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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 present commentary on adult safeguarding designated officers’ (nominated senior staff members in the Health Service Executive and its funded services) in Ireland readiness for online learning and their perception of the blended approach used in their training and considers the implications of this for practice.

In total, 233 designated officers were surveyed. A self-administered online survey comprising of two instruments was used. The questionnaire combines two previously validated tools measuring readiness for online learning and perceptions of blended learning. Minor modifications were made to account for local circumstance and language. Demographic questions relevant to the survey population were added. The response rate was 49%.

Designated officers regarded specified competencies for online learning as important to very important with highest importance placed in time management. Designated officers expressed they were confident to very confident in their ability to accomplish all competencies in online learning. The highest confidence was in the technical competencies. Designated officers are demonstrating high readiness for online learning. Designated officers reported positively on online contributions and on blended learning workload. The scores indicate positive perceptions of the blended learning experience. Responses to an open-ended question were largely positive with some suggestions for improvement made.

Findings have helped inform planning and development of the Health Service Executive’s adult safeguarding training for designated officers with changes made since this survey was undertaken.

To the best of the author’s knowledge, this is the first time a survey was undertaken of designated officers in Ireland with a view to improving safeguarding training. Recommendations for adaptions to the blended designated officer programme were proposed and subsequently accepted and implemented.

This study aims to investigate how online teaching of faculty members is affected by technological readiness (TR) of using online teaching platforms. The study sheds light on how many faculty members were ready to use different online platforms during COVID-19 period.

This study used TR measures to determine the impact of optimism regarding the perceived usefulness and ease of usage, impact of innovativeness in terms of perceived usability and ease of use, the influence of discomfort on perceived usefulness and ease of usage, the effect of uncertainty on perceived usefulness and ease of use and the influence of perceived usefulness and ease of use on behavior. An online questionnaire survey was conducted among 255 faculty members of different private universities of Bangladesh. The sample was chosen based on a convenience method. The responses were analyzed using partial least square (PLS) approach with the help of software Smart PLS 3.

The finding supported all of the hypotheses except that discomfort and insecurity have a positive relationship with ease of use and usefulness.

The study will help faculty members in developing their competency in using technologies in their pedagogy. Also, this study will provide some guidelines to the university management in developing adequate technological infrastructure to aid teaching.

The aim of the study was to investigate the faculty members' readiness level with respect to online teaching. The technology assessment model (TAM) was used to determine the readiness index. The study intended to validate the hypotheses regarding the extent to which the faculty members perceived that TAM factors affect Ease of Use and Usefulness of online teaching. Also, this research analyzed the perception of faculty members that Ease of Using online teaching affects its Usefulness. Lastly, the study examined how their perception of Ease of Use and Usefulness affect Intention to Use online as a mode of teaching. It was found from the study that each of the TAM factors, Optimism, Innovativeness, Insecurity and Discomfort has positive and significant contribution on the Ease of Use. On the other hand, Optimism, Innovativeness, Insecurity and Discomfort have positive and significant contributions on the Usefulness. The study also revealed that Ease of Use has positive and significant contribution on the Usefulness. Lastly, it was found that Ease of Use and Usefulness have positive and significant contribution on the Intention to use. Teaching remotely is still a novel concept, and it is more difficult for people who have not done it before. Many teachers became burned out as a result of trying to adjust to new teaching methods, especially after the lockdown began. They were having a difficult time since there was so much ambiguity. When a teacher is well-versed in communication tools, it can improve learning efficiency. When they are properly trained, deploying engaging features of virtual learning, such as audio-visual lessons, quizzes, and so on, becomes simple, and students become eager to learn more. Teachers can plan their classes, prepare and master technology and create innovative and stimulating discussion topics (Mishra et al., 2020). They need to utilize a variety of technological options. They can rehearse virtual classroom management with colleagues if they face any difficulty. All of the aforementioned abilities can be honed with the assistance of an integrated academic system. Teachers can be trained by educational institutions to ensure a smooth learning process through the use of ICT (information and communication technologies) (Scherer et al., 2021; Mishra et al., 2020). The training will assist teachers in efficiently taking online classes. Institutions should ensure that teachers are well-suited to teach online and are skilled at keeping students engaged during remote learning. To make every chapter engaging, aspects such as videos, slides, images and digital copies of books and workbooks can be used. This allows students to receive personalized support and counseling in order to maintain their motivation (Sahu et al., 2022; Lapitan et al., 2021). Every other day, group doubt resolution classes ensure that there are no gaps in learning (Lapitan et al., 2021). All teachers require is a digital mindset, the appropriate tools and a committed approach (Sahu et al., 2022). If teachers can hold their students' attention, they can easily deliver an effective learning experience (Lapitan et al., 2021).

