Pub Date : 2021-06-01DOI: 10.1109/ICDATA52997.2021.00029
Anoual El kah, Imad Zeroual, A. Lakhouaja
Today's technology provides excellent opportunities for students, primarily those with learning disabilities, to be engaged in digital learning environments. Learning disabilities are neurologically-based processing deficits in acquiring and learning essential reading, spelling, and writing skills. Besides, few studies were conducted about assistive technology's effectiveness for handwriting and spelling for Arabic children with specific learning disabilities (i.e., Dyslexia and Dysgraphia). This study investigates the impact of using computers and tablets on the performance of text copying and dictation. The study was conducted in a Moroccan public primary school with two experimental groups. From 60 students, 12 students from third grade and 12 others from the second grade identified as students with specific learning disabilities, primarily dyslexics and dysgraphics. The results affirmed that fewer spelling errors are scored in both copying and dictation tests when using computers and tablets. Therefore, the authors recommend that primary schools allow learning disabled students to overcome their difficulties by assisting handwriting tasks with keyboards-based ones, especially in final examinations.
{"title":"An experimental study on the benefit of assistive technology for students with learning disabilities","authors":"Anoual El kah, Imad Zeroual, A. Lakhouaja","doi":"10.1109/ICDATA52997.2021.00029","DOIUrl":"https://doi.org/10.1109/ICDATA52997.2021.00029","url":null,"abstract":"Today's technology provides excellent opportunities for students, primarily those with learning disabilities, to be engaged in digital learning environments. Learning disabilities are neurologically-based processing deficits in acquiring and learning essential reading, spelling, and writing skills. Besides, few studies were conducted about assistive technology's effectiveness for handwriting and spelling for Arabic children with specific learning disabilities (i.e., Dyslexia and Dysgraphia). This study investigates the impact of using computers and tablets on the performance of text copying and dictation. The study was conducted in a Moroccan public primary school with two experimental groups. From 60 students, 12 students from third grade and 12 others from the second grade identified as students with specific learning disabilities, primarily dyslexics and dysgraphics. The results affirmed that fewer spelling errors are scored in both copying and dictation tests when using computers and tablets. Therefore, the authors recommend that primary schools allow learning disabled students to overcome their difficulties by assisting handwriting tasks with keyboards-based ones, especially in final examinations.","PeriodicalId":231714,"journal":{"name":"2021 International Conference on Digital Age & Technological Advances for Sustainable Development (ICDATA)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130547692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-01DOI: 10.1109/ICDATA52997.2021.00044
Yahya Mardoude, Abdelilah Hilali, A. Rahali
This article presents a method for estimating the Aerodynamic coefficient power by an artificial neural network. This network plays the role of a virtual system which principle is simple; it makes it possible to estimate the coefficient power from the wind speed and of the blade pitch angle in order to facilitate the integration of control algorithms in practical phase for numerical control systems such as FPGAs. Firstly, the modeling of a wind turbine at variable speed with the application of the flux orientation control will be addressed. Subsequently, the structure of a multilayer neural network for estimation of the Aerodynamic coefficient power will be presented. Finally, the results of wind power system simulation using a 3.3 kW doubly fed induction machine will be produced in the Matlab/Simulink environment.
{"title":"Modeling And Control Of A Wind Power System Based On Doubly Fed Induction Machine by Aerodynamic Power Coefficient Neural Network Approximation","authors":"Yahya Mardoude, Abdelilah Hilali, A. Rahali","doi":"10.1109/ICDATA52997.2021.00044","DOIUrl":"https://doi.org/10.1109/ICDATA52997.2021.00044","url":null,"abstract":"This article presents a method for estimating the Aerodynamic coefficient power by an artificial neural network. This network plays the role of a virtual system which principle is simple; it makes it possible to estimate the coefficient power from the wind speed and of the blade pitch angle in order to facilitate the integration of control algorithms in practical phase for numerical control systems such as FPGAs. Firstly, the modeling of a wind turbine at variable speed with the application of the flux orientation control will be addressed. Subsequently, the structure of a multilayer neural network for estimation of the Aerodynamic coefficient power will be presented. Finally, the results of wind power system simulation using a 3.3 kW doubly fed induction machine will be produced in the Matlab/Simulink environment.","PeriodicalId":231714,"journal":{"name":"2021 International Conference on Digital Age & Technological Advances for Sustainable Development (ICDATA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129715648","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-01DOI: 10.1109/ICDATA52997.2021.00035
Mohamed Amine Marhraoui, M. Idrissi, Abdellah El manouar
Companies are facing important challenges related to markets' internationalization, regulatory restrictions and fierce competition especially during the COVID19 crisis. They should embrace change and be agile in order to prevent risks and seize opportunities quickly and efficiently. In this article, we examine how artificial intelligence (AI) can help companies to enhance their organizational agility. Based on two systematic literature reviews on the subject, we identified the weaknesses on relying only on a digital enabler or human resource (HR) practices. Thus, we propose a Framework integrating artificial intelligence and human practices in order to help companies in their efforts towards agility. This latter allows companies to adapt to new regulations in the society, to customers' expectations and to environmental changes. Ultimately, agile companies can ensure a sustainable performance.
{"title":"An integrated human-AI Framework towards organizational agility and sustainable performance","authors":"Mohamed Amine Marhraoui, M. Idrissi, Abdellah El manouar","doi":"10.1109/ICDATA52997.2021.00035","DOIUrl":"https://doi.org/10.1109/ICDATA52997.2021.00035","url":null,"abstract":"Companies are facing important challenges related to markets' internationalization, regulatory restrictions and fierce competition especially during the COVID19 crisis. They should embrace change and be agile in order to prevent risks and seize opportunities quickly and efficiently. In this article, we examine how artificial intelligence (AI) can help companies to enhance their organizational agility. Based on two systematic literature reviews on the subject, we identified the weaknesses on relying only on a digital enabler or human resource (HR) practices. Thus, we propose a Framework integrating artificial intelligence and human practices in order to help companies in their efforts towards agility. This latter allows companies to adapt to new regulations in the society, to customers' expectations and to environmental changes. Ultimately, agile companies can ensure a sustainable performance.","PeriodicalId":231714,"journal":{"name":"2021 International Conference on Digital Age & Technological Advances for Sustainable Development (ICDATA)","volume":"40 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126176601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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