Disrupting the Disruption: A Digital Learning HeXie Ecology Model

Li, Na, , Xi, Youmin, Limniou, Maria, Zhang, Xiaojun, & Kek, Megan Yih Chyn (2022) Disrupting the Disruption: A Digital Learning HeXie Ecology Model. Education Sciences, 12(2), Article number: 63.

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Description

Broad societal disruptions (i.e., the industrial revolution, digitalisation, and globalisation) have created a need for an increasingly adaptive higher education system in recent decades. However, the response to these disruptions by universities has generally been slow. Most recently, online learning environments have had to be leveraged by universities to overcome the difficulties in teaching and learning due to COVID-19 restrictions. Thus, universities have had to explore and adopt all potential digital learning opportunities that are able to keep students and teachers engaged in a short period. This paper proposes a digital learning HeXie ecology model, which conceptualises elements and relationships pertaining to the societal need for a more agile and digitally resilient higher education system that is better placed to confront disruptive events (such as pandemics) and that is able to produce graduates who are well-equipped to deal with disruption and uncertainty more broadly. Specifically, we propose a digital learning ecology that emphasises the role of self-directed learning and its dynamic interaction between formal, informal, and lifelong learning across a five-level ecosystem: the microsystem, mesosystem, exosystem, macrosystem, and chronosystem. This study contributes to the theoretical literature related to flexible learning ecologies by adopting and incorporating the Chinese HeXie concept into such ecologies.

Impact and interest:

11 citations in Scopus
6 citations in Web of Science®
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ID Code: 227615
Item Type: Contribution to Journal (Journal Article)
Refereed: Yes
ORCID iD:
Huijser, Henkorcid.org/0000-0001-9699-4940
Additional Information: Funding: This research was funded by the University of Liverpool, grant number 100699618.
Measurements or Duration: 16 pages
Keywords: digital learning ecology, self-directed learning, learning technology, digital resilience, higher education, HeXie
DOI: 10.3390/educsci12020063
ISSN: 2227-7102
Pure ID: 104954564
Divisions: Current > QUT Faculties and Divisions > Academic Division
Copyright Owner: 2022 The Author(s)
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Deposited On: 24 Jan 2022 05:48
Last Modified: 28 Jun 2024 16:45