Abstract-In recent years, Social Networking Sites (SNSs) have become a major communication vehicle in all societies. Facebook has become the most popular social networking site with more than 2.2 billion users. The pleasure that Facebook has brought has led to some addictive behavior among its users. This study employed the Bergen Facebook Addiction Scale to investigate Facebook addiction among students. In this study, we selected a sample of 441 students in Universiti Teknologi Malaysia as respondents. Results show that 47% of the participants were addicted to Facebook. This ratio is almost the same among postgraduate and undergraduate students, and interestingly, among Malaysian and non-Malaysian. Much speculated factors such as religion, level of income, ego strength and locus of control do not show significant influence on the risk of Facebook addiction. Lastly, the results suggest that as people spend more time on Facebook, there is a greater chance of addiction.Index Terms-Facebook addiction, social networking sites, students. I. INTRODUCTIONInternet-mediated interaction showed negative effects on wellbeing. Different researches have shown negative effect of heavy SNS use and depression [1], anxiety [2], histrionic personality, [3] and addiction and dependency [4]. Having this in mind, the widespread use of SNSs and particularly Facebook [4] among youths should raise some crucial attention. Even though it is still too early to see the whole negative impact of Facebook addiction in our societies and there is still more to come.In recent years, it has been recognized that the impact of Information Technology (IT) addiction has become considerably more important. Many researches have been conducted on this topic (e.g. [5]-[7]). It became a global concern and considered as a health issue [8]. Information Technology addiction took different forms including mobile phone addiction [9], online sex addiction [10], [11], computer games addiction [12], online shopping and gambling addiction [13] Malaysia is Facebook with more than 13 million Malaysian users [16]. This research aims to investigate the trend of Facebook addiction among students using Bergen Facebook Addiction Scale (BFAS) [17] tool. II. BACKGROUND OF STUDYAddiction in general is defined as "the condition of being unable to stop taking or doing something harmful [18]. Different ethics" schools of thought believe that individuals are rational beings who have the ability to use their critical judgment to manage their lives [19]. Kant believed that whatever controlled an individual"s mind and stopped him or her from using judgment is a vice [20]. Hence, addiction which is a desire that control your mind can be considered as a vice and is unethical.In 1970, two individuals predicted that the joy which will be brought by computers will be extremely captivating and the attraction of computers will be far greater than any other hobby [21]. In 1976, Joseph Weizenbaum [22] claimed that feelings of power and freedom attract computer programmers to their machin...

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Massive Open Online Courses (MOOCs) have gained significance as a new paradigm in education. MOOCs are open to any interested person and provide education products for a scalable number of learners who have access to the Internet. In recent years, there has been an increasing interest in MOOCs including their types, theories and challenges. Although this is an important and challenging field for Information Systems researchers, a rich and structural literature review has not yet been conducted in this area. The purpose of this article is to present a short review of recent research into MOOCs. Thirty-two papers were selected for review through four search engines with a search of key terms related to MOOCs. On the basis of this review, a holistic definition on MOOCs is presented and an overview of the relevant theories and issues is provided.

In this study, 441 Universiti Teknologi Malaysia students participated as respondents. Through a questionnaire respondents were asked how frequently they engage in specific behaviors, including hacking, using pirated software, music and movies in addition to use of gambling and pornography sites. The aim was to investigate which individual characteristics including age, gender, religion, citizenship, level of education, ego strength and locus of control are among determinants of these behaviors. The results of these questions were used to report the ratio of frequent users of these materials based on different categories. Logistic regression was used to see what the influential factors in the investigated behaviors are. The results suggest that males are more engaged with almost all of the investigated behaviors. In addition, citizenship, ego strength, age and religion reflected a statistically significant difference among people in certain activities. Level of education and locus of control did not reflect any significance in engaging in aforementioned behaviors.