SlideShare uma empresa Scribd logo
1 de 13
Lawrie Hunter Kochi University of Technology http://www.core.kochi-tech.ac.jp/hunter/ Concept mapping decision matrix JALTCALL June 6, 2009
 
Mapping Decision Matrix 0904002 ________________________ Software vs. tangibles -tangibles first, because quick, and to encourage revisions (paper is cheap) -software for presentation, sharing, editing, beauty _______________________________ Training -extensive contained warmups -for Teacher's observation -L's need support? -L's need constraint? -for peer commenting -look quickly at shapes only -look carefully at node content and links Mapping type mind maps / relation maps (Novakian) / structure maps 1. Mind maps -for amassing 'thoughts' -relations only by association -for rearranging, clustering, prioritizing (software good for this) 2. Relation maps (Novakian maps) -for relating concepts in articulately  related  pairs -CMC debate going on now about declarative reading or not (cf. Tifi) 3. Structure maps (e.g. ISmaps) -for representation of syntactic structures at the level of -sentence -paragraph -short technical summary articles -not necessarily one unified map -background information may be -a separate map -a layer (font color, sidebar, etc.) -persuasion may be 'picture frames' or title bars or submaps Constraint 1. Architectural constraint - by size - by content  2. Rhetorical constraint -by rhetorical device limitations 3. Relational constraint -by Novakianism Software vs. tangibles Training Mapping type Constraint
Mapping Decision Matrix 0904002 ________________________ Software vs. tangibles -tangibles first -because quick -to encourage revisions (paper is cheap) -software for presentation, sharing, editing, beauty Software vs. tangibles Training Mapping type Constraint
Mapping Decision Matrix 0904002 ________________________ Training -extensive  contained  warmups -for Teacher's observation -L's need support? -L's need constraint? -for peer commenting -look quickly at shapes only -look carefully at node content and links Software vs. tangibles Training Mapping type Constraint
Mapping Decision Matrix 0904002 ________________________ Mapping type -mind maps  -relation maps (Novakian)  -structure maps Software vs. tangibles Training Mapping type Constraint mind maps relation maps structure maps
Mapping Decision Matrix 0904002 ________________________ Mapping type 1. Mind maps -for amassing 'thoughts' -relations only by association -for rearranging, clustering, prioritizing (software good for this) Software vs. tangibles Training Mapping type Constraint mind maps relation maps structure maps
Mapping Decision Matrix 0904002 ________________________ Mapping type 2. Relation maps (Novakian maps) -for relating concepts in articulately  related  pairs -CMC debate going on now about declarative reading or not (cf. Tifi) Software vs. tangibles Training Mapping type Constraint mind maps relation maps structure maps
Mapping Decision Matrix 0904002 ________________________ Mapping type 3. Structure maps (e.g. ISmaps) -for representation of syntactic structures at the level of -sentence -paragraph -short technical summary articles -not necessarily one unified map -background information may be -a separate map -a layer (font color, sidebar, etc.) -persuasion may be 'picture frames' or title bars or submaps Software vs. tangibles Training Mapping type Constraint mind maps relation maps structure maps
Mapping Decision Matrix 0904002 ________________________ Constraint 1. Architectural constraint - by size - by content  2. Rhetorical constraint -by rhetorical device limitations 3. Relational constraint -by Novakianism Software vs. tangibles Training Mapping type Constraint structural rhetorical relational
Mapping Decision Matrix 0904002 ________________________ Constraint 1. Architectural constraint - by size - by content Software vs. tangibles Training Mapping type Constraint architectural rhetorical relational
Mapping Decision Matrix 0904002 ________________________ Constraint 2. Rhetorical constraint -by rhetorical device limitations Software vs. tangibles Training Mapping type Constraint architectural rhetorical relational
Mapping Decision Matrix 0904002 ________________________ Constraint 3. Relational constraint -by Novakianism Software vs. tangibles Training Mapping type Constraint architectural rhetorical relational

Mais conteúdo relacionado

Semelhante a 05. Concept mapping decision matrix for L2 teaching

Challenges Faced by Novices While Developing and Designing the Visualization ...
Challenges Faced by Novices While Developing and Designing the Visualization ...Challenges Faced by Novices While Developing and Designing the Visualization ...
Challenges Faced by Novices While Developing and Designing the Visualization ...IRJET Journal
 
