Search results

This study examines the critical elements that contribute to the effective adoption of educational digital resources (EDRs) in schools, with a focus on school principals and their leadership, from a strategic pedagogical standpoint.

Using survey data from 200 school principals, measurement and structure models are tested through structural equation modeling to quantify the impact between constructs.

The findings indicate that the most important factor influencing how effectively schools are transforming digitally is how beneficial school principals believe EDRs to be. Other important elements include the environment of the school, the technical assistance and service provided for the EDRs, and the professional and personal background of the principal.

Principals should be a fundamental component of educational plans for digital transformation, considering things like their age, leadership and teaching experience. Other components include contextual elements like school size, complexity and digital culture. A school principal's ability to promote an open dialogue – that enables educational communities to view the integration of EDRs into pedagogical models as an opportunity to improve outcomes – can assist a digital culture transition, rather than via the principal's authority or bureaucratic influence.

This research is among the pioneer to study the role of school principals in the UAE towards understanding the direction for digital transformation.

This study aims to examine the participants’ [junior high school students and Master of business administration (MBA) consultants] perceptions and utilizations of the multidimensional place-based resources within the context of Education for Sustainable Development (ESD), specifically focusing on its alignment with the sustainable development goals (SDGs) for quality education. While place-based resources have demonstrated the potential for fostering innovative thinking and collaborative efforts, a gap exists in understanding how these resources can be effectively integrated to bolster learning and sustainable outcomes.

The authors adopted a single-case research methodology and conducted an in-depth exploration of the integration of place-based resources within the context of ESD using the 2021 Forest Community Outreach (FCO) Project in Ena City, Japan. Questionnaires, daily journals and consultation reports were used for data collection. This study used the coding and qualitative content analysis process to understand the significance of the five dimensions of place-based resources in fostering effective ESD practices.

The findings show the gap between interest in ESD and utilization of place-based resources as reflected in the perceptions and interests of junior high school participants. MBA consultants acknowledged the relevance of leveraging the five dimensions of place-based resources in the context of ESD. This research enriches the understanding of recognizing and harnessing different resources within the settings, emphasizing the significance of a multidimensional place-based resources approach to effectively incorporate these resources into ESD, thereby fostering learning and practical sustainability outcomes.

This study conducts a novel analysis of diverse dimensions within the realm of place-based resources and their profound influence on the learning experiences and creativity of participants engaged in ESD. The study lays the groundwork for the validation of place-based resource dimensions through collaborative efforts involving stakeholders within the region.

In 2022, the Baltimore professional development school (PDS) partner schools, John Ruhruh Elementary/Middle School (JREMS) and Notre Dame of Maryland University (NDMU) received funds through a Maryland Educational Emergency Revitalization (MEER) grant to determine (a) to what extent additional resources and professional development would increase JREMS teachers’ efficacy in technology integration and (b) to what extent NDMU professional development in the form of workshops and self-paced computer science modules would result in greater use of technology in the JREMS K-8 classrooms. Results indicated a statistically significant improvement in both teacher comfort with technology and integrated use of technology in instruction.

Survey data were collected on teacher-stated comfort with technology before and after grant implementation. Teachers’ use of technology was also measured by unannounced classroom visits by administration before and after the grant implementation and through artifacts teachers submitted during NDMU professional development modules.

Results showing significant increases in self-efficacy with technology along with teacher integration of technology exemplify the benefits of a PDS partnership.

This initiative was original in its approach to teacher development by replacing required teacher professional development with an invitation to participate and an incentive for participation (a personal MacBook) that met the stated needs of teachers. Teacher motivation was strong because teammates in a strong PDS partnership provided the necessary supports to induce changes in teacher self-efficacy.

This study aims to delve into the perspectives of educators on integrating ChatGPT, an AI language model into management education. In the current research, educators were asked to talk as widely as possible about the perceived benefits, limitations of ChatGPT in management education and strategies to improve ChatGPT for management education. Also, shedding light on what motivates or inhibits them to use ChatGPT in management education in the Indian context.

