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Curious About Virtual Reality?

Whether you're completely new to VR or already exploring it for research, storytelling, gaming, art, or education our Drop-in VR sessions are for you! Stop by the Digital Scholarship Lab to try out one of our HTC Vive XR Elite headsets, get hands-on experience and learn about our VR Headset Loan Program.

Intro to VR @ DSL is here to help you explore the possibilities of Virtual Reality, whether you're looking to:

- Experience immersive gameplay: for fun, fitness, storytelling, or team-building
- Create in 3D: With sculpting, painting, designing and more
- Explore the world: travel virtually to natural landscapes, historical sites, landmarks and more
- Try a simulated experience: from floating in space to riding a roller coaster, even performing surgery

No experience is needed, just bring your curiosity and dive in!

 

Drop-In VR Sessions
Sept 10th, Sept 24th, Oct 29th, &  Nov 19th
From 4:00 PM – 7:00 PM

 

For parking information visit http://maps.msu.edu/interactive.
If you have questions about accessibility or need to request accommodations, please email lib.dl.accessibility@msu.edu.

Curious About Virtual Reality?

Whether you're completely new to VR or already exploring it for research, storytelling, gaming, art, or education our Drop-in VR sessions are for you! Stop by the Digital Scholarship Lab to try out one of our HTC Vive XR Elite headsets, get hands-on experience and learn about our VR Headset Loan Program.

Intro to VR @ DSL is here to help you explore the possibilities of Virtual Reality, whether you're looking to:

- Experience immersive gameplay: for fun, fitness, storytelling, or team-building
- Create in 3D: With sculpting, painting, designing and more
- Explore the world: travel virtually to natural landscapes, historical sites, landmarks and more
- Try a simulated experience: from floating in space to riding a roller coaster, even performing surgery

No experience is needed, just bring your curiosity and dive in!

 

Drop-In VR Sessions
Sept 10th, Sept 24th, Oct 29th, &  Nov 19th
From 4:00 PM – 7:00 PM

 

For parking information visit http://maps.msu.edu/interactive.
If you have questions about accessibility or need to request accommodations, please email lib.dl.accessibility@msu.edu.

This hybrid workshop introduces educators to core strategies for designing effective assessments that support student learning and course goals. Participants will explore various types of assessments, evaluate their alignment with learning objectives, and compare approaches based on course context, including discipline, size, and level. The session will also address the emerging role of generative AI in assessment design, offering insights into both challenges and opportunities in today’s evolving educational landscape.

Upon completion of this learning experience, participants will be able to:


identify various assessments strategies and their types
evaluate whether various assessment types are aligned with a course's objectives
compare different assessment strategies based on course discipline, size, level, and goals

describe the role of generative AI in assessment design.



The in-person location for this session is the Center for Teaching and Learning Innovation. Please join us in the Main Library, Room W207. For directions to W207, please visit the Room Locations page..

This workshop is designed to equip MSU educators with the knowledge and skills necessary to navigate the evolving educational landscape shaped by generative AI. Participants will explore the multifaceted impact of AI on teaching and learning, and develop strategies to integrate AI into their courses effectively while addressing both opportunities and challenges.

Upon completion of this learning experience participants will be able to:


implement AI tools and techniques to enhance teaching practices and improve administrative efficiency in their courses
integrate discussions and content about AI within their discipline to help students understand its relevance and implications in their field of study
develop comprehensive AI policies for their courses, addressing acceptable use, academic integrity, and guidelines for AI-supported assignments and assessments.