Bloom's Taxonomy as a tool to optimize course learning outcomes and assessments in Architecture Programs

被引:3
作者
Attia, A. S. [1 ]
机构
[1] Jordan Univ Sci & Technol, Coll Architecture & Design, Irbid 22110, Jordan
来源
JOURNAL OF APPLIED SCIENCE AND ENGINEERING | 2021年 / 24卷 / 03期
关键词
Bloom's Taxonomy; Learning outcomes; Student's performance criteria (SPC's); Knowledge dimension; Cognitive process dimension; Hypothetical test assessment matrix;
D O I
10.6180/jase.202106_24(3).0006
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The study addresses the subject of Bloom's Taxonomy as a tool to optimize course learning outcomes (CLO's) and the assessment of architecture courses. Bloom's Taxonomy is considered the most applied Taxonomy used in the engineering field. The paper presents an overview of Bloom's Taxonomy, the revised edition (New Version- 2 Dimensions: cognitive Process Dimension and Knowledge Dimension), and its components. The documentation process for course files, which include all course data used in the assessment stage. Also, the definition of the course objectives and how to optimize Course Learning Outcomes (CLO's) with the international accreditation criteria (SPC's) Student Performance Criteria (NAAB accreditation criteria as an example). It also illustrates the preparation of blueprints as a hypothetical matrix for assessments of both tests and assignments according to the set CLO's. The study based on gained experience during my cooperation in preparation for both (RIBA) Validation for the architecture program at the Faculty of Architectural Engineering, Beirut Arab University, Lebanon, 2011-2015, and (NAAB) Accreditation for architecture program at the College of Architecture and Design, at the Jordan University of Science and Technology, 2017-2020. In conclusion, applying the revised Bloom's Taxonomy is essential in preparing course learning outcomes and assessment.
引用
收藏
页码:315 / 322
页数:8
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