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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.

The entrepreneur is the main decision-maker in small and medium-sized enterprises and is the principal force in the implementation of a firm's international strategy. Research has paid limited attention to the intangible aspects of human capital, namely behavioural competencies that may have an impact on the entrepreneur's ability to take advantage of international opportunities. This study addresses this gap, identifying the behavioural competencies that distinguish entrepreneurs who pursue a stronger internationalisation expansion beyond the European market.

A competency modelling process is implemented for a sample of Italian entrepreneurs. Data on behavioural competencies are obtained through the coding of behavioural event interviews administrated to the entrepreneurs. Export intensity is adopted as a performance criterion to classify the entrepreneurs.

Three behavioural competencies (change catalyst, teamwork and organisational learning orientation) emerged as more significantly activated by entrepreneurs who show a higher export intensity in the global market.

The exploratory nature of the study, conducted in a small sample and in a specific geographical area, may reduce the generalisability of the findings.

Entrepreneurs can become aware of the behavioural competencies needed for the implementation of internationalisation processes. Additionally, training programmes can be designed to promote the development of these behaviours.

Bridging the literature on international entrepreneurship, cross-cultural studies and competency-based research, this study highlights the role of behavioural competencies in the internationalisation process from a micro level of analysis. This article proposes a competency framework that can be adopted to assess a broader portfolio of entrepreneurs' behaviours.

Analytics technologies are profoundly changing the way in which organizations generate economic and social value from data. Consequently, the professional roles of data scientists and data analysts are in high demand in the labor market. Although the technical competencies expected for these roles are well known, their behavioral competencies have not been thoroughly investigated. Drawing on the competency-based theoretical framework, this study aims to address this gap, providing evidence of the emotional, social and cognitive competencies that data scientists and data analysts most frequently demonstrate when they effectively perform their jobs, and identifying those competencies that distinguish them.

This study is exploratory in nature and adopts the competency-based methodology through the analysis of in-depth behavioral event interviews collected from a sample of 24 Italian data scientists and data analysts.

The findings empirically enrich the extant literature on the intangible dimensions of human capital that are relevant in analytics roles. Specifically, the results show that, in comparison to data analysts, data scientists more frequently use certain competencies related to self-awareness, teamwork, networking, flexibility, system thinking and lateral thinking.

The study was conducted in a small sample and in a specific geographical area, and this may reduce the analytic generalizability of the findings.

The skills shortages that characterize these roles need to be addressed in a way that also considers the intangible dimensions of human capital. Educational institutions can design better curricula for entry-level data scientists and analysts who encompass the development of behavioral competencies. Organizations can effectively orient the recruitment and the training processes toward the most relevant competencies for those analytics roles.

This exploratory study advances our understanding of the competencies required by professionals who mostly contribute to the performance of data science teams. This article proposes a competency framework that can be adopted to assess a broader portfolio of the behaviors of big data professionals.

The purpose of this paper is to make the case for bringing compassion to students in educational settings, preschool through graduate school (PK-20).

First, the author defines what is meant by “compassion” and differentiates it from the related constructs. Next, the author discusses the importance of bringing compassion into education, thinking specifically about preschool, K-12 (elementary and middle school/junior high/high school), college students, and graduate students (e.g. law, medical, nurses, counselors and therapists-in-training). The author then reviews the scant empirical literature on compassion in education and makes recommendations for future research. In the final section, the author makes specific and practical recommendations for the classroom (e.g. how to teach and evaluate compassion in PK-20).

While there is a fair amount of research on compassion with college students, and specifically regarding compassion for oneself, as the author reviews in this paper, the field is wide open in terms of empirical research with other students and examining other forms of compassion.

This is not a formal review or meta-analysis.

This paper will be a useful resource for teachers and those interested in PK-20 education.

This paper highlights the problems and opportunities for bringing compassion into education settings.

To date, no review of compassion in PK-20 exists.

Disaster risk reduction is of prime importance in informal settlements in the Global South, where several forms of vulnerability coexist. Policy and official programmes, however, rarely respond to the needs and expectations of citizens and local leaders living in these settlements. Even though these agents constantly attempt to reduce risks in their own way, we know very little about their activities, motivations and effective impact on risk reduction. Here we seek to conceptualize bottom-up initiatives to better grasp their origins, limitations and success.

Through a four-year action-research project in Colombia, Cuba and Chile, we theorize about the production of change by local agents. Through detailed case studies we explored the activism of 17 local leaders. Through narrative analysis we studied their motivations and explanations. Finally, by documenting 22 initiatives, we revealed effective changes in space.

In the face of risk and disasters, residents and leaders in informal settings engaged in symbolic, physical and social spaces of interaction. Their actions were guided by trust, emotions, time cycles and activism. Local agency was justified by narratives about risk and climate change that differ from those of authorities and scholars.

There is still limited understanding of bottom-up initiatives in informal settings. It is crucial to conceptualize their origins, limitations and success. The focus on three specific countries necessitates further research for broader applicability and understanding.

A better comprehension of bottom-up actions is crucial for informing policies and programmes aimed at reducing risk in informal settings. Stakeholders must recognize the political, social and cultural roles of these actions for more impactful climate action.

We borrow Simon’s concept of “artefact” to introduce the notion of “Artefacts of Disaster Risk Reduction”, providing insights into the multifaceted nature of bottom-up initiatives. We also emphasize the simultaneous political and phenomenological character of these actions, contributing to a deeper understanding of their origins and impact.

Various studies have examined the role of executive functions in autism, but there is a lack of research in the current literature on cognitive flexibility in autism spectrum disorders (ASD). The purpose of this study is to investigate whether cognitive flexibility deficits could be related to facial emotion recognition deficits in ASD.

In total, 20 children with ASD and 20 typically developing children, matched for intelligence quotient and gender, were examined both in facial emotion recognition tasks and in cognitive flexibility tasks through the dimensional change card sorting task.

Despite cognitive flexibility not being a core deficit in ASD, impaired cognitive flexibility is evident in the present research. Results show that cognitive flexibility is related to facial emotion recognition and support the hypothesis of an executive specific deficit in children with autism.

One of the limit is the use of just one cognitive test to measure cognitive flexibility and facial recognition. This could be important to be taken into account in the new research. By increasing the number of common variables assessing cognitive flexibility, this will allow for a better comparison between studies to characterize impairment in cognitive flexibility in ASD.

Investigating impairment in cognitive flexibility may help to plan training intervention based on the induction of flexibility.

If the authors implement cognitive flexibility people with ASD can have also an effect on their social behavior and overcome the typical and repetitive behaviors that are the hallmark of ASD.

The originality is to relate cognitive flexibility deficits to facial emotion.