Today's college students relate directly to the information through which they learn. They are the ones who detect the information they need, search and evaluate it, and also use it to develop academic projects. Information literacy programs have increased in universities to support the development of these skills to students. The aim of this study was to provide an instrument that allows the measurement of information competency in higher level students and generate evidence of its validity and reliability. The Information Management Brief Inventory (IMBS) was developed, which consisted of 16 Likert type items. IMBS was applied to a sample of 1,937 students from a public university in northern Mexico. For the evaluation of the construct validity and identification of the factor grouping of the items, an exploratory factor analysis (EFA) was carried out. Confirmatory factor analysis (CFA) was carried out to explore the goodness of fit of the model. It was found that the 16 items were grouped into three factors: information management, access to information and information ethics. The psychometric properties of IMBS were adequate.

In this article, we discuss the impacts of using 3D printing in education. Our primary goal is to evaluate the pedagogical impact of lessons utilizing 3D printing. We asked one hundred ninety students in four reference schools about the acceptability of existing 3D materials for teaching. Although the results show high attractiveness for the target group, it turned out that the available lessons primarily focus on the acquisition of technical skills and do not use the potential of education in other areas. We, therefore, proposed a concept for creating multidisciplinary teaching lessons that connect the technical part with other educational areas. We show the application of our concept in a newly developed lesson in biology, where we again evaluate its acceptance among the students. The results show that although the multidisciplinary lessons are more complex, they are still acceptable to the students, and, most importantly, they add significant educational value. Finally, we discuss the possibilities of incorporating 3D printing into the teaching curriculum. We also use a selected use case to illustrate the real-world problems we have encountered.

This study investigated the extent to which demographic variables, principal support and teacher self-efficacy contribute to the collective teacher efficacy. In the study, a non-probability purposive sample was used, which included 761 teachers working in compulsory primary schools in all parts of the Republic of Croatia. The first part of the administered online questionnaire provided data on sociodemographic characteristics of the respondents, while in the second part, the following scales were used: The Principal Support Scale, The Teacher Sense of Teacher Efficacy Scale and The Collective Teacher Efficacy Scale. The results of the performed regression analyses show that: 1) the demographic variables - workplace, promotion to a higher rank and principal support have a predictive value in explaining teachers’ self-efficacy; 2) an average number of students per class, promotion to a higher rank, principal support, teacher engagement and teaching strategies have a predictive value in explaining collective teacher efficacy. The findings of this study will be discussed in terms of their potential impact and future research.

Although central governments, particularly in Latin America and the Caribbean, have defined reducing school dropout rates as a priority, and drawn policies accordingly, there are still young people who do not finish secondary education, and numbers are still alarming. Therefore, it is necessary to observe educational communities and analyze how they interpret and implement guidelines issued by the central government. The following study sought to describe the institutional and teaching practices deployed by four high schools in Valparaíso (Chile) in order to achieve student retention. A qualitative approach was employed. The management team, support professionals, teachers, students, and their families were interviewed. The information gathered was analyzed using the Grounded Theory. As a main finding, establishments use practices such as monitoring attendance, providing support to students facing problematic situations, and encouraging them during class, through a series of strategies. It is recommended that researchers implement this type of methodology for other study objectives, and that the central government consider these results to provide feedback on its policies.

This study aims to develop a Critical Thinking-Independent Learning (CTIL) model to improve students' critical thinking skills that meet valid, practical, and effective criteria. This type of research was Research and Development (R&D), with a one-group pre-test and post-test design without a controlled class. The CTIL model was validated by three experts in the field of science education and then tested on 156 students in three public junior high schools in Surabaya, Indonesia. The results revealed that: (a) The CTIL model was valid based on the model validity score with an average of 3.73 (very good category) and the validity score of the learning materials with an average of 3.72 (very good category); (b) The practical CTIL model based on the averaged observations of the implementation of learning using the CTIL model was 3.88 (very good category); and (c) The CTIL model was effective based on four determining factors, namely: an increase in critical thinking skills, which was statistically significant at alpha .05; the calculated mean N-gain of .72 (high category), similar mean values for all test classes in all schools participated in this study; the effect size of 3.07 (strong category); and the average student response of 84% (very good category).

