Embedded Library Sessions

Librarians provide embedded library sessions to support faculty’s teaching and research. If you require an embedded session, a Librarian will visit your classroom to deliver a specific session customized for your course. These sessions can last 30 minutes to 1.5 hours based on your needs and course contents. Embedded sessions can be delivered online, face-to-face, hybrid or pre-recording based on the class cohort and instructor’s arrangement. The goal of the sessions are to help students improve their awareness of getting and using information of any kind properly.

Topics we may cover in embedded sessions include but are not limit to

  • General introduction to DKU Library resources
  • Using subject databases
  • Searching strategies
  • Literature reviews
  • Evaluating resources
  • Copyright and Fair Use
  • Introduction to citation management tools – Zotero or EndNote
  • Research Data Management
  • Engaging with Primary Sources 

Faculty may request an embedded session by contacting the librarian of your division or program.

Andrew Lee

andrewyanqing.lee@dukekunshan.edu.cn

Liaison Areas

  • UG Division of Social Sciences
  • Master of Environmental Policy
  • Environmental Research Center
  • Center for the Study of Contemporary China

Mengjie Zou

mengjie.zou@dukekunshan.edu.cn

Liaison Areas

  • UG Division of Arts and Humanities 
  • The Language and Culture Center
  • Master of Science in Global Health
  • Global Health Research Center
  • Humanities Research Center

Hongyi Gong

hongyi.gong@dukekunshan.edu.cn

Liaison Areas

  • UG Division of Natural and Applied Sciences
  • Master of Engineering in Electrical and Computer Engineering
  • Master of Management Studies
  • Master of Science in Medical Physics
  • Institute of Applied Physical Sciences and Engineering
  • Zu Chongzhi Center for Mathematics and Computational Sciences

For data-related and technological topics, faculty may also request an embedded session by contacting the librarians listed below for your interested topics.

Xueying Cheng

xueying.cheng@dukekunshan.edu.cn

Specialties

  • Python
  • Machine Leaning