E-learning Readiness Research Articles

Transition from Virtual Reality to Metaverse: Students’ Experiences Regarding the Future of Nursing Education

The study was aimed at determining the effect of educational intervention on nursing students’ awareness of virtual reality (VR), augmented reality (AR), and metaverse in nursing education, both on their level of virtual presence, and their knowledge of, attitudes towards, and awareness of metaverse. A quasi-experimental study with a single-group pretest–posttest design study was conducted at a university. Ninety-three nursing students participated in the present study. Descriptive statistics, independent t-tests, and Pearson’s correlation analysis were used for data analysis. Of all the participants, 60.2% had heard of metaverse, 50.5% had VR experience, and 62.4% said that metaverse could be used in nursing education in the future. The participating nursing students’ experiences regarding their transition from VR to metaverse revealed that their level of readiness for e-learning and knowledge and awareness of metaverse was high. It was concluded that metaverse could be used in nursing education within the possibilities provided by today’s technology.

Examining the Relationship Between Student Online Learning Readiness and Their Satisfaction on Distance Learning.

Assessing Student's Online Learning Readiness is among the critical factors that help higher education institutions to achieve their goals. However, majority of these studies were conducted in western countries. Thus, the current research aimed to examine the relationship between Student's Online Learning Readiness (SOLR) constructs and their satisfaction on distance learning in the higher education institutions in the United Arab Emirates (UAE) context. A quantitative research methodology was used to answer the research question. The questionnaire was distributed among 621 students. SPSS software was used to examine the preliminary data, while SmartPLS software was used for the measurement model and hypotheses. Statistical analysis indicated that there was a positive relationship between satisfaction on distance learning and the following constructs of Student Online Learning Readiness: 1) Technical competencies, 2) Communication competencies, and 3) Social competencies with instructor. While there was no relationship between satisfaction and the following constructs of Student Online Learning Readiness: 1) Social competencies with classmates, and 2) Self-directed learning. The findings extended both student e-learning readiness and satisfaction literature, and supported the applicability of western models such as the Student Online Learning Readiness model developed in the United States in higher education institutions in not often examined contexts such as the UAE. Furthermore, the achieved result extended Yu and Richardson’s (2015) model by examining the impact of self-directed learning as additional construct to overcome the limitation of the used model. Concerning contextual contribution, this research is among the first studies to examine this relationship in the UAE context, which can help decision-makers to understand the significance of investment in student experience and the overall role of student's different competencies on achieving outputs such as their satisfaction with distance learning. With regards to managerial implications, this study confirms the need for implementing national level strategy to identify and enhance human capital required competencies and skills which could help students in the short and long term to achieve the required objectives.

Cross-cultural adaptation, reliability and validity of the Turkish version of the Smart Tools Proneness Questionnaire (STP-Q).

This study elucidates the cross-cultural adaptation, reliability, and validity of the Turkish version of the Smart Tools Proneness Questionnaire (STP-Q), designed to probe into individuals' engagement with smart tools within the Turkish cultural milieu. Undertaking a rigorous adaptation process, this investigation aimed to ensure the questionnaire's relevance and intelligibility, subsequently, assessing its psychometric properties within a cohort of 387 participants. The exploratory factor analysis revealed a tripartite structure that reflects the original instrument, covering utilitarian use, hedonic and social use, and the inclination to delegate tasks. This congruity underscores the STP-Q's adeptness in capturing the complex dimensions of smart tool interaction across various contexts. Demonstrated by a Cronbach's alpha of 0.954 and a test-retest reliability index of 0.851, the results affirm the questionnaire's exceptional internal consistency and significant temporal stability. Further, the execution of convergent validity assessments alongside the E-Learning Readiness Scale and the Nomophobia Questionnaire augmented the STP-Q's validity, unveiling correlations that delineate the intricate interrelations among smart tool proneness, e-learning readiness, and nomophobia. Conclusively, the STP-Q distinguishes itself as a reliable and valid instrument for gauging tendencies towards smart tool use among the Turkish populace, providing profound insights into digital behavior across different cultural backgrounds. Its confirmed three-factor structure and robust psychometric attributes render it an indispensable resource for both individual assessments and expansive digital behavior investigations, enabling cross-cultural comparisons and enhancing our understanding of technology engagement dynamics.

