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Digital technology (DT) is a massive and robust tool for organizational success. This paper aims to examine the roles of digitalization and digital innovation (DI) in developing the capability of a digital economy.

The authors used a cross-sectional study to collect the data from the managers of Egyptian SME manufacturing firms. This study utilized 322 samples.

From applying the structural equation model (SEM), this study’s findings show that digital capability (DC) and digital orientation (DO) exert a positive effect on the firm’s digital economy capability (DEC). In addition, DC has a positive impact on DI. In contrast, digital technology self-efficacy (DTSE) negatively predicts DEC. This study’s results also confirm DO’s negative effect on DI. The DTSE is a positive enabler of DI that has also positively affected the DEC. The mediating results demonstrate that DI reinforces the positive connection between DO and DEC. On the other hand, DI does not mediate the connection between DO and DEC and between DTSE and DEC.

This study’s outcomes support policymakers and manufacturing organizations in employing DT to improve DEC and, thereby, develop firm performance and success. The study’s findings also encourage organizations to invest in bringing about a digital culture within them. Finally, by developing DT and DI, firms can nurture a conducive culture of creativity and forward-thinking.

This study directly overcomes the need for an integrated framework of all DI, DTSE, DO, DC and DEC. Furthermore, DI’s mediating contribution between DC and DEC, between DO and DEC and between DTSE and DEC adds fresh insights to the existing literature.

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.

This manuscript examines how university coaches can use the Classroom Check-Up (CCU; Reinke et al., 2008) to support continuous school improvement efforts around teacher practice within a PDS model and how collaboration between university faculty can increase their coaching self-efficacy.

The paper is conceptual in that it presents an innovative idea to stimulate discussion, generate new ideas, and advance thinking about supporting educator coaching efficacy in school-university partnerships.

The paper provides insights and ideas for using a collaborative faculty coaching model based on the CCU (Reinke et al., 2008). Each coach provides insight about adapting the model to fit teacher, school, and district needs. Moreover, coaches report on how collaborating impacted their coaching self-efficacy.

This paper fulfills an identified need to support continuous school improvement efforts amid a teaching shortage using a collaborative faculty coaching model. Moreover, the authors explore “coaching self-efficacy” as a rare but valuable construct that is impacted by peer feedback.

This study examines how perceived institutional support, parental role models, and entrepreneurial self-efficacy, representing both macro-level and personal-level factors, collectively influence students' intentions to pursue entrepreneurship in Mexico and Uruguay.

This research utilized quantitative methodology, specifically survey techniques, to collect data from students attending private universities. The study achieved a valid sample size of 419 respondents. Various reliability and validity tests were conducted before structural equation modeling was employed to test the hypothesized relationships between variables.

The analysis revealed that perceived institutional support does not directly impact students' entrepreneurial intentions (EI). Instead, its effect is mediated through entrepreneurial self-efficacy and the presence of parental role models, both of which are strong predictors of EI. Additionally, the study identified a direct correlation between students' nationality, their academic programs, and their EI. Age and gender, however, did not significantly influence EI.

This study provides theoretical insights into understanding EI by combining macro-level and personal factors. This integrative method contributes to a more comprehensive approach of predicting EI within the context of Latin America.

The study suggests boosting investment to improve the quality of institutions, fostering an environment that supports entrepreneurship, and offering students opportunities to learn from successful role models.

This study was conducted in the context of two economies in Latin America. The novelty lies in combining perceived institutional factors and individual motivators to understand EI in Latin America. It uniquely emphasizes the significance of familial influences, particularly parental role models, in its analysis.

This study examines direct effect of leader-member exchange (LMEX) and learning orientation (LEOR) on workplace innovation (WPIN) and indirect effect between underline relationships in presence of mediators such as creative self-efficacy (CRSE), thrive at work (THAW), task interdependence (TAIN) work significance (WOSI) and creative performance (CRPE). Moreover, this study investigates the serial mediating effect of CRSE, WOSI, THAW, TAIN and CRPE between LMEX, LEOR and WPIN in entrepreneurial small and medium-sized enterprises (SMEs).