This paper presents the meaning and characteristics of collaboration between school counsellors, school principals, and teachers in the context of the COVID-19 pandemic in Slovenia and the extraordinary situation in which work in educational institutions changed dramatically overnight and the community of students and professionals moved into a virtual space. In the first part of the paper, we highlight that a strong network of professionals in an educational institution is key to achieving the vision, goals and quality of educational work. In the second part of the paper, we present the results of a survey conducted through an online questionnaire among 328 Slovenian counsellors during the first wave of COVID-19 in April 2020. The results of this survey show a positive attitude of counsellors towards collaboration with principals and teachers. The emergency situation has raised awareness among all school professionals about the importance of mutual support, while providing an opportunity to reflect on ways to improve mutual collaboration and build mutual relationships that enable quality pedagogical work. One of the biggest challenges for any school community now is to maintain the sense of alliance and mutual support that was created in many schools during the pandemic.

Situational interest is an important factor that has a great influence on learning success in both in-school and out-of-school learning situations. Although there has been extensive research on interest in its diverse forms for decades, an evaluated measurement instrument for situational interest that covers the three theoretically defined components of interest (emotional, cognitive, value-related) is still missing. Therefore, in this study, based on person-object theory of interest, a short scale was developed that can be used in a variety of learning programs independent of content or methods. In study 1, eight suitable items were selected and their structure was examined using exploratory methods. In study 2, the results of study 1 were verified using confirmatory factor analyses. Study 3 shows an example of a practical application of the newly developed scale in two different learning settings. The findings provide evidence that the scale developed here is a practical instrument to measure situational interest taking into account all its components. On the one hand, the scale can help teachers evaluate their educational programs; on the other hand, it can be used by researchers to empirically investigate the construct of interest. Thus, the scale makes an important contribution to research and practice.

Higher education institutions have focused their efforts on promoting research seedbeds as a strategy for formative research. In this regard, the impact of such a strategy remains unknown due to the lack of models that enable its evaluation. Therefore, this study aimed to design an evaluation model for the academic productivity of research seedbeds based on the available evidence in the literature. To achieve this, a systematic review was conducted following the PRISMA model, analyzing 53 documents including articles, book chapters, and conference proceedings from the SCOPUS, ProQuest, Jstor, Scielo, and ScienceDirect databases. The results identified indicators that allowed for the design of a model based on six constructs: research training, institutional capabilities, bibliographic production, innovation and development, social appropriation of knowledge, and human resource training. It was concluded that the indicators evaluating research seedbeds seek greater scientific development involving students and improving the quality of research products, which directly impacts the institutional research mission.

School attendance problems are of great research interest, which is reflected in the increase of scientific publications. This increase hinders the adequate follow-up and updating of the scientific community on the subject. The aim of the present bibliometric study lies in the review of the scientific literature published on school attendance problems during 2014-2021. A bibliographic search and analysis of scientific articles was performed, obtaining a definitive sample of 700 documents. Results were extracted and analyzed for the following indicators: temporal productivity, productivity by authors, co-authorship index, productivity by journals, use of topics, research areas addressed and types of samples used. The number of publications indicates a progressive increase of interest on the subject, which has not corresponded to the creation of a specific journal on the subject. There is also evidence of the need for consensus on the topics to be used; the preference for knowing the factors associated with school attendance problems over other areas of research; and the generalized use of community samples as opposed to more specific ones. In conclusion, the characteristics researched on school attendance problems are presented; knowledge that will facilitate the establishment of intervention processes applicable to different contexts and realities.

The Attraction-Selection-Attrition (ASA) model is a prominent framework for supporting employee retention, stating that organisations attract, select, and retain people who share their values. However, the ASA model only extends to the end of the recruitment stage and lacks clarity on how to assist newcomers in the assimilation process when they first join the organisation. This research proposed a refinement of the ASA paradigm by incorporating the assimilation process of new hires into the new school culture and environment. This study employed a qualitative research approach by interviewing ten participants about the retention process from high teacher retention international schools in Malaysia. Thematic data analysis revealed a new paradigm, 'Attraction-Selection-Onboarding-Retention (ASOR), ' designed to increase teacher retention in international schools. The ASOR model could assist school administrators and human resource managers working in a related setting in properly engaging the workforce to increase teacher retention. This would benefit school sustainability, performance and the local community's economy.

The importance of research competence in pre-service teacher education has been highlighted in many studies, but concerns over the lack and inconsistency of definition, measurement, and development of research competence still exist. This poses a challenge for pre-service education programmes to provide quality education to pre-service teachers in this area. Through a systematic literature review it was found that there is a gap in the existing literature regarding the definition of research competence in pre-service teacher education, as there seems to be no consensus on the definition. There is, however, an agreement that the development of research competence is an important part of study programmes, as it contributes to higher quality education of pre-service teachers. Addressing this, the review proposes a concise definition of research competence as a multifaceted construct that includes critical thinking, self-directed learning, and organizational skills essential for effective research. The review also highlighted a lack of consensus on the most appropriate frameworks and tools to use in measuring research competence in pre-service teachers, with studies using various frameworks and tools that differ in terms of research methods, instruments and sample characteristics. The results suggest that there is a need for greater attention to be paid to the definition and measurement of research competence, as well as its development within pre-service teacher education programmes.

