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Learning is not limited to a certain age group or a formal study environment. However, the first eight years, and particularly the first three years, are the most important because the effects of the care and attention provided to the child during this period will continue throughout his/her life. A child's early learning processes develop his/her educational abilities and skills and fosters his/her academic achievements. Preschool can be very beneficial to the development of and learning for children, but there are differences between countries in this area. Preschool programmes of high quality can reduce repetition in the classroom and raise achievement scores for students (Jacobson and Linda 2008). There are many applications in the Middle East that teach children but none link the vowels of the Arabic alphabet characters and sound for each character and the training to select the correct format of the Arabic alphabet (e.g. "fatha," "dama" and "kasra"). This study aims to develop an educational application for children aged 3-5 to help improve their skills and abilities. The application will prepare them for school by teaching them the Arabic letters, pronunciation and the short vowels ("fatha," "dama" and "kasra"). The application also aims to help children communicate and interact more effectively with their external environment by employing several theories about learning skills, such as Piaget's "Theory of Cognitive Development", Dale's "Cone of Learning" and Bloom's "Taxonomy of Cognitive Goals". The application will focus on the first three levels of Bloom's "Taxonomy Pyramid", which are "Remember", "Understand" and "Apply". The application will be designed to aid children with their Arabic pronunciation, aural and oral skills, as well as to train and educate them in preparation for attending school. The expected result is that it will be considerably better than educational books for children's education. Combining education and play in e-learning applications is an important way to attract children.

People's styles of thinking vary; we seek to understand these differences, to refine our abilities and skills, and find new and useful ways of thinking. To develop this concept, we implement the Sternberg (1997) thinking style inventory (TSI) as part of the learning process. The main idea behind the implementation of this style of thinking is to help people understand themselves, and identify the correct completion of tasks. In this study, we investigate different ways of thinking in various academic disciplines, which may help students find the best potential use of teaching and learning, and realize the best way to develop their true abilities. This paper investigates the thinking styles of 120 female and male students from different educational backgrounds across Saudi Arabia by using an Arabic version of Robert Sternberg's questionnaire to examine their learning performance. In addition, we compare the thinking styles of Saudi Arabian males and females, demonstrating significant differences between the sexes of participants.

Dyslexic individuals have serious difficulties in learning to read, and several software programs have been developed to overcome them. Previous research studies found that in most cases, providing correct spelling and word recognition with greater accuracy constitutes the key function. However, more research has to be conducted on the software programs for dyslexia. Another issue is visual-spatial attention; the aspect of directing attention to a location of what should be learnt while reading has been ignored in most studies. This research analysis of the previous studies outlines some research gaps as follows: recording children's eye movements during reading were uncertain. Another research gap is understanding the frequencies of Arabic word recognition for dyslexic children the meaning of the Arabic word during reading for dyslexic were not adequately presented in the previous research. Therefore, this paper presents an experimental study on identifying Arabic words and their meaning by dyslexic individuals focusing on the sequence of interactions. A decision-making analysis of the key interactive components of the Arabic alphabet puzzle app for dyslexics is performed, and the finding of the study reveals that the speed and accuracy of visual word recognition and meaning description increases and significantly influences visual short-term memory. The analysis of the most important factors that influence all the other factors of the user experience of the Arabic alphabet puzzle app for dyslexics shows that 'desirability' constitutes the key attribute in enhancing visual-spatial attention and accelerating word recognition and meaning description for Arabic-speaking dyslexics.

For investors and financial analysts to make informed decisions, having precise forecasts of gold prices is crucial. This study examined the effectiveness of various time series models in predicting gold prices in Indian Rupeea variety of models, ranging from linear models like Auto Regressive Integrated Moving Average (ARIMA) and Simple Linear Regression, to more complex nonlinear models such as Long Short-Term Memory (LSTM) and Gated Recurrent Units (GRU) were utilised. In the study, a statistical technique was used to analyse the data collected over a twenty-year period, from January 2001 to December 2019. RMSE and MAPE were used to evaluate the models' performance. The Simple Linear Regression model achieved an RMSE value of 834.67 and a MAPE value of 2.22%, demonstrating its superior performance compared to the other models. The LSTM and GRU models achieved RMSE values of 1160.5 and 1214.8, respectively, suggesting comparable levels of performance. The MAPE values of the LSTM model and the GRU model differed by 2.96%, with the latter being 2.83%. On the other hand, the ARIMA model had a MAPE value of 22.9% and an RMSE value of 7121.1, which was noticeably lower than the previous model. Moreover, the results showed that both LSTM and GRU have the ability to capture nonlinear correlations in the fluctuations of gold prices. [ABSTRACT FROM AUTHOR]

The success of deep learning over the traditional machine learning techniques in handling artificial intelligence application tasks such as image processing, computer vision, object detection, speech recognition, medical imaging and so on, has made deep learning the buzz word that dominates Artificial Intelligence applications. From the last decade, the applications of deep learning in physiological signals such as electrocardiogram (ECG) have attracted a good number of research. However, previous surveys have not been able to provide a systematic comprehensive review including biometric ECG based systems of the applications of deep learning in ECG with respect to domain of applications. To address this gap, we conducted a systematic literature review on the applications of deep learning in ECG including biometric ECG based systems. The study analyzed systematically, 150 primary studies with evidence of the application of deep learning in ECG. The study shows that the applications of deep learning in ECG have been applied in different domains. We presented a new taxonomy of the domains of application of the deep learning in ECG. The paper also presented discussions on biometric ECG based systems and meta-data analysis of the studies based on the domain, area, task, deep learning models, dataset sources and preprocessing methods. Challenges and potential research opportunities were highlighted to enable novel research. We believe that this study will be useful to both new researchers and expert researchers who are seeking to add knowledge to the already existing body of knowledge in ECG signal processing using deep learning algorithm. [ABSTRACT FROM AUTHOR]

There is of course, a question about the use of any software, and that is whether or not people ever read the "terms and conditions". In the last few years, Saudi Arabia has become very eager to expand and modernize all of its technical and knowledge fields to achieve a high quality of life by motivating students to participate in problem solving and disseminating their ideas by using applications and sites that help the general public achieve their goals in the field of Artificial Intelligence, Security, and user experience. The goals of this study are to develop an application that simplifies reading the terms and conditions by highlighting the important terms and conditions that may cause problems and to help users to be aware of any potential problems that could occur in the system. The app's final design and look should also enhance the appeal to the user. The results of this study will further online resource use by providing more justification for subscription and usage of online resources, as many online subscriptions and usages are based on agreeing to terms and conditions, and in the current Internet era, people must have agreed to these terms and conditions at least once in their lifetime. [ABSTRACT FROM AUTHOR]