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Teaching and learning are being transformed by digital technology, where the present generation of students, termed millennials, are more adept with the increasingly digitalised world we live in. Following this, lecturers and institutions are adapting and adopting a blended learning model across disciplines, which now commands an entire domain of research and application. However, questions remain about how ready students are for a blended learning model of instruction. The purpose of this study is to investigate students’ readiness for blended learning in a leading Malaysian private higher education institution.

This study used a non-experimental quantitative research design. Data were gathered from a sample of 274 pre-university and undergraduate students using the blended learning readiness engagement questionnaire. Data was analysed using WINSTEPS Rasch model measurement software to determine the validity and reliability of the instrument. Descriptive statistics (mean and standard deviation) scores, (logit) value of the item and (logit) value of a person was used to examine students’ readiness for a blended learning model of instruction and specifically assess their readiness based on gender, age, ethnicity and field of study.

Findings indicate that students were ready for blended learning. Further analysis indicated there were differences in students’ readiness for blended learning based on gender, age, ethnicity and field of study.

This study provides insight into students’ readiness towards blended learning in a leading Malaysian private higher education institution, discusses implications for blended learning practices and offers recommendations for future research.

Although change is a necessary part of organisational life, achieving a successful change is complex. Change readiness is a critical element in successful change implementation, yet studies assessing change readiness as an underlying mechanism in the link between organisational-level factors and successful change implementation are scarce, particularly in the African context. Accordingly, the present study examined the extent to which change readiness mediates the link between learning organisation and successful change implementation in the Ghanaian context.

The study utilized a standardized questionnaire to collect data from 364 participants, working in public and private universities in Ghana. The participants were selected via the convenience sampling strategy to complete the survey on the main variables at a single point in time. The study was purely quantitative, as path analysis – a form of structural equation modelling was employed to test the hypothesized relationships in the study.

The results show that both learning organisation and change readiness facilitated successful change implementation. Finally, it was observed that change readiness served as an important mediating mechanism in the link between learning organisation and successful change implementation.

Change readiness was found to explain the link between learning organisation and successful change implementation. Thus, it is important that managers and leaders of public and private sector educational institutions in Ghana invest resources into preparing and getting employees to accept, be committed to and ready for change.

The present study contributes to the scarce knowledge of the mediating role of change readiness in the link between learning organisation and successful change implementation in the African context.

The study has identified the factors among students that can enable or inhibit students from using online learning platforms. Students enrolled at different levels, diversified streams and separate courses were surveyed for the investigation. The study also highlights the significant hitches faced in using or adopting e-learning.

Responses were collected from Indian students on a seven-point Likert-type scale using a structured questionnaire around the updated Technology Readiness Index's four dimensions. Adapted dimensions were evolved to identify the people's propensity to accept and reject the new technology.

The result of the survey highlights the students' positive attitude towards the e-learning approach. The diffusion of e-learning platforms occupies them with a feeling of optimism and innovativeness. However, discomfort in using the newly penetrated e-learning platforms was also found. Furthermore, no significant variances concerning the different demographics were detected.

The cross-sectional research approach was used for the investigation. However, it is evident that with the use and experience of technology, an increase in its acceptance follows. Thus, a longitudinal research approach should explore the differences between students' earlier and later involvement after experiencing the platform. A cross-country investigation is also needed to measure the technological biases among students.

With advancements in technology, the chances of diffusion of e-learning in traditional classrooms have risen. However, to encourage the student's engagement towards e-learning, the platform needs to be student and teacher-friendly. This study serves the purpose of exploring the determinants that will guide educational institutes and developers of online platforms in achieving excellence in enhancement and engagement among students.

The investigation adds to recognize the acceptance of e-learning among students by exploring its determinants using the Technology Readiness Index 2.0. The study has also explored the differences in readiness to use e-learning on differences in enrolment level, institute type and courses.

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.

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.

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.

In recent times, progression of technology and growing demands of customers have substantially influenced the services sector to introduce fast real-time mechanisms for providing up-to-mark services. To meet these requirements, organizations are going to change their end-user operating systems but success rate of change is very low. The purpose of this paper is to address one of the practitioners’ complaint “no one tells us how to do it” and uncovers the indirect effects of knowledge management (KM) strategies: personalization and codification, toward organizational change via organizational learning and change readiness. The current study also highlights how organizational learning and change readiness are helpful to reduce the detrimental effects of organizational change cynicism toward success of a change process.

Temporal research design is used to get the appropriate responses from the targeted population in two stages such as pre-change (Time-1) and post-change (Time-2). In cumulative, 206 responses have been obtained from the banking sector of Pakistan.

The results of the current study are very promising as it has been stated that KM strategies have an indirect effect on successful organizational change through organizational learning and change readiness. Moreover, change cynicism has a weakening effect on a change process and can be managed through effective learning orientation of employees and developing readiness for change in organizations.

Change agents have to use an optimal mix of personalization and codification strategies to develop learning environment and readiness for change in organizations that are beneficial for implementing a change successfully. Moreover, change readiness and organizational learning in the context of change are equally beneficial to reduce organizational change cynicism as well.

This study is introducing a unique model to initiate a change with the help of KM strategies, organizational learning and readiness for change.

Due to the growing complexity involved in leveraging the endless possibilities of ICT on all levels, the technical competence of faculties of higher education institutions (HEI) and effective methods for fostering e-readiness has become questionable.

This research has developed and validated an empirically supported e-readiness scale, which can be used by HEIs to assess faculty members’ preparedness toward online teaching. The measurement model and the structural model were developed as the results of exploratory factor analysis and confirmatory factor analysis (n = 245). The previously identified components and their indicators were validated using the structural models and the final scale was developed with five dimensions (“online technological readiness, pedagogical readiness, institutional readiness, learning and delivery readiness and content readiness”).

The faculties’ e-readiness assessment tool, as a useful tool, could aid institutions in identifying problems that affect the implementation of e-learning or digitalization in the institutions and developing strategies in response.

Like any research this research also has some limitations and can be considered as future research probability like the responses for this research were collected from HEI in India; however, a cross-cultural study can be conducted to understand the parameters across the globe. Although the psychometric qualities of the e-readiness scale are acceptable, additional research in various higher educational environments, both nationally and internationally, is required to further establish the scale’s relevance, validation and generalizability.

Although many scales have been developed to assess the readiness level in the education sector, a scale, that holistically measures, the readiness level of faculties from an overall perspective was required. This scale can be used to recognize the e-readiness level of teachers in HEIs. This scale can also help the institutions assess the readiness level of their faculty members and address any improvements required in their teaching and learning pedagogy, further acknowledging training needs.

The main purpose of this study is aimed to estimate the mediating role of student engagement in the structural relationships between students' field of study choice, learning readiness and academic competence of undergraduate students in higher education.

In the study process, a correlational design was employed. Data were collected from 419 participants who were selected through a simple random sampling technique. Structural equation modeling (SEM) was used to analyze the data.

The study findings showed neither field of study choice nor learning readiness has a significant direct effect on student's academic competence. However, when student engagement, entered the relationships between “field of study choice and academic competence” as well as “learning readiness and academic competence”, the indirect effects became significant. Both conditions, therefore, suggesting student engagement had a full mediation role in the structural relationship models.

Based on the results, it can be concluded that student engagement is shown as one of the key variables used to comprehend how students develop competence in the teaching-learning process. Hence, teachers and academic administrators could use engagement as a strong instrument to optimize students' learning and academic competence to enhance their academic success.

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.