A smart Framework for identifying the training needs of Palestinian Teachers using Data Mining Techniques
Date
2020-12-17
Authors
Nidaa “Mohammad Ghazi” Hasan Farhaneh
نداء "محمد غازي" حسن فرحانه
Journal Title
Journal ISSN
Volume Title
Publisher
Al-Quds University
Abstract
This study aims to establish a Smart Framework that works as a system based on
searching for data related to teachers of the Arabic Language, Science, Mathematics
and English Language studies within specific criteria and variables, to determine the
training needs by predictions through framework using data mining AI algorithm,
which is necessary to enhance teacher’s performance in the classroom environment.
The researcher took a sample of public school teachers in the academic year 2014/2015
AD and determined the following variables: academic qualification, specialization,
stages that he teaches, an annual calendar, training courses, and their number of hours
in content areas and teaching methods.
The search was conducted using Angular as a JavaScript tool for the client-side (FE) in
the framework and the spring boot as a server-side (BE) connected to a database
MySQL and Flask Python server which is responsible for machine learning of deep
neural network (DNN) as (AI) algorithm, all servers connected via (API) in Jhipster
environment. Results of applying the prototype showed high effectiveness in
identifying training needs to improve teachers' performance in an organized and
interactive way.
The researcher recommends the Ministry of Education to use this intelligent technology
tool for its effectiveness in predicting needed training courses for a teacher to enhance
his performance, and also to organize teacher’s data in an oriented w