154 - Timeboxing Chinese: Get more done in less time
Episode description
If you don’t invest the necessary time into learning Chinese, it doesn’t matter how good your method is. Timeboxing is a wonderful way to get more done in less time.
Link to article: Timeboxing Chinese: Get more done in less time: https://www.hackingchinese.com/timeboxing-chinese/
#learnchinese #timemanagement #timeboxing #gettingthingsdone
Three factors that decide how much Chinese you learn: https://www.hackingchinese.com/three-factors-decide-much-chinese-learn/
Learning Chinese is more like walking a thousand miles than running 100-metre dash: https://www.hackingchinese.com/learning-chinese-is-more-like-walking-a-thousand-miles-than-running-100-metre-dash/
The 10 best free Chinese listening resources for beginner, intermediate and advanced learners: https://www.hackingchinese.com/the-10-best-free-chinese-listening-resources-for-beginner-intermediate-and-advanced-learners/
An introduction to extensive reading for Chinese learners: https://www.hackingchinese.com/introduction-extensive-reading-chinese-learners/
7 mistakes I made when writing Chinese characters and what I learnt from them: https://www.hackingchinese.com/7-mistakes-i-made-when-writing-chinese-characters-and-what-i-learnt-from-them/
The forking path: A human approach to learning Chinese: https://www.hackingchinese.com/the-forking-path-a-human-approach-to-learning-chinese/
The time barrel: How to find more time to study Chinese: https://www.hackingchinese.com/the-time-barrel-you-have-more-time-than-you-think/
How long have you studied Chinese? https://www.hackingchinese.com/how-long-have-you-studied-chinese/
Listen to this and other episodes on your favourite podcasting platform, including Apple Podcasts, Breaker, Google Podcast, Overcast, Pocket Casts, RadioPublic, Spotify and YouTube: https://www.hackingchinese.com/podcast
More information and inspiration about learning and teaching Chinese can be found over at https://www.hackingchinese.com
Music: "Traxis 1 ~ F. Benjamin" by Traxis, 2020 - Licensed under Creative Commons Attribution (3.0)