Nurturing Success: E-Learning readiness and academic self-efficacy in nursing students

BackgroundAs nursing education embraces e-learning as a vital component of its pedagogical approach, understanding the interplay between students’ readiness for E-learning and their academic self-efficacy becomes imperative in nurturing successful learning outcomes amidst evolving educational paradigms.PurposeThis study aimed to explore the relationship between e-learning readiness, academic self-efficacy, and the academic achievement of nursing students within the dynamic educational environment.DesignThis study employed a cross-sectional design.MethodsA total of 208 nursing students were recruited through convenience sampling at the end of the second semester in 2022. The evaluation included the utilization of Grade Point Average, the Online Learning Readiness Scale, and the Academic Self-Efficacy Scale.FindingsPrevious research has indicated a significant positive correlation between academic achievement and readiness for e-learning, suggesting that higher levels of readiness for e-learning among nursing students lead to improved academic achievement (p ≤ 0.001). Additionally, the findings of the current study revealed a notable positive correlation between academic achievement and academic self-efficacy (p ≤ 0.001).ConclusionThis study provides valuable insights into the critical role of academic self-efficacy and e-learning readiness in enhancing academic achievement among nursing students.

Assessment of under Graduate Nursing Student’s Readiness for Self-Directed and E-learning

Assessment of under Graduate Nursing Student’s Readiness for Self-Directed and E-learning

Effects of Distance Education Models on Senior Nursing Students' Readiness for E-learning, Self-Directed Learning and Clinical Practice: Mixed Method Design

<b>Aim: </b>COVID-19 pandemic process has had negative effects on education. During the pandemic, the continuation of education was carried out online. The present study aimed to examine the effects of distance education models on the readiness of senior nursing students for e-learning, self-directed learning, and clinical practice.<br /> <b>Material and methods:</b> This study was conducted using a mixed-method design with 58 senior nursing students in the 2020-2021 academic fall semester. Descriptive Characteristics Form, University Students' E-learning Readiness Scale, Self-Directed Learning Readiness Scale, Clinical Practice Readiness Assessment Form and focus group interviews were used.<br /> <b>Results:</b> Distance education models increased the readiness of senior nursing students for e-learning and self-directed learning. In the interviews, some of the students defined online education as good preparation for the clinic, while others stated that they could not feel like a nurse in a real clinical setting.<br /> <b>Conclusions: </b>Distance education as well as in face-to-face nursing education, the importance of using interactive education methods in extraordinary situations such as the COVID-19 pandemic and earthquakes has emerged.<br /> <b>Keywords: </b>COVID-19; distance education; nursing students; e-learning.<b> </b>

E-Learning Experiences Among Nursing Students: A Scoping Review.

Electronic learning (e-learning) is a broader approach to learning that opens up new avenues for studying and teaching in many sectors of education outside of the standard classroom setting. This paper might enhance cultural competence among nursing students and the perspective of the lecturer. Literature databases of Cinahl "Ebsco", Pubmed, and Science Direct were searched, and 326 potentially relevant nursing research articles were reviewed between 2017 and 2022. Fourteen papers were found to meet the inclusion criteria. Fourteen articles were included for scoping review, themes include blended E-learning, nursing students' e-learning readiness, and The challenges with the E-learning system. First: Blended learning may be a beneficial educational strategy in nursing education but it also requires a cautious and carefully planned approach with sufficient time for each student. Second: E-readiness is an important component of academic success, and prospective e-learning users' capacity to use a new learning environment, as well as alternative technologies, is referred to as e-learning readiness. In addition, continuous readiness assessment is required to ensure the successful deployment of e-learning. Thirdly, Accessibility is the most significant challenge students experience; many other issues also challenge e-learning, such as Infrastructure, Ineffective Time Management, and a lack of Instant Communication. E-learning, on the other hand, can provide an alternate mode of education, blended learning Proven to be effective as a modern learning method, students' e-learning readiness was a significant predictor of their satisfaction and motivation in the classroom, there are still concerns about the instructional veracity of e-Learning, as well as how to analyze and overcome hurdles and fears in e-Learning. Specialized implications for practical ramifications include strategic management planning, curriculum enhancement, and raising standards at the lecturer level in several specific areas.

