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Classification of Slow and Fast Learners Using Deep Learning Model

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Computational Intelligence

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 968))

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Abstract

Cognitive learning strategies are focused on the improvement of the learner’s ability to analyze information more deeply, efficiently handle new situations by transferring and applying the knowledge. These techniques result in enhanced and better-retained learning. To cater to the needs of different students having different levels of cognitive learning, it is very important to assess their learning ability. In this paper, a method based on deep learning is presented to classify the earners based on their past performance. This technique is taking the student's past semester marks, their total failures in subjects/passing heads, and their current semester attendance. The proposed method classifies the learners into three categories, namely slow, fast, and average learners. A deep learning classifier with multilayer perceptron-based nodes is built for the classification. The proposed method is fully automatic and robust. A final accuracy of 90% is achieved in the classification of the learners in their cognitive learning level.

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Acknowledgements

This work is sponsored by University of Mumbai Minor research Grant Project ID: 1001, Sanctioned in Dec 2019. The hardware for this project work is given by NVIDIA; they have given two Jetson Nano boards (2GB) for the research work.

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Authors and Affiliations

  1. Finolex Academy of Management and Technology, P60,60-1, MIDC, Mirjole Block, Ratnagiri, Maharashtra, 415639, India

    V. A. Bharadi, K. K. Prasad & Y. G. Mulye

Authors
  1. V. A. Bharadi
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  2. K. K. Prasad
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  3. Y. G. Mulye
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Corresponding author

Correspondence to V. A. Bharadi .

Editor information

Editors and Affiliations

  1. Sardar Vallabhbhai National Institute of Technology, Surat, India

    Anupam Shukla

  2. Innovation and Technology Foundation, Indian Institute of Technology, Bhilai, India

    B. K. Murthy

  3. Department of Information Technology, Amity University, Noida, India

    Nitasha Hasteer

  4. Department of Information Systems, University of Cape Town, Fish Hoek, South Africa

    Jean-Paul Van Belle

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Bharadi, V.A., Prasad, K.K., Mulye, Y.G. (2023). Classification of Slow and Fast Learners Using Deep Learning Model. In: Shukla, A., Murthy, B.K., Hasteer, N., Van Belle, JP. (eds) Computational Intelligence. Lecture Notes in Electrical Engineering, vol 968. Springer, Singapore. https://doi.org/10.1007/978-981-19-7346-8_39

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