Interpretative phenomenological analysis commonly uses purposive sampling. In this research, the purpose is to delve into educators’ perspectives on ChatGPT in management education. The data was collected from the universities offering management education in Uttarakhand, India. The final sample size for the study was constrained to 57 educators, reflecting the point of theoretical saturation in data collection.

The present study involved educators discussing the various advantages of using ChatGPT in the context of management education. When educators were interviewed, their responses were categorized into nine distinct sub-themes related to the benefits of ChatGPT in management education. Similarly, when educators were asked to provide their insights on the limitations of using ChatGPT in management education, their responses were grouped into six sub-themes that emerged during the interviews. Furthermore, in the process of interviewing educators about potential strategies to enhance ChatGPT for management education, their feedback was organized into seven sub-themes, reflecting the various approaches suggested by the educators.

In the qualitative study, perceptions and experiences of educators at a certain period are captured. It would be necessary to conduct longitudinal research to comprehend how perceptions and experiences might change over time. The study’s exclusive focus on management education may not adequately reflect the experiences and viewpoints of educators in another discipline. The findings may not be generalizable and applicable to other educational disciplines.

The research has helped in identifying the strengths and limitations of ChatGPT as perceived by educators for management education. Understanding educators’ perceptions and experiences with ChatGPT provided valuable insight into how the tool is being used in real-world educational settings. These insights can guide higher education institutions, policymakers and ChatGPT service providers in refining and improving the ChatGPT tool to better align with the specific needs of management educators.

Amid the rising interest in ChatGPT’s educational applications, a research gap exists in exploring educators’ perspectives on AI tools like ChatGPT. While some studies have addressed its role in fields like medical, engineering, legal education and natural sciences, the context of management education remains underexplored. This study focuses on educators’ experiences with ChatGPT in transforming management education, aiming to reveal its benefits, limitations and factors influencing adoption. As research in this area is limited, educators’ insights can guide higher education institutions, ChatGPT providers and policymakers in effectively implementing ChatGPT in Indian management education.

The use of cutting-edge technology in education has the potential to transform the learning experience and greatly contribute to the achievement of the Sustainable Development Goals (SDGs) in emerging economies. With the increased accessibility of technology and online resources, digital literacy has become an essential skill in today's world. Smart e-learning platforms have emerged as a new tool for offering education and training in emerging economies, while also boosting digital literacy.

This chapter will attempt to investigate the impact of new-age technologies on the educational system and how they can help emerging economies achieve the SDGs. This study looks at case studies from various emerging economies, analyzing how innovative technologies like digital learning, smart teaching and learning, mobile learning, online learning, artificial intelligence (AI), virtual reality, and gamification are used to improve education quality and promote SDGs. This chapter emphasizes the impact of technological integration on access to education, reducing inequality, and improving educational quality and relevance. This study also looks into how education may help promote environmental sustainability and economic growth. According to the findings, integrating new-age technologies into the education system can be a game changer in achieving SDGs in emerging nations.

Given that a large proportion of refugees and forced im/migrants today are school-age, schools are widely assumed to be sites where integration will happen. How this integration will occur and whether education policies facilitate social cohesion is unclear. Focusing on California and Berlin as examples of politically left-leaning states that receive immigrants in substantial numbers, this chapter seeks to examine their immigration, integration, and education policies. Using an original conceptual framework, this chapter analyzes how relevant federal and state policies have evolved since the 1980s in these two contexts. This chapter considers integration to be the process by which immigrants identify with the receiving country (RC) and their previous contexts, provided that the RC is supportive and accepting. The goal of integration is less inequality along ethnic or cultural lines. By analyzing policies in terms of immigrant students’ identity formation and conceptions of equality, this chapter argues that the evolution of such policies in Berlin and California has not always been linear. Moreover, while both states consider diversity to be positive, their policies do not extend to facilitating a new culture that productively operationalizes the diversity of immigrant and non-immigrant students.

Alexa’s integration in rural primary schools has improved the pedagogy and has created an engaging and objective learning environment. This study investigates the integration, with a specific focus on exploring its various aspects. The impact of Alexa’s on students' English vocabulary, comprehension and public speaking are examined. This study aims to provide insights the teachers and highlight the potential of artificial intelligence (AI) in rural education.