IRJET- Image Seeker:Finding Similar Images
IRJET- Image Seeker:Finding Similar ImagesIRJET- Image Seeker:Finding Similar Images
IRJET- Image Seeker:Finding Similar ImagesIRJET Journal
 
IRJET- Popularity based Recommender Sytsem for Google Maps
IRJET-  	  Popularity based Recommender Sytsem for Google MapsIRJET-  	  Popularity based Recommender Sytsem for Google Maps
IRJET- Popularity based Recommender Sytsem for Google MapsIRJET Journal
 
IRJET - An Overview of Machine Learning Algorithms for Data Science
IRJET - An Overview of Machine Learning Algorithms for Data ScienceIRJET - An Overview of Machine Learning Algorithms for Data Science
IRJET - An Overview of Machine Learning Algorithms for Data ScienceIRJET Journal
 
IRJET- Sentiment Analysis to Segregate Attributes using Machine Learning Tech...
IRJET- Sentiment Analysis to Segregate Attributes using Machine Learning Tech...IRJET- Sentiment Analysis to Segregate Attributes using Machine Learning Tech...
IRJET- Sentiment Analysis to Segregate Attributes using Machine Learning Tech...IRJET Journal
 
Sivrama Sarma - Profile_July_2015
Sivrama Sarma - Profile_July_2015Sivrama Sarma - Profile_July_2015
Sivrama Sarma - Profile_July_2015Siva Rama Sarma
 
GENERATION OF DATABASE AND GUI IN SHAPE MATCHING TECHNIQUE | J4RV3I12001
GENERATION OF DATABASE AND GUI IN SHAPE MATCHING TECHNIQUE | J4RV3I12001GENERATION OF DATABASE AND GUI IN SHAPE MATCHING TECHNIQUE | J4RV3I12001
GENERATION OF DATABASE AND GUI IN SHAPE MATCHING TECHNIQUE | J4RV3I12001Journal For Research
 
Fcv core sawhney
Fcv core sawhneyFcv core sawhney
Fcv core sawhneyzukun
 
Licence Plate Recognition Using Supervised Learning and Deep Learning
Licence Plate Recognition Using Supervised Learning and Deep LearningLicence Plate Recognition Using Supervised Learning and Deep Learning
Licence Plate Recognition Using Supervised Learning and Deep LearningIRJET Journal
 
IRJET- Semantic Retrieval of Trademarks based on Text and Images Conceptu...
IRJET-  	  Semantic Retrieval of Trademarks based on Text and Images Conceptu...IRJET-  	  Semantic Retrieval of Trademarks based on Text and Images Conceptu...
IRJET- Semantic Retrieval of Trademarks based on Text and Images Conceptu...IRJET Journal
 
IRJET - Multi-Label Road Scene Prediction for Autonomous Vehicles using Deep ...
IRJET - Multi-Label Road Scene Prediction for Autonomous Vehicles using Deep ...IRJET - Multi-Label Road Scene Prediction for Autonomous Vehicles using Deep ...
IRJET - Multi-Label Road Scene Prediction for Autonomous Vehicles using Deep ...IRJET Journal
 
Learning from similarity and information extraction from structured documents...
Learning from similarity and information extraction from structured documents...Learning from similarity and information extraction from structured documents...
Learning from similarity and information extraction from structured documents...Infrrd
 
Data Annotation_Cars.pptx
Data Annotation_Cars.pptxData Annotation_Cars.pptx
Data Annotation_Cars.pptxssuserfb92ae
 
Imtiaz khan data_science_analytics
Imtiaz khan data_science_analyticsImtiaz khan data_science_analytics
Imtiaz khan data_science_analyticsimtiaz khan
 
IMAGE CAPTIONING USING TRANSFORMER: VISIONAID
IMAGE CAPTIONING USING TRANSFORMER: VISIONAIDIMAGE CAPTIONING USING TRANSFORMER: VISIONAID
IMAGE CAPTIONING USING TRANSFORMER: VISIONAIDIRJET Journal
 
Image Captioning based on Artificial Intelligence
Image Captioning based on Artificial IntelligenceImage Captioning based on Artificial Intelligence
Image Captioning based on Artificial IntelligenceIRJET Journal
 
