{"title":"并行与分布式计算教育资源评估框架","authors":"David W. Brown, Vitaly Ford, S. Ghafoor","doi":"10.1109/IPDPSW50202.2020.00057","DOIUrl":null,"url":null,"abstract":"This paper proposes a classification scheme for categorization of PDC educational resources. We have also proposed an evaluation framework for assessing the PDC resources. Under the proposed framework, each resource type has a set of criteria and an associated score. A PDC resource will obtain a score if evaluated under our proposed framework that is the sum of the scores of the criteria that the resource satisfies. The evaluation of whether a resource met a criterion is subjective. We have also presented our evaluation of PDC educational resources appropriate for CS1, CS2 (Computer Science 1 and 2), and DS/A (Data Structures and Algorithms) available on the web using our proposed framework.","PeriodicalId":398819,"journal":{"name":"2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A Framework for the Evaluation of Parallel and Distributed Computing Educational Resources\",\"authors\":\"David W. Brown, Vitaly Ford, S. Ghafoor\",\"doi\":\"10.1109/IPDPSW50202.2020.00057\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a classification scheme for categorization of PDC educational resources. We have also proposed an evaluation framework for assessing the PDC resources. Under the proposed framework, each resource type has a set of criteria and an associated score. A PDC resource will obtain a score if evaluated under our proposed framework that is the sum of the scores of the criteria that the resource satisfies. The evaluation of whether a resource met a criterion is subjective. We have also presented our evaluation of PDC educational resources appropriate for CS1, CS2 (Computer Science 1 and 2), and DS/A (Data Structures and Algorithms) available on the web using our proposed framework.\",\"PeriodicalId\":398819,\"journal\":{\"name\":\"2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)\",\"volume\":\"57 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IPDPSW50202.2020.00057\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPDPSW50202.2020.00057","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Framework for the Evaluation of Parallel and Distributed Computing Educational Resources
This paper proposes a classification scheme for categorization of PDC educational resources. We have also proposed an evaluation framework for assessing the PDC resources. Under the proposed framework, each resource type has a set of criteria and an associated score. A PDC resource will obtain a score if evaluated under our proposed framework that is the sum of the scores of the criteria that the resource satisfies. The evaluation of whether a resource met a criterion is subjective. We have also presented our evaluation of PDC educational resources appropriate for CS1, CS2 (Computer Science 1 and 2), and DS/A (Data Structures and Algorithms) available on the web using our proposed framework.