Investigation of e-learning readiness levels of primary school students studying in rural

This study was conducted to determine the e-learning readiness of fourth grade primary school students in villages and towns. The research was designed in descriptive survey model from quantitative research methods. The study group of the research consisted of 165 students, 85 of whom were male and 80 of whom were female. Of these students, 149 live in the village and 16 in the town. The "E-Learning Readiness Scale", which was adapted into Turkish by Bircan et al. (2022), was used as a data collection tool in the study. The research data were analyzed using descriptive statistics, independent groups t-test and one-way ANOVA. As a result of the research, it was found that the e-learning readiness of fourth grade primary school students studying in rural areas differed significantly in favor of girls in terms of gender variable; it differed significantly in favor of computer ownership and internet connection in terms of having a computer and internet connection at home; it did not differ significantly in terms of having a tablet.

Using the Delphi methodology to develop technology criteria to assess e-learning readiness in Higher education Institutions

Many higher education institutions in Viet Nam are adopting e-learning to explore new education opportunities. However, the successful implementation of e-learning depends on various aspects of the organization's readiness, particularly technology readiness. This research aims to identify and develop a scale that measures the requiredtechnology factors for evaluating the readiness of higher education institutions in Viet Nam to deploy e-learning. To achieve this, the authors presented the concept and scales of eight technology factors: hardware, software, connectivity, security, flexibility, skills and support, and data centers. These factors were identified through two roundsof Delphi interviews with 17 experts. This research provides a framework for higher education institutions to assess their readiness to implement e-learning projects based on technological criteria® 2024 Journal of Science and Technology - NTTU

Mapping Students' Readiness for E-Learning in Higher Education: A Bibliometric Analysis

This paper reports the findings of a bibliometric analysis using VOSviewer on 392 Scopus database documents published from 2003 to 2022, aiming to understand the global landscape of the e-learning field and to identify the most prominent authors, institutions, countries and reference publications, as well as the research topics that have recently received the most attention in students’ readiness for e-learning in Higher Education Institutions (HEIs). The findings indicate that there has been an upward trend in e-learning readiness among students in HEIs over time. Among the countries studied, the United States, Taiwan, Australia, and Malaysia were found to have the most effective approaches to addressing students' readiness for e-learning. The most highly cited author in this field is M-L. Hung. Based on the citations, the most recognised journal in this field was Computers and Education and the universities that were most persuasive were two Taiwan universities in the first position. The data also revealed relatively low levels of collaboration among authors, institutions and nations regarding students' readiness for e-learning.

Investigation of e-learning adoption in higher education based on the unified theory of acceptance and use of technology model

The use of information technologies has increased significantly in developing countries like India. Many educational institutes have adopted information and communication technology for academic and administration purposes. While technological devices on college campuses are ubiquitous, students’ readiness for E-learning in India has yet to be thoroughly explored. The study intends to investigate students' intention to adopt E-learning using the Unified Theory of Acceptance and Use of Technology (UTAUT) model. This research was exploratory, and data was collected online from 410 students (of a single university). The findings suggest that ‘performance expectancy,' ‘effort expectancy,' and ‘social influence’ support ‘behavioral intention,' while ‘facilitating conditions’ are not favorable to support usage. Behavioral intention shows positive support for the usage of E-learning platforms. The moderating factors gender, graduation background, and region do not have an impact on behavioral intention or usage of E-learning. The study has positive implications for increasing the adoption of E-learning by the students in educational institutes, universities, and the Government.

