hassan mustafa - Academia.edu (original) (raw)

Papers by hassan mustafa

This piece of research addresses an interdisciplinary, challenging and interesting learning issue... more This piece of research addresses an interdisciplinary, challenging and interesting learning issue. More specifically, it deals with analytical and quantitative study comparing two suggested naturally inspired behavioral learning systems. In other words, this study presents an investigational comparison between two diverse realistic models of biological systems. Namely, these systems are associated with learning at mammalian (Pavlovian) and Ant Colony Systems. Introduced investigations have included behavioral responsive functions, for learning process contributed inside brain neural system (number of neurons), as well as Ant Colony Optimization ACO. Additionally, this work revealed an interesting analogy between both suggested systems considering adaptive mathematical learning equations and algorithms. Moreover, analogous results have been introduced for suggested system versus animal learning performance considering spikes (pulsed) neurons approach.

This piece of research addresses an interesting comparative performance analysis and evaluation s... more This piece of research addresses an interesting comparative performance analysis and evaluation study for behavioral learning versus ant colony optimization. It considers two conceptual diverse algorithmic computational intelligence approaches. Both are related tightly to Neural and Non-Neural Systems respectively. The first algorithmic intelligent approach concerned with observed practically obtained results after one of neural animal systems’ activities. Namely, a mouse's active trials to reach an optimal solution for a reconstruction problem during its movement inside figure of eight (8) maze. Conversely, the second approach originated from realistic simulation results observed for Non-Neural system's activities namely: Ant Colony System (ACS). Obtained results have been reached while ACS is searching for an optimal solution of Traveling Sales-man Problem (TSP). Herein, some interesting observations have been introduced which concerned with similarity of enhancement for either learning systems under comparison. That enhanced/improved performance observed due to the effect of increase intelligent agent's number (either neurons or ants). Considering simulation of both adopted biological systems by Artificial Neural Network (ANN), results in very interesting findings. Furthermore, both have shown to be in agreement with learning convergence of an ANN learning model, while searching for optimal solution adopting Least Mean Square Error (LMS) Algorithm.

Abstract: Generally, Analysis of learning creativity phenomenon is an interesting and challenging... more Abstract: Generally, Analysis of learning creativity phenomenon is an interesting and challenging issue associated with educational practice. Moreover, that phenomenon is tightly related to main human brain functions (Learning and Memory). So, creative individuals are characterized ...

This piece of research adopts the conceptual approach of (ANN) models inspired by functioning of ... more This piece of research adopts the conceptual approach of (ANN) models inspired by functioning of highly specialized biological neurons in reading brain based on the organization the brain's structures/substructures. Additionally, in accordance with the prevailing concept of individual intrinsic characterized properties of highly specialized neurons, presented models closely correspond to performance of these neurons for developing reading brain in a significant way. More specifically, introduced models concerned with their important role played in carrying out cognitive brain function' outcomes. The cognitive goal for reading brain is to translate that orthographic m into a spoken word (phonological word-form). In this context herein, the presented work illustrates via ANN simulation results: How ensembles of highly specialized neurons could be dynamically involved in performing the cognitive function of developing reading brain.

American Journal of Educational Research, 2015

ABSTRACT Generally, in nature, non-human creatures perform adaptive behaviors to external environ... more ABSTRACT Generally, in nature, non-human creatures perform adaptive behaviors to external environment they are living in. i.e. animals have to keep alive by improving their intelligent behavioral ability to be adaptable to their living environmental conditions. This paper presents an investigational comparative overview on adaptive behaviors associated with two diverse biological systems (Neural and Non-Neural). In more details, intelligent behavioral performance of Ant Colony System (ACS) in order to reach optimal solution of Traveling Sales-man Problem (TSP) is considered. That's investigated herein versus concepts of adaptive behavioral learning concerned with some animals (cats, dogs, and rats), in order to keep survive. More precisely, investigations of behavioral observations tightly related to suggested animals, supposed to obey discipline of biological information processing. So, Artificial Neural Network (ANN) modeling is a relevant tool to investigate such biological system observations. Moreover, an illustrative brief of ACS optimal intelligent behaviors to solve TSP is presented. Additionally, considering effect of noisy environment on learning convergence, an interesting analogy between both proposed biological systems is introduced. Finally, performance of three learning algorithms shown to be analogously in agreement with behavioral concepts of both suggested biological systems' performance. Keywords

