Application of Computer Vision and Mobile Systems in Education: A Systematic Review

Authors

  • Rubaiya Tasnim Sholi Department of Computer Science and Engineering, Daffodil International University
  • Md Fouad Hossain Sarker Associate Professor, Department of Development Studies, Daffodil International University https://orcid.org/0000-0002-6884-837X
  • Md. Salman Sohel Department of Development Studies, Daffodil International University
  • Md Kabirul Islam Department of Multimedia and Creative Technology, Daffodil International University
  • Maruf Ahmed Tamal Research Fellow, Division of Research, Daffodil International University
  • Touhid Bhuiyan Department of Computer Science and Engineering, Daffodil International University
  • S.M. Khasrul Alam Shakil Department of Computer Science and Engineering, Daffodil International University https://orcid.org/0000-0003-0975-9892
  • Md. Foysal Ahmed Department of Computer Science and Engineering, Daffodil International University

DOI:

https://doi.org/10.3991/ijim.v18i01.46483

Keywords:

computer vision (CV), mobile system, computer vision and mobile application, education, systematic review

Abstract


The computer vision industry has experienced a significant surge in growth, resulting in numerous promising breakthroughs in computer intelligence. The present review paper outlines the advantages and potential future implications of utilizing this technology in education. A total of 84 research publications have been thoroughly scrutinized and analyzed. The study revealed that computer vision technology integrated with a mobile application is exceptionally useful in monitoring students’ perceptions and mitigating academic dishonesty. Additionally, it facilitates the digitization of handwritten scripts for plagiarism detection and automates attendance tracking to optimize valuable classroom time. Furthermore, several potential applications of computer vision technology for educational institutions have been proposed to enhance students’ learning processes in various faculties, such as engineering, medical science, and others. Moreover, the technology can also aid in creating a safer campus environment by automatically detecting abnormal activities such as ragging, bullying, and harassment.

Author Biographies

Rubaiya Tasnim Sholi, Department of Computer Science and Engineering, Daffodil International University

Rubaiya Tasnim Sholi is a graduate student at Daffodil International University, Bangladesh, major in Computer Science and Engineering. Currently, she is working as a ‘Research Assistant', and her research interests lie in computer vision, machine learning, artificial intelligence, and data analytics. ORCID ID: https://orcid.org/0000-0001-7905-3559

Md Fouad Hossain Sarker, Associate Professor, Department of Development Studies, Daffodil International University

Md Fouad Hossain Sarker is an Associate Professor in the Department of Development Studies, under the Faculty of Humanities and Social Science, at Daffodil International University (DIU), Bangladesh. He has received the "Teaching Practices Excellence Award (Chairman’s Award) in 2020 and the Vice Chancellor’s Award in 2016" for innovation in teaching and learning at DIU. His research interests focus on educational development, mentoring & counseling, corporate social responsibility, migration, and development. ORCID ID: https://orcid.org/0000-0002-6884-837X

Md. Salman Sohel, Department of Development Studies, Daffodil International University

Md. Salman Sohel is currently working as a Lecturer of Development Studies in Daffodil International University, Dhaka, Bangladesh. Mr. Salman received Master’s degree from Hohai University, China. His research interests include migration, climate governance, disaster management, displacement, and resettlement.

Md Kabirul Islam, Department of Multimedia and Creative Technology, Daffodil International University

Dr. Md Kabirul Islam is the Professor and Dean of the Faculty of Graduate Studies (FGS) at Daffodil International University (DIU), Bangladesh. At present, he is also performing his responsibility as the Director of the Division of Research at DIU, which has a greater impact on establishing a research culture in the university and publications in ISI and Scopus. ORCID ID: https://orcid.org/0000-0001-5554-3166

Maruf Ahmed Tamal, Research Fellow, Division of Research, Daffodil International University

Maruf Ahmed Tamal is currently working as a Research Fellow in the Faculty of Graduate Studies (FGS) at Daffodil International University (DIU), Bangladesh. His primary area of expertise is machine learning and data mining-based knowledge discovery. He also pursues interests in ICT-based pedagogy and mathematics anxiety. ORCID ID: https://orcid.org/0000-0001-8998-5739

Touhid Bhuiyan, Department of Computer Science and Engineering, Daffodil International University

Dr. Touhid Bhuiyan is a Professor in the Department of Computer Science and Engineering at Daffodil International University (DIU), Bangladesh. His research expertise lies in the areas of cyber security, trust management, artificial intelligence, and e-learning.  He is also skilled in database and big data analytics and is a strong engineering professional with a certificate focused on cyber security from the University of Oxford.

S.M. Khasrul Alam Shakil, Department of Computer Science and Engineering, Daffodil International University

S.M. Khasrul Alam Shakil is a graduate student of Daffodil International University, Bangladesh, major in Computer Science and Engineering. He has research interests in Machine Learning, Computer Vision and Image Processing. ORCID ID: https://orcid.org/0000-0003-0975-9892

Md. Foysal Ahmed , Department of Computer Science and Engineering, Daffodil International University

Md. Foysal Ahmed is a graduate student of Daffodil International University, Bangladesh, in Computer Science and Engineering department. He has research interests in Neural Network, Computer Vision and Image Processing. ORCID ID: https://orcid.org/0000-0003-1683-6315

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Published

2024-01-12

How to Cite

Rubaiya Tasnim Sholi, Sarker, M. F. H., Md. Salman Sohel, Md Kabirul Islam, Maruf Ahmed Tamal, Touhid Bhuiyan, … Md. Foysal Ahmed. (2024). Application of Computer Vision and Mobile Systems in Education: A Systematic Review. International Journal of Interactive Mobile Technologies (iJIM), 18(01), pp. 168–187. https://doi.org/10.3991/ijim.v18i01.46483

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Papers