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The paper reports a study that was intended to develop a self-assessment instrument to measure high school students' readiness for pursuing independent online learning.

The instrument was developed through the following steps: (1) developing the draft, (2) checking the instrument's face validity and (3) testing the instrument's validity, reliability and discriminant capacity using PLS analysis.

The study has developed a tool to self-assess high school students' readiness for independent online learning. The instrument consists of 36 statement items and is statistically proven to have good reliability, construct and indicator validity and a discriminating power.

The instrument items were designed to fit the context of Indonesian high school students. However, only responses from high school students in rather urban areas were used to test the validity and reliability of the instrument. This could imply that the instrument is only accurate in urban settings.

As a result of the research, a tool to assess high school students' readiness for independent online learning has been created. To better prepare students for independent online learning endeavors, the school might use the results to enhance areas that need improvement.

The study succeeded in developing a contextualized self-assessment tool for measuring Indonesian students' independent online learning readiness.

The world after the pandemic of Covid-19 is looking at a different environment in teaching and learning and primarily being influenced by general online learning readiness. Perception towards the measurement of online learning readiness would also need to change. This study seeks to determine whether Malaysian undergraduate students are ready to study online if the Movement Control Order (MCO) is reimposed.

Using an online poll, this study analysed 299 undergraduate students from Malaysia's public and private universities. The collected data were then analysed using SmartPLS software to test the measurement model and structural equation modelling.

The findings of this study indicate that computer self-efficacy and self-directed learning have a substantially positive link with online learning preparedness among Malaysian undergraduate students.

Findings in this study indicate that universities should draw comprehensive plans to enhance students' readiness in terms of indicators such as technology usage, technology availability, computer and internet efficacy, self-directed learning and attitude. One of the aspects that require change is online communication self-efficacy. Thus, there is a need for improvement, or this would affect undergraduates adversely, especially in the event of future MCO.

The originality of this article lies in the time frame this study was conducted, where cases of coronavirus infection are seen to increase around the world and there is a possibility that movement restrictions will be re-enforced. The findings in this study are expected to give insight to the government in the effort of the national higher education plan. By not undervaluing previous research models, this research model should give a new perspective to the academic literature on online learning among undergraduate students.

This paper aims to study the perception of school students towards online classes via virtual meeting applications and to unravel the teachers' preparedness and students' preparedness for running synchronous online classes and its impact on student's engagement and their satisfaction during the period of lockdown due to COVID-19.

On the basis of focused group discussions with teachers and students of top 10 private CBSE affiliated schools (National capital Region, Delhi, India), survey instrument was constructed. Further, 489 valid responses were finally analysed through partial least square (PLS) method and structural model was tested.

All the six independent variables such as teachers' structured approach, teachers' technical readiness, teachers' self-efficacy, students' technical readiness, students' autonomy and students' self-efficacy influenced students' engagement and satisfaction towards synchronous online classes significantly. The result of the structural model also reveals that students' engagement is a significant predictor of students' satisfaction.

The paper outlines the scope for future research in ascertaining more critical success factors other than satisfaction and engagement. Scope of this research suggests inclusion of not only schools but framework is also important for college and university level educational bodies. Data collection was confined to students only whereas viewpoint of teachers and parents may also be included.

This study devised a collaborative form of learning where both the parties learnt while making continuous interactions and also co-created value in terms of new skills. Provision of autonomy given to students can't be overlooked as an important indicator for his/her preparedness. As a result, students feel motivated to get engaged in the whole process which makes them satisfied and will be able to identify the learning outcomes equal to or greater than in physical classroom settings.

Coronavirus disease 2019 (COVID-19) pandemic has led education institutions to move all face-to-face (F2F) courses online across the globe. The purpose of this study was to investigate Indian students’ perception of readiness for this sudden shift and at the same time, report a possible approach of good institutional governance to respond to such an unprecedented crisis.

This study followed a mixed approach combining both quantitative (e.g. survey) and qualitative (e.g. interview) methods. A survey was distributed among 100 purposively selected students out of which 50 were college students and 50 were from secondary schools following heterogeneous purposive sampling techniques. In total, 30 participants were interviewed as per a set interview protocol. Data were analyzed descriptively and inferentially based on several demographic differences.

Findings revealed that students were neither satisfied nor ready for this sudden shift toward online education rather they felt fear, uncertainties, and several challenges owing to a deep digital divide to adapt to this unprecedented shift. They were found absorbed in memories of F2F mode before the COVID outbreak and take this online shift as a temporary adjustment owing to respond to the pandemic finding no possible alternate.

