
B. T. Sayed- PhD
- Professor (Associate) at Dhofar University
B. T. Sayed
- PhD
- Professor (Associate) at Dhofar University
Education Management, Graduate Attributes, Learning Outcomes, Qualification Frameworks, Vocational Competencies
About
69
Publications
26,979
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331
Citations
Introduction
"Learning Outcomes Blaze" Software is aimed to Scientifically Measure the Delivery and Attainment of Graduate Attributes, Program Learning Outcomes, Course Learning Outcomes, Qualification Frameworks and Vocational Competencies in OBE based Higher Education System. In Addition to Development of Human and Knowledge Attributes, Enhancements to eCommerce, Smart Grid Power Technology through Knowledge Management Systems and Methodologies to Strengthen Higher Educational System is a Key Working Area.
Skills and Expertise
Current institution
Publications
Publications (69)
This research is dedicated to exploring and identifying the most effective design for an energy source tailored specifically to meet the electricity demands of a residential community. In an era where energy efficiency and sustainability are paramount, this study emphasizes the importance of technical and economic considerations in energy sourcing....
There has been a surge in employing artificial intelligence (AI) in all areas of language pedagogy, not the least among them language testing and assessment. This study investigated the effects of AI-powered tools on English as a Foreign Language (EFL) learners' speaking skills, psychological well-being, autonomy, and academic buoyancy. Using a con...
The one-phase brushless DC motor (BLDC) has become indispensable in-home appliances due to its high-power density, flexible control, and straightforward driving circuit, outperforming induction and universal motors. Additionally, it ensures higher efficiency across a wide range of speed-torque loads. This paper introduces a pioneering real-time con...
One of the systems needed to improve vehicle safety is the traction control system (TCS). This control mechanism keeps the wheels from slipping too much when the car accelerates, especially when it moves quickly. Because of the significant nonlinear behavior of the tire during acceleration and the unknown impacts of the road surface, it might be di...
There has been a surge in employing artificial intelligence (AI) in all areas of language pedagogy, not the least among them language testing and assessment. This study investigated the effects of AI-powered tools on English as a Foreign Language (EFL) learners’ speaking skills, psychological well-being, autonomy, and academic buoyancy. Using a con...
This paper presents a novel machine learning model designed to predict residual stress and equivalent plastic deformation in metallic alloys undergoing surface mechanical attrition treatment. The dataset used for training was generated by numerically simulating surface mechanical attrition treatment on various alloys, such as SS316L, NiTi, Ti64, Al...
Locating facilities such as factories or warehouses is an important and strategic decision for any organization. Transportation costs, which often form a significant part of the price of goods offered, are a function of the location of the plans. To determine the optimal location of these designs, various methods have been proposed so far, which ar...
This research compared the impacts of computerized formative assessment (CFA) and computerized dynamic assessment (CDA) on students’ motivation, reading self-concept, autonomy, and self-regulation. Out of a total of 123 Bangladeshi pupils, 87 participants were carefully chosen as the study’s sample subject based on the Preliminary English Test (PET...
The current study aimed to establish a machine learning (ML) framework to predict key parameters, namely the degree of strain localization (φ), elastic recovery (Erec), and maximum force needed (Fmax), in the nano-imprinting process of CuZr metallic glasses (MGs). The ML model incorporated both structural features and imprinting process parameters...
The present study used three well-known white-box data-driven models, including multivariate adaptive regression splines (MARS), gene expression programming (GEP), and group method of data handling (GMDH), for generating explicit formulas for the prediction of thermal conductivity of the soil \((\lambda )\). Therefore, 40 soil samples and three inp...
A combination of nanoindentation mapping and machine-earning (ML) modeling has been used to characterize the microstructural changes in SnPb solder balls exposed to thermal cycling. The model facilitated the microstructural evaluation of solder bumps through the prediction of microscale variations of Young’s modulus in the joint zone. The outcomes...
In coastal and port engineering, wind-generated waves have always been a crucial, fundamental, and important topic. As a result, various methods for estimating wave parameters, including field measurement and numerical methods, have been proposed over time. This study evaluates the wave height at Sri-Lanka Hambantota Port using soft computing model...
The internal components of a smart building interact through a compatible fabric and logic. A smart building integrates systems, structure, services, management, and their interrelationships to create a dynamic and cost-efficient environment. Smart buildings reduce the amount of cooling and heating load required to cool and heat spaces, thereby low...
