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This study aimed to explore the linguistic factors that influence the development and diversification of World Englishes along with implications for language teaching, learning, and policy, and to examine the trends in research related to WEs. Using a systematic review process with MAXQDA 20.2.1, the findings indicate that research on World Englishes has focused on a variety of linguistic elements, with a particular emphasis on syntax, phonology, and discourse and pragmatics. The study also highlights the importance of understanding the cultural and linguistic contexts in which English is being used, as these contexts can have a significant impact on the linguistic features and pragmatic norms of different varieties of English. Regarding the challenges that learners face when learning WEs, the findings suggest that learners may struggle with the different semantic features and pragmatic norms of different WEs varieties. In terms of trends in research related to WEs, the findings show a growing interest in the study of WEs from various linguistic and cultural perspectives, including sociolinguistics, applied linguistics, and language education. However, there is a need for a more interdisciplinary approach to research on WEs, incorporating diverse perspectives and methodologies.

Over the past two decades, multiple empirical studies have examined how teacher audio feedback works in EFL/ESL writing courses. This review explores instructor audio feedback studies in higher education writing contexts. Seventy empirical studies were identified in literature searches published between 2000 and 2022 in several academic databases. Then, based on exclusion and inclusion criteria, thirteen relevant studies were reviewed. The results indicate that interest in instructor audio feedback research has risen since 2000. This overview presents what empirical studies on teacher audio feedback in L2 writing courses aimed to find out, how they were conducted, and what they found. As many research designs and findings were underexplored, more studies are required to investigate this feedback type to benefit L2 writing learning and teaching and enrich studies on audio feedback practices. The gaps identified in the selected studies offer ideas for future explorations of teacher audio feedback in L2 writing contexts.

Exploratory data analysis (EDA), data visualization, and visual analytics are essential for understanding and analyzing complex datasets. In this project, we explored these techniques and their applications in data analytics. The case discusses Tableau, a powerful data visualization tool, and Google BigQuery, a cloud-based data warehouse that enables users to store, query, and analyze large datasets. It also explored the benefits and applications of both tools and their integration with other platforms and services. The project offers an introductory insight into Tableau's functionalities, employing a data file from the US Census Bureau via Google BigQuery.

The purpose of this current study is to explore the move structure presented in abstracts of the research articles from Thai Scopus Journals (TSJ) and Top-Ranked Scopus Journals (TRSJ) in Applied Linguistics and English Language Teaching. Ninety abstracts were analyzed and separated equally between those two journals. The five-move framework established by Hyland (2000) was used to analyze the move pattern, showing different dominant patterns: I-P-M-Pr-C in Thai Scopus Journals and P-M-Pr-C in Top-Ranked Scopus Journals respectively. In Thai Scopus Journal, the results indicated that the introduction is optional, the conclusion, purpose, and method are considered conventional, and the product is obligatory. Similarly, in Top-Ranked Scopus Journals, the product is obligatory, while the purpose, method, and conclusion are conventional. These findings could offer practical insights into abstract structures and hold importance for educational purposes, offering guidance for the effective writing of abstracts in research articles.

Financial literacy, as a fundamental skill in the 21st century, has become a life skill that is urgently needed to be improved. Globally, the drive to enhance financial literacy involves integrating it into the education curriculum, necessitating educators' comprehensive grasp of financial literacy education before imparting it to students. This research aims to outline a conceptual model of financial literacy professional development to improve teachers' professional competence, employing a narrative review that synthesizes 28 relevant literatures retrieved from Scopus databases. The results of the study show that an effective training model for teacher professional development (TPD) in financial literacy education should focus on essential financial literacy content consisting of planning and budgeting, banking services, income and careers, insurance, investment, savings, also spending and credit. Furthermore, the main characteristics of TPD regarding financial literacy education should encompass content focus, coherence, ownership, active learning, duration, and collective participation.

This systematic literature review (SLR) aimed to investigate the potential of digital online game-based learning (DOGBL) to enhance motivation in English as a foreign language (EFL). Online gaming has grown in popularity among students, opening up the possibility of using games as powerful instructional resources. Academic achievement depends on motivation, and this study, led by self-determination theory (SDT), explored how external rules, like rewards and recognition, could increase motivation in EFL utilizing DOGBL. The study used the SLR method, examining databases and choosing articles based on predetermined criteria. The chosen publications were examined in-depth, and a preferred reporting items for systematic reviews and meta-analyses (PRISMA) diagram was employed for analysis. For results, DOGBL could enhance teaching EFL by providing flexible and interesting learning environments. Key elements in motivating in DOGBL included game design, personalization, social engagement, curricular integration, and instructor assistance. As a promising method to improve EFL instruction, game-based learning, especially DOGBL, saw considerable developments between 2018 and 2023. Thus, these groundbreaking techniques transformed the way people learn English vocabulary and provided a fun and engaging way to learn the language. For educators and students, the potential for DOGBL to change EFL education is still exciting as technology develops.

