Digital Skills and Motivation in Young People in Transition

Part 2: Key Competencies, Learning and Life TransitionsInternational audienceThis paper explores the underlying assumptions that are often made concerning the beneficial impact of the use of Digital Technologies in relation to the motivation for academic work, and related forms of engagement. In particular, these claims are assessed in the context of an overarching concern with the motivational characteristics that are most likely to abet the effective transition of young people from one context to another. In this light, relevant theories of motivation are explored together with an assessment of how they might, together, provide a more productive basis for the development of the role of Digital Technology in assisting the making of effective transitions

Investigation of nomophobia and smartphone addiction predictors among adolescents in Turkey: Demographic variables and academic performance

Most individuals spend a great amount of time on their smartphones. The intense usage of smartphones leads to some physical symptoms, good and bad feelings, pathological addiction, depression, symptoms such as fear-anxiety, productivity and low academic achievement. For this reason, prevention activities must be prioritized when dealing with the intense and uncontrolled usage of smartphones. The aim of this study is to determine nomophobia levels and smartphone addiction among 12-18 age group secondary and high school students and to investigate the demographic and academic variables predicting these levels. Designed with a relational model, the population of this research consists of 612 students studying at all levels of secondary school and high school. Personal information form and two different scales were used in the research. Descriptive analyses and hierarchical linear multiple regression analysis were used in the analysis of the data obtained by means of data collection in the research. As a result of the research, there is a significant relationship between smartphone addiction and nomophobia. In this study, Model 4 has been identified to be the most important predictor of smartphone addiction and nomophobia. In Model 4, variables related to smartphone usage are included in the analysis. Recommendations have been made according to the results of the study. (C) 2018 Western Social Science Association. Published by Elsevier Inc. All rights reserved