This study was conducted to identify technological preparedness of faculty members of private universities in Bangladesh during COVID-19 period. Some studies were there to assess such kind of preparedness but none of those used TAM and technology readiness model either in isolation or in combination. Also, this paper focused on teachers' readiness in contrast to students' readiness specific to private universities.

This study aims to develop a model for readiness measurement and to study readiness levels for online testing of undergraduate students in Thailand’s distance education programs.

In total, 870 undergraduate students enrolled in the 2022 academic year of a Thai university were sampled for the study. The samples were divided into two groups: Group 1 comprised 432 students who underwent exploratory factor analysis (EFA) and Group 2 comprised 438 students who underwent second-order confirmatory factor analysis (CFA). Both were multi-stage random samples. Descriptive statistics, item-total correlations (ITCs), coefficient correlations, EFA and second-order CFA were used.

The readiness for the online testing model comprised 5 factors and 33 indicators. These included self-efficacy (SE) in utilizing technology (nine indicators), self-directed learning (SL) for readiness testing (six indicators), adequacy of technology (AT) for testing (five indicators), acceptance of online testing (AC) (seven indicators) and readiness training for testing (six indicators). The model was congruent with empirical data, and the survey results indicated that students were highly prepared at the “high” level.

This study disclosed several factors and indicators involved in the readiness for online testing. The university may use these findings in preparing its students for online testing for better achievement.

These findings may serve as a framework for the analysis of the readiness issues for online testing of undergraduate students and also offer guidance to the universities preparing to offer online testing.

Coronavirus (COVID-19) outbreak has utterly disrupted the worldwide education system and compelled an emergency immersion of unplanned and rapid online teaching-learning. The online teaching readiness would highly depend on the competencies of teachers and skills to adapt the pedagogy and new roles by the teachers. In this context, this study aims to assess higher education institutions (HEIs) teachers’ readiness to handle online education based on the online teaching readiness competencies model.

A structured questionnaire has been adopted to survey and collect data from 296 teachers of HEIs across India. The questionnaire consisted of 29 constructs. The constructs in this section were measured using a five-point Likert scale ranging. In the first step first-order confirmatory factor analysis (CFA) is carried out, by using the software IBM AMOS-26. The initial model is generated for five constructs and outcomes are used to analyze the model’s goodness of fit and construct validity. In the second step structural equation modeling (SEM) is carried out to do the path analysis of the proposed model.

The findings connote that the level of course design competencies, communication competencies, time management competencies are not sufficient among the teachers of HEI of India, whereas the technical competencies possessed by the teachers meet the requirements for readiness to handle online education. The research is an attempt to provide possible explanations for establishing relationships between the constructs and discusses the usage of information, which can be further used to enhance the online teaching readiness competencies for the teachers of HEIs of India.

The research is an attempt to provide possible explanations for establishing relationships between the constructs and discusses the usage of information, which can be further used to enhance the online teaching readiness competencies for the teachers of HEIs of India.

