Abstract
This paper attempts to offer the evaluation of teacher’s ability and the 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. Feedback is an essential element in the learning process. Students’ feedback is an effective tool for teacher evaluation resulting in teacher development. The career opportunity available for a student is a significant area that determines the ranking of a university. This research will also forecast the student’s career based on their individual subject grade. The system analyzes the teacher’s ability by using Sentiment Analysis which is known as Opinion Mining technique. Student career forecast is based on predictive analytic. It comprises of a variety of techniques that predict future outcomes based on historical and current data.
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Moe, Z.H., San, T., Tin, H.M., Hlaing, N.Y., Tin, M.M. (2019). Evaluation for Teacher’s Ability and Forecasting Student’s Career Based on Big Data. In: Zin, T., Lin, JW. (eds) Big Data Analysis and Deep Learning Applications. ICBDL 2018. Advances in Intelligent Systems and Computing, vol 744. Springer, Singapore. https://doi.org/10.1007/978-981-13-0869-7_3
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DOI: https://doi.org/10.1007/978-981-13-0869-7_3
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