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Large Language Models (LLMs) have the potential to improve education by personalizing learning. However, ChatGPT-generated content has been criticized for sometimes producing false, biased, and/or hallucinatory information. To evaluate AI's ability to return clear and accurate anatomy information, this study generated a custom interactive and intelligent chatbot (Anatbuddy) through an Open AI Application Programming Interface (API) that enables seamless AI-driven interactions within a secured cloud infrastructure. Anatbuddy was programmed through a Retrieval Augmented Generation (RAG) method to provide context-aware responses to user queries based on a predetermined knowledge base. To compare their outputs, various queries (i.e., prompts) on thoracic anatomy (n = 18) were fed into Anatbuddy and ChatGPT 3.5. A panel comprising three experienced anatomists evaluated both tools' responses for factual accuracy, relevance, completeness, coherence, and fluency on a 5-point Likert scale. These ratings were reviewed by a third party blinded to the study, who revised and finalized scores as needed. Anatbuddy's factual accuracy (mean ± SD = 4.78/5.00 ± 0.43; median = 5.00) was rated significantly higher (U = 84, p = 0.01) than ChatGPT's accuracy (4.11 ± 0.83; median = 4.00). No statistically significant differences were detected between the chatbots for the other variables. Given ChatGPT's current content knowledge limitations, we strongly recommend the anatomy profession develop a custom AI chatbot for anatomy education utilizing a carefully curated knowledge base to ensure accuracy. Further research is needed to determine students' acceptance of custom chatbots for anatomy education and their influence on learning experiences and outcomes.

The global talent gap is a consequence of skills mismatch among job seekers. Although micro-credentials appeared to be a potential solution to narrow the talent gap, it is unclear how they can be effectively implemented in a structured academic pathway. The purpose of this study is to explore the potential of a proposed micro-credential model for formal education via the Accreditation of Prior Experiential Learning Micro-credentials (APEL.M), to support the talent gap challenges faced by companies in Malaysia. The study used a qualitative case study method with data collected mainly from a focus group discussion among relevant faculty heads, administrators, and senior management team members. The findings indicated that despite potential challenges and issues towards implementing the new micro-credential model, the proposed model is significant for policymakers, higher education providers, and industry stakeholders interested in addressing the talent gap and creating alternative pathways to formal academic qualifications.

When studying grammar, students must not only focus on its structure but also on its form. Form-focused activities are integral to this process, requiring students to identify and manipulate language forms. A well-established technique for facilitating language acquisition is the consciousness-raising task (CR), which aims to heighten learners' awareness of language form. By prioritizing the language input, students can cultivate a more precise comprehension of grammar structures, thereby enhancing their own language proficiency. This approach entails various strategies, such as inferring grammatical rules from examples, comparing different forms of expression, and examining differences between a learner's usage of a grammar item and that of native speakers. However, designing effective CR tasks is cognitively demanding, time-intensive, and laborious for teachers, as it entails accommodating numerous requirements, including the definition of clear objectives, task relevance, and task engagement. To address these challenges, it is worth utilizing ChatGPT which is an advanced conversational AI system with the capability to process and generate various modalities of language. It has access to extensive databases and can produce written content that is frequently indistinguishable from human-written text. Accordingly, ChatGPT can be utilized to generate CR tasks or materials that may be applied in class. The present study endeavors to offer a range of CR tasks for grammar teaching that have been generated by ChatGPT. The tasks include identification tasks, text correction tasks, word choice tasks, and others.

The procedures of carrying out factorial invariance to validate a construct were well developed to ensure the reliability of the construct that can be used across groups for comparison and analysis, yet mainly restricted to the frequentist approach. This motivates an update to incorporate the growing Bayesian approach for carrying out the Bayesian factorial invariance, as well as the frequentist approach, using the recent add-on R packages to show the procedures systematically for testing measurement equivalence via multigroup confirmatory factor analysis. The practical procedure and guidelines for carrying out factorial invariance under MCFA using a classic empirical example are demonstrated. Comparison between the frequentist and the Bayesian procedures and demonstration using priors are another two nuclei of the paper.

Teaching is often regarded as a profession with a high probability of job burnout. Research has shown a close relationship between teachers' motivation and their burnout, but it has not been closely explored among EFL (English as a foreign language) teachers in Chinese contexts. Considering the large number of college English teachers in Chinese universities and recent changes in their role, the study explores the relationship between their motivation and burnout, as well as the factors that affect teacher burnout among Chinese college English teachers. For this purpose, a total of 261 college English teachers from ten Chinese universities participated in the survey. Among them, 68 teachers submitted their narratives on teacher burnout using the narrative frame. The results showed that high mastery and relational goals and a low level of work avoidance goals contributed to higher motivation and less teacher burnout. The demand for research, lack of autonomy, and guanxi-based practices influenced Chinese teachers' burnout. The results show that teacher burnout is highly context-dependent and affected by the organizational structure and cultural practices. An organizational support needs to be provided for teachers to maintain their mastery goal orientations and increase their autonomy as professional teachers.

