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

A.S. Attia

doi:10.6180/jase.202106_24(3).0006

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

Civil Engineering

Attia A. S. This email address is being protected from spambots. You need JavaScript enabled to view it.¹

¹College of Architecture and Design, Jordan University of Science and Technology, Irbid 22110, Jordan

Received: October 2, 2020
Accepted: December 4, 2020
Publication Date: June 1, 2021

Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.

Download Citation: ||https://doi.org/10.6180/jase.202106_24(3).0006

ABSTRACT

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, 2017-20120. In conclusion, applying the revised Bloom’s Taxonomy is essential in preparing course learning outcomes and assessment.

Keywords: Bloom’s Taxonomy; Learning outcomes; Student’s performance criteria (SPC’s); Knowledge dimension; Cognitive process dimension; Hypothetical test assessment matrix.

REFERENCES

[1] David R. Krathwohl. A revision of bloom’s taxonomy: An overview, 2002.
[2] Mary J Pickard. The new Bloom’s Taxonomy: an overview for family and consumer sciences. Journal of Family and Consumer Sciences Education, 25(1):11, 2007.
[3] Serhat Kurt. Using Bloom’s Taxonomy toWrite Effective Learning Objectives: The ABCD Approach, 2019.
[4] Stuart Werner Baur and Semih G Yildirim. Development of Learning Taxonomy for an Undergraduate Course in Architectural Engineering Program. American Society for Engineering Education, (April):1–10, 2016.
[5] A.S. Attia. Blooms Taxonomy and Guidelines for Effective Student’s Assessment. In (CLO’s) Course Learning Outcomes and (SPC’s), Jordan, 2020.
[6] Andrea Rutledge. Conditions for Accreditation National Architectural Accrediting Board, Inc., 2014.
[7] Edmund Bilon. Using Bloom’s Taxonomy to Write Effective Learning Objectives: The ABCDs of Writing Learning Objectives: A Basic Guide. apr 2019.
[8] Carlo Magno. A Closer Look at other Taxonomies of Learning: A Guide for Assessing Student Learning. The Assessment Handbook, 5:50, 2011.
[9] A. Shanableh, S. Barakat, M. Omar, K. Hammad, and F. Shadond. Program Educational Objectives and Outcomes Assessment – The Civil Engineering Program at the University of Sharjah as Case Study. In 5th International Forum Engineering Education in the 21st Century, Quality, Globalization, and Local Relevance (IFEE), pages 90–114. College of the Engineering University of Sharjah. College of Graduate Studies and Research, University of Sharjah, 2012.