This piece of research belongs to the field of educational assessment issue based upon the cognit... more This piece of research belongs to the field of educational assessment issue based upon the cognitive multimedia theory. Considering that theory; visual and auditory material should be presented simultaneously to reinforce the retention of a mathematical learned topic, a carefully computer-assisted learning (CAL) module is designed for development of a multimedia tutorial for our suggested mathematical topic. The designed CAL

Learning creativity is an interesting educational phenomenon usually observed at children classro... more Learning creativity is an interesting educational phenomenon usually observed at children classrooms. Early discovery of individual children having mathematical creativity is a challenging interdisciplinary research issue. This piece of research focuses on quantitative analysis and evaluation of mathematical learning creativity on the basis of acquired "Subjective Domains of Experiences" (SDE) inside children's brain. Acquisition of (SDE) assumed to modify a children's stored experience via application of various multimedia Computer Assisted Learning (CAL) packages (modules). Accordingly, fairly assessment of mathematical learning time response has been adopted herein for analysis and evaluation of learning creativity acquired by (SDE). By some details, early discovery of creativity could be performed well in accordance with obtained learning assessment results. That is after solving correctly a suggested mathematical topic (at children classrooms).Furthermore, int...

Neurological researchers have recently revealed their findings about increasingly common and soph... more Neurological researchers have recently revealed their findings about increasingly common and sophisticated role of the sixth computer (natural intelligence) generation namely, Artificial neural networks (ANNs). This computer generation is relevantly applicable to implement realistic learning models originated from interdisciplinary discipline incorporating neuroscience, education, and cognitive sciences. Consequently, implemented realistic models have diverse structural paradigms, in consequence with natural characterized features of brain functioning assigned for modeling. This paper specifically addressed an interdisciplinary research work problem originated from quantitative evaluation of neuronal mechanism for reading languages' preliminary phases. Briefly, it concentrates on a very interesting and challenging issue tightly associated to quantitative learning performance of vocabulary evaluation at early infancy of human brain, while that affected with mother's speech. T...

This paper addresses a challenging problem concerned basically with realistic optimal computer-ba... more This paper addresses a challenging problem concerned basically with realistic optimal computer-based educational simulations. More specifically, it searches for an optimally designed computational tool(s), such as software learning package(s), applied to teaching a specified curriculum in classroom. Herein, quantitative evaluation as well as statistical analysis of the learning environment nature have been considered for optimal learning systems' performance. Recently, this learning issue has gained significance due to the integration of information technology into educational/instructional practical operations. Accordingly, two learning parameters -that are candidates to measure effectiveness and efficiency of such packages- are elected to support the optimal selection of a relevant software learning package SWLP. These parameters -after establishing how to measure results and performance of the learning process- are: the output learning level, which evaluates obtained educatio...

The world heritage of handwritten Arabic documents is huge however only manual indexing and retri... more The world heritage of handwritten Arabic documents is huge however only manual indexing and retrieval techniques of the content of these documents are available. To facilitate an automatic retrieval of such hand-written Arabic document, a number of automatic recognition systems for handwritten Arabic words have been proposed. Nevertheless, these systems suffer from low recognition accuracy due to the peculiarities of the handwritten Arabic language. Thus, in this Paper we propose a segmentation based recognition system for handwritten Arabic words. We divide a handwritten word into smaller pieces of a word and then these small pieces are segmented into candidate letters. These candidate letters are converted into their correspondence chain-code representation. Thereafter we extract discrete, statistical and structural features for classifica-tion. Additionally, we introduce a novel active contour based feature to increase the recognition accuracy of strongly deformed Arabic letters....

