7 results on '"Wang, Yinying"'
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2. What Is the Role of Emotions in Educational Leaders' Decision Making? Proposing an Organizing Framework
- Author
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Wang, Yinying
- Abstract
Purpose: Emotions have a pervasive, predictable, sometimes deleterious but other times instrumental effect on decision making. Yet the influence of emotions on educational leaders' decision making has been largely underexplored. To optimize educational leaders' decision making, this article builds on the prevailing data-driven decision-making approach, and proposes an organizing framework of educational leaders' emotions in decision making by drawing on converging empirical evidence from multiple disciplines (e.g., administrative science, psychology, behavioral economics, cognitive neuroscience, and neuroeconomics) intersecting emotions, decision making, and organizational behavior. Proposed Framework: The proposed organizing framework of educational leaders' emotions in decision making includes four core propositions: (1) decisions are the outcomes of the interactions between emotions and cognition; (2) at the moment of decision making, emotions have a pervasive, predictable impact on decision making; (3) before making decisions, leaders' individual differences (e.g., trait affect and power) and organizational contexts (e.g., organizational justice and emotional contagion) have a bearing on leaders' emotions and decision making; and (4) postdecision behavioral responses trigger more emotions (e.g., regret, guilt, and shame) which, in turn, influence the next cycle of decision-making process. Implications: The proposed framework calls for not only an intensified scholarly inquiry into educational leaders' emotions and decision making but also an adequate training on emotions in school leadership preparation programs and professional development.
- Published
- 2021
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3. Artificial Intelligence in Educational Leadership: A Symbiotic Role of Human-Artificial Intelligence Decision-Making
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Wang, Yinying
- Abstract
Purpose: Artificial intelligence (AI) refers to a type of algorithms or computerized systems that resemble human mental processes of decision-making. This position paper looks beyond the sensational hyperbole of AI in teaching and learning. Instead, this paper aims to explore the role of AI in educational leadership. Design/methodology/approach: To explore the role of AI in educational leadership, I synthesized the literature that intersects AI, decision-making, and educational leadership from multiple disciplines such as computer science, educational leadership, administrative science, judgment and decision-making and neuroscience. Grounded in the intellectual interrelationships between AI and educational leadership since the 1950s, this paper starts with conceptualizing decision-making, including both individual decision-making and organizational decision-making, as the foundation of educational leadership. Next, I elaborated on the symbiotic role of human-AI decision-making. Findings: With its efficiency in collecting, processing, analyzing data and providing real-time or near real-time results, AI can bring in analytical efficiency to assist educational leaders in making data-driven, evidence-informed decisions. However, AI-assisted data-driven decision-making may run against value-based moral decision-making. Taken together, both leaders' individual decision-making and organizational decision-making are best handled by using a blend of data-driven, evidence-informed decision-making and value-based moral decision-making. AI can function as an extended brain in making data-driven, evidence-informed decisions. The shortcomings of AI-assisted data-driven decision-making can be overcome by human judgment guided by moral values. Practical implications: The paper concludes with two recommendations for educational leadership practitioners' decision-making and future scholarly inquiry: keeping a watchful eye on biases and minding ethically-compromised decisions. Originality/value: This paper brings together two fields of educational leadership and AI that have been growing up together since the 1950s and mostly growing apart till the late 2010s. To explore the role of AI in educational leadership, this paper starts with the foundation of leadership--decision-making, both leaders' individual decisions and collective organizational decisions. The paper then synthesizes the literature that intersects AI, decision-making and educational leadership from multiple disciplines to delineate the role of AI in educational leadership.
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- 2021
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4. Pulling at Your Heartstrings: Examining Four Leadership Approaches from the Neuroscience Perspective
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Wang, Yinying
- Abstract
Purpose: This review study aims to bridge neuroscience and educational leadership by exploring the neural mechanisms of the constructs relevant to educational leadership. Research Methods: The reviewed literature includes 69 neuroscience studies and 4 books on neuroscience. The brain activities and neurotransmitters associated with the constructs pertinent to educational leadership were coded to bridge the knowledge base of neuroscience and educational leadership. Findings: The neural mechanisms of the constructs related to educational leadership (e.g., vision, charisma, trust, and organizational justice) were organized by four different leadership approaches: charismatic, transformational, destructive, and culturally responsive school leadership. Emotions are the common thread weaving through all four leadership approaches. Implications: This study has salient theoretical, methodological, and practical implications for educational leadership. Theoretically, the findings not only accentuate the role of emotions in educational leadership, but also reveal the trade-off between emotions and analytical calculation in leaders' decision making. Methodologically, the neuroscience methods (e.g., functional magnetic resonance imaging, quantitative electroencephalography, and hormonal analysis) add to the methodological repertoire of educational leadership research. Practically, the findings warrant the emotion training and present the potential of using neurological measurements in school leadership preparation and professional development.
