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The study of variables related to the use of ICT in the classroom is a topic of interest that has been frequently researched. In this paper, after examining the importance of teacher training in explaining the use of ICT in the classroom, we focused on analysing the weight of variables related to teaching practices and the organisational context of schools, which are variables that are less frequently addressed in the literature. To do so, a secondary analysis was carried out using data provided by the Teaching and Learning International Study (TALIS 2018). Specifically, we worked with a sample of 3,918 principals and 64,899 teachers from a total of 3921 schools in 21 countries. A multilevel binary regression model with random intercept, fixed coefficients and a two-level structure with teachers at level 1 and schools at level 2 was used. The results indicate that the presence of ICT in the classroom is associated with self-efficacy in teaching and the cognitive activation of students and with the organisational aspects of the school, which are scarcely addressed by the existing literature on this topic of interest, such as school climate, educational innovation and cooperation among teachers. Based on these results, we reflect on possible ways to promote the use of ICT in the classroom.

The increasing relevance of information and communication technologies (ICT) and society's transition towards an information or knowledge society have led to the emergence of new challenges for schools and school systems. Thus, the need for students to develop new forms of skills like "digital literacy" or "computer and information literacy" (CIL) is constantly gaining in importance. In the IEA's ("International Association for the Evaluation of Educational Achievement") ICILS 2013 ("International Computer and Information Literacy Study"), the aforementioned competencies were investigated--along with CIL learning contexts and outcomes (such as school-level factors in different education systems)--for the first time for secondary schools by applying computer-based student tests. The research presented in this paper focuses on the school-level factors that support or hinder the use of ICT by teaching staff and students' CIL, drawing in the process on information obtained through school and teacher questionnaires. A multilevel approach was chosen for this research, drawing on representative data from four of the countries which participated in ICILS 2013, namely Australia, Germany, Norway and the Czech Republic. The results show that the relevance of school-level determinants for the use of ICT by teaching staff in schools differs between education systems. Only in Germany, for example, does pedagogical IT support seem to be crucial for the use of ICT in teaching. In the Czech Republic, the self-efficacy of teaching staff plays a key role, whereas in Australia, the participation of teaching staff in professional development activities can be identified as relevant for students' acquisition of CIL. The results also show a statistically significant correlation between the teachers' use of ICT in schools and students' CIL for Germany, yet indicate no significant effects for Australia, Norway and the Czech Republic. In addition to these and the more specific findings for the considered countries, the international comparison presented in this paper reveals both strengths and developmental potential for the selected education systems.

Background: Data from the Programme for the International Assessment of Adult Competencies (PIAAC) revealed that countries systematically differ in their respondents' literacy, numeracy, and problem solving in technology-rich environments skills; skill levels also vary by gender, age, level of education or migration background. Similarly, systematic differences have been documented with respect to adults' participation in education, which can be considered as a means to develop and maintain skills. From a psychological perspective, motivation to learn is considered a key factor associated with both skill development and participation in (further) education. In order to account for motivation when analyzing PIAAC data, four items from the PIAAC background questionnaire were recently compiled into a motivation-to-learn scale. This scale has been found to be invariant (i.e., showing full weak and partial strong measurement invariance) across 21 countries. Methods: This paper presents further analyses using multiple-group graded response models to scrutinize the validity of the motivation-to-learn scale for group comparisons. Results: Results indicate at least partial strong measurement invariance across gender, age groups, level of education, and migration background in most countries under study (all CFI > 0.95, all RMSEA < 0.08). Thus, the scale is suitable for comparing both means and associations across these groups. Conclusions:Results are discussed in light of country characteristics, challenges of measurement invariance testing, and potential future research using PIAAC data.

Ample evidence indicates that a person's human capital is important for success on the labor market in terms of both wages and employment prospects. However, unlike the efforts to identify the impact of school attainment on labor-market outcomes, the literature on returns to cognitive skills has not yet provided convincing evidence that the estimated returns can be causally interpreted. Using the PIAAC Survey of Adult Skills, this paper explores several approaches that aim to address potential threats to causal identification of returns to skills, in terms of both higher wages and better employment chances. We address measurement error by exploiting the fact that PIAAC measures skills in several domains. Furthermore, we estimate instrumental-variable models that use skill variation stemming from school attainment and parental education to circumvent reverse causation. Results show a strikingly similar pattern across the diverse set of countries in our sample. In fact, the instrumental-variable estimates are consistently larger than those found in standard least-squares estimations. The same is true in two "natural experiments," one of which exploits variation in skills from changes in compulsory-schooling laws across U.S. states. The other one identifies technologically induced variation in broadband Internet availability that gives rise to variation in ICT skills across German municipalities. Together, the results suggest that least-squares estimates may provide a lower bound of the true returns to skills in the labor market.