%0 Book Section %1 MMLAHLSD %A Vujovic, Milica %A Hernández-Leo, Davinia %A Martinez-Maldonado, Roberto %A Cukurova, Mutlu %A Spikol, Daniel %D submitted %K analytics design learning levinst multimodal spaces %T Multimodal Learning Analytics and the Design of Learning Spaces %X Research on learning spaces and their impact on teaching and learning have been a field of inquiry for decades. Yet, technology advances regarding data capture and analysis tools have led to a significant evolution in the field, opening new opportunities and challenges. This chapter features the role of multimodal learning analytics in learning space research. In particular, the chapter presents an overview of the evolution of analytical studies about learning spaces with a focus on the development of Multimodal Learning Analysis (MMLA) over time. The chapter also offers three detailed examples from current research that illustrate how different MMLA methods enable spatial analysis to study learners and teachers actions in collaborative learning settings. The examples bring out interesting results informing the design of learning spaces while showing at the same time the complexity of its effects on learning processes. By bringing together an overview of the evolution in this research line and current studies with their findings, the chapter highlights the increasing potential of MMLA to advance learning space research.

@incollection{MMLAHLSD, abstract = {Research on learning spaces and their impact on teaching and learning have been a field of inquiry for decades. Yet, technology advances regarding data capture and analysis tools have led to a significant evolution in the field, opening new opportunities and challenges. This chapter features the role of multimodal learning analytics in learning space research. In particular, the chapter presents an overview of the evolution of analytical studies about learning spaces with a focus on the development of Multimodal Learning Analysis (MMLA) over time. The chapter also offers three detailed examples from current research that illustrate how different MMLA methods enable spatial analysis to study learners and teachers actions in collaborative learning settings. The examples bring out interesting results informing the design of learning spaces while showing at the same time the complexity of its effects on learning processes. By bringing together an overview of the evolution in this research line and current studies with their findings, the chapter highlights the increasing potential of MMLA to advance learning space research. }, added-at = {2022-02-27T09:28:11.000+0100}, author = {Vujovic, Milica and Hernández-Leo, Davinia and Martinez-Maldonado, Roberto and Cukurova, Mutlu and Spikol, Daniel}, biburl = {https://www.bibsonomy.org/bibtex/2b3e95da45282699ee9db504802df0e7b/yish}, interhash = {476a78ec5d0803ea35abebb1625a57d5}, intrahash = {b3e95da45282699ee9db504802df0e7b}, keywords = {analytics design learning levinst multimodal spaces}, timestamp = {2022-02-27T09:28:11.000+0100}, title = {Multimodal Learning Analytics and the Design of Learning Spaces}, year = {submitted} }