A systematic approach to evaluating architectural portfolios: architectural portfolio evaluation rubric (APER)

Abstract This study presents the development and validation process of an architectural portfolio evaluation rubric (APER) aimed at assessing the quality and effectiveness of architectural portfolios. The research adopts a systematic approach, employing a series of consecutive methods to construct and validate the rubric. Firstly, a thorough examination of relevant literature is conducted to determine the appropriate criteria. After, the modified Delphi technique is employed to validate the rubric with input from subject-matter experts. Fifteen field experts attempt to achieve consensus by refining the rubric via multiple rounds of qualitative and quantitative data collection. The study also addresses the raters’ agreement and consistency of the rubric through statistical analyses, including Fleiss's kappa coefficient, intra-class correlation coefficient (ICC), and generalizability coefficient based on generalizability theory (G theory). Findings indicate that the APER provides a robust framework for evaluating architectural portfolios, facilitating informed decision-making in academic and professional contexts. The study contributes to the continuing discussion about portfolio assessment approaches in architecture, providing significant insights for learners, practitioners, and scholars.

Authors

Institutions

Publication Details

Journal
International Journal of Technology and Design Education
Published
2025-04-08
DOI
https://doi.org/10.1007/s10798-025-09980-3
Citations
1
Primary Topic
Reflective Practices in Education
Type
article
Field-Weighted Citation Impact
8.93
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A systematic approach to evaluating architectural portfolios: architectural portfolio evaluation rubric (APER)

Hasan Taştan, İhsan Erdem Er
1 citations
International Journal of Technology and Design Education
Reflective Practices in Education
8.93
article

A systematic approach to evaluating architectural portfolios: architectural portfolio evaluation rubric (APER)

Hasan Taştan, İhsan Erdem Er
article en
1 citations

Abstract

Abstract This study presents the development and validation process of an architectural portfolio evaluation rubric (APER) aimed at assessing the quality and effectiveness of architectural portfolios. The research adopts a systematic approach, employing a series of consecutive methods to construct and validate the rubric. Firstly, a thorough examination of relevant literature is conducted to determine the appropriate criteria. After, the modified Delphi technique is employed to validate the rubric with input from subject-matter experts. Fifteen field experts attempt to achieve consensus by refining the rubric via multiple rounds of qualitative and quantitative data collection. The study also addresses the raters’ agreement and consistency of the rubric through statistical analyses, including Fleiss's kappa coefficient, intra-class correlation coefficient (ICC), and generalizability coefficient based on generalizability theory (G theory). Findings indicate that the APER provides a robust framework for evaluating architectural portfolios, facilitating informed decision-making in academic and professional contexts. The study contributes to the continuing discussion about portfolio assessment approaches in architecture, providing significant insights for learners, practitioners, and scholars.

International Journal of Technology and Design EducationVol. 35(5)
University of Architecture, Civil Engineering and Geodesy (BG)
Openalex Percentile: Top 5%
Reflective Practices in Education
8.93
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.