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Online education comes in various flavors – skills centered short-duration training, massively open online courses (MOOCs), and more recently, the offering of full online degree programs. In the past 4 years at Arizona State University, the faculty created an online software engineering degree program equivalent to an existing on-campus program, and produced its first graduates in Spring 2017. The...
The flourishing of social networking applications (SNA) in recent years has revolutionized the way we live. On the other hand, SNA are also used for malicious activities. Identifying the physical person behind a SNA account is a challenge task in investigations of SNA-involved criminal cases. As one way to address this challenge, automatic user attribute inference, which is also referred to as user...
ConCIENCIA Estadística is a digital educational material proposed as support for the development of the homonymous workshop, organized in the framework of the Project for Improvement of Training in Exact and Natural Sciences in the Secondary School (Facultad de Ciencias Exactas y Naturales, Universidad Nacional de La Pampa). This material is described in this paper, offering technical details of its...
The relevance of the article is determined by a new socio-cultural situation, conditioned by the development of the information society. There are unknown cultural practices, intellectual and emotional needs, value orientations against the background of a significant decrease in the communicative and cognitive abilities of students, necessary for functioning not only in the educational environment...
The paper presents the sentiment analysis based algorithm for evaluation of public's attitude to innovations. Domain-depended corpus for training algorithm was created. More than 200 000 articles from Russian mass media devoted to innovations were analyzed. Results of analysis represented as set of histogram. Conclusions and future work are given.
Social media are increasingly being used as sources in mainstream news coverage. However, since news is so rapidly updating it is very easy to fall into the trap of believing everything as truth. Spam content usually refers to the information that goes viral and skews users' views on subjects. To this end, this paper introduces a new approach for detecting spam tweets using Cost-Sensitive Classifier...
Algorithms and Programming is one of the compulsory subjects of the Degree in Computing in the Faculty of Sciences of the Universidad Central de Venezuela. The contribution of the content learned in the subject and the need for its meaningful learning is fundamental, since it initiates the student in the construction of algorithms and programs, improving their capacity of abstraction, understanding...
With the advancement of educational informationization and growing support for the cultivation of professional master's degree, the cultivation scale of modern educational technology specialty increases rapidly. This paper analyzes the current situation of the cultivation of the degree of modern educational technology in China from the perspective of geographical distribution, school style, category...
Click-baits are headlines that exaggerate the facts or hide the partial facts to attract user clicks. Click-baits deter readers from effectively and efficiently obtaining information in the era of information explosion, and will obviously affect user experience in news aggregator sites like Google News and Yahoo News. Detecting and preventing click-baits become crucial. Previous work achieved remarkable...
Predicting interestingness of media content remains an important, but challenging research subject. The difficulty comes first from the fact that, besides being a high-level semantic concept, interestingness is highly subjective and its global definition has not been agreed yet. This paper presents the use of up-to-date deep learning techniques for solving the task. We perform experiments with both...
The purpose of this study was to determine the effect of brain training for cognitive performance and EEG activity in the digital media officers. Seven participants working as digital media position, were participated in this study. Participants were instructed to practice Sustained Attention to Response Task (SART) which include many skills including speed; memory, attention, flexibility and problem...
This study firstly points out the essence of knowledge acquirement can be accounted for learners' process of decoding and encoding for knowledge from the perspective of knowledge learning. This process includes the encoding and decoding of knowledge transfer process from the perspective of communication, and knowledge information in different storage forms from the perspective of knowledge management...
All along, the Big Four accounting firms are considered to provide a uniform and high standard of audit services, but whether it is as it claims to offer a unified and a high standard audit service, few scholars study this regard. China's capital market is the existence of a dual policy environment, which would provide a special policy context for our research. Based on this, we use the year of 2000–2012...
This study analyzed of using local teaching material and ICT equipment in primary schools of Bangladesh and the Philippines. Local teaching material is such as blackboard, paper and poster and so on, ICT equipment is like PC, projector and smartphone. Bangladesh government set a slogan called "Digital Bangladesh" for the reduction of disparities caused by wealth and distance. On the other...
The University radio, as well as the radio media itself, has suffered many transformations at being adapted to new trends in the digital society. This mean of communication has been conceived as a laboratory for training professionals to express their creativity and to develop innovative content. This study aims to analyze the situation of the webradios of the State Universities of the countries members...
In this paper, we present an application designed to analyze news articles from Romanian mass media and extract opinions about political entities relevant to the major political stage. The application was created with the desire to study media polarization around important political events, such as legislative or presidential elections. The application uses different crawlers to extract the data from...
The Four-Component Instructional Design System is essential in blueprints for complex learning. In this work, the case analysis method was adopted to discuss the instructional design, course content arrangement and examination in American high education with focus on analyzing the methods of investigation teaching. Various methods using in the course exams were also discussed. We think that the exams...
Social media such as tweets are emerging as platforms contributing to situational awareness during disasters. Information shared on Twitter by both affected population (e.g., requesting assistance, warning) and those outside the impact zone (e.g., providing assistance) would help first responders, decision makers, and the public to understand the situation first-hand. Effective use of such information...
The IPTV video evaluation model based on big data is a beneficial basis for IPTV video evaluation. With the new media, social network, Internet of things and cloud computing continuing to evolve, the video-related big data arises at the historic moment. IPTV has also become the choice of more and more users. And IPTV editors are troubled by how to choose the best video for IPTV users. In this paper,...
The growing use of informal social text messages on Twitter is one of the known sources of big data. These type of messages are noisy and frequently rife with acronyms, slangs, grammatical errors and non-standard words causing grief for natural language processing (NLP) techniques. In this study, our contribution is to target non-standard words in the short text and propose a method to which the given...
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