基于结果教育的计算机工程评估的细粒度绩效指标

Khalid Ammar, Rao Naveed Bin Rais
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引用次数: 1

摘要

持续评估项目学习成果(PLOs)是高等教育项目改进的基本组成部分,也是保持认证机构要求的必要条件。认证机构为院校展示如何开展评估提供了相当大的灵活性,评估通常通过评估课程学习成果(CLOs)和将CLOs映射到公共科学图书馆来进行。虽然这提供了实现哪些PLO和需要注意哪些PLO的指示,但它有可能遗漏学习成果的许多细粒度方面。在本文中,我们为每个PLO的每个维度确定了具体的绩效指标(pi),以精确测量PLO各个维度中的所有个人绩效标准,从而为项目的持续改进提供适当的补救措施。我们与最新的工程技术认证委员会(ABET)学生学习成果(SLO) 1-7分享在为我们的项目开发和实施这种模式时所学到的经验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Developing Fine-Grained Performance Indicators for Assessment of Computer Engineering using Outcome-Baseda Education
Continuous assessment of the program learning outcomes (PLOs) is a fundamental part of a higher education program for program improvement and desirable to maintain the requirements of accreditation bodies. Accreditation bodies provide considerable flexibility to institutions to show how the assessment are carried out, which is generally carried out by assessing the course learning outcomes (CLOs) and mapping CLOs to PLOs. While this provides an indication of which PLO is achieved and which needs attention, it risks missing out many fine-grained aspects of the learning outcomes. In this paper, we identify specific performance indicators (PIs) for each dimension for every PLO to precisely measure all individual performance criterion within the various dimensions of a PLO which leads to a proper remedial action for the program continuous improvement. We share the experiences learnt while developing and implementing this model for our program, with the updated Accreditation Board for Engineering and Technology (ABET) student learning outcomes (SLO) 1–7.
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