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Data Analytics of Student Learning Outcomes Using Abet Course Files

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Intelligent Computing (SAI 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1228))

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Abstract

The ABET accreditation requires Student Outcomes’ (SO) direct assessment in various courses. Outcome-based learning is what students learn as because of these assessments. Nevertheless, most universities find it difficult to approve ABET Course File. The scores of students will not truly reflect their outcome- based learning if the design of ABET Course File improperly done in a manner that addresses the relevant SOs. Contrariwise, ABET course files has to do with the direct relationship with the course contents. In cases whereby, outcome-based learning is not evident. As such, the aim of this project includes the analysis of students’ performance and accomplishments regarding ABET course files Learning, using data mining approaches. Also, this project intends to test various methods of Data mining including Naïve Bayes, Decision tree, and so on and recommend an appropriate method to predict the performance of the student. The accuracy of the prediction of student performance is high in decision tree compared to other algorithms such as Naive Bayes.

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Author information

Authors and Affiliations

  1. College of Computer and Information Systems, Department of Computer Science, Umm Al-Qura University, Makkah, Kingdom of Saudi Arabia

    Hosam Hasan Alhakami

  2. College of Computer and Information Systems, Department of Computer Science and Engineering, Umm Al-Qura University, Makkah, Kingdom of Saudi Arabia

    Baker Ahmed Al-Masabi

  3. College of Computer and Information Systems, Department of Information Science, Umm Al-Qura University, Makkah, Kingdom of Saudi Arabia

    Tahani Mohammad Alsubait

Authors
  1. Hosam Hasan Alhakami
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  2. Baker Ahmed Al-Masabi
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  3. Tahani Mohammad Alsubait
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Correspondence to Hosam Hasan Alhakami .

Editor information

Editors and Affiliations

  1. Saga University, Saga, Japan

    Kohei Arai

  2. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Supriya Kapoor

  3. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Rahul Bhatia

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Alhakami, H.H., Al-Masabi, B.A., Alsubait, T.M. (2020). Data Analytics of Student Learning Outcomes Using Abet Course Files. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Intelligent Computing. SAI 2020. Advances in Intelligent Systems and Computing, vol 1228. Springer, Cham. https://doi.org/10.1007/978-3-030-52249-0_22

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