Yazar "Abdellatef, H." seçeneğine göre listele

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    AN INTELLIGENT TUTORING SYSTEM TO MAINTAIN THE STUDENTS' MOTIVATION
    (International Society for Photogrammetry and Remote Sensing, 2022) Ramaha, N.T.A.; Abdellatef, H.; Karas, I.R.
    Recently, many educational institutions around the world has transformed to online education specially during the COVID-19 pandemic. This fast and in many cases unplanned transformation leads to the needs for more researches to find solutions for the problems of this rapid transformation. As it's the best economic options during this pandemic, this study focused on creating a web-based (asynchronous system) intelligent tutoring system (ITS) to support the teachers in the C programming language course. Nonetheless, the suggested system takes into consideration one of the biggest challenges for asynchronous system which is how to maintain the students' motivation for the entire learning process. Therefore, the current study suggested the use of an interactive ITS as a solution for this challenge. The created system C-ITS used a set of motivational state rules and tactics to assess and maintain the motivation of the students. Finally, after using the system by the students and the teachers for two weeks, we conducted an evaluation study to evaluate the quality of the system design, the usability, the functionality, the compatibility. The result of the evaluation study showed that C-ITS system acceptable from both the students and the teachers. © 2022 International Society for Photogrammetry and Remote Sensing. All rights reserved.
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    A New Correlation Manipulation Circuit for Stochastic Computing
    (Institute of Electrical and Electronics Engineers Inc., 2022) Abdellatef, H.; Abdellatif, A.; Ramaha, N.
    Stochastic Computing (SC) is an alternative computing technique that offers low-area and error-tolerant im-plementations of complex functions. However, in multilevel SC circuits or systems correlation levels between stochastic bit-streams are changing, hence, creating severe correlation-induced errors that degrade the SC system's overall accuracy. In many scenarios, the input bitstreams should be correlated for SC arithmetic to obtain accurate results. This work proposes a new correlation manipulation circuit that increases the correlation between two stochastic numbers. Experimental results show that our correlator outperforms other works in correlating the bit-streams with negligible effect on the encoded probabilities. © 2022 IEEE.