Enhanced Cloud Computing Framework to Improve the Educational Process in Higher Education: A case study of Helwan University in Egypt

Hessen, Shrouk H

doi:10.24297/ijct.v14i6.1913

Cited by 14 publications

(1 citation statement)

References 25 publications

(21 reference statements)

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“…The presented evolution shows that organizations actually have paid attention to the impact of BCM concept with the focus on different stakeholders (Mostafa et al, 2017;Khedr et al, 2015d;Khedr and El Seddawy, 2015). However, it is a vital focus that IT has a great positive impact on the survival of the business process, therefore, adopting data mining techniques for the success of BCM is the focus of this paper.…”

Section: Introductionmentioning

confidence: 99%

A Proposed Mining Based Business Continuity Information System for Educational Institutes

Idrees¹,

Seddawy²,

Moaaz³

2019

Journal of Computer Science

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It has become an essential element for all organizations to be engaged in a more deliberate transform for prevention, protection, preparedness, mitigation and reaction to Business Continuity Management (BCM) and recovery. It is becoming risky for the organization to reply of disaster plan which targets to minimize the causes of the disruption. An organization should take a proactive approach to reduce the likelihood as well as the probability of the disruptions. It involves the development of advanced measures and actions that enable the organization to take action in such a way that the critical and essential functions of business could continue according to the predefined level of change and disruption. Recovering from disruptions is a challenge; it relies on an emergency response plan or uses disaster management strategies that were previously used. BCM is considered mandatory to provide a systematic approach towards crisis response in order to increase organizational resilience capability. It is necessarily required by the organization to protect its reputation, brand, value adding activities and stakeholders' interests. This paper proposes an intelligent framework that applies the business continuity management process on an educational institute which reveals the stakeholder awareness of the business continuity level in their organization. In order to successfully formulate the proposed framework, the research went through a set of phases. The research presented the whole process phases for developing the proposed framework which is based on applying the suitable technique in each phase to guarantee a suitable performance with ensuring the results' validity. The research used 93% confidence, Z = 1.98 with error margin E = 0.03 for sampling selection and the determined association were 94% confidence for 93 rules. Finally, the research discussed the recommendations for successful crisis management process with the support of intelligent techniques.

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Section: Introductionmentioning

confidence: 99%

A Proposed Mining Based Business Continuity Information System for Educational Institutes

Idrees¹,

Seddawy²,

Moaaz³

2019

Journal of Computer Science

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Developing Multiagent E-Learning System-Based Machine Learning and Feature Selection Techniques

Hessen

Abdul-Kader

Khedr

et al. 2022

Computational Intelligence and Neuroscience

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Recently, artificial intelligence (AI) domain increased to contain finance, education, health, mining, and education. Artificial intelligence controls the performance of systems that use new technologies, especially in the education environment. The multiagent system (MAS) is considered an intelligent system to facilitate the e-learning process in the educational environment. MAS is used to make interaction easily among agents, which supports the use of feature selection. The feature selection methods are used to select the important and relevant features from the database that could help machine learning algorithms produce high performance. This paper aims to propose an effective and suitable system for multiagent-based machine learning algorithms and feature selection methods to enhance the e-learning process in the educational environment which predicts pass or fail results. The univariate and Extra Trees feature selection methods are used to select the essential attributes from the database. Five machine learning algorithms named Decision Tree (DT), Logistic Regression (LR), Random Forest (RF), Naive Bayes (NB), and K-nearest neighbors algorithm (KNN) are applied to all features and selected features. The results showed that the learning algorithm that has been measured by the Extra Trees method has achieved the highest performance depending on the evaluation of cross-validation and testing.

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Knowledge Discovery based Framework for Enhancing the House of Quality

Idrees¹,

ElSeddawy²,

Zeidan³

2019

IJACSA

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Mining techniques proved to have a successful impact in different fields for many targets; one of these targets is to gain customers' satisfaction through enhancing the products' quality according to the voice of these customers. This research proposes a framework that is based on mining techniques and adopted Saaty method targeting to gain the customers' satisfaction and consequently a competitive advantage in the real estate market. The proposed framework is applied during the design phase of a real estate residential building project as an improvement tool to design the building according to the customers' requirements representing the voice of customers (VOC). The proposed Saaty method adaptation increased the number of the consistent sample which was incorrectly excluded using the traditional Saaty method. Saaty method adaptation has succeeded in enhancing the house of quality (HOQ) by achieving the consistent technical customers' requirements for residential buildings, while customers' segmentation succeeded in focusing on the homogeneous grouping of customers.

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Enhanced Cloud Computing Framework to Improve the Educational Process in Higher Education: A case study of Helwan University in Egypt

Cited by 14 publications

References 25 publications

A Proposed Mining Based Business Continuity Information System for Educational Institutes

A Proposed Mining Based Business Continuity Information System for Educational Institutes

Developing Multiagent E-Learning System-Based Machine Learning and Feature Selection Techniques

Knowledge Discovery based Framework for Enhancing the House of Quality

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