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This case study explores how universal design for learning (UDL)-informed online instruction modules developed during COVID-19 can better support student information literacy outcomes. This study will also examine how hybrid learning lends itself to UDL and may resolve some of the issues within library instruction.

This case study explores how a team of librarians at Utah State University developed three UDL-informed modules to support library instruction and hybrid learning during the height of the COVID-19 pandemic. A survey was sent to composition instructors to understand how they utilized the three new UDL-informed modules and if the modules helped their students reach information literacy outcomes.

Findings from this case study describe how academic libraries should adopt the UDL framework to support best practices for online learning as well as inclusive pedagogies. The findings indicate that the UDL-informed modules developed for hybrid instruction help students meet information literacy outcomes and goals.

The authors present a case study examining the current climate of information literacy instruction and UDL while providing actionable instructional practices that can be of use to librarians implementing hybrid instruction.

This study aims to investigate the effectiveness of hybrid learning, blended learning and face-to-face learning in remediating misconceptions among primary school teacher education students.

This research uses a quasi-experimental design, using a quantitative approach. Data were collected from 99 students using a pretest and posttest four-tier test.

Hybrid learning proved to be the most effective, achieving a remarkable 90.32% success rate in remediating students’ misconceptions, surpassing blended learning and face-to-face learning methods.

The data come from a single Indonesian university and focuses only on a science concept; therefore, the scope of findings may be limited.

The research suggests that applying the conceptual change (CC) model in all learning types, particularly hybrid learning, effectively remediates misconceptions. Educators can use this insight to design impactful teaching strategies that combine online and traditional components, accommodating diverse learning styles and needs.

This research suggests that applying CC model in all learning types is actually able to remediate misconceptions, though hybrid learning is found to be the most effective one.

This study addresses a research gap by investigating the effectiveness of different learning modes in rectifying misconceptions. Although prior studies have explored learning modes, few have directly compared hybrid, blended and face-to-face learning in correcting misconceptions. The findings offer insights for effective teaching strategies to address STEM-related misconceptions, benefiting educators in optimizing their approaches. Furthermore, the study’s implications extend to the broader academic community, contributing to evidence-based teaching practices in science education and the development of effective strategies for addressing misconceptions in STEM courses.

This exploratory study aims to discover the different forms of challenges encountered by school stakeholders, including students, teachers, parents and management due to the coronavirus disease 2019 (COVID-19) pandemic.

Qualitative methodology was deployed for the study. A purposive sampling technique was used to select the respondents for a semi-structured interview. Data were examined using interpretative phenomenological analysis (IPA).

It was found that each stakeholder faced four different challenges: mental distress, physical immobility, financial crunches and technological concerns. Findings suggest that teachers are experiencing higher financial, technological and physical challenges as compared to other stakeholders followed by parents.

This paper discusses the major challenges faced by each stakeholder along with the opportunities. These findings will be useful for educationists, regulatory authorities, policymakers and management of educational institutions in developing countries to revisit their policy frameworks to develop new strategies and processes for the smooth implementation of remote learning during a period of uncertainty.

The main purpose of this paper is twofold: to present a proposal for a model of educational quality management system within a process approach context for technical universities, and a conceptual model of a performance measurement system (PMS) towards the assessment of the quality level of management, core and support processes.

The paper encompasses two main parts: a theoretical portion and a case study. Within the theoretical background, the authors discuss the issue of educational quality management supported on a process approach perspective as well as performance measurement system in high education (HE). The case study reports the development of the concept of performance measurement system for technical universities.

The proposed system of educational quality management supported on a process approach, together with a conceptual model of the performance measurement system, can be implemented in every technical university. The identification of processes in the education quality management system permitted the development of the PMS. The model covers 32 key performance indicators (KPIs) for management processes, 39 for core processes and 19 for supporting ones.

The proposed performance measurement system is limited in its focus on educational processes and support of these processes. The evaluation of scientific and research activity and aspects related to financial resources is not pursued.

Elaboration of a conceptual model of a performance measurement system towards the assessment of the quality level of management, core and support processes is dedicated to technical universities.

