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Bradley, William David – ProQuest LLC, 2023
The purpose of study was to examine how frontline employees make sense of a planned organizational change. The voices of frontline employees, the group of employees responsible for making the product or delivering the service, have frequently been ignored or neglected during planned change efforts. In this study, attention was focused on the…
Descriptors: Employees, Employee Attitudes, Planning, Organizational Change
Meng, Chengyan – ProQuest LLC, 2023
This study seeks to identify Knowledge Communities (KC) in the field of International Education (IE). Kuhn's concept of research paradigms (2012), Crane's theory of scientific communities (1988), and Linkvist's theory of knowledge communities (2005) provide theoretical basis of this study. Using a novel, mixed methodology -- bibliometrics and…
Descriptors: Communities of Practice, Knowledge Management, International Education, Models
Merminod, Gilles – Multilingua: Journal of Cross-Cultural and Interlanguage Communication, 2023
Since the nineties, the idea that narratives are essential for an efficient communication has massively spread in management, marketing and politics, supported by the profuse publication of storytelling guides and criticized by a number of social commentators. Nevertheless, little is known about how reflexive activities specific to professional…
Descriptors: Interpersonal Relationship, Story Telling, Business Communication, Personal Narratives
Lu, Kristine; Carlson, Spencer E.; Gerber, Elizabeth M.; Easterday, Matthew W. – Instructional Science: An International Journal of the Learning Sciences, 2023
Most social challenges fall outside of the authority of any single individual and therefore require collective action-coordinated efforts by many stakeholders to implement solutions. Despite growing interest in teaching students to lead collective action, we lack models for how to teach these skills. Collective action ostensibly involves design:…
Descriptors: Models, Change, Student Leadership, Undergraduate Students
Véliz, Daniela; Bernasconi, Andrés; Celis, Sergio; Mella, Monserratt; Miranda, Constanza – Journal of Higher Education Policy and Management, 2023
Universities seeking to establish or expand their research missions in developed countries have at their disposal well-established literature on strategies to foster research capacity in universities. On the contrary, the literature on these processes in the context of developing countries is quite recent and scarce. We offer a descriptive,…
Descriptors: Developing Nations, Foreign Countries, Universities, Capacity Building
Henderson, Emerald – Theory and Research in Education, 2023
A new theory of emulation--the method by which one learns from moral role models--is emerging through the combined efforts of philosophers, psychologists and educationists. Using a previous argument reconceptualising emulation as a moral virtue as a philosophical springboard, in this paper, I extend this theory by building a more robust case for…
Descriptors: Role Models, Ethical Instruction, Moral Values, Moral Development
Senthil Kumaran, V.; Malar, B. – Interactive Learning Environments, 2023
Churn in e-learning refers to learners who gradually perform less and become lethargic and may potentially drop out from the course. Churn prediction is a highly sensitive and critical task in an e-learning system because inaccurate predictions might cause undesired consequences. A lot of approaches proposed in the literature analyzed and modeled…
Descriptors: Electronic Learning, Dropouts, Accuracy, Classification
Christie Poteet – New Directions for Student Services, 2023
The Appreciative-Based Change (ABC) Model of Community Engagement focuses on strengthening partnerships and maximizing impact by using an appreciative approach to service-learning while addressing the challenges of community-university partnerships. The model offers phases that identify and leverage unified strengths, assets, and resources to…
Descriptors: Service Learning, Models, Community, Colleges
Xiaona Xia – Interactive Learning Environments, 2023
Effective analysis and demonstration of these data features is of great significance for the optimization of interactive learning environment and learning behavior. Therefore, we take the big data set of learning behavior generated by an online interactive learning environment as the research object, define the features of learning behavior, and…
Descriptors: Learning Strategies, Interaction, Educational Environment, Learning Analytics
David Rutkowski; Leslie Rutkowski; Greg Thompson; Yusuf Canbolat – Large-scale Assessments in Education, 2024
This paper scrutinizes the increasing trend of using international large-scale assessment (ILSA) data for causal inferences in educational research, arguing that such inferences are often tenuous. We explore the complexities of causality within ILSAs, highlighting the methodological constraints that challenge the validity of causal claims derived…
Descriptors: International Assessment, Data Use, Causal Models, Educational Research
Beifang Ma; Maximilian Krötz; Esther Winther – Vocations and Learning, 2024
Modeling vocational competence is increasingly crucial for monitoring and enhancing the quality of Vocational Educational Training (VET), particularly in the context of ongoing international comparative studies known as "large-scale assessments" of vocational education and training. This study endeavors to provide well-structured and…
Descriptors: Vocational Education, Competence, Apprenticeships, Foreign Countries
Rebecca H. Woodland; Rebecca Mazur – American Journal of Evaluation, 2024
Logic modeling, the process that explicates how programs are constructed and theorized to bring about change, is considered to be standard evaluation practice. However, logic modeling is often experienced as a transactional, jargon-laden, discrete task undertaken to produce a document to comply with the expectations of an external entity, the…
Descriptors: Evaluation Research, Evaluation Methods, Program Evaluation, Models
Thanh Thuy Do; Golnoosh Babaei; Paolo Pagnottoni – Measurement: Interdisciplinary Research and Perspectives, 2024
Complex Machine Learning (ML) models used to support decision-making in peer-to-peer (P2P) lending often lack clear, accurate, and interpretable explanations. While the game-theoretic concept of Shapley values and its computationally efficient variant Kernel SHAP may be employed for this aim, similarly to other existing methods, the latter makes…
Descriptors: Artificial Intelligence, Risk Management, Credit (Finance), Prediction
Timothy R. Konold; Elizabeth A. Sanders – Measurement: Interdisciplinary Research and Perspectives, 2024
Compared to traditional confirmatory factor analysis (CFA), exploratory structural equation modeling (ESEM) has been shown to result in less structural parameter bias when cross-loadings (CLs) are present. However, when model fit is reasonable for CFA (over ESEM), CFA should be preferred on the basis of parsimony. Using simulations, the current…
Descriptors: Structural Equation Models, Factor Analysis, Factor Structure, Goodness of Fit
Rosa W. Runhardt – Sociological Methods & Research, 2024
This article uses the interventionist theory of causation, a counterfactual theory taken from philosophy of science, to strengthen causal analysis in process tracing research. Causal claims from process tracing are re-expressed in terms of so-called hypothetical interventions, and concrete evidential tests are proposed which are shown to…
Descriptors: Causal Models, Statistical Inference, Intervention, Investigations

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