Modeling a Quality of Experience aware distance educational system
Date Issued
2014
Author(s)
Vasileva-Stojanovska, Tatjana
Abstract
A successful distance educational system has to provide certain
commonly accepted educational objectives in order to assure its high
acceptability and successful implementation. One of the main objectives of any
distance educational system is to bring the educational material and its
presentation closer to the individual student's needs thus delivering high Quality
of Experience (QoE). The overall QoE is a subjective perception impacted by
factors from objective technical nature and subjective nature. In this paper we
propose few educational scenarios that enable dynamical presentation of
educational services and content delivery to the students depending on their
personal affinities. Students can choose the preferred media presentation and
after completion of the course an evaluation and comparison of the student’s
performances on the different educational scenarios is made. The aim of the
study is to explore the impact of the Quality of Experience (QoE) on the
performance and thus the overall Quality of Learning (QoL) of students. For
comparative analysis of the educational scenarios, t-test statistic is proposed. In
addition, we propose a neuro fuzzy inference system for QoE evaluation,
utilizing an ANFIS controller to compare and predict the expected QoE based
on the input parameters affecting the QoE. The model should provide an aid to
design of educational courses and media presentation in a way that aims toward
student satisfaction and educational benefits for the current and future users of
distance educational systems. This paper is focused on the description of the
proposed QoE aware educational system, leaving the discussion of the
experimental results for future work.
commonly accepted educational objectives in order to assure its high
acceptability and successful implementation. One of the main objectives of any
distance educational system is to bring the educational material and its
presentation closer to the individual student's needs thus delivering high Quality
of Experience (QoE). The overall QoE is a subjective perception impacted by
factors from objective technical nature and subjective nature. In this paper we
propose few educational scenarios that enable dynamical presentation of
educational services and content delivery to the students depending on their
personal affinities. Students can choose the preferred media presentation and
after completion of the course an evaluation and comparison of the student’s
performances on the different educational scenarios is made. The aim of the
study is to explore the impact of the Quality of Experience (QoE) on the
performance and thus the overall Quality of Learning (QoL) of students. For
comparative analysis of the educational scenarios, t-test statistic is proposed. In
addition, we propose a neuro fuzzy inference system for QoE evaluation,
utilizing an ANFIS controller to compare and predict the expected QoE based
on the input parameters affecting the QoE. The model should provide an aid to
design of educational courses and media presentation in a way that aims toward
student satisfaction and educational benefits for the current and future users of
distance educational systems. This paper is focused on the description of the
proposed QoE aware educational system, leaving the discussion of the
experimental results for future work.
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