{"title":"基于结果教育的计算机工程评估的细粒度绩效指标","authors":"Khalid Ammar, Rao Naveed Bin Rais","doi":"10.1109/ICIET51873.2021.9419611","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":156688,"journal":{"name":"2021 9th International Conference on Information and Education Technology (ICIET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Developing Fine-Grained Performance Indicators for Assessment of Computer Engineering using Outcome-Baseda Education\",\"authors\":\"Khalid Ammar, Rao Naveed Bin Rais\",\"doi\":\"10.1109/ICIET51873.2021.9419611\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":156688,\"journal\":{\"name\":\"2021 9th International Conference on Information and Education Technology (ICIET)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-03-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 9th International Conference on Information and Education Technology (ICIET)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIET51873.2021.9419611\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 9th International Conference on Information and Education Technology (ICIET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIET51873.2021.9419611","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.