{"title":"physic:基于案例学习的智能助手","authors":"Jane Yung-jen Hsu, C. Ting","doi":"10.1109/TAI.1998.744857","DOIUrl":null,"url":null,"abstract":"The paper presents the design and implementation of PHYSIMC, which supports case based learning of elementary physics in a computer assisted simulation environment. The PHYSIMC system facilitates physics problem solving by providing: 1) a user friendly interface for problem specification via direct manipulation of physical objects; 2) 2D motion simulation of primitive physical objects; 3) a case library of successful problem solving episodes; and 4) a browsing tool for relevant problems and their corresponding solutions. As a result, a student can make use of past problem solving experiences in attempting to solve a new problem. In a knowledge based simulation environment, such case based learning tools help narrow the gaps due to incomplete domain knowledge.","PeriodicalId":424568,"journal":{"name":"Proceedings Tenth IEEE International Conference on Tools with Artificial Intelligence (Cat. No.98CH36294)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"PHYSIMC: an intelligent assistant for case-based learning\",\"authors\":\"Jane Yung-jen Hsu, C. Ting\",\"doi\":\"10.1109/TAI.1998.744857\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents the design and implementation of PHYSIMC, which supports case based learning of elementary physics in a computer assisted simulation environment. The PHYSIMC system facilitates physics problem solving by providing: 1) a user friendly interface for problem specification via direct manipulation of physical objects; 2) 2D motion simulation of primitive physical objects; 3) a case library of successful problem solving episodes; and 4) a browsing tool for relevant problems and their corresponding solutions. As a result, a student can make use of past problem solving experiences in attempting to solve a new problem. In a knowledge based simulation environment, such case based learning tools help narrow the gaps due to incomplete domain knowledge.\",\"PeriodicalId\":424568,\"journal\":{\"name\":\"Proceedings Tenth IEEE International Conference on Tools with Artificial Intelligence (Cat. No.98CH36294)\",\"volume\":\"76 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-11-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings Tenth IEEE International Conference on Tools with Artificial Intelligence (Cat. No.98CH36294)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TAI.1998.744857\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Tenth IEEE International Conference on Tools with Artificial Intelligence (Cat. No.98CH36294)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TAI.1998.744857","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
PHYSIMC: an intelligent assistant for case-based learning
The paper presents the design and implementation of PHYSIMC, which supports case based learning of elementary physics in a computer assisted simulation environment. The PHYSIMC system facilitates physics problem solving by providing: 1) a user friendly interface for problem specification via direct manipulation of physical objects; 2) 2D motion simulation of primitive physical objects; 3) a case library of successful problem solving episodes; and 4) a browsing tool for relevant problems and their corresponding solutions. As a result, a student can make use of past problem solving experiences in attempting to solve a new problem. In a knowledge based simulation environment, such case based learning tools help narrow the gaps due to incomplete domain knowledge.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