Performance Analysis on Fingerprint Image Compression Using K-SVD-SR and SPIHT
Performance Analysis on Fingerprint Image Compression Using K-SVD-SR and SPIHTPerformance Analysis on Fingerprint Image Compression Using K-SVD-SR and SPIHT
Performance Analysis on Fingerprint Image Compression Using K-SVD-SR and SPIHTIRJET Journal
 
IRJET- Diverse Approaches for Document Clustering in Product Development Anal...
IRJET- Diverse Approaches for Document Clustering in Product Development Anal...IRJET- Diverse Approaches for Document Clustering in Product Development Anal...
IRJET- Diverse Approaches for Document Clustering in Product Development Anal...IRJET Journal
 

Semelhante a 05. Concept mapping decision matrix for L2 teaching (20)

Challenges Faced by Novices While Developing and Designing the Visualization ...
Challenges Faced by Novices While Developing and Designing the Visualization ...Challenges Faced by Novices While Developing and Designing the Visualization ...
Challenges Faced by Novices While Developing and Designing the Visualization ...
 
IRJET- Image Seeker:Finding Similar Images
IRJET- Image Seeker:Finding Similar ImagesIRJET- Image Seeker:Finding Similar Images
IRJET- Image Seeker:Finding Similar Images
 
IRJET- Popularity based Recommender Sytsem for Google Maps
IRJET-  	  Popularity based Recommender Sytsem for Google MapsIRJET-  	  Popularity based Recommender Sytsem for Google Maps
IRJET- Popularity based Recommender Sytsem for Google Maps
 
IRJET - An Overview of Machine Learning Algorithms for Data Science
IRJET - An Overview of Machine Learning Algorithms for Data ScienceIRJET - An Overview of Machine Learning Algorithms for Data Science
IRJET - An Overview of Machine Learning Algorithms for Data Science
 
IRJET- Sentiment Analysis to Segregate Attributes using Machine Learning Tech...
IRJET- Sentiment Analysis to Segregate Attributes using Machine Learning Tech...IRJET- Sentiment Analysis to Segregate Attributes using Machine Learning Tech...
IRJET- Sentiment Analysis to Segregate Attributes using Machine Learning Tech...
 
Sivrama Sarma - Profile_July_2015
Sivrama Sarma - Profile_July_2015Sivrama Sarma - Profile_July_2015
Sivrama Sarma - Profile_July_2015
 
GENERATION OF DATABASE AND GUI IN SHAPE MATCHING TECHNIQUE | J4RV3I12001
GENERATION OF DATABASE AND GUI IN SHAPE MATCHING TECHNIQUE | J4RV3I12001GENERATION OF DATABASE AND GUI IN SHAPE MATCHING TECHNIQUE | J4RV3I12001
GENERATION OF DATABASE AND GUI IN SHAPE MATCHING TECHNIQUE | J4RV3I12001
 
GENESIIS Porjects
GENESIIS PorjectsGENESIIS Porjects
GENESIIS Porjects
 
Fcv core sawhney
Fcv core sawhneyFcv core sawhney
Fcv core sawhney
 
Licence Plate Recognition Using Supervised Learning and Deep Learning
Licence Plate Recognition Using Supervised Learning and Deep LearningLicence Plate Recognition Using Supervised Learning and Deep Learning
Licence Plate Recognition Using Supervised Learning and Deep Learning
 
IRJET- Semantic Retrieval of Trademarks based on Text and Images Conceptu...
IRJET-  	  Semantic Retrieval of Trademarks based on Text and Images Conceptu...IRJET-  	  Semantic Retrieval of Trademarks based on Text and Images Conceptu...
IRJET- Semantic Retrieval of Trademarks based on Text and Images Conceptu...
 
IRJET - Multi-Label Road Scene Prediction for Autonomous Vehicles using Deep ...
IRJET - Multi-Label Road Scene Prediction for Autonomous Vehicles using Deep ...IRJET - Multi-Label Road Scene Prediction for Autonomous Vehicles using Deep ...
IRJET - Multi-Label Road Scene Prediction for Autonomous Vehicles using Deep ...
 
Learning from similarity and information extraction from structured documents...
Learning from similarity and information extraction from structured documents...Learning from similarity and information extraction from structured documents...
Learning from similarity and information extraction from structured documents...
 
