Natural language processing may provide a new perspective on effective teaching


Miscellaneous


Jing Liu, Julie Cohen
measurement, 2021 May

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APA   Click to copy
Liu, J., & Cohen, J. (2021, May). Natural language processing may provide a new perspective on effective teaching. measurement.


Chicago/Turabian   Click to copy
Liu, Jing, and Julie Cohen. “Natural Language Processing May Provide a New Perspective on Effective Teaching.” measurement, May 2021.


MLA   Click to copy
Liu, Jing, and Julie Cohen. Natural Language Processing May Provide a New Perspective on Effective Teaching. May 2021.


BibTeX   Click to copy

@misc{liu2021a,
  title = {Natural language processing may provide a new perspective on effective teaching},
  year = {2021},
  month = may,
  address = {measurement},
  author = {Liu, Jing and Cohen, Julie},
  howpublished = {},
  month_numeric = {5}
}

Abstract

Measuring “good teaching” in consistent and fair ways, however, is not easy. One reason is that teaching is not static. How a teacher teaches varies depending on the instructional content and the goal of a lesson. For example, we might want to see extended discussions among students in some lessons and more teacher-focused instruction when introducing new content. Student-teacher interactions also evolve over the course of a school year. Yet, most teachers are only observed one or two times a year. The dynamic nature of instruction makes it challenging to characterize one’s teaching from only a few lessons. Even if these observed lessons can capture one’s “typical” or “average” teaching, feedback based on such information might not be that useful, as what a teacher needs to support students in November may well be distinct from that same teacher’s need in May.

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