Peer Learning in Virtual Schools

Sam Catherine Johnston, Diana Greer, Sean Joseph Smith

Abstract


This article is about peer-to-peer learning amongst students within K–12 virtual schools. This issue is examined through a case study of experiences of three students with disabilities enrolled in one virtual school and that of their parents, teachers, and school administrators. The article is framed around variability in learners’ aptitudes for peer-to-peer learning, in the design of the learning environment and what it affords for interpersonal interactions, and in the context where that learning design is implemented (and whether or not it promotes peer-to-peer learning). Each of these areas of variability impacted whether or not peer-to-peer learning occurred.

Keywords


K-12 virtual learning; peer-to-peer learning; special education

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References


References

Anderson, T. (2004). Toward a theory of online learning. In T. Anderson & F. Elloumi (Eds.), Theory and practice of online learning (pp. 33-60). Athabasca, Canada: Athabasca University.

Baird, D., & Fisher, M. (2006). Neomillennial user experience design strategies: Utilizing social networking media to support “always on” learning styles. Journal of Educational Technology Systems, 34(1), 5-32.

Bandura, A. (1977). Social learning theory. Englewood Cliffs, New Jersey: Prentice-Hall.

Bangert, A. (2008). The influence of social presence and teaching presence on quality of online critical inquiry. Journal of Computing in Higher Education, 20(1), 34-61.

Barkley, R. A. (1997). Behavioral inhibition, sustained attention, and executive function: Constructing a unified theory of ADHD. Psychological Bulletin, 121, (1), 65–94.

Bauminger, N., & Kasari, C. (2000). Loneliness and friendship in high-functioning children with autism. Child Development, 71(2), 447-456.

Bernieri, F. J. (1991). Interpersonal sensitivity in teaching interactions. Personality and Social Psychology Bulletin, 17(1), 98–103.

Bol, L., & Garner, J. K. (2011). Challenges in supporting self-regulation in distance education environments. Journal of Computing in Higher Education, 23(2-3), 104-123.

Boser, K., Goodwin, M., & Wayland (Eds.). (2014). Technology tools for students with autism: Innovations that enhance independence and learning. Baltimore: Maryland: Paul H Brookes Publishing.

Borup, J., Graham, C. R., & Davies, R. S. (2012). The nature of adolescent learner interaction in a virtual high school setting. Journal of Computer Assisted Learning, 29(2), 153-167.

Bray, B., & McClaskey, K. (2013). Personalized learning chart v2. Retrieved from Personalize Learning website: http://www.personalizelearning.com/2013/03/new-personalization-vs-differentiation.html

Buckingham Shum, S., & Ferguson, R. (2012). Social learning analytics. Educational Technology & Society, 15(3), 3–26.

Cavanaugh, C., Barbour, M., & Clark, T. (2009). Research and practice in K-12 online learning: A review of open access literature. International Review of Research in Open and Distance Learning, 10(1), 1-22.

Charmaz, K. (2006). Constructing grounded theory: A practical guide through qualitative analysis. London: Sage.

Christensen, C. M., Horn, M. B., & Johnson, C. W. (2008). Disrupting class: How disruptive innovation will change the way the world learns. New York, NY: McGraw-Hill.

Common Core State Standards Initiative. (2012). In the states. Retrieved from http://www.corestandards.org/in-the-states

Dabbagh, N., & Kitsantas, A. (2004). Supporting self-regulation in student-centered Web-based learning environments. International Journal on E-Learning, 3(1), 40–47.

Davis, J. (2006). The importance of the community of practice in identity development. The Internet Journal of Allied Health and Sciences and Practice, 4(3), 1-8.

Dikkers, A.G., Whiteside, A. L., & Lewis, S. (2013). Virtual high school teacher and student reactions to the social presence model. Journal of Interactive Online Learning, 12(3), 156-170.

Edge Research. (2013, October, 9). New K12 Inc. polls: Parents say online schools are safe haven for bullied students [Press Release K12 Inc.]. Retrieved from http://www.prweb.com/releases/2013BullyingPoll/10/prweb11187506.htm

Education Growth Advisors. (2013). Learning to adapt: A case for accelerating learning in higher education. Retrieved from CogBooks Adaptive Learning website: http://blog.cogbooks.com/2013/07/30/report-on-higher-educations-best-kept-secret/

Egan, T. M., & Akdere, M. (2005). Clarifying distance education roles and competencies: Exploring similarities and differences between professional and student-practitioner perspectives. The American Journal of Distance Education, 19(2), 99-100.