Sentiment based text segmentation
Sentiment based text segmentationSentiment based text segmentation
Sentiment based text segmentation
 
Data Annotation_Cars.pptx
Data Annotation_Cars.pptxData Annotation_Cars.pptx
Data Annotation_Cars.pptx
 
Imtiaz khan data_science_analytics
Imtiaz khan data_science_analyticsImtiaz khan data_science_analytics
Imtiaz khan data_science_analytics
 
IMAGE CAPTIONING USING TRANSFORMER: VISIONAID
IMAGE CAPTIONING USING TRANSFORMER: VISIONAIDIMAGE CAPTIONING USING TRANSFORMER: VISIONAID
IMAGE CAPTIONING USING TRANSFORMER: VISIONAID
 
Image Captioning based on Artificial Intelligence
Image Captioning based on Artificial IntelligenceImage Captioning based on Artificial Intelligence
Image Captioning based on Artificial Intelligence
 
Performance Analysis on Fingerprint Image Compression Using K-SVD-SR and SPIHT
Performance Analysis on Fingerprint Image Compression Using K-SVD-SR and SPIHTPerformance Analysis on Fingerprint Image Compression Using K-SVD-SR and SPIHT
Performance Analysis on Fingerprint Image Compression Using K-SVD-SR and SPIHT
 
IRJET- Diverse Approaches for Document Clustering in Product Development Anal...
IRJET- Diverse Approaches for Document Clustering in Product Development Anal...IRJET- Diverse Approaches for Document Clustering in Product Development Anal...
IRJET- Diverse Approaches for Document Clustering in Product Development Anal...
 

Mais de Lawrie Hunter

Academic writing: pointers for G-cube PhD students 23-01.12
Academic writing: pointers for G-cube PhD students 23-01.12Academic writing: pointers for G-cube PhD students 23-01.12
Academic writing: pointers for G-cube PhD students 23-01.12Lawrie Hunter
 
Overview of CPC writing support for G-cube doctoral students 23.01.12
Overview of CPC writing support for G-cube doctoral students 23.01.12Overview of CPC writing support for G-cube doctoral students 23.01.12
Overview of CPC writing support for G-cube doctoral students 23.01.12Lawrie Hunter
 
CPC services for GRIPS PhD students
CPC services for GRIPS PhD studentsCPC services for GRIPS PhD students
CPC services for GRIPS PhD studentsLawrie Hunter
 
The expanding palette: emergent CALL paradigms
The expanding palette: emergent CALL paradigmsThe expanding palette: emergent CALL paradigms
The expanding palette: emergent CALL paradigmsLawrie Hunter
 
Dimensions of Media Object Comprehensibility
Dimensions of Media Object ComprehensibilityDimensions of Media Object Comprehensibility
Dimensions of Media Object ComprehensibilityLawrie Hunter
 
December 12, 2019 GRIPS readability workshop
December 12, 2019 GRIPS readability workshopDecember 12, 2019 GRIPS readability workshop
December 12, 2019 GRIPS readability workshopLawrie Hunter
 
GRIPS mapping workshop (Hunter) 19.11.21 v2
GRIPS mapping workshop (Hunter) 19.11.21 v2GRIPS mapping workshop (Hunter) 19.11.21 v2
GRIPS mapping workshop (Hunter) 19.11.21 v2Lawrie Hunter
 
GRIPS staff workshop: Description / Classification
GRIPS staff workshop: Description / ClassificationGRIPS staff workshop: Description / Classification
GRIPS staff workshop: Description / ClassificationLawrie Hunter
 
GRIPS speech workshop 1 2019: pausing and linking (pdf)
GRIPS speech workshop 1 2019: pausing and linking (pdf)GRIPS speech workshop 1 2019: pausing and linking (pdf)
GRIPS speech workshop 1 2019: pausing and linking (pdf)Lawrie Hunter
 
GRIPS concept mapping workshop Hunter 18.11.22
GRIPS concept mapping workshop Hunter 18.11.22GRIPS concept mapping workshop Hunter 18.11.22
GRIPS concept mapping workshop Hunter 18.11.22Lawrie Hunter
 
