Evaluation and Approval Constructs For K-12 Online and Blended Courses and Providers PROCEEDING
Michael Barbour, Sacred Heart University, United States ; Tom Clark, Clark Consulting, United States
Society for Information Technology & Teacher Education International Conference, in Savannah, GA, United States ISBN 978-1-939797-13-1 Publisher: Association for the Advancement of Computing in Education (AACE), Chesapeake, VA
Public Act 60 (2013) of the Michigan Legislature tasked Michigan Virtual University, through its Michigan Virtual Learning Research Institute, to “research, develop, and recommend annually to the department criteria by which cyber schools and online course providers should be monitored and evaluated to ensure a quality education for their pupils.” This study provides an overview of existing models of cyber and online evaluation, both of which serve to inform the forthcoming recommendations. In this study, the authors review existing literature related to the evaluation of cyber schools, online, and blended providers, and identify ?ve constructs for course and provider evaluation and approval.
Barbour, M. & Clark, T. (2016). Evaluation and Approval Constructs For K-12 Online and Blended Courses and Providers. In G. Chamblee & L. Langub (Eds.), Proceedings of Society for Information Technology & Teacher Education International Conference (pp. 816-824). Savannah, GA, United States: Association for the Advancement of Computing in Education (AACE). Retrieved October 21, 2018 from https://www.learntechlib.org/primary/p/172323/.
© 2016 Association for the Advancement of Computing in Education (AACE)
- Barbour, M.K. (2013). The landscape of K-12 online learning: Examining what is known. In M.G. Moore (Eds.), Handbook of distance education (3rd ed.) (pp. 574-593). New York: Routledge.
- Barbour, M.K., Brown, R., Hasler Waters, L., Hoey, R., Hunt, J., Kennedy, K., Ounsworth, C., Powell, A., & Trimm, T. (2011). Online and blended learning: A survey of policy and practice from K-12 schools around the world. Vienna, VA: International Association for K-12 Online Learning. Retrieved from http://www.inacol.org/cms/wpcontent/uploads/2012/11/iNACOL_IntnlReport2011.pdf
- Bathon, J. (2011). Model legislation related to online learning opportunities for students in public elementary and secondary education schools. Boulder, CO: National Education Policy Center. Retrieved from http://nepc.colorado.edu/publication/online-k-12-schooling Bowen, G.A. (2009) Document analysis as a qualitative research method. Qualitative Research Journal, 9(2), 27-40.
- Cavanaugh, C. (2001). The effectiveness of interactive distance education technologies in K-12 learning: A meta-analysis. International Journal of Educational Telecommunications, 7(1), 73-88.
- Cavanaugh, C., Barbour, M. & Clark, T. (2009). Research and practice in K-12 online learning: A review of open access literature. The International Review of Research in Open and Distance Learning. 10(1).
- Cavanaugh, C., Gillan, K.J., Kromrey, J., Hess, M., & Blomeyer, R. (2004). The effects of distance education on K–12 student outcomes: A meta-analysis. Naperville, IL: Learning Point Associates. Retrieved from http://faculty.education.ufl.edu/cathycavanaugh/docs/EffectsDLonK12Students1.pdf
- Center for Research on Education Outcomes. (2011). Charter school performance in Pennsylvania. Stanford, CA: Author.
- Clark, T., & Barbour, M.K. (2015). Online, blended and distance education in schools. Sterling, VA: Stylus Publishers.
- Colorado Department of Education. (2006). Report of the State Auditor: Online education. Denver, CO: Author.
- Fontana, A., & Frey, J.H. (2000). The interview: From structured questions to negotiated text. In N.K. Denzin & Y.S. Lincoln (Eds.), Handbook of qualitative research (2nd ed., pp. 435-454). Thousand
- Hubbard, B., & Mitchell, N. (2011). Online K-12 schools failing students but keeping tax dollars. I-News Network. Retrieved from http://tinyurl.com/inewsnetwork Joint Legislative Audit Committee. (2010). An evaluation: Virtual charter schools. Madison, WI: Legislative Audit Bureau.
- Marshall, C., & Rossman, G.B. (1999). Designing qualitative research(3rd ed.). Thousand Oaks, CA: Sage Publications.
- Means, B., Toyama, Y., Murphy, R.F., & Bakia, M. (2013). The effectiveness of online and blended learning: A meta-analysis of the empirical literature. Teachers College Record, 115(3), 1-47.
- Means, B., Toyama, Y., Murphy, R., Bakia, M., & Jones, K. (2010). Evaluation of evidence-based practices in online learning: A meta-analysis and review of online learning studies. Washington, DC: U.S. Department of Education. Retrieved from http://www2.ed.gov/rschstat/eval/tech/evidence-based-practices/finalreport.doc Michigan Public Act§ No. 227 (2011).
- Miron, G., & Urschel, J. (2012). Understanding and improving full-time virtual schools. Denver, CO: National Education Policy Center. Office of the Legislative Auditor. (2011). K-12 online learning. St. Paul, MN: Author.
- Pape, L., Wicks, M., Brown, C., & Dickson, W.P. (2008). Evaluation in Online Learning. In J. Watson, B. Gemin, & J. Ryan (Eds.), Keeping pace with K-12 online learning: A review of state-level policy and practice (pp. 26-28). Evergreen Consulting Associates.
- Patrick, S., & Sturgis, C. (2011). Cracking the code: Synchronizing policy and practice for performancebased learning. Vienna, VA: International Association for K-12 Online Learning. Retrieved from http://www.inacol.org/cms/wp-content/uploads/2012/09/iNACOL_CrackingCode_full_report.pdf Patton, M.Q. (2002). Qualitative research and evaluation methods (3 ed.). Thousand Oaks, CA: Sage Publications.
- Ryman, A., & Kossan, P. (2011). The race to online: Arizona experiments with virtual K-12 schools. Will they work for your child? Arizona Republic. Retrieved from http://www.azcentral.com/news/education/online-school/ Saul, S. (2011, December 12). Profits and questions at online charter schools.New York Times. Retrieved from http://tinyurl.com/nytimes-K12OL
- Stalker, H., & Horn, M.B. (2012). Classifying K–12 blended learning. Mountain View, CA: Innosight Institute, Inc. Retrieved from http://www.innosightinstitute.org/innosight/wpcontent/uploads/2012/05/Classifying-K-12-blended-learning2.pdf
- Watson, J., Murin, A., Vashaw, L., Gemin, B., & Rapp, C. (2012). Keeping pace with K-12 online learning: An annual review of state-level policy and practice. Evergreen, CO: Evergreen Education Group. Retrieved from http://kpk12.com/ Yin, R.K. (2003). Case study research: Design and methods (3rd ed.). Thousand Oaks, CA: Sage Publications.
- Zimmer, R., Gill, B., Booker, K., Lavertu, S., Sass, T.R., & Witte, J. (2009). Charter schools in eight states effects on achievement, attainment, integration, and competition. Santa Monica, CA: RAND Corporation.
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