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AI Tools for Formative Assessment: Enhancing Feedback and Insights while Saving Time

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Poster
Poster Theme: AI & Emerging Tech in Education
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Session description

Navigate the MTSS process through an interactive, Clue-style game to discover solution pathways. Participants will explore the transformative potential of AI tools. Learn how AI supports teachers in crafting impactful formative assessments, generating deeper data insights, and delivering effective, immediate feedback to inform instructional decisions.

Outline

Welcome participants, connection to ISTE/ASCD standards, and the driving question: "How do we efficiently find the right pathway to support all learners?"

QR code to poll participants on their biggest MTSS challenge/formative data challenge.

Participants will receive a "case file" detailing a student with specific needs. They will work through a multi-tiered decision tree, or the board game, to arrive at a distinct, evidence-based solution.

Discuss that our challenges are often time, data overload, collaboration hurdles, etc. Discuss how AI addresses these obstacles.

The presentation will have interactive parts with the questionnaire and technology to problem-solve a scenario. The board will also be interactive with the game theme. This will allow me to take as much time as a participant needs to engage with me, but also allow new participants to be able to join the poster session and jump into learning.

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Outcomes

After this session, participants will be able to:

-Map MTSS Pathways: Identify and articulate at least three distinct, evidence-based solution pathways within MTSS by completing the interactive, game-based scenario.
-Evaluate AI Potential: Articulate the pedagogical value and transformative potential of leveraging AI tools to enhance data-driven decision making and instructional efficiency in the classroom.
-Design Formative Assessments: Apply practical skills to design impactful, high-leverage formative assessment experiences supported by AI tools, ensuring alignment with learning objectives.
-Analyze Data: Interpret student learning data with AI to gain deeper insights into conceptual understanding and inform immediate, precise adjustments to instructional plans.
-Deliver Targeted Feedback: Implement strategies for delivering timely, specific, and actionable student feedback utilizing data insights provided by AI analysis.

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Supporting research

Taking Action
by, Mike Mattos, Austin Buffum, Janet Malone, Nicole Dimich, Sarah Schuhl, Luis F. Cruz

Clarity for Learning
by, John Almarode and Kara Vandas

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Presenters

Photo
Digital Learning Specialist
Parkway School District

Posters in this theme:

Session specifications

Topic:

Student Engagement and Agency

Grade level:

PK-12

Audience:

Curriculum Designer/Director, Teacher, Technology Coach/Trainer

Attendee devices:

Devices useful

Attendee device specification:

Smartphone: Android, iOS, Windows

ISTE Standards:

For Educators: Designer, Analyst

Transformational Learning Principles:

Elevate Reflection, Ignite Agency