Stephan Mueller Special Publication Series, 2001

Detailed stratigraphic and structural study of the southeast Dead Sea basin along the Dead Sea Tr... more Detailed stratigraphic and structural study of the southeast Dead Sea basin along the Dead Sea Transform in Jordan was carried out in order to determine the deformation history and processes of pullapart basin formation. Fieldwork focused on mapping and collecting structural orientation data in the area of the intersection of the NE-trending, strike-slip Wadi Araba fault (WAF) and the NW-trending, dip-slip Khunayzira fault. The recent movement on the WAF shows spectacular polished fault planes, slickensides, and Riedel and conjugate Riedel shears. During the Late Quaternary the position of the WAF shifted west toward the basin. This is evident from a series of pressure ridges and exposed positive flower structures that do not deform the lacustrine deposits of the Lisan formation (63-15 ka). The Khunayzira fault makes a prominent, curvilinear 50 m-high scarp that trends SE-NW. In the study area, the scarp is highly eroded and sinuous. Slip on the Khunayzira fault branches onto four fault traces near the junction with the WAF. No cross-cutting relationship is observed between the Khunayzira and WAF. These data contradict the idea that strike-slip motion on the WAF terminates and is transferred to dip slip along the Khunayzira fault. Our data agree with the more complex model of the Dead Sea pull-apart basin, that explain the activity of the transverse faults as younger than the formation of the basin. Paleostress calculations based on fault-slip data of the WAF and the faults of the Upper Cretaceous rock show two stress fields. The first is characterized by WNW compression and NNE tension, which represent the Syrian Arc stress field. The second is characterized by NNW compression and ENE tension, which represents the Dead Sea stress field.

IEEE International Conference on Acoustics Speech and Signal Processing, 2002

This paper describes three algorithms for automatic radio station detection based on the shape of... more This paper describes three algorithms for automatic radio station detection based on the shape of power spectrum. The objective is to find the number of active stations and for each of them to estimate the bandwidth and carrier frequency. All three algorithms are grouping spectrum components into clusters that are assumed to correspond to active radio stations. The first algorithm

2013 IEEE Global Engineering Education Conference (EDUCON), 2013

ABSTRACT This paper addresses an interdisciplinary approach integrating evaluation of an educatio... more ABSTRACT This paper addresses an interdisciplinary approach integrating evaluation of an educational issue with Artificial Neural Network (ANN) modeling. Specifically, it is concerned with ANN modeling of two Computer Assisted Learning (CAL) packages/modules using various learning rate values. Both packages are considered for teaching a mathematical topic: “How to solve long division problem?”. They have been submitted at the fifth grade classroom level in elementary schools (as a case study with or without associated teacher's voice). Furthermore, after the application of the suggested CAL packages, practical findings have been compared with classical learning obtained results. Interestingly, all findings are shown to be in agreement with simulation results after running the introduced realistic ANN model. Finally, this work investigated well how measured mathematical teaching quality could be fairly improved via assessment of two learning parameters' performance (achievement level & response time).

2014 IEEE Global Engineering Education Conference (EDUCON), 2014

ABSTRACT This paper explores a relatively new methodological approach for the field integrating l... more ABSTRACT This paper explores a relatively new methodological approach for the field integrating learning and education, with other research areas, such as neurobiological, cognitive, and computational sciences. Specifically, presented work is an interdisciplinary piece of research aiming to simulate appropriately a challenging and critical issue concerned with academic performance in e-learning systems. Namely, considering face to face tutoring phenomenon observed while an interactive e-learning process is performed. Referring to strong interest announced by educationalists to know how neurons' synapses inside the brain are interconnected. Together to perform communication processing among brain regions. Herein, a special attention has been developed towards dynamical academic evaluation of timely based brain learning via face to face (FTF) interactive tutoring. In other words, this piece of research presents an interdisciplinary realistic dynamic investigation. For academic performance phenomenon associated with e-learners' contribution as time response performed human's brain neuronal function. Accordingly, Artificial Neural Networks (ANNS) have been adopted for realistic modeling of academic performance evaluation based on timely dependant student's response till attaining learning convergence (desired output). After running of designed realistic simulation program, some interesting results have been presented. Interestingly, individual differences' phenomenon observed via after statistical analysis of obtained simulation results.

