The Learning Lab experience is supported by both asynchronous and synchronous components. Each part includes a set of resources, an asynchronous discussion, and an interactive live session, all of which culminate in the development of a project to apply learning to local and specific contexts in support of the learning objectives.
Schedule
Part 1: The 8 Dimensions of AI Literacies
April 14, 2025, 12:00–1:30 p.m. ET
In part 1, we’ll focus on understanding AI literacies through various lenses, highlighting the importance of recognizing diverse contexts, values, and cultural considerations in AI use. Participants will explore eight dimensions of AI literacies (cultural, cognitive, constructive, communicative, confident, creative, critical, and civic), gaining an understanding of how these dimensions intersect with and inform the practice of educators and instructional designers. The session will emphasize the need to view AI literacies as a dynamic set of competencies that can be tailored to specific educational contexts.
Learning Objectives:
- Develop a comprehensive understanding of AI literacies by exploring eight key dimensions (cultural, cognitive, constructive, communicative, confident, creative, critical, and civic) and their application in educational practice.
- Recognize and incorporate diverse contexts, values, and cultural considerations when designing and implementing AI-driven tools in educational settings.
- Analyze the dynamic nature of AI literacies and learn to adapt these competencies to align with specific educational contexts and the unique needs of students.
- Identify the dimensions of AI literacies to the instructional design process to create more inclusive, equitable, and effective teaching and learning experiences.
Part 2: Applying AI Literacies in Course Design
April 17, 2025, 12:00–1:30 p.m. ET
Part 2 will focus on how different combinations of AI literacies can be used to design effective and inclusive learning experiences. Participants will explore practical strategies for using AI tools to enhance course design, including personalizing content, ensuring accessibility, and creating adaptive learning pathways. The session will address how AI can support evidence-based design decisions and contribute to developing learning materials that align with individual learner needs.
Learning Objectives:
- Identify AI tools and techniques that support the design of inclusive and adaptive learning experiences.
- Apply the 8 Dimensions of AI Literacies to the development of course content and instructional materials.
- Develop strategies for evaluating and selecting AI tools that align with ethical considerations and diverse learner needs.
- Design a sample learning activity that integrates AI literacies to foster engagement and accessibility.
Part 3: Leveraging AI Literacies to Engage and Assess Learners
April 21, 2025, 12:00–1:30 p.m. ET
In part 3, participants will apply AI literacies needed to facilitate dynamic and interactive learning experiences. We’ll discuss and model how educators can use AI to enhance learner engagement, support real-time feedback, and create a collaborative learning environment. In this session, we’ll review practical examples of AI-facilitated learning and explore ways to apply tools and integrate practice to promote critical thinking, creativity, and deeper understanding of learning materials.
Learning Objectives:
- Analyze how AI tools can be used to facilitate active learning and engagement in various learning settings.
- Demonstrate how to use AI to provide real-time feedback and support personalized learning pathways.
- Develop techniques for fostering a collaborative and inclusive learning community using AI tools.
- Evaluate the ethical implications of using AI tools to facilitate learning, ensuring they support accessibility and inclusivity.
Part 4: Applying AI in the Continuous Improvement of Learning Experiences
April 24, 2025, 12:00–1:30 p.m. ET
In part 4, we’ll apply the AI literacies to assess the efficacy and impact of learning experiences. Participants will learn how to use AI tools to assess course quality, measure alignment between learning outcomes and course content, and identify areas for iterative improvement. We’ll practice using AI to conduct formative and summative assessments, interpret complex data, and make data-driven decisions to enhance instructional quality.
Learning Objectives:
- Identify AI tools and techniques that can be used to assess the efficacy and impact of learning experiences.
- Utilize an AI tool in conjunction with a quality rubric to assess a module of instruction.
- Apply AI literacies to interpret data from assessments, identify trends, and inform instructional decisions.
- Critique and refine current assessment practices to ensure they align with ethical standards and promote educational inclusion.
Lab Project/Assignments
Participants will apply a series of AI literacies to (re)design a module of instruction that leverages generative AI tools to enhance learning experiences. Participants will be tasked with using AI tools to create adaptive and inclusive content, develop engaging learning activities, and facilitate dynamic interactions tailored to diverse learner needs. Once the module is designed, participants will utilize a quality rubric and an AI-based assessment tool to evaluate its effectiveness, identify areas for improvement, and refine their design based on feedback and data analysis. This project encourages participants to critically apply the 8 Dimensions of AI Literacies, ensuring that their instructional design choices are ethical, inclusive, and effective in promoting learner success.