@incollection{ochoa_multimodal_2017,
	address = {Alberta, Canada},
	edition = {1},
	title = {Multimodal {Learning} {Analytics}},
	isbn = {978-0-9952408-0-3},
	url = {http://solaresearch.org/hla-17/hla17-chapter1},
	abstract = {This chapter presents a different way to approach learning analytics (LA) praxis through the capture, fusion, and analysis of complementary sources of learning traces to obtain a more robust and less uncertain understanding of the learning process. The sources or modalities in multimodal learning analytics (MLA) include the traditional log- le data captured by online systems, but also learning artifacts and more natural human signals such as gestures, gaze, speech, or writing. The current state-of-the-art of MLA is discussed and classi ed according to its modalities and the learning settings where it is usually applied. This chapter concludes with a discussion of emerging issues for practitioners in multimodal techniques.},
	booktitle = {The {Handbook} of {Learning} {Analytics}},
	publisher = {Society for Learning Analytics Research (SoLAR)},
	author = {Ochoa, Xavier},
	editor = {Lang, Charles and Siemens, George and Wise, Alyssa Friend and Gaševic, Dragan},
	year = {2017},
	pages = {129--141}
}