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Library Instruction: Library Services

Library Instruction

Librarians can design and provide customized library workshops for your class based on a variety of discipline-specific topics related to information literacy.

These workshops are customized according to your class research projects and assignments and we aim to empower your students to accomplish the following:

  • improve the quality and credibility of sources used in student assignments
  • teach your students how to find, use, and evaluate information effectively and ethically
  • guide your students on using discipline and subject-specific resources

Some topics that your librarian can cover during library instruction sessions:

  • Finding and evaluating sources and information
  • Citing sources and plagiarism
  • Finding and using images responsibly
  • Effective search techniques 
  • Searching databases effectively 
  • Literature reviews and effective literature search
  • Advanced searching for systematic reviews
  • Researching beyond NTU Library’s collections eg. National Archives of Singapore, NewspaperSG
  • Visualising information or data using StoryMaps, Timelines and Tableau

We can also design library research guides and self-paced e-learning tutorials to help with student learning.
View examples below.

An Introduction to Statista

Resource title: An introduction to Statista by NTU Library
Resource type: Video
Purpose of resource: This resource was created as a reference for an undergraduate library workshop to enable students to learn how to use Statista on their own.
Suggested uses for this resource: This resource may also be useful for students who need to get statistical data or reports for their research project.

Research Data Management E-Learning Course

Resource title: Research Data Management E-Learning Course
Resource type: E-Learning
Purpose of resource:  Research Data Management (RDM) e-learning course introduces good RDM practices based on the latest policies and guidelines. Good RDM practices help to mitigate risks such as data loss, leakage, infringement of data reuse terms, or even research integrity related risks such as data falsification and fabrication.