Developing Fine-grained Performance Indicators for Assessment of Computer Engineering using Outcome-based Education

被引:2
作者
Ammar, Khalid [1 ]
Bin Rais, Rao Naveed [1 ]
机构
[1] Ajman Univ, ECE Dept, Ajman, U Arab Emirates
来源
2021 9TH INTERNATIONAL CONFERENCE ON INFORMATION AND EDUCATION TECHNOLOGY (ICIET 2021) | 2021年
关键词
program learning outcomes; PLOs; accreditation; assessment; performance indicators; rubrics;
D O I
10.1109/ICIET51873.2021.9419611
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:285 / 290
页数:6
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