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ChatGPT has become a prominent tool for fostering personalized and interactive learning with the advancements in AI technology. This study analyzes 212 academic research articles indexed in the Scopus database as of July 2023. It maps the trajectory of educational studies on ChatGPT, identifying primary themes, influential authors, and contributing institutions. By employing bibliometric indicators and network analysis, the study explores collaboration patterns, citation trends, and the evolution of research interests. The findings show the exponential growth of interest in leveraging ChatGPT for educational purposes and provide insights into the specific educational domains and contexts that have garnered the most attention. Furthermore, the study reveals the collaborative dynamics and intellectual foundations shaping the field by examining co-authorship and citation networks. This bibliometric analysis contributes to a comprehensive understanding of the current state of ChatGPT research in education, offering researchers and practitioners valuable insights into evolving trends and potential future directions for this innovative aspect of AI and learning.

Background: Mentorship is critical to success in postgraduate science, technology, engineering, math, and medicine (STEMM) settings. As such, the purpose of this study is to comprehensively explore the state of mentorship interventions in postgraduate STEMM settings to identify novel practices and future research directions. The selection criteria for reviewed articles included: (1) published between 2002 and 2022, (2) peer-reviewed, (3) in English, (4) postgraduate mentees, (5) a program where mentorship is a significant, explicit focus, and (6) a description of mentee outcomes related to the mentorship intervention. Overall, 2583 articles were screened, and 109 articles were reviewed. Results: Most postgraduate STEMM mentorship intervention studies lack strong evidence to evaluate the effectiveness of the intervention, with only 5.5% of articles designed as randomized controlled trials. Most mentorship interventions (45.6%) were created for faculty, and few (4%) were for postdoctoral researchers. Also, only 18.8% of interventions focused on underrepresented groups in STEMM. Most interventions (53.7%) prescribed a dyadic structure, and there was more mentorship training for mentors than mentees. Conclusion: Overall, these findings identify gaps in mentorship interventions and provide step-by-step guidance for future interventions, including a consideration for underrepresented groups and postdoctoral scholars, robust mentorship training, and more randomized controlled trials.

In this article, we discuss the significance of English in the internationalization of higher education and international student mobility, using Kachru's (1985) Three Circles Model of World English. As education is one of the major forms of migration (Liu-Farrer, 2022; Borlongan, 2023) in the so-called 'age of migration' (cf. de Haas, Castles, & Miller, 2020), more and more students are motivated to study abroad to complete their tertiary education. First, we discuss motivating factors both for the internationalization of higher education and international student mobility. Second, we point out how English has been playing a very central role in the internationalization of higher education institutions and international student mobility (Philipson, 2010; Jenkins, 2017) among these factors. Then, we present the dynamics of international student mobility by looking at their global flow, English-medium programs, and English language proficiency requirements. While Inner Circle countries are still the most attractive destinations for most international students, Expanding Circle countries, where English is not an institutionalized medium of instruction in higher education, also value English by expanding English-medium degree programs and requiring English proficiency test scores to admission. Finally, we end the article by reiterating the dominance and utility of English in the internationalization of higher education and international student mobility and its stable position as the language of educational migration.

Since social media is increasingly pervasive in modern society, this bibliometric study aims to investigate its educational applications. Using the Scopus database, the bibliometric method analyses publications published between 2010 and 2022. The research indicates that student participation and ease of access are the two main benefits of using social media in the classroom. However, it also spreads misinformation and poses privacy and security risks. Articles that discussed how social media could be used in the classroom were found and organised using a bibliometric analysis based on their subject matter, year of publication, and authors. The research shows that between 2001 and 2020, there was a rise in the number of papers discussing the use of social media in the classroom. In addition, the top five countries in terms of annual publication output include the United States, the United Kingdom, Australia/India, and Canada. To further explore the connections between relevant articles, a co-citation network analysis was performed. Therefore, there must be strict rules and policies for using social media in education to address privacy and security concerns and the spread of false information.

