Blockchain-powered grids: Paving the way for a sustainable and efficient future.

Blockchain technology can potentially be a bedrock for the energy record-keeping system. This study examined several critical factors that affect users' intention to accept Blockchain technology for the Smart grid. The proposed model is based on the Technology Organization Environment framework, which is examined using Structural Equation Modelling. Based on the study findings, it has been indicated that the relative advantage shows a significant effect and matters the most during the Blockchain technology adoption in the Smart grid. The innovativeness, cost saving, and regulatory support also significantly influence the intention to use the Blockchain technology. The innovativeness and traceability show a significant influence on upper management support. The traceability shows a substantial impact on cost savings. However, innovativeness shows an insignificant effect on cost savings. The traceability and competitive pressure do not affect the intention to use the Blockchain technology. This study has extended the Technology Organization Environment theory, which predicts the organizational behavior to adopt the Blockchain technology for the Smart grid. We argue that the finding provides insights to guide the industry to deliver the best practice on the Blockchain technology. The study findings suggest that experts would recognize innovative technology free of effort to raise the determined aids for improving the traditional energy system. Though there are some limits, theoretical and practical implications are justified based on the findings.

Unlocking future learning: Exploring higher education students' intention to adopt meta-education.

Despite the potential of meta-education to transform higher education, there remains a scarcity of research investigating students' adoption intentions. This study aimed to identify factors influencing students' intentions to adopt meta-education using an extended Decomposed Theory of Planned Behavior model (DTPB). Data was collected via an online survey of 596 higher education students from Jordan who were purposefully selected. Structural equation modeling using partial least squares analysis revealed attitude, social influence, and perceived behavioral control as key antecedents of adoption intention. Furthermore, newly added variables including perceived enjoyment, herd behavior, student autonomy, and student innovativeness showed efficiency in explaining variance in attitude, social influence, and perceived behavioral control. Overall, the extended model provided meaningful insights on factors driving students' willingness to adopt meta-education. The study contributes to theory by extending the decomposed TPB model in the context of emerging educational technologies. It also provides practical implications for policymakers and educators aiming to encourage meta-education adoption.

Green banking practices and environmental performance: navigating sustainability in banks.

The growing concerns about global climate change have thrust green banking and green finance into the forefront of discussions. The research suggests that green banking plays a pivotal role in advancing environmental sustainability. This study focuses on examining the profound impact of green banking practices on the environmental performance of banks, with a specific focus on both private and public sector banks operating in India through a survey involving 500 bank employees the study employed partial least squares structural equation modelling (PLS-SEM). The findings highlight various aspects of green banking, encompassing employee-related practices, operational procedures, customer engagement, and policy adherence, and significantly contribute to the promotion of green finance, resulting in substantial positive effects. Moreover, the study underscores the substantial and positive influence of banks' green financing on their environmental performance. Interestingly, the operational features of green banking practices emerged as having a notable impact on banks' environmental performance, whereas aspects related to employees, policies, and customers did not directly and significantly influence environmental performance. The results of the study carry significant policy implications, especially for India's banking sector, in the pursuit of environmental sustainability.

"Extending the Technology Acceptance Model (TAM) to Predict University Students' Intentions to Use Metaverse-Based Learning Platforms".

Metaverse, which combines a number of information technologies, is the Internet of the future. A media for immersive learning, metaverse could set future educational trends and lead to significant reform in education. Although the metaverse has the potential to improve the effectiveness of online learning experiences, metaverse-based educational implementations are still in their infancy. Additionally, what factors impact higher education students' adoption of the educational metaverse remains unclear. Consequently, the aim of this study is to explore the main factors that affect higher education students' behavioral intentions to adopt metaverse technology for education. This study has proposed an extended Technology Acceptance Model (TAM) to achieve this aim. The novelty of this study resides in its conceptual model, which incorporates both technological, personal, and inhibiting/enabling factors. The empirical data were collected via online questionnaires from 574 students in both private and public universities in Jordan. Based on the PLS-SEM analysis, the study identifies perceived usefulness, personal innovativeness in IT, and perceived enjoyment as key enablers of students' behavioral intentions to adopt the metaverse. Additionally, perceived cyber risk is found as the main inhibitor of students' metaverse adoption intentions. Surprisingly, the effect of perceived ease of use on metaverse adoption intentions is found to be insignificant. Furthermore, it is found that self-efficacy, personal innovativeness, and perceived cyber risk are the main determinants of perceived usefulness and perceived ease of use. While the findings of this study contribute to the extension of the TAM model, the practical value of these findings is significant since they will help educational authorities understand each factor's role and enable them to plan their future strategies.

Integrated-Based Curriculum of Pharmaceutical Dosage Forms (ICPDF): What Factors Affect the Learning Outcome Attainment?