As a major shift in education technologies, Adaptive Learning Systems (ALS) use artificial intelligence and similar technologies, adapting the lessons to the needs of individual students. Emphasizing transformative pedagogy and teaching strategies that transform the learners' cognitive and interactive patterns, this study presents a comprehensive bibliometric analysis of ASL. Contrary to conventional teaching methods, ALS alters dramatically the way students think and interact with their environment. This research has utilized an all-inclusive bibliometric analysis to analyze the evolution, trends, and themes in ALS by using an extensive set of data from the Web of Science (WoS) and Scopus. The primary objective of Bibliometric analysis is to map the development of ALS in teaching and learning while marking the important trends, models, and thematic priorities. The relevance of this research lies in its comprehensive analysis of the Adaptive Learning Systems (ALS) field through bibliometric methods, offering critical insights into the trends, key contributors, and thematic developments over time. The systematic evaluation enables the appraisal of the impact created by major contributors like authors, organizations, journals, etc. The study also examines, using the advanced data collection technique, influential articles, and publications that enormously contributed to shaping ALS. Similarly, it does the rating effectively upon evaluating the mutual relationships among important terms, concepts, and factors through co-references and co-occurrences. It highlights the increasing scholarly output and identifies key contributors and influential works, underscoring the growing recognition of ALS's importance due to technological advancements. The study's findings on global research contributions, thematic analyses, and collaboration networks offer new insights into the field's dynamics, setting a foundation for future research directions. To visually represent bibliometric data, web analytic tools are used, explaining intricate relationships and thematic clusters. Identifying the unexplored areas and discussing the practical implications of ASL development, research, and analysis of combined data taken from WoS and Scopus provides a unique perspective. Consequently, researchers, educators, policymakers, etc., get valuable insights that enable advancing and understanding the area. This bibliometric analysis will undoubtedly guide future research in the area of transformative pedagogy as it is the most sought-after method in understanding the scholarly landscape of ALS.

Background: In Malaysia, the mortality from melioidosis infection was reported to be higher than in other infectious diseases. The research on melioidosis is still limited in Malaysia but slightly increasing. Objectives: The objective of the study was to give an overview of the study designs, statistical methods, and comparison of research in identifying the predictors of melioidosis mortality in Malaysia between January 2010 to December 2021. Data sources: Pubmed/Medline. Study eligibility criteria: Original English-language articles were abstracted. The articles that identified the predictors of melioidosis from mortality in Malaysia only included. Letters to the editor, editorials, reviews, systematic reviews, meta-analysis, case reports, and any other ineligible articles were excluded. Results: A total of eight studies were identified related to predictors of melioidosis mortality in Malaysia. From the selected articles, 87.5% were retrospectively collected. Five out of eight articles (62.5%) used the logistic regression in identifying the predictors of melioidosis mortality. Only one (12.5%) used advanced survival analysis methods of Cox regression analysis. Another 25.0% used Chi-square test. Conclusions: Logistic regression methods remain the most common methods of analysis in publications on predictors of melioidosis mortality in Malaysia while retrospective research designs are preferred. There is a limitation of research in predictors of melioidosis mortality and the use of advanced statistical techniques reported using the melioidosis data in Malaysia. More published research on melioidosis will provide input to the clinicians on a more detailed understanding of how to improve the diagnosis of melioidosis and the prognosis factors of this disease.

Continuing education (CE) plays a crucial role in workforce development and economic growth across Asia, yet the landscape of CE research in the region has not been comprehensively mapped. A comprehensive bibliometric analysis of continuing education (CE) research in Asia from 1972 to 2023 was carried out, utilizing data from the Scopus database to map the evolving landscape of CE research in the region. Findings revealed a significant surge in research output since the late 1990s, with East Asian countries, particularly China, Hong Kong (China), and Taiwan (ROC), emerging as leaders in the field. The analysis uncovers several key patterns: institutional collaborations tend to cluster regionally, there's a noticeable generational gap in researcher's networks, and the healthcare sector dominates CE research topics. Recent trends indicate a shift towards digital learning approaches and learner-centered methodologies. The study also highlights the need for increased cross-border collaborations and expansion of CE research beyond the healthcare sector. This research contributes to a deeper understanding of CE research trends in Asia and provides insights for future directions in the field.

The research on artificial intelligence in mathematics education has attracted much attention from researchers since the last decade. This study aims to provide holistic information about artificial intelligence in mathematics education research using bibliometric analysis. Data for the analysis were extracted from the Scopus database from 1986-2023. The analysis, conducted using R-packages (Bibliometrix) and VOSviewer software, identifies the relevant nations, affiliations, journals, articles, and keywords on artificial intelligence in mathematics education research. The study reveals that 565 documents have been published in 354 journals, with an average annual growth rate of 11.27%. These documents, on average, have received 14.61 citations each. The research field has engaged a total of 1,847 authors, with an average of 3.26 authors contributing to each document. Additionally, 17.17% of these publications involved international co-authorship, indicating a moderate level of global collaboration. Our findings reveal a growing interest in using artificial intelligence as an educational tools and methods, particularly in the United States and China, which lead in publication output and citations. The analysis also reveals emerging trends and research gaps. The keywords such as "virtual reality," "sustainable development," and "COVID-19" reflect recent research focus on artificial intelligence in mathematics education research. Meanwhile, the keywords such as "mathematical literacy," "assessment," and "gamification" identified as underexplored areas, suggesting potential opportunities for future research on artificial intelligence in mathematics education research.

Computer engineering students should develop competences related to the contents of databases design and SQL queries. For this purpose, the recommendations on the convenience of changing the traditional teaching methodology to the flipped classroom are followed. In this article we present a quantitative study in which we compare the potential for the development of engineering students' competences in the design and use of databases of the flipped classroom methodology and the traditional teaching methodology. The results obtained in the evaluation of the subject in two different courses are compared. In the first course, traditional teaching methodology was used. In the second one, flipped classroom was used when its implementation had already been tried and tested. In this article we show evidence that the implementation of the flipped classroom teaching methodology provides different results depending on the learning promoted and on the specific contents in the subject of relational databases. We have found evidence that flipped classroom improve theoretical learning outcomes for database design and in the resolution of non-reproductive activities in the SQL queries block. No conclusive benefits are reported for students' competency development for either of the two content blocks.

