Multiple-Choice Questions Exercise Higher-Order Thinking in Contrast to What Insturctors Predict
Xu Wang
xwanghci@umich.edu
Assistant Professor
Computer Science and Engineering
University of Michigan
I develop human-AI collaborative techniques to support education. One of my research goals is to empower instructors and educators to create effective learning experiences more easily, which in turn supports scalable teaching and learning. An example is providing instructors with on-demand controllable AI assistance while they are designing quiz questions. In addition, I study ways to help people be more attentive to each other's ideas during collaboration, and develop Augmented Reality-based systems to support physical task learning, e.g. in medical contexts. See more in my CV. Visit my research group Lifelong Learning Lab.
xwanghci@umich.edu
Assistant Professor
Computer Science and Engineering
University of Michigan
I develop human-AI collaborative techniques to support education. One of my research goals is to empower instructors and educators to create effective learning experiences more easily, which in turn supports scalable teaching and learning. An example is providing instructors with on-demand controllable AI assistance while they are designing quiz questions. In addition, I study ways to help people be more attentive to each other's ideas during collaboration, and develop Augmented Reality-based systems to support physical task learning, e.g. in medical contexts. See more in my CV. Visit my research group Lifelong Learning Lab.
