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118 results on '"Alja'am, Jihad"'

1. Shallow Learning vs. Deep Learning in Social Applications

Author

Mageed, Ismail A., Bhat, Ashiq H., Alja’am, Jihad, Marques, Oge, Series Editor, Chaudhury, Baishali, Editorial Board Member, Culibrk, Dubravko, Editorial Board Member, Hadid, Abdenour, Editorial Board Member, Kitamura, Felipe, Editorial Board Member, Riegler, Michael, Editorial Board Member, Schumacher, Joe, Editorial Board Member, Soares, Anderson, Editorial Board Member, Stojanovic, Branka, Editorial Board Member, Thampi, Sabu, Editorial Board Member, Van Ooijen, Peter, Editorial Board Member, Willingham, David, Editorial Board Member, Ertuğrul, Ömer Faruk, editor, Guerrero, Josep M, editor, and Yilmaz, Musa, editor

Published
2024
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2. A Study of Children Emotion and Their Performance While Handwriting Arabic Characters Using a Haptic Device

Author

Zakraoui, Jezia, Saleh, Moutaz, Al-Maadeed, Somaya, and AlJa'am, Jihad Mohamad

Abstract

Emotion and focus of children during handwriting are essential for language learning. Handwriting for young children is challenging because it needs deep motivation and willingness to complete the task regardless of its difficulty. Recently, emerged haptic guidance systems have a good potential to offer children a better sense of engagement to keep their interests awake. Yet, handwriting in 3D is more challenging for children due to many reasons including demotivation, out of focus, and visuomotor coordination difficulties. In this paper, we study the effectiveness of a haptic device in analyzing schoolchildren emotion, attentiveness and handwriting performance of Arabic letters. We conducted the experiments for a period of four weeks with an immersive environment where the subjects practiced writing in VR environment using a haptic device-controlled stylus. We assessed the childrens' emotions to get insights into their engagement during such hard learning environment. We found that our approach improved the participants' fine-motor skills and handwriting quality. However, our analysis revealed that such task was effective on detecting emotions (angry/neutral) only as a negative/positive contributor of performance. Overall, the obtained findings can well contribute to the understanding of the relationship between students' emotions and other variables in an attempt to support the development of adaptive learning technologies.

Published
2023
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4. A Haptic Handwriting Device in MOALEM Platform for Arabic Vocabulary Learning

Author

Al-Maadeed, Somaya, Khalifa, Batoul, Saleh, Moutaz, Abou El-Seoud, Samir, AlJa’am, Jihad, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Auer, Michael E., editor, Hortsch, Hanno, editor, Michler, Oliver, editor, and Köhler, Thomas, editor

Published
2022
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5. Visualizing Children Stories with Generated Image Sequences

Author

Zakraoui, Jezia, Saleh, Moutaz, Al-Maadeed, Somaya, Alja’am, Jihad M., Abou El-Seoud, M. Samir, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Auer, Michael E., editor, and Centea, Dan, editor

Published
2021
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6. A Concept Extraction System with Rich Multimedia Learning Resources for Children

Author

Al-Maadeed, Somaya, Khalifa, Batoul M. S., Saleh, Moutaz, Zakraoui, Jezia, Alja’am, Jihad M., Abou El-Seoud, M. Samir, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Auer, Michael E., editor, and Centea, Dan, editor

Published
2021
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11. Designing an Educational Multimedia System for Supporting Learning Difficulties in Arabic

Author

Saleh, Moutaz, Alja’am, Jihad M., Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Arai, Kohei, editor, Bhatia, Rahul, editor, and Kapoor, Supriya, editor

Published
2019
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19. An Assistive Computerized System for Children with Intellectual and Learning Disabilities

Author

ALJa’am, Jihad M., ElSeoud, Samir, Edwards, Arthur, Ruiz, M. Garcia, Jaoua, Ali, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Mokhtari, Mounir, editor, Khalil, Ismail, editor, Bauchet, Jérémy, editor, Zhang, Daqing, editor, and Nugent, Chris, editor

Published
2009
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45. Design and Implementation of a Multimedia-based Technology Solution to Assist Children with Intellectual Disability to Learn.

Author

Alja'am, Jihad M., El-Seoud, Samir A., and Mwinyi, Masoud Udi

Subjects
MULTIMEDIA systems in education, EDUCATIONAL technology -- Management, EDUCATION of children with intellectual disabilities, SPECIAL education, EXTRACTION (Linguistics)
Abstract

This paper presents an innovative technological solution to improve the understanding and cognitive functions of children with intellectual disability through multimedia. New algorithms that mine the story-based scripts, rank their sentences, extract keywords and match them with multimedia have been proposed in our previous work. They are integrated in the proposed system and being assessed over 50 stories for children. The results showed that the children concentration and refection are highly improved using multimedia. The system is fully dynamic and support the personalized learning. Instructors can focus on the main ideas of the story which are extracted automatically and use then images and clips to explain them. The words and images are stored in a corpus which is enriched continuously. Every new story taught will add new information to the corpus and to every children dataset. Parents can review the tutorials used in school with their children at home. The system contributes to the reintegration of children with intellectual disability into the society and break their marginalization and isolation. [ABSTRACT FROM AUTHOR]

Published
2017
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46. Tag-based personalized recommendation in social media services.

Author

Rawashdeh, Majdi, Alhamid, Mohammed, Alja'am, Jihad, Alnusair, Awny, and Saddik, Abdulmotaleb

Subjects
SOCIAL media, TAGS (Metadata), AMBIENT intelligence, CLOUD computing, DTL (Document markup language), WEB personalization, RECOMMENDER systems
Abstract

Users of ambient intelligence environments have been overwhelmed by the huge numbers of social media available, thus identifying the social media tailored to the user's need is becoming an important question to be discussed. This paper adapts the Katz proximity measure, for the use in social tagging system, to help users in ambient environment find relevant media suited to their interests. The method models the ternary relations among user, resource and tag as a weighted, undirected tripartite graph, then apply the Katz proximity measure to tripartite graph. Experiments on two real datasets are implemented and compared with many state-of-the-art algorithms. The experimental results prove that the adaptation of the Katz algorithm with the tripartite structure yields a significant improvement, and successfully ranks relevant search results according to the user's interests. [ABSTRACT FROM AUTHOR]

Published
2016
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