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Ghada Mohammed Alsebayel

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Faculty

علوم الحاسب والمعلومات
College of Computer and Information Sciences, Building 6, 2nd floor, Office 6
publication
Journal Article
2019

Robot Based Interactive Game for Teaching Arabic Spelling

, Ghada Alsebayel, Jawad Berri . 2019

Game based learning is becoming a widespread technique used to enhance motivation, involvement and educational experience of learners. Games have the potential to support educational curricula when designed effectively. In this work, an educational game to teach Arabic spelling to children is proposed. The game consists of two main parts; a robot and a desktop application. The robot is connected to the desktop application to form the complete game. Our mere focus is to develop an interactive, adaptive game to motivate students and let them interact joyfully in their environment while learning simple Arabic spelling rules. The interaction was implemented through designing an interaction model between the user and the robot, where the robot responds to user input with appropriate facial expressions and vocal statements. On the other hand, adaption and intelligence of the game is done through utilizing the nutshell of expert systems’ framework with some alterations. Our proposed game is based on the curriculum of Saudi Arabia in elementary schools. It is anticipated that the deployment of robot-based games in the classroom will advance students’ engagement and enthusiasm about learning Arabic spelling.

Magazine \ Newspaper
International Journal of Artificial Intelligence & Application
more of publication
publications

Traditionally, game designers have driven the development process of psychotherapeutic games with psychotherapists playing a consultant role. In contrast, our study explores psychotherapists…

by Elina Tochilnikova, Amrit Patnaik, Ghada Alsebayel, Uttkarsh Narayan, Andrew Coeytaux, Valeria Ramdin, Miso Kim, Casper Harteveld
2022
Published in:
Association for Computing Machinery ACM
publications

In this paper we proposed a system for authentication using Palm Vein. we Applied Principle Component Analysis (PCA) on images of the plam for features extraction. Palm vein images of dorsa were…

by Dr. Sahar Bayoumi, Ghada Alsebayel, Sarah Alzahrani, Sulaf Almagooshi, Afnan Sheikho, Sara Alsayigh
2013
publications

In this project we applied apriori algorithm for learning association rules in a healthcare dataset.

by Ghada Alsebayel, Sarah Alzahrani, Sulaf Almagooshi, Supervised by: Dr. Ghada Bader
2013