Proceeding of the International Conference on e-Education, Entertainment and e-Management, 2011

This work addresses a rather challenging and interesting interdisciplinary educational issue. It ... more This work addresses a rather challenging and interesting interdisciplinary educational issue. It integrates the analysis and evaluation of natural brain language processing with phonics reading (pronunciation) methodology. Specifically, presented paper concerned with searching for an optimal educational methodology for teaching children “how to read?”. That's by adopting a simplified neuronal mechanism observed model while human brain speech / pronunciation function is performed. Consequently, the presented modeling of phonics reading methodology adopts the observed behavioral characterizations of brain neural networks. Additionally, mathematical formulation is given considering the suggested reading methodology. Objectively, in order to justify its optimality in teaching children how to read. It's motivated by a biologically (naturally) inspired artificial neural network (ANN) model considering associative brain function, between two visual and audible signals. Accordingly, the mathematical formulation introduced herein, has been fulfilled realistically via ANN modeling of self-organized learning paradigm, originated from biological basis of Hebbian learning rule.

2011 IEEE Global Engineering Education Conference (EDUCON), 2011

Recently, educationalists have adopted interesting research work concerned with realistic modelin... more Recently, educationalists have adopted interesting research work concerned with realistic modeling of human's cooperative learning phenomenon. That's by investigation of its analogy with natural behavioral learning aspects , observed by swarm intelligence of social insects colonies. Herein, this paper presents a realistic mathematical modeling of cooperative e-learning which inspired from cooperative behavioral learning observed by one type of Ant Colony System (ACS). More specifically, presented modeling motivated by qualitative analysis of observed behavioral learning performance of ACS type namely: Temnothorax albipennis. In nature, this ACS type observed to perform cooperative behavioural learning on the basis of tandem running technique. Objectively, this colony agents (ants) search for optimal algorithmic solution of foraging process by performing interactive technique. That's involves learning by interactive communication (positive feedback) between two ants (Follower/Leader) controlling trade-off between speed and accuracy.Interestingly, the analogy between introduced ACS models and corresponding Artificial Neural Networks models is presented.

This piece of research addresses an interdisciplinary, challenging and interesting learning issue... more This piece of research addresses an interdisciplinary, challenging and interesting learning issue. More specifically, it deals with analytical and quantitative study comparing two suggested naturally inspired behavioral learning systems. In other words, this study presents an investigational comparison between two diverse realistic models of biological systems. Namely, these systems are associated with learning at mammalian (Pavlovian) and Ant Colony Systems. Introduced investigations have included behavioral responsive functions, for learning process contributed inside brain neural system (number of neurons), as well as Ant Colony Optimization ACO. Additionally, this work revealed an interesting analogy between both suggested systems considering adaptive mathematical learning equations and algorithms. Moreover, analogous results have been introduced for suggested system versus animal learning performance considering spikes (pulsed) neurons approach.

This piece of research addresses an interesting comparative performance analysis and evaluation s... more This piece of research addresses an interesting comparative performance analysis and evaluation study for behavioral learning versus ant colony optimization. It considers two conceptual diverse algorithmic computational intelligence approaches. Both are related tightly to Neural and Non-Neural Systems respectively. The first algorithmic intelligent approach concerned with observed practically obtained results after one of neural animal systems’ activities. Namely, a mouse's active trials to reach an optimal solution for a reconstruction problem during its movement inside figure of eight (8) maze. Conversely, the second approach originated from realistic simulation results observed for Non-Neural system's activities namely: Ant Colony System (ACS). Obtained results have been reached while ACS is searching for an optimal solution of Traveling Sales-man Problem (TSP). Herein, some interesting observations have been introduced which concerned with similarity of enhancement for either learning systems under comparison. That enhanced/improved performance observed due to the effect of increase intelligent agent's number (either neurons or ants). Considering simulation of both adopted biological systems by Artificial Neural Network (ANN), results in very interesting findings. Furthermore, both have shown to be in agreement with learning convergence of an ANN learning model, while searching for optimal solution adopting Least Mean Square Error (LMS) Algorithm.

