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Renato Cortinovis Member status icon

P-time External PhD Research Student
Renato Cortinovis Photograph

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Thesis: Supporting OERs discoverability.

Supervisors: Prof. John Domingue, Dr. Alexander Mikroyannidis

My research aims to support the discoverability of educational resources. So far I have carried out (1) a desk-based domain-oriented task-analysis with a behavioural model, (2) its empirical evaluation in my target context, and (3) developed a proof-of-concept prototype based on peculiar requirements and insights emerging from the previous task-analysis empirical evaluation.

This prototype identifies educational resources directly in standard Google results pages (where most educators start from), where it injects custom rich-snippets containing descriptive metadata and expansion/discovery functionalities, allowing users to expand their search to similar resources. Similar resources are identified and ranked with a novel similarity metrics based on alignments to educational standards.

A short but meaningful screencast of the proof-of-concept prototype is available at: http://people.kmi.open.ac.uk/renato.

Following its heuristic, discounted, inspection evaluation (ongoing activity), I will develop and evaluate (user testing this time) an enhanced prototype.


Personal info:

I have background experience in R&D sectors in the context of the European Space Agency, European Community and CERN, as well as technology transfer sectors at the International Telecommunication Union. I had the opportunity to work with various interesting technologies: human computer interaction, e-learning, software engineering, artificial intelligence, operating systems design, image processing, parallel architectures, telecommunication, hardware and VLSI design.

I left the corporate rat race a couple of lives ago, to work as a consultant and educator, and in my fourth life I have engaged in this academic research experience.

Keys: linked data, schema.org, collective intelligence, merging search and recommendation systems, foraging theory, evaluation.

Team: John Domingue, Alexander Mikroyannidis

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Senior Research Fellow

Knowledge Media Institute (KMi)
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