Graf, S., Lin, T., Kinshuk. (2008). The relationship between learning styles and cognitive traits - Getting additional information for improving student modelling. Computers in Human Behavior, 24. p133-137.
Overview
student modelling for adaptive learning environments
Felder-Silverman learning style model and working memory capacity
demonstrate relationship between cognitive traits and learning style
focus on working memory
description of Felder-Silverman learning style model
description of cognitive trait model
mapping between four dimensions of Felder-Silverman and working memory capacity of cognitive trait model
Critique
"FSLSM seems to be most appropriate for the use in educational systems"
* There seems to be little support for this. There is some discussion about how other models have fewer categories, but that is all.
"When a student encounters a new learning environment, the learning environment can directly use the CTM of the particular student from a Universal Resource Locator (URL) in the Internet or portable storage media of the student. The learning environment does not need to reconstruct a model of that student."
* the assumes much. That the CTM is portable, that other learning systems have a compatible student model.
Personalized E-Learning through Environment Design and Collaborative Activities
Mödritscher, F. and Wild, F. (2008). Personalized E-Learning through Environment Design and Collaborative Activities. HCI and Usability for Education and Work. Editor: Holzinger, Andreas.
Overview
personalized e-learning
domain model, learner model, learning goals, adaption model (personalization strategies)
shortcomings of personalized e-learning
web as a learning space, using a variety of available tools and content
sharing learning experiences useful
about empowering learners
mash-up - portal like with different widgets and applications
learner interaction model
constructivist-collaborative approach
personalized learning with MUPPLE
Overview
personalized e-learning
domain model, learner model, learning goals, adaption model (personalization strategies)
shortcomings of personalized e-learning
web as a learning space, using a variety of available tools and content
sharing learning experiences useful
about empowering learners
mash-up - portal like with different widgets and applications
learner interaction model
constructivist-collaborative approach
personalized learning with MUPPLE
Supporting collocation learning with a digital library
Wu, S., Franken, M., Witten, I. (2010). Supporting collocation learning with a digital library. Computer Assisted Language Learning, 23(1). p87-110.
Overview
utility of collocations in learning a second language
some words are only slightly differentiated by their dictionary meaning
highly differentiated by how they are commonly used
collocation knowledge is difficult to acquire, so much of it
there are a variety of suggested methods for teaching collocations
structured around noticing, retrieval and generation ideas from Nation.
use software to identify collocations out of the digital library corpus
identify collocations in a text through highlighting
cherry-picking - how students gather useful collocations while reading
use a variety of exercises to repeatedly expose the students to the collocations
Overview
utility of collocations in learning a second language
some words are only slightly differentiated by their dictionary meaning
highly differentiated by how they are commonly used
collocation knowledge is difficult to acquire, so much of it
there are a variety of suggested methods for teaching collocations
structured around noticing, retrieval and generation ideas from Nation.
use software to identify collocations out of the digital library corpus
identify collocations in a text through highlighting
cherry-picking - how students gather useful collocations while reading
use a variety of exercises to repeatedly expose the students to the collocations
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