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Educational Technologies WS2006 Cognitive Tools Martin Homik [email_address] Deutsches Forschungszentrum für Künstliche Intelligenz
Approximate Plan of the Course  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Literature (look back “Media Principles) ,[object Object],[object Object],[object Object]
How do People Learn? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Mental processes transform information into knowledge and skills in memory
How e-Lessons Affect Human Learning ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Knowledge from Long-term-memory New Information Active Processing Remaining Capacity
Media Principles (Summary) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Other means to reduce cognitive load ,[object Object],[object Object],[object Object],[object Object]
Learning Theories (look back) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Mapping Technologies to Learning Theories Objectivism Behaviorism Constructivism Cognitivism Motor Skills Cognitive Tools Programmed Instruction ITS Jonassen, 1981
What is a Cognitive Tool?
Definition ,[object Object],[object Object],[object Object],[object Object],[object Object]
Functions of Cognitive Tools ,[object Object],[object Object],[object Object]
Key Questions ,[object Object],[object Object],[object Object]
Discovery Learning ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Dilemma ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Discovery Environment Cognitive Tool 1 Cognitive Tool 2 ? ?
Discovery Described as Dual Search Spaces ,[object Object],[object Object],Hypothesis space Experiment space ,[object Object],[object Object]
Search Strategies in Dual Search Spaces ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Decomposition of Hypothesis Space ,[object Object],[object Object],[object Object],[object Object],Learner hypothesis space Target conceptual model Effective learner search space Universal hypothesis space Contains all hypotheses the learner possibly knows of and considers as good candidates  De Jong, Van Joolingen, 1998
Explaining Unsuccessful Discovery ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Hypothesis Generation Sketchpad (SMISLE) ,[object Object],[object Object],[object Object]
Monitoring Experiments ,[object Object],[object Object],[object Object]
Hooking Intelligent Support ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Hooking Intelligent Support: Feedback ,[object Object],[object Object],[object Object],[object Object]
SimQuest Learning Environment ,[object Object],[object Object],[object Object]
SimQuest Learning Architecture Simulation Context Instructional Measures Learner Interface Simulation Model
Simulations
SimNerv ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Driving Academy
Flight Simulator, Auckland, New Zealand
G eneric  L arge  A ircraft  S imulator  S ystem Project
Learning Diaries
Typical Situation
Identify/Close Learning Gaps ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Electronic Learning Diaries ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Example
Example
Cognitive Prompts ,[object Object],[object Object],[object Object]
Metacognitive Prompts ,[object Object],[object Object],[object Object]
Concept Mapping
Goals ,[object Object],[object Object],[object Object],[object Object],[object Object],By courtesy of Sigmar-Olaf Tergan,  IWM - KMRC
Types of spatial configurations (1) sequence cluster By courtesy of Sigmar-Olaf Tergan,  IWM - KMRC
Types of spatial configurations (2) hierarchy By courtesy of Sigmar-Olaf Tergan,  IWM - KMRC
Types of spatial configurations (3) Web-like organisations (see Wiegemann, Dansereau et al., 1992) By courtesy of Sigmar-Olaf Tergan,  IWM - KMRC
Types of spatial configurations (4) web-representation part part example example exercise By courtesy of Sigmar-Olaf Tergan,  IWM - KMRC
Representation focuses ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],By courtesy of Sigmar-Olaf Tergan,  IWM - KMRC
Spatial representations statements ,[object Object],[object Object],[object Object],By courtesy of Sigmar-Olaf Tergan,  IWM - KMRC
Spatial representations statements ,[object Object],[object Object],[object Object],By courtesy of Sigmar-Olaf Tergan,  IWM - KMRC
What are Mind Maps? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Example: Mind Map with “Mind Manger”
Example Mind Map
Example Mind Map
What are Concept Maps? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Example: Hierarchical Concept Map
Example: Concept Map
Functions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Use for learning and instruction ,[object Object],[object Object],[object Object],[object Object],[object Object],By courtesy of Sigmar-Olaf Tergan,  IWM - KMRC
Use for Knowledge Management ,[object Object],[object Object],[object Object],[object Object],[object Object],By courtesy of Sigmar-Olaf Tergan,  IWM - KMRC
Mapping Tools (1) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],By courtesy of Sigmar-Olaf Tergan,  IWM - KMRC
iCMap ,[object Object],[object Object],[object Object],Demo
AM: Knowledge Representation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],S 1 S 2 S 3 D 1 D 2 D 3 T 1 T 2 T 3 Exc 1 Exc 2 Exc 3 Exa 1 Exa 2 Exa 3
AM: Knowledge Representation: ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],S 1 S 2 S 3 D 1 D 2 D 3 T 1 T 2 T 3 Exc 1 Exc 2 Exc 3 Exa 1 Exa 2 Exa 3 for for for for for for for for for
AM: Knowledge Representation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],S 1 S 2 S 3 D 1 D 2 D 3 T 1 T 2 T 3 Exc 1 Exc 2 Exc 3 Exa 1 Exa 2 Exa 3 for for Domain prerequisite Domain prerequisite Domain prerequisite
AM: Knowledge Representation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],S 1 S 2 S 3 D 1 D 2 D 3 T 1 T 2 T 3 Exc 1 Exc 2 Exc 3 Exa 1 Exa 2 Exa 3 for against isA
Verification ,[object Object],[object Object],[object Object]
Deductive Relation: Transitivity ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],S 1 S 2 S 3 D 1 D 2 D 3 T 1 T 2 T 3 Exc 1 Exc 2 Exc 3 Exa 1 Exa 2 Exa 3 isA isA isA
Deductive Relation: Transitivity ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],S 1 S 2 S 3 D 1 D 2 D 3 T 1 T 2 T 3 Exc 1 Exc 2 Exc 3 Exa 1 Exa 2 Exa 3 Domain prerequisite Domain prerequisite Domain prerequisite
Deductive Relation: Equivalence ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],S 1 S 2 S 3 D 1 D 2 D 3 T 1 T 2 T 3 Exc 1 Exc 2 Exc 3 Exa 1 Exa 2 Exa 3 isA isA for for equivalence equivalence
Fault Tolerance ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],S 1 S 2 D 1 D 2 D 3 T 1 T 2 T 3 Exc 1 Exc 2 Exc 3 Exa 1 Exa 2 Exa 3 for isA isA for for for
iCMap Example
iCMap Feedback
Local Feedback
Take Home Message ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Literature ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Literature ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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