Course reference library
The following articles provide background information on the knowledge building framework, Sim or read them as necessary.
- Bereiter, C., & Scardamalia, M. (2010). Can Children Really Create Knowledge? Canadian Journal of Learning and Technology, 36(1), 15. 
- Hong, H., Scardamalia, M., & Zhang, J. (2010). Knowledge Society Network: Toward a dynamic, sustained network for building knowledge. Canadian Journal of Learning and Technology, 36(1). 
- Scardamalia, M. & Bereiter, C. (2006). Knowledge building: Theory, pedagogy, and technology. In K. Sawyer (Ed.), Cambridge Handbook of the Learning Sciences (pp. 97-118). New York: Cambridge University Press. 
- Scardamalia, M., & Bereiter, C. (2010). A Brief History of Knowledge Building. Canadian Journal of Learning and Technology, 36(1), 1-16. 
- Zhang, J., Scardamalia, M., Lamon, M., Messina, R., & Reeve, R. (2007). Socio-cognitive dynamics of knowledge building in the work of 9- and 10-year-olds. Educational Technology Research and Development, 55(2), 117–145. 
The following articles provide information on data literacy in education an in general. In some, the focus is on how teachers can use data available to them from assessments to improve their own practices. That is not a topic of this course, but the material in this course will aid you in understanding those articles.
- Coburn, C., & Turner, E. (n.d.). The Practice of Data Use: An Introduction. American Journal of Education, 118(2), 99–111. 
- Erwin, R. (2015). Data Literacy: Real-World Learning through Problem-Solving with Data Sets. American Secondary Education, 43(2), 18–26.
- Gould, R. (2017). Data Literacy is Statistical Literacy. Statistics Education Research Journal, 16(1), 22–25.
- Mandinach, E., & Gummer, E. (2013). A Systemic View of Implementing Data Literacy in Educator Preparation. Educational Researcher, 42(1), 30–37. 
- Martin, E.R.. (2014). What is Data Literacy? Journal of eScience Librarianship, 3(1), 1–2. 
- Reeves, T., & Honig, S. (2015). A classroom data literacy intervention for pre-service teachers. Teaching and Teacher Education, 50, 90–101. 
- Ridsdale, C., Rothwell, J., Smit, M., Ali-Hassan, H., Bliemel, M., Irvine, D., Kelley, D., Matwin, S., Wuetherick, B. (2014). Strategies and Best Practices for Data Literacy Education: Knowledge Synthesis Report. Halifax, NS: Dalhousie University 
Links to course modules
Module 1: Idea formation and abstraction
Module 2: Data organization
Module 3: Analysis Modeling & Simulation