"Pupil Teachers' Attitude and Readiness for E-learning"

"Pupil Teachers' Attitude and Readiness for E-learning"

EFL University Students’ Acceptance and Readiness for e-Learning: A Structural Equation Modeling Approach

The use of information and communication technologies (ICTs) has become essential approach in the field of language learning especially for English as a foreign language (EFL) education. Because ICTs are widely use in higher education, students must be highly digitally proficient and have positive attitudes in order to efficiently manage their classes. Thus, the purpose of this study is to contribute to the literature on EFL university students’ perspectives regarding e-learning integration. In this study we extend the technology acceptance model (TAM) to investigate the factors that influence e-learning acceptance and readiness in the context of foreign language learning. Quantitative method was applied in this study, which involved 298 student teachers of English department at a state university in Indonesia. The instrument used in collecting the data was a questionnaire. The collected data were analyzed by using Partial Least Square-Structural Equation Modeling (PLS-SEM) with the SmartPLS3 program. PLS-SEM was used to analyze the proposed hypotheses developed in fulfilling the study objectives. The results indicated the complex relationships between the perceived usefulness, perceived ease of use, perceived enjoyment, motivation, self-efficacy, attitude and actual use of e-learning. Furthermore, the findings revealed that perceived enjoyment and self-efficacy did not have significant influence on actual use of e-learning through the mediating role of perceived usefulness. The findings can help both instructors and students adjust the integration of e-learning in English learning by implementing a learning curriculum and needs that are in line with the user's initial usage objectives, so that users can recognize the importance of e-learning's ease of use and usefulness. This study contributes to educational institutions and e-learning developers to consider developing e-learning apps that support student-centered learning with useful and ease of use to improve students' attitudes towards the use of e-learning. By incorporating e-learning into English language learning, students will have more time to practice and improve their English language skills.

Influence of Students’ Self-Control and Smartphone E-Learning Readiness on Smartphone-Cyberloafing

Aim/Purpose: This research aims to empirically investigate and answer the following research questions: Do students’ self-control and smartphone e-learning readiness influence smartphone-cyberloafing, and does gender play a role in this relationship? Background: Research indicates that many students’ learning time is wasted due to cyberloafing, which involves non-course-related activities on their digital devices. Smartphones present a more significant potential for distracting learners than other technological instruments because of their availability, ease of access, and user-friendly interface. The issue of cyberloafing presents a notable challenge in both traditional (in-person) learning environments and online e-learning settings. However, insufficient relevant contributions have been made. Methodology: An online survey strategy was applied using a self-administered questionnaire technique for data collection. The investigation involved 477 students participated from four universities in Jordan. The partial least squares structural equation modelling (PLS-SEM) method was used to validate the research model and test relationships. Contribution: This study is considered one of the first studies concerned with cyberloafing in e-learning environments; it could be the first one in the Arab world. It provides empirical evidence that supports relevant literature and contributes to the problem-solving of cyberloafing. Also, it provides an excellent direction for future empirical contributions. Findings: The findings reveal that students’ self-control and smartphone e-learning readiness could significantly reduce smartphone-cyberloafing activities of higher education students. However, no significant influence was found on gender in smartphone-cyberloafing. This study offers significant contributions to both theory and practice in education. Theoretically, it advances the understanding of self-control in mitigating smartphone-cyberloafing and highlights the importance of e-learning readiness, enriching the framework for digital student behaviour. It provides actionable insights for educational institutions, policymakers, and educators to address smartphone-cyberloafing by developing interventions that enhance self-control and e-learning readiness. Recommendations include workshops, engaging online activities, learning analytics, faculty training, collaboration with stakeholders, and policies promoting responsible smartphone use. These measures aim to create a productive e-learning environment and improve the overall academic experience. Recommendations for Practitioners: Relevant institutions can develop targeted interventions and support mechanisms to mitigate smartphone-cyberloafing and enhance students’ engagement in e-learning. These may include workshops or resources aimed at improving self-control and e-learning readiness, equipping students with the skills needed to manage their digital learning environments effectively. Educational policies should promote responsible smartphone use as a part of e-learning, encouraging schools and educators to incorporate smartphone-based learning strategies into their curricula and create guidelines for responsible use. Recommendation for Researchers: It is possible to replicate the model while conducting multiple group anal-yses based on these individual differences Impact on Society: The findings of this research may create a more conducive and productive e-learning environment, ultimately improving the academic experience for all students. Such a study could substantially contribute to the sustainability of the education system and society as a whole. Future Research: Future works could prioritize examining cyberloafing behaviours occurring within asynchronous learning settings. Furthermore, future studies could incorporate variables about learners’ differences into the model. Finally, it is essential to note that the results are restricted to a single country. Conducting investigations across multiple countries in future endeavours could yield more precise and accurate outcomes.

