基于画布的ABET CAC和EAC认证多程序评估系统

Wen-li Wang, M. Tang
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引用次数: 1

摘要

这是一篇创新实践全文。本文介绍了一个多专业院系寻求ABET CAC和EAC认证的多专业评估体系。Canvas LMS是我们的授权工具,教师可以使用它来设置课程大纲、分配分数以及与学生交流。然而,它未能解决我们的一些数据问题,包括数据检索、数据分离、数据共享、数据集成和数据安全。Canvas LMS不提供仪器的单个标题标准的数据下载,阻碍了更细粒度的分析。也没有信息来确定学生的专业,使得不同学术项目的数据分离变得困难。教师们不愿意在Canvas上分享学生数据进行整合,担心违反FERPA。此外,数据共享和数据集成会增加数据安全风险。我们的评估系统建立在Canvas之上,是一个面向服务的web应用程序,供教师评估学生的表现并生成仪器报告。这些报告仅显示用于数据共享、集成和安全目的的计算统计数据。所提供的web服务可以与另一个系统交互,以区分学生的专业,并整合其标题标准涵盖相同绩效指标(pi)的工具。该系统是一种安全可靠的方法,可以克服我们的数据问题,并可以促进形成性和总结性分析的项目结果评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Canvas Based Multi-Program Assessment System for ABET CAC and EAC Accreditations
This is an Innovative Practice Full Paper. This paper introduces a multi-program assessment system for a department offering multiple majors to seek accreditation from ABET CAC and EAC. The Canvas LMS is our mandated tool for faculty to set up course rubrics, assign grades, and communicate with students. However, it falls short on solving several of our data issues, including data retrieval, data separation, data sharing, data integration, and data security. The Canvas LMS provides no data download for individual rubric criteria of an instrument, hindering analysis to a more granular level. There is also no information to identify a student’s major, making data separation for different academic programs difficult. Faculty are reluctant to share student data on Canvas for integration, worrying about a violation to FERPA. Moreover, data sharing and data integration can increase the risk of data security. Our assessment system is built atop of Canvas and is a service oriented web application for faculty to assess student performance and generate instrument reports. The reports reveal only computed statistics for data sharing, integration and security purposes. The provided web services can interact with another system to distinguish student majors and consolidate instruments whose rubric criteria cover the same performance indicators (PIs). The system is a safe and sound methodology to conquer our data problems and can facilitate both formative and summative analyses for the program outcomes evaluation.
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