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.
Lujie (Karen) Chen
Assistant Professor, University of Maryland Baltimore CountyDr. Lujie (Karen) Chen (PI) is an Assistant Professor from the Information System Department at the University of Maryland Baltimore County (UMBC). She has accumulated over ten years of experience as an academic data scientist, data science educator, and interdisciplinary educational researcher. She has a keen interest in studying the complexity of cognitive, metacognitive, and affective processes of human problem-solving in STEM (Science, Technology, Engineering, Mathematics) domains and is also interested in exploring strategies to nurture lifelong learning skills, particularly in this age of AI.