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Searching for:- Author=Martin Lesage
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Interfaces Modelization in Computerized Adaptive Testing (CAT) for Learning Optimization
World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (ELEARN) 2007:1 , Oct 15, 2007
World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (ELEARN) 2007:1 , Oct 15, 2007
Rapid Internet expansion over the past years caused the development of the online learning human-computer interfaces (HCI) and collaborative work fields. Many E-learning systems were designed with a rigid structure. The online learning system Web...
Extending Moodle Functionalities to Adaptive Testing Framework
World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (ELEARN) 2007:1 , Oct 15, 2007
World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (ELEARN) 2007:1 , Oct 15, 2007
E-learning has advanced considerably in the last decades allowing the interoperability of different systems and different kinds of adaptation to the student's profile or the learning objectives. But, some of its aspects, such as E-testing are still...
Collaborative Mode Complex Assessment Tasks in Authentic Context: Theoretical Background, Internet Implementation and Validation
World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (ELEARN) 2010:1 , Oct 18, 2010
World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (ELEARN) 2010:1 , Oct 18, 2010
This paper wants to develop complex assessment tasks theory by expanding the field of learning assessment and especially computer based assessment by the implementation of collaborative mode complex assessment tasks in authentic context. These tasks ...
Cluster Assessment: A Complimentary Aspect of Cluster Learning
World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (ELEARN) 2010:1 , Oct 18, 2010
World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (ELEARN) 2010:1 , Oct 18, 2010
Rapid expansion of mobile learning technologies allow more people to benefit of their collaborative work capabilities. Cluster learning enables geographically dispersed groups of persons to be involved in learning process by knowledge or data...
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