• Publications
  • Influence
RECON: a reciprocal recommender for online dating
TLDR
The predictive power gained by taking account of reciprocity is substantial, for example it improved the success rate of the top ten recommendations from 23% to 42% and also improved the recall at the same time. Expand
Student Models that Invite the Learner In: The SMILI: () Open Learner Modelling Framework
  • S. Bull, J. Kay
  • Computer Science
  • Int. J. Artif. Intell. Educ.
  • 1 April 2007
TLDR
A framework for describing and analysing open learner models of adaptive learning environments is presented, and examples of its use to describe and compare adaptive educational systems are given. Expand
A fair share scheduler
TLDR
A fair Share scheduler allocates resources so that users get their fair machine share over a long period because central-processing-units have traditionally allocated resources fairly among processes. Expand
Open Learner Models
  • S. Bull, J. Kay
  • Computer Science
  • Advances in Intelligent Tutoring Systems
  • 2010
TLDR
The range of purposes that Open Learner Models can serve are described, illustrating these with diverse examples of the ways that they have been made available in several research systems. Expand
Problem-Based Learning for Foundation Computer Science Courses
TLDR
A summary of the experience over three years of PBL teaching and some of the pragmatic issues around introducing the radical change in teaching, maintaining staff support, and continuing refinement of the approach are discussed. Expand
Learner Control
  • J. Kay
  • Computer Science
  • User Modeling and User-Adapted Interaction
  • 27 March 2001
TLDR
The paper discusses three of these: the need to evaluate the effectiveness of the emergent learner-controlled systems; problems with learner control; and the need for interoperable and reusable components. Expand
MOOCs: So Many Learners, So Much Potential ...
TLDR
Where MOOCs fit within the e-learning and Artificial Intelligence in Education (AIED) landscape is explored. Expand
Stereotypes, Student Models and Scrutability
  • J. Kay
  • Computer Science
  • Intelligent Tutoring Systems
  • 19 June 2000
TLDR
The paper explores the ways that scrutable stereotypes can provide a foundation for learners to tune their student models and explore the impact of the student model. Expand
SMILI☺: a Framework for Interfaces to Learning Data in Open Learner Models, Learning Analytics and Related Fields
  • S. Bull, J. Kay
  • Computer Science
  • International Journal of Artificial Intelligence…
  • 12 January 2016
TLDR
A revised and simpler version of SMILI☺ is presented, offering this as a guide for designers of interfaces for OLMs, learning analytics and related fields, and highlighting the areas where there is need for more research. Expand
Tabletop sharing of digital photographs for the elderly
TLDR
This paper describes the design of SharePic -- a multiuser, multi-touch, gestural, collaborative digital photograph sharing application for a tabletop -- and the evaluation with both young adult and elderly user groups, and the user interface built based on them. Expand
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