Intelligent Tutoring Systems, Educational Data Mining, and the Design and Evaluation of Video Games
نویسندگان
چکیده
Technological support for personalized learning has the potential to transform the educational system in the United States. There is a growing interest in educational games and their potential for motivating learners. Techniques from the educational data mining and intelligent tutoring systems communities can be leveraged to better understand, design, and evaluate educational games for both learning effectiveness and learner engagement. This work explores the use of intelligent feedback in games as well as the potential pitfalls; it concludes with a proposed study designed to explore the differences between intelligent tutoring systems and educational video games.
منابع مشابه
Evaluation of the q-matrix Method in Understanding Student Logic Proofs
In building intelligent tutoring systems, it is critical to be able to understand and diagnose student responses in interactive problem solving. We present a novel application of the q-matrix method, an educational data mining technique, to the problem of analyzing formal proofs. Our results indicate that automated analysis of formal proof data can provide an intelligent tutoring system with us...
متن کاملAdaptive, Assessment-Based Educational Games
Assessment-based educational games can produce useful information to guide student instruction. This paper describes an approach for integrating components of video games with those of adaptive technologies and assessment into the design of educational games. Three examples in the areas of English language learning and mathematics are also presented.
متن کاملTowards the design of Intelligent Educational Gaming Systems
Researches on Games in Education have shown that games motivate the learners to try to develop their knowledge whilst they perform in a pleasant virtual world in order to achieve the goals proposed. However, many games are not designed in a way to keep the learners model, as this happening for Intelligent Tutoring System, so they cannot adapt the teaching strategies to users’ knowledge. In addi...
متن کاملSubgroup Discovery with User Interaction Data: An Empirically Guided Approach to Improving Intelligent Tutoring Systems
Learner modeling, a challenging and complex endeavor, is an important and oft-studied research theme in computer-supported education. From this perspective, Educational Data Mining (EDM) research has focused on modeling and comprehending various dimensions of learning in computer based learning environments (CBLE). Researchers and designers are actively attempting to improve learning systems by...
متن کاملAn Approach to Usability Evaluation of an Intelligent Tutoring System
Intelligent tutoring systems are a generation of computerized educational systems, which are intended to improve the process of learning and teaching by attempting to mimic the capabilities of human teachers. The development of application technology in the field of computerized educational systems has not been accompanied by an adequate usable, user-centered interface design, possibly resultin...
متن کامل