Fischman, J. (2011, May 8). The rise of teaching machines. The Chronicle of Higher Education. Retrieved from http://chronicle.com/article/The-Rise-of-Teaching-Machines/127389/

Ford, M. (1992). Summary of motivational systems theory. In Motivating humans: Goals, emotions, and personal agency beliefs. (pp. 244-258). Thousand Oaks, CA: SAGE Publications. doi: http://dx.doi.org/10.4135/9781483325361.n8

Fossati, P., Amar, G., Raoux, N., Ergis, A. M., & Allilaire, J. F. (1999). Executive functioning and verbal memory in young patients with unipolar depression and schizophrenia. Psychiatry Research, 89(3), 171-187.

Garner, J. K. (2009). Conceptualizing the relations between executive functions and self-regulated learning. Journal of Psychology, 143(4), 405–426.

Garrison, D. R., Anderson, T., & Archer, W. (2000). Critical inquiry in a text-based environment: Computer conferencing in higher education. The Internet and Higher Education, 2(2-3), 87-105.

Gehlbach, H. (2004). A new perspective on perspective taking: A multidimensional approach to conceptualizing an aptitude. Educational Psychology Review, 16(3), 207–234.

Gehlbach, H., Brown, S. W., Ioannou, A., Boyer, M. A., Hudson, N., Niv-Solomon, A., & Janik, L. (2008). Increasing interest in social studies: Stimulating simulations, self-efficacy, and social perspective taking. Contemporary Educational Psychology, 33(4), 894–914.

Gehlbach, H., & Brinkworth, M. E. (2012). The social perspective taking process: Strategies and sources of evidence in taking another’s perspective. Teachers College Record, 114(1), n1.

Gehlbach, H., Brinkworth, M., & Wang, M. (2012.) The social perspective taking process: What motivates individuals to take another’s perspective? Teachers College Record, 114(1), 197-225.

Glaser, B. G., & Strauss, A. L. (1967). The discovery of grounded theory: Strategies for qualitative research. Chicago, IL: Aldine Publishing Company.

Greene, J. A., & Azevedo, R. (2007). A theoretical review of Winne and Hadwin’s model of self-regulated learning: New perspectives and directions. Review of Educational Research, 77(3), 334-372.

Gunawardena, C. N., & Zittle, F. J. (1997). Social presence as a predictor of satisfaction within a computer mediated conferencing environment. American Journal of Distance Education, 11(3), 8-26.

Guralnick, M. J. (1997). Peer social networks of young boys with developmental delays. American Journal on Mental Retardation, 101(6), 595-612.

Guralnick, M. J. (1999). Family and child influences on the peer-related social-competence of young children with developmental delays. Mental Retardation and Developmental Disabilities, 5(1), 21-29.

Guralnick, M. J. (2006). Peer relationships and the mental health of young children with intellectual delays. Journal of Policy and Practice in Intellectual Disabilities, 3(1), 49-56.

Haavind, S. (2006). Tapping online dialogue for learning: A grounded theory approach to identifying key heuristics that promote collaborative dialogue among secondary online learners (Unpublished doctoral dissertation). Harvard University, Graduate School of Education, Cambridge, MA.

Halberstadt, A. G., & Hall, J. A. (1980). Who’s getting the message? Children’s nonverbal skill and their evaluation by teachers. Developmental Psychology, 16(6), 564–573.

Hawkins, A., Graham, B., Sudweeks, R. R., & Barbour, M. K. (2012). Academic performance, course completion rates, and student perception of the quality and frequency of interaction in a virtual high school. Distance Education, 34(1), 64–83.

Hennink, M. M. (2007). International focus group research: A handbook for the health and social sciences. New York, NY: Cambridge University Press.

Hildreth, P. M., & Kimble, C. (2002). The duality of knowledge. Information Research, 8(1), 1-40. Retrieved from http://informationr.net/ir/8-1/paper142.html

Holmberg, B. (2005). The evolution, principles and practices of distance education. Oldenburg, Germany: BIS-Verlag der Carl von Ossietzky Universität Oldenburg.

Jones, R. (2005, April). Attention structures and computer mediated communication among Hong Kong secondary school students. A paper presented at the Annual Meeting of the American Educational Research Association, Montreal, CA..

