Understanding honest feedbacks and opinions in academic environments

COMPUTE '11: Proceedings of the Fourth Annual ACM Bangalore Conference(2011)

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摘要
Student evaluation is an important component of any higher education. Online student feedbacks and opinions have become increasingly popular means of gathering reviews and judging the quality of various services offered by an institution. This paper focuses on studying student behaviour while reporting their feedbacks. Particularly, we investigate the reliability of quantitative features through numerical ratings that students offer, by estimating the linguistic evidence from the free text that accompany the feature space. Our hypotheses is that higher the evidence of a feature in the free text, higher the quantitative numerical ratings. This study has been validated from students' feedbacks and opinions of our institution as well.
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关键词
numerical rating,quantitative feature,linguistic evidence,student behaviour,free text,student evaluation,higher education,online student feedbacks,honest feedbacks,feature space,quantitative numerical rating,academic environment,opinion mining
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