top banner top banner
index
RegularArticles
ReplicationStudies
EditorialBoard
Instructions4Authors
JournalGuidelines
Messages
Submission

Search publications:

Hidden Markov models and learning in authentic situations

Full text PDF
Bibliographic information: BibTEX format RIS format XML format APA style
Cited references information: BibTEX format APA style
Doi: 10.20982/tqmp.07.2.p032

Harvey, Léon
32-41
Keywords: learning situation , hidden markov model
Tools: Matlab
(no sample data)   (no appendix)

This paper introduces Hidden Markov Models for the analysis of authentic learning data from an applied field. For illustrative purposes, it shows how classical 2-state all-or-none models can be extended to adequately fit the competence development process of nursery apprentices in a clinical context. It also presents some of the main underlying ideas, such as model specifications, parameters estimation, model selection, the Viterbi algorithm, and goodness-of-fit issues.


Pages © TQMP;
Template last modified: 2017-16-01.
Page consulted on .
Be informed of the upcoming issues with RSS feed: RSS icon RSS