This study contributes and extends corporate governance literature by offering new evidence of perception differences between the company and customers as well. Education providers often assume that students desire online courses for their convenience and believe it equivalent to or better than F2F courses. This study challenges these managerial perceptions by examining students’ studies empirically and the findings will help regulators and policymakers to change accordingly.

The article aims examine an integrated model of the technology acceptance model (TAM), the unified theory of acceptance and use of technology (UTAUT) and DeLone and McLean information systems (D&M IS) success model to determine the effects of online learning readiness (OLR) on learners' online learning system (OLS) usage and their satisfaction. The authors also investigate the relationship between performance expectancy, effort expectancy, social influence and OLR of students. Moreover, this work examines the mediate role of learner satisfaction in the linking of OLS usage and performance in Vietnamese higher education.

A total of 558 valid questionnaires were collected from students at five large universities in Vietnam to test the fit of proposed model, measurement model and structural relationships between constructs by using partial least squares (PLS) path analytics.

Performance expectancy, effort expectancy and social influence have significant positive effects on OLR of students in online learning context. OLR has a positive impact on both learner satisfaction and OLS usage. The learner performance is significantly influenced by satisfaction while it is indirectly affected by OLS usage via satisfaction. In addition, OLS usage plays as a partial mediation variable in the relationship between OLR and satisfaction. The path model could explain 56% of variance of the learner performance.

This study has a few limitations. First, this study is cross-sectional, which allows the elaboration of correlations between variables but lacks confidence in causality exploration. Second, the self-reported data are inherently subjective, which might generate biased results in measuring learner performance.

This research has implications for instructors and higher education organizations. The findings provide insights for instructors to manage efficiently the OLS adoption of students. Higher education organizations should understand and identify factors in terms of OLR, OLS usage, learner satisfaction and learner performance when OLSs are implemented in university. Performance expectancy, effort expectancy and social influence have been criticized for considering OLR.

This is the first empirical study to determine relationship between performance expectancy, effort expectancy, social influence, OLR, OLS usage, satisfaction and performance in the context of online learning environment in Vietnam.

The purpose of this study is to explore the role individual innovativeness along with e-learning self-efficacy play in predicting the e-learning readiness of first- and second-year students of an open and distance education institutions in an African context.

Therefore, building on previous related research in this area, a quantitative approach was adopted to address the research questions and to establish whether a statistically significant relationship existed between individual innovativeness, e-learning self-efficacy, the independent variables; and e-learning readiness, the dependent variable. In total, 476 first- and second-years students of the university participated in the four-Likert-type scale survey. The research instrument which comprises 74 survey items was completed by 217 of the students. Statistical tools used for analysing data included both Pearson Product Moment Correlation coefficients and t-tests.

It was discovered that a strong positive and significant relationship was observed between individual innovativeness and e-learning readiness of first- and second-year students of the Yenagoa Study Centre of the National Open University of Nigeria (NOUN); a statistically significant relationship was also found between e-learning self-efficacy scores and the e-learning readiness of the first- and second-year students of the Yenagoa Study Centre of NOUN; there was a statistically significant joint relationship between the three variables under investigation; findings equally revealed that male respondents had higher e-learning readiness than their female counterparts.

Like every other study of this nature, this one also suffers some limitations. First, NOUN is a very large university with over half a million students spread across almost 78 study centres. This means that observation from just one study centre amounts to a very small sample size. This according to Schweighofer, Weitlaner, Ebner and Rothe (2019) jeopardises the generalisability and validity of study results. The authors also maintain that empirical data generated from surveys that usually rely participants' abilities to read and select responses without further interpretation by the researchers suffer from cognitive biases like social desirability. To address the above limitations, detailed studies involving all studies centres of NOUN be undertaken and other qualitative and or mixed research methodologies be adopted in the future.

The implications for this study are that people who are innately innovative will willingly accept technology and by extension, learning in technology-rich environments like those found in like NOUN whose mode of study is blended learning inherently found in open and distance learning (ODL) institution. Therefore, this study is significant as it will provide relevant information to the management and administrators of NOUN, policymakers and regulatory institutions for the development, deployment and implementation of e-learning strategies. Findings will also benefit e-learning initiatives undertaken by similar institutions that adopt the ODL mode of education in Nigeria and other developing countries.

Even though, studies on the antecedents of e-learning readiness have been widely conducted across diverse contexts, studies exploring the associations between individual innovativeness, e-learning self-efficacy and e-learning readiness are relatively hard to come by. The above two variables as predicting the e-learning readiness in the study context are comparatively new. This study thus focuses on the relationships between the individual innovativeness levels, e-learning self-efficacy beliefs of students and their e-learning readiness which ultimately determines their ability to sustain studies in an ODL institution.

