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Educational Data Science: Essentials, Approaches, and Tendencies

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Cover of 'Educational Data Science: Essentials, Approaches, and Tendencies'

Table of Contents

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    Book Overview
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    Chapter 1 Engaging in Student-Centered Educational Data Science Through Learning Engineering
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    Chapter 3 Educational Data Science: An “Umbrella Term” or an Emergent Domain?
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    Chapter 4 Educational Data Science Approach for an End-to-End Quality Assurance Process for Building Creditworthy Online Courses
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    Chapter 5 Understanding the Effect of Cohesion in Academic Writing Clarity Using Education Data Science
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    Chapter 6 Sequential Pattern Mining in Educational Data: The Application Context, Potential, Strengths, and Limitations
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    Chapter 7 Sync Ratio and Cluster Heat Map for Visualizing Student Engagement
Attention for Chapter 6: Sequential Pattern Mining in Educational Data: The Application Context, Potential, Strengths, and Limitations
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