Child maltreatment is a serious problem, worldwide. Children and young people who have experienced maltreatment face multiple physical and mental health challenges which hinder their success at school and these adverse experiences makes them more challenging to teach than their non-maltreated peers. Increasingly, teachers are considered as an important part of the wider the child protection workforce as they are well-placed to intervene and prevent further harm. To fulfil this role effectively, teachers require requisite training beginning in initial teacher education programs. This paper is a protocol for a systematic scoping review that asks: “What is known about preservice/initial teacher education for child protection?”  Systematic scoping reviews are worthwhile and necessary in fields where research is diverse and needing of synthesis to identify strengths in the body of evidence and identify gaps to set new research directions. We will draw on Askey and O’Malley’s six-stage scoping review methodology to assess the scope, range, and nature of research activity on this topic. We will add an innovative seventh stage involving a commitment to disseminating and applying knowledge generated from the review. The research question has been established, and key terms defined (Stage 1). The search strategy has been devised, and searches have been run (Stage 2). Round 1 screening of titles and abstracts is completed and full text screening is currently in progress (Stage 3). To our knowledge this is the first attempt to systematically map the empirical literature on child protection in pre-service teacher education. When completed, this systematic scoping review will offer a comprehensive, transparent, and replicable way to assess the full scope of empirical research on this important topic of utmost educational relevance.

The current study investigated the opinions of secondary school students taking the science course from different science teachers about the science course and science teachers. The current study was conducted with the participation of 32 students instructed by different science teachers and attending different secondary schools in the fall term of 2018-2019 academic year. The data of the current study were collected by means of semi-structured interviews. In the analysis of the data, the descriptive analysis technique was used. The findings of the current study have revealed that high majority of the students love their science classes and science teachers, that in science classes, lecturing, question-answer and note-taking are methods widely employed, that if there is a smart board in the class, then Okulistik or EBA computer program is on, that the assignments given are from the textbook, that the most frequently adopted behavior by the teachers in the face of any discipline problem is warning and that informal learning environments are not used much. Moreover, it was found that projects are rarely assigned to students and the projects assigned are given as homework. A great majority of the students expect their teachers to be entertaining, they want their lessons to be instructed through games and experiments, and they do not want to write a lot in their classes.

The study's goal was to examine the correlation between the computer programming self-efficacy and computational thinking skills of gifted and talented students. The capacity of the computer programming self-efficacy of gifted and talented students to predict their computational thinking skills were also examined. The relational screening model has been implemented in the research. The participants of the study were composed of 106 secondary school gifted and talented students studying the Individual Ability Recognition Program (IAR) at the Science and Art Center in the city center. Typical case sampling was applied for the student identification of the participants, 46 are female and 60 are male. Gifted and talented students' computational thinking skills were assessed using the "Computational Thinking Skills Scale” and the computer programming self-efficacy was measured by using the "Computer Programming Self-Efficacy Scale". Data were analysed by Pearson correlation analysis and simple linear regression analysis in statistical software SPSS 22. Research results found that there was a positive and high correlation between the computer programming self-efficacy and computational thinking skills. The gifted and talented students' computer programming self-efficacy demonstrated 31.5% of the total variance in computational thinking skills. This finding supports the claim which is present in the literature that self-efficacy in computer programming is the affective aspect of computational thinking skills. To predict computational thinking skills, it may be recommended to build multiple models for cognitive and affective skills of gifted and talented students.

A new index of item discrimination power (IDP), dimension-corrected Somers’ D (D2) is proposed. Somers’ D is one of the superior alternatives for item–total- (Rit) and item–rest correlation (Rir) in reflecting the real IDP with items with scales 0/1 and 0/1/2, that is, up to three categories. D also reaches the extreme value +1 and ‒1 correctly while Rit and Rir cannot reach the ultimate values in the real-life testing settings. However, when the item has four categories or more, Somers’ D underestimates IDP more than Pearson correlation. A simple correction to Somers’ D in the polytomous case seems to lead to be effective in item analysis settings.  In the simulation with real-life items, D2 showed very few cases of obvious underestimation and practically no cases of obvious overestimation. With certain restrictions discussed in the article, D2 seems to be a good alternative for these classic estimators not only with dichotomous items but also with the polytomous ones. In general, the magnitudes of the estimates by D2 are higher than those by Rit, Rir, and polychoric correlation and they seem to be close of those of bi- and polyserial correlation coefficients without out-of-range values.

Although Goodman–Kruskal gamma (G) is used relatively rarely it has promising potential as a coefficient of association in educational settings.  Characteristics of G are studied in three sub-studies related to educational measurement settings. G appears to be unexpectedly appealing as an estimator of association between an item and a score because it strictly indicates the probability to get a correct answer in the test item given the score, and it accurately produces perfect latent association irrespective of distributions, degrees of freedom, number of tied pairs and tied values in the variables, or the difficulty levels in the items. However, it underestimates the association in an obvious manner when the number of categories in the item is more than four. Towards this, a dimension-corrected G (G2) is proposed and its characteristics are studied. Both G and G2 appear to be promising alternatives in measurement modelling settings, G with binary items and G2 with binary, polytomous and mixed datasets.

The purpose of the study was to identify and categorise the criteria-specified instructional approaches to fostering undergraduates’ cross-cultural skills involving training them in foreign languages and to evaluate their effectiveness and feasibility. It was a systemic review of the effectiveness type. The descriptive content analysis was used as a methodology within the study to analyse the relevant short-listed sources. The triangular assessment method (TAM) was applied by instructors from Ukraine to rate each approach’s/programme/course’s potential effectiveness and/or feasibility for the context of higher education in Ukraine. This review identified potentially effective and feasible approaches/programmes/courses that can be converged to produce more efficient instructional models for fostering undergraduates’ cross-cultural skills. The selected approaches or courses or programmes could be categorised as technology-driven approaches, approaches based on classroom activities or using specific instruction models, psychological effect-driven approaches, and combined or converged approaches. The use of technology-driven approaches seems to be the emerging instructional trend specifically in training students’ cross-cultural skills.