أثر تصميم نظام خبير تعليمي علي تنمية مهارات إنتاج المقررات الإلكترونية لدى طلاب الدراسات العليا بكلية التربية = The Impact of Instructional Design Expert System in Developing the Skills of Producing Electronic Courses among Graduate Students at the Faculty of Education

2015 ◽  
pp. 205-239
Author(s):  
محمد الشناوي أمين الصعيدي ◽  
جمال مصطفى الشرقاوي ◽  
رشا أحمد إبراهيم
Keyword(s):  
Instructional Design ◽  
Expert System ◽  
Graduate Students ◽  
Design Expert ◽  
Faculty Of Education ◽  
The Impact

scholarly journals Knowledge Acquisition and Representation for High-Performance Building Design: A Review for Defining Requirements for Developing a Design Expert System

2021 ◽  
Vol 13 (9) ◽  
pp. 4640
Author(s):  
Seung-Yeoun Choi ◽  
Sean-Hay Kim
Keyword(s):  
Decision Support ◽  
Expert System ◽  
Expert Systems ◽  
Knowledge Acquisition ◽  
Data Analytics ◽  
High Performance ◽  
Problem Definition ◽  
Design Expert ◽  
Decision Support Process ◽  
High Performance Building

New functions and requirements of high performance building (HPB) being added and several regulations and certification conditions being reinforced steadily make it harder for designers to decide HPB designs alone. Although many designers wish to rely on HPB consultants for advice, not all projects can afford consultants. We expect that, in the near future, computer aids such as design expert systems can help designers by providing the role of HPB consultants. The effectiveness and success or failure of the solution offered by the expert system must be affected by the quality, systemic structure, resilience, and applicability of expert knowledge. This study aims to set the problem definition and category required for existing HPB designs, and to find the knowledge acquisition and representation methods that are the most suitable to the design expert system based on the literature review. The HPB design literature from the past 10 years revealed that the greatest features of knowledge acquisition and representation are the increasing proportion of computer-based data analytics using machine learning algorithms, whereas rules, frames, and cognitive maps that are derived from heuristics are conventional representation formalisms of traditional expert systems. Moreover, data analytics are applied to not only literally raw data from observations and measurement, but also discrete processed data as the results of simulations or composite rules in order to derive latent rule, hidden pattern, and trends. Furthermore, there is a clear trend that designers prefer the method that decision support tools propose a solution directly as optimizer does. This is due to the lack of resources and time for designers to execute performance evaluation and analysis of alternatives by themselves, even if they have sufficient experience on the HPB. However, because the risk and responsibility for the final design should be taken by designers solely, they are afraid of convenient black box decision making provided by machines. If the process of using the primary knowledge in which frame to reach the solution and how the solution is derived are transparently open to the designers, the solution made by the design expert system will be able to obtain more trust from designers. This transparent decision support process would comply with the requirement specified in a recent design study that designers prefer flexible design environments that give more creative control and freedom over design options, when compared to an automated optimization approach.

scholarly journals Putting the world back to work: An expert system using big data and artificial intelligence in combating the spread of COVID-19 and similar contagious diseases

Work ◽  
2020 ◽  
Vol 67 (3) ◽  
pp. 557-572
Author(s):  
Said Tkatek ◽  
Amine Belmzoukia ◽  
Said Nafai ◽  
Jaafar Abouchabaka ◽  
Youssef Ibnou-ratib
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Expert System ◽  
Population Monitoring ◽  
High Definition ◽  
Contagious Diseases ◽  
The World ◽  
General Guide ◽  
The Impact ◽  
Back To Work

BACKGROUND: To combat COVID-19, curb the pandemic, and manage containment, governments around the world are turning to data collection and population monitoring for analysis and prediction. The massive data generated through the use of big data and artificial intelligence can play an important role in addressing this unprecedented global health and economic crisis. OBJECTIVES: The objective of this work is to develop an expert system that combines several solutions to combat COVID-19. The main solution is based on a new developed software called General Guide (GG) application. This expert system allows us to explore, monitor, forecast, and optimize the data collected in order to take an efficient decision to ensure the safety of citizens, forecast, and slow down the spread’s rate of COVID-19. It will also facilitate countries’ interventions and optimize resources. Moreover, other solutions can be integrated into this expert system, such as the automatic vehicle and passenger sanitizing system equipped with a thermal and smart High Definition (HD) cameras and multi-purpose drones which offer many services. All of these solutions will facilitate lifting COVID-19 restrictions and minimize the impact of this pandemic. METHODS: The methods used in this expert system will assist in designing and analyzing the model based on big data and artificial intelligence (machine learning). This can enhance countries’ abilities and tools in monitoring, combating, and predicting the spread of COVID-19. RESULTS: The results obtained by this prediction process and the use of the above mentioned solutions will help monitor, predict, generate indicators, and make operational decisions to stop the spread of COVID-19. CONCLUSIONS: This developed expert system can assist in stopping the spread of COVID-19 globally and putting the world back to work.