Social media is one of the platforms that is popular and familiar to various circles. This technology has penetrated multiple fields, especially education. Many studies have shown the use of social media in the learning process. This study aims to explore the use of social media in science learning environments and their impacts. The method used is a Systematic Literature Review with several stages: Identification, Screening, and Inclusion. This systematic literature review used several databases, including Springer, Wiley, and ERIC. The study was limited to the last eight years, from 2016 to 2023. After screening using the PRISMA method, 30 articles were obtained and used as literature material. The study results show that social media can be one of the media used in learning science. Social media, which are often used in learning, include Facebook, Instagram, YouTube, Twitter, and WhatsApp. Science learning that requires visualization is suitable if learned using social media. The use of social media in this learning also needs to be adjusted to the characteristics and features owned. The findings in the article report that social media positively affects collaboration skills, knowledge, motivation, and student-centered learning. However, there are negative impacts of using social media that disrupt privacy. In addition, there is a need for training at each institution so that the use of social media is more optimal.

Listening, speaking, reading, and writing are important skills in English language learning. However, some students are not successful in learning English due to several factors. The model for improving the English learning skills of students is essential. However, except for the HyFlex learning model, no suitable model for learners has been found following the new normal. This research, therefore, identify the bibliographic keywords of HyFlex learning for the English learning skills of teacher students. According to a total of 465 documents published in the Scopus database, 40 articles met the research inclusion criteria and keywords related to HyFlex learning could be used to guide the development of the model of English language learning skills of students. Findings, the keywords of HyFlex learning for the English learning skills of teacher students 42 keywords related to Hyflex learning that clustered into seven categories: Higher education, Learning environment, Teaching and learning model, Digital technology for learning, Teacher, Student, and English language.

This study aims to generalize the reliability of the GAAIS, which is known to perform valid and reliable measurements, is frequently used in the literature, aims to measure one of today's popular topics, and is one of the first examples developed in the field. Within the meta-analytic reliability generalization study, moderator analyses were also conducted on some categorical and continuous variables. Cronbach's [alpha] values for the overall scale and the positive and negative subscales, and McDonald's [omega] coefficients for positive and negative subscales were generalized. Google Scholar, WOS, Taylor & Francis, Science Direct, and EBSCO databases were searched to obtain primary studies. As a result of the screening, 132 studies were found, and these studies were reviewed according to the inclusion criteria. Reliability coefficients obtained from 19 studies that met the criteria were included in the meta-analysis. While meta-analytic reliability generalization was performed according to the random effects model, moderator analyses were performed according to the mixed effect model based on both categorical variables and continuous variables. As a result of the research pooled, Cronbach's [alpha] was 0.881, 0.828, and 0.863 for total, the negative, and positive subscales respectively. Also, McDonald's [omega] was 0.873 and 0.923 for negative and positive subscales respectively. It was found that there were no significant differences between the reliability coefficients for all categorical variables. On the other hand, all continuous moderator variables (mean age, standard deviation age, and rate of female) had a significant effect.

The objective of this article is to synthesize the components of entrepreneurial orientation of higher education student using a systematic literature review methodology. Information was sought by searching the following electronic journal databases: 1) Eric (Education Resources Information Center), 2) Science Direct, 3) Scopus, and 4) Thai-Journal Citation Index Centre (TCI) covering publications from 2015 to 2023. The tool used in this systematic literature review consists of 3 parts: research screening form, critical appraisal form and data extraction table. Research selection is carried out by researchers and experts. Analyzing data by using descriptive statistics such as frequency, percentage, and summary analysis of content. The research results indicate that out of a total of 1,205 studies identified, only 13 met the criteria. The researchers selected the components of entrepreneurial orientation of higher education student level that occurred with a frequency of three or more, constituting 25 percent of the total frequency. In conclusion, the components of entrepreneurial orientation of higher education student consists of 5 elements, ranked from highest to least frequent, as follows: 1) Risk Taking, 2) Innovativeness, 3) Proactiveness, 4) Autonomy, and 5) Competitive Aggressiveness.

Theoretical framework is one of the main parts of the research paper, so that researchers are expected to be able to determine the relevant theory that underlies their research. The purpose of conducting this systematic literature review (SLR) is to review of theoretical framework, compare, and describe various theoretical research frameworks in an investigative manner on the theme of self efficacy in collaborative science learning that underlies publications in Scopus indexed journals in the last ten years. In this regard, we used the phrase "self-efficacy in collaborative science learning" on the disbursement menu in the Scopus database and found 711 articles. There were 63 articles that met the criteria for analysis. The inclusion and exclusion model used is PRISMA. The newly discovered aspects consist of community of practice, professional learning community, and reflection, which are as a result of the development of a theory of change and a theory of instruction constructed from theoretical frameworks in the recent collaborative science learning practices literature. Therefore, the development of this theory can be considered as a theoretical basis for developing the self-efficacy of prospective science teachers in collaborative learning in the future. The purpose of conducting this systematic literature review (SLR) is to review, compare, and describe various theoretical research frameworks in an investigative manner on the theme of self-efficacy in collaborative science learning that underlies publications in Scopus indexed journals in the last ten years. In this regard, we used the phrase "self-efficacy in collaborative science learning" on the disbursement menu in the Scopus database and found 711 articles. There were 63 articles that met the criteria for analysis. The inclusion and exclusion model used is PRISMA. The newly discovered aspects consist of community of practice, professional learning community, and reflection, which are as a result of the development of a theory of change and a theory of instruction constructed from theoretical frameworks in the recent collaborative science learning practices literature. Therefore, the development of this theory can be considered as a theoretical basis for developing the self-efficacy of prospective science teachers in collaborative learning in the future.

