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 primarily investigates the factors influencing rural teacher well-being in China.
By jointly using international comparable data from Teaching and Learning International Survey (TALIS) as well as China’s survey data from 29 counties of ten provinces in the mainland, this book not only illustrates the current status and influencing factors of rural teacher well-being in 43 education systems from a global perspective but also examines the urban-rural gaps on teacher well-being in China, as well as the explanatory factors in the dimensions of individual, school, and community. Moreover, this book employs the most recent methods developed in well-being literature, such as LASSO, random forests, and SVM, to enhance the data analysis.
The book is valuable for international readers concerned about rural education and rural teachers in China. Researchers who focus on the frontier of well-being research will also benefit from the quantitative applications in this book.
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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