From Static to Dynamic: Reimaging how OERs can Enhance Student Learning
Program Type
Event
Start Date and Time
11-5-2026 8:00 AM
Program Description
What would it look like if every piece of open content could be transformed into an active, pedagogically grounded learning experience — without requiring faculty to have instructional design expertise or coding skills? This lightning talk introduces the OER Activity Content Creator, an AI-assisted Agent developed at Penn State University Libraries, designed to help close the gap between open content and enhance student engagement. The presentation shares a streamlined workflow that allows educators to input learning objectives and OER source material into the AI-assisted Agent to generate Canvas-ready interactive modules — designed around the Pedagogical Integrated Cognitive Engagement Framework, an evidence-based alternative to Bloom’s Taxonomy. The outputs are automatically checked for WCAG accessibility compliance, proper Creative Commons licensing, and alignment to identified student learning needs or gaps. Crucially, this tool is designed for responsible AI integration: it is pedagogically constrained, transparent in its outputs, and faculty-guided — ensuring human judgment is at the center of course design decisions. Attendees will learn how this model simplifies the technical hurdles of creating and embedding widgets with proper licensing, empowering faculty to build high-quality, accessible, pedagogically sound interactive digital learning materials. Learning Outcomes: —Describe the workflow for transforming static OER content into interactive, LMS-embedded learning activities using an AI-assisted authoring tool. —Explain how the PICE frameworks and technical standards (WCAG, Creative Commons licensing) can be embedded into AI-assisted OER development tools to ensure quality and compliance. — Evaluate the role of responsible, faculty-centered AI tools in identifying student learning needs and gaps when designing targeted open, interactive digital learning materials.
From Static to Dynamic: Reimaging how OERs can Enhance Student Learning
What would it look like if every piece of open content could be transformed into an active, pedagogically grounded learning experience — without requiring faculty to have instructional design expertise or coding skills? This lightning talk introduces the OER Activity Content Creator, an AI-assisted Agent developed at Penn State University Libraries, designed to help close the gap between open content and enhance student engagement. The presentation shares a streamlined workflow that allows educators to input learning objectives and OER source material into the AI-assisted Agent to generate Canvas-ready interactive modules — designed around the Pedagogical Integrated Cognitive Engagement Framework, an evidence-based alternative to Bloom’s Taxonomy. The outputs are automatically checked for WCAG accessibility compliance, proper Creative Commons licensing, and alignment to identified student learning needs or gaps. Crucially, this tool is designed for responsible AI integration: it is pedagogically constrained, transparent in its outputs, and faculty-guided — ensuring human judgment is at the center of course design decisions. Attendees will learn how this model simplifies the technical hurdles of creating and embedding widgets with proper licensing, empowering faculty to build high-quality, accessible, pedagogically sound interactive digital learning materials. Learning Outcomes: —Describe the workflow for transforming static OER content into interactive, LMS-embedded learning activities using an AI-assisted authoring tool. —Explain how the PICE frameworks and technical standards (WCAG, Creative Commons licensing) can be embedded into AI-assisted OER development tools to ensure quality and compliance. — Evaluate the role of responsible, faculty-centered AI tools in identifying student learning needs and gaps when designing targeted open, interactive digital learning materials.
