1. Introduction to Concept Mapping & the Relation Element Theory D.P. Tegarden all materials made available for educational purposes only not to be used for commercial purposes without written permission

2. Why Concept Mapping? Rote Learning (Memorization) vs. Meaningful Learning

3. Learning occurs when new knowledge is added to an existing knowledge structure Knowledge is constructed; NOT discovered Three requirements –Relevant prior knowledge –Meaningful material –Learner must choose to learn meaningfully

4. What is a Concept Map? Tool for organizing and representing knowledge Directed Graph-based Knowledge Representation –Concepts a perceived regularity in events or objects, or records of events or objects, designated by a label –Propositions (Linking Words) statements about some object or event in the universe, either naturally occurring or constructed contain two or more concepts connected with other words to form a sentence

8. Relation Element Theory Relationship Classifications Class InclusionPart-WholeContrastsSimilarsCase Relationships (AKindOf/HasKinds)(APartOf/HasParts)(OppositeOf)(SimilarTo)(AssociatedWith) PerceptualFunctional ObjectsContradictorySynonymityAgent Actions FunctionalFunctional LocationContraryDimensional SimilarityAgent Instrument StatePlacesDirectionalAttribute SimilarityAgent Object GeographicalOrganizationReverseNecessary AttributionAction Recipient ActivityMeasureAsymmetric ContraryAction Instrument ActionCollectionIncompatibleInvited Attribution IngredientsPseudoantonym Group

9. Relation Element Theory Relationships, Definitions, and Examples Class Inclusion: AKindOf vs. HasKinds Relationships in this classification involve one concept that “subsumes” the other concept. For example, Horse  Animal; Rose  Flower; Chair  Furniture, Hammer  Tool; Polio  Disease; Fear  Emotion; Chess  Game; Theft  Crime; Virginia  State; Lecture  Talk; Fry  Cook Part Whole: APartOf vs HasParts Relationships in this classification involve one concept that “envelops” the other concept. For example, Engine  Car; Leaf  Tree; Stove  Kitchen; Kitchen  House; Tree  Forest; Blacksburg  Virginia; Virginia Tech  ACC; Cheese  Pizza; Wood  Table; Professor  Faculty; Second  Minute  Hour  Day  Week  Month  Year Contrasts: OppositeOf Relationships in this classification involve concepts that oppose or contrast each other. For example, Old  Young; Happy  Sad; Alive  Dead; Male  Female; Attack  Defend; Buy  Sell; Front  Back; Right  Left; Happy  Morbid; Hot  Cool; Dry  Moist; Popular  Shy; Believe  Deny Similars: SimilarTo Relationships in this classification involve concepts that are similar to each other. For example: Car  Auto; Buy  Purchase; Smile  Laugh; Annoy  Torment; Bachelor  Unmarried; Tower  High; Rake  Fork; Painting  Movie Case Relationships: AssociatedWith Relationships in this classification involve concepts that use, make, or are described by other concepts. For example, Artist  Paint; Dog  Barking; Farmer  Tractor; Soldier  Gun; Baker  Bread; Sculpter  Clay; Sit  Chair; Hunt  Prey; Cut  Knife; Drink  Cup; Food  Tasty; Employee  Skill