STUDENT PERFORMANCE PREDICTION SYSTEM USING MACHINE LEARNING

Registration ID: IJNRD_187265

Published ID: IJNRD2302087

DOI: Click Here to Get

Akshay Rakhunde , Aniket Kalmani , Prachi Badekar , Sonakshi Kokate , S.L. Yedage

COVID-19 pandemic has affected various sectors of the global economy including the unexpected closure of schools and colleges. Because of this sudden closure teaching and learning process have gone online which has affected student performance. Student’s academic performance needs to be predicted to help an instructor identify struggling students more easily and giving teachers a proactive chance to come up with supplementary resources to learners to improve their chances of increasing their grades. Early indications regarding students' progress help academics to optimize their learning strategies and focus on diverse educational practices to make the learning experience successfully. In this work we created a machinebased learning model to predict a student's educational performance. The developed model relied on the student's previous data and performance in the last stage of the college.

Published Paper   E-Certificate

Akshay Rakhunde, Aniket Kalmani, Prachi Badekar, Sonakshi Kokate, & S.L. Yedage (February-2023). STUDENT PERFORMANCE PREDICTION SYSTEM USING MACHINE LEARNING. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(2), a888-a892. https://ijnrd.org/papers/IJNRD2302087.pdf

Volume 8 Issue 2, February-2023

Pages : a888-a892

Paper Reg. ID: IJNRD_187265

Published Paper Id: IJNRD2302087

Downloads: 000121985

Research Area: Computer Engineering 

Country: Pune, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2302087.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2302087

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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