Adaptive knowledge maps by Márta Turcsányi-Szabó & Péter Kaszás Eötvös Loránd University, Faculty of Science, Informatics Methodology Group, Budapest, HUNGARY 1

Adaptive knowledge maps

Márta Turcsányi-Szabóassosiate professor

turcsanyine@ludens.elte.hu

Péter KaszásPhD student

p_kaszas@ludens.elte.hu

Eötvös Loránd University Informatics Methodology Group

Adaptive knowledge maps by Márta Turcsányi-Szabó & Péter Kaszás Eötvös Loránd University, Faculty of Science, Informatics Methodology Group, Budapest, HUNGARY 2

Internet-based materials

• Difficult of navigate in the topic structure

• Lack of personalized guidance

• No information about the usability and

• Special needs are rarely satisfied

Adaptive knowledge maps by Márta Turcsányi-Szabó & Péter Kaszás Eötvös Loránd University, Faculty of Science, Informatics Methodology Group, Budapest, HUNGARY 3

New requirements

• Tracing students’ personal workflow

• Giving feedback to the students

• Offering suggestion to the most effective route in the material

• Pick and change the less effective items in the materials

• Suit the material to the changing needs

Adaptive knowledge maps by Márta Turcsányi-Szabó & Péter Kaszás Eötvös Loránd University, Faculty of Science, Informatics Methodology Group, Budapest, HUNGARY 4

An example: English grammar course

• Analysis of atomic links of free Internet-based materials in quality educational sites

• 2 main types of materials: grammar explanations and exercises

• Materials in 3 levels

• Synthesis of selected atomic links into hierarchical course structure usingCoraler maps

Adaptive knowledge maps by Márta Turcsányi-Szabó & Péter Kaszás Eötvös Loránd University, Faculty of Science, Informatics Methodology Group, Budapest, HUNGARY 5

Coraler mapsEnglish grammar course represented by Coraler map

(deepest level of the map)

Adaptive knowledge maps by Márta Turcsányi-Szabó & Péter Kaszás Eötvös Loránd University, Faculty of Science, Informatics Methodology Group, Budapest, HUNGARY 6

Criteria-oriented learning

Level testNew colouredmap

Practice

Small testsNew coloured

map

Default map

Adaptive knowledge maps by Márta Turcsányi-Szabó & Péter Kaszás Eötvös Loránd University, Faculty of Science, Informatics Methodology Group, Budapest, HUNGARY 7

Default mapSubmap of the topic Tenses

Adaptive knowledge maps by Márta Turcsányi-Szabó & Péter Kaszás Eötvös Loránd University, Faculty of Science, Informatics Methodology Group, Budapest, HUNGARY 8

Criteria-oriented learning

Level testNew colouredmap

Practice

Small testsNew coloured

map

Adaptive knowledge maps by Márta Turcsányi-Szabó & Péter Kaszás Eötvös Loránd University, Faculty of Science, Informatics Methodology Group, Budapest, HUNGARY 9

Level test

• More than 50 questions in a test(database of over 800 questions)

• Questions in each topic

• Typical exercises of the particular topic

• Several kinds of questions(gap filling, sentence constructing, multiple choice, etc.)

Adaptive knowledge maps by Márta Turcsányi-Szabó & Péter Kaszás Eötvös Loránd University, Faculty of Science, Informatics Methodology Group, Budapest, HUNGARY 10

Criteria-oriented learning

Level testNew colouredmap

Practice

Small testsNew coloured

map

Adaptive knowledge maps by Márta Turcsányi-Szabó & Péter Kaszás Eötvös Loránd University, Faculty of Science, Informatics Methodology Group, Budapest, HUNGARY 11

New coloured mapPersonalized submap of the topic Tenses

Adaptive knowledge maps by Márta Turcsányi-Szabó & Péter Kaszás Eötvös Loránd University, Faculty of Science, Informatics Methodology Group, Budapest, HUNGARY 12

Criteria-oriented learning

Level testNew colouredmap

Practice

Small testsNew coloured

map

Adaptive knowledge maps by Márta Turcsányi-Szabó & Péter Kaszás Eötvös Loránd University, Faculty of Science, Informatics Methodology Group, Budapest, HUNGARY 13

Practice• Over 500 links to free materials• Exercises with self-checking• Practicing the particular topic

• Applied sites:• ESL Lounge: ESL Lesson Plans, ESL Materials for Teaching English

http://www.esl-lounge.com/• EnglishClub English Grammar• http://grammar.englishclub.com/index.html• ELC Study Zone• http://web2.uvcs.uvic.ca/elc/studyzone/index.htm• EduFind• http://www.edufind.com/english/grammar/index.cfm• About ESL sites• http://esl.about.com/mbody.htm

Adaptive knowledge maps by Márta Turcsányi-Szabó & Péter Kaszás Eötvös Loránd University, Faculty of Science, Informatics Methodology Group, Budapest, HUNGARY 14

