Danielle Cummings
ABSTRACT
Today students largely turn to social media to express opinions about various topics impacting our society (e.g. world events, government, politics, culture, etc.). The expanse of user-generated information available online can be a powerful influence both on the individual and large collectives of people. In recent years disinformation and misinformation on social media have been used to spread hate and divisiveness and, in extreme cases, incite violence. Now, more than ever, it is important to empower minority youth to be good cybercitizens by converting them from passive consumers of unreliable information to knowledgeable contributors of credible data. In this paper, we demonstrate the value of using social injustice as a means of engaging minority youth in computing and data sciences. We have identified effective methods of teaching high school students applied data analysis techniques that provide insight into issues directly affecting them, their families, and their communities. We believe this approach can be used to not only strengthen the pipeline to continued education and careers in computing fields, but also provide an alternative medium for action in a contentious world.
- Stephanie Edgerly, Emily K. Vraga, Leticia Bode, Kjerstin Thorson, and Esther Thorson. 2017. New Media, New Relationship to Participation? A Closer Look at Youth News Repertoires and Political Participation. Journalism & Mass Communication Quarterly 95, 1 (2017), 192--212. DOI:http://dx.doi.org/10.1177/1077699017706928Google Scholar
Cross Ref
- P.W. Singer and Emerson T. Brooking. 2019. LikeWar: the weaponization of social media, Boston: Mariner Books, Houghton Mifflin HarcourtGoogle Scholar
- Morten Bay. 2018. Weaponizing the haters: The Last Jedi and the strategic politicization of pop culture through social media manipulation. First Monday (2018). DOI:http://dx.doi.org/10.5210/fm.v23i11.9388Google Scholar
- Miriam J. Metzger. 2007. Making sense of credibility on the Web: Models for evaluating online information and recommendations for future research. Journal of the American Society for Information Science and Technology 58, 13 (2007), 2078--2091. DOI:http://dx.doi.org/10.1002/asi.20672Google ScholarCross Ref
- Sam Wineburg and Sarah McGrew and Joel Breakstone and Teresa Ortega. 2016. Evaluating Information: The Cornerstone of Civic Online Reasoning. Stanford Digital Repository. Stanford Libraries (November 2016).Google Scholar
- Julie Coiro, Carla Coscarelli, Cheryl Maykel, and Elena Forzani. 2015. Investigating Criteria That Seventh Graders Use to Evaluate the Quality of Online Information. Journal of Adolescent and Adult Literature (2015).Google Scholar
- College Board. 2014. Change in AP® Exam Participation and Performance Over Time. THE 10TH ANNUAL AP REPORT TO THE NATION · SUBJECT SUPPLEMENT (2014).Google Scholar
- Kara Smith, Sanja Jagesic, Jeff Wyatt, and Maureen Ewing. 2018. AP® STEM Participation and Postsecondary STEM Outcomes: Focus on Underrepresented Minority, First-Generation, and Female Students. The College Board (2018), 2--28Google Scholar
- E.r. Peterson, C. Rubie-Davies, D. Osborne, and C. Sibley. 2016. Teachers explicit expectations and implicit prejudiced attitudes to educational achievement: Relations with student achievement and the ethnic achievement gap. Learning and Instruction 42 (2016), 123--140. DOI:http://dx.doi.org/10.1016/j.learninstruc.2016.01.010Google ScholarCross Ref
- Armando Ordonez. 2014. Including user devices and context into STEM education for minorities. 2014 IEEE Integrated STEM Education Conference (2014). DOI:http://dx.doi.org/10.1109/isecon.2014.6891040Google ScholarCross Ref
- James A. Banks. 2004. Teaching for Social Justice, Diversity, and Citizenship in a Global World. The Educational Forum 68, 4 (2004), 296--305. DOI:http://dx.doi.org/10.1080/00131720408984645Google ScholarCross Ref
- Yichun Xie and David Reider. 2013. Integration of Innovative Technologies for Enhancing Students? Motivation for Science Learning and Career. Journal of Science Education and Technology 23, 3 (2013), 370--380. DOI:http://dx.doi.org/10.1007/s10956-013--9469--1Google ScholarCross Ref
- Danielle Cummings, Loretta Cheeks, Rosario Robinson. Culturally-Centric Outreach and Engagement for Underserved Groups in STEM. In Proceedings of the 49th SIGCSE Technical Symposium on Computer Science Education, SIGCSE '18, pages 447--452, New York, NY, USA, 2018. ACM.Google Scholar
