What Everyone should know about Teaching and Learning

By Yanina Bellini Saibene in Keynote English Community Education

November 24, 2025

Abstract

In this talk, we will review practical, evidence-based strategies for organizing and designing your lessons and materials, explaining concepts at the level of your students (beginners, proficient, and experts), using relevant examples, checking for understanding (formative assessment versus summative assessment), and connecting with students (the power of feedback, motivation, active learning vs. passive learning) so that you can be more effective the next time you find yourself in a teaching position.

Date

November 24 – 26, 2025

Time

12:00 AM

Location

online

Event

Environmental and meteorological science professionals, data scientists, programmers, and statisticians are constantly learning new and rapidly evolving technologies. They often find themselves in a teaching role as well, whether as mentors, creating tutorials, writing blog posts and documentation, giving talks, or even teaching more formally at universities or boot camps, without being formally prepared for that role. In this talk, we will review practical, evidence-based strategies for organizing and designing your lessons and materials, explaining concepts at the level of your students (beginners, proficient, and experts), using relevant examples, checking for understanding (formative assessment versus summative assessment), and connecting with students (the power of feedback, motivation, active learning vs. passive learning) so that you can be more effective the next time you find yourself in a teaching position. I will illustrate all the strategies and tools with examples of use that I use in the classroom and that are backed by scientific studies.

Resources

Posted on:
November 24, 2025
Length:
1 minute read, 180 words
Categories:
Keynote English Community Education
Tags:
R-Ladies rOpenSci The Carpentries Community
See Also:
El rol del software de investigación a lo largo del ciclo de vida investigativo
We R Together. How to learn, use and improve a programming language as a community.
Learning from Each Other's Journeys: Case Studies from Open Initiatives