Abstract-In recent years, the use of social networks has been growing at an unprecedented speed. Changing the way people communicate, interact and learn. Instead of passively consuming information, users are actively participating in the creation of knowledge, as a part of the social connection and interaction Social Networking Sites (SNSs) are built upon. And since learning, at abstract, is a social activity, educators around the world have been embracing the notion of incorporating social networks technology into the educational environment to support and enhance the teaching-learning experience. This work investigates the usage of social networks in higher education to support collaborative learning, improve the learning process and enhance students' engagement and academic achievements. A comprehensive review of the current literature is conducted to thoroughly analyze the use and impact of social networks on higher education students. In order to propose a framework for educational social networks that will support collaborative learning and enhance learning outcomes for higher education students.
CAPTCHA (Completely Automated Public Turing Test to tell Computers and Humans Apart) is a kind of test which is commonly used by different websites on the Internet to differentiate between humans and automated bots. Most websites require the user to pass the CAPTCHA before signing up or filling out most forms. CAPTCHA today is even used on some mobile applications to provide a higher security level that can protect websites and mobile applications against malicious attacks by automated bots and spammers. In this paper, we present an advanced CAPTCHA technique; our technique essentially relies on employing the human recognition ability, which is not available in automated bots or machines, through leveraging the handwriting characteristics in designing CAPTCHA. Moreover, the proposed CAPTCHA technique adopts handwritten characters of four different languages (English, Arabic, Spanish, and French) to generate handwritten multilingual CAPTCHA text using characters from the four adopted languages. Furthermore, the initial experiments' results have shown a promising security level that the proposed CAPTCHA technique can provide.
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