This study collected a total of 286 usable responses from entrepreneurial SMEs in three major business cities in Pakistan. In this cross-sectional study, data were gathered through self-administered surveys using purposive sampling approach and tested hypotheses using structural equation modeling (SEM).

The findings suggested insignificant direct effect of LMEX and LEOR on WPIN in the presence of mediators. Interestingly, CRSE, THAW, TAIN and CRPE were identified as significant mediators between LMEX, LEOR and WPIN. However, WOSI was found to be an insignificant mediator in the observed context. Moreover, the results revealed significant serial mediating effect of CRSE and CRPE with work context elements such as THAW and TAIN between LMEX, LEOR and WPIN, while serial mediating effect of WOSI in underline relationships found insignificant.

The study emphasizes that chief executive officers (CEOs) of entrepreneurial SMEs should prioritize individual, team and organizational factors to improve WPIN for competitiveness. Entrepreneurial management should focus on building strong relationships with employees to foster creativity and create a learning-oriented work environment that improves motivation and collaboration, thereby boosting employees' CRSE and CRPE, leading to enhanced WPIN.

This research offered a novel research framework and identified critical mediators and serial mediators between LMEX, LEOR and WPIN for entrepreneurial SMEs in developing countries, a domain grossly underrepresented in the literature.

Large class sizes are becoming the norm in higher education against concerns of dropping learning qualities. To maintain the standard of learning and add value, one of the common strategies is for the course convenor to proactively monitor student engagement with learning activities against their assessment outcomes and intervene timely. Learning analytics has been increasingly adopted to provide these insights into student engagement and their performance. This case study explores how learning analytics can be used to meet the convenor’s requirements and help reduce administrative workload in a large health science class at the University of New South Wales.

This case-based study adopts an “action learning research approach” in assessing ways of using learning analytics for reducing workload in the educator’s own context and critically reflecting on experiences for improvements. This approach emphasises reflexive methodology, where the educator constantly assesses the context, implements an intervention and reflects on the process for in-time adjustments, improvements and future development.

The results highlighted ease for the teacher towards the early “flagging” of students who may not be active within the learning management system or who have performed poorly on assessment tasks. Coupled with the ability to send emails to the “flagged” students, this has led to a more personal approach while reducing the number of steps normally required. An unanticipated outcome was the potential for additional time saving through improving the scaffolding mechanisms if the learning analytics were customisable for individual courses.

The results provide further benefits for learning analytics to assist the educator in a growing blended learning environment. They also reveal the potential for learning analytics to be an effective adjunct towards promoting personal learning design.

The purpose of this study is to present a systematic and comprehensive review of personalized, adaptive and semantic e-learning systems.

Preferred reporting items of systematic reviews and meta-analyses guidelines have been used for a thorough insight into associated aspects of e-learning that complement the e-learning pedagogies and processes. The aspects of e-learning systems have been reviewed comprehensively such as personalization and adaptivity, e-learning and semantics, learner profiling and learner categorization, which are handy in intelligent content recommendations for learners.

The adoption of semantic Web based technologies would complement the learner’s performance in terms of learning outcomes.

The evaluation of the proposed framework depends upon the yearly batch of learners and recording is a cumbersome/tedious process.

E-Learning systems may have diverse and positive impact on society including democratized learning and inclusivity regardless of socio-economic or geographic status.

A preliminary framework of an ontology-based e-learning system has been proposed at a modular level of granularity for implementation, along with evaluation metrics followed by a future roadmap.

Most of the current literature investigates workplace-based formal and informal learning separately; thus, the relationship between these two types of learning remains unclear. This study aims to fill this research gap, drawing on self-determination theory to bridge teachers’ formal and informal learning and uncover the relationship between the two.

The participants of the study are 1,886 primary and secondary in-service teachers in China. Structural equation modeling and bootstrapping are used to test the proposed model.

The study reveals complicated influencing mechanisms of formal learning on different types of informal learning among in-service teachers. Teachers’ basic psychological needs, satisfaction and challenge-seeking behavior are found to play crucial mediating roles in this process.

