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This study aims to look at research trends on inquiry and socioscientific in the last 2 decades from 2004 to 2023. The PRISMA method is a reference in determining inclusion and exclusion criteria, as many as 449 articles were synthesized using bibliometric analysis. The result synthesis refers to the distribution of articles per year, research themes, affiliations, countries, authors, and productive journals. The inquiry and socioscientific research trends will peak in 2022, affiliated with the University of Wisconsin-Madison and the University of Southampton. Productive country United states and United Kingdom. Best author Laursen S. and Zeidler D.L. Productive journal CBE Life Science Education from United Kingdom and International Journal of Science Education from United States.

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.

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]