Advances of Scientific Research on Technology Enhanced Learning in Social Networks and Mobile Contexts: Towards High Effective Educational Platforms for Next Generation Education

This editorial presents the latest advances of scientific Research on Technology enhanced learning in social networks and mobile contexts. It summarizes the key finding and promotes three main pillars for future scientific contribution to the domain namely: Enabling Technologies, Educational Strategies, and Next Generation Social Networks for Educational Purposes. It can serve as a position document for scientific debate fostering international collaboration and empirical research in the various aspects of the well-defined agenda. It can also serve as a reference edition for researchers interested in the adoption of Social Networks, in the Education Sector

Factors for Measurement of ITES Quality for Higher Education Institutions in Saudi Arabia

Information technology has blessed the current scientific era with the promising initiatives that are un-match able with the past. The range of impact is diversified in nature and massive in scale. Information Technology Enabled Services (ITES) have emerged over time in many disciplines. ITES are becoming increasingly prevalent in the global economy. Due to the growing importance of ITES Service Science has emerged as a fundamental area in Information Systems (IS) research and it combines technical and managerial knowledge under the umbrella of the more popular interdisciplinary approach of Service Science Management and Engineering (SSME). Along with the emergence of the ITES the question to measure the quality has also arisen. The measurement of ITES quality in different areas requires different factors to be considered. This paper addresses the identification of the factors for measuring the quality of ITES in higher education institutes in Saudi Arabia. The paper unleashes number of factors that can be used to measure the quality of ITES in higher education institutions

When are Tweets Better Valued? An Empirical Study

The increase in Twitter's popularity has been phenomenal over time. Tweets are now not only a means of status update and one-on-one communication, but they are also widely used for trend setting and marketing. The probability that the user will see a Tweet when he was offline at the time it was tweeted is very low. In order to increase the Tweet impact, it is important to determine the number of individuals online so that maximum number of users see the Tweets. This research focuses on identifying the individual users from Saudi Arabia based on the parameters already set for the conduct of this study. The time-stamped data for 1000 selected individuals is retrieved from Twitter and is analyzed accordingly. The number of online users is observed by recording the "last seen" status. The retrieval of data is based on a number of experiments that was run at same time on all days of the week to reduce the inconsistent patterns. The data is then analyzed to see the time slots where the online user percentage is higher as compared to other time slots. The results of the study are focused to identify and recommend the timings when the Tweets are better valued and the impact is considerable