Open AccessDatawhys Phase 1: Problem Solving to Facilitate Data Science & STEM Learning Among Summer Interns
Author(s) -
L. E. Payne,
Andrew A. Tawfik,
Andrew Olney
Publication year - 2021
Publication title -
international journal of designs for learning
Language(s) - English
Resource type - Journals
ISSN - 2159-449X
DOI - 10.14434/ijdl.v12i3.31555
Subject(s) - internship , mathematics education , problem based learning , memphis , collaborative learning , computer science , medical education , cooperative learning , covid-19 , face (sociological concept) , psychology , science learning , science education , teaching method , medicine , sociology , social science , botany , disease , pathology , infectious disease (medical specialty) , biology
This design case details a data science summer learning experience designed by University of Memphis faculty for HBCU students (NSF #: 1918751) with recruiting assistance provided by LeMoyne-Owen College. The summer learning experience included elements of didactic and collaborative problem-solving during the first five weeks of the internship, followed by a three-week, team-based, problem-solving project using real-world data. While the course was originally designed as a face-to-face learning experience, the impact of COVID-19 necessitated a shift toward online digital spaces. The design case details the opportunities and challenges of STEM online learning and especially underscores the limitations of (a) existing data science technologies for instruction, (b) the shift toward instructional design of materials that supported more self-directed learning, and (c) collaborative problem-solving. Implications for design and practice are also considered.