This study aims to analyse the systemic risk emitted by all publicly listed commercial banks in a key emerging economy, India.

The study makes use of the Tobias and Brunnermeier (2016) estimator to quantify the systemic risk (ΔCoVaR) that banks contribute to the system. The methodology addresses a classification problem based on the probability that a particular bank will emit high systemic risk or moderate systemic risk. The study applies machine learning models such as logistic regression, random forest (RF), neural networks and gradient boosting machine (GBM) and addresses the issue of imbalanced data sets to investigate bank’s balance sheet features and bank’s stock features which may potentially determine the factors of systemic risk emission.

The study reports that across various performance matrices, the authors find that two specifications are preferred: RF and GBM. The study identifies lag of the estimator of systemic risk, stock beta, stock volatility and return on equity as important features to explain emission of systemic risk.

The findings will help banks and regulators with the key features that can be used to formulate the policy decisions.

This study contributes to the existing literature by suggesting classification algorithms that can be used to model the probability of systemic risk emission in a classification problem setting. Further, the study identifies the features responsible for the likelihood of systemic risk.

To explain how technology will replace a great deal of human labor in knowledge markets using a theory of reasoned action applied to demand and theories of procedural rationality, cost structure and system dynamics applied to supply.

Two illustrative scenarios are presented. The first is a third-party Best Treatments site, and its effect on the expert advice pharmaceutical representatives provide doctors. The second scenario is an online higher education business course module with embedded AI.

Both scenarios demonstrate the advantages of online expertise and teaching platforms over the in-person alternative in variable and marginal cost, ease and convenience of use, quality conformance, scalability, knowledge reach and depth and most importantly, speed of evolutionary adaptability. Despite such overwhelming advantages, a number of reasons why the substitution might be slowed are presented, and some strategies firms might adopt are discussed. Opportunities for service scholars to confirm, challenge and extend the conclusions are presented throughout the paper.

Increasing cost structure and adaptability advantages of online technology and AI over in-person delivery of expertise and training services are demonstrated. It is also demonstrated that the innovation-imitation cycle is accelerating because of exogenous innovation in knowledge access and online influence networks and an endogenous effect where imitators accelerate their innovation that drives innovators to accelerate their innovation, which drives imitators to further accelerate their imitation.

This study aims to explore how educational leaders in South Korea adopted equity mindsets and how they organized changes to support students' deeper learning during COVID-19.

The authors developed a comprehensive framework of Equity Leadership for Deeper Learning, by revising the existing model of Darling-Hammond and Darling-Hammond (2022) and synthesizing equity leadership literature. Drawing upon this framework, this study analyzed data collected from individual interviews and a focus group with school and district administrators in the K-12 Korean education system.

The participants prioritized an equity stance of their leadership by critically understanding socio-political conditions, challenging unjust policies, and envisioning the big picture of equity-centered education. This led them to operationalize equity leadership in practice and create a more inclusive and supportive environment for student-centered deeper learning. District leaders established well-resourced systems by creating/developing instructional resources and making policies more useful. School leaders promoted quality teaching by strengthening access, developing student-centered curricula, and establishing individualized programs for more equitable deeper learning.

This study builds on scholarship of deeper learning and equity leadership by adding evidence from Korean educational leaders during COVID-19. First, the findings highlight the significance of leaders' equity mindsets in creating a safe and inclusive environment for deeper learning. This study further suggests that sharing an equity stance as a collective norm at the system level, spanning across districts and schools is important, which is instrumental to scale up innovation and reform initiatives. Second, this research also extends comparative, culturally informed perspectives to understand educational leadership. Most contemporary leadership theories originated from and are informed by Western and English-speaking contexts despite being widely applied to other contexts across the culture. This study's analysis underscores the importance of contextualizing leadership practices within the socio-historical contexts that influence how education systems are established and operate.

Leaders' adopting equity mindsets, utilizing bureaucratic resources in creative ways and implementing a school-wide quality curriculum are crucial to supporting students' deeper learning. District leaders can leverage existing vertical and horizontal networks to effectively communicate with teachers and local communities to establish well-recourced systems. As deeper learning is timeless and requires high levels of student engagement, school leaders' efforts to establish school-wide curricula is critical to facilitate deeper learning for students.

