Virtual agent design model for a Higher Education Institution: A Kansei approach / Chandra Reka Ramachandiran
The rapid growth of Internet users and the diversity in application technologies have motivated research scholars and educators to design intelligent tools such as virtual agents as effective learning tools. However, the success of a learning tool relies primarily on the level of acceptance of th...
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| フォーマット: | 学位論文 |
| 出版事項: |
2018
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| 主題: |
| 要約: | The rapid growth of Internet users and the diversity in application technologies have
motivated research scholars and educators to design intelligent tools such as virtual agents
as effective learning tools. However, the success of a learning tool relies primarily on the
level of acceptance of the tool by the learners and the effectiveness of the tool itself. It
must be noted that the first year experience is important to new learners as failing to
optimize learners’ satisfaction can lead to higher attrition rate and it is proven that
effective teaching tools are essential to retain these stakeholders in a Higher Education
Institution (HEI). This research addresses the gap in the evidence on effective and
affective design specifications of a teaching and learning tool that deploys virtual agents.
To add on, the presence of design specific stereotypes that is very inclined to certain
community does not adhere to the heterogeneous community of learners in Higher
Education Institution. Therefore, this research aims to design and validate a Virtual Agent
Design Model (VADM) using the Kansei approach to enhance learning in a Virtual
Learning Environment (VLE) deployed in HEI that fosters multiculturalism. This
research adapts the Kansei Engineering approach which is an emerging technology used
to explore and validate the learner’s satisfaction. Further, this research highlights and
validates the learner’s emotional experience based on the positive Kansei value of the
designed virtual agents. The outcome proposes an affective design model for virtual agent
design that caters to heterogeneous community in a HEI.
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