College of Engineering Seminar: How Students Learn? Implications for Computer-Assisted Learning
- Monday, October 16, 2017 from 3:00pm to 4:00pm
- Roberts Hall, 101 - view map
Just as in the early days of educational television, teaching with computer-based materials is now transitioning from an alternate means of replicating the lecture hall and traditional methods to software that takes advantage of the power of the computer. Artificial intelligence systems that diagnose student learning and adjust the material presentation accordingly, individualized instantaneous feedback systems and embedded activities which retain student interest are but a few examples of the changes occurring in computer-based learning. In order to design state-of-the-art intelligent systems one must understand how students learn and solve problems. Research findings for the seven principles of learning; prior knowledge, knowledge organization, student motivation, knowledge integration/mastery, practice and feedback, intellectual development and metacognition (learning to learn); will be presented with emphasis on those findings that impact computer-assisted learning. The application of these research findings will also be demonstrated during the seminar. A new project involving knowledge networks and artificial intelligence as applied to early, high attrition engineering knowledge domains will also be introduced.
- College of Engineering