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Cluster Assessment: A Complimentary Aspect of Cluster Learning
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, , , Faculty of Education - Université du Québec à Montréal (UQÀM), Canada

E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, in Orlando, Florida, USA ISBN 978-1-880094-83-9 Publisher: Association for the Advancement of Computing in Education (AACE), San Diego, CA

Abstract

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 transfer over the Internet. Unfortunately, the actual literature forgets to explain how to assess the knowledge transfer created by cluster learning. The assessment field of education uses three models for measurement: classical test theory, generalisibility and adaptive testing. This paper will suggest that cluster assessment could be another assessment model. Cluster assessment is a complementary aspect of cluster learning measuring knowledge acquisition of geographically dispersed groups of persons. It is a multi-level complex assessment model combining the fields of cluster analysis and assessment. This assessment model allows formative assessment, summative assessment and even certification even if teachers and students are not in presence. Cluster assessment is another milestone to physical classroom elimination by Internet technologies.

Citation

Lesage, M., Riopel, M. & Raîche, G. (2010). Cluster Assessment: A Complimentary Aspect of Cluster Learning. In J. Sanchez & K. Zhang (Eds.), Proceedings of E-Learn 2010--World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (pp. 1959-1966). Orlando, Florida, USA: Association for the Advancement of Computing in Education (AACE). Retrieved December 1, 2022 from .

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