The "Merdeka Belajar -- Kampus Merdeka" (MBKM) program emphasizes learning relevant to the needs of workplace so that students can compete with their abilities. However, the lack of information regarding MBKM is an important note. The research aims to analyze and review Scopus-indexed MBKM documents critically. The research focus is research trends, crucial information, and research recommendations. The research method used is a Systematic Literature Review (SLR) supported by the VOSViewer application. SLR evaluates and analyzes documents systematically and VOSViewer visualizes relevant document results. Documents described from 2021 to 2024. The number of articles used was 29. The research results show that the number of documents related to MBKM has increased, indicating the great attention of researchers to this program. The MBKM program received a positive response from institutions and students. However, several aspects of implementing the MBKM program still require more attention. The bibliometric visualization results show that several clusters are not directly related to the MBKM program, which provides opportunities for future study. Apart from that, the quality of learning needs to be improved through various learning activities so that student's skills and abilities can be empowered more optimally, preparing them to face increasingly rapid developments.

Plant metabolite compounds have been applied on plant cellular metabolism, produces organic and inorganic compounds, primary and secondary bioactive molecules, such as glucose, amino acids, fat acids, alkaloids, flavonoids, and terpenoids. Undergraduate biology students learn about the plant terpenoid assisted by bioinformatics to store, manage, and interpret the molecular information about these compounds. This research aims to observe the students' understanding of terpenoid through implementing bioinformatics approach. Besides, to investigate how practice the bioinformatics technology in learning terpenoid may impact students' comprehension of plant metabolism domain and their acquisition of bioinformatics inquiry skills. Bioinformatics is a computational database that relies on digital repositories of molecular biology informations. Data analysis was in the form of quantitative and qualitative descriptive using module learning resources based on terpenoid research and assisted by bioinformatics. The results indicate that students' comprehension of learning and understanding terpenoid has improved, identification and analysis processes of article reviews showed that students were able to discuss and interpret research finding in silico bioinformatics using molecular docking procedures. Assessment of bioinformatics skills showed that all undergraduate biology students could follow the direct instructions well, answer the questions, practice the dry-lab experimental, and formulate the conclusion correctly.

STEM (Science, Technology, Engineering, and Mathematics) education is a 21st century learning approach that is extremely important to students and children nowadays. Many developed countries have emphasized this approach to early childhood education (ECE). Although there are some challenges in promoting children's cognitive development in preschool, there are some best practices that early childhood educators can use as a guideline in planning, implementing, and evaluating their development at school. Four databases were used to find the best practices consist of Scopus, ERIC, Web of Science, and Science Direct. These databases are consulted to analyze published articles that produce findings on the best practices and challenges of implementing STEM activities that have been recorded either in kindergarten or preschool environments. The findings revealed there were 23 themes for the best practices and 10 themes for challenges that were successfully analyzed. In order to ensure that STEM education can be implemented with better quality in the future, educators should know the best way to implement the activities by practicing the best practices. In addition, educators also need to take action wisely when there are challenges in implementing STEM activities so that children can acquire meaningful experience when participating in the activities.

Students' emotional engagement in the context of second language and foreign language classrooms can be seen as a multidimensional construct to include cognitive, behavioral, social, and emotional dimensions of engagement. In Applied linguistics research, however, the term "engagement" is shared intuitively and optimally for language learning. The aim of this study was to take a step forward and investigate the extent of emotional engagement in online learning environments, and whether such emotional engagement can be used as a quantitative indicator to measure the degree of students' emotional engagement in behavioral, cognitive and social interaction among language learners. The study employed a mixed method research design, with data collected through literature research, questionnaire survey, and in-depth interviews. The findings of the study revealed that online learning interactive experience was significantly and positively correlated with language learners' emotional engagement, particularly due to its ease of use, interactive content, and design. The study also found that the online learning experience indirectly affected emotional engagement by increasing students' motivation and interest in learning. Finally, the study also found factors such as gender, grade level and subject influencing the relationship between the interactive online learning experience and emotional engagement. These findings reveal the positive impact of online learning interactive experiences on language learners' emotional engagement and highlight the mediating role of motivation and interest in learning. The study recommends devising such strategies that enhance language students' learning engagement in online learning environments and facilitate their participation in the learning process. These findings have implications in the form of improvement of language learners' learning experience and emotional engagement, which can also enhance their academic performance.

This study aims to examine the studies on computer-assisted teaching in science teaching in terms of different variables with bibliometric analysis. Scopus database was used to collect the data. The phrase "science education and computer-assisted teaching" was written in Scopus on 11_07_2023, and 1232 publications were found. Since not all data is related to computer-assisted teaching in science education, the Scopus Social Science section was selected and filtered, and 454 publications were subjected to bibliometric analysis. VOSviewer program was used for bibliometric analysis. As a result of the research, most studies on computer-assisted teaching in science education were done in 2010, most articles were preferred as document type, the most frequently used keyword was computer-assisted instruction, the country with the most publications was the United States, and the most cited publication was Leidner and Jarvenpaa (1993) and the most frequently used term is student.

