Higher education
fromeLearning Industry
5 hours agoAI In Higher Education: Transforming Operations
AI can significantly enhance administrative efficiency and student engagement in higher education.
Michelle Medintz spent at least $5,000 in 2022 alone, largely on books. She created a 'cozy corner' in her classroom with shelves filled with books, cushions on the floor, and stuffed animals. 'That doesn't make me a better teacher than my colleagues,' Medintz said.
This is a striking decision at a moment when public confidence in higher education is eroding. It is also puzzling because rigorous research and evaluation have demonstrated, over and over, the value of the work of centers for teaching and learning, including positive impacts on student learning outcomes, institutional effectiveness and faculty development.
At its core, the curve of learning represents how quickly proficiency increases through experience. The learning curve theory shows that improvement is not linear. At first, people might feel confused and make mistakes, which can slow progress. After some time, though, they start to improve faster. Eventually, as they approach mastery, progress may slow again.
Like most Americans, my view of homeschooling was framed through the lens of abnormality. My own public-school education was my only frame of reference. Although my own experience wasn't great, it was familiar. It was the system I knew. As a college professor, I regularly saw the academic gaps my students carried with them from their public-school education. Yet even then, I struggled to imagine an alternative. My instinct was always to fix the existing system, not step outside of it.
Collective learning is how a group or system creates, improves, and keeps knowledge. This knowledge lasts beyond any one person or cohort. That is the most practical collective learning definition, because it shifts the focus away from individuals and toward the learning system itself.
When we look more closely at how and why organizations actually invest in these systems, we can see that the popularity of adaptive learning has far less to do with pedagogical ambition and far more to do with operational pressure. Understanding this gap between how adaptive learning is marketed and how it is used in practice is critical for organizations trying to decide whether it is the right approach for their learning needs.
Choosing the right training content isn't about how much training content you offer. It's about how well that content fits the job it needs to do. The real training challenge is not content. It's fit We often hear that teams need more training. But when we dig deeper, the problem is rarely a lack of courses. It's a lack of focus. Training often fails because different needs get lumped together into one giant learning initiative. For instance, it's impossible to use the same approach for teaching introduction to Python as for harassment prevention.