From theory to practice: Jewish and Arabs students in academia practice multicultural education

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Asmahan Masry-Herzallah ◽  
Meital Amzalag
Keyword(s):  
Graduate Students ◽  
Multicultural Education ◽  
Older Students ◽  
Content Type ◽  
Global Era ◽  
Positive Attitudes ◽  
Jewish Students ◽  
Arab Students ◽  
Research Findings ◽  
Faculty Of Education

PurposeThe research examined factors of academic studies as perceived by Jewish and Arab students in Israel, and changes in their implementation of activities in a multicultural context in the field of education, comparing between undergraduates studying for a BA in education and graduate students for MA in education and attending a course titled “Multiculturalism in the Global Era”.Design/methodology/approachThe findings are derived from a questionnaire distributed to Arab and Jewish students (N = 434), studying together in the Faculty of Education of one academic college in Israel. In total, 251 of them were graduate students, and 183 who were undergraduates.FindingsIt was found that insofar as the students from either programme acquired knowledge and tools regarding multiculturalism, they reported (1) more positive attitudes regarding the “Other” group and regarding multiculturalism, (2) implementation of a larger number of activities relating to multiculturalism in the field of education, (3) Arab students performed more activities in multicultural contexts and (4) older students performed a larger number of activities in multicultural contexts. The research findings also indicated a direct relation between participation in the course and activities conducted in the field of education. In addition, students' acquiring of knowledge on multiculturalism mediated the relation between participation in the course and implementation of multicultural activities in the field of education.Originality/valueThe research stresses the importance of higher education institutions in promoting knowledge and practice of multiculturalism in Israeli society.

Risk, the College Premium, and Aggregate Human Capital Investment

2021 ◽  
Vol 13 (2) ◽  
pp. 168-213
Author(s):  
Kartik Athreya ◽  
Janice Eberly
Keyword(s):  
Human Capital ◽  
Graduate Students ◽  
College Readiness ◽  
Capital Investment ◽  
College Education ◽  
College Attainment ◽  
Biased Technological Change ◽  
Quantitative Results ◽  
The Impact ◽  
College Premium

Despite increases in the college earnings premium to persistently high levels, investment in college education remains low. We can understand this apparent puzzle by considering the risk of attending college and, in particular, the possibility of failing to graduate. Students with a reasonable probability of completing college already enroll, and for those who do not enroll, the low chance of completion blunts the impact of the rising college premium. In the absence of improved college readiness, our quantitative results suggest that continuing long-standing trends in skill-biased technological change can be expected primarily to increase earnings inequality rather than college attainment. (JEL E24, I22, I23, J24, J31, O33)

scholarly journals The Impact of Microteaching on Professional Competencies of Pre-Service Teachers of Students with Learning Disabilities

2016 ◽  
Vol 4 (2) ◽  
pp. 1
Author(s):  
Mohammad Mousa AL-Salahat ◽  
Suhib Saleem Saleem
Keyword(s):  
Learning Disabilities ◽  
Student Teachers ◽  
Professional Competence ◽  
Professional Competencies ◽  
Students With Learning Disabilities ◽  
Service Training ◽  
Resource Rooms ◽  
Faculty Of Education ◽  
The University ◽  
The Impact

The aim of the present study was to examine the impact of microteaching on professional competence among four pre-service student teachers enrolled in the program of special education for students of learning disabilities in the Faculty of Education. The researchers indicated the theoretical conceptions of professional competencies, pre-service training, practicum in learning disabilities, and microteaching. The study conducted through three stages: baseline, intervention, and follow up. The researchers used a checklist as the tool of the study. The study was conducted during the field training of the subjects as they were asked to prepare and carry out the entire individual teaching lesson in the resource rooms affiliated to the public education schools. Microteaching sessions were also administrated at the university campus in Najran. The results of the study indicated significant improvements in the professional competencies among the four pre- service students as it was moderate at baseline (68%) for the four participating pre-service students. The subjects maintained the targeted skills in one measurement and after two weeks of the study (89%) indicating the significance of the microteaching in developing pre- service teachers required skills.

scholarly journals Gaudii: An Automated Graphic Design Expert System

2021 ◽  
Vol 24 (2) ◽  
pp. 1775-1780
Author(s):  
Carlos Glez-Morcillo ◽  
Victor Martin ◽  
David Vallejo Fernandez ◽  
Jose Castro-Schez ◽  
Javier Albusac
Keyword(s):  
Fuzzy Logic ◽  
Expert System ◽  
Evolutionary Computation ◽  
Graphic Design ◽  
Expert Knowledge ◽  
Trial And Error ◽  
Design Elements ◽  
Design Expert ◽  
Novel Approach ◽  
Design Activities

Graphic design is the process of creating graphics to meet specific commercial needs based on knowledge of layout principles and esthetic concepts. This is usually an iterative trial and error process which requires a lot of time even for expert designers. This expert knowledge can be modelled, represented and used by a computer to perform design activities. This paper describes a novel approach named Gaudii (standing for "Intelligent Automated Graphic Design Generator") which utilizes principles and techniques known from the fields of Evolutionary Computation and Fuzzy Logic to automatically obtain design elements. Experimental results that demonstrate the potential of the proposed approach are presented in the area of poster design.

scholarly journals The Impact of Corporate Performance on Mental Accounting and Loss Aversion in Financial Decisions

2021 ◽  
Vol 12 (4) ◽  
pp. 259
Author(s):  
Mona Hassabelrasoul Mohammad ◽  
Dalal Mohamed Ebrahim Mohamed ◽  
Elsaid Abd Elazim Tolba Elsharkawi
Keyword(s):  
Graduate Students ◽  
Real Estate ◽  
Loss Aversion ◽  
Corporate Performance ◽  
Mental Accounting ◽  
Organization Performance ◽  
Financial Decisions ◽  
Real Estate Company ◽  
The Impact

This study investigates the effect of the organization performance on two psychological biases, mental accounting and aversion to loss, on financial decisions to both investors and managers. To achieve this, two experiments are conducted. The first experiment consists of 40 graduate students as investors, while the second one consists of 40 accountants in a real estate company as managers. The results of the study indicate that the performance of companies impacts both mental accounting and aversion to loss of investors, whereas the performance of companies affects the mental accounting of managers in making their financial decisions but does not affect the aversion to loss.

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