This study conducts a bibliometric analysis to map the research trends and intellectual landscape surrounding the development of scientific literacy assessments in educational contexts from 2019 to 2023. Scientific literacy, which encompasses the ability to comprehend, evaluate, and apply scientific knowledge, has emerged as a crucial competency in science education. However, existing assessment tools often prioritize factual recall over deeper conceptual understanding and critical thinking abilities. To address this gap, there is a need for innovative assessment approaches that holistically evaluate students' scientific literacy across multiple dimensions. Through a systematic analysis of 185 relevant publications from the Scopus database, this study investigates the numerical distribution of literature by year, document type, journal, author, institution, and country. Additionally, it explores the prominent themes, evolving topic trends, and emerging clusters within the scientific literacy assessment research domain. Bibliometric techniques, including citation analysis, coauthorship networks, and keyword co-occurrence mapping, are employed to provide a comprehensive perspective. The findings reveal a steady increase in publications focused on scientific literacy assessments, reflecting the growing recognition of this research area. The analysis identifies highly influential journals, articles, authors, and institutions actively shaping the field. Furthermore, it highlights key research themes, such as secondary education, teacher professional development, and information literacy. However, the integration of scientific literacy assessments with artificial intelligence remains an underexplored area, presenting opportunities for future research.

This contrastive corpus-based study aims to analyze the similarities and differences of two synonyms "important" and "significant" concerning on the degree of formality in their distribution across genres as well as their collocations and semantic preference. The corpus data derived from the Corpus of Contemporary American English (COCA) and the British National Corpus (BNC) which represent varieties of English usage across different cultures (American and British). This study analyzed the top 20 noun collocates with Mutual Information (MI) scores value of at least three. The corpus data from COCA and BNC explored some shared characteristics and contrastive features. The findings discovered that the two adjectives have the same core meaning and degree of formality since their highest frequency in academic texts whereas frequencies are the lowest in informal genres i.e. TV and movie subtitles and fiction. In certain conditions, these synonyms are different in terms of noun collocation due to the fact that these synonyms co-occur with particular noun collocates. Interestingly, the findings also confirm two adjectives are near synonyms as they share only two similar theme of semantic preference. In consequence, the two synonyms cannot be used interchangeably in all contexts. Moreover, it was found that the corpora provide some useful details that are deficient in the dictionary.

This research focuses on the survey and study of building architecture built in approximately 1932-1992, in Nakhon Nayok Province, Thailand with the three research objectives: (1) to study modern architecture buildings in Nakhon Nayok that reach the criteria of modern building value for conservation and lifelong learning, (2) to create a roster of modern buildings in Nakhon Nayok by studying the distinctive features of architecture and its historical, social, economic, educational, and other valuable significances; and (3) to create a valuable buildings database according to modern architecture criteria, to be uploaded to the micro-phishing system, and to publish modern architecture conservation database in digital and photographic files as the database of Nakhon Nayok. The main features of the buildings are consistent with the nature of modern architecture that shows the structure importance, and the use of technology of various materials which shows the advance construction technology in those days. The buildings are as simple as a box. They are useful, respond to the public, worth to society and culture, and contain of historical significance. From the survey and study in Nakhon Nayok, it was found that there were 43 buildings reaching the criteria of modern building value for conservation and were saved in the database in accordance with the micro-phishing model. The details of 43 modern buildings are presented in a digital file format and photo database of modern buildings in Nakhon Nayok to propagate the modern architecture conservation database as a lifelong learning resource for the benefit of interested people.

This study aims to map the landscape of the importance of previous research on computational thinking (CT) in mathematics learning over the last decade. This research is a literature review research, there are 113 publications collected from the Scopus database which are then analyzed using the bibliometric analysis method assisted by the Vosviewer application. The data taken from the Scopus database was refined so that it became 113 publications. The results of the study show that publications are spread across various continents, including America, Asia, Africa, and Europe. The United States and the United Kingdom are the most influential countries and have high cooperation with other countries in this field. The main conclusion from this study is that computational thinking has an important role in learning mathematics and STEM. The integration of computational thinking in the mathematics curriculum can improve students' understanding of mathematics and help them face the challenges of the digital age. In addition, the development of effective training methods for mathematics teachers as well as the assessment of good computational thinking learning tools and platforms can help improve the effectiveness of computational thinking teaching in mathematics contexts. These innovations will help better understand how computational thinking can be effectively integrated in mathematics learning and prepare students for a future filled with digital technologies.

In learning mathematics in the 21st century and after the COVID-19 pandemic, a multimodal role in the process of drawing conclusions involving mathematical symbols or signs is very much needed. This process is called multimodal semiotic reasoning. This research aims to study the literature on multimodal semiotic reasoning research articles. Until April 2023, there were 32 articles on the keyword multimodal semiotic reasoning with the subject of mathematics in the Scopus, Science Direct, and ERIC databases. Furthermore, it is identified based on a) suitability of criteria; b) the similarity of the articles in the three databases. Finally obtained 24 articles that meet the requirements for further research. A literature review on multimodal semiotic reasoning is explored based on a) kinds of mathematical reasoning involving symbols and signs using multimodal, b) multimodal used in research, c) the most researched mathematical concepts and the mathematization process that occurs, d) the role of multimodal semiotic reasoning in mathematics education. The results showed that a) the most dominant type of mathematical reasoning involving objects, symbols, and signs using multimodal was Algorithmic Reasoning (AR), b) the most multimodal source was verbal answers, c) the concept of geometry through a process of vertical-horizontal mathematization was the most researched, and 4) the biggest role of multimodal semiotic reasoning for the benefit of knowledge of mathematics education. In conclusion, multimodal semiotic reasoning has had a major impact on mathematics education and research on this multimodal semiotic reasoning will continue to thrive in the future. [Note: The publication year (2023) shown in the citation on the PDF is incorrect. The correct publication year is 2024.]

