An introduction to analysis of language data for educational researchers. 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.
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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.
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.
Syllabus
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