This study uses an education in emergencies (EiE) lens and a scientometric approach to examine the educational research landscape during the COVID-19 pandemic by analyzing 95,628 publications indexed in the Web of Science Core Collection database from 2020 to February 2023. It employed descriptive and network approaches to map growth trajectory, productivity, social structure, conceptual structure, and research methodologies used in the retrieved sources. The findings reveal a steady increase in publications on education and COVID-19 since the onset of the pandemic. However, the majority of productive countries and institutions are in the Global North, with limited representation from the Global South, except for China. English is the dominant language in publications, and funding agencies from English-speaking countries are the most active. The most frequently occurring keywords revolve around performativity, institutions, teaching methodologies, attitudes, and experiences, while keywords related to social justice are a peripheral focus. Publications mainly focus on technical and methodological aspects of education, such as online teaching and learning. Most productive journals represent a mix of foci and are not limited to distance learning. The extracted literature showcases diversity in research methodologies used. Future studies should use systematic reviews on narrow topics to evaluate the effects of the pandemic, inform decision-making, enhance education system resilience, and envision a more equitable education system. The study's contributions are notable for its unique EiE perspective, comprehensive scope, extensive data extraction, and meticulous examination of research design, effectively addressing limitations in bibliometric software.

For over two decades now, the application of Citizen Science to Education has been evolving, and fundamental topics, such as the drivers of motivation to participate in Citizen Science projects, are still under discussion. Some recent developments, though, like the use of Artificial Intelligence to support data collection and validation, seem to point to a clear-cut divergence from the mainstream research path. The objective of this paper is to summarise the development trajectory of research on Citizen Science in Education so far, and then shed light on its future development, to help researchers direct their efforts towards the most promising open questions in this field. We achieved these objectives by using the lens of the Affordance-Actualisation theory and the Main Path Analysis method.

It is important that software testing courses at universities provide students with testing skills that are close to the skills needed by industry. To investigate if these courses do accomplish this role, this research provides comparison and empirical analysis of the topics provided by 80 software testing courses in nine countries around the world and the skills that are required by 400 software testing related job advertisements in the same investigated countries. Based on this analysis, the research provides a taxonomy of the testing topics by universities and the needed skills by industry. The main knowledge gaps between testing courses and job ads are explained in detail. The results revealed that the testing techniques with huge gap with industry are load testing, regression testing, performance testing, functional testing, penetration testing, accessibility testing, exploratory testing and compatibility testing. The gaps in other areas of testing are also specified by the research. Providing data analysis of the required testing skills by industry and comparing these skills with the topics of testing courses will help universities to modify the topics and learning outcomes of these courses to make them closer to industrial needs.

The increasing rate of publications on emotional intelligence, especially regarding student learning, underscores the need to study research trends in this domain. This research utilizes bibliometric and science mapping analyses to generate an overview of research on emotional intelligence in education, using data sourced from SCOPUS. The terms "emotional intelligence," "teaching," and "education" were used as keywords for data search and retrieval. Data were analysed using various bibliometric indicators such as the number of publications, citations, collaborations, co-citation, and keywords. While descriptive statistics were used to analyse bibliometric indicators, bibliometric network analyses using VOSviewer were carried out for science mapping analyses. The findings indicate that while publication counts surged between 2012 and 2021, average citations remained constant. Despite Western predominance, Asia significantly contributed to research output. Notable collaboration was seen among Asian, Balkan, and European nations, but limited among individual authors. The keyword analysis informed major themes such as leadership skills, training, medical education, entrepreneurship, personality, special needs, and psychosocial aspects. Summarily, emotional intelligence in education has emerged as a globally acknowledged research area, and this work elucidates its thematic knowledge, offering insights for prospective researchers.

Dynamic face stimuli are increasingly used in face perception research, as increasing evidence shows they are perceived differently from static photographs. One popular method for creating dynamic faces is the dynamic morph, which can animate the transition between expressions by blending two photographs together. Although morphs offer increased experimental control, their unnatural motion differs from the biological facial motion captured in video recordings. This study aimed to compare ratings of emotion intensity and genuineness in video recordings, dynamic morphs, and static photographs of happy, sad, fearful, and angry expressions. We found that video recordings were perceived to have greater emotional intensity than dynamic morphs, and video recordings of happy expressions were perceived as more genuine compared to happy dynamic morphs. Unexpectedly, static photographs and video recordings had similar ratings for genuineness and intensity. Overall, these results suggest that dynamic morphs may be an inappropriate substitute for video recordings, as they may elicit misleading dynamic effects. [ABSTRACT FROM AUTHOR]