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  1. Myanmar Institute of Information Technology
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Evaluation for Teachers' Ability and Forecasting Students' Career Based on Big Data

http://hdl.handle.net/20.500.12678/0000006814
http://hdl.handle.net/20.500.12678/0000006814
0913a223-f4d4-44db-9e21-4dfb1f660297
1839d154-6d96-47f9-9d41-43034389cd31
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Evaluation Evaluation for Teachers' Ability and Forecasting Students' Career Based on Big Data.pdf (214 KB)
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Publication type
Conference paper
Upload type
Publication
Title
Title Evaluation for Teachers' Ability and Forecasting Students' Career Based on Big Data
Language en
Publication date 2018-01-02
Authors
Hlaing May Tin
Description
This paper attempts to offer the evaluation of teacher's ability and forecasting of students' career opportunities. Teacher's ability is decided based on the student's feedback, active participation in the class, students' result in the tests and the teacher's competency. Students' feedback is and effective took for teacher evaluation resulting in teacher development. This research will also forecase the student's career based on their individual subject grade. The system analyzes the teacher's ability by using Sentiment Analysis and Student Career Forecast is based on Predictive Analytic.
Keywords
Big Data, Mining , Sentiment Analysis, Predictive Analytic career, Ability, Grade
Conference papers
2018-01-30
Proceedings of the First International Conference on Big Data Analysis and Deep Learning
University of Miyazaki, Miyazaki, Japan
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