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Practical Measures of Learning Behaviors

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Published:14 March 2015Publication History

ABSTRACT

This paper argues that improving learning reliably and at scale requires a specific orientation toward measurement, understood broadly. Drawing on examples from a partnership between SRI International and The Carnegie Foundation for the Advancement of Teaching, this paper describes measures of student behaviors that are being used by researchers and instructors to improve learning environments at more than 50 community colleges and four-year universities for thousands of students.

References

  1. Krumm, A. E., Waddington, R. J., Teasley, S. D., & Lonn, S. (2014). Using learning analytics to support academic advising in undergraduate engineering education. In J. A. Larusson & B. White (Eds.). Learning Analytics: From Research to Practice (pp. 103--119). New York: Springer.Google ScholarGoogle Scholar
  2. Schwartz, D. L., & Arena, D. (2013). Measuring what matters most: Choice-based assessments for the digital age. Cambridge MA: MIT Press.Google ScholarGoogle ScholarCross RefCross Ref
  3. Silva, E. & White, T. (2013). Pathways to improvement: Using psychological strategies to help college students master developmental math. Carnegie Foundation for the Advancement of Teaching. Stanford, CA.Google ScholarGoogle Scholar
  4. Yeager, D., Bryk, A., Muhich, J., Hausman H., & Morales, L. (2013) Practical measurement. Carnegie Foundation for the Advancement of Teaching. Stanford, CA. http://www.carnegiefoundation.org/resources/ publications/practical-measurement/.Google ScholarGoogle Scholar

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  1. Practical Measures of Learning Behaviors

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    • Published in

      cover image ACM Conferences
      L@S '15: Proceedings of the Second (2015) ACM Conference on Learning @ Scale
      March 2015
      438 pages
      ISBN:9781450334112
      DOI:10.1145/2724660

      Copyright © 2015 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 14 March 2015

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      • Work in Progress

      Acceptance Rates

      L@S '15 Paper Acceptance Rate23of90submissions,26%Overall Acceptance Rate117of440submissions,27%

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