Juvonen, J. (2007). Reforming middle schools: Focus on continuity, social connectedness, and engagement. Educational Psychologist, 42(4), 197-208.

Kahana-Kalman, R., & Goldman, S. (2007). Intermodal matching of emotional expressions in young children with autism. Research in Autism Spectrum Disorder, 2(2), 301-310.

Katz, L. J. (1998). Transitioning into college for the student with ADHD. ADHD Challenge, 12, 3-4.

Kumin, L. (2012). Early communication skills for children with Down Syndrome: A guide for parents and professionals (3rd ed.). Bethesda, MD: Woodbine House.

Lave, J., & Wenger, E. (1991). Situated learning: Legitimate peripheral participation. New York, NY: Cambridge University Press.

Leffert, J. S., Siperstein, G. N., & Millikan, E. (2000). Understanding social adaptation in children with mental retardation: A social-cognitive perspective. Exceptional Children, 66(4), 530-545.

Martin, J. (2011). Cyber school: Online/virtual schools and special education. Austin, TX: Richards Lindsay & Martin, L.L.P. Retrieved from http://www.schools.utah.gov/sars/DOCS/calendar/11lawconference/4cschl.aspx

Maxwell, J. A. (1996). Qualitative research design: An interactive approach. Thousand Oaks, CA: Sage Publications.

McCloskey, G., Perkins, L., & Van Divner, B. (2009). Assessment and intervention for executive function difficulties. New York, NY: Taylor & Francis Group, LLC.

Meyer, A., & Rose, D. H. (2002). Teaching every student in the digital age: Universal design for learning. Alexandria, VA: Association for Supervisors of Curriculum Development.

Meyer, A., Rose, D. H., & Gordon, D. (2014). Universal design for learning: Theory and practice. Wakefield, MA: CAST Professional Publishing.

Mykota, D., & Duncan, R. (2007). Learner characteristics as predictors of online social presence. Canadian Journal of Education, 30(1) 157-170.

National Governors Association Center for Best Practices, Council of Chief State School Officers. (2010). Common core state standards. Retrieved from http://www.corestandards.org/about-the-standards/key-points-in-english-language-arts

National Research Council. (2012). A framework for K-12 science education: Practices, crosscutting concepts, and core ideas. Committee on a Conceptual Framework for New K-12 Science Education Standards. Board on Science Education, Division of Behavioral and Social Sciences and Education. Washington, DC: The National Academies Press.

Nickerson, R. S. (1999). How we know—and sometimes misjudge—what others know: Imputing one’s own knowledge to others. Psychological Bulletin, 125(6), 737–759.

Office of Superintendent of Public Instruction. (2013). [Redacted] State Report Card.

Parker, D. R., & Benedict, K. B. (2002). Assessment and intervention: Promoting successful transitions for college students with ADHD. Assessment for Effective Intervention, 27(3), 3-24.

Parker, D. R., & Boutelle, K. (2009). Executive function coaching for college students with learning disabilities and ADHD: A new approach for fostering self-determination. Learning Disabilities Research & Practice, 24(4), 204-215.

Patton, M. Q. (2002). Qualitative research and evaluation methods (3rd ed). Thousand Oaks, CA: Sage.

Pintrich, P. R. (1988). A process-oriented view of student motivation and cognition. New Directions for Institutional Research, 15(1), 65-79.

Pintrich, P. R. (1999). The role of motivation in promoting and sustaining self-regulated learning. International Journal of Educational Research, 31, 459-470.

Quinn, P., & McCormick, A. (1998). Re-thinking AD/HD: A guide to fostering success in students with AD/HD at the college level. Bethesda, MD: Advantage Books.

Reid, R., Trout, A. L., & Schartz, M. (2005). Self-regulation interventions for children with attention deficit/hyperactivity disorder. Exceptional Children, 71(4), 361-377.

Reiner, D. (2012, October 17). Moving beyond bullying: Healing and learning in virtual school [Web log post]. Retrieved from http://www.connectionsacademy.com/blog/posts/2012-10-17/Moving-Beyond-Bullying-Healing-and-Learning-in-Virtual-School.aspx

Rhim, L. & Kowal, J. (2008). Demystifying special education in virtual charter schools. Public impact. Alexandria, VA: National Association of State Directors of Special Education. Retrieved from http://www.edgateway.net/specialedprimers/download/special_report_rhim.doc

Riel, M., & Polin, L. (2004). Learning communities: Common ground and critical differences in designing technical environments. In S.A. Barab, R. Kling, & J. Gray, (Eds.), Designing virtual communities in the service of learning (pp. 16–53). New York, NY: Cambridge University Press.

