2022-2023 Winner

Caselet

United States of America
Track:
Adult Learning
Award Level:
Catalyst Award

Project Description

In an era when AI tools such as chatGPT can craft codes following specific directions, aspiring data scientists or analysts need to develop robust higher-order reasoning and problem-solving capacity – skills less likely to be replaced by AI. Caselet, a bite-sized case study tool, facilitates self-paced online practice to expedite the development of Data Science Problem Solving (DSPS) skills for data science learners. Designed to bridge the gap between textbook data science knowledge and real-world problem-solving demands, Caselet practice is grounded in established learning science principles and augmented by intelligent coaching and learning engineering functions to ensure its effectiveness at a large scale.

Meet Our Team

Lujie (Karen) Chen

Assistant Professor, University of Maryland Baltimore County

Shimei Pan

Associate Professor, University of Maryland Baltimore County

Vandana Jeneja

Professor, University of Maryland Baltimore County

Dr. Patricia Ordóñez

Associate Professor in the Department of Information Systems at UMBC

The "Building an Adaptive and Competitive Workforce" track is accepting abstracts through Feb 26th. Learn more.