Over the past several posts, I have explored how AI can support learners at different moments of need. The series began with a simple premise: AI should not be used simply because it is available. It should be used when it helps learners do meaningful learning work. That distinction matters. It is easy to start […]
Challenged by Change When Learning In the previous post about helping students work through problems during their learning experience, I explored how AI can support learners when they encounter problems, uncertainty, and unexpected challenges. Those moments often arise when something does not work as expected, and students must diagnose, interpret, and work through difficulty. But […]
When Understanding Is Not Enough In the previous post, I focused on helping students apply what they know. That is an important step in learning because understanding alone is not enough. Learners eventually need to use ideas, methods, and tools in real situations. But application does not always go smoothly. Sometimes students begin using what […]
When Understanding Is Not Enough In the previous post, I focused on helping students build understanding. That is an essential moment in learning, but it is not the end of the learning process. Students may understand an idea well enough to explain it and still struggle when asked to use it in a real situation. […]
In the previous post on using GenAI to help students who are just getting started on their learning journey, I focused on helping students get started at the very beginning, often trying to figure out what to do (to begin learning), and how to do it.. That moment matters because students cannot engage deeply with […]
In every course I’ve taught, whether as a high school teacher, an undergraduate instructor, or working with graduate students, there is a predictable pattern in the first few days. Some students get started right away. They understand what the course is about, what is expected of them, and how to begin. Others are less certain. […]
In the first post in this series, I introduced the idea of AI in the Moment of Learning Need (AIMON) framework as a way of thinking about AI not as a general-purpose tool, but as a form of support that should be aligned to specific points in the learning process. That shift from tool to timing […]
This post is the first in an eight-part blog series exploring AI in the Moment of Learning Need (AIMON – I treat the “L” as invisible). Over the next several weeks in the HyFlex Learning Community blog, I’ll introduce the core framework, share the design principles behind it, and illustrate how it can support teaching and learning through […]
Join us on Thursday, June 26, 2025 online, 9:00 AM – 3:30 PM ET. Hosted by the HyFlex Learning Community and the HyFlex Collaborative at the University at Albany, SUNY. The HyFlex Collaborative is pleased to announce the 2025 annual HyFlex Collaborative Conference on Thursday, June 26, from 9:00 AM to 4:30 PM Eastern Standard […]
As educators and students continue adapting to evolving learning environments post-pandemic, the Hybrid-Flexible (HyFlex) model has emerged as a vital strategy for providing flexible, inclusive, and technology-driven education. In 2024, academic researchers have expanded our understanding of how HyFlex impacts learning outcomes, engagement, and equity across educational settings with many interesting”post-pandemic context” articles. This post […]