The impact of eLearning as a knowledge management tool in organizational performance

Alsharhan, A; Salloum, S; Shaalan, K

doi:10.25046/aj0601102

Improving the deaf and hard of hearing internet accessibility : JSL, text-into-sign language translator for Arabic (2021)
Journal Article
Al-Sarayrah, W., Al-Aiad, A., Habes, M., Elareshi, M., & Salloum, S. Improving the deaf and hard of hearing internet accessibility : JSL, text-into-sign language translator for Arabic. Advances in Intelligent Systems and Computing, 1339, 456-468. https://doi.org/10.1007/978-3-030-69717-4_43

Our society is more dependent on ICT regardless of our abilities. However, some webpages cannot be accessed by D/HoH people, especially when they lack education skills. Technological experts have offered several solutions over the years e.g., fixed c... Read More about Improving the deaf and hard of hearing internet accessibility : JSL, text-into-sign language translator for Arabic.

Business excellence in enhancing global competitive advantage in healthcare sector of UAE (2021)
Journal Article
Zainal, A., & Salloum, S. Business excellence in enhancing global competitive advantage in healthcare sector of UAE. Advances in Intelligent Systems and Computing, 260-274. https://doi.org/10.1007/978-3-030-69717-4_27

The purpose of the study is to explore the role of business excellence in improving global competitive advantage in the UAE’s healthcare sector. The study explores various business excellence models and recognizes widely used models and the best mode... Read More about Business excellence in enhancing global competitive advantage in healthcare sector of UAE.

The acceptance of social media sites : an empirical study using PLS-SEM and ML approaches (2021)
Journal Article
Al-Skaf, S., Youssef, E., Habes, M., Alhumaid, K., & Salloum, S. The acceptance of social media sites : an empirical study using PLS-SEM and ML approaches. Advances in Intelligent Systems and Computing, 548-558. https://doi.org/10.1007/978-3-030-69717-4_52

The study conducted aims to form a conceptual model to calculate the pupils’ acceptance of social media in education and its factors. The study is carried out by extending the Technology Acceptance Model (TAM) using social influence factors. Alongsid... Read More about The acceptance of social media sites : an empirical study using PLS-SEM and ML approaches.

The effects of subjective norm on the intention to use social media networks : an exploratory study using PLS-SEM and machine learning approach (2021)
Journal Article
Al Kurdi, B., Alshurideh, M., Nuseir, M., Aburayya, A., & Salloum, S. The effects of subjective norm on the intention to use social media networks : an exploratory study using PLS-SEM and machine learning approach. Advances in Intelligent Systems and Computing, 581-592. https://doi.org/10.1007/978-3-030-69717-4_55

Several research has been conducted on social media application's acceptance, but factors that impact educational purposes are completely ignored in this research. Therefore, the research has been conducted with the purpose of developing a conceptual... Read More about The effects of subjective norm on the intention to use social media networks : an exploratory study using PLS-SEM and machine learning approach.

Smart vision of school classroom (2021)
Journal Article
Hantoobi, S., Wahdan, A., Salloum, S., & Shaalan, K. Smart vision of school classroom. Advances in Intelligent Systems and Computing, 525-537. https://doi.org/10.1007/978-3-030-69717-4_50

Modern technology has become an integral part of our daily lives. Every day generates the need for new technologies so that we can coexist and integrate into contemporary life. Virtual reality (VR) is becoming imperative in some life areas, such as m... Read More about Smart vision of school classroom.

Predicting the intention to use social media sites : a hybrid SEM - machine learning approach (2021)
Journal Article
Salloum, S., AlAhbabi, N., Habes, M., Aburayya, A., & Akour, I. Predicting the intention to use social media sites : a hybrid SEM - machine learning approach. Advances in Intelligent Systems and Computing, 324-334. https://doi.org/10.1007/978-3-030-69717-4_32

The study conducted aims to form a conceptual model to calculate the pupils’ acceptance of social media in education and its factors. Although the amount of research done on the acceptance of social media applications has amplified, the factors affec... Read More about Predicting the intention to use social media sites : a hybrid SEM - machine learning approach.

Classifying audio music genres using a multilayer sequential model (2021)
Journal Article
Khamees, A., Hejazi, H., Alshurideh, M., & Salloum, S. Classifying audio music genres using a multilayer sequential model. Advances in Intelligent Systems and Computing, 301-314. https://doi.org/10.1007/978-3-030-69717-4_30

In this paper, we discuss applying a neural network model to classify a dataset of type audio. We used a GTZAN dataset that includes different audio music records representing different conventional categories of music genres. Each shares a set of co... Read More about Classifying audio music genres using a multilayer sequential model.

Arabic text generation : deep learning for poetry synthesis (2021)
Journal Article
Hejazi, H., Khamees, A., Alshurideh, M., & Salloum, S. Arabic text generation : deep learning for poetry synthesis. Advances in Intelligent Systems and Computing, 1339, 104-116. https://doi.org/10.1007/978-3-030-69717-4_11

Text Generation, especially poetry synthesis, is a promising and challenging AI task. We have used LSTM and word2vec methods to explore this area. We do forward and backward word training with different word sequences lengths. Two Datasets of Arabic... Read More about Arabic text generation : deep learning for poetry synthesis.

Classifying audio music genres using CNN and RNN (2021)
Journal Article
Khamees, A., Hejazi, H., Alshurideh, M., & Salloum, S. Classifying audio music genres using CNN and RNN. Advances in Intelligent Systems and Computing, 315-323. https://doi.org/10.1007/978-3-030-69717-4_31

This paper discusses applying different types of neural networks to classify a dataset of type audio. We used a GTZAN dataset that includes various audio music records representing different conventional categories of music genres. Each shares a set... Read More about Classifying audio music genres using CNN and RNN.

The impact of eLearning as a knowledge management tool in organizational performance (2021)
Journal Article
Alsharhan, A., Salloum, S., & Shaalan, K. (2021). The impact of eLearning as a knowledge management tool in organizational performance. Advances in science, technology and engineering systems journal, 6(1), 928-936. https://doi.org/10.25046/aj0601102

This paper aims to understand the impact of eLearning capabilities on organizational performance. It also addresses the obstacles of organizational learning using eLearning methods and highlighting some emerging trends and technologies that will impa... Read More about The impact of eLearning as a knowledge management tool in organizational performance.

All Outputs (30)