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Adaptive Authoring of Adaptive Educational Hypermedia

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Title: Adaptive Authoring of Adaptive Educational Hypermedia


1
Adaptive Authoring of Adaptive Educational
Hypermedia
Databases Hypermedia Group, Department of
Informatics
  • Alexandra Cristea Lora Aroyo

AH02 May 29-31, 2002, Malaga
2
Keywords
  • Concept-based courseware
  • Authoring procedure
  • Adaptivity
  • Adaptability
  • Cooperation
  • Collaboration

A2
C2
3
Index
  • Background, Motivation and Ideas
  • AIMS MyET
  • Concept Mapping Approach to Adaptive Authoring
  • Conclusions Future research

4
Index
  • Background, Motivation and Ideas
  • AIMS MyET
  • Concept Mapping Approach to Adaptive Authoring
  • Conclusions Future research

5
Course authoring requirements
  1. designing course contents alternatives,
  2. adaptation techniques ultimately,
  3. whole user-interaction mechanism
  • adaptive courseware authoring tools should offer
    tuneable complexity automatic authoring tasks

6
Index
  • Background, Motivation and Ideas
  • MyET AIMS
  • Concept Mapping Approach to Adaptive Authoring
  • Conclusions Future research

7
Evaluation framework
  • Concept mapping paradigm
  • subject domain structure
  • course items linking
  • Content organization, maintenance presentation
  • reusability
  • student adaptation
  • General course structure
  • Text presentation and structure
  • Lesson composition
  • Authoring views
  • Student adaptation

8
General Course Structure
 
MyET
AIMS
9
Text presentation structure
  • smallest block / object in course structure
  • MyET ? text also has body obligatory
    attributes
  • short title, keywords, explanation, patterns to
    learn, conclusion exercises. (for search
    retrieval)
  • AIMS authors select domain term. keywords (CM)
  • which link directly to lessons (course structure
    of course topics and exercises).
  • presentation instructional formats to map
    course material both task- use-oriented

10
Lesson composition
  • 1- more texts (with multimedia or not)
  • MyET, ? lesson has texts attributes title,
    keywords, explanation, conclusion, combined
    exercises text object structure
  • text/lesson is generically called
  • SUBJECT in MyET or
  • TOPIC consisting of course TASKS in AIMS

11
Index
  • Background, Motivation and Ideas
  • AIMS MyET
  • Concept Mapping Approach to Adaptive Authoring
  • Conclusions Future research

12
Concept mapping
  • Concepts pieces with independent semantics

13
Lesson map
14
Lesson adaptation
15
Concept editing Traditional order
  • write sequential course text /- multimedia
  • divide organize content into concept structure
  • concept hierarchy concepts, sub-concepts
    atomic c.
  • fill-in main concepts attributes (name, content,
    etc.)
  • add adaptive features
  • rule-base, importance coefficients, weights
  • generating lesson map/sequence
  • define items to display conditions
  • generate new attributes
  • return to 3 for refined granulation
  • create lesson maps

16
write lecture with an editor
Step1
Text MM
add more content

divide content into concepts
Concept 1 Concept 2 Concept K
Step2
Co
n
cept 1,

Concept 2,

Concept k

Sub-Step2.2
father concept
Sub-Step2.1
define main attributes for ALL concepts
sub-concepts
define concept hierarchy
atomic concepts
refine granularity
Step3
add adaptive features
Step4
define secondary attributes
Step5
form new lessons with the concepts and attributes
17
Non-traditional authoring
Direct concept editing
  1. write concepts concept hierarchy
  2. define concept attributes (define main extra
    attr.s)
  3. fill-in concept attributes (write contents)
  4. add content related adaptive features regarding
    UM (design alternatives, conditions)
  5. define format (presentation means-related
    chapters)
  6. add adaptive features regarding presentation
    means (define pages)

18
Resulting layers
19
1st layer conceptual layer
  • atomic concepts sub-layer (cannot be changed
    anymore)
  • Adaptation automatization here are, e.g.,
    search of related (identical) concepts, to warn
    author that new concept s/he wants to define
    exists. Automatic concept connection can be done
    (computed by system via heuristics approved by
    author)
  • composite concepts sub-layer (sets of concepts of
    atomic granulation or larger with hierarchical
    structure)
  • Course designers/system can change hierarchy.
    Here, relatedness connections also appear. System
    can perform concept sub-concept adaptation,
    suggest relevant higher concept classes, etc.

20
Lesson layer(s)
21
2nd layer lessons
  • hierarchy of
  • chapters
  • sub-chapters
  • directed graph
  • way order in which concepts should be taught
  • lesson layer deals with concept attributes, not
    necessarily directly with concepts
  • system searches for alternative existing orders

22
Student AP layer
23
3rd layer student adaptation presentation
  • (UM - based) adaptation engine sub-layer
    specifies what should be presented and when
    (conditions sets).
  • presentation means adaptation sub-layer
    formatting info to appear nicely in page
  • ideal page lengthwhere chapters should be cut to
    form pages
  • how where multimedia presentations should
    appear
  • colors, fonts, etc.
  • in simplest authoring version functions in this
    layer should be automatic

24
Index
  • Background, Motivation and Ideas
  • AIMS MyET
  • Concept Mapping Approach to Adaptive Authoring
  • Conclusions Future research

25
Conclusions
  • a framework of a concept-based, layered
    architecture for AH in concordance with
    stratified hypermedia structure for info
    disclosure
  • showed that due to AH authoring complexity, the
    only solution is adaptive authoring for ALE
  • gave course structure CM authoring procedure
  • showed in what layers adaptation should work how

26
Future directions
  • next to adaptation support for content
    organization presentation, author info analysis
    monitoring input support tools are needed
  • support for info search retrieval, info
    visualisation (diff. perspectives), selecting,
    restructuring, annotating information with
    metadata, generation of adaptive user feedback
    user preferences info
  • for maintainable course content statistical
    analyses
  • sets basis of important step towards maturity of
    AS towards standardization-based authoring

27
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