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Full-Text Articles in Physical Sciences and Mathematics
Guest Editors' Introduction: Best Of Respect, Part 2, Tiffany Barnes, Jamie Payton, George K. Thiruvathukal, Jeff Forbes, Kristy Elizabeth Boyer
Guest Editors' Introduction: Best Of Respect, Part 2, Tiffany Barnes, Jamie Payton, George K. Thiruvathukal, Jeff Forbes, Kristy Elizabeth Boyer
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 two of a two-part series representing research on broadening participation in computing. These articles study participation in intersectional ways, through the perceptions and experiences of African-American middle school girls, the sense of belonging in computing for LGBTQ students, the impact of a STEM scholarship and community development program for low-income and first-generation college students, a leadership development program, and how African-American women individually take leadership to enable their success in computing.
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.
The Rock 2017, School Of Engineering And Computer Science
The Rock 2017, School Of Engineering And Computer Science
The Rock
No abstract provided.
Visualizing Sorting Algorithms, Brian Faria
Visualizing Sorting Algorithms, Brian Faria
Honors Projects
This paper discusses a study performed on animating sorting algorithms as a learning aid for classroom instruction. A web-based animation tool was created to visualize four common sorting algorithms: Selection Sort, Bubble Sort, Insertion Sort, and Merge Sort. The animation tool would represent data as a bar-graph and after selecting a data-ordering and algorithm, the user can run an automated animation or step through it at their own pace. Afterwards, a study was conducted with a voluntary student population at Rhode Island College who were in the process of learning algorithms in their Computer Science curriculum. The study consisted of …