Building Student Engagement with LEGO® and AI: An Integrated Playful Learning Approach

Precious A. Brenni

ERES from European Real Estate Society (ERES)

Abstract: The rapid advancement of technology, including generative AI, presents new challenges to active student involvement in the learning process. This study investigates whether playful learning, using LEGO® as a tool, enhances student engagement in Real Estate Finance, an undergraduate module at Durham University. Data comes from an anonymous student survey, following the completion of the workshop-based playful learning activities. Initial findings indicate that playful learning is a fun but not frivolous pedagogic approach, fostering individual involvement and active collaboration. The results also show no significant differences in satisfaction levels across gender and student status, highlighting the potential of playful learning to create more inclusive study spaces. Further, the findings suggest that playful learning and generative AI can be effectively combined to align with the fast-evolving educational landscape. Overall, this study hints at the need to go beyond conventional teaching methods and adopt approaches that support more engaging and inclusive learning experiences in (real estate) education.

Keywords: Engagement; Learn; LEGO®; Play (search for similar items in EconPapers)
JEL-codes: R3 (search for similar items in EconPapers)
Date: 2025-01-01
New Economics Papers: this item is included in nep-inv and nep-pke
References: Add references at CitEc
Citations:

Downloads: (external link)
https://eres.architexturez.net/doc/oai-eres-id-eres2025-205 (text/html)

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:arz:wpaper:eres2025_205

Access Statistics for this paper

More papers in ERES from European Real Estate Society (ERES) Contact information at EDIRC.
Bibliographic data for series maintained by Architexturez Imprints ().