This article explores the relation between future-readiness and Islamic education from the perspectives of Islamic learning centers in Singapore. The main research objective is to examine how the concept of future-readiness and related terms are interpreted, framed, and facilitated in Islamic textbooks. Based on a content analysis of the textbooks used at Islamic learning centers for primary students in Singapore, two research findings are reported. First, the Islamic textbooks interpret future-readiness as equipping Muslim learners with Islamic knowledge and values as well as application and learner-centeredness in the modern world. Second, the Islamic textbooks promote information and communications technology (ICT) as part of preparing students for future-readiness. A major implication from this study is that Islamic curricula evolve in tandem with changing times to support the development of future-ready students. In addition, the advancement of future-readiness is situated within an Islamic worldview that emphasizes religious beliefs and values. A significant limitation of this study is that its research method centered on an analysis of textbooks; hence, empirical research is recommended to corroborate the research findings and implications.

As humanity reaches the 5.0 industrial revolution, education plays a critical role in boosting the quality of human resources. This paper reports bibliometric research on emerging TiP during 1993-2022 in the educational field to analyse its development on any level of education during the last three decades. This study employed a Scopus database. The findings are that the trend of TiP publication in educational fields has tended to increase every year during the past three decades and conference paper became the most published document type, the USA is the country which produces the most publications; "Students" being the most occurrences keyword and total link strength. The publication of the TiP is ranked to the Quartile 1, which implies that a publication with the cited performance is a publication with credibility because the publisher has a good reputation. Researchers can find the topics most relevant to other metadata sources such as Web of Science, Publish, and Perish.

Metaverse is a technology which allow users to "experience" a digital universe and includes several components like augmented and virtual reality. Researchers who wish to research the field may not know where to start or the key features of the field. Thus, the present study aims to discuss the general and social, conceptual, and intellectual structures of the field for future researchers on metaverse. For this purpose, the general structure, scientific maps, and socio-intellectual structure of the field were investigated. Then, recommendations are presented for future researchers by bibliometric analysis results. In the study, the abstracts and keywords in publications indexed in the Scopus database and Web of Science database were reviewed. After the data collected from 439 publications were cleaned and combined, 328 documents were analyzed using R. The performance analysis revealed that the most productive writer in the field was Ayiter E., the most influential writer was Bourlakis M., the journal with the most publications was "The Journal of the Association for Information Systems", and the most cited study was "Avatars, People, and Virtual Worlds: Foundations for Research in Metaverses" published in that journal. The examination of the intellectual, social and conceptual framework within the field unveiled predominant associations of metaverse with keywords such as virtual, second life, augmented reality, avatar, virtual world, and virtual reality. The most frequent collaborations were between Korea, Japan and the United States on second life and e-learning.

Background: Learners' writing skills are critical to their academic and professional development. Previous studies have shown that learners' self-assessment during writing is essential for assessing their writing products and monitoring their writing processes. However, conducting practical self-assessments of writing remains challenging for learners without help, such as formative feedback. Objectives: To facilitate learners' self-assessment in writing, we developed a writing analytics toolkit and used data visualisation and cutting-edge machine learning technology that provides real-time and formative feedback to learners. Methods: To investigate whether our newly-developed tool affects the accuracy and process of learners' self-assessment, we conducted a lab study. We assigned 59 learners to complete writing (2 h) and revising (1 h) tasks. During the revision stage, we randomly assigned the learners to two groups: one group used the writing analytics toolkit while the second group was not granted access to the toolkit. Learners' self-assessment accuracy and process of self-assessment were compared between the two groups. Results: In our study, we found the toolkit helped learners in the experimental group improve the self-assessment accuracy of their writing products compared to the learners in the control group. In addition, we also found that the affordances of the toolkit affected the learners' self-assessment process, and poor design affordances may have prevented the learners from reflecting by themselves. Conclusions: Together, our empirical study shed light on the design of future writing analytics tools which aim at improving learners' self-assessment during formative writing processes.