The study provides a nuanced understanding of how equity focused leaders responded to difficulties caused by the pandemic and strategized to support students' deeper learning. Existing studies tend to prioritize teacher effects on student learning, positing leadership effects as secondary or indirect. Alternatively, the authors argue that, without leadership supporting an inclusive environment, resourceful systems and student-centered school culture, deeper learning cannot be fully achieved in equitable ways.

Based on positive organizational scholarship, this study aims to examine the role of faculty engagement in mediating the relationship between quality of work-life (QWL) and organizational commitment. The paper also analyses how spiritual leadership moderates the relationship between QWL and faculty engagement.

The data was collected through structured questionnaires from undergraduate and postgraduate teachers working in various business schools across major cities in India. The sample was selected through the snowball sampling technique. The sample size was 486, and analysis was done through the structural equation modelling approach using the bootstrapping method.

Findings indicate that faculty engagement mediates the relationship between QWL and organizational commitment among teachers. Furthermore, results show that educational institutions that practice spiritual leadership support higher positive psychological and emotional states of engagement.

The paper provides an integrated model of engagement, commitment and QWL through a study of mediation and moderation effects and adds value to the psychology and workplace spirituality literature. There is the future scope for further generalizations of the model in different geographical contexts to analyse the influence of other leadership styles.

Furthermore, it would help educational institutions to design QWL strategies for engaging teachers psychologically, emotionally and cognitively by accelerating employees’ positive emotions and behaviours. Finally, the paper shows implications for developing the QWL strategies to create a committed and engaged workforce through spiritual leadership.

The paper contributes to the academic literature by investigating interrelationships among variables from a positive organizational scholarship perspective. The paper would help practitioners to comprehend the importance of spiritual leadership in educational institutions.

This research examines what motivates professional truck drivers to engage in eco-driving by linking their self-reports with objective driving scores.

Theory of Planned Behavior (TPB) is illustrated in an embedded, single-case study of a Finnish carrier with 17 of its truck drivers. Data are obtained through in-depth interviews with drivers, their fuel-efficiency scores generated by fleet telematics and a focus group session with the management.

Discrepancies between drivers’ intentions and eco-driving behaviors are illustrated in a two-by-two matrix that classifies drivers into four categories: ideal eco-drivers, wildcards, wannabes and non-eco-drivers. Attitudes, subjective norms and perceived behavioral control are examined for drivers within each category, revealing that drivers’ perceptions did not always align with the reality of their driving.

This study strengthens the utility of TPB through data triangulation while also revealing the theory’s inherent limitations in elucidating the underlying causes of its three antecedents and their impact on the variance in driving behaviors.

Managerial insights are offered to fleet managers and eco-driving solution providers to stipulate the right conditions for drivers to enhance fuel-efficiency outcomes of transport fleets.

This is one of the first studies to give a voice to professional truck drivers about their daily eco-driving practice.

This study aims to explore the impact of hybrid learning on the satisfaction, effectiveness and academic performance of faculty and students in private universities in Kuwait. The study specifically addresses the challenges and experiences confronted by students and faculty members in utilising hybrid learning, assesses whether hybrid learning leads to improvements in academic performance and proposes measures for providing quality hybrid learning models in post-coronavirus disease 2019 (COVID-19) situations.

This study employed a quantitative method by collecting data via a questionnaire targeting private university students and faculty members in Kuwait. A total of 311 participants completed the survey.

The results show that students were in favour of the hybrid learning method and viewed this as being efficient when coming to satisfaction, academic performance and overall effectiveness; whilst faculty members have voiced the members' disfavour of the hybrid model of teaching as the members believe that the system is unjust, especially when coming to student's academic performance.

Although research related to hybrid learning in different parts of the world has existed for many years, the research only recently gained prominence in Kuwait due to the COVID-19 pandemic. This paper will likely be of interest to academics, policymakers, the government and universities as the pandemic continues to make hybrid learning more popular and, therefore, would increase awareness with regards to students' and faculty members' opinions about the system and proposed ways to resolve any issues.