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Zhang, Li; Barnden, John – International Journal of Distance Education Technologies, 2013
Affect detection from open-ended virtual improvisational contexts is a challenging task. To achieve this research goal, the authors developed an intelligent agent which was able to engage in virtual improvisation and perform sentence-level affect detection from user inputs. This affect detection development was efficient for the improvisational…
Descriptors: Affective Behavior, Semantics, Role Playing, Computer Simulation
Loke, Swee-Kin; Blyth, Phil; Swan, Judith – Australasian Journal of Educational Technology, 2012
While the potentials of virtual worlds to support experiential learning in medical education are well documented, assessment of student learning within these environments is relatively scarce and often incongruent. In this article, a conceptual framework is proposed for formatively assessing dispositional behaviours in scenario-based learning…
Descriptors: Foreign Countries, Computer Assisted Instruction, Experiential Learning, Medical Education
Zhang, Li; Gillies, Marco; Dhaliwal, Kulwant; Gower, Amanda; Robertson, Dale; Crabtree, Barry – International Journal of Artificial Intelligence in Education, 2009
This paper describes a multi-user role-playing environment, referred to as "e-drama", which enables groups of people to converse online, in scenario driven virtual environments. The starting point of this research, is an existing application known as "edrama", a 2D graphical environment in which users are represented by static…
Descriptors: Disabilities, Cartoons, Interpersonal Relationship, Interaction

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