Before Memmo my notes were scattered across PDFs. Now a workspace pulls everything into one place — I see exactly what's still left to study.
This book presents the research-based case that Learner Centered Teaching (LCT) offers the best means to optimize student learning in college, and offers examples and ideas for putting it into practice, as well the underlying rationale. It also starts from the premise that many faculty are much closer to being learner centered teachers than they think, but don’t have the full conceptual understanding of the process to achieve its full impact. There is sometimes a gap between what we would like to achieve in our teaching and the knowledge and strategies needed to make it happen.LCT keeps all of the good features of a teacher-centered approach and applies them in ways that are in better harmony with how our brains learn. It, for instance, embraces the teacher as expert as well as the appropriate use of lecture, while also offering new, effective ways to replace practices that don’t optimizing student learning. Neuroscience, biology and cognitive science research have made it clear that it is the one who does the work who does the learning. Many faculty do too much of the work for their students, which results in diminished student learning. To enable faculty to navigate this shift, Terry Doyle presents an LCT-based approach to course design that draws on current brain research on cognition and learning; on addressing the affective concerns of students; on proven approaches to improve student’s comprehension and recall; on transitioning from “teller of knowledge” to a “facilitator of learning”; on the design of authentic assessment strategies – such as engaging students in learning experiences that model the real world work they will be asked to do when they graduate; and on successful communication techniques.The presentation is informed by the questions and concerns raised by faculty from over sixty colleges with whom Terry Doyle has worked; and on the response from an equal number of regional, national and international conferences at which he has presented on topics related to LCT.
Before Memmo my notes were scattered across PDFs. Now a workspace pulls everything into one place — I see exactly what's still left to study.
Memmo's summaries are gold before exams. I don't have to re-read 800 pages two weeks before — just the important parts.
The AI chat has saved me the night before an exam more than once. I just keep asking until I get it — no waiting on a study group to reply.
The quizzes hit exactly what I need to know. Memmo tracks what I get stuck on — so I only practice what's worth it.
Flashcards with spaced repetition are magic. Memmo knows when I'm about to forget something and brings it back.
The AI podcasts are my favorite. I listen on my way to school and get a recap without sitting at a computer.
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