There’s no escaping it – studying for any of the medical sciences is long and tough. And then the education continues throughout the career! So, any tips and tools for aiding the learning process – or making it more fun and engaging – are always welcomed.
As we all have different learning styles, it makes sense to develop options for the learning experience. At The Pathologist, we love to hear about innovative approaches to teaching. Here are some of our favourites. Be inspired!
10. Dedication to Education
Zdenko Kovač, from the University of Zagreb School of Medicine, spoke to us about his approach to teaching, textbooks, and summer schools.
9. How to Teach (Pathology) So Students Will Learn
Shivayogi Bhusnurmath and Bharti Bhusnurmath share their tried-and-tested teaching methods that have helped hundreds of medical students to exam success.
8. Education for the Gamer Generation
Judy Gnarpe introduces BrainSpan, a game-based teaching tool for students of the medical sciences.
7. Pathology Meets Industry
Tengfei Wang presents the case for including translational science placements in all pathology residencies.
6. Pathodoodles: Adding Color to the World of Pathology
Deeksha Shikri uses her self-illustrated social media channels to help students learn about disease.
5. Catch Pathologists, Young
Albert Alhatem tells us about his pathology children’s book and discusses the importance of early education.
4. Kindling a Passion for Pathology
“Pathology needs to be included in medical school curricula – or even well before medical school – because, without it, the core of healthcare is missing from education,” says E. Blair Holladay.
3. Nephrology in Your Pocket
How two educators with “a limited understanding of technology” designed an app to help medical students learn about nephrology.
2. “I Learned It from TikTok”
Two TikTok content creators discuss the appeal of their video-based educational pathology posts.
1. Twenty-First-Century Residents
Where does macroscopy education stand in the modern era of information overload, molecular entity classification, and computational practice?
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