Analyzing Student Performance in Programming Education Using Classification Techniques-Reference-Cited by-同舟云学术

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Analyzing Student Performance in Programming Education Using Classification Techniques

Published:2022-11-19 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC)
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Author:

Morampudi Mahesh Kumar¹,Gonthina Nagamani²,Reddy V. Dinesh¹,Rao Katta Subba³

Affiliation:

1. SRM University AP,Department of CSE,Amaravathi,Andhra Pradesh,India

2. Institute of Aeronautical Engineering,Department of CSE,Hyderabad,Telangana,India

3. B V Raju Institute of Technology,Department of CSE,Narsapur, Medak (District),Telangana,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10088285/10088286/10088377.pdf?arnumber=10088377

Reference20 articles.

1. A Systematic Literature Review of Student’ Performance Prediction Using Machine Learning Techniques

2. Data mining: concepts and techniques, 2nd;han;University of Illinois at Urbana Champaign Morgan Kaufmann,2006

3. Examining online learning processes based on log files analysis: A case study;ben-zadok;5th International Conference on Multimedia and ICT in Education (m-ICTE'09),0

4. Student performance measure by using different classification methods of data mining;mishra;Turkish Journal of Computer and Mathematics Education (TURCOMAT),2021

5. A Review on Predicting Student's Performance Using Data Mining Techniques

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