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Mike Sharples

Researcher at Open University

Publications -  271
Citations -  16333

Mike Sharples is an academic researcher from Open University. The author has contributed to research in topics: Educational technology & Synchronous learning. The author has an hindex of 59, co-authored 263 publications receiving 15585 citations. Previous affiliations of Mike Sharples include Oxford Brookes University & University of Sussex.

Papers
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Book ChapterDOI

Controlling the Application of Knowledge-Based Systems

Mike Sharples
TL;DR: The chapter argues for the regulation of KBS construction, particularly for those systems designed for public or “non-expert” use, and suggests courses of action that would both minimize risk and promote social benefit in future developments.

Seeding, wonder rooms and curatorial inquiry: New forms of museum communication and learning

Mike Sharples
TL;DR: In this article, the role and fabric of museums as places to exhibit and interpret collections for public education and entertainment has been discussed in an age of digital and mobile technologies, such as seamless learning, rhizomatic learning and personal inquiry learning.

Computer discriminationbetween diseases of the brain basedon MR image features

Abstract: In attempting to achieve a diagnosis both novice and expert radiologists tend to simplify the process by grouping contending diagnosis candidates into “small worlds” of similar appearance or similar clinical features. Comparing a current undiagnosed case with an archive of image feature descriptors of past cases also provides opportunities for discovering the roles of individual image features in discrimination. Techniques of implementing such potentially rewarding analyses require a standard language of descriptors (an image description language or IDL) that can be used consistently on an archive of cases to blindly describe them without knowledge of the final diagnoses. It is important that the radiological protocols employed should be matched between examples and new cases and that there should be sufficient numbers in the archive to provide statistically convincing data.
Journal ArticleDOI

John Clark's Latin Verse Machine: 19th Century Computational Creativity

TL;DR: The Eureka machine as mentioned in this paper was the first attempt to generate hexameter Latin verse by a human, using a theory of "kaleidoscopic evolution" whereby the Latin verse is "conceived in the mind of the machine" then mechanically produced and displayed.

Can technology empower the public to think scientifically? The case of nQuire

TL;DR: The vision is to educate the general public in thinking scientifically through engagement with nQuire missions, which enables members of the public to join or set up their own investigations or ‘missions’ to explore themselves and their environment.