STEM education is a pedagogical philosophy which aims to draw the interrelationship between science, technology, engineering and mathematics to solve complex problems in real life situations. In order to use STEM education to foster students’ learning, the researchers designed STEM activities for middle school students related to the concept of force and motion in three different approaches: a linear model, a jigsaw learning and a stand-alone engineering design activity. To compare the effectiveness of the three approaches, the researchers analysed students’ reasoning and problem-solving scores gained before and after doing the activities. The result showed students participating in the linear model and in the jigsaw learning significantly outperformed those in the stand-alone engineering design activity. In addition, when comparing conceptual development between those attending the linear model and jigsaw learning, the result showed that the former significantly outperformed the latter. It is therefore suggested that to maximise the effectiveness of STEM activities in promoting conceptual understanding as well as reasoning and problem-solving skills, teachers should adopt the linear model. However, when instructional time is limited, the jigsaw learning can be considered as an alternative approach. The stand-alone engineering design activity although can promote students’ enthusiasm to learn, it may not sufficiently lead to the development of reasoning and problem-solving skills as expected.

Pearson product–moment correlation coefficient between item g and test score X, known as item–test or item–total correlation (Rit), and item–rest correlation (Rir) are two of the most used classical estimators for item discrimination power (IDP). Both Rit and Rir underestimate IDP caused by the mismatch of the scales of the item and the score. Underestimation of IDP may be drastic when the difficulty level of the item is extreme. Based on a simulation, in a binary dataset, a good alternative for Rit and Rir could be the Somers’ D: it reaches the ultimate values +1 and –1, it underestimates IDP remarkably less than Rit and Rir, and, being a robust statistic, it is more stable against the changes in the data structure. Somers’ D has, however, one major disadvantage in a polytomous case: it tends to underestimate the magnitude of the association of item and score more than Rit does when the item scale has four categories or more.

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.

This article proposes that the reader be nourished by avant-garde elements for new educational practices in the teaching and learning of mathematics. The writing is based on an investigation that was carried out with high school students from Puerto Rico. From a qualitative paradigm with a research design in action, it was explored how students in higher grades resolve situations within their environment. Emphasis was placed on how they analyze through situations in context, and how they build knowledge through the search for a possible solution to the problem through the Project Based Learning strategy. The emphasis in treatment was for students to experience a transdisciplinary environment. Their impressions from the study were the revealing focus of how students learn when they are presented with a situation in their environment, taking roles themselves, solving them it through a project. As part of the project they used their knowledge of science and mathematics to solve the situation. Similarly, they learned mathematical concepts that are part of the Trigonometry course and that are measured in the academic achievement tests called PR Goals, previously known as Puerto Rican Academic Achievement Tests (PPAA).

This study aimed to investigate whether Thai high school students’ perceived teacher support could enhance their reading ability through self-efficacy and sense of school belonging. The theoretical foundation of this study included the theory of social-motivational processes and social cognitive theory. Structural equation modeling was used for analysis and validation. The student questionnaire from the Programme for International Student Assessment (PISA) 2018 survey questions regarding teacher support, sense of school belonging, self-efficacy, and reading ability. The sample consisted of the data collected from the Thai students in the PISA2018 survey, with an effective sample size totaling 7968. The research results of the overall model showed that the perceived teacher support of Thai high school students’ had no direct effect on their reading ability, but their perceived teacher support had an indirect effect on reading ability through their self-efficacy and sense of school belonging. From the results can be seen that high school teachers in Thailand, in supporting and encouraging their students in learning, must simultaneously develop their perceived self-efficacy and sense of school belonging. Only thus can there be obvious help to their students’ reading ability.

Humans have had to immigrate from one country to another throughout the history because of economic problems, warfare, safety, etc. Warfare and migration definitely bring about traumatic incidents for all humanity. However, they are much more destructive for children. The current study aims to review the warfare-and-migration-themed drawings of the Syrian and Palestinian children living in Turkey as refugees in comparison to the Turkish children’s drawings. A case study design was employed as a qualitative methodology. 19 Syrian, 6 Palestinian and 25 Turkish children aged between 6-10 years studying in various primary schools in City of Istanbul made up the study sample. Children were asked to draw pictures of warfare and migration, observed and interviewed for data collection. Content analysis was used to determine the themes present in the qualitative data. The themes identified in the drawings were discussed referring to the literature and recommendations were made.

