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AENTO: A Note-Taking Application for Comprehensive Learning

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Proceedings of the International Conference on Intelligent Computing, Communication and Information Security (ICICCIS 2022)

Part of the book series: Algorithms for Intelligent Systems ((AIS))

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Abstract

Note-taking is an integral component of classroom learning. Students take down notes per their cognitive abilities while learning in the classroom as well as in online learning. There are only a few note-taking applications that look beyond just storing the notes. We aim to develop an application that assists the students while taking down notes in class. The proposed system provides subject-specific word suggestions that improve the typing speed of students. A recommender module may also find out what the student has missed in class if teachers’ notes are available. For a word or phrase suggestions, we refer to Wikipedia or online dictionary of that particular subject. Finding out the missing concept requires preprocessing and conversion of notes into core concepts of class. It was observed that the note-taking applications helped students take notes efficiently. The application/system improved the experience of learning with the improved note-taking application. Similarly, the statistical tests also indicate significant improvement in the academic performance of students. With the help of qualitative and quantitative analysis, it can be concluded that the students found the improved note-taking app useful and educational. The positive results and scores indicate the need for a comprehensive study.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Chandigarh University, Mohali, Punjab, India

    Kanika, Pritam Kumar Dutta, Arshdeep Kaur, Manish Kumar & Abhishek Verma

Authors
  1. Kanika
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  2. Pritam Kumar Dutta
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  3. Arshdeep Kaur
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  4. Manish Kumar
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  5. Abhishek Verma
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Corresponding author

Correspondence to Pritam Kumar Dutta .

Editor information

Editors and Affiliations

  1. Serbian Academy of Sciences and Arts, Belgrade, Serbia

    Vladan Devedzic

  2. Department of Computer Science and Engineering, Central University of Rajasthan, Ajmer, Rajasthan, India

    Basant Agarwal

  3. Department of Computer Science and Engineering, Swami Keshvanand Institute of Technology Management and Gramothan, Jaipur, Rajasthan, India

    Mukesh Kumar Gupta

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Kanika, Dutta, P.K., Kaur, A., Kumar, M., Verma, A. (2023). AENTO: A Note-Taking Application for Comprehensive Learning. In: Devedzic, V., Agarwal, B., Gupta, M.K. (eds) Proceedings of the International Conference on Intelligent Computing, Communication and Information Security. ICICCIS 2022. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-99-1373-2_14

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