This study aims to create a comprehensive bibliometric map of published scientific articles on e-learning in mathematics education (ME). We used Web of Science (WoS) database to analyzed 341 articles published by 1018 authors representing 79 countries between 2012 and 2022. In this context, we examined scientific articles in terms of scientific production, network analysis, trend topics, thematic change, and conceptual structure. Bibliometric analysis was performed in the study. According to findings, the number of published articles differ according to the years, but the number of citations is constantly increasing. Albano, and Dello Iacono are the most prolific authors. The most productive institutions are Salerno and Black Sea Technical Universities. China, USA, and Russia lead the countries of the corresponding authors. According to the network analysis, the journals of Computers & Education and Computers in Human Behavior form strong links. The most used keywords are students, technology, and mathematics. The pandemic, COVID, reality, and process are trend topic titles. It determined that the best size reduction obtained in the conceptual analysis constituted approximately 31% of the total variability. We presented some suggestions based on the findings obtained at the end of the research.

GPT-3 is a neuronal language model that performs tasks such as classification, question-answering and text summarization. Although chatbots like BlenderBot-3 work well in a conversational sense, and GPT-3 can assist experts in evaluating questions, they are quantifiably worse than real teachers in several pedagogical dimensions. We present the first systematic literature review that analyzes the main contributions and uses of GPT-3 in the field of education. The protocols suggested in the PRISMA 2020 statement were followed for the drafting of the review. According to the results, 34 significant productions were identified through a systematic search in ISI Web of Science, SCOPUS and Google Scholar. GPT-3 has been considered in the academic, ethical and medical fields, in humanities and in computer science, in the formulation of questions and answers, and through cooperative educational dialogs. GPT-3 has been proven to have valuable applications in education, such as the automation of routine tasks, in making quick diagnoses of the students' weaknesses and in the automatic generation of questions, but it still faces challenges and limitations that require additional investigation. We discuss the educational possibilities and the limitations to the use of GPT-3.

This systematic review aimed to provide a comprehensive view of critical pedagogy-informed collaborative professional development practices in English language teaching. Using four databases and relevant keywords, we found 67 studies conducted in Asia, South/Central/North America, Europe, Australia, and the Gulf countries and systematically analyzed them. Results show that critical collaborative practices enabled teachers to develop a critical stance, implement pedagogically critical actions, and initiate social change regarding social awareness and power distribution. However, these changes, visible in teachers' pedagogical practices, have not expanded onto a macro-social level. Implications for language teacher development program planners and policymakers are discussed.

This article presents the life story of "Profile." The story is based on an ethnographic case study that aimed to understand the viewpoints of Profile's new writers and reviewers regarding the role of scientific journals in fostering communities in the knowledge society. To gather information, I relied on personal reflections from my experience as the creator and editor of the journal, along with documentary evidence (published issues, regularly collected statistics, editorial workflows, and communications with editorial teams and various bodies of Universidad Nacional de Colombia, which funds the publication). The story illustrates the inception, development, and primary challenges that need to be addressed to ensure its continuity.

A major pre-award administrative challenge research universities face is turnaround time for generation of high-quality NIH Data Training Tables for NIH training grants (e.g., T32, K12, TL1, KL2, R25s) which are required for training grant submission proposals to the National Institutes of Health (NIH). Universities with dedicated training grant submission offices generally require data preparation following a structured timeline of several months in advance of the grant submission due date, while other universities with less or no dedicated support for training grant submissions use an ad hoc approach. In these cases, department or program administrators may collect the data manually, in Excel or REDCap, or similar manually maintained methods for those tables requested by the specific NIH grant announcement for the relevant participating graduate predoctoral and/or postdoctoral (including clinical) training programs across the university, depending on the training focus and the "participating faculty" provided by the proposed program director (PD/PI) for the grant. We describe an efficient "federated" method of data collection and construction for NIH Tables (2, 4, 5A/B, 6A/B & -8A part III/8C part III) for new and renewal applications by combining the use of REDCap and NIH xTRACT, leveraging the strengths of each.

This paper investigates the integration of blockchain technology into core systems within institutions of higher education, utilizing the National Institute of Standards and Technology's (NIST) Cybersecurity Framework as a guiding framework. It supplies definitions of key terminology including blockchain, consensus mechanisms, decentralized identity, and smart contracts, and examines the application of secure blockchain across various educational functions such as enrollment management, degree auditing, and award processing. Each facet of the NIST Framework is utilized to explore the integration of blockchain technology and address persistent security concerns. The paper contributes to the literature by defining blockchain technology applications and opportunities within the education sector.

