学生反馈分析及导师推荐

K. Karunya, S. Aarthy, R. Karthika, L. Jegatha Deborah
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引用次数: 4

摘要

教学的一个重要标准是分析教学对学生的效果如何。为了做这样的分析,学生的反馈可以反映教学的质量和数量。现有的评价方法只反映了意见水平,但并没有明确指出是否有必要立即改变教学,或者是否可以继续当前的教学策略。为了解决这一缺陷,提出了一种自动化的意识形态,首先分析学生的反馈意见,然后在分析的基础上引入一个推荐系统,该系统将给出一个明确的想法,即是否引入变化或继续使用目前采用的教学技术。这将为导师提供洞察意见,使他们能够做出专业合理的决策,从而提升学生的表现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Student Feedback and Recommendation to Tutors
An important criterion in teaching is to analyze how well the teaching has been effective for the student’s. In order to do such analysis student’s feedback is obtained which would depict the quality and quantity of teaching. The existing evaluation technique tells about the opinion levels but does not clearly inform is it necessary to bring immediate changes in teaching or can proceed with the current teaching strategy. To address this drawback an automated ideology is proposed to initially analyze the student feedback comments and further based on the analysis introduce a recommendation system that would give a clear idea whether to bring in changes or proceed with the currently adopted teaching technique. This would provide tutors insight about opinion and allow them to make professionally sound decision so as to upgrade the performance of students.
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