Advising Approach to Enhance Students&amp;#039; Performance Level in Higher Education Environments

Mostafa, A.; Khedr, Ayman E.; Abdo, A.

doi:10.3844/jcssp.2017.130.139

Cited by 15 publications

(11 citation statements)

References 16 publications

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“…As different evaluation metrics are proposed in different researches [11], [20], [21], each of these metrics highlights one of the evaluation perspectives. For example, the accuracy metric and error rate calculation have a little complexity but with little discrimination and less informative views [22]. Sensitivity and specificity are then applied for evaluation to balance the evaluation performance.…”

Section: Related Workmentioning

confidence: 99%

A Collaborative Evaluation Metrics Approach for Classification Algorithms

Idrees¹,

Alsheref²

2020

Journal of Southwest Jiaotong University

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Evaluating Algorithms is one of the critical steps which should be strongly considered as this is the pillar of most of the decisions. This research proposes a novel method for accurate algorithms’ evaluation according to the metrics’ relationships and weight. The weight of the evaluation metrics is determined according to their invariance level. The proposed method validity is confirmed by applying and evaluating the most famous and well-populated classification techniques. The results have been considered according to the calculated weight of the evaluation measures to reveal the final algorithm evaluation. As a case study, the most suitable classification technique for Tinnitus data are explored. This research considered the Tinnitus data as Tinnitus symptoms are not clearly recognized which highlights the difficulty of the patients to have a direct and fast diagnosis which highlighted the motivation in investigating intelligent methods for fast Tinnitus diagnosing. The research applied the experiment on a real dataset that is gathered in Egypt and the results highlighted that the Support Vector Machine classification algorithm is the most suitable technique for Tinnitus data classification with an accuracy equal to 90.1%.

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Section: Related Workmentioning

confidence: 99%

A Collaborative Evaluation Metrics Approach for Classification Algorithms

Idrees¹,

Alsheref²

2020

Journal of Southwest Jiaotong University

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“…Different research in many fields have considered text analysis, semantic networks [13], semantic relations [14], as well as knowledge base systems [15][16][17] in different fields. In this section presents some of the research evolution considering these aspects in interrelated perspective.…”

Section: Related Workmentioning

confidence: 99%

Building a Knowledge Base Shell Based on Exploring Text Semantic Relations from Arabic Text

Idrees¹,

Shaaban²

2020

IJIES

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This research aims at focusing on building a knowledge base shell which task is to automatically build the knowledge base component from text sources. The proposed research aims at considering the Arabic text sources as one of the main challenges in due to the difficulty in processing Arabic text that suffers from the high inflection, shortcuts, and the varieties in letters' representation. The research restored the confidence in the term frequency method and the research adopts the semantic relations network representation. The research applied the experiment for building the weeds' identification facts' part in the knowledge-based system. The experiment applied the proposed framework on two sources, the precision, recall, and f-score have been measured which resulted in an average of 91.2%, 91.1%, and 91% respectively. The evaluation metrics provide a promising perspective in the proposed approach with more focus on the bottlenecks for enhancements.

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“…The model was examined using Cronbach's Alpha "CA" which measures the reliability. The higher CA determines a higher reliability (Mostafa et al, 2017). Moreover, the model is accepted if CA is determined to be over 0.7.…”

Section: Reliability Of Bcssq Modelmentioning

confidence: 99%

“…This phase targets determining the associations between the process continuity stages and the main activities for these stages (Dahab et al, 2010;Sultan et al, 2017). Association rule mining approach has been targeted previously in the education field with different perspectives such as in (Mostafa et al, 2017). Following the same approach, applying association mining is considered the main phase for building the proposed business continuity framework.…”

Section: Association Rule Miningmentioning

confidence: 99%

“…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%

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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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Advising Approach to Enhance Students' Performance Level in Higher Education Environments

Cited by 15 publications

References 16 publications

A Collaborative Evaluation Metrics Approach for Classification Algorithms

A Collaborative Evaluation Metrics Approach for Classification Algorithms

Building a Knowledge Base Shell Based on Exploring Text Semantic Relations from Arabic Text

A Proposed Mining Based Business Continuity Information System for Educational Institutes

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