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- 2019
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5. It All Starts with Forging Social Ties: Developing School Leadership from the Social Network Perspectives
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Wang, Yinying
- Abstract
School leadership can be developed and strengthened from many approaches, including, but not limited to, transformational, instructional, distributed, and social justice leadership. This article presents an alternative perspective to develop school leadership from the social network perspectives. Drawing upon the growing body of research on social networks in school leadership, this article elucidates the evidence-based school leadership practices from four facets: social ties, network structure, social influence, and school culture. These four facets influence one another as the school leaders emerge, exercise leadership, and build a nurturing school culture through forging social ties, shaping network structure, and gaining social influence.
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- 2018
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6. The Panorama of the Last Decade's Theoretical Groundings of Educational Leadership Research: A Concept Co-Occurrence Network Analysis
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Wang, Yinying
- Abstract
Purpose: Given the essential role of theories in research, this study aims to identify the theories and concepts undergirding educational leadership research, illuminate the interconnections among them, and examine the evolution of the theoretical groundings of the field from 2005 to 2014. Methods: This study constructed a concept co-occurrence network, in which the nodes represent all the framing concepts that theoretically framed the 1,328 articles published in four leading educational leadership research journals ("Educational Administration Quarterly," "Journal of Educational Administration," "Educational Management Administration & Leadership," and "Journal of School Leadership") over the past decade and the ties link the concepts that co-occur in an article. The reference frequency and centrality measures were used to identify the influential concepts. Next, the k-core analysis was performed to visualize the interconnections among the concepts. Moreover, a series of network cohesion measures were used to detect the changes in conceptual cohesion over the past decade. Findings: While 295 framing concepts guided the educational leadership empirical studies, a small number of concepts exerted a disproportionately large influence on the research. Furthermore, these influential concepts closely interplay with one another, and the strongest interconnection was seen between the concepts of leadership approaches and organizational perspectives. Last, the increasingly pluralistic theoretical foundation did not yield the growing conceptual cohesion in educational leadership. Implications: This study for the first time elucidates the structure and evolution of the theoretical groundings of educational leadership research, laying the foundation for further theory development and inviting researchers to bring conceptual cohesion to this field through integrating concepts, allowing random ideas to mutate, and developing new theories.
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- 2018
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7. Automated Text Data Mining Analysis of Five Decades of Educational Leadership Research Literature: Probabilistic Topic Modeling of 'EAQ' Articles From 1965 to 2014
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Wang, Yinying, Bowers, Alex J., and Fikis, David J.
- Abstract
Purpose: The purpose of this study is to describe the underlying topics and the topic evolution in the 50-year history of educational leadership research literature. Method: We used automated text data mining with probabilistic latent topic models to examine the full text of the entire publication history of all 1,539 articles published in "Educational Administration Quarterly" (EAQ) from 1965 to 2014. Given the computationally intensive data analysis required by probabilistic topic models, relying on high-performance computing, we used a 10-fold cross-validation to estimate the model in which we categorized each article in each year into one of 19 latent topics and illustrated the rise and fall of topics over the "EAQ's" 50-year history. Findings: Our model identified a total of 19 topics from the 1965 to 2014 "EAQ" corpus. Among them, five topics--inequity and social justice, female leadership, school leadership preparation and development, trust, and teaching and instructional leadership--gained research attention over the 50-year time period, whereas the research interest appears to have declined for the topic of epistemology of educational leadership since the 2000s. Other topics waxed and waned over the past five decades. Implications: This study maps the temporal terrain of topics in the educational leadership field over the past 50 years and sheds new light on the development and current status of the central topics in educational leadership research literature. More important, the panoramic view of topical landscape provides a unique backdrop as scholars contemplate the future of educational leadership research.
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- 2017
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