One of the most important challenges in electricity distribution companies is the use of unauthorized electricity or electricity theft, which is an important factor in reducing the income of electricity distribution companies. The number of subscribers as well as the large amount of data related to their consumption is increasing rapidly, and the t...
A hybrid machine learning method is proposed for wildfire susceptibility mapping. For modeling a geographical information system (GIS) database including 11 influencing factors and 262 fire locations from 2013 to 2018 is used for developing an integrated multivariate adaptive regression splines (MARS). The cat swarm optimization (CSO) algorithm tun...
The rainfall-runoff process is one of the most complex hydrological phenomena. Estimating runoff in the basin is one of the main conditions for planning and optimal use of rainfall. Using machine learning models in various sciences to investigate phenomena for which statistical information is available is a helpful tool. This study investigates and...
In recent years, significant endeavors have been made to develop environmentally friendly fuels due to the detrimental effects of fossil fuels on ecosystem such as global warming, acid rain and air pollution. Alternative biodiesel transport fuel (ABTF) has shown their noteworthy potential of application due to having significant advantages such as...
A Unique Innovative Scientific Software Tool based on a Patented Methodology to Measure the Delivery and Attainment of Graduate Attributes, Program Learning Outcomes and Course Learning Outcomes !!!
A Unique Innovative Scientific Software Tool based on a Patented Methodology to Measure the Delivery and Attainment of Graduate Attributes, Program Learning Outcomes and Course Learning Outcomes !!!
A Unique Innovative Scientific Software Tool based on a Patented Methodology to Measure the Delivery and Attainment of Graduate Attributes, Program Learning Outcomes and Course Learning Outcomes !!!
A Unique Innovative Scientific Software Tool based on a Patented Methodology to Measure the Delivery and Attainment of Graduate Attributes, Program Learning Outcomes and Course Learning Outcomes !!!
A Unique Innovative Scientific Software Tool based on a Patented Methodology to Measure the Delivery and Attainment of Graduate Attributes, Program Learning Outcomes and Course Learning Outcomes !!!
The Levy Flight Rock Hyraxes Swarm Optimization (RHSO)-based Recurrent Neural Network (LFRHSO-RNN) was proposed which EDM identifies the students’ performance utilizing their records together with staff opinions. On that manipulated data, Hadoop Distributed File System (HDFS) in addition to Map Reduce (MR) is executed. It saves the map reduced Big...
Today, due to the size of metropolitan areas and population growth, the issue of school services, as well as routing for each service, has become of particular importance This study seeks to provide a model for routing school services considering time dependence. In the suggested model for the current research, it is attempted to provide a model th...
Pressure fluctuations are a critical phenomenon that can endanger the safety and stability of hydraulic structures, especially stilling basins. Hence, the accurate estimation of the dimensionless coefficient of pressure fluctuations ( C P ′ ) is critical for hydraulic engineers. This study proposed predictive soft computing models to estimate C P ′...
Core attributes of an outcome based higher educational institution is much associated with the key educational terms such as graduate attributes, program learning outcomes and course learning outcomes. It is the institutional obligation to ensure that these attributes are precisely delivered and attained in sequence. In order to trace and realize i...
We developed a simulation methodology on the basis of machine learning techniques for simulation of pharmaceutical solubility in a supercritical solvent, i.e., CO2 with the perspective of nanodrug production. The X variables considered in this simulation work included pressure and temperature of the system, whereas the response (Y) was considered t...
This study calculates the level of academic program learning outcomes achieved through a course/module/unit within a higher education institution. The study draws on hypothetical data (secondary data), of a computer science course. The approach of the study demonstrates an empirical, reliable, and robust method to measure the level of program learn...
This paper sheds light on intelligent systems and their effect on quality education. The research deals with the implementation of intelligent systems in schools and how they affect the quality of education imparted at various institutions. Further an architecture for intelligent systems is proposed and the evaluation stages are discussed along wit...
Considering the development of technology in the current era, the present research aimed at investigating the effects of reading digital texts vs. reading printed texts on developing Iranian intermediate EFL learners’ reading comprehension. To this end, the Oxford Quick Placement Test (OQPT) was administered to 93 language learners, and 60 of them...
