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In this paper, we outline the rationale for developing the Survey of the Status of Social Studies (S4). The instrument contains items for analyzing the organizational structure, instructional decision-making, professional attitudes, and demographics of social studies teachers. Nationally-inclusive data generated from this survey analysis were used to examine the technical and theoretical validity of the instrument. Incorporating factor analysis, findings suggest constructs embedded within S4 related to social studies pedagogy, content emphases, and technology-use that reflect extant theory. As such, the S4 and accompanying nationwide data set offer social educators a valuable resource for fostering professional development and policy.

This paper aims to provide the results of a survey of supply chain management (SCM) courses in higher education. This research is unique because it represents the first large-scale study of undergraduate SCM course syllabi taught at universities.

The unit of analysis is an SCM syllabus. Content analysis was performed on each syllabus to identify the actual course coverage including requirements, pedagogy and content emphasis. This aggregated information was used to compare historical research findings in this area, with the current skills identified as important for career success. This data provides the input for a gap analysis between offerings in higher education and those needs identified by practitioners.

Data gathering efforts yielded a sample of 109 undergraduate courses representing 79 schools across North America. The aggregate number of topics covered in undergraduate courses totaled 120. The primary evaluation techniques include exams, projects and homework. Details regarding content and assessment techniques are provided along with a gap analysis between the coverage of supply chain courses and the needs identified by previous academic research.

This study is the first large-scale content analysis of undergraduate SCM course syllabi. The goal is to use this data as a means of continuous improvement in the quality and value of the educational experience on a longitudinal basis. The findings are designed to foster information sharing and provide data for benchmarking efforts in the development of SCM courses and curricula in academia, as well as training, development and recruitment efforts by professionals in the field of SCM.

This paper aims to provide the results of a large‐scale survey of courses dedicated to the field of logistics in higher education. This research is unique because it represents the first large‐scale study of both undergraduate and graduate logistics courses.

Content analysis was performed on each syllabus to identify the actual course coverage: requirements, pedagogy and content emphasis. Content analysis is a descriptive approach to categorize data and the results may be limited by the categorizations used in analysis. This aggregated information was utilized to compare historical research findings in this area with the current skills identified as important for career success. These data provide input for gap analysis between offerings in higher education and those needs identified by practitioners.

Data gathering efforts yielded a sample of 118 logistics courses representing 77 schools and six different countries. The aggregate number of topics covered in undergraduate courses totalled 95, while graduate courses covered 81 different topics. The primary evaluation techniques include the traditional exams, projects and homework. Details regarding learning objectives and grading schema are provided along with a gap analysis between the coverage of logistics courses and the needs identified by practitioners.

The goal is to use these data as a means of continuous improvement in the quality and value of the educational experience. The findings are designed to foster information sharing and provide data for benchmarking efforts in the development of logistics courses and curricula in academia as well as training and development by professionals in the field of logistics.

This paper aims to provide the results of a survey of courses dedicated to the field of supply chain management in higher education. This research is unique because it represents the first large-scale study of graduate supply chain management courses taught at universities globally.

Content analysis was performed on each syllabus to identify the actual course content: requirements, pedagogy and content emphasis. This aggregated information was used to compare historical research findings in this area, with the current skills identified as important for career success. This data provides input for a gap analysis between offerings in higher education and those needs identified by practitioners.

Data gathering efforts yielded a sample of 112 graduate courses representing 61 schools across the world. The aggregate number of topics covered in graduate courses totaled 114. The primary evaluation techniques include exams, projects and homework. Details regarding content and assessment techniques are provided along with a gap analysis between the supply chain management course content and the needs identified by APICS Supply Chain Manager Competency Model (2014).

The goal is to use this data as a means of continuous improvement in the quality and value of the educational experience on a longitudinal basis. The findings are designed to foster information sharing and provide data for benchmarking efforts in the development of supply chain management courses and curricula in academia, as well as training, development and recruitment efforts by professionals in the field of supply chain management.

This chapter highlights the collaborative efforts of committed partners engaged in four distinct yet inter-related programs designed to build leadership capacity across schools serving rural Alaska. The Rural Alaska Principal Preparation and Support (RAPPS) program has built a comprehensive system of leadership development programs that develop aspiring leaders, induct and coach new principals, promote the professional learning of practicing principals, and support the school improvement efforts of the state education department. Each program is described in detail with special attention devoted to the unique elements of the program designs, including summer institutes; cohort models; distance learning offerings; targeted coaching; blended learning models using webinars; critical friends’ conversations; and a festival of ideas. Lessons learned are highlighted, and impact and evaluation results are also detailed.

