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An introduction to text analytics for educators.

Jacqueline E McLaughlin1, Kayley Lyons2, Carly Lupton-Smith3

  • 1Division of Practice Advancement and Clinical Education, Center for Innovative Pharmacy Education and Research, UNC Eshelman School of Pharmacy, Chapel Hill, NC, United States.

Currents in Pharmacy Teaching & Learning
|October 24, 2022
PubMed
Summary
This summary is machine-generated.

Text analytics offers a systematic method for extracting insights from educational texts, enhancing efficiency and knowledge discovery. This guide provides practical recommendations for educators to effectively implement text analytics in their practice.

Keywords:
Machine learningSentiment analysisText analyticsText miningTopic modelling

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Area of Science:

  • Educational Technology
  • Data Science in Education

Background:

  • Educators manage large volumes of text-based materials like student reflections and feedback.
  • Analyzing these materials is time-consuming but offers critical insights.
  • Text analytics provides a systematic approach to overcome these challenges.

Purpose of the Study:

  • To describe text analytics and provide practical recommendations for its use in pharmacy education.
  • To enhance educators' ability to interpret and utilize text-based educational materials.

Main Methods:

  • Overview of text analytics, including its history, techniques, and phases.
  • Illustration of common text analytics techniques with examples.
  • Development of practical recommendations for implementation.

Main Results:

  • Text analytics offers a systematic approach to information generation from text.
  • Benefits include improved analysis efficiency and new knowledge elucidation.
  • Key recommendations cover clarifying purpose, grounding research questions, developing strategies, exploring tools, managing errors, validation, and collaboration.

Conclusions:

  • Text analytics systematically generates information from text-based materials, improving efficiency and knowledge discovery.
  • Pharmacy educators can leverage text analytics, but should be aware of its limitations.
  • Ongoing efforts aim to improve the usability and accessibility of text analytics tools.