Evidence map›Paper›PMID 40479329›Full record

ArticleJournal of the knowledge economy2022

Design Thinking Innovation Within the Quadruple Helix Approach: a Proposed Framework to Enhance Student Engagement Through Active Learning in Digital Marketing Pedagogy.

John R T Bustard, Daniel Hsiang Hsu, Rachael Fergie

Abstract read
In one paragraph

Article in Journal of the knowledge economy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

John R T BustardDepartment of Management, Leadership and Marketing, Ulster University, Belfast, Northern Ireland.ORCID 0000-0001-5767-9040
Daniel Hsiang HsuDepartment of Management, Leadership and Marketing, Ulster University, Belfast, Northern Ireland.ORCID 0000-0001-5040-081X
Rachael FergieDepartment of Management, Leadership and Marketing, Ulster University, Belfast, Northern Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this paper is to develop a framework for enhancing student engagement through active learning and design thinking workshops online. The COVID-19 pandemic has increased the need for digital engagement exponentially, yet the important experiences of collaborative and active learning (AL) have become more challenging to facilitate and support in circumstances of remote access during classes. As such, design thinking (DT) online presented a unique opportunity to explore this collaborative approach to engaging in user-centred design and design innovation. To explore a specific curriculum design dilemma and validate the methodology adopted, online DT workshops were conducted with two different cohorts of students toward co-creating more student-centred forms of learning in two digital marketing (DM) courses. The approach was guided by the POLARIS active learning framework to embed the framework's seven perspectives (Purpose, Objectives, Learning landscape, Activities and assessment, Resources, Inter-relation with stakeholders, and Student engagement) which were considered to better enhance student engagement in an online learning environment. Using the framework proposed, which additionally integrates Quadruple Helix Model (QHM) actors, would facilitate further DT innovation towards co-creating new value in digital marketing pedagogy, curriculum design, and beyond.

Indexed as

Active learningCo-creation; Quadruple HelixCurriculum designDesign thinkingStudent engagement

Identifiers

PMID40479329
PMCPMC8889054

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.