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pg admissions tutor |
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jobTitle |
Lecturer in Computing |
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jobTitle |
Senior Lecturer in Computing |
19fae8a5f7d2e4e1a37e5eefa7a11543 |
research overview |
<p>My main research interests are in pedagogy of STEM education, including ways of
engaging people in non-traditional contexts, such as children in Code Clubs and under-represented
groups looking to move into computing.</p> |
19fae8a5f7d2e4e1a37e5eefa7a11543 |
research overview |
<p>There are two main areas of my research: diagrammatic reasoning and qualitative
reasoning about software evolution.</p><p>In the diagrammatic reasoning area, I am
interested in developing ways to automatically interpret the meaning of diagrams (such
as entity-relationship
diagrams and simple sketch maps), particularly when those diagrams are not well-formed.
Interpretation of such diagrams requires that the interpreter makehypotheses about
the intended meaning of different features of the diagram and manages how those hypotheses
interact.</p><p>The long-term evolution of software systems is an important field
of study, but the mechansims that drive it are poorly understood. Qualitative reasoning
is a sub-field of AI that was developed to allow reliable reasoning in the face of
incomplete knowledge. With colleagues, I am looking at ways of applyingqualitative
reasoning techniques to understanding software evolution.</p> |
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biography |
<p>Dr Smith is a senior lecturer in Computing and Communications with interests in
aritficial intelligence, data science, machine learning, and pedagogy.</p> |
19fae8a5f7d2e4e1a37e5eefa7a11543 |
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Dr Neil Smith |
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mailto:neil.smith@open.ac.uk |
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name |
Neil Smith |
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name |
Neil Smith |
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N. Smith |
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urn:tel:+44-(0)1908-654101 |
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title |
Dr |
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title |
Dr |
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topic_interest |
empirical studies of software development |
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topic_interest |
animal-computer interaction |
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topic_interest |
natural language processing |
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work info homepage |
neil.smith |
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work info homepage |
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Description |
<p>Dr Smith is a senior lecturer in Computing and Communications with interests in
aritficial intelligence, data science, machine learning, and pedagogy.</p> |
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