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Application-Oriented Higher Education: A Comparative Study Between Germany and China

by Ye Zhang
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Current price ₹8,720.00
Original price ₹13,415.00
Original price ₹13,415.00
Original price ₹13,415.00
(-35%)
₹8,720.00
Current price ₹8,720.00

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Book cover type: Hardcover
  • ISBN13: 9789811926464
  • Binding: Hardcover
  • Subject: N/A
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Publication Date:
  • Pages: 148
  • Original Price: EUR 119.99
  • Language: English
  • Edition: 2022
  • Item Weight: 413 grams
  • BISAC Subject(s): Schools / Levels / Higher and Comparative

From the Back Cover

This book investigates the higher education system in Germany and China, and analyzes the differences between academic higher education and application-oriented higher education. It explores the past, present, and future of application-oriented higher education in these two countries, and discusses the advantages and disadvantages of this type of education. Using multiple data collection methods across case studies and student questionnaires, it demonstrates the necessity of a dual track higher education system based on separate entrance test and admission system to tertiary-level education, which ensures that students have transitional options. Further, it highlights the improvement of teaching quality and student satisfaction with application-oriented higher education and concludes that the international perspectives from higher education should be considered as one of the most significant methods of educational strategies.

Ye Zhang is currently an associate professor at School of International Exchange, Shanghai Polytechnic University, and a Member of several academic associations. She has published widely on comparative education and higher education and undertaken several research projects sponsored by various institutions. She received her Ph.D. degree in Pedagogy from the University of Munich, School of Psychology and Education, Germany.
Xinrong Chen is a professor at Fudan University and a member of several academic associations. His research areas are artificial intelligence and machine learning.

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