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ADAPTIVE LEARNING OBJECTS SEQUENCING FOR COMPETENCE-BASED LEARNING

ADAPTIVE LEARNING OBJECTS SEQUENCING FOR COMPETENCE-BASED LEARNING. Pythagoras Karampiperis , Demetrios Samspon e-mail: { pythk , sampson}@iti.gr.

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ADAPTIVE LEARNING OBJECTS SEQUENCING FOR COMPETENCE-BASED LEARNING

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  1. ADAPTIVE LEARNING OBJECTS SEQUENCING FOR COMPETENCE-BASED LEARNING Pythagoras Karampiperis, Demetrios Samspon e-mail: {pythk, sampson}@iti.gr This work is licensed under the Creative Commons Attribution-NoDerivs-NonCommercial License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nd-nc/1.0 or send a letter to Creative Commons, 559 Nathan Abbott Way, Stanford, California 94305, USA.

  2. Outline • Description • AEHS Definition • Problem Definition • Applying AEH for Competence-based Learning • Abstract Design Layers • Experiment • Conclusions

  3. Adaptive Educational Hypermedia Systems • An AEHS is defined as a Quadruple (KS, UM, OBS, AM) with the notation [Henze and Nejdl, 2003]: • the Knowledge Space (KS), that contains (a) educational resources and associated descriptive information (e.g. metadata attributes, usage attributes etc.) and (b) the structure of the domain knowledge in-hand • the User Model (UM), that describes information and data about an individual learner • the Observations (OBS) which are the result of monitoring learner’s interactions with the AEHS at runtime • the Adaptation Model (AM), that contains the rules for describing the runtime behavior of the AEHS

  4. Problem Definition • Adaptive educational hypermedia systems (AEHS) bare the potential to provide personalized learning experiences based on individual’s knowledge, skills, and competencies. • However, so far they have been confined in the provision of knowledge resources that are adaptively selected based on the structure of concepts a domain model. • Thus, in this paper • we analyze the architecture of AEHS and identify the new components needed for the provision of adaptive competence-based learning experiences • present a methodology for adaptive sequencing addressing the needs of the competence-based AEH architecture

  5. Generalized AEHS Architecture

  6. Competence-based AEHS Architecture

  7. Common AEHS Abstract Design Layers AHAM Model (De Bra, Houben, Wu, 1999) LAOS Model (Cristea, De Mooij, 2003)

  8. Change in AEHS Abstract Design Layers

  9. New Abstract Design Layers • Learner Adaptation Layer At this layer the learning path for a specific learner is selected from the LPG based on • Educational characteristics of media items (stored in metadata records) • Learner preference information (stored in the learner profile – User Model)

  10. Experiment: LO Characteristics

  11. Experiment: Learner Characteristics

  12. Experiment Setup • Competence Ontology: EuroPass Language Passport • 3 Complex Competencies • 5 Simple Competencies • about 300 language topics

  13. The EuroPass Language Passport • The Europass Language Passport • a European common model for language competencies, developed by the Council of Europe as part of the European Language Portfolio • designed to enhance the motivation of individuals to improve their ability of communicating in different languages. • supports the definition of individuals’ language skills on a six-level scale • defines a competence ontology consisting of 5 simple competencies and 3 complex competencies • each of these competencies is associated (directly or indirectly) with a list of language topics

  14. EuroPass Language Passport: Partial View

  15. Experiment Setup • Evaluation Criterion (based on Kendall’s Tau)

  16. Simulation Results

  17. Conclusions • Argued on the need updating the architecture of AEHS to better support the provision of adaptive competence-based learning experiences • Analyzed the design process of AEHS and identified how this process could be refined to reflect the new AEH architecture • Proposed a concrete methodology for adaptive LO sequencing for competence-based learning • Presented simulation results proving the feasibility of this approach

  18. Contact Details Demetrios Sampson sampson@iti.gr http://www.ask.iti.gr Informatics and Telematics Institute, Centre for Research and Technology Hellas, 42, Arkadias Street,Athens,GR-15234,Greece and Department of Technology Education and Digital Systems, University of Piraeus 150, Androutsou Street, Piraeus, GR-18534 Greece

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