计算机程序持续改进计划的评价方法

A. Azzouni, Jennifer Parham-Mocello
{"title":"计算机程序持续改进计划的评价方法","authors":"A. Azzouni, Jennifer Parham-Mocello","doi":"10.1109/FIE49875.2021.9637369","DOIUrl":null,"url":null,"abstract":"In today's competitive academic environment, academic computing programs must continuously improve, and for accredited programs, establishing and documenting a continuous improvement (CI) plan is a main requirement for accreditation. While many academic computing programs strive to implement a comprehensive CI plan that addresses all angles of the process, which we call 360-CI, they rarely do. One of the reasons for this deficiency is the ambiguity of what comprehensive CI (or 360-CI) is. From the literature, we identify 8 components of CI that should be addressed in every academic computing program's CI plan. These components include Administration, Curriculum, Course, Faculty, Research, Academic Advising, Facilities, and Support Staff. Each CI component is not addressed equally in the literature. The most emphasis is on Curriculum, Course, and Faculty, while the others receive much less attention. In this paper, we introduce an “ideal” 360-CI model utilizing all 8 CI components, and we use the 360-CI model to develop a method for scoring the comprehensiveness of an academic computing program's CI plan. To evaluate this method, we conducted a series of 21 semi-structured interviews and followup questionnaires with administrators and faculty in a large electrical engineering and computer science program. The results are consistent with the literature showing the most emphasis on Curriculum, Course, and Faculty CI and the least emphasis on Advising, Facilities, and Support Staff CI. Based on the results from this research, we propose potential approaches to help academic computing programs establish and maintain a CI plan that maximizes their CI score.","PeriodicalId":408497,"journal":{"name":"2021 IEEE Frontiers in Education Conference (FIE)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Method for Evaluating a Computing Program's Continuous Improvement Plan\",\"authors\":\"A. Azzouni, Jennifer Parham-Mocello\",\"doi\":\"10.1109/FIE49875.2021.9637369\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In today's competitive academic environment, academic computing programs must continuously improve, and for accredited programs, establishing and documenting a continuous improvement (CI) plan is a main requirement for accreditation. While many academic computing programs strive to implement a comprehensive CI plan that addresses all angles of the process, which we call 360-CI, they rarely do. One of the reasons for this deficiency is the ambiguity of what comprehensive CI (or 360-CI) is. From the literature, we identify 8 components of CI that should be addressed in every academic computing program's CI plan. These components include Administration, Curriculum, Course, Faculty, Research, Academic Advising, Facilities, and Support Staff. Each CI component is not addressed equally in the literature. The most emphasis is on Curriculum, Course, and Faculty, while the others receive much less attention. In this paper, we introduce an “ideal” 360-CI model utilizing all 8 CI components, and we use the 360-CI model to develop a method for scoring the comprehensiveness of an academic computing program's CI plan. To evaluate this method, we conducted a series of 21 semi-structured interviews and followup questionnaires with administrators and faculty in a large electrical engineering and computer science program. The results are consistent with the literature showing the most emphasis on Curriculum, Course, and Faculty CI and the least emphasis on Advising, Facilities, and Support Staff CI. Based on the results from this research, we propose potential approaches to help academic computing programs establish and maintain a CI plan that maximizes their CI score.\",\"PeriodicalId\":408497,\"journal\":{\"name\":\"2021 IEEE Frontiers in Education Conference (FIE)\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE Frontiers in Education Conference (FIE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FIE49875.2021.9637369\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE Frontiers in Education Conference (FIE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FIE49875.2021.9637369","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

在当今竞争激烈的学术环境中,学术计算课程必须不断改进,对于认证课程,建立和记录持续改进(CI)计划是认证的主要要求。虽然许多学术计算程序努力实现一个全面的CI计划,以解决过程的所有角度,我们称之为360-CI,但他们很少这样做。这种缺陷的原因之一是什么是全面CI(或360-CI)的模糊性。从文献中,我们确定了每个学术计算项目的CI计划中应该解决的CI的8个组成部分。这些组成部分包括管理,课程,课程,教师,研究,学术咨询,设施和支持人员。每个CI组件在文献中没有得到平等的处理。最强调的是课程、课程和教师,而其他方面受到的关注要少得多。在本文中,我们介绍了一个利用所有8个CI组件的“理想”360-CI模型,并使用360-CI模型开发了一种评估学术计算项目CI计划全面性的方法。为了评估这种方法,我们对一个大型电气工程和计算机科学项目的管理人员和教师进行了一系列的21次半结构化访谈和后续问卷调查。结果与文献一致,文献显示最强调课程、课程和教师CI,最不强调咨询、设施和支持人员CI。基于这项研究的结果,我们提出了一些潜在的方法来帮助学术计算项目建立和维护一个CI计划,从而最大化他们的CI分数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Method for Evaluating a Computing Program's Continuous Improvement Plan
In today's competitive academic environment, academic computing programs must continuously improve, and for accredited programs, establishing and documenting a continuous improvement (CI) plan is a main requirement for accreditation. While many academic computing programs strive to implement a comprehensive CI plan that addresses all angles of the process, which we call 360-CI, they rarely do. One of the reasons for this deficiency is the ambiguity of what comprehensive CI (or 360-CI) is. From the literature, we identify 8 components of CI that should be addressed in every academic computing program's CI plan. These components include Administration, Curriculum, Course, Faculty, Research, Academic Advising, Facilities, and Support Staff. Each CI component is not addressed equally in the literature. The most emphasis is on Curriculum, Course, and Faculty, while the others receive much less attention. In this paper, we introduce an “ideal” 360-CI model utilizing all 8 CI components, and we use the 360-CI model to develop a method for scoring the comprehensiveness of an academic computing program's CI plan. To evaluate this method, we conducted a series of 21 semi-structured interviews and followup questionnaires with administrators and faculty in a large electrical engineering and computer science program. The results are consistent with the literature showing the most emphasis on Curriculum, Course, and Faculty CI and the least emphasis on Advising, Facilities, and Support Staff CI. Based on the results from this research, we propose potential approaches to help academic computing programs establish and maintain a CI plan that maximizes their CI score.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信