Use our learning materials to hold a crowdsourcing workshop at your institution! It can be a one-time event or you can include it in your course on Machine Learning, Crowdsourcing, Research Methods, or any other.
Here’s a suggested plan for an introductory workshop about crowdsourcing and its basic principles. It consists of a theoretical part, which covers the main aspects of the crowdsourcing approach, and a practical task where students follow a step-by-step guide and launch a real crowdsourcing project.
Here’s a suggested plan for an introductory workshop about crowdsourcing and its basic principles. It consists of a theoretical part, which covers the main aspects of the crowdsourcing approach, and a practical task where students follow a step-by-step guide and launch a real crowdsourcing project.
Give students a basic understanding of the principles and applications of crowdsourcing.
Students are able to:
Lecture | Data for ML | 10 mins |
Introduction to the crowdsourcing approach | 10 mins | |
Instructions & interfaces | 15 mins | |
Practice | Setting up a project in Toloka – step 1 of the guide | 30 mins |
Lecture | Quality control | 10 mins |
Practice | Creating a task pool on Toloka – steps 2-5 of the guide | 30 mins |
Lecture | Result aggregation | 10 mins |
Case study | 10 mins | |
Practice | Getting results step 6 of the guide | 10 mins |
Reflection | Discussing the perspectives and applications of the crowdsourcing approach | 10 mins |
Assessment | Quiz | |
Assessment | Checking results (contact us for details) |