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3 references
Mayer distinguishes learning that supports only retention from learning that supports both retention and transfer. Using the revised Bloom taxonomy, he describes meaningful learning as knowledge construction: learners select relevant information, organise it into coherent mental representations, and integrate those representations with prior knowledge.
The article crosses two learning outcomes—remembering and transferring—with three instructional scenarios. No learning yields poor retention and transfer; rote learning yields adequate retention but weak transfer; meaningful learning yields both. Mayer then maps six categories of cognitive processes—remember, understand, apply, analyse, evaluate, and create—onto assessment tasks. The practical implication is that instruction and assessment must be aligned with the intended cognitive outcome.
If teaching emphasises isolated facts and tests only recall, students have little reason to build transferable understanding. Meaningful learning instead requires explanations, organisation, comparison, inference, application, and opportunities to use knowledge in situations that differ from the original lesson.
Novak and Cañas explain concept maps as graphical tools for representing knowledge through concepts, labelled links, and propositions. A well-formed proposition joins two or more concepts with linking words to express a meaningful relationship.
Maps are generally hierarchical, placing broad concepts above more specific ones, while cross-links reveal connections among different regions of knowledge. The method is grounded in Ausubel's theory of meaningful learning: new ideas are learned more deeply when consciously related to relevant concepts already present in a learner's cognitive structure. The authors recommend beginning with a focus question, identifying and ordering key concepts, arranging a provisional map, adding precise linking phrases, seeking cross-links, and repeatedly revising. Examples distinguish concept maps from undirected diagrams and show uses in instruction, curriculum planning, assessment, collaboration, and knowledge capture.
Because maps make relationships explicit, they can expose misconceptions and changes in understanding. The report emphasizes that mapping is an iterative meaning-making activity, not merely a polished visual product or automatic replacement for careful explanation.
Novak and Cañas explain the theory, structure, construction, and uses of concept maps. Grounded in Ausubel’s theory of meaningful learning, a map represents concepts and labelled relationships that form propositions.
Maps are usually hierarchical, organised around a focus question, and may include cross-links that reveal connections between different regions of knowledge. The authors recommend beginning with a knowledge domain and focus question, identifying and ranking concepts, arranging them provisionally, adding precise linking phrases, seeking cross-links, and revising repeatedly. A good map is not a decorative cluster of keywords: each connection should express a meaningful, examinable claim. The report describes uses in learning, curriculum design, assessment, expert-knowledge capture, collaboration, and digital knowledge models through CmapTools.
It cautions that copying a supplied map offers different cognitive work from constructing and revising one. For educators, modelling propositions, discussing criteria, and providing feedback can help learners externalise, inspect, and reorganise their understanding.
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