GRIPS Academic Writing Workshop: process, not crisis
GRIPS Academic Writing Workshop: process, not crisisGRIPS Academic Writing Workshop: process, not crisis
GRIPS Academic Writing Workshop: process, not crisisLawrie Hunter
 
Introduction to concept mapping 180522 GRIPS
Introduction to concept mapping 180522 GRIPSIntroduction to concept mapping 180522 GRIPS
Introduction to concept mapping 180522 GRIPSLawrie Hunter
 
GRIPS Speech Workshop I: intonation and pausing
GRIPS Speech Workshop I: intonation and pausingGRIPS Speech Workshop I: intonation and pausing
GRIPS Speech Workshop I: intonation and pausingLawrie Hunter
 
Publishability workshop: Writing readable academic text
Publishability workshop: Writing readable academic textPublishability workshop: Writing readable academic text
Publishability workshop: Writing readable academic textLawrie Hunter
 
Hunter's Readability Workshop 2018.02.13
Hunter's Readability Workshop 2018.02.13Hunter's Readability Workshop 2018.02.13
Hunter's Readability Workshop 2018.02.13Lawrie Hunter
 
Topic-stress in academic writing
Topic-stress in academic writingTopic-stress in academic writing
Topic-stress in academic writingLawrie Hunter
 
Cohesion for academic writing (sentence-sentence)
Cohesion for academic writing (sentence-sentence)Cohesion for academic writing (sentence-sentence)
Cohesion for academic writing (sentence-sentence)Lawrie Hunter
 
Concept mapping for complexity management
Concept mapping for complexity managementConcept mapping for complexity management
Concept mapping for complexity managementLawrie Hunter
 
Language as a disguise for information 6. RST mapping
Language as a disguise for information 6. RST mappingLanguage as a disguise for information 6. RST mapping
Language as a disguise for information 6. RST mappingLawrie Hunter
 
Language as a disguise for information 5. make it hard for the reader
Language as a disguise for information 5. make it hard for the readerLanguage as a disguise for information 5. make it hard for the reader
Language as a disguise for information 5. make it hard for the readerLawrie Hunter
 

Mais de Lawrie Hunter (20)

Academic writing: pointers for G-cube PhD students 23-01.12
Academic writing: pointers for G-cube PhD students 23-01.12Academic writing: pointers for G-cube PhD students 23-01.12
Academic writing: pointers for G-cube PhD students 23-01.12
 
Overview of CPC writing support for G-cube doctoral students 23.01.12
Overview of CPC writing support for G-cube doctoral students 23.01.12Overview of CPC writing support for G-cube doctoral students 23.01.12
Overview of CPC writing support for G-cube doctoral students 23.01.12
 
CPC services for GRIPS PhD students
CPC services for GRIPS PhD studentsCPC services for GRIPS PhD students
CPC services for GRIPS PhD students
 
The expanding palette: emergent CALL paradigms
The expanding palette: emergent CALL paradigmsThe expanding palette: emergent CALL paradigms
The expanding palette: emergent CALL paradigms
 
Dimensions of Media Object Comprehensibility
Dimensions of Media Object ComprehensibilityDimensions of Media Object Comprehensibility
Dimensions of Media Object Comprehensibility
 
December 12, 2019 GRIPS readability workshop
December 12, 2019 GRIPS readability workshopDecember 12, 2019 GRIPS readability workshop
December 12, 2019 GRIPS readability workshop
 
GRIPS mapping workshop (Hunter) 19.11.21 v2
GRIPS mapping workshop (Hunter) 19.11.21 v2GRIPS mapping workshop (Hunter) 19.11.21 v2
GRIPS mapping workshop (Hunter) 19.11.21 v2
 
GRIPS staff workshop: Description / Classification
GRIPS staff workshop: Description / ClassificationGRIPS staff workshop: Description / Classification
GRIPS staff workshop: Description / Classification
 
GRIPS speech workshop 1 2019: pausing and linking (pdf)
GRIPS speech workshop 1 2019: pausing and linking (pdf)GRIPS speech workshop 1 2019: pausing and linking (pdf)
GRIPS speech workshop 1 2019: pausing and linking (pdf)
 
GRIPS concept mapping workshop Hunter 18.11.22
GRIPS concept mapping workshop Hunter 18.11.22GRIPS concept mapping workshop Hunter 18.11.22
GRIPS concept mapping workshop Hunter 18.11.22
 
