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An Investigation into the Learning Goals and Requirements for the Data Wizard

Rukmana, R. (2021) An Investigation into the Learning Goals and Requirements for the Data Wizard.

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Abstract:Introduction: Climate change poses significant pressure on many aspects of society. The coastal regions of England, France, Belgium and the Netherlands, just to name a few are a handful of areas that have experienced the adverse effect of climate change such as rising sea levels. Facing these common challenges, Polder2C’s, a European cooperation project between the aforementioned nations was initiated to learn and co-produce knowledge to enhance their adaptive capacity and resiliency to climate change. However, the knowledge that is obtained and successfully applied in one country is not necessarily effective in another due to varying contexts, conditions and strategies. Thus, taking into consideration the learning outcomes of involved parties is important to promote mutual learning and knowledge exchange. One of the ways to disseminate the collected knowledge and data from the project is through the so-called Data Wizard – a website meant for sharing data collected from the Polder2C’s project. Research goal: This research contributed to the design process of the Data Wizard. The premise is that by encompassing the learning goals and requirements of its users and stakeholders, the Data Wizard can be better implemented. To achieve the said objective, this research followed a (part of) design science methodology which consists of two phases, namely problem investigation and treatment design phase. Problem investigation: The problem investigation phase outlined the context or problem surrounding the Data Wizard before deriving any requirements. This phase included activities such as discussions with the developers of the Data Wizard, analysis of project documents and analysis of a questionnaire that was distributed prior to this study to not only identify the problem but also the stakeholders and users of the Data Wizard. The conversations with the developers highlighted the fact that the Data Wizard does not currently have a precise definition which resulted in different expectations and interpretations to arise – from both the developers and stakeholders as later elaborated. Distinct user groups of the Data Wizard were identified from the analysis of the questionnaire. Three of the most prominent user groups are administrative, university/academics and engineering companies – which are reflected by the stakeholders and people from the project themselves. The questionnaire also hinted at the most relevant kinds of knowledge to be included in the Data Wizard, namely new knowledge, major observations, results and cleaned experimental data – but activity from the project was not specified. Additionally, the stakeholders of the Data Wizard were found by following the information chain in the project which consisted of data production, data processing, data storage/sharing and data exploitation. Treatment design: The treatment design phase elicited the requirements and learning goals of the stakeholders through a focus group discussion. The focus group discussion dug into their everyday practices, what they would like to learn from the project and their past experiences with platforms containing data/knowledge similar to the one produced by the Polder2C’s project. It was found that activities 5 such as overflow test, survey, levee inspection and repair attracted the most interest – which may complement the result from the questionnaire in which the activity for the new knowledge was not defined. The stakeholders also expressed their interest in learnt lessons from the said project activities. This includes a better understanding of erosion processes, the effectiveness of levee repairs and so forth. Requirements for the Data Wizard comprises of user-friendly interface/navigation, classifications of data, and detailed descriptions of the levee conditions, just to name a few. The stakeholders also referred to researchers, students, dike engineers and levee managers as the more specific users belonging to one of the three aforementioned user groups. Conclusion: This research provides the reader with the stakeholders, user-groups, preliminary learning goals and requirements from the stakeholders for the Data Wizard. The problem investigation phase identified the stakeholders and users of the Data Wizard whereas the treatment design gathered a minimum set of requirements and learning goals of the stakeholders for the Data Wizard. These key findings were synthesised into a design brief which formed the basis for the recommendations.
Item Type:Essay (Bachelor)
Faculty:ET: Engineering Technology
Programme:Industrial Design BSc (56955)
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