- Intelligence Summer Program for High School Girls. In Proceedings of the 47th ACM Technical Symposium on Computer Science Education, SIGCSE '16, pages 303--308, New York, NY, USA, 2016. ACM.Google Scholar
- Sarah Judd. All Means All: Bringing Project-based, Approachable AI Curriculum to More High School Students through AI4ALL Open Learning. In Proceedings of the 51st ACM Technical Symposium on Computer Science Education, SIGCSE ?20, page 1409, New York, NY, USA, 2020. ACMGoogle ScholarDigital Library
- Lauren Coffey. 2020. Tampa nonprofit works to bring AI to underprivileged students. (September 2020). Retrieved November 8, 2020 from https://www.bizjournals.com/tampabay/inno/stories/profiles/2020/09/23/tampa-nonprofit-works-to-bring-ai-to-students.html - (48)Google Scholar
- The ARTSI Alliance: Recruiting Underrepresented Students to Computer Science and Robotics to Improve SocietyGoogle Scholar
- Marie Vachovsky, Grace Wu, Sorathan Chaturapruek, Olga Russakovsky, Richard Sommer, and Li Fei-Fei. Towards More Gender Diversity in CS through an Artificial Intelligence Summer Program for High School Girls. In Proceedings of the 47th ACM Technical Symposium on Computer Science Education, SIGCSE '16, pages 303--308, New York, NY, USA, 2016. ACM.Google ScholarDigital Library
- Mesut Duran, Margret Höft, Dan B. Lawson, Brahim Medjahed, and Elsayed A. Orady. 2013. Urban High School Students? IT/STEM Learning: Findings from a Collaborative Inquiry- and Design-Based Afterschool Program. Journal of Science Education and Technology 23, 1 (2013), 116--137. DOI:http://dx.doi.org/10.1007/s10956-013--9457--5Google ScholarCross Ref
- Impact of an Engineering Mentorship Program on African-American Male High School Students Perceptions and Self-EfficacyGoogle Scholar
- Beyond STEM, How Can Women Engage Big Data, Analytics, Robotics and Artificial Intelligence? An Exploratory Analysis of Confidence and Educational Factors in the Emerging Technology Waves Influencing the Role of, and Impact Upon, WomenGoogle Scholar
- Jennifer D. Adams, Preeti Gupta, and Alix Cotumaccio. 2014. Long-Term Participants: A Museum Program Enhances Girls' STEM Interest, Motivation, and Persistence. Afterschool Matters (2014), 14--20.Google Scholar
- Franziska Marquart, Jakob Ohme, and Judith Möller. 2020. Following Politicians on Social Media: Effects for Political Information, Peer Communication, and Youth Engagement. Media and Communication 8, 2 (2020), 197--207. DOI:http://dx.doi.org/10.17645/mac.v8i2.2764Google ScholarCross Ref
- Ashley Lee. 2018. Invisible networked publics and hidden contention: Youth activism and social media tactics under repression. New Media & Society 20, 11 (2018), 4095--4115. DOI:http://dx.doi.org/10.1177/1461444818768063Google ScholarCross Ref
- #Ferguson: Yarimar Bonilla and Jonathan Rosa. 2015. #Ferguson: Digital protest, hashtag ethnography, and the racial politics of social media in the United States. American Ethnologist 42, 1 (2015), 4--17. DOI:http://dx.doi.org/10.1111/amet.12112Digital protest, hashtag ethnography, and the racial politics of social media in the United StatesGoogle ScholarCross Ref
- Melissa Brown, Rashawn Ray, Ed Summers, and Neil Fraistat. 2017. #SayHerName: a case study of intersectional social media activism. Ethnic and Racial Studies 40, 11 (2017), 1831--1846. DOI:http://dx.doi.org/10.1080/01419870.2017.1334934Google ScholarCross Ref
- Russell Rickford. 2015. Black Lives Matter: Toward a Modern Practice of Mass Struggle. New Labor Forum 25, 1 (2015), 34--42. DOI:http://dx.doi.org/10.1177/1095796015620171Google ScholarCross Ref
- Grace Baek and Taylor Mooney. 2020. LAPD not giving up on data-driven policing, even after scrapping controversial program. CBS News (February 2020).Google Scholar
- Mark P. Smith, Review of Selected Los Angeles Police Department Data-Driven Policing Strategies,12 March 2019, Inspector General, Police Commission to The Honorable Board of Police Commissioners, Intradepartmental Correspondence, BPC #19-0072.Google Scholar
- H. Roberts. 1997. Socioeconomic determinants of health: Children, inequalities, and health. Bmj 314, 7087 (1997), 1122--1122. DOI:http://dx.doi.org/10.1136/bmj.314.7087.1122Google ScholarCross Ref
