Manuscript received August 8, 2023; revised September 12, 2023; accepted October 19, 2023; published January 23, 2024
Abstract—The constant advancement of Information and Communication Technologies (ICT) has sparked growing interest across various domains, with education being one of the most significant. However, this digital transformation presents significant challenges for organizations and educational institutions that must adapt to rapid technological advances. This study aims to integrate smart technologies such as the Internet of Things (IoT), artificial intelligence, and cloud computing into current online learning platforms. To address these challenges, we propose a new model for a smart learning environment (SLE-Model) and a comprehensive architecture based on IoT is suggested as the implementation of our smart learning model. Furthermore, this study proposes a practical application of this concept in the form of "Smart Evaluation," a specific microservice integrated into e-learning platforms. This module includes two important progressive elements: Online Exam Management and Automated Correction of Exam Papers. Finally, we substantiated our study by conducting a comparative experiment, employing the Mann-Whitney U test, involving two groups of students during their evaluation session. The results indicate statistical significance at a 95% confidence level, leading us to the conclusion that the utilization of IoT technologies in online exam management and automated correction of exam papers has proven more effective than traditional methods.
Keywords—smart education, ICT, Internet of Things (IoT), Artificial Intelligence (AI), cloud computing
Cite: Amine Dehbi, Abdellah Bakhouyi, Rachid Dehbi, and Mohamed Talea, "Smart Evaluation: A New Approach Improving the Assessment Management Process through Cloud and IoT Technologies," International Journal of Information and Education Technology vol. 14, no. 1, pp. 107-118, 2024.