The usage of Artificial intelligence in medical arena has proved to be a game changer in the detection and diagnosis of several medical conditions. In the current digital era, children with stressful medical issues are suffering from Deep Obsessive-Compulsive Disorder (DOCD). This kind of mental stress occurs in children because of the continuous u...
Incorporating games into learning a foreign language is an effective strategy that can lower students’ stress and improve their learning. Thus, this study tried to examine the impacts of Kahoot as a game-based learning tool on Iranian EFL learners’ vocabulary recall and retention. To this end, 50 Iranian intermediate learners were chosen for the pa...
In the field of biomedicine, drug discovery is the cycle by which new and upcoming medicines are tested and invented to cure ailments. Drug discovery and improvement is an extensive, complex, and exorbitant cycle, settled in with a serious extent of vulnerability that a drug will really be successful or not. Developing new drugs have several challe...
Expert system (ES) is a branch of artificial intelligence (AI) that is used to manage different problems by making use of interactive computer-based decision-making process. It uses both factual information and heuristics to resolve the complicated decision-making issues in a specific domain. The architecture of the expert system was analyzed and f...
An outcome based educational setting is immensely recognized by the quality of delivered educational attributes aligned to the institutional core initiatives such as vision, mission and core values. These educational attributes basically represent a general terminology called learning outcomes. The learning outcomes are commonly formed and shaped t...
High dimensional data are difficult to view in two-dimensional plot. However , having a mechanism to reduce to a selected number of salient features that can well present the data is essential. We attempted to reduce N dimensional data to two-dimensional data using the combination of Information Gain (IG) and Principal Component Analysis (PCA) and...
Present study is based on the development and characterization of a sized biased distribution based on a basic
probability distribution developed by Siddiqui (2016). Distributions of first and nth order statistic of this new SBBDS have
been developed. Some important mathematical features of the newly developed distributions have been studied.
Failure of assets at downstream level of Smart Power Grid being barely addressed, subsequently hoarding lots of superfluous human hours, depletion of valuable time and resources, inefficient and untimely rectification of problems leading to concerns of inefficient operations and hefty loss to the power grid organization in all its aspects. There is...
Failure of assets at downstream level of Smart Power Grid being barely addressed, subsequently hoarding lots of superfluous human hours, depletion of valuable time and resources, inefficient and untimely rectification of problems leading to concerns of inefficient operations and hefty loss to the power grid organization in all its aspects. There is...
Industries and employers with constant lookout of capable and skilled graduates, usually struggle to get the right candidate for the right job. Consecutively, to sustain explicit delivery of quality education, benchmarked with international level standards and portfolios, endorsed educational supremacies and its educational subsidiaries have been o...
Healthcare and technology are the most advancing fields where change and innovation happens regularly. The use of genetics in health care has caused a tremendous transformation in the approach people are being treated. Equivalently, the use of artificial intelligence has revolutionised the information technology and brought it to the doorsteps. Art...
Air Traffic Controllers play a vital role in managing and directing flights both in and off the air. The most challenging task assigned to the controllers is to avoid collisions and to plan routes for the flights and make sure that these flights take off and reach the destination airports in time. Most of the route planning in such cases is done in...
While shifting from one outcome based educational system to another one, a student needs to gain the benefit of credits transfer for all or most of his/her attained credits, followed by the policy and procedure of the granting institutions. Transfer of attained credits for a relocating student is quite normal and obvious in an outcome based higher...
The research based on knowledge-based information system, follows a pragmatic study of pre-university level educational learning outcomes and the skills gained by the students, to further assess and compare it with the required knowledge and skills needed at the entry gate of the university level education. It will identify the gaps between the two...
While shifting from one outcome based educational system to another one, a student needs to gain the benefit of credits transfer for all or most of his/her attained credits, followed by the policy and procedure of the granting institutions. Transfer of attained credits for a relocating student is quite normal and obvious in an outcome based higher...
The research based on knowledge-based information system, follows a pragmatic study of pre-university level educational learning outcomes and the skills gained by the students, to further assess and compare it with the required knowledge and skills needed at the entry gate of the university level education. It will identify the gaps between the two...
It is evident that the knowledge loss in any organization would lead to professional complications that include loss of vital time, loss of effort, evolve finance loss, affecting day to day organizational operations, almost blocking the growth of an organization to an uncertain period or could even become the core reason towards the failure of a bu...
