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Nature of Computation and Communication. 7th EAI International Conference, ICTCC 2021, Virtual Event, October 28–29, 2021, Proceedings

Research Article

Adaptive Deep Learning Technique to Predict Student’s Graduation Results

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  • @INPROCEEDINGS{10.1007/978-3-030-92942-8_6,
        author={Nguyen Quoc Viet and Vo Pham Tri Thien and Nguyen Thanh Binh},
        title={Adaptive Deep Learning Technique to Predict Student’s Graduation Results},
        proceedings={Nature of Computation and Communication. 7th EAI International Conference, ICTCC 2021, Virtual Event, October 28--29, 2021, Proceedings},
        proceedings_a={ICTCC},
        year={2022},
        month={1},
        keywords={Data analysis Student’s graduation result Deep learning Data mining},
        doi={10.1007/978-3-030-92942-8_6}
    }
    
  • Nguyen Quoc Viet
    Vo Pham Tri Thien
    Nguyen Thanh Binh
    Year: 2022
    Adaptive Deep Learning Technique to Predict Student’s Graduation Results
    ICTCC
    Springer
    DOI: 10.1007/978-3-030-92942-8_6
Nguyen Quoc Viet1, Vo Pham Tri Thien2, Nguyen Thanh Binh3,*
  • 1: Student Affairs Office
  • 2: Undergraduate Studies Office
  • 3: Department of Information Systems, Faculty of Computer Science and Engineering, Ho Chi Minh City University of Technology (HCMUT), 268 Ly Thuong Kiet Street
*Contact email: ntbinh@hcmut.edu.vn

Abstract

Analyzing educational data techniques helps educational institutions predict the final graduation results of students based on the average score in the first semesters of the course. To predict student’s graduation results, this research proposed the method to predict includes five steps: data collection, data preprocessing, predict student’s graduation results model, evaluating model and deployment model. The proposed method is based on the average academic points data of the six main semesters out of a total of eight main semesters of students to predict their graduation result with the accuracy of about 90.53%. To objectively evaluate the effectiveness of the proposed method, the results of the proposed method, which compared with the other methods, are better than the other methods.

Keywords
Data analysis Student’s graduation result Deep learning Data mining
Published
2022-01-03
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-92942-8_6
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