Interpreting the ABET Computer Science Criteria Using Competencies

Interpreting the ABET Computer Science Criteria Using Competencies
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使用能力解释 ABET 计算机科学标准

DOI:
10.1145/3478431.3499293
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发表时间:
2022
期刊:
53rd ACM Technical Symposium on Computer Science Education (SIGCSE 2022
影响因子:
--
通讯作者:
Impagliazzo, John
Impagliazzo, John
中科院分区:
--
文献类型:
--
作者:
Raj, Rajendra K.;Kumar, Amruth N.;Sabin, Mihaela;Impagliazzo, John

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自21世纪初以来,Abet的认证标准一直侧重于学习结果(学生学到了什么),而不是教授教授的教学内容。这样的认证标准使得课程需要建立明确的学习目标和评估程序,以确保课程毕业生拥有必要的技术和专业准备。为此,Abet将学生成果定义为“学生在毕业时应该知道和能够做的事情”,并进一步指出,这些成果“与学生在项目过程中获得的知识、技能和行为有关”。随着计算课程2020(CC2020)最近的发布,计算计划毕业生的能力受到了额外的关注。CC2020将能力描述为“包括在工作环境中完成任务时可观察到的知识、技能和性格”。因此,ABET的学生成绩在很大程度上符合CC2020项目毕业生的能力。本文首次尝试在计算机科学的背景下调和这两个概念。它介绍了相关的背景,并讨论了学生的能力和他们的评估,重点是基于能力的学习在计算机科学。本文的贡献在于(1)形成了对计算能力的共同理解,(2)解释了ABET的学生结果,以提高计算机科学毕业生的能力,包括性格和期望。
Since the early 21st century, ABET's accreditation criteria have focused on learning outcomes (what students learn) rather than what professors teach. Such accreditation criteria bring to bear the need for programs to establish clear learning objectives and assessment processes that ensure that program graduates have the requisite technical and professional preparation. To this end, ABET defines student outcomes as "what students are expected to know and be able to do by the time of graduation," further noting that these outcomes "relate to the knowledge, skills, and behaviors that students acquire as they progress through the program." With the recent release of Computing Curricula 2020 (CC2020), the competencies of computing program graduates have received additional attention. CC2020 describes competency as "comprising knowledge, skills, and dispositions that are observable in accomplishing a task within a work context."ABET's student outcomes thus largely correspond to the CC2020competencies of program graduates. This paper is a first attempt to reconcile the two notions in the context of computer science. It presents the relevant background and discusses student competencies and their assessments that focus on competency-based learning in computer science. The contributions of this paper are (1) forging an improved shared understanding of computing competencies and (2) an interpretation of ABET's student outcomes to improve the competency, including dispositions, expectations of computer science graduates.
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