TY - CHAP TI - Multimodal Learning Analytics AU - Ochoa, Xavier T2 - The Handbook of Learning Analytics A2 - Lang, Charles A2 - Siemens, George A2 - Wise, Alyssa Friend A2 - GaĊĦevic, Dragan AB - 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. CY - Alberta, Canada DA - 2017/// PY - 2017 ET - 1 SP - 129 EP - 141 PB - Society for Learning Analytics Research (SoLAR) SN - 978-0-9952408-0-3 UR - http://solaresearch.org/hla-17/hla17-chapter1 ER -