E‐learning is emerging as a potential delivery medium for education and training. This is evident from the increasing number of educational institutions and organizations adopting e‐learning. In India, there has been an upsurge in the number of students going for management education. But, before management institutes embark on this e‐learning journey, it is important to assess student readiness for this medium. The purpose of this paper is to examine the awareness levels, degree of familiarity and readiness to accept e‐learning environment.

Exploratory study and personal interviews were conducted to design the instrument which was administered to 240 students pursuing management education at the Indian Institute of Management, Ahmedabad (IIM‐A), which is a premier business school in India. A total of 154 duly filled questionnaires were used for data analysis. Factor analysis, cluster analysis and chi‐square test were carried out to meet the objectives of the study.

Factor analysis resulted in identification of five factors which were given names. Further, two clusters were identified among the respondents. To examine if the cluster profile varied in demographic variables, a chi‐square test showed that none of the demographic variables are statistically related to the clusters.

The sample was comprised of students of a business school and therefore it may not be representative of all students studying business management. Second, since the sample comprised only 17 female students, generalization of results is difficult.

The research holds relevance, as an assessment of prior exposure to technology and comfort level, attitude, behavior and motivation may determine the e‐learners’ readiness to adopt or not adopt this medium.

The paper brings forth student readiness for e‐learning as a medium of education in India. This may serve as a guide to those business schools which have started delivering management education or plan to deliver online education in future.

This study examines higher education students' technology readiness level in explaining adoption intention toward educational Internet of Things (IoT) needed for online learning.

Quantitative deductive research approach is used to check the theory of technology readiness index toward IoT in education. An online administrated questionnaire is distributed through convenience sampling to reach generation(Z) students. The questionnaire is developed using Google form, placing the link on various universities' social media platforms so to be accessible to the respondents. Path coefficient analysis of SEM is used to test the hypotheses.

Results show that the individual's level of technological optimism, discomfort and insecurity impact adoption intentions toward IoT products and services for online learning; the mental motivator, innovativeness, is insignificant.

This study helps guide practitioners (education institutions, IoT-developers, marketers and other professionals in the field) to consider students' mindset when designing products and strategies for promoting online learning and introducing educational IoT. This research provides insights on IoT in higher education; it provides perspectives for IoT adoption intention pro-online learning, aiding institutions looking for trends and practices for skills and work-based learning developments.

This study contributes to knowledge and literature by shedding light on the educational challenge of why not all students could harness the potentials of online learning and IoT of the twenty-first century. It provides insights to clarify students' mindset toward educational IoT needed for online learning.

The purpose of this study is a comparative analysis of psychological distress between online and on-campus learning among university students. The study was performed to investigate the comparative analysis of psychological distress between online and on-campus learning among university students.

This study is a quantitative, comparative study. Data were collected through convenient sampling technique from different university students. The sample size of the study was (n = 200) and the sample was taken from universities. Three scales, students’ readiness learning scale, DASS-21 Scale and on-campus learning scale, were used for data collection and the data were analyzed statistically. The analysis was carried out by the statistical tests correlation test, t-test and linear regression.

It was revealed through this study that on-campus learning is more preferred by the students than online learning. The findings were that online learning has more psychological distress among students than on-campus learning. Additionally, it was found that as compared to males, females have more tendency toward depression, anxiety and stress. Findings also revealed that married students have a larger tendency toward depression, anxiety and stress as compared to unmarried students. No socioeconomic significance difference was found. Moreover, it was revealed that working students prefer online learning to on-campus learning.

Learning has a significant impact on students’ future settlement, independence and well-being. The findings of this research study can contribute to understanding the educational system and determining which learning system is better for students and for the students’ mental well-being.

Learning has a significant impact on students’ future settlement, independence and well-being. This paper contributes by offering practical insights for educators and policymakers.

The purpose of this chapter is to share the structure and strategies that institutions can use to transform the experience of students learning at a distance. Details on how one of the largest educational systems in the United States, the State University of New York (SUNY), reshaped the student online learning experience via the “Open SUNY” model will be described. Specific strategies for infusing existing models of support with new ways of thinking will be explained.

In particular, this chapter will explore the infrastructure of the Open SUNY model of collaboration, the use of the Open SUNY Institutional Readiness approach for preparing colleges to deliver quality online programming, and the unique Open SUNY+ Signature Element program for assessing the quality of online programming and support structures.

This chapter will also highlight the efforts of one campus, SUNY Canton, to leverage Open SUNY and take its signature element on student engagement to the next level. A case study on Canton will show how the campus incorporated online students in all aspects of campus life to reduce student isolation. Specific online student engagement strategies will be provided.