Items

• Implementing Japanese Lesson Study in Foreign Countries: Misconceptions Revealed

  Fujii, T. (2014). Implementing Japanese Lesson Study in Foreign Countries: Misconceptions Revealed. Mathematics Teacher Education and Development, 16(1), Article 1.
  

• Misalignment and Perverse Incentives: Examining the Politics of District Leaders as Brokers in the Use of Research Evidence

• Likely to Stop? Predicting Stopout in Massive Open Online Courses

  Taylor, C., Veeramachaneni, K., & O’Reilly, U.-M. (2014). Likely to Stop? Predicting Stopout in Massive Open Online Courses (arXiv:1408.3382). arXiv. https://doi.org/10.48550/arXiv.1408.3382
  

• Comparing Lean and Quality Improvement

  Scoville, R., & Little, K. (2014). Comparing Lean and Quality Improvement [White Paper]. Institute for Healthcare Improvement (IHI). https://www.ihi.org:443/resources/Pages/IHIWhitePapers/ComparingLeanandQualityImprovement.aspx
  

• Educational Data Sciences: Framing Emergent Practices for Analytics of Learning, Organizations, and Systems

  Piety, P. J., Hickey, D. T., & Bishop, M. J. (2014). Educational data sciences: Framing emergent practices for analytics of learning, organizations, and systems. Proceedings of the Fourth International Conference on Learning Analytics And Knowledge, 193–202. https://doi.org/10.1145/2567574.2567582
  

• Extracting Information from Big Data: Issues of Measurement, Inference and Linkage

  Kreuter, F., & Peng, R. D. (2014). Extracting Information from Big Data: Issues of Measurement, Inference and Linkage. In H. Nissenbaum, J. Lane, S. Bender, & V. Stodden (Eds.), Privacy, Big Data, and the Public Good: Frameworks for Engagement (pp. 257–275). Cambridge University Press. https://doi.org/10.1017/CBO9781107590205.016
  

• Educational Data Mining and Learning Analytics

  Baker, R., & Siemens, G. (2014). Educational Data Mining and Learning Analytics. In R. K. Sawyer (Ed.), The Cambridge Handbook of the Learning Sciences (2nd ed., pp. 253–272). Cambridge University Press. https://doi.org/10.1017/CBO9781139519526.016
  

• Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics: An Issue Brief

  Bienkowski, M., Feng, M., & Means, B. (2014). Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics: An Issue Brief (p. 60). U.S. Department of Education.
  

• How Conversations Around Campfires Came to Be

  Dunbar, R. I. M. (2014). How Conversations Around Campfires Came to Be. Proceedings of the National Academy of Sciences, 111(39), 14013–14014. https://doi.org/10.1073/pnas.1416382111
  

• Data Mining with Big Data

  Wu, X., Zhu, X., Wu, G.-Q., & Ding, W. (2014). Data Mining with Big Data. IEEE Transactions on Knowledge and Data Engineering, 26(1), 97–107. https://doi.org/10.1109/TKDE.2013.109
  

• How and Why Educators Use Twitter: A Survey of the Field

  Carpenter, J. P., & Krutka, D. G. (2014). How and Why Educators Use Twitter: A Survey of the Field. Journal of Research on Technology in Education, 46(4), 414–434. https://doi.org/10.1080/15391523.2014.925701
  

• Selectivity of Big Data

  Buelens, B., Daas, P., Burger, J., Puts, M., & van den Brakel, J. (2014). Selectivity of Big Data. Statistics Netherlands.
  

• Outdoor Education and Science Achievement

  Rios, J. M., & Brewer, J. (2014). Outdoor Education and Science Achievement. Applied Environmental Education & Communication, 13(4), 234–240. https://doi.org/10.1080/1533015X.2015.975084
  

• Linked to Innovation: Shaping an Innovative Climate Through Network Intentionality and Educators’ Social Network Position

  Moolenaar, N. M., Daly, A. J., Cornelissen, F., Liou, Y.-H., Caillier, S., Riordan, R., Wilson, K., & Cohen, N. A. (2014). Linked to Innovation: Shaping an Innovative Climate Through Network Intentionality and Educators’ Social Network Position. Journal of Educational Change, 15(2), 99–123. https://doi.org/10.1007/s10833-014-9230-4
  

• Race, Ethnicity, and Visitation to National Parks in the United States: Tests of the Marginality, Discrimination, and Subculture Hypotheses with National-Level Survey Data

  

• Green Schoolyards as Havens from Stress and Resources for Resilience in Childhood and Adolescence

  Chawla, L., Keena, K., Pevec, I., & Stanley, E. (2014). Green Schoolyards as Havens from Stress and Resources for Resilience in Childhood and Adolescence. Health & Place, 28, 1–13. https://doi.org/10.1016/j.healthplace.2014.03.001
  

• The Role of the Knowledgeable Other in Lesson Study: Examining the Final Comments of Experienced Lesson Study Practitioners.

  Takahashi, A. (2014). The Role of the Knowledgeable Other in Lesson Study: Examining the Final Comments of Experienced Lesson Study Practitioners. Mathematics Teacher Education & Development, 16(1), 4–21. https://doi.org/10.3316/aeipt.205651
  

• Teaching Mathematics Through Problem Solving

  McDougal, T., & Takahashi, A. (2014). Teaching Mathematics Through Problem Solving. Independent Teacher, Fall. https://www.nais.org/magazine/independent-teacher/fall-2014/teaching-mathematics-through-problem-solving/
  

• Journey Mapping: A Brief Overview

  Howard, T. (2014). Journey Mapping: A Brief Overview. Communication Design Quarterly, 2(3), 10–13. https://doi.org/10.1145/2644448.2644451
  

• Culturally Responsive Teaching and The Brain: Promoting Authentic Engagement and Rigor Among Culturally and Linguistically Diverse Students

  Hammond, Z. (2014). Culturally Responsive Teaching and The Brain: Promoting Authentic Engagement and Rigor Among Culturally and Linguistically Diverse Students. Corwin Press.