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Thieme Hennis

Multimodal Learning Analytics | Transformative Learning Technologies Lab - 0 views

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    Using advanced sensing and artificial intelligence technologies, we are investigating new ways to assess project-based activities, examining students' speech, gestures, sketches, and artifacts in order to better characterize their learning over extended periods of time. Particularly aimed at assessing important skills that are currently hard to assess: creativity, innovation, critical thinking, problem solving, communication, and collaboration. And this is even more challenging in large scale learning environments. Using sensing and data mining technologies could make it possible to capture and analyze massive amounts of process data of classroom activities. https://tltl.stanford.edu/project/multimodal-learning-analytics
Gayle Allen

Distributed Environmental Data: On the Ground at the Data Sensing Lab - YouTube - 1 views

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    "We will soon begin to move in a sea of data, our movements tracked and our environments measured and adjusted to our preferences, without need for direct intervention."
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