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Reports and Reflections

What Do We Teach When We Teach the Learning Sciences? A Document Analysis of 75 Graduate Programs

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REFERENCES

  • Anderson, J. R. (2013). The architecture of cognition. New York, NY: Psychology Press.
  • Atkinson, P., & Coffey, A. (2004). Analysing documentary realities. In D. Silverman (Ed.), Qualitative research: Theory, method and practice (2nd ed., pp. 56–75). London, UK: Sage Publications Ltd.
  • Barab, S., MaKinster, J., & Scheckler, R. (2003). Designing system dualities: Characterizing a web-supported professional development community. The Information Society, 19(3), 237–256. doi:10.1080/01972240309466
  • Barab, S., & Squire, K. (2004). Design-based research: Putting a stake in the ground. Journal of the Learning Sciences, 13(1), 1–14. doi:10.1207/s15327809jls1301_1
  • Barrat, A., Barthélemy, M., Pastor-Satorras, R., & Vespignani, A. (2004). The architecture of complex weighted networks. Proceedings of the National Academy of Sciences of the United States of America, 101(11), 3747–3752. doi:10.1073/pnas.0400087101
  • Borgatti, S. P., Everett, M. G., & Johnson, J. C. (2013). Analyzing social networks. New York, NY: Sage Publications Ltd.
  • Bowen, G. A. (2009). Document analysis as a qualitative research method. Qualitative Research Journal, 9(2), 27–40. doi:10.3316/QRJ0902027
  • Card, N. A. (2015). Applied meta-analysis for social science research. New York, NY: Guilford Publications.
  • Colella, V. (2000). Participatory simulations: Building collaborative understanding through immersive dynamic modeling. Journal of the Learning Sciences, 9(4), 471–500. doi:10.1207/S15327809JLS0904_4
  • Collins, A., Brown, J. S., & Newman, S. E. (1988). Cognitive apprenticeship: Teaching the craft of reading, writing and mathematics. Thinking: the Journal of Philosophy for Children, 8(1), 2–10.
  • Collins, A., Joseph, D., & Bielaczyc, K. (2004). Design research: Theoretical and methodological issues. Journal of the Learning Sciences, 13(1), 15–42. doi:10.1207/s15327809jls1301_2
  • Cooper, H., Hedges, L. V., & Valentine, J. C. (2009). The handbook of research synthesis and meta-analysis. New York, NY: Russell Sage Foundation.
  • Csardi, G., & Nepusz, T. (2006). The igraph software package for complex network research. InterJournal, Complex Systems, 1695(5), 1–9.
  • De Jong, T., Lazonder, A., Pedaste, M., & Zacharia, Z. (in press). Simulations, games, and modeling tools for learning. In F. Fischer, C. E. Hmelo-Silver, S. Goldman, & P. Reimann (Eds.), International handbook of the learning sciences. New York, NY: Routledge.
  • The Design-Based Research Collective. (2003). Design-based research: An emerging paradigm for educational inquiry. Educational Researcher, 32(1), 5–8. doi:10.3102/0013189X032001005
  • Dillenbourg, P. (1999). What do you mean by collaborative learning? Collaborative-Learning: Cognitive and Computational Approaches, 1, 1–15.
  • Dillenbourg, P., Järvelä, S., & Fischer, F. (2009). The evolution of research on computer-supported collaborative learning. In N. Balacheff, S. Ludvigsen, T. De Jong, A. Lazonder, & S. Barnes (Eds.), Technology-enhanced learning (pp. 3–19). Dordrecht, Netherlands: Springer Netherlands.
  • Evans, M. A., Packer, M. J., & Sawyer, R. K. (2016). Reflections on the Learning Sciences. Cambridge, UK: Cambridge University Press.
  • Fleiss, J. L. (1971). Measuring nominal scale agreement among many raters. Psychological Bulletin, 76(5), 378–382. doi:10.1037/h0031619
  • Fleiss, J. L., & Cohen, J. (1973). The equivalence of weighted kappa and the intraclass correlation coefficient as measures of reliability. Educational and Psychological Measurement, 33(3), 613–619. doi:10.1177/001316447303300309
  • Greeno, J. G., & Engeström, Y. (2014). Learning in activitiy. In R. K. Sawyer (Ed.), The Cambridge handbook of the learning sciences (2nd ed., pp. 128–147). Cambridge, UK: Cambridge University Press.
