Ten simple rules for organizing a data science workshop

[...]Rule 10 focuses on the importance of continuously evaluating and learning from past workshops to inform future pedagogy. The breadth of knowledge required and cognitive biases of a single person could derail a workshop entirely. [...]the organization and planning of such workshops necessitate c...

Full description

Saved in:

Bibliographic Details
Published in:	PLoS computational biology Vol. 16; no. 10; p. e1008226
Main Authors:	Ponsero, Alise, Bartelme, Ryan, de Oliveira Almeida, Gustavo, Bigelow, Alex, Tuteja, Reetu, Ellingson, Holly, Swetnam, Tyson, Merchant, Nirav, Oxnam, Maliaca, Lyons, Eric
Format:	Journal Article
Language:	English
Published:	United States Public Library of Science 22-10-2020 Public Library of Science (PLoS)
Subjects:	Biology and Life Sciences Cognitive ability Collaboration Computer and Information Sciences Computer Literacy Conferences Data Science - education Data Science - organization & administration Education, Continuing - methods Education, Continuing - organization & administration Electronic data processing Engineering and Technology Group work in education Humans Laws, regulations and rules Learning Management Modules People and Places Research and Analysis Methods Science Social Sciences Study and teaching Teachers Team learning approach in education Training Workshops Workshops (Educational programs) United States United States > US Arizona
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!