Adrienne Decker
Monica M. McGill
Jason Ravitz
Eric Snow
ABSTRACT
With the growth of computing education research in the last decade, we have found a call for a strengthening of empiricism within the computing education research community. Computer science education researchers are being asked to focus not only the innovation that the research creates or the question it answers, but also on validating the claims we made about the work. In this session, we will explore the relationship between evaluation and computing education research and why it is so vital to the success of the many computing education initiatives underway. It will also help computing faculty engaged in computer science education research understand why it is essential to integrate evaluation and validation from the very first conceptual stages of their intervention programs.
- American Educational Research Association (AERA), American Psychological Association (APA), and National Council on Measurement in Education (NCME). 2014. Standards for educational and psychological testing. Retrieved August 31, 2017 from http://www.apa.org/science/programs/testing/standards.aspxGoogle Scholar
- M. Bienkowski, E. Snow, D.W. Rutstein, & S. Grover. 2015. Assessment design patterns for computational thinking practices in secondary computer science: A first look (SRI technical report). Retrieved August 31, 2017 from http://pact.sri.com/resources.htmlGoogle Scholar
- A. Decker & M.M. McGill. 2017. Pre-College Computing Outreach Research: Towards Improving the Practice. In Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education (SIGCSE '17). ACM, New York, NY, USA, 153--158. Google ScholarDigital Library
- A. Decker, M.M. McGill, & A. Settle. 2016. Towards a Common Framework for Evaluating Computing Outreach Activities. In Proceedings of the 47th ACM Technical Symposium on Computing Science Education (SIGCSE '16). ACM, New York, NY, USA, 627--632. Google ScholarDigital Library
- D. Fetterman & J. Ravitz. 2017 in press. "A Google-Enhanced Empowerment Evaluation Approach." In Fetterman, D., Rodríguez-Campos, L., & Zukoski, A. (Eds.). Collaborative, Participatory, and Empowerment Evaluation: Stakeholder Involvement Approaches to Evaluation. New York, NY: Guilford Press. 105--117.Google Scholar
- Google Inc. & Gallup Inc. 2016. Diversity Gaps in Computer Science: Exploring the Underrepresentation of Girls, Blacks and Hispanics. Retrieved from August 31, 2017 http://goo.gl/PG34aHGoogle Scholar
- Erin C. Henrick, Paul Cobb, Kara Jackson, William R. Penuel, and Tiffany Clark. (2017). Assessing Research-Practice Partnerships: Five Dimensions of Effectiveness. New York, NY: William T. Grant Foundation. Retrieved November 20, 2017 from http://wtgrantfoundation.org/library/uploads/2017/10/Assessing-Research-Practice-Partnerships.pdfGoogle Scholar
- R.J. Mislevy and G.D. Haertel. 2006. Implications of Evidence-Centered Design for Educational Testing. Educational Measurement: Issues and Practice 25, 4: 6--20.Google ScholarCross Ref
- National Girls Collaborative Project. 2017. CS Outreach Program Evaluation Network (CS OPEN). Retrieved August 25, 2017 from https://ngcproject.org/cs-outreach-program-evaluation-network-cs-openGoogle Scholar
- J. Ravitz. 2002. Demystifying data about technology impacts in schools. Paper presented in National Educational Computing Conference. San Antonio, TX. Retrieved August 25, 2017 from http://academia.edu/1854297Google Scholar
- S.L. Smith et al. 2017, in press. Cracking the Code: The prevalence and nature of computer science depictions in media. Los Angeles, CA: USC Annenberg Media, Diversity & Social Change Initiative.Google Scholar
- E. Snow, C. Tate, D. Rutstein, M. Bienkowski. 2017. Assessment design patterns for computational thinking practices in Exploring Computer Science (SRI technical report). Menlo Park, CA: SRI International. Retrieved August 31, 2017 from http://pact.sri.com/resources.htmlGoogle Scholar
- STEM Evaluation Repository. Online resource. Retrieved 11/17/17. http://comm.eval.org/stemeducationandtraining/stem-tig-repository/viewrepositoryGoogle Scholar
- A. Yadav, D. Burkhart, D. Moix, E. Snow, P. Bandaru, and L. Clayborn. 2015. Sowing the Seeds: A Landscape Study on Assessment in Secondary Computer Science Education. Comp. Sci. Teachers Assn., NY, NY. Retrieved January 18, 2016 from http://csta.acm.org/Research/sub/Projects/ResearchFiles/AssessmentStudy2015.pdfGoogle Scholar
Index Terms
- Connecting Evaluation and Computing Education Research: Why is it so Important?
Recommendations
Evaluation and Assessment Needs of Computing Education in Primary Grades
ITiCSE '20: Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science EducationUntil recently, computer science (CS) has been predominantly taught at upper-secondary or tertiary levels. Lately, however, CS curricula have been introduced into school systems from the very first year of school. In this paper, we undertake a ...
K-12 Computing Education and Education Research Resources
SIGCSE 2022: Proceedings of the 53rd ACM Technical Symposium on Computer Science Education V. 2In this special session, we present tools and resources created from educational theory to make teaching and scholarship easier and more effective. Included in these resources are CS Teachers Association, CSforAll, CS Teaching Tips, CT Pathways Toolkit, ...
Computer Science Education in North-Rhine Westphalia, Germany—A Case Study
Special Issue II on Computer Science Education in K-12 SchoolsIn North-Rhine Westphalia, the most populated state in Germany, Computer Science (CS) has been taught in secondary schools since the early 1970s. This article provides an overview of the past and current situation of CS education in North-Rhine ...
Comments