When students are provided with practice or application assignments after learning new content, they often use incorrect strategies because they do not fully understand the underlying concepts. You can prevent this ineffective struggle by providing students with worked examples when introducing a new skill or process.
Fiorella and Mayer argue that learning is generative—students learn best when they actively make sense of new information by selecting, organizing, and integrating it with prior knowledge. They synthesize research identifying eight evidence-based strategies that consistently promote deeper understanding and transfer across contexts. These strategies shift learners from passive reception to active sense-making.
It’s important to identify missing students as soon as possible in the beginning of the semester and to encourage those who have not yet engaged. A simple way to do this is to create a small assignment in Brightspace that all students should submit to by the end of the first or second week of class. After the due date, click on the name of the assignment in Brightspace, and then click Email Users Without Submissions. This will open a new email draft window with the students who have not submitted the assignment in the BCC field. Send a quick message to remind them about the assignment and to let you know if they are having issues with the course.
While there are mixed feelings about generative AI among faculty and students, it’s undeniable that AI is not going away and will continue to become embedded in all aspects of life. Even if students choose not to use it, they still need to understand how it works and ethical implications of its use. Who is going to teach them this?
Chew & Cerbin propose a research-based framework of nine interacting cognitive challenges that teachers must address in order to promote “optimal learning” rather than merely acceptable performance. They emphasize that teaching is not just delivering content but creating the conditions in which students learn. Each of the nine challenges represents a characteristic of how students think, learn, or struggle — the idea being that failure to address any one of these can undermine learning. The authors describe each challenge, provide examples, and suggest instructional strategies for mitigation.