Satellite remote sensing has been largely adopted in all kinds of environmental applications as it has proved to be an excellent tool for research and decision-making purposes. It has also been recognized as an important educational tool in the past years. However, it has been insufficiently incorporated in school practice, especially at the elementary level. This article describes the use of remotes sensing as a tool to present science topics in the elementary classroom. A phenomenon-based approach was adopted to introduce the Urban Heat Island Effect (UHI) to eighty-one second and third-grade students. The students’ experiences in their learning environment were collected with the use of a questionnaire developed for that purpose. The pedagogical approach encouraged the students’ critical thinking and individual observations to try to explain the phenomenon working with the other students and the adults in the class- room. The phenomenon-based approach, along with the powerful visualizations of the remotely sensed data kept the students motivated and active. Seventy-one percent of the students reported that this was an engaging activity, and seventy-eight percent said that they would like to participate in similar activities in the future. The rest of the responses were neutral. None of the students were previously familiar with remote sensing or the UHI. This experience showed that it is critical to have adequate and appropriate resources readily available, as well as efficient facilitation in order to tackle this pedagogical approach. The activity was organized for Earth Observation Day (EOD), 2016, in the framework of a West Virginia View funded project. EOD is a STEM (Science, Technology, Engineering, and Mathematics) educational outreach event that occurs yearly and during which scientists, all of whom are experts in remote sensing and related geospatial technologies, are available to support teachers in their respective states.

The aim of the present study is to examine the effect level of procrastination on academic achievement. To this end, a meta-analytic approach was applied and the studies published between January 2000 and May 2020 in Education Resources Information Center (ERIC) and Academic Search Ultimate databases were included in the study. The research was limited to articles examining the correlation between the variables and, accordingly, the correlation coefficient was specified as an index to identify the effect size. After reviewing 22 relevant studies with 8307 participants, the meta-analysis was conducted through Comprehensive Meta-Analysis (CMA) software. The findings revealed that the variables were negatively correlated with each other and the overall effect size of procrastination on academic achievement was found -0.61, which can be interpreted as the medium effect size. The findings of the study endorse the main tenets of theoretical framework regarding the aforementioned link.

The aim of this study is to identify whether high school students encounter any difficulties in mathematics and reveal the reasons for such difficulties. The participants of the study, which was a descriptive case study based on qualitative understanding, were a total of 164 students, including 85 students from Anatolian High Schools and 79 students from Science High Schools. Approximately 11% of the participants said they had no difficulties in math, whereas 99% of the students from Anatolian High Schools and 78% of the students from Science High Schools said they had difficulties in mathematic. Their thoughts about the reasons for such difficulties were analyzed by content analysis method considering the type of high school they attended. The findings obtained revealed that the difficulties encountered by the participants in mathematics were teacher-, content- and student-based. Anatolian High School students stated that they intensely faced teacher-based difficulties, whereas Science High School students stated that they faced content-based difficulties. It's expected that the results of this study may contribute to studies to be conducted to increase student success in mathematics education and provide ideas for further studies.

E-learning has become a viable mean to both Massive Open Online Courses (MOOCs), and Small Private Open Courses (SPOCs). Research has shown that the quality and effectiveness of these types of courses depend largely on the contextual factors that may impact the design and development of online courses. This study highlights a design framework for a SPOC offered at Sultan Qaboos University. It employs a design-based research methodology, which is a systematic research approach aimed to improve instructional practices through iterative analysis, design, development, and implementation to produce contextually-sensitive design principles. The sample of this study consists of a diverse group of subjects including instructional designers, subject-matter experts, as well as students. The findings illustrate the importance of contextual logistics that need to be considered in the design and development of SPOCs. The findings also highlight the importance of the DBR as a suitable research methodology for similar developmental studies.

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.

This paper investigated how puppetry could be used to improve the standards of early childhood science education. This study determined the effect of a puppet-making and puppetry workshop on preservice preschool teachers’ beliefs and attitudes towards science education and looked into their experiences during and after puppet-making. Although participants faced some difficulties during the workshop, they developed numerous socioemotional skills. Puppetry activities can help preservice teachers learn how to deliver child-centered, stimulating, and interactive classes. Using puppets in early childhood science education can help teachers develop positive attitudes towards science and offer students high-quality, engaging, and creative activities.

