning. In our study we propose a theoretical model studying grit as a determinant of e-learning systems success. The study was conducted on a sample of university students' sample, and a theoretical model was validated using structural equation modeling (SEM). Results indicate that grit has positive effects on satisfaction and in students' individual performance. The results help to improve e-learning strategies and to understand e-learning success, explained by students’ skills and systems characteristics.
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•Study about Grit impact on the use and satisfaction of e-learning systems.•Study supports Grit as a second-order construct of perseverance and consistency.•Non-cognitive student's characteristic determines information systems' success.•E-learning success determined by Grit, information, system, and service quality.
This study analyzes the effectiveness of task-based learning in the History and Culture Research Methods class. This approach focuses on engaging students through goal-oriented assignments that are ...relevant to real life. This study aimed to see the effectiveness of task-based learning on students' abilities in the Historical and Cultural Research Methods class and to find an effective implementation strategy. This study used a descriptive qualitative approach to collect data through observation and research on ten Japanese Language and Culture Study Program students, semester 6, Darma Persada University, academic year 2021/2022. The research outcomes suggest that using the task-centered approach proves efficient in augmenting student involvement and active involvement in the educational process. The use of tasks that are relevant to the learning objectives increases student interest and facilitates learner-centered learning. This study underscores the importance of a task-based approach in learning Historical and Cultural Research Methods. In conclusion, this strategy can improve learning outcomes by stimulating active student involvement, supporting the introduction of historical and cultural concepts, and encouraging greater participation in the learning process.
► Technical system quality is one component of measuring the success of e-learning system. ► More user satisfaction leads to increase the success of e-learning systems. ► Educational system quality ...and service quality are interrelated with each other. ► More interests to e-learning systems usage will cause the user goals achievement.
In the era of internet, universities and higher education institutions are increasingly tend to provide e-learning. For suitable planning and more enjoying the benefits of this educational approach, a model for measuring success of e-learning systems is essential. So in this paper, we try to survey and present a model for measuring success of e-learning systems in universities. For this purpose, at first, according to literature review, a conceptual model was designed. Then, based on opinions of 33 experts, and assessing their suggestions, research indicators were finalized. After that, to examine the relationships between components and finalize the proposed model, a case study was done in 5 universities: Amir Kabir University, Tehran University, Shahid Beheshti University, Iran University of Science & Technology and Khaje Nasir Toosi University of Technology. Finally, by analyzing questionnaires completed by 369 instructors, students and alumni, which were e-learning systems user, the final model (MELSS Model1Measuring e-learning systems success.1).
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