Humanizing Data Science Curriculum

Authors

Di Wu, Lehman College, CUNYFollow

Abstract

This paper explores the concept of constructivism in the context of data science education, arguing that an experience-centered approach can lead to more engaging and meaningful learning experiences. Specific examples of how constructivism can be applied in the classroom, such as through reflective writing, meditation, and flexible assignments are provided. The importance of creating a supportive and inclusive learning environment and strategies for promoting collaboration and peer learning are discussed. The feedback from students and instructors is included. Overall, the paper emphasizes the need for educators to humanize the data science curriculum and prioritize the needs and interests of students. This paper aims to contribute to STEM education with the author's experience and reflections.

Recommended Citation

Wu, Di (2024) "Humanizing Data Science Curriculum," Early College Folio: Vol. 3: Iss. 1, Article 7.
Available at: https://digitalcommons.bard.edu/earlycollegefolio/vol3/iss1/7