In modern times, the importance of education cannot be overstated. Beyond the acquisition of knowledge, perhaps the most important aim of education may be the development of character in individuals, including vitality, courage, sensitiveness, and intelligence, from which our society may experience increased prosperity, peace, and freedom. In this paper we address the daunting challenge of achieving successful, widespread, and inclusive university education. How do we enliven and engage the students in our classrooms? How can we help each and every student in the class self-actualize and reach the highest potential for learning? Active learning is one well-established and potent solution for accelerating the accumulation of knowledge. In this paper, an experiment in active learning utilizing team-based adaptive online quizzes in an introductory math finance course involving 378 undergraduate students over two years is conducted to explore the potency of this active learning methodology compared to a control group with traditional teaching. We find active learning unambiguously improves knowledge accumulation in the individual students, while simultaneously bolstering inclusive excellence across all students in the class, as measured by a relevant and meaningful quantitative metric. The paper concludes with a discussion comparing the quality of active vs. traditional teaching methods and offers interpretations of the quantitative results. The results of this paper support the widely accepted theme in the literature that active learning has a positive effect on student performance in STEM (Science, Technology, Engineering, and Math) courses.

This study aims to produce empirical evidence of the validity and reliability of instrument items for the competency framework of agricultural teaching staff in Malaysian agricultural vocational colleges. The validity and reliability of the framework were analyzed using Rasch Model Measurement assisted by Winsteps 3.72 software. This research instrument contained 116 items, which was distributed to 30 instructors at the Teluk Intan Agricultural Vocational College, Malaysia. The selection of respondents was made by strata random where the researcher makes the strata of the population according to the percentage and then selects randomly based on the desired percentage. Validity analysis of the instrument was done through four functional testings. For reliability and separation of respondents, it was found that the individual reliability value was very good and acceptable. The results of the item polarity analysis detected no negative value (-) in the Point Measure Correlation value. Item matching analysis found that 11 items had to be dropped as they failed to meet the required conditions. From the analysis on local dependence that determines dependent items based on the standardized residual correlation value, it was discovered that the correlation value for the items used was detected; 13 items need attention. The results of the data analysis checking the functionality of the items suggested that some items should be dropped. The omission of these items has provided evidence that the instrument of competence of agricultural instructors is crucial to have a high level of validity and reliability for use in actual studies.

The article focused on the use of assessment for learning in promoting active learning and learner participation in mathematics. Assessment for learning (AfL) has been found to enhance learning and improve performance. However, teachers’ use of AfL to enhance active learning has not been clearly outlined. This study is part of the broader research study that explored mathematics teachers’ use of AfL to enhance mathematics teaching and learning in primary schools in Alexandra Township, Johannesburg. A case study research-type and a qualitative approach were used to collect data from mathematics teachers. Nine teachers were purposefully selected from whom data were collected using semi-structured interviews and non-participant observation. The findings revealed that teachers had limited pedagogical knowledge in using AfL to promote active learning in their classrooms. They failed to apply a learner-centred approach that promotes effective learner participation in mathematics classrooms. Therefore, it is recommended that teachers undergo ongoing continuous development on classroom time management and planning for the effective use of AfL.

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.

Response times are one of the important sources that provide information about the performance of individuals during a test process. The main purpose of this study is to show that survival models can be used in educational data. Accordingly, data sets of items measuring literacy, numeracy and problem-solving skills of the countries participating in Round 3 of the Programme for the International Assessment of Adult Competencies were used. Accelerated failure time models have been analyzed for each country and domain.  As a result of the analysis of the models in which various covariates are included as independent variables, and response time for giving correct answers is included as a dependent variable, it was found the associations between the covariates and response time for giving correct answers were concluded to vary from one domain to another or from one country to another. The results obtained from the present study have provided the educational stakeholders and practitioners with valuable information.

To explore their role in enhancing graduate employability, the study investigated the effectiveness of student internships as pedagogical practices in promoting employability skills amongst graduating students in four Social Science Degree programmes of selected universities in Zambia. Qualitative and quantitative data were collected from 162 participants through the questionnaires and interview guides using a mixed-methods approach. The participants included different actors in the labour industry as critical informants; graduating students taking Social Science Degree Programmes; Lecturers, and Employers. The quantitative and qualitative data were analysed using the SPSS version 24 and Atlas. Ti. Version 8, respectively. This study employed the Human Capability Approach and Human Capital theories. Findings indicated that although internship practices were considered an essential component in the social science degree programmes for skills development, their effectiveness in promoting employability skills amongst graduating students varied from one programme to the other. The findings have implications on how universities and the labour industry could work together to design and implement internship experiences for students in social science degree programmes that are more effective in promoting the acquisition of employability skills in Zambia.

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.