We found 5 results that contain "assessment"

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.


 

This workshop introduces the concept of alignment as a foundation for effective course and assessment design. Participants will learn how to write clear, measurable learning objectives, identify course materials and assessments that align with those objectives, and evaluate the overall coherence of course elements. The session emphasizes backward design as a practical approach to creating intentional, goal-driven learning experiences.

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


define the concept of alignment as it pertains to curriculum design and development
write appropriately stated learning objectives using best practices (e.g., learning taxonomy)
suggest course materials and assessments that are aligned with learning objectives
evaluate various parts of a course for alignment.

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..