Graduate Attribute Assessment for Each Student of Remote Sensing Science and Technology Program

Y. Zhang, Yan Gong, W. Cui
{"title":"Graduate Attribute Assessment for Each Student of Remote Sensing Science and Technology Program","authors":"Y. Zhang, Yan Gong, W. Cui","doi":"10.1109/TALE54877.2022.00081","DOIUrl":null,"url":null,"abstract":"Taking the program of remote sensing science and technology as example, this paper calculated the degree of achievement of the 12 graduate attributes (GAs) adopted by Washington Accord for each student using the direct assessment method based on supporting courses’ grades. To make full use of the elective science courses and elective engineering program courses the course combos were adopted as supporting courses linking the GAs to the learning activities. The achievement scores of 12 GAs for 614 students of 2019-2021 were calculated. The results show that on average the 12 scores are all above 0.8. There is a small and steady improvement of the overall achievement scores except for GA6 Engineer and society of the past 3 years. The attributes with high scores are attribute 7 Environment and sustainability, 5 Modern tool usage. However, the low scores are from some soft competency requirement such as 10 Communication, 12 Life-long learning, and 11 Project management, which are the relatively deficient parts in the program of remote sensing science and technology. Comparison of the distribution in different achievement score ranges indicates that the students numbers of a score above 0.89 has increased, from 20% to 22% in 2020 and to 32% in 2021.","PeriodicalId":369501,"journal":{"name":"2022 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TALE54877.2022.00081","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Taking the program of remote sensing science and technology as example, this paper calculated the degree of achievement of the 12 graduate attributes (GAs) adopted by Washington Accord for each student using the direct assessment method based on supporting courses’ grades. To make full use of the elective science courses and elective engineering program courses the course combos were adopted as supporting courses linking the GAs to the learning activities. The achievement scores of 12 GAs for 614 students of 2019-2021 were calculated. The results show that on average the 12 scores are all above 0.8. There is a small and steady improvement of the overall achievement scores except for GA6 Engineer and society of the past 3 years. The attributes with high scores are attribute 7 Environment and sustainability, 5 Modern tool usage. However, the low scores are from some soft competency requirement such as 10 Communication, 12 Life-long learning, and 11 Project management, which are the relatively deficient parts in the program of remote sensing science and technology. Comparison of the distribution in different achievement score ranges indicates that the students numbers of a score above 0.89 has increased, from 20% to 22% in 2020 and to 32% in 2021.
遥感科学与技术专业学生毕业属性评价
本文以遥感科学与技术专业为例,采用基于配套课程成绩的直接评估法,计算了每个学生对华盛顿协议所采用的12个研究生属性(GAs)的达成程度。为了充分利用科学选修课和工程选修课,采用课程组合作为辅助课程,将GAs与学习活动联系起来。计算了614名学生2019-2021学年12门学科的成绩。结果表明,12个学生的平均得分均在0.8以上。除GA6工程师和社会外,近3年整体成绩有小幅稳步提升。得分较高的属性是属性7环境和可持续性,属性5现代工具使用。而较低的是一些软能力要求,如沟通10分、终身学习12分、项目管理11分,这是遥感科技专业相对欠缺的部分。比较不同成绩分数范围的分布情况可以发现,分数在0.89以上的学生人数有所增加,从2020年的20%增加到22%,到2021年增加到32%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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:481959085
Book学术官方微信