This study aims to analyze the effects of working memory capacity and learning styles of prospective mathematics teachers on their ability to solve higher-order thinking problems. In the present study, learning style was considered students' tendency to learn visually or verbally. In addition, the types of higher-order thinking skills (HOTS) problems are complex and non-complex. Multiple regression tests were used to analyze the effects of learning style and working memory capacity. An ANOVA test was also conducted to analyze the ability of each group to solve each HOTS problem. In addition, one hundred twenty-six prospective mathematics teachers voluntarily participated in this study. The study found that learning styles only affected visual problems while working memory capacity (WMC) only affected the ability to solve complex problem-solving skills. Furthermore, WMC affected the ability to solve complex HOTS problems, not non-complex ones. The ability of visual students to solve HOTS problems will greatly increase when the problems are presented in visual form. On the other hand, the obstacle for visual students in solving verbal problems was to present the problem appropriately in visual form. The obstacle for students with low WMC in solving complex HOTS problems was to find a solution that met all the requirements set in the problem.

The world eagerly anticipates advancements in AI technologies, with substantial ongoing research on the potential AI applications in the domain of education. The study aims to analyse publications about the possibilities of artificial intelligence (AI) within higher education, emphasising their bibliometric properties. The data was collected from the Scopus database, uncovering 775 publications on the subject of study from 2000 to 2022, using various keywords. Upon analysis, it was found that the frequency of publications in the study area has risen from 3 in 2000 to 314 in 2022. China and the United States emerged as the most influential countries regarding publications in this area. The findings revealed that “Education and Information Technologies” and the “International Journal of Emerging Technologies in Learning” were the most frequently published journals. “S. Slade” and “P. Prinsloo” received the most citations, making them highly effective researchers. The co-authorship network primarily comprised the United States, Saudi Arabia, the United Kingdom, and China. The emerging themes included machine learning, convolutional neural networks, curriculum, and higher education systems are co-occurred with AI. The continuous expansion of potential AI technologies in higher education calls for increased global collaboration based on shared democratic principles, reaping mutual advantages.

It is known that the COVID-19 pandemic led to learning losses among students both domestically and internationally. Therefore, situational and casual factors were examined to discover and understand them so that learning loss could be reduced or recovered from. This research aimed to: (a) study learning loss situation; and (b) develop and examine the causal model of learning loss among lower secondary school students affected by the pandemic. The sample included 650 Grade 7-9 students selected by multi-stage random sampling. The data was collected using a self-developing questionnaire as a research instrument. The data was analyzed using descriptive statistics, independent samples t-test, ANOVA, and structural equation modeling (SEM) through the LISREL program. The findings were: (a) Lower secondary school students had an average academic achievement learning loss at the moderate level with the highest mean of learning loss in mathematics (M=3.012, SD=1.074), and an average learning characteristics learning loss at the medium level (M=2.824, SD=0.842). Several situational factors had a different effect depending on the school size with a statistical significance of .05.; and (b) the causal model showed the learning loss of grade 7-9 students was consistent with the empirical data (χ2=46.885, df=34, p= .069, GFI=0.991, AGFI=0.964, CFI=0.999, RMSEA=0.024, SRMR=0.014).

This research aimed to explore the influence of a robotic program using the robot kit "RoboBuilder RQ+110" on students' attitudes toward effective communication. The study used a quantitative research design and involved 475 grade 4 (10 years old) students from Malaysia's Selangor and Malacca states. A quasi-experimental research (pre-test & post-test) approach with control and experimental groups was adopted, and the data were analyzed with inferential statistical test and repeated measures analysis of variance (ANOVA) using SPSS 25 software at 0.05 significance level. Questionnaires were administered to collect data from the experimental and control groups. The results showed statistically significant changes (α ≤ .05) in attitudes toward effective communication for the experimental group that received a robotics program compared with the control group. The study results suggest that innovative technological tools or programs such as robotics programs are recommended as innovative science, technology, engineering, and mathematics (STEM) program rooted in constructivism to improve students' attitudes toward effective communication.