It is evident that the knowledge loss in any organization would lead to professional complications that include loss of vital time, loss of effort, evolve finance loss, affecting day to day organizational operations, almost blocking the growth of an organization to an uncertain period or could even become the core reason towards the failure of a bu...
The students centered learning is the buzz word in the educational field. Students around the world are becoming matured and making their own choice of what they want to learn. But the percentage is very less. A huge number of students are driven by their friend or parent’s decisions and social media. This leads the students to make some wrong deci...
The world has become the global village for us due to the domination of the technology. We can witness this by seeing the letter ‘E’ in front of every device, business and activity terms, which is being achieved because of the affordable cost of Electronic equipment’s. Nowadays every possible activity of human can be done with less cost due to ‘E’-...
The process of defining and understanding knowledge is directly concerned with creating, storing and sharing the knowledge at various levels within the organization. With a strong and established theoretical base on the theory of knowledge, this paper presents a model that describes and interconnects knowledge processes to reflect the production an...
This paper describes a survey on the students’ knowledge sharing values in Salalah, Sultanate of Oman. The knowledge sharing pyramid model conjectures the three levels in the order of communication, learning and convergence. As explained in the previous publications, communication lies at the bottom crux of knowledge sharing. The communication does...
There have been diversified approaches in developing knowledge management technology as a solution to promote knowledge dissemination, knowledge creation and knowledge sharing in an organization or community. These approaches have strengths and weaknesses of their own with respect to technological advances, user's reception, adaptability and succes...
Formal structure in an organization describes the information about the organizational hierarchies, responsibilities, functions and workflows which are stated explicit in printed form such as reports and manuals. The information is important for formality purposes and professional activities in getting the right job done by the right people. Inform...
The recent buzz word in the technology is Internet of Things (IoT). It converts the electrical and electronics devices smart, intelligent and work collaboratively without much intervention of human. Traditional teaching and learning methodology is still incomparable with the technological influenced E and M learning methodologies. E and M learning...
The definition of smart city varies on public and Government perspectives. In general, easy, cost effective and timely accessibility of the resources for all levels of people with their personal involvement and technological development keeps the city smart. The state-of-the-art Internet of Things (IoT) technologywith sensing devices play a major r...
It can be acknowledged that the notion about the importance of Knowledge Management (KM) has been widely accepted and many researchers have devoted into making it a successful story. Even though it is a broad and multidisciplinary subject in nature, researchers have been working on a well-focused area of the entire scope in KM. Many of the research...
With the fact that any developing country would get into the process of digitization, aiming the key advantage to overcome the geographical precincts, enable faster and efficient services and uphold the quality of services, our research proposes a prototype towards establishing an eGovernance & digitization centre in order to effectively fill in th...
There are various innovation models that were discussed in the literature and the adoption is based on the organizational needs for their business contexts, vision and applications. These innovation models require effective innovation process framework to be followed. SECI Model has been chosen as knowledge creation model to facilitate innovation t...
Enhancement in distribution and management of electrical energy systems is one of the prominent and equally promising aspects to any sort of economical development in a country. Though the researches to further enhance the production, distribution and management of electrical power energy is vast, addressing the loss and wastage of power energy due...
The latest advances in mobile computing, hardware, and software empower end users worldwide through a range of mobile devices with improved and novel capabilities. The result is intense competition among providers of online social services for mobile users regardless of location and profile, along with numerous mobile social networking (MSN) applic...
Creation and maintenance of knowledge management systems has been recognized as an important research area. Consecutively lack of accurate results from knowledge management systems limits the organization to apply their knowledge management processes. This leads to a failure in getting the right information to the right people at the right time thu...
Questions
Questions (13)
How do you correlate the impact of quality education with personal life?
What do you think is the future of a Virtual Learning Environment?
Social chats & gossips to a limit, could be a motivation and support but what if the other way around, if it affects your regular schedule to delays ?
Assume a team of 10 members including the team leader. If one member does not contribute, as desired, what would be its negative impact towards the deadline of completing the task ? Answer in % is advisable.
e.g.: 100% or <90% or <80% or <70% and so on....
With the fact that you could see different characters in a team, with some contributing to the peak, as desired, and others not !!!
Is it viable to preserve the mapping of certain Course Learning Outcome to specific Program Learning Outcomes? If yes, then with the fact that the course delivery needs regular progression, how long will it sustain?