Designing a Computational Model of Learning
| dc.contributor.author | Gibson, David | |
| dc.date.accessioned | 2017-01-30T12:43:45Z | |
| dc.date.available | 2017-01-30T12:43:45Z | |
| dc.date.created | 2013-12-30T20:00:32Z | |
| dc.date.issued | 2009 | |
| dc.identifier.citation | Gibson, David. 2009. Designing a Computational Model of Learning, in R.E. Ferdig (ed), Handbook of Research on Effective Electronic Gaming in Education, pp. 671-701. Hershey, PA: Information Science Reference. | |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/24551 | |
| dc.description.abstract |
What would a game or simulation need to have in order to teach a teacher how people learn? This chapter uses a four-part framework of knowledge, learner, assessment and community (Bransford, Brown, & Cocking, 2000) to discuss design considerations for building a computational model of learning. A teaching simulation – simSchool - helps illustrate selected psychological, physical and cognitive models and how intelligence can be represented in software agents. The design discussion includes evolutionary perspectives on artificial intelligence and the role of the conceptual assessment framework (Mislevy, Steinberg, & Almond, 2003) for automating feedback to the simulation user. The purpose of the chapter is to integrate a number of theories into a design framework for a computational model of learning. | |
| dc.publisher | Information Science Reference | |
| dc.title | Designing a Computational Model of Learning | |
| dc.type | Book Chapter | |
| dcterms.source.startPage | 671 | |
| dcterms.source.endPage | 701 | |
| dcterms.source.title | Handbook of Research on Effective Electronic Gaming in Education | |
| dcterms.source.isbn | 9781599048086 | |
| dcterms.source.place | Hershey, PA, USA | |
| dcterms.source.chapter | 39 | |
| curtin.department | ||
| curtin.accessStatus | Fulltext not available |