Abstract
Invention and new thoughts are discovered mainly from the student’s doubts and questions, for the most part of the word towards “why”. If questioning plays vital roles, in the same way, the sense of answering attitude incorrect approach is a big challenge for tutor and parents. At the same point in time, if this happens at the interviewing spot, the exact answer is required to fulfill the interviewer to accomplish the employability. Even though the ability of techno parameters are statistically shown as good, average or excellent. Accurate Performance of analyzation is enforced to fulfill and provide good decision over their employability through the academic event to make assured with the towering career growth. Decisions can be ruled up to access the resultant factor at any cause of situation to prolong the features with a high impact factor of “Presence of Mind” with the different attitude as Think different Methodologies
Highlights
The work done in EDM has been compiled in the different research in review summary in Educational data mining
Outdated face to face or the offline education system based on data generated in the classroom’s learning in which the education is delivered through online content based on online e activity logs Intelligent tutoring system (ITS) and Adaptive Educational Hypermedia System (AEHS) include online teaching based on students need, his or her growth rather than providing a same regulated lesson to all the students
Artificial Neural Network (ANN) was used for prediction and 74.5 %accuracy was attained in performance prediction [7]
Summary
The work done in EDM has been compiled in the different research in review summary in Educational data mining. Prediction of school students’ performance has been considered with a total of 33 parameters including socio-demographic details like (parental marital status, father’s job, mother’s job, quality of family relationship, attitude towards study (No of hour, past failure) Internet facility, family support, free time after school, health, alcohol consumption etc. It was observed that classification methods like Naïve Bayes, one R voted perception performed much better with feature selected subset than where all variables were considered. The study added few more predictive parameters like ethnicity, and Student’s current job condition to predict performance. In this case, the tree was found less accurate than regression and analysis predicting factors being taken as the health of the student, tuition availability, facilities to study at home etc
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