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Chapter 8 - Bloom’s 2 Sigma Problem and Data-Driven Approaches for Improving Student Success

from Part II - Practices that Foster Student Success

Published online by Cambridge University Press:  21 December 2017

Robert S. Feldman
Affiliation:
University of Massachusetts, Amherst
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The First Year of College
Research, Theory, and Practice on Improving the Student Experience and Increasing Retention
, pp. 212 - 246
Publisher: Cambridge University Press
Print publication year: 2017

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References

Block, J. H., ed. 1971. Mastery learning: Theory and practice. New York: Holt, Rinehart & Winston.Google Scholar
Bloom, Benjamin S. Ed. 1974. Schools, society and mastery learning. New York: Holt, Rinehart & Winston.Google Scholar
Bloom, Benjamin S., Hastings, John Thomas, and Madaus, George F.. 1971. Handbook on formative and summative assessment of student learning. New York: McGraw Hill.Google Scholar
Bloom, Benjamin S. 1976. Human characteristics and school learning. New York, NY: McGraw-Hill.Google Scholar
Bloom, Benjamin S. 1984. The 2 sigma problem: The search for methods of group instruction as effective as one-to-one tutoring. Educational Researcher 13 (6). JSTOR: 416.CrossRefGoogle Scholar
Carroll, John B. 1963. A model of school learning. Teachers College Record, 64(8), 723733.Google Scholar
Chee, Beth Downing. 2014. Graduation rates earn SDSU national praise. San Diego State University. http://newscenter.sdsu.edu/sdsu_newscenter/news_story.aspx?sid=74682Google Scholar
Chi, Min, and VanLehn, Kurt. n.d. Meta-cognitive strategy instruction in intelligent tutoring systems: How, when, and why. Educational Technology & Society 13 (1). JSTOR: 2539.Google Scholar
Conrad, Clifton, Gasman, Marybeth, Lundberg, Todd, Thai-Huy, Nguyen, Commodore, Felecia, and Samayoa, Andrés Castro. 2013. Using educational data to increase learning, retention, and degree attainment at minority serving institutions (MSIs). A Research Report of Penn Graduate School of Education, GSE.Google Scholar
Essa, Alfred. 2016. A possible future for next generation adaptive learning systems. Smart Learning Environments 3 (1): 16.Google Scholar
Georgia State University. 2015. Complete College Georgia. 2015 Status Report. Downloadable at: http://enrollment.gsu.edu/files/2015/08/Georgia-State-University-CCG-Report-2015.pdfGoogle Scholar
Glymour, Clark N. 2010. Galileo in Pittsburgh. Cambridge, MA: Harvard University Press.CrossRefGoogle Scholar
Guskey, Thomas R., and Gates, Sally L.. 1986. Synthesis of research on the effects of mastery learning in elementary and secondary classrooms. Educational Leadership 43 (8): 7380.Google Scholar
Guskey, Thomas R. 2005. Formative classroom assessment and Benjamin S. Bloom: Theory, research, and implications. Paper presented at the Annual Meeting of the American Educational Research Association, Montreal, Canada, April 2005. Online Submission. ERIC. Downloadable at: files.eric.ed.gov/fulltext/ED490412.pdfGoogle Scholar
Kerrigan, Monica Reid, and Slater, Doug. 2010. Collaborating to create change: How El Paso Community College improved the readiness of its incoming students through achieving the dream. Culture of Evidence Series, Report No. 4. Community College Research Center, Columbia University. ERIC. Downloadable at: http://ccrc.tc.columbia.edu/publications/collaborating-to-create-change.htmlGoogle Scholar
Korn, Melissa. 2015. Big gap in college graduation rates for rich and poor, study finds. Wall Street Journal. http://www.wsj.com.Google Scholar
Kulik, C. L. C., Kulik, J. A., & Bangert-Drowns, R. L. 1990. Effectiveness of mastery learning programs: A meta-analysis. Review of Educational Research 60 (2): 265299.CrossRefGoogle Scholar
Morrison, Henry C. 1926. The practice of teaching in the secondary school. Chicago, IL: University of Chicago Press.Google Scholar
National Center for Education Statistics (NCES). 2016. Projections of Education Statistics to 2024. Downloadable at: https://nces.ed.gov/pubs2016/2016013.pdfGoogle Scholar
National Conference of State Legislatures (NCSL). 2015. Performance-based funding for higher education. http://www.ncsl.org/research/education/performance-funding.aspxGoogle Scholar
Pew Charitable Trusts. 2015. Federal and state funding of higher education: a changing landscape. http://www.pewtrusts.org/~/media/assets/2015/06/federal_state_funding_higher_education_final.pdfGoogle Scholar
Renick, T. 2011. Retention and graduation program for underrepresented students. Georgia State University. http://www2.ed.gov/documents/college-completion/retention-and-graduation-program-for-underrepresented-students.docGoogle Scholar
Rivera, Eric M., and Monzon, Reynaldo I.. 2013. Ensuring Latina/o college student success: A data-driven approach. Metropolitan Universities 24 (2): 7190.Google Scholar
Scott-Clayton, Judith, Crosta, Peter M., and Belfield, Clive R.. 2014. Improving the targeting of treatment evidence from college remediation. Educational Evaluation and Policy Analysis 36 (3): 371–93.Google Scholar
Smallwood, Richard. 1962. A decision structure for teaching machines. Cambridge, MA: MIT Press.Google Scholar
Tierney, William G., and Duncheon, Julia C.. 2015. The problem of college readiness. Albany, NY: SUNY Press.Google Scholar
Universitas 21. 2012. U21 Rankings of National Higher Education Systems 2012. Downloadable at: http://www.universitas21.com/news/details/61/u21-rankings-of-national-higher-education-systems-2012Google Scholar
Washburne, Carleton W. 1922. Educational measurements as a key to individualizing instruction and promotions. Journal of Educational Research, 5: 195206.Google Scholar
Zeide, Elana. 2016. 19 times data analysis empowered students and schools: Which students succeed and why? Future of Privacy Forum. Downloadable at: https://fpf.org/2016/03/22/19-times-data-analysis-empowered-student-and-schools/Google Scholar

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