During the implementation of the inclusive education policy in several countries in Association of Southeast Asian Nations (ASEAN), the psychological health of special education teachers should be considered as a key success factor. This study explored special education teachers’ perceived work stress (PWS), bio-psychological burn-out symptoms (BPS), and transformational teaching (TFT) in inclusive education in Indonesia and Thailand. There were 177 Indonesian and 199 Thai teachers completing a series of questionnaires that included BPS, PWS, and TFT. The results showed that BPS and PWS were high, whereas BPS and TFT were significantly different across nations. No gender differences were found among both Indonesian and Thai teachers. Moreover, TFT could be significantly predicted by positive age and negative work stress, which explained 8% of the variance among Indonesian teachers (R2 = .08, F(4, 172) = 4.18, p < .01) and by positive age and negative burnout symptoms, which explained 6% of the variance among Thai teachers (R2 = .06, F(4, 186) = 3.18, p < .05). Furthermore, inclusive education policymakers and stakeholders should be aware of psychological health improvement including burnout symptoms and work stress, which negatively invade the role of TFT among special education teachers in both countries.

Understanding graphs in the dynamics of market (DM) is a challenge to learners; its teaching demands a specific kind of teacher’s knowledge. This study aims to examine the topic-specific pedagogical content knowledge (TSPCK) of experienced economics teachers in teaching graphs in DM to enhance learners’ understanding of the topic. It reports using a qualitative approach underpinned by the TSPCK framework for teaching specific topics developed by Mavhunga. Data were collected through classroom observations and analyzed thematically using a case study of two economics teachers. The study revealed that adopting a step-by-step approach and the use of worked graphical examples promote an understanding of graphs in DM. It also established that active learning is preferable to the predominant chalk-and-talk (lecture) method of teaching graphs in DM. The study proposed a Dynamics of Market Graphical Framework (DMG-Framework) to enable teachers, particularly pre-service teachers in lesson delivery, to enhance learners’ understanding of graphs in DM. The result of this study will broaden the international view in the teaching of graphs in DM.

Teacher flourishing encompasses a broad range of well-being, encompassing hedonic (pleasure-based) and eudaimonic (meaning-based) satisfactions. In the context of the literature review, a concise overview is provided, consisting of definitions, predictors, mediators, and outcomes. Conforming to the PRISMA protocol, the present review progresses through four stages: identification, screening, eligibility assessment, and including relevant studies. Furthermore, the search strategy focused on flourishing, well-being, and measuring tools, leveraging databases such as EBSCO Host, Proquest, Science Direct, and DOAJ. In line with the PRISMA statement, systematic review methodology guides the final analysis, incorporating twenty-seven studies published between 2017 and 2023. Despite being studied in numerous theoretical frameworks, teacher flourishing needs a more widely accepted definition and operational framework in studying the concept. The results show that multiple factors impact teacher flourishing, including individual, relational, and organizational elements. Additionally, the evaluation considers direct and indirect predictors, mediators, and outcomes. The new model is related to global well-being, including emotional, psychological, social, and spiritual aspects, stating the connections of these elements. The implications of the results can be effectively applied within educational settings by teachers, policymakers, and scholars specializing in education.

This study aimed to assess the geometric knowledge of student teachers from a university in the Eastern Cape province of South Africa. The study used a sample of 225 first-year student teachers who completed school mathematics baseline assessments on a computer- aided mathematics instruction (CAMI) software. The study adopted a descriptive cross-sectional research design, using quantitative data to measure student teachers’ geometry achievement level, and qualitative data to explain the challenges encountered. The results show that student teachers exhibited a low level of understanding of school-level geometry. The low achievement levels were linked to various factors, such as insufficient grasp of geometry concepts in their secondary school education, difficulty in remembering what was done years ago, low self-confidence, and lack of Information and Communications Technology (ICT) skills along with the limited time for the baseline tests. These results suggest that appropriate measures should be taken to ensure that student teachers acquire the necessary subject-matter knowledge to teach effectively in their future classrooms.

This research attempts to map the trend of research related to differentiated instruction (DI). The research was conducted in May 2023 by researching research articles in the Scopus database. The search data from Scopus used title, abstract, and keyword searches. Research articles were analyzed descriptively based on year of publication, journal name, affiliation, country, and researcher name. The article database from Scopus was analyzed through VOSviewer and RStudio software so that a bibliometric map could be depicted in research related to DI. Based on the Scopus analysis results, it showed that publications of articles related to DI had increased from 2011 to 2021, although it decreased in 2016. The journal with the largest contributor to the publication of research articles related to DI was the Teaching and Teacher Education Journal. Vrije Universitiet Brusel was the university with the most published articles on DI. The country that contributed the most to the research articles related to DI was the United States. Struyven was the most productive scholar related to DI. Through network visualization, it was revealed that the evolution map of research related to DI was divided into five clusters.