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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/20.500.12678/00000068140913a223-f4d4-44db-9e21-4dfb1f660297
1839d154-6d96-47f9-9d41-43034389cd31
| Name / File | License | Actions |
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| Publication type | ||||||
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| 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 | ||||||