Abstract: Generally, Analysis of learning creativity phenomenon is an interesting and challenging... more Abstract: Generally, Analysis of learning creativity phenomenon is an interesting and challenging issue associated with educational practice. Moreover, that phenomenon is tightly related to main human brain functions (Learning and Memory). So, creative individuals are characterized ...

This piece of research adopts the conceptual approach of (ANN) models inspired by functioning of ... more This piece of research adopts the conceptual approach of (ANN) models inspired by functioning of highly specialized biological neurons in reading brain based on the organization the brain's structures/substructures. Additionally, in accordance with the prevailing concept of individual intrinsic characterized properties of highly specialized neurons, presented models closely correspond to performance of these neurons for developing reading brain in a significant way. More specifically, introduced models concerned with their important role played in carrying out cognitive brain function' outcomes. The cognitive goal for reading brain is to translate that orthographic m into a spoken word (phonological word-form). In this context herein, the presented work illustrates via ANN simulation results: How ensembles of highly specialized neurons could be dynamically involved in performing the cognitive function of developing reading brain.

American Journal of Educational Research, 2015

ABSTRACT Generally, in nature, non-human creatures perform adaptive behaviors to external environ... more ABSTRACT Generally, in nature, non-human creatures perform adaptive behaviors to external environment they are living in. i.e. animals have to keep alive by improving their intelligent behavioral ability to be adaptable to their living environmental conditions. This paper presents an investigational comparative overview on adaptive behaviors associated with two diverse biological systems (Neural and Non-Neural). In more details, intelligent behavioral performance of Ant Colony System (ACS) in order to reach optimal solution of Traveling Sales-man Problem (TSP) is considered. That's investigated herein versus concepts of adaptive behavioral learning concerned with some animals (cats, dogs, and rats), in order to keep survive. More precisely, investigations of behavioral observations tightly related to suggested animals, supposed to obey discipline of biological information processing. So, Artificial Neural Network (ANN) modeling is a relevant tool to investigate such biological system observations. Moreover, an illustrative brief of ACS optimal intelligent behaviors to solve TSP is presented. Additionally, considering effect of noisy environment on learning convergence, an interesting analogy between both proposed biological systems is introduced. Finally, performance of three learning algorithms shown to be analogously in agreement with behavioral concepts of both suggested biological systems' performance. Keywords

This piece of research belongs to the field of educational assessment issue based upon the cognit... more This piece of research belongs to the field of educational assessment issue based upon the cognitive multimedia theory. Considering that theory; visual and auditory material should be presented simultaneously to reinforce the retention of a mathematical learned topic, a carefully computer-assisted learning (CAL) module is designed for development of a multimedia tutorial for our suggested mathematical topic. The designed CAL

Learning creativity is an interesting educational phenomenon usually observed at children classro... more Learning creativity is an interesting educational phenomenon usually observed at children classrooms. Early discovery of individual children having mathematical creativity is a challenging interdisciplinary research issue. This piece of research focuses on quantitative analysis and evaluation of mathematical learning creativity on the basis of acquired "Subjective Domains of Experiences" (SDE) inside children's brain. Acquisition of (SDE) assumed to modify a children's stored experience via application of various multimedia Computer Assisted Learning (CAL) packages (modules). Accordingly, fairly assessment of mathematical learning time response has been adopted herein for analysis and evaluation of learning creativity acquired by (SDE). By some details, early discovery of creativity could be performed well in accordance with obtained learning assessment results. That is after solving correctly a suggested mathematical topic (at children classrooms).Furthermore, int...

Neurological researchers have recently revealed their findings about increasingly common and soph... more Neurological researchers have recently revealed their findings about increasingly common and sophisticated role of the sixth computer (natural intelligence) generation namely, Artificial neural networks (ANNs). This computer generation is relevantly applicable to implement realistic learning models originated from interdisciplinary discipline incorporating neuroscience, education, and cognitive sciences. Consequently, implemented realistic models have diverse structural paradigms, in consequence with natural characterized features of brain functioning assigned for modeling. This paper specifically addressed an interdisciplinary research work problem originated from quantitative evaluation of neuronal mechanism for reading languages' preliminary phases. Briefly, it concentrates on a very interesting and challenging issue tightly associated to quantitative learning performance of vocabulary evaluation at early infancy of human brain, while that affected with mother's speech. T...