Background: This study examined the effect of computer-supported collaborative argumentation (CSCA) on secondary school students' understanding of socio-scientific issues (SSI). Engaging students in collaborative argumentation is known to help with deepening their understanding of SSI. Methods: In this study, a mixed-method design is used to investigate 84 students' collaborative argumentation processes and outcomes. The statistical analysis, epistemic network analysis and qualitative uptake analysis results showed that CSCA was effective in supporting secondary school students' evidence-based argumentation skills on SSI. Findings and Conclusion: Several cases were presented to show how students engaged in CSCA to explore meaningful learning opportunities and how CSCA helped students' learning on SSI. Implications: The findings provided insights for future innovative teaching and learning SSI in authentic classroom settings.

This study contributes to a growing body of scholarship at the intersection of bilingual education and education policy and examines reclassification, or the transition out of formal English language services in schools, as one potential lever in accelerating or decelerating multilingual learners' science learning. More specifically, it traces multilingual learners' science academic achievement vis-à-vis science test scores over a six-year period using the nationally-representative Early Childhood Longitudinal Study of 2010-11 (ECLS-K:2011) data set. We use regression analyses with panel data to explore the relationship of reclassification with MLs' science achievement at a national scale, and then, how variation in contextual factors (including family, school, and individual characteristics) shapes this relationship. Results show that, after controlling for covariates and prior test scores, reclassification is not significantly associated with differential science test scores when compared to students that retain their EL status. Results further show that reclassification is associated with higher science achievement for MLs who were previously in a dual-language program but lower scores for those with higher prior achievement. We conclude with implications for the reclassification process, as well as directions for future research on reclassification, multilingual learners, and academic achievement.

Ostracism and school engagement have important implications for adolescents' academic perseverance and success. However, limited previous studies have investigated the mediating effects of school engagement on the association between ostracism and academic achievement in the Chinese cultural context. The present study fills in this research gap by examining the mediating effects of emotional engagement, cognitive engagement, and behavioral engagement on the association between ostracism and adolescents' academic achievement. Clustered random sampling was employed, and a total of 728 adolescents (52.6% female) were recruited as participants. The results showed that ostracism was negatively associated with academic achievement. Ostracism was negatively associated with emotional engagement and cognitive engagement, which in turn were related to worse academic achievement. Notably, within the Chinese cultural context, behavioral engagement did not exhibit a mediating effect between ostracism and academic achievement. The findings of the present research have theoretical and practical implications for curtailing ostracism and improving adolescents' academic achievement.

The educational approach known as positive education emerged from positive psychology and frequently attributes its conception of flourishing to Aristotelian eudaimonia. This is a point of contention between scholars who see positive psychology's flourishing as an epithet of Aristotelian virtues and others who have identified critical divergences between the philosophical foundations of positive psychology and Aristotle's normative ethics. Few scholars have examined whether adolescent understandings of flourishing reflect Aristotelian eudaimonia, and whether this is different in positive education students. This paper explores notion of the good life through the writings of 226 adolescents, 93 of whom attend a school that has implemented positive education. These are analysed through an Aristotelian lens, finding more similarities than differences between the groups. Both groups discussed relationships, emotions, and accomplishments, but moral goodness and virtue were not prominent. Conclusions are drawn about the implications of this for 'positive' education and the role it plays in nurturing flourishing.

As linguistic diversity continues to increase in the United States public school system, schools are expected to meet the needs of their ever-changing student body. While much attention within education research has understandably focused on multilingual learners' (MLs) English language acquisition, an emergent body of work points to science as an important subject for attention among elementary MLs. We suggest that understanding what "science and language inputs" are afforded to MLs in schools can contribute to understanding the needs and opportunities for enhancing MLs' science learning. This study leveraged nationally representative data from the Early Childhood Longitudinal Study of 2010-2011 to explore the science and language inputs available to MLs in elementary school. Using descriptive statistics, our analysis of science and language inputs provides evidence on what MLs have, or do not have, access to inside of their schools. Science inputs appear to be relatively evenly distributed across classrooms serving non-MLs, MLs, and subgroups therein. In comparison, language inputs are differentially distributed across ML subgroups, but they are distributed in ways that may align with student needs. However, while the science inputs do not necessarily vary across subgroups, the language inputs do, and this may affect how students can engage with science inputs. In understanding what science and language inputs MLs are afforded, this study provides a foundation for how to improve formal learning environments for them, especially regarding science learning.

