Useful online resources
Interesting podcasts that I subscribe to
FreshEd: https://freshedpodcast.com/listen/ - a very informative series of cutting-edge research and world-leading experts on different education issues
The Wonke Show: https://wonkhe.com/podcast/ - a contemporary, updated series on higher education news and debates in the UK and sometimes worldwide
Pedagodzilla: https://www.pedagodzilla.com/ - a super fun, engaging combination of pop culture core and learning design theories by two learning designers from UK universities
Changing Academic Life: http://www.changingacademiclife.com/start advice for academic writers
Interesting Youtuber channels that I subscribe to
Mike Mena: The Social Life of Language https://www.youtube.com/channel/UC7H1rLtG-2UOOVk_sD6uBUA : simplify complex theories in language, sociology and social sciences in lay terms
Dr Xu Gazing at Academia https://www.youtube.com/user/The20110421 : Chinese-speaking videos on tips for doing research, writing publications, and working in academia
Research with Dr Kriukow https://www.youtube.com/c/QualitativeResearcher useful resources and tips on how to conduct qualitative research from beginning to completion
Centre for Global Higher Education https://www.youtube.com/channel/UCb6kGjBM0qngDoJnJecMicw a series of research video by Centre for Global Higher Education
UK Data Service https://www.youtube.com/results?search_query=uk+data+service a series of data skills trainings offered by UK Data Service, particularly useful for novice researchers and postgraduate students
字 espresso https://www.youtube.com/channel/UCy7-PCuimUlGZr82oFKjs0Q an educational channel on Chinese learning, understanding culture knowledge through Chinese characters, tips from successful Chinese learners and everyday videos on headline news in Chinese
Useful online courses that I completed
Methods and Statistics in Social Science Specialisation https://www.coursera.org/specializations/social-science a comprehensive training BootCamp that helped me to critically analyse research, consolidate R skills, recognise sloppy science and perform valid, reliable data analysis using both quantitative and qualitative methods. Highly recommended
Interesting blogs on PhD and academia
https://researchwhisperer.org/
R resources
https://www.econometrics-with-r.org/8-3-interactions-between-independent-variables.html