This paper presents an adaptation scenario for tailoring instructional content towards individual learner characteristics taking into consideration his/her learning style type and subject matter motivation level. Learning resources are organized through shareable content objects (SCOs) -a small digital chunks of knowledge, independent and self described pieces of instructional material delivered via Learning Management System (LMS). We use an ontology based student model for storing student information. The scenario of designing lesson content is presented as a cross section of learning style and motivation level, based on the learning object's educational metadata. Adaptation is made through discovering those SCO's whose educational category metadata implies that SCO is to be delivered for the learning style of user. Our future work will be to provide experiment and to test our proposed guidelines in order to get feedback on how learners see the adaptive learning environments tailored to their individual learning style and motivation characteristics.

This paper presents an adaptation scenario for tailoring instructional content towards individual learner characteristics taking into consideration his/her learning style type and subject matter motivation level. Learning resources are organized through shareable content objects (SCOs) -a small digital chunks of knowledge, independent and self described pieces of instructional material delivered via Learning Management System (LMS). We use an ontology based student model for storing student information. The scenario of designing lesson content is presented as a cross section of learning style and motivation level, based on the learning object's educational metadata. Adaptation is made through discovering those SCO's whose educational category metadata implies that SCO is to be delivered for the learning style of user. Our future work will be to provide experiment and to test our proposed guidelines in order to get feedback on how learners see the adaptive learning environments tailored to their individual learning style and motivation characteristics.

Abstract-Social software tools have become an integral part of students' personal lives and their primary communication medium. Likewise, these tools are increasingly entering the enterprise world (within the recent trend known as Enterprise 2.0) and becoming a part of everyday work routines. Aiming to keep the pace with the job requirements and also to position learning as an integral part of students' life, the field of education is challenged to embrace social software. Personal Learning Environments (PLEs) emerged as a concept that makes use of social software to facilitate collaboration, knowledge sharing, group formation around common interests, active participation and reflective thinking in online learning settings. Furthermore, social software allows for establishing and maintaining one's presence in the online world. By being aware of a student's online presence, a PLE is better able to personalize the learning settings, e.g., through recommendation of content to use or people to collaborate with. Aiming to explore the potentials of online presence for the provision of recommendations in PLEs, in the scope of the OP4L project, we have develop a software solution that is based on a synergy of Semantic Web technologies, online presence and socially-oriented learning theories. In this paper we present the current results of this research work.

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In this paper we present an adaptation scenario for an e-learning system to indivudual learner needs and preferences. Learning resources are organized through shareable content objects (SCOs) -small digital chunks of knowledge, independent and self described pieces of instructional material delivered via a Learning Management System (LMS). The paper focuses on student's particular learning style as an important student learning preference that influences the success of elearning. Adaptation is made through discovering those SCO's whose educational category metadata implies that the SCO is to be delivered for the learning style of an user.