ITS'10 Proceedings of the 10th international conference on Intelligent Tutoring Systems - Volume Part I
International Journal of Artificial Intelligence in Education - Special issue on Best of ITS 2010
| Hi-index | 0.00 |
Face-to-face tutoring by an expert human tutor is widely thought to be more effective than intelligent tutoring systems (ITS), which are in turn thought to be more effective than computer-aided instruction (CAI), computer-based training (CBT), etc. The latter tutoring systems have students work out complex solutions on paper, then enter their answer into the tutor, which gives them feedback and hints on their answer. Thus, CAI, CBT, etc. are answer-based tutoring systems. This is a low level of interactivity, in that the student may make many inferences between the time they start the problem and when they first get feedback on their thinking. With a typical ITS, such as the Andes physics tutoring system, students enter every step of a complex solution into the tutor, which gives them feedback and hints, either immediately or when they have finished entering all the steps. These systems are step-based tutoring systems, because the feedback and hints are directed at steps rather than the final answer. They are moderately interactive, because students make a moderate number of inferences per step. When interacting face-to-face with a human tutor, students often talk aloud as they reason, and thus allow the tutor to hear and intervene at almost every inference made by the student. Thus, human tutoring is highly interactive. Natural language tutoring systems, such as Why2-Atlas and Cordillera, are engineered to act like human tutors, so they too are highly interactive.