Abstract
Grouping learners in cooperative learning can help interaction and discussion among learners. However two main problems must be settled so as to group learners. The first is how to build the learner model, which describes the attributes of learners. The second is which technique would be appropriate for learners grouping according to the selected learner model. This paper aims to propose a novel cooperative learning approach using a multiple-intelligence based learners grouping technique. This contribution is three folds: (1) a conceptual model of learners' intelligence, (2) a pre-learning process that aims at: (a) acquiring knowledge of individual learners' intelligence according to the conceptual model of learners' intelligence; (b) grouping the learners into balanced groups based on this intelligence; and (c) calculating knowledge of collective intelligence, useful for cooperative learning during the learning process, and (3) a framework architecture, in order to support the new cooperative learning approach and demonstrate its feasibility. (c) 2016 Wiley Periodicals, Inc. Comput Appl Eng Educ 24:639-650, 2016; View this article online at ; DOI