Artificial Intelligence in Assessment: Does it Belong? 

As the use of artificial intelligence (AI) continues to transform various aspects of education, including assessment and grading, this session will explore the role of AI in assessment and its potential impact on teaching and learning. This interactive discussion will examine the benefits and limitations of using AI in assessment, as well as the ethical considerations and challenges that arise when implementing AI-based assessment systems.

Learning Objectives:

1. Understand the current state of AI in assessment, including its applications and benefits.
2. Critique the limitations and potential drawbacks of using AI in assessment.
3. Explore the ethical implications of AI-based assessment, including issues of bias and fairness.
4. Consider the potential role of human judgment in AI-based assessment systems.

Participant Takeaways:

1. A deeper understanding of the possibilities and limitations of AI in assessment.
2. Insights into the ethical considerations and challenges associated with AI-based assessment.
3. Strategies for evaluating and implementing AI-based assessment systems in their own educational settings.
4. A framework for making informed decisions about the use of AI in assessment.

Emily Smith, Associate Professor of Special Education University of Alaska Southeast, CEDS President

What can the DEC Standards, DEC Recommended Practices, and the HLPs do to help me improve outcomes for the families we serve? 

Learn more about how the DEC Standards, DEC Recommended Practices, and HLPs can support faculty, students and TA providers, administrators, and EI/ECSE Teams in 0-5.

Peggy Kemp, Executive Director, DEC

Christine Spence

Inclusion in 0-5

Which knowledge, skills, and practices lead to inclusion of young children with diagnosed disability and developmental delays with a variety of support and service needs? How can you support inclusive environments as an educator? a special educator? administrator? 

Serra Acar

LaShorage Shaffer

Working with Students Identified with LD and ADHD

Better understanding of characteristics of students identified as both LD and ADHD. Learning about strategies to work with students with both LD and ADHD.