Rifkind, L. J. (1992). Immediacy as a predictor of teacher effectiveness in the instructional television. Journal of Interactive Television, 1(1), 31-38.

Roblyer, M. D., Davis, L., Mills, S., Marshall, J., & Pape, L. (2008). Toward practical procedures for predicting and promoting success in virtual school students. The American Journal of Distance Education, 22(2), 90-109.

Rose, C. A., Monda-Amaya, L. E., & Espelage, D. L. (2011). Bullying perpetration and victimization in special education: A review of the literature. Remedial and Special Education, 32(2), 114–130.

Rourke, L., Anderson, T., Garrison, R. D., & Archer, W. (2001). Assessing social presence in asynchronous text based computer conferencing. Journal of Distance Education,4(21), 50-71.

Ryan, R., & Deci, E. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 55(1), 68-78.

Schunk, D. H., & Zimmerman, B. J. (1997). Social origins

of self-regulatory competence. Educational Psychologist, 32(4), 195-208.

Shmulsky, S., & Gobbo, K. (2013). Autism spectrum in the college classroom: Strategies for instructors. Community College Journal of Research and Practice, 37(6), 490-495.

Siperstein, G. N., & Leffert, J. S. (1997). Comparison of socially accepted and rejected children with mental retardation. American Journal on Mental Retardation, 101(4), 339-351.

Stoll, L., Bolam, R., Wallace, M., & Thomas, S. (2006). Professional learning communities: A review of literature. Journal of Educational Change 7(4), 221–58.

Strauss, A. L. & Corbin, J. M. (1998). Basics of qualitative research: techniques and procedures for developing grounded theory. London: Sage Publications.

Trepagnier, C. (1996). A possible origin for the social and communicative deficits of autism. Focus on Autism and Other Developmental Disabilities, 11(3), 170-196.

U.S. Department of Education, Office of Educational Technology, (2012). Understanding the Implications of Online Learning for Educational Productivity, Washington, D.C.

Verhofstadt, L. L., Buysse, A., Ickes, W., Davis, M., & Devoldre, I. (2008). Support provision in marriage: The role of emotional similarity and empathic accuracy. Emotion, 8(6), 792–802.

Watson, J. F., & Kalmon, S. (2005). Keeping pace with K–12 virtual learning: A review of state-level policy and practice. Retrieved from Learning Point Associates website: http://www.learningpt.org/pdfs/tech/Keeping_Pace2.pdf

Wenger, E. (1998). Communities of practice: Learning, meaning and identity. New York, NY: Cambridge University Press.

Wenger, E. (2010, July). Communities of practice: A few frequently asked questions. Presented at BETreat. Professional Development Course for Leaders and Conveners of Communities of Practice, Grass Valley, CA.

Wenger, E., McDermott, R., & Snyder, W. C. (2002). Cultivating communities of practice: A guide to managing knowledge. Cambridge, MA: Harvard Business School Press.

Wenger, E., White, N., & Smith, J. (2009). Digital habitats: Stewarding technology for communities. Portland, OR: CPsquare.

Williams, G. A., & Asher, S. R. (1992). Assessment of loneliness at school among children with mild mental retardation. American Journal on Mental Retardation. 96(4), 373-385.

Youngju, L., Jaeho, C., & Taehyun, K. (2013). Discriminating factors between completers of and dropouts from virtual learning courses. British Journal of Educational Technology, 44(2), 328-337.

Yin, R. K., 2008. Case study research: Design and methods (3rd ed.). Thousand Oaks, CA: Sage Publications Inc.

Ylvisaker, M., & DeBonis, D. (2000). Executive function impairment in adolescence: TBI and ADHD. Topics in Language Disorders, 20(2), 29-57.

Zimmerman, B. J., & Tsikalas, K. E. (2005). Can computer-based learning environments (CBLEs) be used as self-regulatory tools to enhance learning? Educational Psychologist, 40(4), 267-271. Retrieved from http://www.editlib.org/p/73427.




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