Introduction to Multimodal Learning Analytics

Michail Giannakos, Daniel Spikol, Daniele Di Mitri, Kshitij Sharma, Xavier Ochoa, Rawad Hammad

Research output: Chapter in Book/Report/Conference proceedingChapter


This chapter provides an introduction and an overview of this edited book on Multimodal Learning Analytics (MMLA). The goal of this book is to introduce the reader to the field of MMLA and provide a comprehensive overview of contemporary MMLA research. The contributions come from diverse contexts to support different objectives and stakeholders (e.g., learning scientists, policymakers, technologists). In this first introductory chapter, we present the history of MMLA and the various ongoing challenges, giving a brief overview of the contributions of the book, and conclude by highlighting the potential emerging technologies and practices connected with MMLA.

Original languageEnglish (US)
Title of host publicationThe Multimodal Learning Analytics Handbook
PublisherSpringer International Publishing
Number of pages26
ISBN (Electronic)9783031080760
ISBN (Print)9783031080753
StatePublished - Jan 1 2022


  • AI in education
  • Learning analytics
  • Multimodal learning analytics
  • Sensor data

ASJC Scopus subject areas

  • General Social Sciences


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