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The integration of technology in special education can profoundly enhance student outcomes (Marino et al., 2024a). For instance, assistive technologies such as speech-to-text software and communication devices enable students with disabilities to participate more actively in the learning process (Fernández-Batanero et al., 2022). Additionally, adaptive learning platforms can customize content to meet individual student needs, fostering personalized learning experiences (Contrino et al., 2024). Moreover, technology can support differentiated instruction, equipping teachers to address the diverse learning profiles and capabilities within their classrooms (Unal et al., 2022). Numerous impediments obstruct the efficacious integration of technology in special education training and implementation. These include inadequate access to requisite technological resources, insufficient professional development opportunities and limited administrative support (Brennan et al., 2024). Furthermore, educators frequently encounter difficulties tailoring technology to the distinct needs of their students, necessitating specialized training and sustained support across the teacher education process (Basham et al., 2024; US Department of Education, 2024a).

This manuscript describes how the University of Maine’s (UMaine) Special Education Teacher Preparation Program addressed these challenges in its special education teacher preparation program through a strategic partnership with the National Center on Innovation, Design and Digital Learning’s (CIDDL) Tech Alliance. Sponsored by a grant from the US Department of Education Office of Special Education Programs, the alliance provides technical assistance for teacher preparation programs to improve technology integration and enhance student performance. The case study begins with a description of the CIDDL Center, followed by the demographic trends of Maine’s PK-12 public school students. Next, an analysis of the UMaine program provides insights into its challenges related to these topics. Finally, the outcomes of this case study are discussed.

The administration and faculty reported ten primary barriers to (RQ1): “What are current barriers related to the UMaine Special Education Teacher Preparation Program’s ability to increase the capacity of education technology integration during the teacher preparation program?” In response to (RQ2): “What was the faculty’s base-line knowledge and capacity to leverage technology within the University of Maine College of Education and Human Development (COEHD) special education, educator preparation programs, and other related education programs?” About 80% of faculty surveyed indicated they considered themselves to have moderate to expert knowledge of the use of digital tools when conducting research/literature reviews (e.g. accessing research databases, locating resources, checking for relevance and credibility of sources). About 80% also indicated having moderate to expert knowledge of the use of technology for communications, such as the use of digital tools for communication/collaboration (e.g. social media, collegial interactions, communities of practice, etc.). Findings also indicated the following faculty needs, which are consistent with the program needs. (1). Limited understanding of how emergent technology can support students with disabilities. (2). Limited knowledge to incorporate Universal Design for Learning during courses taught by professors outside special education. (3). Limited knowledge and abilities to conduct student clinical observations at a distance using technology. In response to (RQ3): “In what ways could the special education program support sustainable strategies to increase innovative technology practices to support positive outcomes for preservice teachers and their future PK-12 students with and without disabilities?” Findings indicated the need for a clear vision at the college and program level of how different types of technology (e.g. assistive technologies, virtual reality, augmented reality and artificial intelligence) could be integrated in the coursework.

This exploratory case study examined UMaine’s Special Education Teacher Preparation Program and its collaboration with the national CIDDL as part of a Tech Alliance initiative. Researchers employed a practice-oriented design (Ebneyamini and Sadeghi Moghadam, 2018) that incorporated multiple data sources, contextual analysis and both qualitative and quantitative data to ascertain the educator preparation program needs related to equipping teachers to utilize technology. The research is limited in that it addresses only one program in the United States. However, the Tech Alliance included ten programs.

The barriers noted for research question one are common across educator preparation programs (EPPs) throughout developed nations (Kerkoff and Cloud, 2020). For example, a study by Williams et al. (2023) indicated the influence of EPP program culture in relation to supporting teacher candidates’ growth is critical as they progress through technology-infused teacher preparation. Additionally, Karchmer-Klein et al. (2021) found that specifically developing teachers technological, pedagogical and content knowledge (TPACK) was crucial, yet not enough to lead to sustained technology integration across teachers’ pedagogical practice in the long term. The authors noted that although participants in their study perceived technology as important, there was a mismatch between this belief and the actual integration of technological tools into their teaching practice (Karchmer-Klein et al., 2021). The lack of access to assessment methods using technology and the integrated use of UDL in course design are also common barriers (Graziano et al., 2023; Marino et al., 2024b; Weisberg and Dawson, 2023). Graziano and colleagues identified key pillars that EPPs should strive for: (1) technology integrated coursework throughout their EPP curriculum, (2) faculty-modeled experiences, (3) opportunities to practice with reflection and (4) fostering of technology self-efficacy amongst EPP students. Likewise, Weisberg and Dawson (2023) noted two pedagogical styles were particularly beneficial for students in EPPs: (1) leveraging technology to teach about equitable and socially just access to education for all learners and (2) adopting a critical stance toward the role of technology integration in schools through modeling digital equity pedagogy.

