Full Description
This edited book explores how increasing complexity in higher education has encouraged researchers in the field to adopt interdisciplinary approaches, integrating insights from sociology, psychology, gender studies, economics, geopolitics, philosophy, geography and cutting-edge, data-driven methodologies such as big data analysis, CV analysis and natural language processing techniques. The book offers a nuanced analysis of the interplay between higher education and other societal sectors, showcasing the field's inherent openness and dynamism. The text also explores the role of advanced technologies in pushing the boundaries of research, allowing for a more comprehensive and holistic grasp of knowledge. Aimed at academics, policymakers and research students, this book provides a rich tapestry of insights that reveal the multi-faceted nature of higher education, underscoring the importance of a multi-disciplinary lens to fully appreciate its complexities, and suggest possibilities for future research directions.
Contents
Chapter 1: Introduction.- Part 1: Traditional Disciplinary Perspectives with New Insights.- Chapter 2: The Perspective of Philosophy in Higher Education Research.- Chapter 3: A Psychological Perspective on Higher Education Research.- Chapter 4: Understanding Underprivileged Students in Universities: A Sociological Perspective.- Chapter 5: New Perspectives on Economics in Higher Education Research: Experimental and Structural Approaches.- Part 2: Emerging Disciplinary Perspectives.- Chapter 6: Gender and Higher Education Research: An Interdisciplinary Review.- Chapter 7: Making and Doing Geopolitics: Rethinking Higher Education as Geopolitical Agents.- Chapter 8: Integrating Science of Science Methods to Enhance Higher Education Research.- Chapter 9: Structure, Boundaries, and Connections: Research on Higher Education from a Geographical Perspective.- Part 3: Methodological Perspectives.- Chapter 10: Curriculum Vitae Analysis of Higher Education Research: A Dual Perspective of Social Networks and Econometrics.- Chapter 11: Big Data and Higher Education Research.- Chapter 12: From Text to Insights: The Application and Potential of Natural Language Processing Techniques in Higher Education Research.- Chapter 13: Conclusion.