- Chaney, C., Robertson, R.V. Racism and Police Brutality in America. J Afr Am St 17, 480--505 (2013). https://doi.org/10.1007/s12111-013--9246--5Google Scholar
- Dottolo, A.L., Stewart, A.J. ?Don?t Ever Forget Now, You?re a Black Man in America?: Intersections of Race, Class and Gender In Encounters with the Police. Sex Roles 59, 350--364 (2008). https://doi.org/10.1007/s11199-007--9387-xGoogle Scholar
- Armed and Dangerous? An Examination of Fatal Shootings of Unarmed Black People by Police, The Journal of Pan African Studies, vol.8, no.4, September 2015Google Scholar
- Ana Muniz. 2014. Maintaining Racial Boundaries: Criminalization, Neighborhood Context, and the Origins of Gang Injunctions. Social Problems 61, 2 (May 2014), 216--236. DOI:http://dx.doi.org/https://doi.org/10.1525/sp.2014.12095Google Scholar
- CIVIL RIGHTS DATA COLLECTION Data Snapshot: College and Career Readiness https://www2.ed.gov/about/offices/list/ocr/docs/crdc-college-and-career-readiness-snapshot.pdfGoogle Scholar
- Sarah Brayne, Alex Rosenblat, and Danah Boyd. 2015. Predictive Policing. DATA & CIVIL RIGHTS: A NEW ERA OF POLICING AND JUSTICE (October 2015).Google Scholar
- National Academies of Sciences, Engineering, and Medicine. 2018. Proactive Policing: Effects on Crime and Communities. Washington, DC: The National Academies Press. https://doi.org/10.17226/24928.Google Scholar
- P.Jeffrey Brantingham. 2018. The Logic of Data Bias and Its Impact on Place-Based Predictive Policing. OHIO STATE JOURNAL OF CRIMINAL LAW 15, 473 (2018).Google Scholar
- Blakeslee, Sarah . "Evaluating Information -- Applying the CRAAP Test". SEP 17 2010. University of California at Chico's Meriam Library. Resource Handout.Google Scholar
- Emma Pierson et al. 2020. A large-scale analysis of racial disparities in police stops across the United States. Nature Human Behaviour 4, 7 (2020), 736--745. DOI:http://dx.doi.org/10.1038/s41562-020-0858--1Google ScholarCross Ref
- Patrick Triest. 2020. Exploring United States Policing Data Using Python. (June 2020). Retrieved March 30, 2020 from https://blog.patricktriest.com/police-data-python/ - EXPLORING UNITED STATES POLICING DATA USING PYTHONGoogle Scholar
- Sharad Goel, Justin M. Rao, and Ravi Shroff. 2015. Precinct or Prejudice? Understanding Racial Disparities in New York Citys Stop-and-Frisk Policy. SSRN Electronic Journal (2015). DOI:http://dx.doi.org/10.2139/ssrn.2572718Google Scholar
- Paul R. Daugherty, James Wilson, and Runman Chowdhury. 2019. Using Artificial Intelligence to Promote Diversity. Cambridge 60, 2 (2019) Retrieved April 1, 2020 from https://sloanreview.mit.edu/article/using-artificial-intelligence-to-promote-diversity/Google Scholar
- Peggy Doerschuk, Jiangjiang Liu, and Judith Mann. 2009. Increasing Participation of Females and Underrepresented Minorities in Computing. Computer 42, 4 (2009), 110--113.Google ScholarDigital Library
Index Terms
- Combating Social Injustice and Misinformation to Engage Minority Youth in Computing Sciences
Recommendations
Toward More Gender Diversity in CS through an Artificial Intelligence Summer Program for High School Girls
SIGCSE '16: Proceedings of the 47th ACM Technical Symposium on Computing Science EducationThe field of computer science suffers from a lack of diversity. The Stanford Artificial Intelligence Laboratory's Outreach Summer (SAILORS), a two-week non-residential free summer program, recruits high school girls to computer science, specifically to ...
TEALS's Plans for Addressing Social Justice in Computer Science Education: Creating Inclusive CS Communities
SIGCSE '21: Proceedings of the 52nd ACM Technical Symposium on Computer Science EducationThe number of high schools offering computer science (CS) courses continues to increase. Unfortunately, we are still finding disparity of access and participation of Black and African American students. CS education should be inclusive to everyone to ...
How to Launch a STARS Computing Corps Cohort to Improve Retention and Broaden Participation in Computing (Abstract Only)
SIGCSE '16: Proceedings of the 47th ACM Technical Symposium on Computing Science EducationThe STARS Computing Corps is a national alliance with the mission to grow a diverse community of computing leaders. STARS serves as a framework for integrating civic engagement into college computing departments with the goals of broadening ...
Comments