Faculty Members’ Perspectives on E-learning Use during COVID-19 among Teaching Faculty at KSAU-HS, Jeddah, Saudi Arabia

Introduction/Objectives: The COVID-19 pandemic's significant effects could alter education in the future. There was an unexpected but necessary transition to online education. This study aimed to examine faculty members' perspectives regarding e-learning during the COVID-19 pandemic, as well as their level of preparedness for e-learning, considering the epidemic's complete lockdown. Methods: The study utilized a survey research (cross-sectional) design. The sample size was calculated to be a minimum of 106 faculty members. A validated electronic questionnaire was communicated to faculty members of four colleges at KSAU-HS, Jeddah. Its primary components addressed e-learning preparation, e-learning experience before and after the COVID-19 pandemic, and demographic data. Results: A total of 112 faculty members, with a response rate of 25%, completed the survey. Females made up 50.9% of the sample, and about 30% were between 36-40 years of age with different academic rankings and teaching experiences. Faculty members revealed that more than half of them were novices with no prior experience in e-learning before the epidemic. Nonetheless, faculty members' perspectives of e-learning were favorable, and they significantly improved after COVID-19 (91.9%) compared to before COVID-19 (45.9%). Most participants were enthusiastic (82.3%) about and confident in using e-learning in teaching and learning. Yet, e-learning was only partially used as a substitute for hands-on skill training and assessment. Regarding the impact of the transition to online education during the pandemic, 87.5% of the participants in the survey expressed increased confidence in the efficacy of online learning and teaching. Additionally, the teaching/learning preference of the participants showed that (61.6%) preferred combining online with traditional face-to-face instruction, (35.7%) preferred traditional face-to-face instruction, and only 3 (2.7%) preferred online instruction alone. Conclusion: This study delivers informative viewpoints on the importance of e-learning and the teaching staff's willingness and competence with it. It calls for improving our institution's e-learning readiness and participation by addressing several individual and infrastructure issues. This is an excellent chance to remove obstacles in e-learning and teaching in medical and healthcare colleges.

E-learning readiness among dental students and faculty: a comparative study before and after the COVID-19 pandemic.

