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Natural Language Processing and Language Understanding in Educational Research

An introduction to analysis of language data for educational researchers.
Natural Language Processing and Language Understanding in Educational Research
This course is archived
Future dates to be announced
Estimated 3 weeks
5–7 hours per week
Instructor-led on a course schedule
Optional upgrade available

About this course

Skip About this course

This course offers an overview of natural language processing (NLP) and natural language understanding (NLU) for educational practitioners, leaders, and researchers. This class introduces analysis of and analytical tools for research work with unstructured data such as student writing, responses to learner surveys, interview data, or transcripts from an educational setting.

Topics will include an overview of:

  • examples of unstructured data in educational settings;
  • research problems and questions that can be addressed with natural language data and tools;
  • tools and techniques for preparation and analysis of unstructured educational data.

Course participants will also complete short applied assignments with unstructured data.

At a glance

  • Institution: UTArlingtonX
  • Subject: Data Analysis & Statistics
  • Level: Advanced
  • Prerequisites:
    We highly recommend that you take the previous course in this series before beginning this course: Learning Analytics Fundamentals. 

    This course is intended for those who have a Bachelor’s degree and are interested in developing learning and data science skills for employment in education, corporate, nonprofit, and military training sectors.
  • Language: English
  • Video Transcript: English

What you'll learn

Skip What you'll learn
  • Key concepts of Natural Language Processing (NLP) and Natural Language Understanding (NLU)
  • How unstructured data can be analyzed in educational research settings;
  • Common tools and techniques to analyze unstructured data in learning analytics research.

Week 1: Common NLP Research Questions and Tools in Learning Analytics 

Week 2: Data Cleaning and Analysis Concepts in NLP

Week 3: Concepts and Emerging Tools for NLU

About the instructors

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