Abstract
Reigeluth et al. (Educ Technol 48(6):32–39, 2008) proposed major and secondary functions for educational technology systems for the learner-centered paradigm of education. However, the functions proposed should be formatively evaluated and revised using a variety of cases to develop a better understanding of how technology can support student learning in the new paradigm. Using the Minnesota New Country School as a case, this study aimed to improve the selection and description of functions that educational technology should serve in the information age. Multiple mixed methods were used to collect and analyze data from the advisors (a role similar to teachers) and students. The findings identified the functions of the school’s major educational technology system (Project Foundry) and revealed how the key stakeholders, including the advisors and students, used it and what suggestions they had for its improvement.
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Notes
Teachers at MNCS are called advisors because their roles are so different from the traditional concept of teacher.
For more thick descriptions of the results, refer to the doctoral dissertation of the first author (DELETED).
Note that Project Foundry is a project management tool, whereas the websites were resources to use to conduct a project.
References
Aslan, S. (2012). Investigating “the coolest school in America”: A study of a learner-centered school and educational technology in the information age. (Order No. 3550777, Indiana University). ProQuest Dissertations and Theses, 303. http://ezproxy.lib.indiana.edu/login?url=http://search.proquest.com/docview/1316886672?accountid=11620. (prod.academic_MSTAR_1316886672).
Chen, L. H. (2011). Enhancement of student learning performance using personalized diagnosis and remedial learning system. Computers & Education, 56(1), 289–299.
Dutta, P. (2013). Personalized Integrated Educational Systems (PIES) for the learner-centered information-Age paradigm of education: A study to improve the design of the functions and features of PIES. (Ph.D., Indiana University, Bloomington, IN).
Fraenkel, J. R., & Wallen, N. E. (2008). How to design and evaluate research in education (7th ed.). New York: McGraw-Hill.
Groves, R. M., Fowler, F. J., Couper, M. P., Lepkowski, J. M., & Singer, E. (2009). Survey methodology (2nd ed.). Hoboken: Wiley.
Hwang, G. J., Sung, H. Y., Hung, C. M., Huang, I., & Tsai, C. C. (2012). Development of a personalized educational computer game based on students’ learning styles. Educational Technology Research and Development, 60(4), 623–638.
Marshall, M. N. (1996). Sampling for qualitative research. Family Practice, 13(6), 522–526.
McCombs, B. L. (2013). The learner-centered model: From the vision to the future. In J. H. D. Cornelius-White, R. Motschnig-Pitrik, & M. Lux (Eds.), Interdisciplinary handbook of the person centered approach: Connections beyond psychotherapy. New York: Springer.
Merriam, S. B. (1991). Case study research in education: A qualitative approach. San Francisco: Jossey-Bass.
Minnesota New Country School. (2012). http://www.newcountryschool.com/.
Reigeluth, C. M. (1999). What is instructional-design theory and how is it changing? In C. M. Reigeluth (Ed.), Instructional-design theories and models: A new paradigm of instructional theory (Vol. II, pp. 5–29). Mahwah: Lawrence Erlbaum Associates.
Reigeluth, C. M., & An, Y. (2009). Theory building. In C. M. Reigeluth & A. A. Carr-Chellman (Eds.), Instructional-design theories and models: Building a common knowledge base (Vol. III, pp. 385–386). Oxford: RoutledgeFalmer.
Reigeluth, C. M., Aslan, S., Chen, Z., Dutta, P., Huh, Y., Jung, E., et al. (2015). Personalized integrated educational system technology functions for the learner-centered paradigm of education. Journal of Educational Computing Research, 53(3), 459–496.
Reigeluth, C. M., & Carr-Chellman, A. A. (2009). Understanding instructional theory. In C. M. Reigeluth & A. A. Carr-Chellman (Eds.), Instructional-design theories and models: Building a common knowledge base (Vol. III, pp. 3–26). New York: Routledge.
Reigeluth, C. M., & Frick, T. W. (1999). Formative research: A methodology for creating and improving design theories. In C. M. Reigeluth (Ed.), Instructional design theories and models: A new paradigm of instructional theory (Vol. 2, pp. 633–651). Mahwah: Lawrence Erlbaum.
Reigeluth, C. M., & Karnopp, J. R. (2013). Reinventing schools: It’s time to break the mold. Lanham: Rowman & Littlefield.
Reigeluth, C. M., Watson, W. R., & Watson, S. L. (2011). Personalized integrated educational systems: Technology for the information-age paradigm of education in higher education. In S. P. Ferris (Ed.), Teaching and learning with the net generation. IGI Global: Hershey, PA.
Reigeluth, C., Watson, S. L., Watson, W., Dutta, P., Chen, Z., & Powell, N. D. P. (2008). Roles for technology in the information-age paradigm of education: learning management systems. Educational Technology, 48(6), 32–39.
Simon, H. A. (1996). The sciences of the artificial (3rd ed.). Cambridge: MIT Press.
Software & Information Industry Association (2010). Innovate to educate: System [re]design for personalized learning: A report from the 2010 Symposium. In collaboration with ASCD and the Council of Chief State School Officers. Washington, DC. Author: Mary Ann Wolf.
Stewart, D. W., Shamdasani, P. N., & Rook, D. W. (2007). Focus groups: Theory and practice. CA: Sage.
Szafir, D., & Mutlu, B. (2012). Pay attention!: designing adaptive agents that monitor and improve user engagement. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 11–20). ACM.
Thomas, D., Enloe, W., & Newell, R. J. (2005). “ The coolest school in America”: How small learning communities are changing everything. Lanham: Scarecrow Education.
United States Department of Education, Office of Innovation and Improvement. (2006). Charter High Schools: Closing the Achievement Gap. http://www.ed.gov/admins/comm/choice/charterhs/report.pdf.
Watson, W. R., Lee, S. K., & Reigeluth, C. M. (2007). Learning management systems: An overview and roadmap of the systemic application of computers to education. In F. M. Neto & F. V. Brasileiro (Eds.), Advances in computer-supported learning (pp. 66–96). Hershey: Information Science Publishing.
Watson, W. R., & Watson, S. L. (2007). An argument for clarity: What are learning management systems, what are they not, and what should they become? TechTrends, 51(2), 28–34.
Watson, W. R., Watson, S. L., & Reigeluth, C. M. (2012). A systemic integration of technology for new-paradigm education. Educational Technology, 52(5), 25–29.
Watson, W. R., Watson, S. L., & Reigeluth, C. M. (2013). Education 3.0: Breaking the mold with technology. Interactive Learning. doi:10.1080/10494820.2013.764322.
Wiley, D. A. (2000). Connecting learning objects to instructional design theory: A definition, a metaphor, and a taxonomy. In D. A. Wiley (Ed.), The instructional use of learning objects (pp. 1–35). http://reusability.org/read/chapters/wiley.doc.
Yildirim, Z., Reigeluth, C. M., Kwon, S., Kageto, Y., & Shao, Z. (2013). A comparison of learning management systems in a school district: Searching for the ideal personalized integrated educational system (PIES). Interactive Learning Environments. doi:10.1080/10494820.2012.745423.
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Aslan, S., Reigeluth, C.M. Investigating “The Coolest School in America”: how technology is used in a learner-centered school. Education Tech Research Dev 64, 1107–1133 (2016). https://doi.org/10.1007/s11423-016-9450-9
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DOI: https://doi.org/10.1007/s11423-016-9450-9