Jantke, Klaus P. ; Grieser, Gunter ; Lange, Steffen
Hrsg.: Auer, Michael E. ; Auer, Ursula (2004)
Adaptation to the Learners' Needs and Desires by Induction and Negotiation of Hypotheses.
7th International Conference on Interactive Computer Aided Learning (ICL 2004). Villach, Austria (29.09.-01.10.2004)
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
The present paper has a quite narrow scope: High adaptivity to the learners' needs and de- sires, even in case those are only vaguely and incompletely known and may be, in addition, subject to a certain drift over time. Adaptation is implemented by hypothesizing the users' goals and, for dealing with uncertainty of the system's beliefs, suitably negotiating current hypotheses with the learner. The crux is that complex internal hypotheses of a system are in- appropriate to be shown to a human learner. There is a need for appropriate communication protocols which take into account both the system's and the user's needs. The aim of the paper is to show that high adaptivity by means of machine learning fo- cussing the learners' needs and desires does properly work. For that purpose, it is explained which new concepts and algorithmic ideas have to be invoked. Moreover, a scenario of learner-machine co-operation providing a high quality service to the human learner through 'intelligent' system adaptation is exemplied.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2004 |
| Herausgeber: | Auer, Michael E. ; Auer, Ursula |
| Autor(en): | Jantke, Klaus P. ; Grieser, Gunter ; Lange, Steffen |
| Art des Eintrags: | Bibliographie |
| Titel: | Adaptation to the Learners' Needs and Desires by Induction and Negotiation of Hypotheses |
| Sprache: | Englisch |
| Publikationsjahr: | 2 Oktober 2004 |
| Verlag: | Kassel Univ. Press |
| Buchtitel: | The future of learning: International workshop |
| Veranstaltungstitel: | 7th International Conference on Interactive Computer Aided Learning (ICL 2004) |
| Veranstaltungsort: | Villach, Austria |
| Veranstaltungsdatum: | 29.09.-01.10.2004 |
| Kurzbeschreibung (Abstract): | The present paper has a quite narrow scope: High adaptivity to the learners' needs and de- sires, even in case those are only vaguely and incompletely known and may be, in addition, subject to a certain drift over time. Adaptation is implemented by hypothesizing the users' goals and, for dealing with uncertainty of the system's beliefs, suitably negotiating current hypotheses with the learner. The crux is that complex internal hypotheses of a system are in- appropriate to be shown to a human learner. There is a need for appropriate communication protocols which take into account both the system's and the user's needs. The aim of the paper is to show that high adaptivity by means of machine learning fo- cussing the learners' needs and desires does properly work. For that purpose, it is explained which new concepts and algorithmic ideas have to be invoked. Moreover, a scenario of learner-machine co-operation providing a high quality service to the human learner through 'intelligent' system adaptation is exemplied. |
| Zusätzliche Informationen: | Konferenzband auf CD-Rom , ISBN 3-89958089-3 |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Knowledge Engineering |
| Hinterlegungsdatum: | 24 Jun 2011 16:14 |
| Letzte Änderung: | 12 Jan 2024 08:15 |
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