How should we engage students on the matter of generative AI and learning in our courses? Examples from Yee, Uttich, Main & Giltner’s AI Hacks for Educators will be shared, with an opportunity to practice with different generative AI tools. Session Four will demonstrate ways to prompt GenAI to generate charts, graphs, and infographics. This session is suitable for participants with minimal experience using generative AI but will be most useful if you know how to access Microsoft CoPilot through your UConn Microsoft 365 login.

Detection of AI use will not be the focus of these sessions, but we may discuss AI-resistant activities and assignments. You are encouraged to contribute your questions, ideas, and experiences.

Register - https://fins.uconn.edu/secure_inst/workshops/workshop_view.php?ser=3346

This faculty development program explores the role of both direct and indirect measures in comprehensively assessing student learning outcomes. Participants will gain valuable insights into the strengths and limitations of each approach and learn strategies for effectively aligning these measures to create a more holistic understanding of student achievement and educational effectiveness. Key topics include:

• Understanding direct and indirect measures of student learning

• The value of integrating both approaches in assessment

• Strategies for aligning direct and indirect measures

• Practical examples and case studies

• Overcoming common challenges in assessment alignment

By the end of this workshop, participants will be able to:

1. Differentiate between direct and indirect measures of student learning
2. Explain the benefits of using both types of measures in assessment
3. Identify strategies for aligning direct and indirect measures in their courses
4. Apply best practices for implementing a comprehensive assessment approach
5. Analyze and interpret results from aligned assessment measures

Register - https://fins.uconn.edu/secure_inst/workshops/workshop_view.php?ser=3272

Join Assistant Director of Community Standards, Brian J. Goepfrich for an engaging and informative session on the evolving role of Generative AI, especially Large Language Model tools, in academic settings. This presentation will cover key topics to help faculty better understand and navigate these emerging technologies in the classroom while upholding academic integrity.

Key topics include:

• Understanding Generative Artificial Intelligence (GAI) and Large Language Models (LLM): Learn the basics of these tools, their potential uses, and the challenges they pose in academic environments.
• Fostering Positive Use: Explore strategies for incorporating Generative AI tools constructively to enhance learning while maintaining academic integrity.
• Setting Clear Expectations: Discover best practices for establishing course guidelines regarding the use of AI tools to promote transparency and fairness.
• Addressing Misuse: Understand how to handle Generative AI or Large Language Models misuse in violation of Academic, Scholarly, and Professional Integrity and Misconduct Policy.
• Student Perspective: Gain insight into how students view and use these technologies, presented from a graduate student’s viewpoint.
• University Statistics: Review relevant university data on the impact and prevalence of AI tool usage in cases referred for academic misconduct.

Register - https://fins.uconn.edu/secure_inst/workshops/workshop_view.php?ser=3387

This workshop addresses the challenges international faculty encounter in U.S. classrooms, including but not limited to language barriers, lack of social support, and cultural differences. Participants will explore effective practices and access valuable resources for teaching, assessment, student engagement, and classroom culture. The session offers practical strategies, impactful class activities, and access to pedagogical tools while fostering a supportive community for ongoing collaboration. Additionally, it highlights campus resources to enhance teaching effectiveness and support professional development.

Register - https://fins.uconn.edu/secure_inst/workshops/workshop_view.php?ser=3402

Grading rubrics are an assessment tool that helps instructors and students focus attention on the important aspects of an assignment. Rubrics promote grading practices that are consistent and free from bias. This introductory workshop explores the elements of a rubric, methods to design rubrics with and without student involvement, and how to apply them within your courses. Attendees are encouraged to bring their rubrics for small group collaborations or their syllabus and ideas for an assignment that would benefit from a rubric.

By the end of this workshop, participants will be able to:

1. Identify the value and role of rubrics in measuring student learning
2. Recognize the steps in creating a rubric
3. Connect rubrics with outcomes and learning data
4. Identify an assignment in your course that could use a rubric and draft the criteria

Register - https://fins.uconn.edu/secure_inst/workshops/workshop_view.php?ser=3393