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Worked Examples and Sub-goal Labeling: Impacts on Learning
Procedural instructions and worked examples have been shown to be effective learning aids in science, technology, engineering, and mathematics (STEM) learning materials. Procedural instructions are texts that describe a general method to reach a goal, while worked examples demonstrate how to apply this method to a specific instance. Research supporting the use of advanced organizers predicts that if learners see the worked example first, they can develop a basis for the problem-solving procedure.
Deception is a common behavior not only in humans but also in animals. We focus on deceptive behavior in robotics because the appropriate use of deception is beneficial in several domains ranging from the military to a more everyday context. In this project, we proposed a taxonomy of robot deception and developed novel algorithms for robots' deceptive behaviors inspired by biological findings. In more recent work, we are developing computational models and conducting human-subject studies for a robot's other-oriented deception in the context of Human-Robot Interactions (HRI).
GVU Center Brown Bag: Elisabetta Matsumoto "Twisted Topological Tangles or: the knot theory of knitting"
This talk will discuss how the properties of the yarn and stitch of knitting has a direct effect on the global geometric and mechanical outcome of knitted fabrics.
Sponsors of the 2020 ICPC North America Championship are welcoming Georgia Tech students to meet with them on Feb. 20, from 12 to 5 p.m.
The science of language: linguistics, natural language processing, human language processing, and the role of language in society.
Changing the Conversation: Georgia Tech Researchers Provide New Approach to Automated Story GenerationResearch from Georgia Tech’s School of Interactive Computing provides a novel approach that improves the combination of automated story generation with natural language.
Jill Watson – Georgia Tech’s AI designed explicitly for answering student questions about specific courses - was named as one of 10 semifinalists in IBM’s AI XPrize competition.
MIT Technology Review, Jan 30, 2020
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