AI Meets the Science of Reading: Innovating Literacy for the 21st Century

Outline

I. Introduction (5 minutes)

Welcome and Opening Remarks
Brief introduction of the panel topic and its relevance.
Overview of the importance of AI in literacy education.
Panelist Introductions
Each panelist briefly introduces themselves and their background.

II. Setting the Stage: The Science of Reading (10 minutes)

Overview of the Science of Reading
Key components of effective literacy instruction.
Importance of evidence-based practices in reading education.
Role of AI in Supporting the Science of Reading
How AI tools align with reading research and best practices.

III. Showcasing AI Literacy Platforms (20 minutes)

Presentation of Selected AI Tools
Each panelist presents one or two AI literacy platforms:
Platform Features: Key functionalities that support literacy development.
Evidence of Effectiveness: Data showcasing student outcomes.
Inclusivity and Accessibility: How the platforms cater to diverse learner needs.
Live Demonstration (if feasible)
.
IV. Engaging the Audience (15 minutes)

Q&A Session
Open the floor for questions from the audience.
Encourage discussion on concerns, experiences, and insights related to AI in literacy education.

VI. Closing Remarks (5 minutes)

Key Takeaways
Recap main points discussed during the panel.
Emphasize actionable strategies for educators to implement in their classrooms.
Encourage attendees to explore AI tools and advocate for inclusive literacy practices.

Invite participants to connect with panelists and each other after the session for further discussion.

Supporting research

The Science of Reading:

National Reading Panel (2000): A comprehensive review of research that identifies effective reading instruction practices, emphasizing the need for phonemic awareness, phonics, fluency, vocabulary, and comprehension.

The Institute of Education Sciences (IES): Reports indicate that systematic phonics instruction improves reading outcomes, especially for struggling readers, highlighting the importance of evidence-based methods in literacy education.

Impact of AI on Personalized Learning

Research by the Bill & Melinda Gates Foundation (2013): Found that personalized learning, facilitated by technology, can significantly improve student achievement, particularly in reading. AI tools can adapt to students' individual needs and provide tailored interventions.

The news and information about AI in education is ongoing and October 2024 the second edition of Personalized Reading: Digital Tools and Strategies to Support All Readers first published by ISTE in 2017 is updated and republished by NCTE.