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Articles 1 - 5 of 5
Full-Text Articles in Engineering
The Entanglement Of Influential Technology Channels In Practice And Design, Ciarán O'Leary
The Entanglement Of Influential Technology Channels In Practice And Design, Ciarán O'Leary
Doctoral
Design for academic practice is an important phenomenon in Higher Education. This is the practice through which informal, non-professional designers operating in a variety of roles in academic institutions carry out the design of systems, resources, activities and processes that are intended to enhance academic practice. Despite its importance, the area has not received sufficient attention in studies of academic practice, quality enhancement and digital transformation. This thesis argues that the absence of insight into how designers for academic practice engage with digital technology in their design practice contributes to the mismatch between the ambitions for digital transformation in higher …
Detection Of Software Vulnerability Communication In Expert Social Media Channels: A Data-Driven Approach, Andrei Lima Queiroz
Detection Of Software Vulnerability Communication In Expert Social Media Channels: A Data-Driven Approach, Andrei Lima Queiroz
Doctoral
Conceptually, a vulnerability is: "A flaw or weakness in a system’s design, implementation,or operation and management that could be exploited to violate the system’s security policy".Some of these flaws can go undetected and exploited for long periods of time after soft-ware release. Although some software providers are making efforts to avoid this situ-ation, inevitability, users are still exposed to vulnerabilities that allow criminal hackersto take advantage. These vulnerabilities are constantly discussed in specialised forumson social media. Therefore, from a cyber security standpoint, the information found inthese places can be used for countermeasures actions against malicious exploitation ofsoftware. However, manual inspection …
Investigation Of The Effects Of A Situated Learning Digital Game On Mathematics Education At The Primary School Level, Mariana Rocha
Investigation Of The Effects Of A Situated Learning Digital Game On Mathematics Education At The Primary School Level, Mariana Rocha
Doctoral
Previous research suggests games can improve learning outcomesand students’ motivation. However, there still exists insufficient clarity on the design principles and pedagogical approach that should underpinmathematics educational games. This thesis is aimed at evaluating the effects of an educationalgame on the learningperformance and levels of anxiety promoted by mathematics activities of primary school students. The game was designed based on theprinciples of situated learning, following acombination of an in-depth literature review, a collection of teachers’ perceptions about educational games, and features ofclassroom games. Empirical evaluation of the game was performed through a 5-weeks experiment carried out in three Irish schools, …
A Hybrid Agent-Based And Equation Based Epidemiological Model For The Spread Of Infectious Diseases, Elizabeth Hunter
A Hybrid Agent-Based And Equation Based Epidemiological Model For The Spread Of Infectious Diseases, Elizabeth Hunter
Doctoral
Infectious disease models are essential in understanding how an outbreak might occur and how best to mitigate an outbreak. One of the most important factors in modelling a disease is choosing an appropriate model and determining the assump tions needed to create the model. The main research questions this thesis addresses are how do we create a model for the spread of infectious diseases that captures heterogeneous agents without using an inordinate amount of computing power and how can we use that model to plan for future infectious disease outbreaks. We start our work by analysing and comparing equation based …
Evaluating The Impact Of Defeasible Argumentation As A Modelling Technique For Reasoning Under Uncertainty, Lucas Rizzo
Evaluating The Impact Of Defeasible Argumentation As A Modelling Technique For Reasoning Under Uncertainty, Lucas Rizzo
Doctoral
Limited work exists for the comparison across distinct knowledge-based approaches in Artificial Intelligence (AI) for non-monotonic reasoning, and in particular for the examination of their inferential and explanatory capacity. Non-monotonicity, or defeasibility, allows the retraction of a conclusion in the light of new information. It is a similar pattern to human reasoning, which draws conclusions in the absence of information, but allows them to be corrected once new pieces of evidence arise. Thus, this thesis focuses on a comparison of three approaches in AI for implementation of non-monotonic reasoning models of inference, namely: expert systems, fuzzy reasoning and defeasible argumentation. …