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What is Topic Model

Handbook of Research on Acquiring 21st Century Literacy Skills Through Game-Based Learning
A type of statistical model in machine learning to uncover abstract themes in a collection of texts.
Published in Chapter:
Using Custom-Built, Small-Scale Educational Solutions to Teach Qualitative Research Literacy: No Code, Code, and Complex Applications
Geraldine Bengsch (Kings College London, UK)
DOI: 10.4018/978-1-7998-7271-9.ch046
Abstract
This chapter considers ways in which educators can create their own educational applications to integrate into their teaching. It is argued that interactive uses of technology can aid student engagement and encourage uptake of skills presented to them. Today, tools available allow everyone to create not only static websites, but also functional applications. It is possible to get started without knowing how to code, empowering anyone with an interest in technology to become a creator. While these no and low code solutions may come with some restrictions, they may encourage users to explore more traditional ways to engage with code and its possibilities for teaching. The chapter aims to encourage readers to look at technology as a creative practice to include into their teaching. It suggests strategies to help readers select the most appropriate tool for their projects.
Full Text Chapter Download: US $37.50 Add to Cart
More Results
Latent Dirichlet Allocation Approach for Analyzing Text Documents
A topic model is a formal statistical relationship between a group of observed and latent random variables. Typically, observed variables correspond to words occurring in a document and latent variables correspond to the topic structure.
Full Text Chapter Download: US $37.50 Add to Cart
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