  • Herrenkohl, L. R., & Cornelius, L. (2013). Investigating elementary students’ scientific and historical argumentation. Journal of the Learning Sciences, 22(3), 413–461. doi:10.1080/10508406.2013.799475
  • Hmelo-Silver, C. E. (2004). Problem-based learning: What and how do students learn? Educational Psychology Review, 16(3), 235–266. doi:10.1023/B:EDPR.0000034022.16470.f3
  • Hoadley, C. (in press). A short history of the learning sciences. In F. Fischer, C. E. Hmelo-Silver, S. Goldman, & P. Reimann (Eds.), International handbook of the learning sciences. New York, NY: Routledge.
  • Hoadley, C., & Van Haneghan, J. (2011). The learning sciences: Where they came from and what it means for instructional designers. In R. A. Reiser, & J. V. Dempsey (Eds.), Trends and issues in instructional design and technology (Vol. 3, pp. 53–63). New York, NY: Pearson.
  • ICLS. (2014). Keyword list for the international conference of the learning sciences [Unpublished list].
  • ISLS. (2009). The international society of the learning sciences. Retrieved from https://www.isls.org/images/documents/ISLS_Vision_2009.pdf
  • Janssen, J., & Bodemer, D. (2013). Coordinated computer-supported collaborative learning: Awareness and awareness tools. Educational Psychologist, 48(1), 40–55. doi:10.1080/00461520.2012.749153
  • Justesen, S. (2004). Innoversity in communities of practice. In P. Hildreth, & C. Kimble (Eds.), Knowledge networks: Innovation through communities of practice (pp. 79–95). Hershey, PA: IGI Global.
  • Kimmerle, J., Moskaliuk, J., Oeberst, A., & Cress, U. (2015). Learning and collective knowledge construction with social media: A process-oriented perspective. Educational Psychologist, 50(2), 120–137. doi:10.1080/00461520.2015.1036273
  • Koedinger, K. R., D’Mello, S., McLaughlin, E. A., Pardos, Z. A., & Rosé, C. P. (2015). Data mining and education. Wiley Interdisciplinary Reviews: Cognitive Science, 6(4), 333–353. doi:10.1002/wcs.1350
  • Kollar, I., Ufer, S., Reichersdorfer, E., Vogel, F., Fischer, F., & Reiss, K. (2014). Effects of collaboration scripts and heuristic worked examples on the acquisition of mathematical argumentation skills of teacher students with different levels of prior achievement. Learning and Instruction, 32, 22–36. doi:10.1016/j.learninstruc.2014.01.003
  • Kolodner, J. L. (1991). The journal of the learning sciences: Effecting changes in education. Journal of the Learning Sciences, 1(1), 1–6. doi:10.1207/s15327809jls0101_1
  • Kolodner, J. L. (2009). Note from the outgoing editor-in-chief. Journal of the Learning Sciences, 18(1), 1–3. doi:10.1080/10508400802663920
  • Krajcik, J., Blumenfeld, P. C., Marx, R. W., Bass, K. M., Fredricks, J., & Soloway, E. (1998). Inquiry in project-based science classrooms: Initial attempts by middle school students. Journal of the Learning Sciences, 7(3/4), 313–350. doi:10.1080/10508406.1998.9672057
  • Lave, J., & Wenger, E. (1991). Situated learning: Legitimate peripheral participation. Cambridge, UK: Cambridge University Press.
  • Lewandowsky, S., & Farrell, S. (2010). Computational modeling in cognition: Principles and practice. Los Angeles, CA: Sage Publications Ltd.
  • Mayring, P. (2001). Combination and integration of qualitative and quantitative analysis. Forum Qualitative Sozialforschung/Forum: Qualitative Social Research, 2(1), 6. doi:10.17169/fqs-2.1.967
  • Mayring, P. (2014). Qualitative content analysis: Theoretical foundation, basic procedures and software solution Retrieved from http://nbn-resolving.de/urn:nbn:de:0168-ssoar-395173
  • Nathan, M. J., Rummel, N., & Hay, K. E. (2016). Growing the learning sciences: Brand or big tent? Implications for graduate education. In M. A. Evans, M. J. Packer, & R. K. Sawyer (Eds.), Reflections on the learning sciences (pp. 191–209). Cambridge, UK: Cambridge University Press.
  • Nathan, M. J., & Sawyer, R. K. (2014). Foundations of the learning sciences. In R. K. Sawyer (Ed.), The Cambridge handbook of the learning sciences (2nd ed., pp. 21–43). Cambridge, UK: Cambridge University Press.