The purpose of this paper is to examine three high school teachers’ beliefs about how their understanding of historiography influences their teaching.

The authors engaged in a qualitative multiple-case study based on semi-structured interviews and artifact analysis.

The analysis describes the teachers’ understanding of historiography in relation to ideas about historical perspective-taking, textbook use, the incorporation of primary sources in the classroom, and tensions between teaching content and teaching skills. The study concludes that while undergraduate exposure to historiography is potentially useful and can help history teachers manage the complexity of the profession, drawing upon historiographical understandings in order to recognize the construction of historical narratives in the classroom remains a persistent challenge.

Much of the work addressing the potential role of historiographical understanding for teachers has focused on teacher preparation and the ideas held by teaching candidates. This research emphasizes experienced teachers’ beliefs about the role that historiography plays in their teaching.

While the disruptive potential of artificial intelligence (AI) has been receiving growing consensus with regards to its positive influence on entrepreneurship, there is a clear lack of systematization in academic literature pertaining to this correlation. The current research seeks to explore the impact of AI on entrepreneurship as an enabler for entrepreneurs, taking into account the crucial application of AI within all Industry 4.0 technological paradigms, such as smart factory, the Internet of things (IoT), augmented reality (AR) and blockchain.

A systematic literature review was used to analyze all relevant studies forging connections between AI and entrepreneurship. The cluster interpretation follows a structure that we called the “AI-enabled entrepreneurial process.”

This study proves that AI has profound implications when it comes to entrepreneurship and, in particular, positively impacts entrepreneurs in four ways: through opportunity, decision-making, performance, and education and research.

The framework's practical value is linked to its applications for researchers, entrepreneurs and aspiring entrepreneurs (as well as those acting entrepreneurially within established organizations) who want to unleash the power of AI in an entrepreneurial setting.

This research offers a model through which to interpret the impact of AI on entrepreneurship, systematizing disconnected studies on the topic and arranging contributions into paradigms of entrepreneurial and managerial literature.

Drawing on educational science research and concepts, this paper aims to organize and analyze prior accounting literature on the integration of research into teaching and provides evidence for the relevance of integrating research into constructivist management accounting teaching.

Evidence shall be drawn from the autoethnographic account of a case study, namely, an MiM course in a French business school.

The presentation of qualitative research plays a priming role in collective debates where knowledge is co-produced by the group of students.

The analysis opens up many avenues for future research on constructivist accounting teaching (e.g. teachers’ profiles, cross-cultural comparison) and its consequences.

The case provides examples of how, in practice and beyond general principles, the constructivist teacher adapts to his/her audience and their educational heritage. It also invites a holistic consideration of teaching arrangements, the relationships between their elements and their collective impact on learning.

The case study, the analysis of which draws on educational science frameworks and concepts, provides an in-depth account of research integration into constructivist accounting teaching.

This chapter addresses information literacy instruction (ILI) in business schools, where learning outcomes receive considerable emphasis due to accreditation requirements, and where information literacy outcomes are increasingly being recognized as critical to graduates’ success in the workplace. We report a study examining ILI practices and program components against the background of student demographics and factors in the learning environment. The outcomes of those instructional experiences for students are analyzed, including psychological, behavioral and benefit outcomes. Data were collected via student skills testing; interviews with students, teaching faculty, librarians, and school administrators; and a web survey of students. Taken together, the results convincingly demonstrate that ILI is a complex undertaking with diverse perceived outcomes. Some success is evident, and verifiable outcomes include increased student self-efficacy; positive perceptions of libraries, librarians, and online library resources; improved and increased use of librarians and online library resources; and increased efficiency and effectiveness of conducting information research. The results demonstrate the value of pedagogical approaches such as active learning, just-in-time instruction, and integration of information literacy instruction with course curricula, as well as the importance of marketing efforts to manage students’ expectations of instructional benefits. Although instruction remains uneven and complex due to divergent expectations and assumptions by different stakeholders (students, librarians, and administrators), successful learning outcomes are possible.