%0 Journal Article %1 dimitrova2003soi %A Dimitrova, Vania %D 2003 %I IOS Press %J International Journal of Artificial Intelligence in Education %K AIED ITS eassessment education formative learner learning modelling openlearnermodeld wleformativeeassessment %N 1 %P 35-78 %T STyLE-OLM: Interactive Open Learner Modelling %U http://hal.inria.fr/docs/00/19/73/12/PDF/dimitrova03.pdf %V 13 %X There is a strong argument in Artificial Intelligence in Education which advocates that computer-based learning systems need to adapt to the needs of learners if they are to provide for effective personalised instruction (Self, 1999a). Diagnosing a learner's cognitive capacity is a crucial issue in building adaptive systems. We have explored an interactive open learner modelling (IOLM) approach which conceives diagnosis as an interactive process involving both a computer system and a learner that discuss and together construct the learner model. This paper outlines the architecture of an interactive open learner modelling system and illustrates the method in a terminological domain. We discuss an evaluative study of an IOLM demonstrator – a system called STyLE-OLM. The results from the study demonstrate potential benefits of the method for improving the quality of the learner model and providing a means for fostering reflective thinking. We argue that IOLM is a fruitful approach which may be employed in intelligent learning environments both for obtaining a better model of a learner’s cognitive state and engaging learners in reflective activities.

@article{dimitrova2003soi, abstract = {There is a strong argument in Artificial Intelligence in Education which advocates that computer-based learning systems need to adapt to the needs of learners if they are to provide for effective personalised instruction (Self, 1999a). Diagnosing a learner's cognitive capacity is a crucial issue in building adaptive systems. We have explored an interactive open learner modelling (IOLM) approach which conceives diagnosis as an interactive process involving both a computer system and a learner that discuss and together construct the learner model. This paper outlines the architecture of an interactive open learner modelling system and illustrates the method in a terminological domain. We discuss an evaluative study of an IOLM demonstrator – a system called STyLE-OLM. The results from the study demonstrate potential benefits of the method for improving the quality of the learner model and providing a means for fostering reflective thinking. We argue that IOLM is a fruitful approach which may be employed in intelligent learning environments both for obtaining a better model of a learner’s cognitive state and engaging learners in reflective activities.}, added-at = {2008-09-16T18:50:24.000+0200}, author = {Dimitrova, Vania}, biburl = {https://www.bibsonomy.org/bibtex/2acf3ddd79e7e64bfccfdce019a6f416d/yish}, interhash = {ce624cbed49a0c18fc23c15e709a2d7a}, intrahash = {acf3ddd79e7e64bfccfdce019a6f416d}, journal = {International Journal of Artificial Intelligence in Education}, keywords = {AIED ITS eassessment education formative learner learning modelling openlearnermodeld wleformativeeassessment}, number = 1, pages = {35-78}, publisher = {IOS Press}, timestamp = {2008-09-16T18:50:24.000+0200}, title = {STyLE-OLM: Interactive Open Learner Modelling}, url = {http://hal.inria.fr/docs/00/19/73/12/PDF/dimitrova03.pdf}, volume = 13, year = 2003 }