Teaching Note—Data Science in the MSW Curriculum: Innovating Training in Statistics and Research Methods
Year: 2020
Type: article
Abstract: Recent and rapid technological advances have given rise to an explosive growth of data, along with low-cost solutions for accessing, collecting, managing, and analyzing data. Despite the advances in technology and the availability of data, social work organizations routinely encounter data-related problems that have an impact on their opportunities for making data-driven decisions. Although training in research methods and statistics is important for social work students, these courses often do not address the needs organizations face in collecting, managing, and using data for data-driven decision making. In this teaching note, we propose innovating the social work curriculum using a data science framework as a way to address the day-to-day challenges organizations face regarding data. We provide a description of data science, along with four examples of MSW student projects that were based on a data science framework.
Source: Journal of Social Work Education
Institutions: University of Michigan, Indiana University
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W3040894259