The COVID-19 pandemic accelerated the global adoption of e-learning, even in institutions that had previous reservations. Nevertheless, the impact of this transformation on dental education remains unclear. This study aimed to assess the e-learning readiness of dental students and faculty before and after COVID-19. It also explored their post-pandemic e-learning preferences for dental education. Cross-sectional surveys were conducted at King Abdulaziz University's Faculty of Dentistry (KAUFD) in Jeddah, Saudi Arabia both before and after COVID-19. Faculty and students from two distinct cohorts were recruited at two time points. Participants completed a detailed questionnaire on e-learning readiness across multiple domains. Statistical analysis was performed using R v 3.6.3. Descriptive and group comparisons were conducted using chi-squared test, unpaired t-test, and Spearman's correlation. 1,057 responses (response rate = 99.8%) were analyzed: 2015 (n = 400) and 2021 (n = 657). Both faculty and students demonstrated significant improvements in e-learning readiness across all domains from 2015 to 2021. In 2021, faculty members scored significantly higher than students in almost all readiness domains, except for e-learning experience (p < 0.001 for all domains). After the pandemic, both groups preferred a blended learning model: 75% traditional and 25% online education. A significant increase in typing and editing training requests by faculty and students was observed in 2021. Students showed a decline in training needs for web and online tool usage. The COVID-19 pandemic pushed the rapid adoption of e-learning in dental education. In this study, faculty showed greater e-learning readiness, but students voiced concerns about missed in-person interactions, social isolation, and screen fatigue. Further multi-institutional studies are required for more comprehensive insights.

Constructs in the Institutional E-Learning Readiness Models: A Literature Review

Learning continuity amidst the COVID-19 pandemic is being advocated by many. As a result, many educational institutions worldwide are turning to e-learning or online learning as a solution. Nevertheless, many of them have never used e-learning before. Accordingly, this literature review aims to gather pertinent data about the constructs existing institutional e-learning readiness models. There were 42 models found in various databases between the year 2000 and January 2021, according to the search keywords “(institution or institutionalize) and readiness and (online learning or e-learning).” This review discusses the most frequently cited constructs in various models and other relevant information which are critical for the development of a new model and/or the adoption of an existing model to assess an institution’s readiness for e-learning delivery.

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

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.

Factors for Successful Implementation of E-Learning Readiness: Harnessing the Potential for Organizational Success

Factors for Successful Implementation of E-Learning Readiness: Harnessing the Potential for Organizational Success

대학생의 이러닝 준비도, 실재감, 학습성과의 구조적 관계

For this study, a survey targeting 420 students from a 4-year university in Cheonbuk Province. The specific findings of this study are as follows. &#x0D; First, the research model devised to examine the structural relationships among e-Learning readiness, presence(teaching presence, cognitive presence) and learning performance(perceived achievement, learning satisfaction, intention to persist in learning) perceived by the university students was fit. This means there are significant structural relationships among e-Learning readiness, presence(teaching presence, cognitive presence) and learning performance(perceived achievement, learning satisfaction, intention to persist in learning). Second, when analyzing the direct effects of the variables, the significant direct effects were found between 1) e-Learning readiness and learning satisfaction, 2) e-Learning readiness and intention to persist in learning, 3) e-Learning readiness and presence(teaching presence, cognitive presence), 4) teaching presence and learning performance(perceived achievement, learning satisfaction, intention to persist in learning), 5) teaching presence and cognitive presence, and 6) cognitive presence and learning performance(perceived achievement, learning satisfaction, intention to persist in learning), except for the direct effects on e-Learning readiness and perceived achievement. Third, when analyzing the indirect effects of the variables, there were significant mediating effects of teaching presence in the relationship between 1) e-Learning readiness and learning performance(perceived achievement, learning satisfaction, intention to persist in learning), and of cognitive presence in the relationship between 2) e-Learning readiness and learning performance(perceived achievement, learning satisfaction, intention to persist in learning). Also, the double-mediating effects of teaching presence and cognitive presence were significant in the relationship between e-Learning readiness and learning performance(perceived achievement, learning satisfaction, intention to persist in learning).&#x0D; This study verified the causal relationships of individual variables, which are relevant to high learning performance in university e-Learning and suggested a methodology to enhance the level of learning performance. In conclusion, the study suggests the need for an instructional design to reinforce e-Learning readiness for enhancing learning performance and for a consideration of teaching presence and cognitive presence factors for an instructional design.