Introduction to Multimodal Learning Analytics

Book chapter

Giannakos, M., Spikol, D., Di Mitri, D., Sharma, K., Ochoa, X. and Hammad, R. 2022. Introduction to Multimodal Learning Analytics. in: Giannakos, M., Spikol, D., Di Mitri, D., Sharma, K., Ochoa, X. and Hammad, R. (ed.) The Multimodal Learning Analytics Handbook Springer, Cham. pp. 3-28
AuthorsGiannakos, M., Spikol, D., Di Mitri, D., Sharma, K., Ochoa, X. and Hammad, R.
EditorsGiannakos, M., Spikol, D., Di Mitri, D., Sharma, K., Ochoa, X. and Hammad, R.
Abstract

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.

Book titleThe Multimodal Learning Analytics Handbook
Page range3-28
Year2022
PublisherSpringer, Cham
File
License
File Access Level
Repository staff only
Publication dates
Online09 Oct 2022
Publication process dates
Deposited14 Aug 2024
Edition1
ISBN9783031080760
9783031080753
Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-031-08076-0_1
Web address (URL)https://link.springer.com/book/10.1007/978-3-031-08076-0
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