This paper is based on a research that explored how Inuit community members in Nunavut Territory, Canada, conceptualized quality education in the socio-cultural context of the territory. Data were collected through telephone interviews of 13 Inuit community members in Nunavut and document reviews both of which were conducted in 2010. The data analysis showed that Inuit community members are r gravely concerned with:(1) the low grade twelve graduation rates and high dropout rates in the territory schools;(2) School improvement planning that engages Inuit communities; (3) Integration of school with the larger community; (4) Communicative engagement with parents and other community stakeholders; (5) Culturally relevant school programming and pedagogy; and (6) Culturally appropriate disciplinary methods. In the conclusion, the paper spells out the policy implications of the findings.

Progress monitoring of academic achievement is an essential element to prevent learning disorders. A prominent approach is curriculum-based measurement (CBM). Various studies have documented positive effects of CBM on students’ achievement. Nevertheless, the use of CBM is associated with additional work for teachers. The use of tablets may be of help here. Yet, although many advantages of computer- or tablet-based assessments are being discussed in the literature (e. g. innovative item formats, adaptive testing, automated scoring and feedback), there are still concerns regarding the comparability of different assessment modes (paper-pencil vs. tablet). In the study presented, we analyze the CBM data of 98 fourth graders. They processed the exact same computation items once with paper and pen and once in a tablet application. The analyses point to comparable results in the test modes, although some significant deviations can be found at item level. In addition, the children report perceived benefits when working with the tablet.

The self-report and think-aloud approaches are the two dominant methodologies to measure metacognition. This is problematic, since they generate respondent and confirmation biases, respectively. The Meta-Performance Test is an innovative battery, which evaluates metacognition based on the respondent's performance, mitigating the aforementioned biases. The Meta-Performance Test consists of two tests, the Meta-text, which evaluates metacognition in the domain of reading comprehension, and Meta-number, in the domain of arithmetic expressions solving. The main focus of this article is to present the development of the battery, in terms of its conceptual basis, development strategies and structure. Evidence of its content validity is also presented, through the evaluation of three experts in metacognition, two experts in Spanish language, two experts in mathematics and five students who represent the target population. The results of the judges' evaluations attested to the Meta-Performance Test content validity, and the target population declared that both the battery understanding and taking are adequate. Contributions and future research perspectives of the Meta-Performance Test in the field of metacognition are discussed.

In some places of the world, disasters occur virtually every day. If disasters are not properly foreseen, they may result in many fatalities. This research aims to examine the growth and pattern of literature on natural disaster education in schools. This analytical strategy combines quantitative and statistical methods to discover trends, assess quality, and track development. A total of 216 documents were chosen from the 403 documents collected. Following 2015, there was a considerable increase in four-year publications. Authors from the United States contributed to 45 papers with 37% citations and ranked first, followed by authors from Japan (31 documents; 15% citations) and Indonesia (31 documents) with rankings citations below the top 10. Most publications were published in the International Journal of Disaster Risk Reduction (12 docs; Q1 Scimago Journal Rank 1.1 (SJR 1.1)). The Journal of Child Psychology and Psychiatry and Allied Disciplines had the most citations (100; Q1 SJR 3.6) and was ranked first in its discipline. The existing core literature on school education on natural disasters demonstrates that this topic is developing rapidly, but with insufficient international research collaboration. Research cooperation in this area must be strengthened to better the global response to natural disaster mitigation, which should begin in schools worldwide. There is a need to widen the scope of study in this field to include natural disaster preparedness education in the school curriculum, assessments, learning media, disaster response education, and instructional designs. Finally, disaster education in schools must be addressed as soon as possible to contribute to disaster preparedness.

Mathematical modeling offers a promising approach to improving mathematics education. This study aims to determine if the concept of metacognitive awareness in the learning process is associated with mathematical modeling. This study also considers the interaction effect of sex and academic year level on both variables. Focusing the study on preservice elementary teachers might address potential issues and targeted intervention in their preparation program concerning their ability to teach and guide young learners in modeling activities. The research sample includes 140 preservice elementary teachers at Central Luzon State University, Philippines. Data collection used an adapted metacognitive awareness inventory and a validated researcher-made mathematical modeling competency test aligned with the K-12 mathematics curriculum in the Philippines. Results revealed that the preservice elementary teachers had a high metacognitive awareness and mathematical modeling competency, ranging from 22 to 31 out of 36 points. Besides, Factorial ANOVA indicates that academic year level positively affects both variables regardless of sex, and stepwise regression analysis unveiled that information management, declarative knowledge, and planning significantly predict 41.4% of the mathematical modeling competency variance. This suggests that developing metacognitive awareness supports preservice elementary teachers in performing modeling tasks that improve their competency level in mathematics.