Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 325

The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.

Theoretical foundations of design thinking – A constructivism learning approach to design thinking

Pande, Mandaar, Bharathi, S. Vijayakumar·2020·Thinking Skills and Creativity

Abstract

Abstract Design Thinking has been a subject of teaching, research and real-life application in almost every domain and area of education, research and industrial endeavor for the past many years. This paper explains how to recognize the tenets of constructivist learning theory (constructivist principles) within the teaching-learning of the Design Thinking process. The research, established an integrative approach to theory, method, and practice by developing a taxonomy of constructivist principles to map the process and activities of design thinking. The paper further picks up the thread of developing and fine-tuning a Design Thinking course by presenting, what we call as the “constructivism tenets-design thinking dashboard” which, while being suitable for business schools (Master of Business Administration), is generic enough to be used with minimal modifications for any other domains where customer experience is important, which is the case for all human endeavours.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.tsc.2020.100637

Cites

56 of 56 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 56 references

Metadata

Authors
Pande, M., & Bharathi, S. V.
Venue
Thinking Skills and Creativity
Publisher
Elsevier BV
Published
2020-06
Volume
36
Pages
100637
ISSN
1871-1871 (ISSN-L)
OpenAlex
W3005712486
Cited by
325
References
56
FWCI
18.24
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Theoretical foundations of design thinking – A constructivism learning approach to design thinking. https://app.cochat.ai/papers/10.1016/j.tsc.2020.100637
The paper
Pande, M., & Bharathi, S. V. (2020). Theoretical foundations of design thinking – A constructivism learning approach to design thinking. Thinking Skills and Creativity. https://doi.org/10.1016/j.tsc.2020.100637

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.