Items

• A Time Series Interaction Analysis Method for Building Predictive Models of Learners Using Log Data

  Brooks, C., Thompson, C., & Teasley, S. (2015). A Time Series Interaction Analysis Method for Building Predictive Models of Learners Using Log Data. Proceedings of the Fifth International Conference on Learning Analytics And Knowledge, 126–135. https://doi.org/10.1145/2723576.2723581
  

• The Use and Effectiveness of Electronic Clinical Decision Support Tools in the Ambulatory/Primary Care Setting: A Systematic Review of the Literature

  Bryan, C., & Boren, S. A. (2008). The Use and Effectiveness of Electronic Clinical Decision Support Tools in the Ambulatory/Primary Care Setting: A Systematic Review of the Literature. Informatics in Primary Care, 16(2), 79–91. https://doi.org/10.14236/jhi.v16i2.679
  

• A Time for Emoting: When Affect-Sensitivity Is and Isn’t Effective at Promoting Deep Learning

  D’Mello, S., Lehman, B., Sullins, J., Daigle, R., Combs, R., Vogt, K., Perkins, L., & Graesser, A. (2010). A Time for Emoting: When Affect-Sensitivity Is and Isn’t Effective at Promoting Deep Learning. In V. Aleven, J. Kay, & J. Mostow (Eds.), Intelligent Tutoring Systems (pp. 245–254). Springer. https://doi.org/10.1007/978-3-642-13388-6_29
  

• Communities of Practice: Learning, Meaning, and Identity

  Wenger, E. (1999). Communities of Practice: Learning, Meaning, and Identity. Cambridge University Press.
  

• Conceptualizing Research–Practice Partnerships as Joint Work at Boundaries

  Penuel, W. R., Allen, A.-R., Coburn, C. E., & Farrell, C. C. (2015). Conceptualizing Research–Practice Partnerships as Joint Work at Boundaries. Journal of Education for Students Placed at Risk (JESPAR), 20(1–2), 182–197. https://doi.org/10.1080/10824669.2014.988334
  

• Sorting Things Out: Classification and Its Consequences

  Bowker, G. C., & Star, S. L. (2000). Sorting Things Out: Classification and Its Consequences. https://doi.org/10.7551/mitpress/6352.001.0001
  

• Practical Measurement

  Yeager, D., Bryk, A., Muhich, J., Hausman, H., & Morales, L. (2013). Practical Measurement. Carnegie Foundation for the Advancement of Teaching.
  

• The Three Faces of Performance Measurement: Improvement, Accountability, and Research

  Solberg, L. I., Mosser, G., & McDonald, S. (1997). The Three Faces of Performance Measurement: Improvement, Accountability, and Research. The Joint Commission Journal on Quality Improvement, 23(3), 135–147. https://doi.org/10.1016/S1070-3241(16)30305-4
  

• Measuring Equitable Science Instruction at Scale

  Krumm, A., Penuel, W. R., Pazera, C., & Landel, C. (2020). Measuring Equitable Science Instruction at Scale. The Interdisciplinarity of the Learning Sciences, 4, 2461–2468. https://repository.isls.org//handle/1/6607
  

• The Improvement Guide: A Practical Approach to Enhancing Organizational Performance

  Langley, G. J., Moen, R. D., Nolan, K. M., Nolan, T. W., Norman, C. L., & Provost, L. P. (2009). The Improvement Guide: A Practical Approach to Enhancing Organizational Performance. John Wiley & Sons.
  

• Creating Research-Practice Partnerships in Education

  Penuel, W. R., & Gallagher, D. J. (2017). Creating Research-Practice Partnerships in Education. Harvard Education Press. https://www.hepg.org/hep-home/books/creating-research-practice-partnerships-in-educati
  

• Learning to Improve: How America’s Schools Can Get Better at Getting Better

  Bryk, A. S., Gomez, L. M., Grunow, A., & LeMahieu, P. G. (2015). Learning to Improve: How America’s Schools Can Get Better at Getting Better. Harvard Education Press. https://www.hepg.org/hep-home/books/learning-to-improve
  

• Learning Analytics Goes to School: A Collaborative Approach to Improving Education

  Krumm, A., Means, B., & Bienkowski, M. (2018). Learning Analytics Goes to School: A Collaborative Approach to Improving Education (1st ed.). Routledge. https://www.routledge.com/Learning-Analytics-Goes-to-School-A-Collaborative-Approach-to-Improving/Krumm-Means-Bienkowski/p/book/9781138121836