4. I-Peter II



I-Peter II image

I-Peter II

I-Peter II takes off where I-Peter I finishes.


In order to be able to compare and contrast these two systems, and the relevant design features and objectives of the research group, the following table summarises the differences between the two:


Feature I-PETER I I-PETER II
State of development Version 1.0 fully operational In development. First prototype being tested and used in COPPER.
Development history and funding UNED Vicerrectorado de Investigación (2001-03) Spanish Ministerio de Educación y Ciencia (HUM2004-05758/FILO )(2004-07)
Universities involved 2: UNED + Universidad Antonio de Nebrija 3: UNED + Universidad Antonio de Nebrija + Universidad de Castilla la Mancha
Number of researchers 4
8 + 2 student research assistants
Coverage
Pilot system for verb conjugation Fully operational system (entire English language)
Subject of course General standard language Professional English
Linguistic variant American
International
Linguistic skills Written
Written and oral
Linguistic approach Traditional didactic grammar Functional and communicative
Highest linguistic unit of study Text (exercises at sentential level) Text
Linguistic levels Lexical, morpho-syntactic and semantic Lexical, morpho-syntactic, semantic and pragmatic and discourse
Didactic approach Miscellaneous unconnected texts: mainly exercise-based with some supportive theory and examples Real task-based (Authentic Activities) approach using a real business scenario: balanced combination of theory and examples, practical activities and leisure activities
Structure of course Traditional nomenclature in four
levels (Beginner, Lower Intermediate, Upper Intermediate, Advanced)
Based upon the Common European Framework of Reference for Languages (2001)
Materials used Text
Text, images, audio and video
Type of exercise Closed, multiple choice Closed and semi-closed exercises
Language of didactic materials
Spanish
English
Learning structure Spiral approach (mechanical reproduction + non-attentive application) Spiral approach (mechanical reproduction + non-attentive application)
Underlying data model
Relational data structures XML
Bayesian network model used
1 network 55 + 1 networks at two different knowledge levels



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