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Adapting to intelligence profile in an adaptive educational system

Interacting with Computers, 2006
Learning characteristics, as informed by research, vary for each individual learner. Research suggests that knowledge is processed and represented in different ways and that students prefer to use different types of resources in distinct ways. However, building Adaptive Educational systems that adapt to different learning characteristics is not easy ...
Declan Kelly, Brendan Tangney
openaire   +2 more sources

Profiles of career adaptivity and their relations with adaptability, adapting, and adaptation

Journal of Vocational Behavior, 2017
Career adaptivity is the first factor in a chain of putative effects posited in the career construction theory (CCT): Adaptivity → Adaptability → Adapting → Adaptation. Hitherto, research on adaptivity has chiefly used variable-centered strategies to investigate the independent effects of adaptivity-related traits on adaptability, adapting, and ...
Perera, Harsha N., McIlveen, Peter
openaire   +2 more sources

Profiling over Adaptive Ranges

International Symposium on Code Generation and Optimization (CGO'06), 2006
Modern computer systems are called on to deal with billions of events every second, whether they are instructions executed, memory locations accessed, or packets forwarded. This presents a serious challenge to those who seek to quantify, analyze, or optimize such systems, because important trends and behaviors may easily be lost in a sea of data.
Shashidhar Mysore   +4 more
openaire   +2 more sources

Adaptive algorithms for active sound-profiling

IEEE Transactions on Audio, Speech and Language Processing, 2006
Three novel adaptive algorithms are proposed for use in active sound-profiling, all based on the filtered-X least mean square (FXLMS) approach. The algorithms are analyzed for their stability properties and control effort load, and are compared with the currently used adaptive noise equalizer least mean square (ANE-LMS) algorithm.
Rees, L.E., Elliott, S.J.
openaire   +3 more sources

Adaptive Web Usage Profiling

2006
Web usage models and profiles capture significant interests and trends from past accesses. They are used to improve user experience, say through recommendation of pages, pre-fetching of pages, etc. While browsing behavior changes dynamically over time, many web usage modeling techniques are static due to prohibitive model compilation times and also ...
Bhushan Shankar Suryavanshi   +2 more
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Topic taxonomy adaptation for group profiling

ACM Transactions on Knowledge Discovery from Data, 2008
A topic taxonomy is an effective representation that describes salient features of virtual groups or online communities. A topic taxonomy consists of topic nodes. Each internal node is defined by its vertical path (i.e., ancestor and child nodes) and its horizonal list of attributes (or terms).
Lei Tang 0001   +4 more
openaire   +1 more source

Adaptive Transferred-profile Likelihood Learning

2016 International Joint Conference on Neural Networks (IJCNN), 2016
The recent success of representation learning is built upon the learning of relevant features, in particular from unlabelled data available in different domains. This raises the question of how to transfer and reuse such knowledge effectively so that the learning of a new task can be made easier or be improved.
Son Ngoc Tran, Artur S. d'Avila Garcez
openaire   +2 more sources

The adaptability of Career Decision-Making Profiles.

Journal of Counseling Psychology, 2012
The Career Decision-Making Profiles questionnaire (CDMP; Gati, Landman, Davidovitch, Asulin-Peretz, & Gadassi, 2010) uses a new model for characterizing the way individuals make decisions based on the simultaneous use of 11 dimensions. The present study investigated which pole of each dimension is more adaptive.
Reuma, Gadassi   +2 more
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