Spiritual growth and development is frequently cited as an outcome of participation in service-learning projects.  However, little research has focused on measuring the students' ability to understand the connection between the service-learning experience and their personal faith and the ability to live out their Christian values in the field.  Notably missing from this particularly limited area of study is the Christian values convergence of being able to understand the worth of all people and a desire to be engaged in serving the community. Encompassing both quantitative and qualitative research methods, this study investigates undergraduate business students’ perceptions of the impact of a semester-long urban service-learning project on their spiritual lives and faith formation.  Specific attention is given to exploring the students' perception of faith as demarcated by the Christian praxis of the students' relationship with God and with others.

This research aims to explore the effectiveness of interdisciplinary education program based on multicultural education on the tolerance value, attitude and critical thinking skills of the fourth grade primary school students. Single group pre-posttest design has been used in the study. The research has been carried out with 30 fourth-grade students, at a primary school located within the district of Karakocan in Elazig during the 2015-2016 academic year. Among the participants, 15 are females and 15 are males. The research has employed Tolerance Attitude Scale developed by Kaptan-Yarar, tolerance value and critical thinking story tests and scoring rubrics. Descriptive statistics and dependent samples t-test have been used during data analysis. Research results have revealed a statistically significant difference between critical thinking scoring rubric, tolerance value scoring rubric and tolerance attitude scale pretest-posttest scores in favor of posttest. Based on these results, it can be said that the interdisciplinary curriculum developed based on multicultural education improves students' critical thinking skills, tolerance value and attitudes.

Kelley’s Discrimination Index (DI) is a simple and robust, classical non-parametric short-cut to estimate the item discrimination power (IDP) in the practical educational settings. Unlike item–total correlation, DI can reach the ultimate values of +1 and ‒1, and it is stable against the outliers. Because of the computational easiness, DI is specifically suitable for the rough estimation where the sophisticated tools for item analysis such as IRT modelling are not available as is usual, for example, in the classroom testing. Unlike most of the other traditional indices for IDP, DI uses only the extreme cases of the ordered dataset in the estimation. One deficiency of DI is that it suits only for dichotomous datasets. This article generalizes DI to allow polytomous dataset and flexible cut-offs for selecting the extreme cases. A new algorithm based on the concept of the characteristic vector of the item is introduced to compute the generalized DI (GDI). A new visual method for item analysis, the cut-off curve, is introduced based on the procedure called exhaustive splitting.

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.

Digital storytelling has undergone extensive study in different content-areas, but its naturally-combined use with collaborative writing for skills development, and reflective practice remains underresearched in pre-service EFL teacher education. This study undertook joint tech-enhanced retelling of L2 texts by 56 Turkish EFL teacher candidates, rubric-based peer and teacher assessment of final products, comparative analysis of complexity, accuracy, and fluency (CAF) between outliers, and process evaluation using the significant learning taxonomy to explore impacts on L2 writing performance, academic learning, and personal growth. Despite assigning lower scores than the teacher-assessors, especially to the top-performers, the majority of peers successfully fulfilled the job, effectively performed the future reviewer role, and positively reacted to co-construction, and technology integration. CAF and reflection analyses indicated that the biggest difference between the highest- and lowest-scoring groups lay in grammatical accuracy, and lack of mutual interaction could account for the less cooperative group’s poorer performance. The classification of their post-task responses into six kinds of learning gains (foundational knowledge, application, integration, human dimension, caring, and learning how to learn) also revealed that their collaborative digital storytelling experience (CDS) elicited more procedural, critical, creative and practical thinking on the academic learning front, while disciplinary and integrative thinking may have declined due to more immediate preoccupation with task achievement. Their critical thinking was mainly organised around consensus-reaching, fluctuating membership, and logistical challenges, and most demonstrated a clear understanding of the role of positive group dynamics in group outcomes. Despite heightened awareness of the performance-boosting, character-forming, and motivational benefits of collective scaffolding and multimodal meaning-making, a minority could also discern the instrumentality of innovative teaching techniques in their future classroom practices.

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.