GRIPS Academic Writing Workshop: process, not crisis
GRIPS Academic Writing Workshop: process, not crisisGRIPS Academic Writing Workshop: process, not crisis
GRIPS Academic Writing Workshop: process, not crisis
 
Introduction to concept mapping 180522 GRIPS
Introduction to concept mapping 180522 GRIPSIntroduction to concept mapping 180522 GRIPS
Introduction to concept mapping 180522 GRIPS
 
GRIPS Speech Workshop I: intonation and pausing
GRIPS Speech Workshop I: intonation and pausingGRIPS Speech Workshop I: intonation and pausing
GRIPS Speech Workshop I: intonation and pausing
 
Publishability workshop: Writing readable academic text
Publishability workshop: Writing readable academic textPublishability workshop: Writing readable academic text
Publishability workshop: Writing readable academic text
 
Hunter's Readability Workshop 2018.02.13
Hunter's Readability Workshop 2018.02.13Hunter's Readability Workshop 2018.02.13
Hunter's Readability Workshop 2018.02.13
 
Topic-stress in academic writing
Topic-stress in academic writingTopic-stress in academic writing
Topic-stress in academic writing
 
Cohesion for academic writing (sentence-sentence)
Cohesion for academic writing (sentence-sentence)Cohesion for academic writing (sentence-sentence)
Cohesion for academic writing (sentence-sentence)
 
Concept mapping for complexity management
Concept mapping for complexity managementConcept mapping for complexity management
Concept mapping for complexity management
 
Language as a disguise for information 6. RST mapping
Language as a disguise for information 6. RST mappingLanguage as a disguise for information 6. RST mapping
Language as a disguise for information 6. RST mapping
 
Language as a disguise for information 5. make it hard for the reader
Language as a disguise for information 5. make it hard for the readerLanguage as a disguise for information 5. make it hard for the reader
Language as a disguise for information 5. make it hard for the reader
 

Último

ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITY
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITYISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITY
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITYKayeClaireEstoconing
 
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATIONTHEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATIONHumphrey A Beña
 
Music 9 - 4th quarter - Vocal Music of the Romantic Period.pptx
Music 9 - 4th quarter - Vocal Music of the Romantic Period.pptxMusic 9 - 4th quarter - Vocal Music of the Romantic Period.pptx
Music 9 - 4th quarter - Vocal Music of the Romantic Period.pptxleah joy valeriano
 
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...Nguyen Thanh Tu Collection
 
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxiammrhaywood
 
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)lakshayb543
 
Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Celine George
 
Q4-PPT-Music9_Lesson-1-Romantic-Opera.pptx
Q4-PPT-Music9_Lesson-1-Romantic-Opera.pptxQ4-PPT-Music9_Lesson-1-Romantic-Opera.pptx
Q4-PPT-Music9_Lesson-1-Romantic-Opera.pptxlancelewisportillo
 
Transaction Management in Database Management System
Transaction Management in Database Management SystemTransaction Management in Database Management System
Transaction Management in Database Management SystemChristalin Nelson
 
AUDIENCE THEORY -CULTIVATION THEORY - GERBNER.pptx
AUDIENCE THEORY -CULTIVATION THEORY -  GERBNER.pptxAUDIENCE THEORY -CULTIVATION THEORY -  GERBNER.pptx
AUDIENCE THEORY -CULTIVATION THEORY - GERBNER.pptxiammrhaywood
 
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTSGRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTSJoshuaGantuangco2
 
Active Learning Strategies (in short ALS).pdf
Active Learning Strategies (in short ALS).pdfActive Learning Strategies (in short ALS).pdf
Active Learning Strategies (in short ALS).pdfPatidar M
 
Karra SKD Conference Presentation Revised.pptx
Karra SKD Conference Presentation Revised.pptxKarra SKD Conference Presentation Revised.pptx
Karra SKD Conference Presentation Revised.pptxAshokKarra1
 
Difference Between Search & Browse Methods in Odoo 17
Difference Between Search & Browse Methods in Odoo 17Difference Between Search & Browse Methods in Odoo 17
Difference Between Search & Browse Methods in Odoo 17Celine George
 
