Planning to enhance student learning outcomes on innovation design projects

Yi Teng Shih, Willy D. Sher

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Design studio is the central learning environment for students in design schools. For the major design project, various topic selections can lead to dissimilar design journeys. This module was taught for the first time at one of the international universities in China campus in the 2015 spring semester. After completing the teaching, students suggested that more critiques help them to acquire design knowledge and manage their time more effectively. We adopted their suggestions. However, the learning outcomes in 2016 were not as good as those of the preceding year. To address this issue, we proposed Kolb’s experiential learning cycle as a framework to develop assessment strategies for various design stages, and we argued that assessment strategies designed based on this framework enhance student learning outcomes. We illustrated how the stages of Kolb’s model can be incorporated into the major design project and results presented in the paper.

Original languageEnglish
Title of host publicationResearch into Design for a Connected World - Proceedings of ICoRD 2019 Volume 2
EditorsAmaresh Chakrabarti
PublisherSpringer Science and Business Media Deutschland GmbH
Pages913-923
Number of pages11
ISBN (Print)9789811359767
DOIs
Publication statusPublished - 1 Jan 2019
Externally publishedYes
Event7th International Conference on Research into Design, ICoRD 2019 - Bangalore, India
Duration: 9 Jan 201911 Jan 2019

Publication series

NameSmart Innovation, Systems and Technologies
Volume135
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Conference

Conference7th International Conference on Research into Design, ICoRD 2019
CountryIndia
CityBangalore
Period9/01/1911/01/19

Keywords

  • Design critique
  • Design education
  • Experiential learning
  • Major design project

ASJC Scopus subject areas

  • Decision Sciences(all)
  • Computer Science(all)

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