Science literacy, which is included in Programme for International Student Assessment (PISA) as an assessment area, is an important research and discussion area of science education literature with all its dimensions. In this study, the clustering results of the students from 34 Organization for Economic Cooperation and Development (OECD) countries participating in the PISA 2015 test and sampled by systematic sampling method are obtained by K-Means Clustering and Two-Step Cluster Analysis using the factor scores and PISA science literacy average scores. It is thought that the study is of great importance in terms of dividing individuals into clusters according to science instruction methods and the mean of plausible values and having an idea about how each cluster is defined. As a result of the K-means cluster analysis, it was determined that the input variable with the highest level of importance in the formation of the first and third clusters in which the students with the highest scores were included was teacher-directed science instruction, and after this variable, the input variable with the highest level of importance was the perceived feedback from science teachers. Within the scope of the Two-Step Clustering Analysis, it was determined that teacher-directed science instruction has the most importance in terms of the decomposition of clusters, followed by adaptive instruction in science lessons in terms of importance level.

For United States of America (USA) and other developed countries, science achievement gaps begin to emerge in elementary and primary school. Such gaps between USA student groups typically are connected to socio-economic status (SES) and issues such as students still learning the English language. Through an experimental design, this National Science Foundation funded study explores how integrating the arts into science, technology, engineering, and mathematics (STEM) curriculum and leading with a more STEAM-first approach (e.g., curriculum which integrates science, technology, engineering, arts, and mathematics) might provide more equitable science learning opportunities for elementary or primary grade level students. More specifically, the project’s research efforts seek to also examine how integrating the arts into science instruction might help emerging bilingual (EB) students who are simultaneously learning the English language and science. Although results provide somewhat conflicting findings of statistical significance with small to moderate effect sizes, outcomes provide initial evidence that leading with STEAM science instruction before STEM efforts can be beneficial to early readers, and for EB students this benefit is magnified. As the title of this study suggest, sometimes finding nothing is something.

Interdisciplinary teaching and learning is an approach that synthesizes the curricular objectives and methods of two or more disciplines or subjects focusing on a specific topic or issue. While it is being increasingly implemented in universities, at lower levels of education there are still countries where science subjects are taught and learned fragmentarily. To assess the significance of the interdisciplinary approach in primary school biology teaching, the paper aims at an experimental verification of the effectiveness of this method in relation to the quality and retention of student knowledge, compared to the monodisciplinary approach to teaching and learning biology. The paper also describes a scenario for teaching a topic in which biological and geographical contents correlate. The study applied a pedagogical experiment with parallel groups. In total, 180 students attending two primary schools in the city of Novi Sad participated in the experiment and were divided into an experimental and a control group. The findings suggest that the interdisciplinary approach improved the quality and retention of student knowledge. The experimental group was more successful in completing tasks that required comprehension and practical application of knowledge. The study thus emphasizes the need for a professional curriculum development that would enhance the interdisciplinary correlation of various disciplines.

The objective of this study was to develop a measure that possesses both reliability and validity in order to evaluate innovative thinking within the realm of education. To achieve this, the instrument's validity and reliability were evaluated through quantitative methods in two distinct phases. A team of educational experts conducted the process of establishing content validity and ensuring that the items on the instrument accurately reflected the intended constructs of creative thinking. Following that, the assessment of concept validity was conducted using confirmatory factor analyses. The aforementioned investigations resulted in the discovery of a five-factor solution consisting of 25 elements, all of which demonstrated scores beyond the crucial threshold. This successful outcome confirmed the presence of distinct factors representing different dimensions of innovative thinking. The study enrolled 1250 students from vocational education institutions as participants. The data obtained from the participants was subjected to principal component analysis and confirmatory factor analysis, leading to the development of a model that exhibited a good match with the empirical data. This indicated the effectiveness of the developed instrument in measuring innovative thinking capacity. In conclusion, the research effectively developed an accurate and dependable tool for evaluating innovative thinking in the realm of education. The gathering of positive data from the participants and meticulous quantitative analyses were responsible for this.