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Title: :  Student Frustration Level Estimation Using Machine Learning
PaperId: :  10282
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 5 Issue 3 2019
DUI:    16.0415/IJARIIE-10282
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Poorva KurhadeKJCOEMR, Pune.
Komal KalbhorKJCOEMR, Pune.
Rupali MohiteKJCOEMR, Pune.
Pooja TalathiKJCOEMR, Pune.
Prof. Reshma PatilKJCOEMR, Pune.

Abstract

Computer Engineering
K-Nearest Neighbor, Entropy Estimation, Colloborative filtering, Decision Tree.
Most of the time students often get frustrated due to long class hours and hectic schedule in the academic process. To maintain their enthusiasm up it always needs to motivate them in the right direction, otherwise the student may end up failing in the exams and in turn it may yield in discontinuation of the current education . There are no particular methodologies are existed to measure their frustration level so that right action can be taken to boost them up. Some finger counting methodologies are existed which are used to measure the frustration level by using some data mining techniques. So to boost the level of precision proposed model uses the student's behavior by providing some tests. The scores of these tests are used in the machine learning process using Decision tree to evaluate the frustration level of the student. Based on this frustration level, proposed model displays some motivational suggestions to the student to come out of the current frustration level.

Citations

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IJARIIE Poorva Kurhade, Komal Kalbhor, Rupali Mohite, Pooja Talathi, and Prof. Reshma Patil. "Student Frustration Level Estimation Using Machine Learning" International Journal Of Advance Research And Innovative Ideas In Education Volume 5 Issue 3 2019 Page 533-540
MLA Poorva Kurhade, Komal Kalbhor, Rupali Mohite, Pooja Talathi, and Prof. Reshma Patil. "Student Frustration Level Estimation Using Machine Learning." International Journal Of Advance Research And Innovative Ideas In Education 5.3(2019) : 533-540.
APA Poorva Kurhade, Komal Kalbhor, Rupali Mohite, Pooja Talathi, & Prof. Reshma Patil. (2019). Student Frustration Level Estimation Using Machine Learning. International Journal Of Advance Research And Innovative Ideas In Education, 5(3), 533-540.
Chicago Poorva Kurhade, Komal Kalbhor, Rupali Mohite, Pooja Talathi, and Prof. Reshma Patil. "Student Frustration Level Estimation Using Machine Learning." International Journal Of Advance Research And Innovative Ideas In Education 5, no. 3 (2019) : 533-540.
Oxford Poorva Kurhade, Komal Kalbhor, Rupali Mohite, Pooja Talathi, and Prof. Reshma Patil. 'Student Frustration Level Estimation Using Machine Learning', International Journal Of Advance Research And Innovative Ideas In Education, vol. 5, no. 3, 2019, p. 533-540. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Student_Frustration_Level_Estimation_Using_Machine_Learning_ijariie10282.pdf (Accessed : 26 July 2023).
Harvard Poorva Kurhade, Komal Kalbhor, Rupali Mohite, Pooja Talathi, and Prof. Reshma Patil. (2019) 'Student Frustration Level Estimation Using Machine Learning', International Journal Of Advance Research And Innovative Ideas In Education, 5(3), pp. 533-540IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Student_Frustration_Level_Estimation_Using_Machine_Learning_ijariie10282.pdf (Accessed : 26 July 2023)
IEEE Poorva Kurhade, Komal Kalbhor, Rupali Mohite, Pooja Talathi, and Prof. Reshma Patil, "Student Frustration Level Estimation Using Machine Learning," International Journal Of Advance Research And Innovative Ideas In Education, vol. 5, no. 3, pp. 533-540, May-Jun 2019. [Online]. Available: https://ijariie.com/AdminUploadPdf/Student_Frustration_Level_Estimation_Using_Machine_Learning_ijariie10282.pdf [Accessed : 26 July 2023].
Turabian Poorva Kurhade, Komal Kalbhor, Rupali Mohite, Pooja Talathi, and Prof. Reshma Patil. "Student Frustration Level Estimation Using Machine Learning." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 5 number 3 (26 July 2023).
Vancouver Poorva Kurhade, Komal Kalbhor, Rupali Mohite, Pooja Talathi, and Prof. Reshma Patil. Student Frustration Level Estimation Using Machine Learning. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2019 [Cited : 26 July 2023]; 5(3) : 533-540. Available from: https://ijariie.com/AdminUploadPdf/Student_Frustration_Level_Estimation_Using_Machine_Learning_ijariie10282.pdf
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