Background: Data sharing improves the value, synthesis, and integrity of research, but rates are low. Data sharing might be improved if data sharing policies were prominent and actionable at every stage of research. We aimed to systematically describe the epidemiology of data sharing policies across the health research lifecycle. Methods: This was a cross-sectional analysis of the data sharing policies of the largest health research funders, all national ethics committees, all clinical trial registries, the highest-impact medical journals, and all medical research data repositories. Stakeholders' official websites, online reports, and other records were reviewed up to May 2022. The strength and characteristics of their data sharing policies were assessed, including their policies on data sharing intention statements (a.k.a. data accessibility statements) and on data sharing specifically for coronavirus disease studies. Data were manually extracted in duplicate, and policies were descriptively analysed by their stakeholder and characteristics. Results: Nine hundred and thirty-five eligible stakeholders were identified: 110 funders, 124 ethics committees, 18 trial registries, 273 journals, and 410 data repositories. Data sharing was required by 41% (45/110) of funders, no ethics committees or trial registries, 19% (52/273) of journals and 6% (24/410) of data repositories. Among funder types, a higher proportion of private (63%, 35/55) and philanthropic (67%, 4/6) funders required data sharing than public funders (12%, 6/49). Conclusion: Data sharing requirements, and even recommendations, were insufficient across health research. Where data sharing was required or recommended, there was limited guidance on implementation. We describe multiple pathways to improve the implementation of data sharing. Public funders and ethics committees are two stakeholders with particularly important untapped opportunities.

Systematic reviews have witnessed significant growth across many fields, including education. In this article, we outline the background of this growth, highlight the tendency to focus on methodological considerations, and propose a framework to support education researchers in preparing systematic reviews with broad impact. We draw on our experience working with education stakeholders in Singapore and on international scholarship to propose a framework that supports education researchers in clarifying and specifying their aims and audiences and crafting syntheses of appropriate types. Our aim is that this framework, which includes examples illustrating four categories of reviews, acts as a reflective tool which researchers can use to maximize the utility, value, and potential impact of education research.

Word frequency has a long history of being considered the most important predictor of word difficulty and has served as a guideline for several aspects of second language vocabulary teaching, learning, and assessment. However, recent empirical research has challenged the supremacy of frequency as a predictor of word difficulty. Accordingly, applied linguists have questioned the use of frequency as the principal criterion in the development of wordlists and vocabulary tests. Despite being informative, previous studies on the topic have been limited in the way the researchers measured word difficulty and the statistical techniques they employed for exploratory data analysis. In the current study, meaning recall was used as a measure of word difficulty, and random forest was employed to examine the importance of various lexical sophistication metrics in predicting word difficulty. The results showed that frequency was not the most important predictor of word difficulty. Due to the limited scope, research findings are only generalizable to Vietnamese learners of English.

We present data from the Schools and Staffing Survey and the National Teacher and Principal Survey to document the prevalence of instructional coaching programs (ICPs) and consider how ICPs are distributed by school level, urbanicity, new teachers in a school, student enrollment, school poverty levels, student achievement levels, and state. We show that ICPs are most common in elementary schools, schools located in cities, schools with larger proportions of new teachers, larger schools, schools enrolling larger fractions of economically disadvantaged students, and schools with lower student achievement levels. Additionally, more affluent and higher achieving schools experienced the sharpest increase in ICPs over time.

In the current study, we examined adaptive skills and trajectories over time in 257 individuals with Angelman syndrome (AS) using the Vineland Adaptive Behavior Scales, 2nd Edition. Multilevel linear models were used to examine differences between molecular subtypes over time, from one year to 13 years of age, in the adaptive domains of communication, daily living skills, socialization and motor skills. Individuals with non-deletion subtypes typically demonstrated a higher level of adaptive skills compared to those with deletion subtypes. Statistically significant growth was observed in all adaptive domains through at least early adolescence. Individuals with AS should continue to receive developmental services and educational supports through adolescence and into adulthood given the slow rates of growth being observed across adaptive domains.

Normative studies are needed to obtain norms for comparing individuals with the reference population on relevant clinical or educational measures. Norms can be obtained in an efficient way by regressing the test score on relevant predictors, such as age and sex. When several measures are normed with the same sample, a multivariate regression-based approach must be adopted for at least two reasons: (1) to take into account the correlations between the measures of the same subject, in order to test certain scientific hypotheses and to reduce misclassification of subjects in clinical practice, and (2) to reduce the number of significance tests involved in selecting predictors for the purpose of norming, thus preventing the inflation of the type I error rate. A new multivariate regression-based approach is proposed that combines all measures for an individual through the Mahalanobis distance, thus providing an indicator of the individual's overall performance. Furthermore, optimal designs for the normative study are derived under five multivariate polynomial regression models, assuming multivariate normality and homoscedasticity of the residuals, and efficient robust designs are presented in case of uncertainty about the correct model for the analysis of the normative sample. Sample size calculation formulas are provided for the new Mahalanobis distance-based approach. The results are illustrated with data from the Maastricht Aging Study (MAAS).