Teachers’ competencies are a vital part of teaching online which has become the need of the hour in this COVID-19 outbreak. Because of the need for emergency response and strategies to minimize learning disruption at higher education, the study identifies the online teaching readiness competencies possessed by the online teaching communities and provides guidelines to enhance their capacity to build up the longer-term resilience of education systems. The study will be a ready reckoner for online training competencies which can be used as training need analysis to make each teacher highly competent to impart knowledge using online teaching platforms.

Universities have shifted from face-to-face learning environments to e-learning in response to the COVID-19 pandemic. However, the sudden change to online teaching has raised concerns among lecturers about students' readiness for e-learning. This study investigates students' readiness for e-learning during the COVID-19 pandemic and specifically assesses any significant differences between students' gender, age, ethnicity, level of education, field of study and their readiness for an e-learning environment.

The study employed a non-experimental quantitative research design. Data were gathered from a sample of 298 undergraduate and 101 postgraduate students. WINSTEPS Rasch model measurement software was used to determine the reliability and validity of the research instrument. Descriptive, inferential statistics and differential item functioning (DIF) test were used to assess students' readiness for an e-learning mode of instruction with the latter specifically analysing students' demographic factors and their readiness for an e-learning environment.

Findings identified that most students are ready for an e-learning mode of instruction. Further analysis indicated that there were differences in students' readiness for e-learning based on their demographic profiles.

This study provides insights on students' readiness towards e-learning, discusses implications for e-learning practices in higher education institutions during the COVID-19 pandemic and offers recommendations for future research.

This study provides evidences of students' readiness for e-learning in respect to their gender, age, ethnicity, level of education and field of study. This information could help lecturers to reflect on their own teaching practices, adjust their teaching approaches and subsequently, develop appropriate e-learning methods that best suit the student diversity in their classrooms.

This study aims to study the adoption of online learning in higher education through the perspective of the readiness of the following factors: self-directed learning (SDL), motivation for learning (ML), online communication self-efficacy (OCE) and learner control (LC). This was an empirical study in the context of developing countries, specifically Thailand.

This research applied a quantitative study method by collecting data from 605 higher education students in autonomous government institutions. The data analysis applied a structural equation model (SEM) to identify the significant determinants that affected the adoption of online learning. Moreover, this study applied a neural network model to examine the findings from the SEM.

From the data analysis using the SEM and neural network model, the results matched each other. The results of the empirical study were firm and supported that the readiness factors of students had statistical significance in the following order: SDL, OCE, LC and ML.

The study results showed an operational perspective to be prepared for online teaching, both for the related department of the Ministry of Education to support the infrastructure for online learning and for universities and instructors to create learning conditions and design teaching processes consistently with the online learning context.

Since the learning management in the 21st century is focused on student-centred learning, the empirical results obtained from this study presented the view of learners’ readiness that would influence the acceptance of online learning. In addition, this research presented the challenges and opportunities of online instruction during the COVID-19 pandemic.

Based on the literature on technology readiness, online learning readiness, and mobile computer anxiety, the purpose of this paper is to develop and validate a mobile learning readiness (MLR) scale which can be used to assess individuals’ readiness to embrace m-learning systems.

Based on previous literature, this study conceptualizes the construct of MLR and generates an initial 55-item MLR scale. A total of 319 responses are collected from a three-month internet-based survey. Based on the sample data, this study provides an empirical validation of the MLR construct and its underlying dimensionality, and develops a generic MLR scale with desirable psychometric properties, including reliability, content validity, criterion-related validity, convergent validity, discriminant validity, and nomological validity.

This study develops and validates a 19-item MLR scale with three dimensions (i.e. m-learning self-efficacy, optimism, and self-directed learning). A tentative norm of the MLR scale is presented, and the scale’s theoretical and practical applications are also discussed.

This study is a pioneering effort to develop and validate a MLR scale. The results of this study are helpful to researchers in building m-learning theories and to educators in assessing and promoting individuals’ acceptance of m-learning systems.

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.