Online Learning Readiness and Satisfaction Among Undergraduate Students

Hasim, Nurulhaida; Yusof, Junaidah

doi:10.1007/978-3-031-20429-6_43

Cited by 4 publications

(6 citation statements)

References 13 publications

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“…This ease of interaction and navigation increases how simple they are perceived to use. Hasim and Yusof's [22] insights on online learning readiness and its relationship to satisfaction, which allude to the crucial role that ease of use plays in defining positive learning experiences, further strengthened this argument. The intersection of technology and user-centric qualities like personal innovativeness was extensively explored in the works of Amoroso and Lim [36] and Joo, Lee, and Ham [37].…”

Section: Ai Characteristics Perceived Usefulness and Perceived Ease O...mentioning

confidence: 97%

“…Additionally, by incorporating scientific knowledge into decision-making processes and curricula, AI-driven tools can address sustainability challenges and ensure a comprehensive approach to sustainable development. Studies have explored students' readiness and satisfaction levels in e-learning platforms [22,23]. Yilmaz [34] emphasized the importance of e-learning readiness in the flipped classroom context, suggesting its role in influencing student satisfaction and motivation.…”

Section: Ai Characteristics Perceived Usefulness and Perceived Ease O...mentioning

confidence: 99%

“…The pedagogical implications of emerging AI applications in e-learning, particularly in a Saudi context, still need to be fully understood and evolve quickly. Lastly, a glaring research gap exists regarding Saudi university students' readiness for self-directed e-learning [22,23]. Students are expected to take control of their learning processes by integrating AI and e-learning [22,24].…”

Section: Introductionmentioning

confidence: 99%

“…Lastly, a glaring research gap exists regarding Saudi university students' readiness for self-directed e-learning [22,23]. Students are expected to take control of their learning processes by integrating AI and e-learning [22,24]. There is a need to develop and test an integrated model of TAM and ECM.…”

Section: Introductionmentioning

confidence: 99%

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Exploring the Acceptance and User Satisfaction of AI-Driven e-Learning Platforms (Blackboard, Moodle, Edmodo, Coursera and edX): An Integrated Technology Model

Saqr,

Al-Somali,

Sarhan

2023

Sustainability

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As e-learning platforms gain traction globally, understanding students’ perceptions and intentions towards these platforms is paramount, especially within the context of Saudi universities, where e-learning is rapidly emerging as a transformative educational tool for sustainable development. This study examined the influence of different AI-based social learning networks, personal learning portfolios, and personal learning environments on Saudi university students’ perceived usefulness and ease of use regarding AI-driven platforms (Blackboard, Moodle, Edmodo, Coursera and edX). Furthermore, the study explored the direct effects of these perceptions on students’ satisfaction and intentions to use e-learning. The study also delved into the moderating effects of individual characteristics like readiness for self-directed e-learning, self-efficacy, and personal innovativeness on students’ e-learning intentions. A cross-sectional design was employed, collecting self-reported data from a strong sample of Saudi university students using stratified random sampling. The study targeted 500 students from different universities in Saudi Arabia. Results underscored the significant influence of AI-based social learning networks, personal learning portfolios, and personal learning environments on perceived usefulness and ease of use. Both perceived usefulness and ease of use also significantly and positively influenced satisfaction, influencing students’ attitudes toward e-learning but not their intention to use it. Student characteristics, especially self-efficacy, showed notable impacts on e-learning intentions. However, their interaction with satisfaction yielded insignificant effects on intentions.

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Section: Ai Characteristics Perceived Usefulness and Perceived Ease O...mentioning

confidence: 97%

Section: Ai Characteristics Perceived Usefulness and Perceived Ease O...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Exploring the Acceptance and User Satisfaction of AI-Driven e-Learning Platforms (Blackboard, Moodle, Edmodo, Coursera and edX): An Integrated Technology Model

Saqr,

Al-Somali,

Sarhan

2023

Sustainability

View full text Add to dashboard Cite

show abstract

“…Readiness can refer to a student's pro ciency in managing online learning, while satisfaction refers to a learner's perception of the overall curriculum experience. [ (Hasim & Yusof, 2023)].…”

Section: Introductionmentioning

confidence: 99%

Assessing Digital Learning Platforms in Higher Education with Reference to Student Satisfaction- A PLS-SEM Approach

Singh

Gupta³

et al. 2023

Preprint

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Knowledge and information are crucial to any society's progress; hence the level of education and awareness of its citizens directly affects that progress. In this economy, various factors come into play, such as the availability of educated and skilled workers, the development of novel and efficient systems, and the state of the information infrastructure. The recent epidemic, which prompted widespread lockdowns and restrictions, will continue to be felt for decades. The repercussions of such events have been most noticeable among educators and their students. Thus online education is need of the hour to make sure quality education reaches to each corner of the world on timely basis. So the assessment of digital learning platform in higher education institutions of India is the primary topic of this research. This study examines the various facets of student satisfaction as well as the future of online learning. 460 responses were collected via a Likert-scale questionnaire in a randomly selected online survey. The R programming language was used to do a partial least squares structural equation modeling analysis on the data in R studio. Based on the findings of the study, it is clear that both students and teachers will be able to adapt throughout the course of time, and it is possible that the teaching-learning process will evolve into a hybrid form of education.

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Assessing e-learning platforms in higher education with reference to student satisfaction: a PLS-SEM approach

Singh,

Gupta

et al. 2024

Int J Syst Assur Eng Manag

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Online Learning Readiness and Satisfaction Among Undergraduate Students

Cited by 4 publications

References 13 publications

Exploring the Acceptance and User Satisfaction of AI-Driven e-Learning Platforms (Blackboard, Moodle, Edmodo, Coursera and edX): An Integrated Technology Model

Exploring the Acceptance and User Satisfaction of AI-Driven e-Learning Platforms (Blackboard, Moodle, Edmodo, Coursera and edX): An Integrated Technology Model

Assessing Digital Learning Platforms in Higher Education with Reference to Student Satisfaction- A PLS-SEM Approach

Assessing e-learning platforms in higher education with reference to student satisfaction: a PLS-SEM approach

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