  • Newman, M. E. (2006). Finding community structure in networks using the eigenvectors of matrices. Physical Review E, 74(3). doi:10.1103/PhysRevE.74.036104
  • Packer, M. J., & Maddox, C. (2016). Mapping the territory of the learning sciences. In M. A. Evans, M. J. Packer, & R. K. Sawyer (Eds.), Reflections on the learning sciences (pp. 126–154). Cambridge, UK: Cambridge University Press.
  • Pea, R. D. (2004). The social and technological dimensions of scaffolding and related theoretical concepts for learning, education, and human activity. Journal of the Learning Sciences, 13(3), 423–451. doi:10.1207/s15327809jls1303_6
  • Pea, R. D. (2016). The prehistory of the learning sciences. In M. A. Evans, M. J. Packer, & R. K. Sawyer (Eds.), Reflections on the learning sciences (pp. 32–58). Cambridge, UK: Cambridge University Press.
  • Reiser, B. J. (2004). Scaffolding complex learning: The mechanisms of structuring and problematizing student work. Journal of the Learning Sciences, 13(3), 273–304. doi:10.1207/s15327809jls1303_2
  • Sawyer, R. K. (2006). The Cambridge handbook of the learning sciences. Cambridge, UK: Cambridge University Press.
  • Sawyer, R. K. (2014a). The new science of learning. In R. K. Sawyer (Ed.), The Cambridge handbook of the learning sciences (2nd ed., pp. 1–18). Cambridge, UK: Cambridge University Press.
  • Sawyer, R. K. (Ed.). (2014b). The Cambridge handbook of the learning sciences (2nd ed.). Cambridge, UK: Cambridge University Press.
  • Scardamalia, M., & Bereiter, C. (2014). Knowledge building and knowledge creation: Theory, pedagogy, and technology. In R. K. Sawyer (Ed.), The Cambrige handbook of the learning sciences (2nd ed., pp. 397–417). Cambridge, UK: Cambridge University Press.
  • Schank, R. C. (2016). Why learning sciences? In M. A. Evans, M. J. Packer, & R. K. Sawyer (Eds.), Reflections on the learning sciences (pp. 19–31). Cambridge, UK: Cambridge University Press.
  • Seel, N. M. (2012). History of the sciences of learning. In N. M. Seel (Ed.), Encyclopedia of the sciences of learning (pp. 1433–1442). New York, NY: Springer.
  • Shaffer, D. W. (2004). Pedagogical praxis: The professions as models for postindustrial education. Teachers College Record, 106(7), 1401–1421. doi:10.1111/tcre.2004.106.issue-7
  • Shaffer, D. W., Hatfield, D., Svarovsky, G. N., Nash, P., Nulty, A., Bagley, E., … Mislevy, R. (2009). Epistemic network analysis: A prototype for 21st-century assessment of learning. The International Journal of Learning and Media, 1(2), 33–53. doi:10.1162/ijlm.2009.0013
  • Siemens, G., & Baker, R. (2012, April). Learning analytics and educational data mining: Towards communication and collaboration. Paper presented at the 2nd International Conference on Learning Analytics and Knowledge, Vancouver, BC.
  • Stahl, G. (2010). Group cognition as a foundation for the new science of learning. In M. S. Khine, & I. M. Saleh (Eds.), New science of learning (pp. 23–44). New York, NY: Springer.
  • Stake, R. E. (1995). The art of case study research. Thousand Oaks, CA: Sage Publications Ltd.
  • Stokes, D. E. (2011). Pasteur’s quadrant: Basic science and technological innovation. Washington, DC: Brookings Institution Press.
  • Tabak, I., & Radinsky, J. (2015). Paving new pathways to supporting disciplinary learning. Journal of the Learning Sciences, 24(4), 501–503. doi:10.1080/10508406.2015.1091704
  • Wenger, E. (1998). Communities of practice: Learning, meaning, and identity. Cambridge, UK: Cambridge University Press.
  • Wenger, E., McDermott, R. A., & Snyder, W. (2002). Cultivating communities of practice: A guide to managing knowledge. Boston, MA: Harvard Business School Press.
  • Wise, A. F., & Shaffer, D. W. (2015). Why theory matters more than ever in the age of big data. Journal of Learning Analytics, 2(2), 5–13. doi:10.18608/jla.2015.22.2
  • Yin, R. K. (1994). Discovering the future of the case study method in evaluation research. Evaluation Practice, 15(3), 283–290. doi:10.1016/0886-1633(94)90023-X
  • Yoon, S. A., & Hmelo-Silver, C. E. (2017). What do learning scientists do? A survey of the ISLS membership. Journal of the Learning Sciences, 26(2), 167–183. doi:10.1080/10508406.2017.1279546