{"title":"基于人工智能的学生学习评价工具","authors":"G. Jain, V. Gurupur, Eileen D. Faulkenberry","doi":"10.1109/EduCon.2013.6530191","DOIUrl":null,"url":null,"abstract":"In this paper we describe a tool coined as Artificial Intelligence Based Student Learning Evaluation Tool (AISLE). The main purpose of this tool is to improve the use of artificial intelligence techniques in evaluating a student's understanding of a particular topic of study using concept maps. Here we calculate the probability distribution of the concepts identified in the concept map developed by the student. The evaluation of a student's understanding of the topic is assessed by analyzing the curve of the graph generated by this tool. For the purpose of experimentation we have taken into consideration concept maps developed by students in the area of mathematics.","PeriodicalId":297233,"journal":{"name":"2013 IEEE Global Engineering Education Conference (EDUCON)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Artificial Intelligence Based Student Learning Evaluation Tool\",\"authors\":\"G. Jain, V. Gurupur, Eileen D. Faulkenberry\",\"doi\":\"10.1109/EduCon.2013.6530191\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we describe a tool coined as Artificial Intelligence Based Student Learning Evaluation Tool (AISLE). The main purpose of this tool is to improve the use of artificial intelligence techniques in evaluating a student's understanding of a particular topic of study using concept maps. Here we calculate the probability distribution of the concepts identified in the concept map developed by the student. The evaluation of a student's understanding of the topic is assessed by analyzing the curve of the graph generated by this tool. For the purpose of experimentation we have taken into consideration concept maps developed by students in the area of mathematics.\",\"PeriodicalId\":297233,\"journal\":{\"name\":\"2013 IEEE Global Engineering Education Conference (EDUCON)\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-03-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE Global Engineering Education Conference (EDUCON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EduCon.2013.6530191\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE Global Engineering Education Conference (EDUCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EduCon.2013.6530191","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Artificial Intelligence Based Student Learning Evaluation Tool
In this paper we describe a tool coined as Artificial Intelligence Based Student Learning Evaluation Tool (AISLE). The main purpose of this tool is to improve the use of artificial intelligence techniques in evaluating a student's understanding of a particular topic of study using concept maps. Here we calculate the probability distribution of the concepts identified in the concept map developed by the student. The evaluation of a student's understanding of the topic is assessed by analyzing the curve of the graph generated by this tool. For the purpose of experimentation we have taken into consideration concept maps developed by students in the area of mathematics.
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