Is Everything All About AI?

Purpose & objective

I. To help coaches/mentors/educators better understand how AI and data-driven decisions make more appropriate assessments.
II. To show how students with LD and SEN can learn better when given the right platform and technology tools and to share documented outputs comparing old traditional approaches and the new approach empowered by data.
III. To encourage more educators in using a purpose-driven approach to lesson planning, coaching, and mentoring students.

Outline

Content and Activities:
I. Sharing of Student Outputs for Comparison
II. How Data and AI Help in Developing Appropriate Assessments
III. Guide to Nurturing Students’ Strengths and Addressing Students’ Weaknesses

Time: 45 mins.

Processes: Peer-to-peer interaction and sharing

Supporting research

1. Kreider CM, Medina S, Koedam HM. (Dis)ability-informed mentors support occupational performance for college students with learning disabilities and attention-deficit/hyperactivity disorders through problem-solving and a focus on strengths. British Journal of Occupational Therapy. 2021;84(5):263-270. doi:10.1177/0308022620937636
2. Lombardi, A. Rifenbark, G., Monahan, J., Tarconish, E., Rhoads, C. (2020). Aided by Extant Data: The Effect of Peer Mentoring on Achievement for College Students with Disabilities. In Journal of Postsecondary Education and Disability, 33(2), 143-154. University of Connecticut. https://files.eric.ed.gov/fulltext/EJ1273703.pdf.