The aim of the study was to analyse learning using Augmented Reality (AR) technology and the motivational and cognitive aspects related to it in an informal learning context. The 146 participants were 11- to 13-year-old Finnish pupils visiting a science centre exhibition. The data, which consisted of both cognitive tasks and self-report questionnaires, were collected using a pre- post-test design and were analysed by SEM path-analysis. The results showed that AR-technology experience was beneficial for all, but especially for the lowest-achieving group and for the girls. In general, pre-knowledge skills predicted post-knowledge test results. As expected, school achievement had an effect on pre-knowledge results. In addition, motivation turned out to be an alternative key route for learning. Being a boy predicted directly or indirectly all other motivational variables, enjoyment and interest, but girls had a higher relative autonomy experience (RAI). Situation motivation and attitude towards learning in the science exhibition were much more strongly inter-connected among boys than girls, and attitude predicted post-knowledge only for boys. AR seems to be a promising method by which to learn abstract phenomena using a concrete manner.

The long-term effects of sleep on adolescent psychosocial well-being are mostly unknown, although insufficient sleep has been associated with emotional and behavioral difficulties in cross-sectional studies. With a five-year follow-up of Finnish adolescents (Time 1: n = 8834; Mean age = 13 years, 51.1% female, Time 2: n = 5315, Mean age = 15 years, 51.6% female, Time 3: n = 3712; Mean age = 17 years; 50.2% female), the purpose of this longitudinal study was to investigate the relations between self-reported sleep duration, sleep problems, and emotional and behavioral difficulties during adolescence. Emotional and behavioral difficulties were assessed using The Strengths and Difficulties Questionnaire (SDQ) measuring emotional symptoms, conduct problems, hyperactivity, peer problems and total difficulties. Sleep duration was calculated by counting the hours between self-reported bedtime and wake-up time. Sleep problems were assessed with a single question about the general sleep problems. According to the cross-lagged models for sleep and emotional and behavioral difficulties, the findings of this study indicate a developmental process during adolescence where, firstly, short sleep duration is a stronger predictor for current and prospective emotional and behavioral difficulties than vice versa. Secondly, increased emotional and behavioral difficulties expose adolescents to current and later sleep problems more strongly than reverse. Thus, the results show that short sleep duration predisposed to emotional and behavioral difficulties across adolescence, which then led to more prospective sleep problems. These findings suggest a developmental process where sleep and emotional and behavioral difficulties are intertwined in shaping adolescents’ health.

Scientists have studied the development of the human mind for decades and have accumulated an impressive number of empirical studies that have provided ample support for the notion that early cognitive performance during infancy and childhood is an important predictor of later cognitive performance during adulthood. As children move from childhood into adolescence, their mental development increasingly involves higher-order cognitive skills that are crucial for successful planning, decision-making, and problem solving. Importantly, few studies have employed higher-order thinking skills such as Complex Problem Solving (CPS) as developmental outcomes in adolescents. To fill this gap, we tested a longitudinal developmental model in a sample of 2,021 Finnish sixth grade students (M = 12.41 years, SD = 0.52; 1,041 female, 978 male, 2 missing sex). We assessed working memory and fluid reasoning at age 12 as predictors of two CPS dimensions: knowledge acquisition and knowledge application. We further assessed students’ CPS performance 3 years later as a developmental outcome (N= 1696; M = 15.22 years, SD = 0.43; 867 female, 829 male). Missing data partly occurred due to dropout and technical problems during the first days of testing and varied across indicators and time with a mean of 27.2%. Results revealed that fluid reasoning was a strong predictor of both CPS dimensions, whereas working memory exhibited only a small influence on one of the two CPS dimensions. These results provide strong support for the view that CPS involves fluid reasoning and, to a lesser extent, working memory in childhood, and from there evolves into an increasingly complex structure of higher-order cognitive skills in adolescence.

Need for Cognition (NFC) signifies “the tendency for an individual to engage in and enjoy thinking” ( Cacioppo & Petty, 1982, p. 116 ). Up to now, no scale of sufficient psychometric quality existed to assess NFC in children. Using data from three independent, diverse cross-sectional samples from Germany, Luxembourg, and Finland, we examined the psychometric properties of a new NFC scale intended to fill in this gap. In all samples, across grade levels ranging from 1 to 9, confirmatory factor analysis confirmed the hypothesized nested factor structure based on Mussel’s (2013) Intellect model, with one general factor Think influencing all items and two specific factors Seek and Conquer each influencing a subset of items. At least partial scalar measurement invariance with regard to grade level and sex could be demonstrated. The scale exhibited good psychometric properties and showed convergent and discriminant validity with an established NFC scale and other noncognitive traits such as academic self-concept and interests. It incrementally predicted mostly statistically significant but relatively small portions of academic achievement variance over and above academic self-concept and interest. Implications for research on the development of NFC and its role as an investment trait in intellectual development are discussed.