AI-Oriented Curriculum Reform in Architectural Education at Universities

Rong Huang ()
Additional contact information
Rong Huang: Kunming University of Science and Technology Oxbridge college

A chapter in Proceedings of the 2025 Seminar on Modern Property Management Talent Training Enabling New Productive Forces (MPMTT 2025), 2025, pp 439-447 from Springer

Abstract: Abstract This paper discusses the potential and application of artificial intelligence technology in the teaching of traditional architectural design courses. By analyzing the overall relationship between artificial intelligence and architectural design teaching and the current situation of teaching practice at home and abroad, this paper proposes a ‘three-dimensional integration’ teaching model system based on artificial intelligence (knowledge dimension: AI technology + architectural ontology knowledge; spatial dimension: physical space + digital twin space; evaluation dimension: traditional assessment + AI-assisted assessment). Through the strategies of AI technology embedding, intelligent knowledge integration and teaching system reconstruction, a “progressive” curriculum reform model is constructed to provide theoretical support and practical reference for the transformation of architectural education in the intelligent era.

Keywords: Artificial intelligence; architectural design; curriculum reform; knowledge fusion; teaching system (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-778-6_53

Ordering information: This item can be ordered from
http://www.springer.com/9789464637786

DOI: 10.2991/978-94-6463-778-6_53

Access Statistics for this chapter

More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().