LA Pathway A: Analyze Text through Computational Methods (Overview)
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In this project, the learner will read an introduction to analyzing text through computational methods. The prior introductory building blocks you explored set the groundwork for understanding the computational thinking practices of Algorithms, Patterns & Data and Abstraction. This set of activities will challenge educators to think about ways to integrate computational thinking practices into language arts instruction through mixed literary analysis.
Learning Objectives
By the end of this activity, learners will be able to...
- Make connections between the Computational Thinking practices and how they apply to analyzing texts through computational methods.
Vocabulary
- Abstraction: Isolating key details while ignoring the remaining elements
- Algorithm: a precise step-by-step set of instructions
- Close reading: careful reading and detailed analysis of a text (or groups of texts)
- Distance reading: uploading a text (or groups of text) into a computer program for analysis
- Literary devices: techniques, rules or structures used by writers to convey meaning to readers
- Textual data: quantitative (e.g., word counts, visuals, etc.) or qualitative information (e.g., quotations, excerpts, etc.) collected for analysis
- Mixed literary analysis: using data science methods to teach literature