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A carbon literacy for green innovation and entrepreneurship humanoid robot-assisted digital storytelling model

dc.contributor.advisorParbanath, Steven
dc.contributor.authorEssien, George
dc.date.accessioned2025-11-10T05:43:24Z
dc.date.available2025-11-10T05:43:24Z
dc.date.issued2025-04-28
dc.descriptionThis 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.
dc.description.abstractClimate 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.
dc.description.levelD
dc.format.extent227 p
dc.identifier.doihttps://doi.org/10.51415/10321/6295
dc.identifier.urihttps://hdl.handle.net/10321/6295
dc.language.isoen
dc.subjectClimate change
dc.subjectGreenhouse gas
dc.subjectRobot-assisted digital storytelling
dc.subject.lcshEnvironmental education
dc.subject.lcshClimatic changes
dc.subject.lcshAtmospheric carbon dioxide
dc.subject.lcshRobotics in education
dc.subject.lcshDigital storytelling
dc.subject.lcshGreen technology
dc.subject.lcshEntrepreneurship
dc.titleA carbon literacy for green innovation and entrepreneurship humanoid robot-assisted digital storytelling model
dc.typeThesis
local.sdgSDG04
local.sdgSDG07
local.sdgSDG08
local.sdgSDG09
local.sdgSDG11
local.sdgSDG12
local.sdgSDG17

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