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Full-Text Articles in Science and Mathematics Education
Guest Editors' Introduction: Research On Equity And Sustained Participation In Engineering, Computing, And Technology, Tiffany Barnes, Jamie Payton, George K. Thiruvathukal, Kristy Elizabeth Boyer, Jeff Forbes
Guest Editors' Introduction: Research On Equity And Sustained Participation In Engineering, Computing, And Technology, Tiffany Barnes, Jamie Payton, George K. Thiruvathukal, Kristy Elizabeth Boyer, Jeff Forbes
George K. Thiruvathukal
The guest editors introduce best papers on broadening participation in computing from the RESPECT'15 conference. The five articles presented here are part one of a two-part series representing research on broadening participation in computing at all levels of education: from K-12 schools through graduate school, with a focus on diversity with regard to gender, race, and ethnicity.
The Need For Research In Broadening Participation, Tiffany Barnes, George K. Thiruvathukal
The Need For Research In Broadening Participation, Tiffany Barnes, George K. Thiruvathukal
George K. Thiruvathukal
Underrepresentation in computing is a global problem, marked by a disturbing lack of access to computing resources and education among people underrepresented by race, ethnicity, gender, income, disability, and sexual-orientation status. It is urgent that we address this divide between those with and without the knowledge to create computational artifacts or even basic functional literacy. Important alliances for broadening participation (BP) are catalyzing efforts to engage more people in computing, but they are not enough. We need solid research as well.
Ai Education: Open-Access Educational Resources On Ai, Todd W. Neller
Ai Education: Open-Access Educational Resources On Ai, Todd W. Neller
Computer Science Faculty Publications
Open-access AI educational resources are vital to the quality of the AI education we offer. Avoiding the reinvention of wheels is especially important to us because of the special challenges of AI Education. AI could be said to be “the really interesting miscellaneous pile of Computer Science”. While “artificial” is well-understood to encompass engineered artifacts, “intelligence” could be said to encompass any sufficiently difficult problem as would require an intelligent approach and yet does not fall neatly into established Computer Science subdisciplines. Thus AI consists of so many diverse topics that we would be hard-pressed to individually create quality learning …