The integration of emerging technologies, such as artificial intelligence, in special education, as demonstrated by the University of Maine’s program, provides a transformative model that can be adopted worldwide. The necessity of comprehensive professional development and strategic collaboration is emphasized, aligning with global trends toward inclusive education and promoting equitable learning opportunities (Contrino et al., 2024; Fernández-Batanero et al., 2022). The use of assistive technologies, adaptive learning platforms and digital resources in special education is crucial for addressing the diverse learning needs of students with disabilities, making this model relevant and replicable in various educational contexts internationally. Barriers identified in the manuscript, such as limited access to technological resources, insufficient professional development and lack of administrative support, resonate with challenges faced by educational institutions globally. Addressing these challenges through strategic partnerships, as exemplified by the collaboration with the CIDDL, offers a framework for enhancing infrastructure and faculty capabilities internationally (Brennan et al., 2024; Gangone and Fenwick, 2024). Building digital literacy among teacher candidates and integrating Universal Design for Learning (UDL) principles into curricula fosters a more inclusive and technology-driven approach to special education, encouraging global educational stakeholders to prioritize similar strategies within their own contexts (Marino et al., 2024b).

The findings of this exploratory case study underscore the critical importance of integrating emerging technologies into special education teacher preparation programs. UMaine’s collaboration with CIDDL demonstrated that strategic partnerships and targeted professional development can significantly enhance the digital readiness of preservice teachers. This study noted comprehensive professional development, sustained support and the adoption of UDL principles are essential for equipping educators with the skills necessary to effectively incorporate technology into their teaching practices.

In light of the expanding prominence of work-integrated learning (WIL), the pedagogical model that integrates work experiences into an academic curriculum, this paper presents a systematic review that uncovers little-explored students’ reflections of quality (RoQ).

Drawing on the concept of wayfinding rocks and Bronfenbrenner’s (1979) ecological systems theory, the “students’ RoQ (pronounced [ROK]) WIL model” offers guidance for future research, policy development and educational interventions aimed at optimizing students' experiences of WIL.

This paper highlights RoQ WIL through student voice. The outcomes offer a model, contributing insights for institutions, employers and students involved in WIL experiences.

While the study addresses specific limitations such as the use of specific search terms and potential biases, future research is needed to explore cultural capital’s influence on WIL quality. A focus on broadening the scope of data collection to include a more comprehensive range of student perspectives is needed.

The paper suggests practical implications for institutions, employers and educators in designing WIL programs that prioritize student perspectives, ultimately enhancing the quality of WIL experiences.

By focusing on students' RoQ in WIL, this paper fills a significant gap in the literature and provides a foundation for future research and practice in optimizing WIL engagement and outcomes.

This study addresses the need for a validated tool to assess self-directed learning (SDL) behaviors among Thai operational employees in the petrochemical industry. Understanding SDL capabilities is essential for effective human resource development, given the complexity of plant operations and the need for continuous skill enhancement.

This research adapts the self-rating scale of self-directed learning (SRSSDL) to the Thai workplace context. The SRSSDL was translated into Thai and adapted for the workplace. Five experts validated the content, and validity and reliability testing was conducted with 50 operational employees from Thai petrochemical plants. Confirmatory factor analysis (CFA) and Cronbach’s alpha were used to assess the instrument’s reliability and validity.

Content validation confirmed that all SRSSDL items had an item-objective congruence (IOC) score above 0.5. CFA results showed a good model fit (comparative fit index [CFI] = 0.99, Tucker–Lewis index [TLI] = 0.98, root mean square error of approximation [RMSEA] = 0.02 and standardized root mean square residual [SRMR] = 0.02). Reliability analysis showed Cronbach’s alpha values from 0.91 to 0.96, indicating excellent internal consistency.

This research is the first study to assess and prove the content validity, construct validity and reliability of the SRSSDL in the context of Thai workplaces, particularly in the petrochemical industry. The SRSSDL is a reliable and valid tool for assessing SDL behaviors among Thai operational employees. It enhances human resource development by identifying SDL capabilities and fostering continuous improvement and SDL.

This study examines the effect of social media marketing on voting intention applying a combination of fuzzy logic methodology and a multidimensional panel data model.

