Knowledge Representation Submitted to: Dr. Bruce Porter Teaching from Concept Maps: A Progress...
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Transcript of Knowledge Representation Submitted to: Dr. Bruce Porter Teaching from Concept Maps: A Progress...
Knowledge RepresentationSubmitted to: Dr. Bruce Porter
Teaching from Concept Maps: A Progress Report
Patrick Christmas, Karen Fullam, Ted Gaubert
Teaching with Concept Maps
Learning through Concept Maps• Teachers can clarify lesson plans• Student learning is reinforced by seeing and
building concept maps Betty’s Brain
• Student builds concept map from text• Program answers questions based on map
construction• Student evaluates correctness of map from
program responses Our Problem
• How to teach from a concept map?
How to teach from a concept map?
What ontology of teaching concepts can be defined and integrated into a concept map to • define teaching strategy?• embed “supplemental” information?
How can the concept map enable student navigation?
How can student comprehension be assessed and modeled to assist navigation?
Approach
Define Teaching Ontology• Allow teacher to create meta-concept map to
describe teaching relationships between concepts
Create Student Interface• Use concept map structure to enable student
navigation
Assess Student Comprehension• Construct activities and questions to obtain
student feedback• Model student understanding to guide user toward
topics not yet mastered
Teaching Ontology
Teacher must be able to specify:• Supplemental information
– Equations– Figures– Questions for Evaluation
• Information about how to teach the material
– Sequencing– Importance– Level of Detail
Information Concepts
Information Description TextualDescription AudioDescription Figure Diagram Flowchart ConceptMap Chart BarChart ScatterPlot PieChart Table Drawing Photograph Equation Code Assertion Definition Postulate Theorem Lemma
Evaluation Exercise ConceptExercise ComputationExercise
Slot Descriptions
ContentLocation: Gives location of this informationRange: UrlCardinality: 1-to-1
Importance: Determines learning importance relative to other conceptsRange: IntegerCardinality: N-to-1
Detail: Determines hiding hierarchyRange: IntegerCardinality: N-to-1
Sequence: Determines order in which different concepts are presented when interface-directed
Range: IntegerCardinality: 1-to-1
Reinforcement: Determines order and extent to which material about same concept is presented
Range: IntegerCardinality: 1-to-1
User Interface MockupExpand and
contract nodes to vary level of detail shown
Node color coding
estimates student
comprehension
Detail pane communicates
node information and quiz questions
Supports varied media types
“Web browser” navigation
Assessing Student Comprehension
Dynamically Create User Profile• Maximize learning efficiency and retention
– Learning Style– Individual concepts tagged with ‘mastery index’
• Check for retention at later date• Schedule and plan future material
Model student understanding to guide user toward topics not yet mastered
Assess Student Comprehension
Methods of obtaining profile data:• Comparing organization of CMAP to a
predefined expert CMAP• Interactive questioning
– Questions generated due to errors or differences found between expert CMAP
– User answers predefined questions and ranks their subjective level of understanding
– Question previously learned material to check level of retention
Future Progress
Teaching ontology• Final definition of concepts and slots• Integration of “teaching concept map” with
“subject concept map”
Student Interface• Define algorithm for navigation and display based
on teaching ontology
Assessing Student Comprehension• Develop model of student comprehension• Relate comprehension to reinforcement navigation