This study was aimed at understanding the use of technology in early childhood school and home settings as well as its impact on students' social and language development, specifically with children aged four to seven from two schools (Kindergarten and elementary) in Kuwait. The study followed a qualitative design in which the interpretative approach was applied. Non-participant observations were conducted to gather data concerning the actual use of technology in the classrooms, they were followed by interviews with teachers and a group of parents from each classroom. The study used Vygotsky's social development theory as a framework for the analysis of data. The analysis showed limitations in the use of technology in the classroom; teachers identified a need for training to increase their knowledge about how to integrate technology into instruction. Also, the limited availability of up-to-date technology was viewed as a challenge. Teachers and parents agreed that the use of technology may foster social and language development for most students, on the condition that their use is supervised and guided by an adult. However, they also perceived that technology could have a negative impact on the development of students' social development, an area that requires further investigation.

In Kuwait, an increase in the use of social media by the Kuwait National Assembly (KNA) has allowed it members to reach out to the public and so advance their political agenda. This study examines social media influences on the decision making process; addresses the lack of academic research in relation to KNA members; and seeks to understand the extent to which public political engagement using social media might affect the outcome of their decision making. The proposed social media influence model (SMIM) was used to explore the relationships and relative importance of variables influencing legislator decision making in a social media environment. The second decade of the twenty-first century saw a number of major issues emerging in Kuwait. A core mixed method design known as explanatory sequential was applied to multiple sets of data generated during KNA members' 14th (2013-2016) and 15th (2016-2018) terms. These data included Twitter messages (tweets), the KNA Information Center Parliamentary Information System legislation documents, and the news media articles. The sample was drawn from KNA membership, some of which used Twitter to comment on major events with specific hashtags and the Kuwaiti news media articles related to the same. Study results confirm and support …