Citation :

Imhade Princess Okokpujie, Muhammad Izzat Nor Ma'arof, David Ifeoluwa Agbemuko, Momoh-Jimoh E. Salami, Tolulope Christiana Erinosho, Elizabeta Smaranda Olarinde, "Improving Educational Productivity Towards Sustainability Using AI and Robotics Solutions for Administrative Optimization: A Comprehensive Review," International Journal of Engineering Trends and Technology (IJETT), vol. 74, no. 1, pp. 174-192, 2026. Crossref, https://doi.org/10.14445/22315381/IJETT-V74I1P114

Abstract

The tedious, error-prone, and laborious manual system for recording and consolidating marked examination scripts in institutions drains educators’ resources, which could be used more effectively in fulfilling teaching-learning experiences. Curriculum review. This use of AI and robotics is designed to simplify educators' administrative workload, allowing them to spend more time strategically planning for the classroom and tackling complex problems. Descriptive methodology is employed in this review study to identify how the implementation of AI and Robotics processes enhances the instructional efficiency of educational productivity, as well as its sustainability for administrative optimisation. A systematic literature review was conducted using the Web of Science, Scopus, and ScienceDirect databases, covering different keywords from 2014 to 2025. The discovery of the third variety is obtained through investigations of conventional automated educational data management systems, robotics and automation in education, and image processing techniques for grade records. The methods employed for extracting student details are also discussed, along with their advantages and drawbacks. This investigation also introduces the suggested robot arm and AI system for administrative optimisation and sustainability. The overview, the component architecture, and the web application backend development project organisation. Compliant with Sustainable Development Goal 4, this paper presents the role of technology in transforming conventional educational systems. It also introduces implications for other SDGs, such as SDG 9 and SDG 17, highlighting how AI and robotics are transformative in educational management. The study concluded that the application of AI, Machine Learning, and robotics Techniques in the educational administrative process will significantly improve the education system.

Keywords

Student grades recording, Artificial Intelligence, Machine Learning, Image processing, Computer vision, Robot Awareness, Educational technology, Sustainable development goals.

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