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H. Chad Lane
Research Scientist |
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USC Institute
for Creative Technologies 12015 Waterfront Drive Playa Vista, CA 90094 310-301-5015 (o) / 310-574-5725 (f) email: my-last-name <AT> ict.usc.edu |
| PUBLICATIONS RESEARCH SERVICE OTHER |
| What I do I am interested in helping people learn with the support of intelligent technologies. Most of this work involves the application of artificial intelligence (AI) and video game techniques to educational problems, such as fostering complex problem solving skills and promoting engagement in learning situations. Generally, USC ICT seeks to leverage the creative skills of video game developers and script writers to incorporate things like story and humor into virtual learning environments. Much of my work involves the creation of algorithms to coordinate these techniques with classic intelligent tutoring system (ITS) tasks, such as delivering feedback and assessing performance. Tensions certainly arise between the goal of "entertaining" and the goal of teaching, but they don't have to. In general, we seek to build systems that reap the benefits of timely and appropriate guidance, but maintain the engagement, motivation, and interest that narrative-based learning contexts seem to afford. We work closely with virtual human researchers at ICT and in a variety of task domains such as intercultural communication, counseling/leadership, informal science education, and even pediatric obesity. Education Ph.D.
Computer Science, University of
Pittsburgh, 2004. advisor: Kurt VanLehn. You might like...
Why study learning? Human learning is one of the great scientific problems of our time. Insanely rapid advances in technology have given the study of human learning a boost - both in explaining it and promoting it. We have Psychologists, Neuroscientists, and Cognitive Scientists to thank for pushing the learning sciences to new heights as they explore the hidden truths about cognition, the role of emotions in reasoning, learning, decision-making, and so on. As with any worthy scientific endeavor, the problem of unpacking human learning only grows more difficult the more we dig into it. The best scientists are - and have to be - humble, patient, and pleasantly skeptical... updated 9 Apr 2013 |