{"title":"评估大学预科计算机活动的长期影响(仅摘要)","authors":"Adrienne Decker, Monica Mcgill, A. Peterfreund","doi":"10.1145/3017680.3022344","DOIUrl":null,"url":null,"abstract":"There is a critical need to increase the number of skilled technology workers in part due to the supply of workers in these fields not yet keeping up with demand. In an effort to increase the interest of students in studying within these fields, many commercial, governmental, and non-for-profit educational groups have sponsored numerous activities aimed to expose students to computing prior to college. With the advent of CS for All, there is further need to research these programs and evaluate their effectiveness. This session will gather researchers and practitioners interested in researching the impact that pre-college computing activities have on their participants. Participants will learn about a new initiative underway to make the job of collecting and tracking data easier. To be useful for the broader community, this NSF-funded IUSE initiative requires input from the community it wishes to serve. Participants will have the opportunity to provide valuable input on what their needs are for tracking such activities and what tools may be helpful for them, including methods for data collection to produce meaningful data that can be compared to data provided by other researchers and practitioners. The focus of this discussion will be the long-term impact of these activities; however, we will discuss data collection techniques researchers have used in the past to gauge short-term impact as well.","PeriodicalId":344382,"journal":{"name":"Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluating the Long-Term Impact of Pre-college Computing Activities (Abstract Only)\",\"authors\":\"Adrienne Decker, Monica Mcgill, A. Peterfreund\",\"doi\":\"10.1145/3017680.3022344\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"There is a critical need to increase the number of skilled technology workers in part due to the supply of workers in these fields not yet keeping up with demand. In an effort to increase the interest of students in studying within these fields, many commercial, governmental, and non-for-profit educational groups have sponsored numerous activities aimed to expose students to computing prior to college. With the advent of CS for All, there is further need to research these programs and evaluate their effectiveness. This session will gather researchers and practitioners interested in researching the impact that pre-college computing activities have on their participants. Participants will learn about a new initiative underway to make the job of collecting and tracking data easier. To be useful for the broader community, this NSF-funded IUSE initiative requires input from the community it wishes to serve. Participants will have the opportunity to provide valuable input on what their needs are for tracking such activities and what tools may be helpful for them, including methods for data collection to produce meaningful data that can be compared to data provided by other researchers and practitioners. The focus of this discussion will be the long-term impact of these activities; however, we will discuss data collection techniques researchers have used in the past to gauge short-term impact as well.\",\"PeriodicalId\":344382,\"journal\":{\"name\":\"Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-03-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3017680.3022344\",\"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 of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3017680.3022344","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
迫切需要增加熟练技术工人的数量,部分原因是这些领域的工人供应尚未跟上需求。为了提高学生在这些领域学习的兴趣,许多商业、政府和非营利性教育团体赞助了许多旨在让学生在上大学之前接触计算机的活动。随着CS for All的出现,需要进一步研究这些项目并评估其有效性。本次会议将聚集有兴趣研究大学前计算机活动对参与者的影响的研究人员和实践者。与会者将了解一项正在进行的新举措,以使收集和跟踪数据的工作更容易。为了对更广泛的社区有用,这个由nsf资助的IUSE计划需要来自它希望服务的社区的投入。与会者将有机会提供宝贵的意见,说明他们对跟踪此类活动的需求是什么,以及哪些工具可能对他们有帮助,包括收集数据的方法,以产生可与其他研究人员和从业人员提供的数据进行比较的有意义的数据。这次讨论的重点将是这些活动的长期影响;然而,我们也将讨论过去研究人员用来衡量短期影响的数据收集技术。
Evaluating the Long-Term Impact of Pre-college Computing Activities (Abstract Only)
There is a critical need to increase the number of skilled technology workers in part due to the supply of workers in these fields not yet keeping up with demand. In an effort to increase the interest of students in studying within these fields, many commercial, governmental, and non-for-profit educational groups have sponsored numerous activities aimed to expose students to computing prior to college. With the advent of CS for All, there is further need to research these programs and evaluate their effectiveness. This session will gather researchers and practitioners interested in researching the impact that pre-college computing activities have on their participants. Participants will learn about a new initiative underway to make the job of collecting and tracking data easier. To be useful for the broader community, this NSF-funded IUSE initiative requires input from the community it wishes to serve. Participants will have the opportunity to provide valuable input on what their needs are for tracking such activities and what tools may be helpful for them, including methods for data collection to produce meaningful data that can be compared to data provided by other researchers and practitioners. The focus of this discussion will be the long-term impact of these activities; however, we will discuss data collection techniques researchers have used in the past to gauge short-term impact as well.