Multimodal Learning Analytics

Multimodal Learning Analytics

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Course
en
English
15 h
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  • 3 Sequences
  • Advanced Level
  • Starts on October 14, 2018
  • Ends on April 13, 2019

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Course details

Syllabus

Week 1: Why MMLA?
This week we will cover the basics of multimodal learning analytics: why, when and how to apply it. We will cover basic concepts such as data capture, synchronization and fusion.

Week 2: Tools of the trade
Multimodal leads to "Multi-tool." We will review the main hardware and software solutions to capture and analyze the main modes related to learning: audio, video, writing and biosignals.

Week 3: Bringing it all together
The last week we will conduct a real multimodal learning analytics study, applying the skills acquired in the previous weeks.

Prerequisite

We highly recommend that you take the previous course in this series before beginning this course:


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 sectors. Experience with programming and statistics will be beneficial to participants.

Instructors

Xavier Ochoa
Principal Professor
ESPOL

Editor

University of Texas at Arlington

Platform

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