Object-Oriented Recommendation (OOR) for ubiquitous learning environments

Moushir M. El-Bishouty, Hiroaki Ogata, Gerardo Ayala, Yoneo Yano

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


This paper presents a novel recommendation methodology for learners who are doing tasks in ubiquitous learning environments. The main concept is to deal with a learning task as a set of real objects and to orient the recommendation methodology towards these objects. These objects can be detected using ubiquitous technologies. An intelligent agent can propose diverse recommendations for the learners based on the objects' attributes. These recommendations include assistance from peers, educational materials and learning tasks. In order to do this, the agent constructs and maintains a learner model based on the learner's experiences in using the real objects that conform a task. The proposed ubiquitous learning environment model, for learner modeling and recommendations, is a belief system implemented in DLV under the ASP (Answer Sets Programming) paradigm.

Original languageEnglish
Title of host publicationProceedings - ICCE 2008
Subtitle of host publication16th International Conference on Computers in Education
Number of pages8
Publication statusPublished - 2008
Externally publishedYes
Event16th International Conference on Computers in Education, ICCE 2008 - Taipei, Taiwan, Province of China
Duration: Oct 27 2008Oct 31 2008

Publication series

NameProceedings - ICCE 2008: 16th International Conference on Computers in Education


Other16th International Conference on Computers in Education, ICCE 2008
Country/TerritoryTaiwan, Province of China

All Science Journal Classification (ASJC) codes

  • Computer Science (miscellaneous)
  • Education


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