Scenario

A mid-sized university is launching a new blended learning initiative across several departments. The goal is to make the learning experience more inclusive and personalized, particularly for students with diverse linguistic, cultural, and learning needs. The institution has invested in AI tools, including ChatGPT, Microsoft Immersive Reader, and Otter.ai, but faculty and instructional designers need support in applying these tools effectively.

Personas

  1. Dr. Maria Papadakis – STEM Professor

    • Teaches computer science.

    • Wants to make her content accessible to ESL learners and students with dyslexia.

    • Interested in using AI to create adaptive assessments and visual aids.

  2. Jamal Ahmed – Instructional Designer

    • Works with faculty to redesign courses for digital accessibility.

    • Has experience with UDL principles.

    • Needs to recommend AI tools for content generation and personalization.

  3. Lina Torres – Student Services Officer

    • Supports students with accommodations.

    • Seeks AI solutions to help students with hearing and visual impairments.

    • Wants to ensure ethical use of student data and maintain privacy.

Task Instructions

Objective: Apply and reflect on the use of AI tools to improve accessibility and personalization in a blended course module.

Part 1: Tool Exploration

  • Choose at least two AI tools mentioned in Part 2 (e.g., ChatGPT, Immersive Reader, Otter.ai, Typeform).

  • Use one for content creation (e.g., quiz, lecture outline) and one for inclusion (e.g., text-to-speech, translation).

Part 2: Implementation

  • Dr. Papadakis: Use an AI tool to redesign one 30-minute lesson with accessible and multilingual options.

  • Jamal: Use an AI content generation tool to build an inclusive quiz or assessment with adaptive feedback.

  • Lina: Test a tool for accessibility (e.g., translating lecture notes or using Otter.ai for real-time captions).

Last modified: Tuesday, 6 May 2025, 9:53 PM