Multimodal Learning Analytics
date_range Débute le 15 octobre 2018
event_note Se termine le 27 janvier 2019
list 3 séquences
assignment Niveau : Avancé
chat_bubble_outline Langue : Anglais
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Les infos clés

credit_card Formation gratuite
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timer 15 heures de cours

En résumé

In this course, you will learn about multimodal learning analytics, a different way to do learning analytics. You will learn how to conduct learning analytics in face-to-face, hands-on, unbounded, and analog learning settings such as classrooms and labs. You will learn to capture, process, and fuse natural rich modalities of communication, such as speech, writing, and nonverbal interaction (e.g., movements, gestures, facial expressions, gaze, biometrics, etc.) during real learning activities.

Multimodal learning analytics enable you to understand and optimize learning in real-world environments that do not necessarily use computers during the learning process.

The course content is a gentle introduction to this new approach to learning analytics: its promises, its challenges, its tools and methodologies. To follow the same spirit of multimodal learning analytics, this course will include hands-on learning experiences analyzing different types of signals captured from real environments.

  • When it is appropriate to apply multimodal learning analytics
  • How to capture, process, and fuse verbal and nonverbal modes of communication
  • Signal interpretation frameworks (SSI) to work with synchronized data from different modalities
  • How to conduct a multimodal learning analytics study

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Les prérequis

We highly recommend that you take the previous course in this series before beginning this course:
Knowledge Inference and Structure Discovery for Education

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.

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Le programme

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.

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Les intervenants

Xavier Ochoa
Principal Professor
ESPOL

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Le concepteur

University of Texas at Arlington
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La plateforme

EdX est une plateforme d'apprentissage en ligne (dite FLOT ou MOOC). Elle héberge et met gratuitement à disposition des cours en ligne de niveau universitaire à travers le monde entier. Elle mène également des recherches sur l'apprentissage en ligne et la façon dont les utilisateurs utilisent celle-ci. Elle est à but non lucratif et la plateforme utilise un logiciel open source.

EdX a été fondée par le Massachusetts Institute of Technology et par l'université Harvard en mai 2012. En 2014, environ 50 écoles, associations et organisations internationales offrent ou projettent d'offrir des cours sur EdX. En juillet 2014, elle avait plus de 2,5 millions d'utilisateurs suivant plus de 200 cours en ligne.

Les deux universités américaines qui financent la plateforme ont investi 60 millions USD dans son développement. La plateforme France Université Numérique utilise la technologie openedX, supportée par Google.

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