This article will reflect on the first author's deanship journey from 2008 to 2014, which saw the mobilization of the NIE Teacher Education Model for the 21st Century (TE[superscript 21]) and conceptualization of the V[superscript 3]SK framework for teacher education curriculum. Taking a big picture approach, the model and framework were architecturally derived through our building block and improvement systems approach where strong foundations were critical. The period of the late 2000s through the next decade saw an increased interest in education reforms worldwide. Two major trends saw a confluence in interest in Singapore. Firstly, there was increased research pointing to the importance of the teacher factor. Secondly, enhanced interest in the Programme for International Student Assessment (PISA) and international comparisons placed Singapore under global spotlight owing to her remarkable performance. Singapore drew much attention from education ministries around the world, which were visiting Singapore to learn how we invest in education and more importantly what we do to bring ideas to fruition. It became clear that the teacher factor was a significant reason for Singapore's success. This article will share on how TE[superscript 21] was a scholarly and pragmatic endeavour resulting from research-informed and motivated teacher educators working with partners and stakeholders in practice whilst taking a globalized perspective. The pinnacle of the TE[superscript 21] model was the V[superscript 3]SK framework which continues to permeate theory and practice. The framework has gone beyond a professional guidepost to capturing the importance of the teacher symbol. In essence, we were building on roots, culture, values, and wisdom as we tapped on science and evidence.

Positive psychology offers a scientific window onto understanding and enhancing the welfare and growth of university communities, and as well as improving academic performance. This holistic approach is on the rise, yet most research is conducted in Western countries. This situation prevails despite the fact that two-thirds of the world's population live in Asia. This review collated and synthesised published work on applications of positive psychology in higher education conducted in Asia, to describe the current status, explore conceptual perspectives and identify knowledge gaps. A total of 147 articles (157 experimental studies), published since 2000, were included. These were descriptive explorations (12.1%), quantifying associations between positive psychology constructs (62.4%), interventions (19.7%), and psychometric evaluations (5.7%). Key topics were academic leadership, organisational commitment, student engagement and foreign language learning. The thematic framework centered on 'Optimal Functioning', with 'Personal Resources One Can Draw On' and 'How One Interacts With The World' as direct influencing factors, and 'Environment' as an indirect factor. Across the Asian region, positive psychology's major contribution is to identify what types of personal resources are associated with optimal functioning in higher education, but there is little high-quality evidence for intervention benefits, nor a deep understanding of how those resources can be effectively deployed to achieve well-being. As part of the third-wave positive psychology movement, scholars in Asia can play a greater leading role in re-evaluating traditional Western concepts to account for the socio-cultural context in which students and staff are embedded.

Math anxiety negatively relates to math performance. This negative relationship may be exacerbated in low-progress math learners. However, there are limited studies on math anxiety among low-progress learners in a paradoxically high-performing education system like Singapore. To fill this research gap, this research analyzed the anxiety profiles of 151 students who were in the math learning support intervention program administered by the Ministry of Education, Singapore (MOE). We examined the complex relationship centered in math anxiety with relevant variables such as demographic characteristics, working memory, and math performance. The results indicated that (1) math anxiety only vary significantly between children with very low Early Numeracy Indicator (ENI) and high ENI levels; (2) a negative relationship between math anxiety and math performance exists; (3) there was no significant interaction between math anxiety and working memory; (4) a further examination on moderating effect found that only children who have been identified as being at risk for developmental dyscalculia and those with average or high working memory performed poorer in math at higher levels of math anxiety. Limitations and future directions are discussed.

The purpose of this paper was to explore the reasons for Corporate Social Responsibility (CSR) engagement among Small Medium Enterprise (SMEs) and Multinational Corporations (MNCs) in Malaysia. The research is situated within an interpretive approach. The interview technique was employed to explore the issue. Interviews were conducted with 8 firms including 4 SMEs and 4 MNCs. The firms were selected based on the firms that are actively engaging in CSR and the detail of CSR activities have been identified via their companies websites. Five themes emerged as the reasons for CSR engagement in SMEs and MNCs: leadership styles, competitiveness, alignment with company mission, vision, and objectives, and resource availability. From the results, this study helps researchers to understand in depth the CSR terminologies, the differences in CSR activities between MNCs and SMEs, and the factors that would influence firms to engage in CSR activities. Other than that, this study will help in initiating programs workshops, seminars, and training to educate managers and SME owners on the benefits of CSR.

To date, most globally reported mpox sequences have come from Europe and North America, where sustained human-to-human transmission has resulted in explosive mpox outbreaks, especially in 2022 (1). A hallmark [...]