The study adopts a multidimensional panel data method that includes several fixed effects. The dependent variable is a multifaceted construct that measures the participants’ intention to vote. The independent variables are electronic word of mouth (eWOM), customisation (CUS), entertainment (ENT), interaction (INT), trendiness (TRD), candidate’s perceived image (CPI), religious beliefs (RB), gender and age. The grouping variables that signify fixed effects are employment status, level of education, mostly used social media and religion. First, the significance of said fixed effects was tested through an ANOVA process. Then, the main model was estimated, including the significant grouping variables as fixed effects.

Employment status and level of education were significant fixed effects. Also, eWOM, ENT, INT, CPI, RB and gender significantly affected participants’ voting intention.

Being based on a questionnaire that asked participants about how they perceive different aspects of social media, the present study is limited to their perceptions. Therefore, further studies covering the voters’ behaviour in action could be efficient complements to the present study.

The findings could guide the political parties into prioritizing the aspects of social media in forming an effective campaign resulting in being elected.

The findings have the potential to help the public in making better informed decisions when voting. Furthermore, the results of this study indicate applications for social media which are beyond leisure time fillers.

Fuzzy logic and multidimensional panel data estimates are this study’s novelty and originality. Structural equation modelling and crisp linguistic values have been used in previous studies on social media’s effect on voting intent. The former refines the data gathered from a questionnaire, and the latter considers the possibility of including different grouping factors to achieve a more efficient and less biased estimation.

Inspired by the internationalisation paths to prosperity of small and medium-sized enterprises (SMEs), where narcissistic leaders are diligent about organisations but also pursue their dark goals, this study aims to concurrently examine two avenues for the internationalisation of narcissistic leaders in SMEs concerning the function of team organisational citizenship behaviours (OCB): corporate social irresponsibility (CSI) and digital business model innovation (BMI).

This study utilised a quantitative design emphasising mature theory research, and data was analysed using multiple regression analysis and Hayes' process model. The data for this study was collected via surveys from 270 SMEs in Vietnam.

The study showed that narcissistic Chief Executive Officers (CEOs) can penetrate the global market profoundly by utilising both the righteous path, which is based on the power of the times via BMI, and the unethical path, CSI. However, team devotion via OCB can mitigate the unethical conduct of narcissistic CEOs.

The study endeavoured to find a path to internationalisation for SMEs in emerging markets with high economic openness and increasingly close connections with international markets, via two strategies for SMEs to conquer the international market more successfully, and with utilising the foundations of CEO narcissism and team citizenship behaviour.

This study contributed to the theory of SME internationalisation by employing the resource-based view and upper-echelon theory, with the updated Uppsala model as its foundation.

This study examines the intricate interplay of blockchain, public governance and the circular economy (CE), aiming to assess the potential of blockchain technology (BT) in addressing challenges associated with the adoption of CE principles, particularly in the public sector.

Focused on public governance, the research employs in-depth interviews with Finnish policymakers actively engaged in CE initiatives. Qualitative analysis is applied to derive insights and patterns from the gathered data, providing a nuanced understanding of blockchain’s transformative role.

The study uncovers key dimensions for leveraging blockchain in the CE within the public sector. Notable findings include the significance of contextual transparency, the use of incentivization as a regulatory tool, the role of standardization through strategic autonomy and the importance of public engagement and participation.

This research contributes a unique framework that illuminates the transformative potential of blockchain within the CE, emphasizing its relevance to public governance. The identified dimensions offer practical insights for policymakers and practitioners seeking to navigate the complexities of circular transitions in the public sector.

The process of talent development (TD) is one of the current trends in HRM and human resource development (HRD). Although scientific literature addressing the topic emphasizes that through development of talents, organizations can increase their productivity, performance and competitiveness, little is known so far concerning the development of this research field as a whole and particularly concerning theories prevailing in the area. While research into the field has been ongoing for two decades, the area has not yet been systematized based on key theories used as starting points for the research. The purpose of this paper is to focus on which theories in HRD are used in TD.

Concerning the topicality of TD, the present article provides a systematic review of literature summarizing current theories in TD based on the currently used typology of theories in HRD, adding the fourth pillar to the existing three, i.e. theories concerning adult learning and education, to increase the stability of the typology.

The paper argues that the area of TD prevalently uses sociological, psychological and ethical theories, which may be attributed to trends in HRD. The insufficient representation of theories of learning in TD, particularly in view of the fact that adult learning and development is the essence of TD, is an important finding. This finding is particularly important for science concerning adult learning and education.