This study aimed to evaluate pharmacy students' perceptions regarding the correlations among the quality of faculty members, institutional resources, an integrated-based curriculum of pharmaceutical dosage forms (ICPDF), and learning outcome attainment. The current study participants have attended courses (semesters 2 to 6) through the ICPDF in the Department of Pharmaceutics and Pharmaceutical Technology, Faculty of Pharmacy, Universitas Padjadjaran, Indonesia. We distributed survey instruments to 212 pharmacy undergraduate students after one year of the curriculum implementation. We asked the students to fill in the instrument in which the indicators consist of a 7-point Likert scale. The data were analyzed using SmartPLS, which included measurement and structural models through PLS-SEM. The findings informed that the quality of faculty members and institutional resources significantly predict ICPDF. Similarly, ICPDF plays a significant role in affecting learning outcome attainment. The quality of faculty members and institutional resources were not related to learning outcome attainment. Significances of differences were informed among students' years in university regarding learning outcome attainment and ICPDF. However, insignificant differences emerged based on gender. The findings demonstrate the benefits of using the PLS-SEM approach to create a valid and reliable model, assessing the correlations between independent variables with the ICPDF and learning outcome attainment as two dependent variables.

Teachers' Perceptions of Technology Integration in Teaching-Learning Practices: A Systematic Review.

The rapid expansion of the Information and Communication Technologies (ICTs) has transformed learners into digital learners, requiring teachers to integrate technology into their pedagogical approaches, where teachers' attitudes, technological knowledge, and skills play a significant role in its effective integration. From this perspective, the current study presents teachers' perceptions regarding technology integration in their teaching-learning practices at all educational levels in light of the previous studies performed in the last 5 years in Pakistan. The findings reveal that teachers exhibit positive perceptions regarding technology integration in teaching-learning practices. They believe that technology-incorporated teaching assists them in enhancing their instructional practices effectively, making the learning process exciting and interactive, and keeping learners motivated. Regarding barriers, the slow speed of the internet, load shedding, lack of infrastructure, online teaching experience, and training were reported as the main obstacles that hinder teachers from effective integration of ICT into their teaching practices. Accordingly, the study findings suggest that concerned authorities should set clear and effective policies to make efficient use of ICT by allocating a sufficient budget and ensuring all necessary facilitation (e.g., ICT infrastructure, tools, software, internet, and labs) in all educational institutions. Furthermore, particular attention should be devoted to supplying adequate opportunities for the career development of teachers in developing technological competencies, which help them successfully use ICT in their instructional practices.

Exploring factors affecting the adoption of MOOC in Generation Z using extended UTAUT2 model.

The advent of Internet heralded the rise of scalable educational technology dubbed as massive open online course (MOOC). Easy to use, access, economical as well as flexible, provide students lot of freedom and the advantage of self-paced learning. Despite all these merits, MOOC adoption is low in the higher educational institutions (HEIs) of India. The aim of this study is to explore the factors affecting the behavioural intention to adopt MOOCs among Generation Z (Gen Z) enrolled in the Indian HEIs. The study uses the extended UTAUT2 model with additional constructs of language competency and teacher influence to explore MOOC adoption among the Gen Z. Using online survey, data of 483 students was collected from HEIs of India using stratified random sampling and analysed using partial least square-structure equation modelling (PLS-SEM) technique. The results establish the general applicability of UTAUT2 model in context of MOOC in Indian settings with explanatory power of 69.9% and highlights the positive influence of price value, hedonic motivation, facilitating conditions, performance expectancy and effort expectancy on MOOC adoption. However, the constructs of social influence, habit, language competency, and teacher influence unexpectedly do not have an impact on Behavioural Intention of Gen Z towards MOOC adoption. Based on the research findings, study implications and future directions of the research have been suggested.

Technology Integration in Higher Education During COVID-19: An Assessment of Online Teaching Competencies Through Technological Pedagogical Content Knowledge Model.

The COVID-19 pandemic significantly shifted education from traditional to an online version, which was an emergent state for teachers and students. The substantive situation thus raises the importance of technology integration in education, and teachers are required to update their competencies, respectively. In this regard, the study assessed online teaching competencies of faculty members following, technological pedagogical content knowledge (TPACK) model. Closed-ended surveys were employed for quantitative analysis of randomly selected 256 faculty members from public universities in Karachi, Pakistan. Results indicated that teachers possessed adequate levels of knowledge across all the domains of TPACK. The highest competency was obtained by content knowledge (CK), while technological knowledge (TK) was reported at the lowest level. Furthermore, a significant difference was noted in terms of gender and teaching experience. Correspondingly, the study proposes that the TPACK model should be employed in the professional development programs to develop teachers' TPACK for integrating information communication and technology in the pedagogical practices. The findings of the study present a constructive overview of teachers' digital competencies and technology use in teaching and learning in the time of the COVID-19 and also play a significant role in the integration of technology in the post-pandemic time in higher education. The study also suggests relevant educational authorities and policymakers for assessing and enhancing the technological competencies of teachers for quality online education.