The aim of this study is to reveal the content analysis and trends of studies on misconceptions in biology education. Within the scope of the research, articles containing misconceptions about biology were accessed from the Scopus database. "Biology and misconception" was searched in the title, abstract and keywords in the Scopus database on September 13, 2022. A total of 410 publications about misconceptions in biology education were found in the search. The years of accessed publications were determined between 1970 and 2022. A total of 410 publications were analyzed in the research, regardless of language. According to the data obtained, 53 countries and 143 journals published articles on misconceptions in biology. However, in order to obtain clearer data, 3 articles were determined as the minimum number of articles for a country, and 31 countries and 27 journals were considered in this research. According to this research, in terms of the number of documents, the USA is the most published country with 199 articles, and Turkey is the second most published country with 39 studies. It was also revealed that the most cited countries were the United States, Australia and the United Kingdom, respectively. "CBE Life Sciences Education" and "American Biology Teacher" journals were determined as the journals with the most publications on the subject. In addition, Journal of Research in Science Teaching, CBE Life Sciences Education, International Journal of Science Education, Journal of Biological Education, Evolution: Education and Outreach were identified as the most cited journals in the studies. The results of this study are thought to be important for the future development of studies on misconceptions in biology education. Regarding the results obtained from the research; Different indexes can be used in future studies, and other types of publications such as theses, conference proceedings or books can be used in analyses.

This research aims to analyze the results of studies conducted in Turkey on reasoning skills in mathematics teaching and to reveal what kind of trend there is in this field. Within the scope of this study, databases were searched with the keywords "reasoning"(muhakeme, akil yürütme) and "reasoning skill" (Muhakeme becerisi, akil yürütme becerisi), and the results were examined in accordance with the inclusion criteria regarding mathematics teaching. One hundred sixty-three studies were included. Each of the studies included in the meta-synthesis study was analyzed descriptively according to type, year, method, sample type and size, data collection tools, statistical analysis, learning field, keywords, reasoning type and purpose. In addition, the studies' results were content analyzed and tabulated by coding the differences and similarities between them with a holistic approach. It has been determined that studies on the learning fields in the mathematics curriculum are mostly carried out in the field of learning numbers and operations in the secondary school mathematics curriculum. When evaluated in terms of reasoning types, almost half of the studies were conducted on mathematical reasoning. It has been observed that after mathematical reasoning, the most focus is on proportional reasoning. When the aims of the studies included in the research were examined, it was determined that the most focused ones were "examining the factors affecting reasoning skills", "measurement of reasoning skills" and "the effect of teaching practices on reasoning skills". In the studies examined, it was seen that there were 33 teaching practices whose effects on reasoning skills were examined.

The aim of this study is to conduct a content analysis of theses on the Turkish Language Teaching Curriculum conducted between 2002 and 2023 in Turkey. The study includes the theses available in the National Thesis Center database and accessible to other researchers. We employed a qualitative research approach and its e method of document analysis in this study. We identified 328 theses related to the Turkish Language Teaching Curriculum through a comprehensive search in the National Thesis Center database. However, upon closer examination, we determined that 238 of these theses were not directly relevant to the Turkish Language Teaching Curriculum and therefore we excluded from the study. We analyzed the remaining 90 theses using content and frequency analysis methods. The analysis involved determining the publication year, subject area, study group, methodology, and findings of the theses, and identifying the frequencies of the determined findings. Subsequently, we presented the findings in the form of figures, graphs, and tables for better understanding. According to the results of our study, we found many theses conducted between 2002 and 2023 focused on learning outcomes, predominantly employed qualitative research methods, and that 2019 had the highest number of thesis studies. We observed that teachers were the most preferred sample group in the studies.

It is important to prioritize intersectoral action at schools to prevent the use of alcohol and other drugs. This strategic act should be organized with multidisciplinary learning characteristics and with the involvement of different stakeholders. The aim of a recent scoping review was to identify the factors that benefit and hinder intersectoral actions at school resulting from the elaboration of policies to prevent drug use. It seems like the research study was a scoping review that used the P-population, C-context, and C-concept structure. The study searched for information in various databases like Embase, Proquest, Lilacs, Medline via Pubmed, PsycInfo, WHO-Iris, and PAHO-Iris on April 17, 2023. According to the results, there were 5 studies that were eligible to answer the research question. One of the advantages of intersectoral actions is the role of schools in creating a support network with different social actors, particularly with family involvement. On the other hand, one of the challenges is inconsistencies in legal regulations, which do not provide enough guidance to schools on how to prevent alcohol and drug use. While public and private schools may be affected differently by social and economic factors, it is essential to invest in developing policies that focus on drug prevention for children and adolescents who are learning in schools.

Background: The "Journal of Engineering Education" ("JEE") is a leading academic journal that serves to cultivate, disseminate, and archive scholarly research in engineering education. Bibliometric analysis has been gaining considerable interest from the scientific community in recent years. However, to the best of our knowledge, bibliometric analysis was not employed to analyze the publications of "JEE." Purpose: In recognition of "JEE"'s 111 years of publication, this paper uses bibliometric analysis to provide a retrospective journal overview. This study analyzes the publication characteristics, influence, and collaborative relationship of "JEE." It also provides data for the development of future research. Method: A total of 1251 articles of "JEE" were retrieved from Scopus database for our bibliographic analysis using VOSviewer (Van Eck and Waltman, "Scientometrics" 2010; 84(2):523-538). The search was performed in mid-November 2021 using the term "Journal of Engineering Education" in the "Publication Titles" field, yielding 1379 documents between 1969 and 2021. We excluded editorials and notes and only included articles, reviews, and conference papers. Results: "JEE" has increasing contribution and influence within empirical engineering research publications regarding the quantity and the quality/citations of its published articles. The top contributing institutions are mainly from the United States. Major themes identified include knowledge acquisition and skill development, diversity and inclusion, engineering research and assessment, engineering learning mechanisms, and instrument and measurement. Conclusions: Emerging technologies and challenges provide new research topics and directions for "JEE." Additionally, this study uncovers certain research gaps that "JEE"--to increase contributions and influence--can identify as growth areas.