The benefit of the presented analysis lies in a systematization of the individual theories and a comprehensive overview of the current theoretical framework of TD, as well as suggestions for future research making use of adult learning and education theories.

This paper examines the growth trajectory, documents, journals, worldwide distribution authors, scientific production and thematic focus in the field of sustainable HRM.

A total of 765 publications (between 1982 and 2023) were chosen from the Scopus database that were diligently examined to reach insightful results. To aid the investigation, the Biblioshiny tool was used.

Through thematic mapping, the study finds that sustainable HRM is still an emerging and contemporary concept. Moreover, the themes of sustainable HRM are underdeveloped and need conceptual clarity. Additionally, these themes have evolved internally which have made a modest contribution to the advancement of the discipline. Furthermore, topic trending, word frequency and document citations indicate that a growing body of literature on sustainable HRM focuses extensively on environmental issues, demonstrating that HRM should be given greater attention to roles related to sustainability in the workplace.

Sustainable HRM should be a top priority for businesses, with an emphasis on environmental and sustainability concerns. To be in line with global sustainability standards, HR training needs to be updated. Companies should develop HR policies that put sustainability first and spend money on analytical tools. Academic and industrial cooperation can improve the field more quickly. Best practices can be standardized by participation in forums. It is crucial to take a holistic approach that balances environmental, social and economic factors.

This study distinguishes itself by adding highlights on bibliometric insights and thematic emphasis on sustainable HRM, adding to the progress of the field's knowledge and offering insightful pathways for future research.

They proposed the necessity of restructuring higher education to provide students and instructors with the skills required for future employment in a world driven by artificial intelligence (AI). The implementation of AI in higher education and its impact on Generation Z students' academic ambitions.

Higher education plays a vital role in cultivating ethical individuals and professionals on a worldwide scale. The implementation of AI in higher education and its impact on Generation Z students' academic ambitions. This study used qualitative methods to examine the viewpoints of students regarding the influence of AI on higher education. For this study, a cohort of 25 students from Pune city was chosen.

The results indicate that there is a need to reform higher education in order to prepare students for future jobs in a society driven by AI. They indicated a lack of extensive understanding on the subject and so sought a clear explanation from an AI during their consultation. Based on the results of this study, it is evident that Generation Z students do not experience fear or worry in relation to emerging technology. On the contrary, they embrace multitasking and actively want to acquire new skills to prepare themselves for the future.

This study has limitations; the data were collected from 25 students, and the insights gathered may not represent the whole population. The geographical restriction was that it was restricted only to Pune. Second, educators are equally important and may have different views; therefore, future studies should collect educators’ views.

They proposed restructuring higher education to provide students and instructors with the skills required for future employment in a world driven by AI. Their proposal introduces novel learning goals that prioritize the development of abilities in both information, learning and education through the use of AI. Participants' narratives are evaluated using advanced techniques such as VOSviewer to give in-depth analysis.

This study aims to examine the research productivity of Pakistan Agricultural Research Council’s (PARC’s) researchers published during 2001–2020 by using scientometric indicators. The study explored the growth and collaborative trends along with authorship and institutional collaborative patterns at the national and international levels.

The study was conducted in four phases. Firstly, a search strategy was designed to retrieve reliable data sets. During the second phase, data from PARC research was retrieved from Scopus and Web of Science (WoS). In the third phase, the data were combined, and duplications were removed. Finally, the data were analysed using RStudio and VOSviewer.

The study identified 2,868 research publications from 16 communication channels spanning over the period of 2001–2020. The growth rate varied during the study period and the year 2020 was the most productive year of the organization. Most of the research was produced in multi-authorship and five authors were dominant. Pakistan Journal of Botany was the most preferred and cited source. Moreover, PARC research collaboration with Pakistani researchers was more than their international counterparts.

Like other research, this research has some limitations. For example, this research is based on secondary data extracted from WoS and Scopus databases, world-renowned online academic. However, researchers should keep in mind while interpreting the results of this study. Secondly, the research publications published by PARC researchers during 2001–2020 were considered. Finally, this research considered English language literature only.

The study’s key theoretical contribution is its strategy for merging WoS and Scopus in RStudio, while its findings could assist agriculture research stakeholders in identifying new areas of research, awards, promotions and identification of research gaps.

To the best of the author’s knowledge, this study is the first to use scientometric indicators to evaluate PARC’s research productivity. This detailed analysis provides a deeper understanding of PARC’s contribution to agriculture research and its potential implications.