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 text is the first holistic research overview and practical methodological guide for social network analysis in second language acquisition, examining how to study learner social networks and how to use network data to predict language learner behavior and identity.
Authors Kristen Kennedy Terry and Robert Bayley lay out the history of social network analysis in sociolinguistics, discuss the state of the art in empirical findings in applications to language acquisition, offer how-to guidance and best practices for planning, conducting, and understanding this research, and authoritatively set the agenda for future work.
With a variety of helpful features like case studies, suggested research projects, discussion questions, and recommended further reading, this book will be an invaluable resource to students and researchers of second language acquisition, sociolinguistics, education, and beyond.
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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