iRobot
Reports of the AAAI 2010 Spring Symposia
Barkowsky, Thomas (University of Bremen) | Bertel, Sven (University of Illinois at Urbana-Champaign) | Broz, Frank (University of Hertfordshire) | Chaudhri, Vinay K. (SRI International) | Eagle, Nathan (txteagle, Inc.) | Genesereth, Michael (Stanford University) | Halpin, Harry (University of Edinburgh) | Hamner, Emily (Carnegie Mellon University) | Hoffmann, Gabe (Palo Alto Research Center) | Hölscher, Christoph (University of Freiburg) | Horvitz, Eric (Microsoft Research) | Lauwers, Tom (Carnegie Mellon University) | McGuinness, Deborah L. (Rensselaer Polytechnic Institute) | Michalowski, Marek (BeatBots LLC) | Mower, Emily (University of Southern California) | Shipley, Thomas F. (Temple University) | Stubbs, Kristen (iRobot) | Vogl, Roland (Stanford University) | Williams, Mary-Anne (University of Technology)
The Association for the Advancement of Artificial Intelligence, in cooperation with Stanford University's Department of Computer Science, is pleased to present the 2010 Spring Symposium Series, to be held Monday through Wednesday, March 22–24, 2010 at Stanford University. The titles of the seven symposia are Artificial Intelligence for Development; Cognitive Shape Processing; Educational Robotics and Beyond: Design and Evaluation; Embedded Reasoning: Intelligence in Embedded Systems Intelligent Information Privacy Management; It's All in the Timing: Representing and Reasoning about Time in Interactive Behavior; and Linked Data Meets Artificial Intelligence.
Reports of the AAAI 2010 Spring Symposia
Barkowsky, Thomas (University of Bremen) | Bertel, Sven (University of Illinois at Urbana-Champaign) | Broz, Frank (University of Hertfordshire) | Chaudhri, Vinay K. (SRI International) | Eagle, Nathan (txteagle, Inc.) | Genesereth, Michael (Stanford University) | Halpin, Harry (University of Edinburgh) | Hamner, Emily (Carnegie Mellon University) | Hoffmann, Gabe (Palo Alto Research Center) | Hölscher, Christoph (University of Freiburg) | Horvitz, Eric (Microsoft Research) | Lauwers, Tom (Carnegie Mellon University) | McGuinness, Deborah L. (Rensselaer Polytechnic Institute) | Michalowski, Marek (BeatBots LLC) | Mower, Emily (University of Southern California) | Shipley, Thomas F. (Temple University) | Stubbs, Kristen (iRobot) | Vogl, Roland (Stanford University) | Williams, Mary-Anne (University of Technology)
The Association for the Advancement of Artificial Intelligence, in cooperation with Stanford University’s Department of Computer Science, is pleased to present the 2010 Spring Symposium Series, to be held Monday through Wednesday, March 22–24, 2010 at Stanford University. The titles of the seven symposia are Artificial Intelligence for Development; Cognitive Shape Processing; Educational Robotics and Beyond: Design and Evaluation; Embedded Reasoning: Intelligence in Embedded Systems Intelligent Information Privacy Management; It’s All in the Timing: Representing and Reasoning about Time in Interactive Behavior; and Linked Data Meets Artificial Intelligence.
Tricks of the Trade: Insights on Evaluation
Bernstein, Debra (University of Pittsburgh) | Hamner, Emily (Carnegie Mellon University) | Lauwers, Tom (Carnegie Mellon University) | Stubbs, Kristen (iRobot)
Many educators believe that activities centered on electronic tangibles (ET) and robots are fun and motivating for their students. However, it is often difficult, given the nature of both new hardware and new curricula to tease apart the nature and causes of this excitement. Formally planned educational evaluations can help build a deeper understanding of the effects of the new program on students. However, evaluating the impact of new ETs can be a challenge. Classes and workshops utilizing ETs as teaching devices are by their nature hands-on and may not lend themselves to traditional exam-based assessments. After all of the effort required to design a new ET, plan an educational experience utilizing the technology, and then implement that plan with students, evaluation is sometimes left as an afterthought. Strong evaluation methods can provide important insights into ways to improve a design and help to show the impact of a program, resulting in increased opportunities for funding, dissemination, and replication.