ANG SEKTOR NG agrikultura.pptx QUARTER 4
ANG SEKTOR NG agrikultura.pptx QUARTER 4ANG SEKTOR NG agrikultura.pptx QUARTER 4
ANG SEKTOR NG agrikultura.pptx QUARTER 4MiaBumagat1
 
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdf
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdfInclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdf
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdfTechSoup
 
INTRODUCTION TO CATHOLIC CHRISTOLOGY.pptx
INTRODUCTION TO CATHOLIC CHRISTOLOGY.pptxINTRODUCTION TO CATHOLIC CHRISTOLOGY.pptx
INTRODUCTION TO CATHOLIC CHRISTOLOGY.pptxHumphrey A Beña
 
ICS2208 Lecture6 Notes for SL spaces.pdf
ICS2208 Lecture6 Notes for SL spaces.pdfICS2208 Lecture6 Notes for SL spaces.pdf
ICS2208 Lecture6 Notes for SL spaces.pdfVanessa Camilleri
 

Último (20)

ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITY
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITYISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITY
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITY
 
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATIONTHEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
 
Music 9 - 4th quarter - Vocal Music of the Romantic Period.pptx
Music 9 - 4th quarter - Vocal Music of the Romantic Period.pptxMusic 9 - 4th quarter - Vocal Music of the Romantic Period.pptx
Music 9 - 4th quarter - Vocal Music of the Romantic Period.pptx
 
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
 
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
 
YOUVE GOT EMAIL_FINALS_EL_DORADO_2024.pptx
YOUVE GOT EMAIL_FINALS_EL_DORADO_2024.pptxYOUVE GOT EMAIL_FINALS_EL_DORADO_2024.pptx
YOUVE GOT EMAIL_FINALS_EL_DORADO_2024.pptx
 
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
 
Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17
 
Q4-PPT-Music9_Lesson-1-Romantic-Opera.pptx
Q4-PPT-Music9_Lesson-1-Romantic-Opera.pptxQ4-PPT-Music9_Lesson-1-Romantic-Opera.pptx
Q4-PPT-Music9_Lesson-1-Romantic-Opera.pptx
 
Transaction Management in Database Management System
Transaction Management in Database Management SystemTransaction Management in Database Management System
Transaction Management in Database Management System
 
AUDIENCE THEORY -CULTIVATION THEORY - GERBNER.pptx
AUDIENCE THEORY -CULTIVATION THEORY -  GERBNER.pptxAUDIENCE THEORY -CULTIVATION THEORY -  GERBNER.pptx
AUDIENCE THEORY -CULTIVATION THEORY - GERBNER.pptx
 
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTSGRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
 
Active Learning Strategies (in short ALS).pdf
Active Learning Strategies (in short ALS).pdfActive Learning Strategies (in short ALS).pdf
Active Learning Strategies (in short ALS).pdf
 
FINALS_OF_LEFT_ON_C'N_EL_DORADO_2024.pptx
FINALS_OF_LEFT_ON_C'N_EL_DORADO_2024.pptxFINALS_OF_LEFT_ON_C'N_EL_DORADO_2024.pptx
FINALS_OF_LEFT_ON_C'N_EL_DORADO_2024.pptx
 
Karra SKD Conference Presentation Revised.pptx
Karra SKD Conference Presentation Revised.pptxKarra SKD Conference Presentation Revised.pptx
Karra SKD Conference Presentation Revised.pptx
 
Difference Between Search & Browse Methods in Odoo 17
Difference Between Search & Browse Methods in Odoo 17Difference Between Search & Browse Methods in Odoo 17
Difference Between Search & Browse Methods in Odoo 17
 
ANG SEKTOR NG agrikultura.pptx QUARTER 4
ANG SEKTOR NG agrikultura.pptx QUARTER 4ANG SEKTOR NG agrikultura.pptx QUARTER 4
ANG SEKTOR NG agrikultura.pptx QUARTER 4
 
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdf
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdfInclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdf
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdf
 
INTRODUCTION TO CATHOLIC CHRISTOLOGY.pptx
INTRODUCTION TO CATHOLIC CHRISTOLOGY.pptxINTRODUCTION TO CATHOLIC CHRISTOLOGY.pptx
INTRODUCTION TO CATHOLIC CHRISTOLOGY.pptx
 
