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This paper critically reviews various learning preferences and human intelligence theories and models with a particular focus on the implications for online learning. It highlights a few key models, Gardner’s multiple intelligences, Fleming and Mills’ VARK model, Honey and Mumford’s Learning Styles, and Kolb’s Experiential Learning Model, and attempts to link them to trends and opportunities in online learning with emerging technologies. By intersecting such models with online technologies, it offers instructors and instructional designers across educational sectors and situations new ways to think about addressing diverse learner needs, backgrounds, and expectations. Learning technologies are important for effective teaching, as are theories and models and theories of learning. We argue that more immense power can be derived from connections between the theories, models and learning technologies.   Resume : Cet article passe en revue de maniere critique les divers modeles et theories sur les preferences d’apprentissage et l’intelligence humaine, avec un accent particulier sur les implications qui en decoulent pour l’apprentissage en ligne. L’article presente quelques-uns des principaux modeles (les intelligences multiples de Gardner, le modele VAK de Fleming et Mills, les styles d’apprentissage de Honey et Mumford et le modele d’apprentissage experientiel de Kolb) et tente de les relier a des tendances et occasions d’apprentissage en ligne qui utilisent les nouvelles technologies. En croisant ces modeles avec les technologies Web, les instructeurs et concepteurs pedagogiques dans les secteurs de l’education ou en situation educationnelle se voient offrir de nouvelles facons de tenir compte des divers besoins, horizons et attentes des apprenants. Les technologies d’apprentissage sont importantes pour un enseignement efficace, tout comme les theories et les modeles d’apprentissage. Nous sommes d’avis qu’en etablissant des liens entre les theories, les modeles et les technologies d’apprentissage, il est possible d’obtenir un resultat plus puissant.  This article has been translated to Armenian. Click here for the translation.

Addressing diverse learner preferences and intelligences with emerging technologies: Matching models to online opportunities