First, this study suggests that different configurations of intervention strategies should be formulated depending on the foci for improving teachers’ learning. Second, this study indicates that only highlighting the importance of reflection, which is the approach currently used, is not sufficient to improve teachers’ daily reflective practice. Third, there is an urgent need to design training programs to improve teachers’ abilities to purposefully expand their job boundaries, which could not only benefit teachers’ performance but also contribute to school improvement. For policymakers and school principals, we suggest that more attention be given to the satisfaction of teachers’ basic needs.

This study contributes to the literature on workplace learning by connecting formal and informal learning and elucidating how teachers’ reported formal learning influences their informal learning activities via varied paths. The findings have implications for continuous professional development policy and training programs in the workplace.

This bibliometric study aims to analyze publication trends, active countries, collaborations, influential citations and thematic evolution in learning analytics (LA) research focused on higher education (HE) during and after the COVID-19 lockdown period.

From the Scopus database, this bibliometric analysis extracts and evaluates 609 scholarly articles on LA in HE starting in 2019. The multidimensional process identifies the scope impacts, advancing the understanding of LA in HE. An analysis of co-citation data uncovers the key influences that have shaped the literature. This study uses the stimulus-organism-response (SOR) theory to suggest future research directions and organizational adaptations to new LA technologies and learner responses to LA-enabled personalized interventions.

Learning analytics are becoming important in the HE environment during and after the COVID-19 lockout. Institutions have used LA to collect socio-technical data from digital platforms, giving them important insights into learning processes and systems. The data gathered through LA has assisted in identifying areas for development, opening the path for improved student success and academic performance evaluation and helping students transition to the workforce.

The study’s concentration on the post-COVID-19 timeframe may lead to paying attention to potential pandemic developments. Nonetheless, the findings provide a thorough picture of LA’s contributions to HE and valuable ideas for future study initiatives. Future research with the SOR framework suggests areas for additional study to maximize LA’s potential in diverse HE situations.

This study adds to the growing corpus of knowledge on learning analytics in HE, especially in light of the COVID-19 lockdown and its aftermath. By using bibliometric analysis, the study provides a complete and evidence-based understanding of how LA has been used to address challenges related to HE. This study uses bibliometric analysis and SOR theory to appraise and map HE learning analytics research. The selected study themes can help scholars, educators and institutions shape their future efforts to improve teaching, learning and support mechanisms through learning analytics.

In this study, students’ perceptions of the effective practices of their research mentors were examined. The research mentors implemented the practices informed by the Center for the Improvement of Mentored Experiences in Research (CIMER) mentorship competencies to mentor underrepresented students in engineering education research in a virtual environment.

This research experience for undergraduates (REU) program, situated in the United States of America, consisted of undergraduate students (i.e. mentees), graduate students and faculty mentors who all had at least one underrepresented identity in engineering (i.e. Black, Latiné/x, and/or women). Using qualitative methods, we used data from reflection surveys and follow-up interviews with REU mentees to understand the outcomes of the mentorship strategies employed by the mentors in the program. The data were analyzed thematically using CIMER model constructs and social capital theory as guiding frameworks.

The results indicated the identified strategies students perceived as the most impactful for mentorship throughout the program. Students in the REU gained knowledge on how to activate social capital in mentorship relationships and how to better mentor others.

The findings provide insight on how to operationalize the CIMER mentorship competencies to skillfully mentor underrepresented students in engineering. Given the size of the REU and the nature of qualitative research, the sample size was limited.

The results help inform mentorship practices for underrepresented individuals in engineering education and the workforce. Further, they add to the practical knowledge of implementing CIMER best practices virtually, at a time when the world has transitioned to more hybrid and virtual working and learning environments.

This study identifies impactful strategies for operationalizing mentorship strategies informed by theory- and evidence-based CIMER mentorship competencies. In addition, this study extends knowledge about how to implement mentoring best practices and engage mentorship in a virtual environment.