{"title":"以交通问题为例,教授通用性思维技巧","authors":"G. Maples, R. Heady, Zhiwei Zhu","doi":"10.1504/IJIOME.2006.009717","DOIUrl":null,"url":null,"abstract":"University faculties generally recognise their responsibility to assist their students' development of thinking skills. However, as human knowledge grows exponentially, so too do the educators' subject domains. The education literature suggests that these two goals, the development of generalisable problem solving skills and the learning of increasingly specific content, conflict. We review this literature and discuss its relevance to the teaching of the transportation problem. We then suggest an alternative method of teaching the transportation problem, one that uses less mathematically sophisticated techniques but produces a better understanding of the nature of the problem, its solution, its application, and its relevance to other optimisation problems.","PeriodicalId":193538,"journal":{"name":"International Journal of Information and Operations Management Education","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Teaching generalisable thinking skills using the transportation problem\",\"authors\":\"G. Maples, R. Heady, Zhiwei Zhu\",\"doi\":\"10.1504/IJIOME.2006.009717\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"University faculties generally recognise their responsibility to assist their students' development of thinking skills. However, as human knowledge grows exponentially, so too do the educators' subject domains. The education literature suggests that these two goals, the development of generalisable problem solving skills and the learning of increasingly specific content, conflict. We review this literature and discuss its relevance to the teaching of the transportation problem. We then suggest an alternative method of teaching the transportation problem, one that uses less mathematically sophisticated techniques but produces a better understanding of the nature of the problem, its solution, its application, and its relevance to other optimisation problems.\",\"PeriodicalId\":193538,\"journal\":{\"name\":\"International Journal of Information and Operations Management Education\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-05-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Information and Operations Management Education\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/IJIOME.2006.009717\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Information and Operations Management Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJIOME.2006.009717","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Teaching generalisable thinking skills using the transportation problem
University faculties generally recognise their responsibility to assist their students' development of thinking skills. However, as human knowledge grows exponentially, so too do the educators' subject domains. The education literature suggests that these two goals, the development of generalisable problem solving skills and the learning of increasingly specific content, conflict. We review this literature and discuss its relevance to the teaching of the transportation problem. We then suggest an alternative method of teaching the transportation problem, one that uses less mathematically sophisticated techniques but produces a better understanding of the nature of the problem, its solution, its application, and its relevance to other optimisation problems.