This paper addresses a challenging problem concerned basically with realistic optimal computer-ba... more This paper addresses a challenging problem concerned basically with realistic optimal computer-based educational simulations. More specifically, it searches for an optimally designed computational tool(s), such as software learning package(s), applied to teaching a specified curriculum in classroom. Herein, quantitative evaluation as well as statistical analysis of the learning environment nature have been considered for optimal learning systems' performance. Recently, this learning issue has gained significance due to the integration of information technology into educational/instructional practical operations. Accordingly, two learning parameters -that are candidates to measure effectiveness and efficiency of such packages- are elected to support the optimal selection of a relevant software learning package SWLP. These parameters -after establishing how to measure results and performance of the learning process- are: the output learning level, which evaluates obtained educatio...

The world heritage of handwritten Arabic documents is huge however only manual indexing and retri... more The world heritage of handwritten Arabic documents is huge however only manual indexing and retrieval techniques of the content of these documents are available. To facilitate an automatic retrieval of such hand-written Arabic document, a number of automatic recognition systems for handwritten Arabic words have been proposed. Nevertheless, these systems suffer from low recognition accuracy due to the peculiarities of the handwritten Arabic language. Thus, in this Paper we propose a segmentation based recognition system for handwritten Arabic words. We divide a handwritten word into smaller pieces of a word and then these small pieces are segmented into candidate letters. These candidate letters are converted into their correspondence chain-code representation. Thereafter we extract discrete, statistical and structural features for classifica-tion. Additionally, we introduce a novel active contour based feature to increase the recognition accuracy of strongly deformed Arabic letters....

Stephan Mueller Special Publication Series, 2001

Detailed stratigraphic and structural study of the southeast Dead Sea basin along the Dead Sea Tr... more Detailed stratigraphic and structural study of the southeast Dead Sea basin along the Dead Sea Transform in Jordan was carried out in order to determine the deformation history and processes of pullapart basin formation. Fieldwork focused on mapping and collecting structural orientation data in the area of the intersection of the NE-trending, strike-slip Wadi Araba fault (WAF) and the NW-trending, dip-slip Khunayzira fault. The recent movement on the WAF shows spectacular polished fault planes, slickensides, and Riedel and conjugate Riedel shears. During the Late Quaternary the position of the WAF shifted west toward the basin. This is evident from a series of pressure ridges and exposed positive flower structures that do not deform the lacustrine deposits of the Lisan formation (63-15 ka). The Khunayzira fault makes a prominent, curvilinear 50 m-high scarp that trends SE-NW. In the study area, the scarp is highly eroded and sinuous. Slip on the Khunayzira fault branches onto four fault traces near the junction with the WAF. No cross-cutting relationship is observed between the Khunayzira and WAF. These data contradict the idea that strike-slip motion on the WAF terminates and is transferred to dip slip along the Khunayzira fault. Our data agree with the more complex model of the Dead Sea pull-apart basin, that explain the activity of the transverse faults as younger than the formation of the basin. Paleostress calculations based on fault-slip data of the WAF and the faults of the Upper Cretaceous rock show two stress fields. The first is characterized by WNW compression and NNE tension, which represent the Syrian Arc stress field. The second is characterized by NNW compression and ENE tension, which represents the Dead Sea stress field.

