Empowering Academic Librarians Through the Structured AI Research Framework (SARF)

This two-hour professional development session is designed to equip academic librarians with the knowledge and skills to integrate AI tools into academic research workflows using the SARF framework. The course will combine theoretical instruction with practical demonstrations, showcasing how AI tools can enhance research efficiency while maintaining academic integrity.

Resource URL: https://mhsla.wildapricot.org/event-6059132

Learning Objectives

Upon completing this training course, participants will be able to:

• Effectively Integrate AI into Academic Research – Understand and apply the Structured AI Research Framework (SARF) to enhance research efficiency and integrity.
• Critically Evaluate AI Tools for Research – Assess the strengths and limitations of AI tools, ensuring responsible and ethical use in academic settings.
• Optimize Literature Review and Data Analysis – Use AI-driven methods to streamline literature searches, citation management, and thematic analysis.
• Develop and Communicate Research Findings – Utilize AI-assisted writing and visualization tools to create structured, well-supported academic outputs.

Timed Agenda (2-Hour Session)

• Time Activity Instructional Format:
  • 00:00 – 10:00 Introduction to the Session & SARF Overview Lecture
  • 10:00 – 30:00 AI Tools for Literature Review and Citation Management Lecture & Discussion
  • 30:00 – 50:00 AI for Data Synthesis and Research Writing Hands-on Example & Discussion
  • 50:00 – 60:00 Break –
  • 60:00 – 80:00 Ethical Considerations & Case Study Review Group Discussion
  • 80:00 – 100:00 Real-World Applications & Interactive Research Challenge Guided Activity
  • 100:00 – 120:00 Wrap-Up, Q&A, and Next Steps Open Discussion

MLA CE Credits: 2