A carbon literacy for green innovation and entrepreneurship humanoid robot-assisted digital storytelling model
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Abstract
Climate change has been negatively impacting our environment. The adverse effects of
climate change include flooding, drought, rising sea levels, hurricanes, and high
temperatures in different regions. The primary source of climate change is the release of
greenhouse gases into the atmosphere. Methane (CH4), nitrous oxide (N2O), and carbon
dioxide (CO2) are examples of greenhouse gases. Specific human activities contribute to
the emission of greenhouse gases into the atmosphere. Fossil fuel combustion is the
primary human activity responsible for greenhouse gas emissions. Carbon dioxide is the
most prevalent greenhouse gas, accounting for approximately 75% of global emissions.
This dominance of carbon dioxide in greenhouse emissions necessitated the concept of
carbon literacy to educate individuals and organizations on ways to reduce their carbon
footprint.
Robot-assisted digital storytelling is a digital storytelling method that uses social robots to
tell a story to audiences. From elementary schools to universities, robot-assisted
storytelling has been demonstrated to be an effective teaching method. However, no
published model exists for developers to create robot storytelling instruction or training.
Hence, this thesis proposes a robot-assisted digital storytelling model for carbon literacy
training. The study employed the design science research methodology for its activities.
The model development process started with the selection of articles that had been
published on robot storytelling. The selected articles were analyzed, and the procedures
and activities used to create robot storytelling were identified. Those activities and
procedures were synthesized to develop the proposed robot storytelling model. The
model was experimented with by using it to create digital storytelling, which trained
selected undergraduate students on carbon literacy. Similar training was delivered to
some students using a narrated PowerPoint presentation for comparison. The two pieces
of training were evaluated, and it was discovered that though both trainings improved
learning outcomes and motivation, the robot storytelling enhanced the participants'
knowledge of carbon literacy better than the narrated PowerPoint presentation. In
conclusion, this study proposed a six-element model that enhances learner motivation,
engagement, and learning outcomes in carbon literacy training.
Description
This thesis was submitted in fulfilment of the requirements of the degree of Doctor of Philosophy in Information Technology, Durban University of Technology, Durban, South Africa, 2025.
Citation
DOI
https://doi.org/10.51415/10321/6295