IEEE International Conference on Acoustics Speech and Signal Processing, 2002

This paper describes three algorithms for automatic radio station detection based on the shape of... more This paper describes three algorithms for automatic radio station detection based on the shape of power spectrum. The objective is to find the number of active stations and for each of them to estimate the bandwidth and carrier frequency. All three algorithms are grouping spectrum components into clusters that are assumed to correspond to active radio stations. The first algorithm

2013 IEEE Global Engineering Education Conference (EDUCON), 2013

ABSTRACT This paper addresses an interdisciplinary approach integrating evaluation of an educatio... more ABSTRACT This paper addresses an interdisciplinary approach integrating evaluation of an educational issue with Artificial Neural Network (ANN) modeling. Specifically, it is concerned with ANN modeling of two Computer Assisted Learning (CAL) packages/modules using various learning rate values. Both packages are considered for teaching a mathematical topic: “How to solve long division problem?”. They have been submitted at the fifth grade classroom level in elementary schools (as a case study with or without associated teacher's voice). Furthermore, after the application of the suggested CAL packages, practical findings have been compared with classical learning obtained results. Interestingly, all findings are shown to be in agreement with simulation results after running the introduced realistic ANN model. Finally, this work investigated well how measured mathematical teaching quality could be fairly improved via assessment of two learning parameters' performance (achievement level & response time).

2014 IEEE Global Engineering Education Conference (EDUCON), 2014

ABSTRACT This paper explores a relatively new methodological approach for the field integrating l... more ABSTRACT This paper explores a relatively new methodological approach for the field integrating learning and education, with other research areas, such as neurobiological, cognitive, and computational sciences. Specifically, presented work is an interdisciplinary piece of research aiming to simulate appropriately a challenging and critical issue concerned with academic performance in e-learning systems. Namely, considering face to face tutoring phenomenon observed while an interactive e-learning process is performed. Referring to strong interest announced by educationalists to know how neurons' synapses inside the brain are interconnected. Together to perform communication processing among brain regions. Herein, a special attention has been developed towards dynamical academic evaluation of timely based brain learning via face to face (FTF) interactive tutoring. In other words, this piece of research presents an interdisciplinary realistic dynamic investigation. For academic performance phenomenon associated with e-learners' contribution as time response performed human's brain neuronal function. Accordingly, Artificial Neural Networks (ANNS) have been adopted for realistic modeling of academic performance evaluation based on timely dependant student's response till attaining learning convergence (desired output). After running of designed realistic simulation program, some interesting results have been presented. Interestingly, individual differences' phenomenon observed via after statistical analysis of obtained simulation results.

Proceeding of the International Conference on e-Education, Entertainment and e-Management, 2011

This work addresses a rather challenging and interesting interdisciplinary educational issue. It ... more This work addresses a rather challenging and interesting interdisciplinary educational issue. It integrates the analysis and evaluation of natural brain language processing with phonics reading (pronunciation) methodology. Specifically, presented paper concerned with searching for an optimal educational methodology for teaching children “how to read?”. That's by adopting a simplified neuronal mechanism observed model while human brain speech / pronunciation function is performed. Consequently, the presented modeling of phonics reading methodology adopts the observed behavioral characterizations of brain neural networks. Additionally, mathematical formulation is given considering the suggested reading methodology. Objectively, in order to justify its optimality in teaching children how to read. It's motivated by a biologically (naturally) inspired artificial neural network (ANN) model considering associative brain function, between two visual and audible signals. Accordingly, the mathematical formulation introduced herein, has been fulfilled realistically via ANN modeling of self-organized learning paradigm, originated from biological basis of Hebbian learning rule.

2011 IEEE Global Engineering Education Conference (EDUCON), 2011

Recently, educationalists have adopted interesting research work concerned with realistic modelin... more Recently, educationalists have adopted interesting research work concerned with realistic modeling of human's cooperative learning phenomenon. That's by investigation of its analogy with natural behavioral learning aspects , observed by swarm intelligence of social insects colonies. Herein, this paper presents a realistic mathematical modeling of cooperative e-learning which inspired from cooperative behavioral learning observed by one type of Ant Colony System (ACS). More specifically, presented modeling motivated by qualitative analysis of observed behavioral learning performance of ACS type namely: Temnothorax albipennis. In nature, this ACS type observed to perform cooperative behavioural learning on the basis of tandem running technique. Objectively, this colony agents (ants) search for optimal algorithmic solution of foraging process by performing interactive technique. That's involves learning by interactive communication (positive feedback) between two ants (Follower/Leader) controlling trade-off between speed and accuracy.Interestingly, the analogy between introduced ACS models and corresponding Artificial Neural Networks models is presented.