Last year the Augustana Campus of the University of Alberta ran a pilot study to consider the efficacy of using e-portfolios to deepen students’ learning. We were interested in developing a structure that would enable us to determine how well our students were learning Augustana’s core skill requirements (writing, speaking, critical thinking, and information literacy).
Advances in neuroscience and digital imaging give us an unprecedented understanding of how individuals access, process, and respond to information. Previously we may have had an intuitive understanding that our students learned differently. Now functional MRI scans demonstrate this in living color. However, simply recognizing learner diversity is one thing; navigating this challenge in the classroom is quite another. How can we possibly hope to present content, structure learning experiences, and devise assessments that will be appropriate and effective for students with different learning strengths and challenges? Fortunately, researchers have developed a framework based in neuroscience that can help.
We are definitely way more interested in learning than we used to be. In the early years of my teaching and faculty development work, it was all about teaching: improve it and students will automatically learn more. Now the focus is on how students learn and the implications that has for how we teach.
Lately I’ve been wondering about the learning practices of those of us who teach—what we know about ourselves as learners and how that knowledge influences the decisions we make about teaching. I’ve been trying to recall what I’ve thought about myself as a learner when I was in college. I think I self-identified as a student. I took courses and learned content. I liked some subjects and didn’t like others, which was sort of related to what I thought I could do. But the concept of learning as an entity was pretty much a big amorphous fuzz.