This content analysis study explores the use of Alexa in primary education in rural areas of India. The study focuses on the types of the questions asked by the students and examines the pedagogical implications of these interactions. By analyzing the use of Alexa in rural educational settings, this study aims to contribute to our understanding of how voice assistants are utilized as educational tools in underprivileged areas.

Alexa significantly improved students' English vocabulary, comprehension and public speaking confidence. Alexa increased school enrollment and retention. Virtual voice assistants like Alexa may improve pedagogy and help India’s rural education. This study shows AI improves rural education.

The study only covers rural India. Self-reported data and observations may bias the study. The small sample size may underrepresent rural educational institutions in India.

Alexa is used to study rural India’s primary education. Voice assistants in rural education are understudied. The study examines Alexa’s classroom use, student questions, and policy and teacher education implications. AI’s education transformation potential addresses UNESCO’s teacher shortage. This novel study examines how AI can improve rural education outcomes and access.

The integration of digital technologies into education has brought about a profound transformation, fundamentally reshaping the learning landscape. The purpose of this study is to underscore the importance of investigating the factors influencing students’ engagement (SE) in this evolving digital era, particularly within formal digital learning environments. To address this need, the study is grounded in self-determination theory (SDT) and presents a comprehensive model comprising interconnected elements: digital competence (DC), smartphone use (SPU), perceived autonomy (PA), digital formal learning (DFL) and SE.

The research conducted an investigation within Saudi Arabian universities, collecting a robust data set of 392 cases. This data set underwent rigorous analysis to validate the proposed model. To untangle the intricate relationships within the framework, the study used partial least squares structural equation modelling. Given the distinct dimensions of the two constructs under study, the researcher used a disjoint two-stage approach to establish reflective-formative higher-order constructs (HOC).

The findings revealed that digital literacy and digital skills (DS) constitute the foundational constituents of DC. Simultaneously, the study identified facilitation, distraction and connectedness as integral components of SPU. Importantly, the study established that DC, SPU, PA and DFL significantly influence SE. Furthermore, the research illuminated the mediating roles played by SPU, PA and DFL in the complex relationship between DC and SE.

This study advances the literature by delineating the dynamic interplay between DC, SPU and SE in digital learning. It extends SDT within educational contexts, emphasizing the role of internal motivations and DS. Methodologically, it innovates through reflective-formative HOCs, deepening the analysis of complex educational constructs. Managerially, it guides institutions in enhancing DC and integrating smartphones effectively into learning, advocating for tailored strategies to foster engaging and autonomous digital learning environments, thereby enriching both theoretical understanding and practical application in education.

The COVID-19 pandemic, in addition to posing challenges, has also created opportunities for greater digital integration than ever. However, the scale and efficacy of digital integration are contingent on the digital competence (DC) of teachers. In the same way, how well teachers learn and teach online may depend on how willing they are to try new ways of digitizing learning or being innovative. This study aimed to ascertain if teachers' digital nativeness, digital addiction and innovative work behavior had an impact on their DC.

The study used a quantitative research method, whereby data were collected from 276 schools, colleges and university teachers. The researchers employed structural equation modeling (SEM) using SmartPLS to analyze the data.

The results illuminate the literature regarding DC and the predictive capability of teachers' digital nativeness, digital addiction and innovative work behavior, which can contribute to paving the way for digitizing teaching and learning in the post-COVID-19 era.

The study has significant implications for meaningful learner engagement by explaining the importance of teachers' digital competencies and how they could be approached conceptually to better understand the factors associated with teachers' DC. The differences in DC between digital natives and digital emigrants remain one of the limitations that future research may address.

The results have policy level and practical implications for organizations to consider the value of young teachers in the integration of digital resources. It is also critical to encourage teachers' innovative behavior in the digitization of teaching by creating a supportive organizational environment.

The study remains valuable in the post-COVID-19 era, where educational institutes are revisiting the prospect of online learning as a parallel to in-person teaching. The results remain innovative and genuine and have not been explored in previous research, in particular in the post-COVID-19 era. The involvement of teachers from schools, colleges and universities makes the results more general, which all of them can equally benefit from.