5 research outputs found
Keeping Data Science Broad: Negotiating the Digital and Data Divide Among Higher Education Institutions
The goal of the âKeeping Data Science Broadâ series of webinars and workshops was to garner community input into pathways for keeping data science education broadly inclusive across sectors, institutions, and populations. Input was collected from data science programs across the nation, either traditional or alternative, and from a range of institution types including community colleges, minority-led and minority-serving institutions, liberal arts colleges, tribal colleges, universities, and industry partners. The series consisted of two webinars (August 2017 and September 2017) leading up to a workshop (November 2017) exploring the future of data science education and workforce at institutions of higher learning that are primarily teaching-focused. A third follow-up webinar was held after the workshop (January 2018) to report on outcomes and next steps. Program committee members were chosen to represent a broad spectrum of communities with a diversity of geography (West, Northeast, Midwest, and South), discipline (Computer Science, Math, Statistics, and Domains), as well as institution type (Historically Black Colleges and Universities (HBCUâs), Hispanic-Serving Institutions (HSIâs), other Minority-Serving Institutions (MSI\u27s), Community College\u27s (CCâs), 4-year colleges, Tribal Colleges, R1 Universities, Government and Industry Partners)
Keeping Data Science Broad: Negotiating the Digital and Data Divide Among Higher Education Institutions
The goal of the âKeeping Data Science Broadâ series of webinars and workshops was to garner community input into pathways for keeping data science education broadly inclusive across sectors, institutions, and populations. Input was collected from data science programs across the nation, either traditional or alternative, and from a range of institution types including community colleges, minority-led and minority-serving institutions, liberal arts colleges, tribal colleges, universities, and industry partners. The series consisted of two webinars (August 2017 and September 2017) leading up to a workshop (November 2017) exploring the future of data science education and workforce at institutions of higher learning that are primarily teaching-focused. A third follow-up webinar was held after the workshop (January 2018) to report on outcomes and next steps. Program committee members were chosen to represent a broad spectrum of communities with a diversity of geography (West, Northeast, Midwest, and South), discipline (Computer Science, Math, Statistics, and Domains), as well as institution type (Historically Black Colleges and Universities (HBCUâs), Hispanic-Serving Institutions (HSIâs), other Minority-Serving Institutions (MSI\u27s), Community College\u27s (CCâs), 4-year colleges, Tribal Colleges, R1 Universities, Government and Industry Partners)
A conceptual framework for integrating sixâsigma and strategic management methodologies to quantify decision making
A Multi-Semester Comparison of Student Performance between Multiple Traditional and Online Sections of Two Management Courses
This multi-semester (eight semesters), multi-course study compared student performance in undergraduate online and traditional sections of âOrganization and Management â with sample sizes of 380 and 213, respectively. Concurrent online and traditional sections of âStrategic Management â courses with sample sizes of 298 and 456, respectively, were also comparatively analyzed. Similar to previous researc