ICS2208 Lecture6 Notes for SL spaces.pdf
ICS2208 Lecture6 Notes for SL spaces.pdfICS2208 Lecture6 Notes for SL spaces.pdf
ICS2208 Lecture6 Notes for SL spaces.pdf
 

05. Concept mapping decision matrix for L2 teaching

  • 1. Lawrie Hunter Kochi University of Technology http://www.core.kochi-tech.ac.jp/hunter/ Concept mapping decision matrix JALTCALL June 6, 2009
  • 2.  
  • 3. Mapping Decision Matrix 0904002 ________________________ Software vs. tangibles -tangibles first, because quick, and to encourage revisions (paper is cheap) -software for presentation, sharing, editing, beauty _______________________________ Training -extensive contained warmups -for Teacher's observation -L's need support? -L's need constraint? -for peer commenting -look quickly at shapes only -look carefully at node content and links Mapping type mind maps / relation maps (Novakian) / structure maps 1. Mind maps -for amassing 'thoughts' -relations only by association -for rearranging, clustering, prioritizing (software good for this) 2. Relation maps (Novakian maps) -for relating concepts in articulately related pairs -CMC debate going on now about declarative reading or not (cf. Tifi) 3. Structure maps (e.g. ISmaps) -for representation of syntactic structures at the level of -sentence -paragraph -short technical summary articles -not necessarily one unified map -background information may be -a separate map -a layer (font color, sidebar, etc.) -persuasion may be 'picture frames' or title bars or submaps Constraint 1. Architectural constraint - by size - by content 2. Rhetorical constraint -by rhetorical device limitations 3. Relational constraint -by Novakianism Software vs. tangibles Training Mapping type Constraint
  • 4. Mapping Decision Matrix 0904002 ________________________ Software vs. tangibles -tangibles first -because quick -to encourage revisions (paper is cheap) -software for presentation, sharing, editing, beauty Software vs. tangibles Training Mapping type Constraint
  • 5. Mapping Decision Matrix 0904002 ________________________ Training -extensive contained warmups -for Teacher's observation -L's need support? -L's need constraint? -for peer commenting -look quickly at shapes only -look carefully at node content and links Software vs. tangibles Training Mapping type Constraint
  • 6. Mapping Decision Matrix 0904002 ________________________ Mapping type -mind maps -relation maps (Novakian) -structure maps Software vs. tangibles Training Mapping type Constraint mind maps relation maps structure maps
  • 7. Mapping Decision Matrix 0904002 ________________________ Mapping type 1. Mind maps -for amassing 'thoughts' -relations only by association -for rearranging, clustering, prioritizing (software good for this) Software vs. tangibles Training Mapping type Constraint mind maps relation maps structure maps
  • 8. Mapping Decision Matrix 0904002 ________________________ Mapping type 2. Relation maps (Novakian maps) -for relating concepts in articulately related pairs -CMC debate going on now about declarative reading or not (cf. Tifi) Software vs. tangibles Training Mapping type Constraint mind maps relation maps structure maps
  • 9. Mapping Decision Matrix 0904002 ________________________ Mapping type 3. Structure maps (e.g. ISmaps) -for representation of syntactic structures at the level of -sentence -paragraph -short technical summary articles -not necessarily one unified map -background information may be -a separate map -a layer (font color, sidebar, etc.) -persuasion may be 'picture frames' or title bars or submaps Software vs. tangibles Training Mapping type Constraint mind maps relation maps structure maps
  • 10. Mapping Decision Matrix 0904002 ________________________ Constraint 1. Architectural constraint - by size - by content 2. Rhetorical constraint -by rhetorical device limitations 3. Relational constraint -by Novakianism Software vs. tangibles Training Mapping type Constraint structural rhetorical relational
  • 11. Mapping Decision Matrix 0904002 ________________________ Constraint 1. Architectural constraint - by size - by content Software vs. tangibles Training Mapping type Constraint architectural rhetorical relational
  • 12. Mapping Decision Matrix 0904002 ________________________ Constraint 2. Rhetorical constraint -by rhetorical device limitations Software vs. tangibles Training Mapping type Constraint architectural rhetorical relational
  • 13. Mapping Decision Matrix 0904002 ________________________ Constraint 3. Relational constraint -by Novakianism Software vs. tangibles Training Mapping type Constraint architectural rhetorical relational