Criteria-oriented learning

Level testNew colouredmap

Practice

Small testsNew coloured

map

Adaptive knowledge maps by Márta Turcsányi-Szabó & Péter Kaszás Eötvös Loránd University, Faculty of Science, Informatics Methodology Group, Budapest, HUNGARY 15

Small tests

• 3 questions in a test

• All questions in the specific topic

• Its style is like the level test

Adaptive knowledge maps by Márta Turcsányi-Szabó & Péter Kaszás Eötvös Loránd University, Faculty of Science, Informatics Methodology Group, Budapest, HUNGARY 16

Criteria-oriented learning

Level testNew colouredmap

Practice

Small testsNew coloured

map

Adaptive knowledge maps by Márta Turcsányi-Szabó & Péter Kaszás Eötvös Loránd University, Faculty of Science, Informatics Methodology Group, Budapest, HUNGARY 17

New coloured mapPersonalized submap of the topic Tenses

Adaptive knowledge maps by Márta Turcsányi-Szabó & Péter Kaszás Eötvös Loránd University, Faculty of Science, Informatics Methodology Group, Budapest, HUNGARY 18

Action research process

• Pilot system between Feb – April 2003

• Data were collected about students’ activity

• The material and the test database were also examined

Adaptive knowledge maps by Márta Turcsányi-Szabó & Péter Kaszás Eötvös Loránd University, Faculty of Science, Informatics Methodology Group, Budapest, HUNGARY 19

Evaluation of the learners

• Workflows of over 50 students were analyzed

• Average efficiency: 64.0%

• Average improvement: 5.4%

Adaptive knowledge maps by Márta Turcsányi-Szabó & Péter Kaszás Eötvös Loránd University, Faculty of Science, Informatics Methodology Group, Budapest, HUNGARY 20

Evaluation of the material

• The most improvements: Conditionals

• The most mistakes: General adverbs, Adjectives

• The most certain knowledge: Possessive pronouns, Adverbs of place

Adaptive knowledge maps by Márta Turcsányi-Szabó & Péter Kaszás Eötvös Loránd University, Faculty of Science, Informatics Methodology Group, Budapest, HUNGARY 21

Evaluation of the question-types

• The most successful: multiple choice (75.0%)

• The least successful:Sentence rewriting (23.3%)

Significant difference between the questions needed active knowledge and the ones needed just passive knowledge.

Adaptive knowledge maps by Márta Turcsányi-Szabó & Péter Kaszás Eötvös Loránd University, Faculty of Science, Informatics Methodology Group, Budapest, HUNGARY 22

After the evaluation

• Create student clusters to suggest personal route in the material

• Change improper test questions

• Replace the items of the materials that are not effective enough

• Extend the variety of the material

Adaptive knowledge maps by Márta Turcsányi-Szabó & Péter Kaszás Eötvös Loránd University, Faculty of Science, Informatics Methodology Group, Budapest, HUNGARY 23

Adaption within the Colabs projectComplex site with many activities

Which route is the best?

Adaptive knowledge maps by Márta Turcsányi-Szabó & Péter Kaszás Eötvös Loránd University, Faculty of Science, Informatics Methodology Group, Budapest, HUNGARY 24

Adaption within the Colabs projectCoraler map shows the structure of the portal

Adaptive knowledge maps by Márta Turcsányi-Szabó & Péter Kaszás Eötvös Loránd University, Faculty of Science, Informatics Methodology Group, Budapest, HUNGARY 25

Adaption within the Colabs projectCoraler map is used to trace students’ activities

Borders show the visited tasks of the student

Adaptive knowledge maps by Márta Turcsányi-Szabó & Péter Kaszás Eötvös Loránd University, Faculty of Science, Informatics Methodology Group, Budapest, HUNGARY 26

Adaption within the Colabs projectIndividual knowledge maps contain:• Accessed trajectories• Time spent on a particular task• Test results• Uploaded portfolio• Points of collaboration

Using the knowledge maps we wish to investigate:• What the favourite activities are• Which nodes invoke collaboration• The validity of the knowledge map• The clustering of students routes

Adaptive knowledge maps by Márta Turcsányi-Szabó & Péter Kaszás Eötvös Loránd University, Faculty of Science, Informatics Methodology Group, Budapest, HUNGARY 27

Adaption within the Colabs project

Aims:• Help novice students in a highly visual form• Personal knowledge maps for students to review

their activities and results• Personal knowledge maps for teachers to review

the students’ activities and results• Provide on-going advice for students

Adaptive knowledge maps by Márta Turcsányi-Szabó & Péter Kaszás Eötvös Loránd University, Faculty of Science, Informatics Methodology Group, Budapest, HUNGARY 28

InformationTeaM Labhttp://team-lab.ini.hu

Coraler Corporationhttp://www.coraler.com

Péter Kaszásp_kaszas@ludens.elte.hu