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 broadly educates preservice teachers and scholars about current research on computational thinking (CT). More specifically, attention is given to computational algorithmic thinking (CAT), particularly among underrepresented K–12 student groups in STEM education.
Computational algorithmic thinking (CAT)—a precursor to CT—is explored in this text as the ability to design, implement, and evaluate the application of algorithms to solve a variety of problems. Drawing on observations from research studies that focused on innovative STEM programs, including underrepresented students in rural, suburban, and urban contexts, the authors reflect on project-based learning experiences, pedagogy, and evaluation that are conducive to developing advanced computational thinking, specifically among diverse student populations.
This practical text includes vignettes and visual examples to illustrate how coding, computer modeling, robotics, and drones may be used to promote CT and CAT among students in diverse classrooms.
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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