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Call for Papers:Vol.11 Issue.4

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Title: :  STUDENT BEHAVIOURAL DATA ANALYSIS IDENTIFY THE EDUCATIONAL FACTORS WHICH IMPACTS STUDENTS’ ACADEMIC PERFORMANCE USING ML TECHNIQUES
PaperId: :  23200
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 2 2024
DUI:    16.0415/IJARIIE-23200
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
SakshiNIE, Mysuru
Srushty G S NIE, Mysuru
YashaswiniNIE, Mysuru
Yashaswini GNIE, Mysuru
Kiran B NNIE, Mysuru

Abstract

Machine Learning
Associate Learning Algorithm, Student Behavioral Analysis, Student Performance Prediction, and Predictive modelling in Education
Identifying the various elements that have an impact on a student's academic performance and learning style. In the modern educational system, analysing students' mental health problems and poor academic performance is a challenging challenge. It is challenging to monitor student behavior and characteristics under the existing system. No technology or tool exists that forecasts or provides guidance on how to adjust a student's academic performance. In the modern educational environment, determining the relationship between the variables influencing students' performance and their academic outcomes is essential. The "Association Learning" data science approach is used by the system to identify patterns. The "apriori algorithm," "apriori TID algorithm," or "Eclat algorithm" are the methods we employ to identify patterns. The suggested system is designed to be a real-time tool that helps instructors and universities understand the behavioral patterns of their students. The system also attempts to forecast each person's performance. The "naive Bayes" machine learning method is used by the system to forecast each student's performance independently.

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IJARIIE Sakshi, Srushty G S , Yashaswini, Yashaswini G, and Kiran B N. "STUDENT BEHAVIOURAL DATA ANALYSIS IDENTIFY THE EDUCATIONAL FACTORS WHICH IMPACTS STUDENTS’ ACADEMIC PERFORMANCE USING ML TECHNIQUES" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 2 2024 Page 3168-3173
MLA Sakshi, Srushty G S , Yashaswini, Yashaswini G, and Kiran B N. "STUDENT BEHAVIOURAL DATA ANALYSIS IDENTIFY THE EDUCATIONAL FACTORS WHICH IMPACTS STUDENTS’ ACADEMIC PERFORMANCE USING ML TECHNIQUES." International Journal Of Advance Research And Innovative Ideas In Education 10.2(2024) : 3168-3173.
APA Sakshi, Srushty G S , Yashaswini, Yashaswini G, & Kiran B N. (2024). STUDENT BEHAVIOURAL DATA ANALYSIS IDENTIFY THE EDUCATIONAL FACTORS WHICH IMPACTS STUDENTS’ ACADEMIC PERFORMANCE USING ML TECHNIQUES. International Journal Of Advance Research And Innovative Ideas In Education, 10(2), 3168-3173.
Chicago Sakshi, Srushty G S , Yashaswini, Yashaswini G, and Kiran B N. "STUDENT BEHAVIOURAL DATA ANALYSIS IDENTIFY THE EDUCATIONAL FACTORS WHICH IMPACTS STUDENTS’ ACADEMIC PERFORMANCE USING ML TECHNIQUES." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 2 (2024) : 3168-3173.
Oxford Sakshi, Srushty G S , Yashaswini, Yashaswini G, and Kiran B N. 'STUDENT BEHAVIOURAL DATA ANALYSIS IDENTIFY THE EDUCATIONAL FACTORS WHICH IMPACTS STUDENTS’ ACADEMIC PERFORMANCE USING ML TECHNIQUES', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, 2024, p. 3168-3173. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/STUDENT_BEHAVIOURAL_DATA_ANALYSIS_IDENTIFY_THE_EDUCATIONAL_FACTORS_WHICH_IMPACTS_STUDENTS’_ACADEMIC_PERFORMANCE_USING_ML_TECHNIQUES_ijariie23200.pdf (Accessed : ).
Harvard Sakshi, Srushty G S , Yashaswini, Yashaswini G, and Kiran B N. (2024) 'STUDENT BEHAVIOURAL DATA ANALYSIS IDENTIFY THE EDUCATIONAL FACTORS WHICH IMPACTS STUDENTS’ ACADEMIC PERFORMANCE USING ML TECHNIQUES', International Journal Of Advance Research And Innovative Ideas In Education, 10(2), pp. 3168-3173IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/STUDENT_BEHAVIOURAL_DATA_ANALYSIS_IDENTIFY_THE_EDUCATIONAL_FACTORS_WHICH_IMPACTS_STUDENTS’_ACADEMIC_PERFORMANCE_USING_ML_TECHNIQUES_ijariie23200.pdf (Accessed : )
IEEE Sakshi, Srushty G S , Yashaswini, Yashaswini G, and Kiran B N, "STUDENT BEHAVIOURAL DATA ANALYSIS IDENTIFY THE EDUCATIONAL FACTORS WHICH IMPACTS STUDENTS’ ACADEMIC PERFORMANCE USING ML TECHNIQUES," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, pp. 3168-3173, Mar-App 2024. [Online]. Available: http://ijariie.com/AdminUploadPdf/STUDENT_BEHAVIOURAL_DATA_ANALYSIS_IDENTIFY_THE_EDUCATIONAL_FACTORS_WHICH_IMPACTS_STUDENTS’_ACADEMIC_PERFORMANCE_USING_ML_TECHNIQUES_ijariie23200.pdf [Accessed : ].
Turabian Sakshi, Srushty G S , Yashaswini, Yashaswini G, and Kiran B N. "STUDENT BEHAVIOURAL DATA ANALYSIS IDENTIFY THE EDUCATIONAL FACTORS WHICH IMPACTS STUDENTS’ ACADEMIC PERFORMANCE USING ML TECHNIQUES." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 2 ().
Vancouver Sakshi, Srushty G S , Yashaswini, Yashaswini G, and Kiran B N. STUDENT BEHAVIOURAL DATA ANALYSIS IDENTIFY THE EDUCATIONAL FACTORS WHICH IMPACTS STUDENTS’ ACADEMIC PERFORMANCE USING ML TECHNIQUES. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(2) : 3168-3173. Available from: http://ijariie.com/AdminUploadPdf/STUDENT_BEHAVIOURAL_DATA_ANALYSIS_IDENTIFY_THE_EDUCATIONAL_FACTORS_WHICH_IMPACTS_STUDENTS’_ACADEMIC_PERFORMANCE_USING_ML_TECHNIQUES_ijariie23200.pdf
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