In recent years, research has been conducted focused on the use of technologies in the classroom, but one of the main problems is to demonstrate that the use of this technology favors learning compared to traditional methods. One of these technologies is augmented reality that allows seeing virtual objects superimposed in the real world, but…

Currently, there is a growing interest for applying gamification in e-learning due to innovations in technologies and pedagogies. However, motivation and engagement related problems can arise when the gamification elements are not personalized to match the individual’s needs. Therefore, this research proposes a Hybrid Learning Model that combines both Gamification and Personality Traits to increase…

Breast cancer has an important incidence in women mortality worldwide. Currently, mam- mography is considered the gold standard for breast abnormalities screening examinations, since it aids in the early detection and diagnosis of the illness. However, both identification of mass lesions and its malignancy classification is a challenging problem for artificial intelligence. In this work,…

This paper focuses on the issue of distributed reinforcement learning (RL) for decision-making in cooperative multi-agent systems. Although this problem has been a topic of interest to many researchers, results obtained from these works aren’t sufficient and several difficulties have not yet been resolved, such as, the curse of dimensionality and the multi-agent coordination problem.…

The increase in employment and productivity is crucial for the economic growth of the European Union. Specifically, the employment of young people needs to be increased. The excessively theoretical approach to education is identified as one of the most significant problems in the educational system. Acquirement of practical experience while study, presents for the students…

E-mail is one of the media services used at the contact center. The challenge faced by e-mail services is how to handle e-mails that enter large quantities every day efficiently to provide fast and appropriate service to customers. The purpose of this study is to find which method has the best accuracy in classifying emails…

Recitation and listening of the Holy Quran with Tajweed is an essential activity as a Muslim and is a part of the faith. In this article, we use a machine learning approach for the Quran Reciter recognition. We use the database of Twelve Qari who recites the last Ten Surah of Quran. The twelve Qari…

This paper addresses the generation of stylized texts in a multilingual setup. A long short-term memory (LSTM) language model with extended phonetic and semantic embeddings is shown to capture poetic style when trained end-to-end without any expert knowledge. Phonetics seems to have a comparable contribution to the overall model performance as the information on the…

Predicting trainees’ final academic results in the early stage of programming class is a significant mission in the field of learning analytics. Performing exercises in programming class is hard and it takes a lot of time for trainees. For this reason, careful support with trainees are offered in many classes through classroom assistants (CAs). Even…

Convolutional LSTMs are widely used for spatiotemporal prediction. We study the effect of using different activation functions for two types of units within convolutional LSTM modules, namely gate units and non-gate units. The research provides guidance for choosing the best activation function to use in convolutional LSTMs for video prediction. Moreover, this paper studies the…

Chronic diseases such as heart disease, cancer, diabetes, and asthma continue to increase in the general public within the modern era. With careful observation of the symptoms potential diseases may be detected early and managed properly. For that to happen, the awareness of the symptoms and proper knowledge about the diseases may be needed for…

In this paper, we propose a procedure of interactive multi-objective reinforcement learning for multi-step decision problems based on the preference of a decision maker. The proposed method is constructed based on the multi-objective reinforcement learning which is applied to multi-step multi-objective optimization problems. The existing literature related to the multi-objective reinforcement learning indicate that the…

Voice problems are routinely assessed in hospital voice clinics by speech and language therapists (SLTs) who are highly skilled in making audio-perceptual evaluations of voice quality. The evaluations are often presented numerically in the form of five-dimensional ‘GRBAS’ scores. Computerised voice quality assessment may be carried out using digital signal processing (DSP) techniques which process…

This paper showed visualization of technics about cardiopulmonary resuscitation contributed to acquiring the skills and understanding them. Especially, this system is focused on the individuality in each object (men, women, and babies) There are problems of a general cardiopulmonary resuscitation (CPR) training because learners are generally taught by instruction based on a subjective judgment. Because…

Predicting the impact of suicide on incidental witnesses at an early stage helps to avert the possible side effect. When suicide is committed in public, incidental observers are left to grapple with it. In many cases, these incidental witnesses tend to experience the emotional side effect with time. In this study, we employed a Machine…

Intelligent Transportation Systems (ITS) applications can take big advantage of Context Awareness approaches. Parameters such as user mobility, passengers comfort reaction and pollution emission levels (CO2) can enrich such applications during the decision making phase. Moreover, the expanding in ITS services offers great opportunities for travelers to find the best route to reach their destinations…

The proposed solution is intended for virtual universities wishing to improve their distance learning platforms. These enhancements include the instructional content model, how to deliver courses to students, and how to evaluate students’ knowledge. With this solution that improves the functionality of Moodle, virtual classes now include new features such as the transfer of heavy…

This paper is an extension of work originally presented in the 19th International Conference on Computer Supported Education and Information Technology. This paper identifies motivational factors that ensure the initiation and effective implementation of mathematical activity. These factors are in subordination to each other, forming a hierarchical dependence. At the heart of this hierarchy is…

There are more than 7billion people in the world where there are around 500 million people in the world who are denied from normal lifestyle due to physical and mental issue. It is completely fair to say that every person deserves to enjoy a normal lifestyle. While physically and mentally challenged people find suitable way…

A lot of research reported that the active learning, especially the flipped classroom learning has higher performance than the lecture-based learning called the traditional learning. Therefore, this research is experimented on the object-oriented analysis and design course. The objectives are to try the flipped classroom learning with the workshop activity in order to analyze learners’…

Automatic speech emotion recognition (SER) techniques based on acoustic analysis show high confusion between certain emotional categories. This study used an indirect approach to provide insights into the amplitude-frequency characteristics of different emotions in order to support the development of future, more efficiently differentiating SER methods. The analysis was carried out by transforming short 1-second…

Game-based learning has been introduced as an interactive tool to facilitate learning and training processes in various fields, including supply chain management (SCM). Most of these games are specifically designed to focus on certain scenarios and concepts. For example, the original beer distribution game focuses on a single product supply chain without considering capacity and…

Adaptive education systems (AES) are considered one of the most interesting research topics in technology-based learning strategies. Since students have different abilities, needs and learning styles, we should fit the curriculum and teaching activities to these different learning styles. This study investigates the impact of using LAES (Libyan Adaptive Education System) on the performance of…

The rapid evolution of Collaborative e-Learning Systems migrates to the use of new technologies such the artificial intelligence (AI). In this context, the role of AI in increasing the quality of learning and making it more productive, persistent and efficient. In addition, it can accomplish repetitive and complex tasks in record time and unmatched accuracy.…

Smoking has been proven to negatively affect health in a multitude of ways. As of 2009, smoking has been considered the leading cause of preventable morbidity and mortality in the United States, continuing to plague the country’s overall health. This study aims to investigate the viability and effectiveness of some machine learning algorithms for predicting…