In academic settings, help-seeking and help-giving are two learning behaviors that have been shown to support student interaction and success. However, existing conceptualizations of these behaviors often overlook the influence of a student's cultural context. Specifically, there remains a lack of clarity around how students' attitudes and behaviors related to academic help-seeking and help-giving may differ in predominantly individualist versus collectivist cultural contexts. To address this issue, an integrative review of 18 sources from PsycINFO, ERIC, and Google Scholar was conducted to examine individualism and collectivism's relationship to students' academic help-seeking and help-giving behaviors. Results demonstrated that cultural orientation plays an important role in impacting students' willingness to seek and provide academic help, their motivations for participating in or avoiding helping interactions, as well as their preferred avenues for seeking and providing academic help. Ultimately, this review highlights the intertwined nature of culture and students' helping behaviors, as well as enhances existing understandings of how future research and educators can support students' help-seeking and help-giving behaviors in a culturally sensitive manner.

The purpose of this research study was to examine the overall effect of adaptive learning systems deployed using artificial intelligence technology across a range of relevant variables (e.g., duration, student level, etc.). Following a systematic procedure, this meta-analysis examined literature from 18 academic databases and identified N = 45 independent studies utilizing AI-enabled adaptive learning. This meta-analysis examined the overall effect of AI-enabled adaptive learning systems on students' cognitive learning outcomes when compared with non-adaptive learning interventions and found that they have a medium to large positive effect size (g = 0.70). The effect was significantly moderated by publication type, origin of study, student classification level, student discipline, duration, and research design. In addition, all three adaptive sources (cognitive, affective, and behavioral) and adaptive targets (navigation and assessment) were significant moderators. The type of AI used in the adaptive engine did not moderate the effects. Implications for both practice and research are provided.

The research reported in this article explored the implementation of Trilingual Education Policy in Kazakhstan. The authors explain the challenges stakeholders came across while taking on the reforms in the language-in-education policy. In this context, the scholars describe four main challenges, such as the simultaneous implementation of several reforms, teachers training, a lack of an English environment, and different language origins. The topic is important, as the issue has been raised for almost two decades. Despite the two decades of meticulous deliberation and piloting of the system, it has not been fully implemented yet. During the research, a systematic literature review method was adopted. The authors used Google Scholar, ERIC, Web of Science, and Scopus databases as well as the official websites of the Government of Kazakhstan and Media resources. This review was conducted using Russian, English, and Kazakh databases.

The relationship between emotion and language in children is an emerging field of research. To carry out this type of study, researchers need to precisely manipulate the emotional parameters of the words in their experimental material. However, the number of affective norms for words in this population is still limited. To fill this gap, the present report presents a set of 7 norms that measure the emotional parameters (valence, arousal) of words rated by children in French, English, German, Spanish, and Chinese. The high correlations between the valence values and the moderate correlations between arousal values of these norms allow us to determine a cross-language homogeneity of emotional representations in children. Thus, this report introduces a significant metanorm with 508 words characterized by valence and by arousal. This tool is a worthwhile resource for researchers interested in the links between emotion and language, as well as for those interested in cross-language comparisons. The complete database can be downloaded at the following address: https://osf.io/stnbk/

Purpose: The objective of this research is to investigate how brain-based learning (BBL) has been adopted in Indonesia and its influence on the overall learning experience. Design/Approach/Methods: This research employs a systematic literature review methodology, adhering to the Preferred Reporting Items for Systematic Review and Meta-Analyses guidelines and utilizing the Scopus and Google Scholar databases. Out of 2198 articles initially identified, only 101 met the predetermined criteria, leading to subsequent content analysis. Findings: The findings indicate: (1) an upward trend in research activity from 2013 to 2019 followed by a decline from 2020 to 2024; (2) predominance of quasi-experimental approaches; (3) the relevance of BBL across various educational levels; (4) a focus on mathematics and science in research endeavors; and (5) the positive impact of BBL on diverse learning facets. Originality/Value: This study provides valuable insights for stakeholders keen on advancing BBL research, exploring novel avenues across different methodologies, educational domains, and expertise areas. Such endeavors foster innovation in BBL research, underscoring its beneficial role in enhancing the educational landscape in Indonesia.

The research aims to analyse the most current (2015-2023) literature on STEM education to gain a deeper understanding of current trends, priorities and developments in the field of STEM education. Scientific studies determined within the scope of the study were examined using bibliometric and content analysis methods, which are among the systematic compilation methods. First, access to the WoS database was gained, and a subject-based search was conducted using the keywords "STEM education" and "Meta-analysis." In this context, 38 scientific studies containing these relevant keywords were found in the search. The collected data were initially analyzed on the basis of descriptive attributes in the WoS. Subsequently, the listed publications were analyzed using the bibliometric analysis tool VOSviewer for bibliographic attributes, including citation counts, co-citation, co-authorship, cooccurrence, and bibliographic coupling analysis types, based on authors, institutions, and countries. Finally, 18 articles from these scientific publications were evaluated through content analysis in terms of various characteristics of following the PRISMA flowchart. The most prominent keywords associated with the examined concepts included technology-related terms like "computer-based learning," "digital game-based learning," "academic achievement," "active learning," and "problem-centered instruction." Furthermore, the general focus of scientific studies appears to be on determining the impact of a STEM education method on student performance.