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Purpose – The aim of this study is to determine the effects of inquiry instruction incorporating with STEM learning on Chemistry Education of Malikussaleh University students’ science process skills and science attitudes.

Design/Methodology/Approach – The pre-experimental design, which is a mixed method approach is used in the study that included a pretest-posttest one group model and descriptive quantitative.

Findings – As a result of data analysis that STEM learning significantly enhances students’ science process skills and attitudes toward inquiry instruction. This study examines how participation in a semester long inquiry-based STEM learning project that involves interdisciplinary skills, sociological research on attitudes, and behaviors enhances the scientific and quantitative literacies of STEM students.

Research Limitations/Implications – Quantitative research is needed to determine the more common effects of learning outcomes. However, this study only determines a self-assessment on science attitudes. The other one is a limitation on the participants and reviewing aspects of learning with more variables in order to obtain more optimal results.

Practical Implications – The results of this study have practical implications in terms of hands-on activities. The learning model can be used to explain the concept of multidisciplinary studies and particularly to students and their parents. It will be a useful model for lecturers, personal tutors, and any other practitioners involved in hands-on activities.

Originality/Value – This paper innovative at a conceptual level of education development for students, graduates, and it is very simple descriptive papers. It will be of value to anybody with an interest in education competitiveness issues.

The narrow purpose of this article is to review de Fremery’s (2024) book about the bibliographic foundations of information science. The broader purpose is to consider the actual as well as the potential relevance of the field(s) of bibliography for information science besides the book under review.

This review essay examines the arguments put forward by de Fremery (2024), introduces concepts and traditional lore from the study of bibliography and presents internal conflicts or paradigms in the field of bibliography. It relates this information to foundational issues in information science.

De Fremery’s basic ambition of basing information science in the field of bibliography is important, and so is the attempt to consider bibliography in relation to contemporary information technologies such as machine learning and data science. The book under review fails, however, to describe the relations between different positions in bibliography, such as enumerative, analytical, descriptive, critical and historical bibliography in relation to information science. It rather tends to make problematic claims, for example, that scientific experiments are based on bibliographical methods, and to describe the relation of bibliography to information science on the basis of such interpretations. Nonetheless, the book is a serious attempt to consider the field of bibliography and thereby support the focus on documents in information science.

Information science often suffers because of ambiguities in the concept of information. When information science is understood as the study of literature-based answering, much else falls into place. The field of bibliography is a core concept for this understanding and re-orientation of information science, for example, by establishing the core relation between bibliography, information searching and knowledge organization.

In 1976, in a speech at Ruskin College, Oxford, Prime Minister James Callaghan asked ‘Why is it that such a high proportion of girls abandon science before leaving school?’ (Gillard, 2018). Little has changed over the last 40 years; a recent report from the National Audit Office (2018, p. 28) stated that only 8% of science, technology, engineering and mathematics (STEM) apprenticeships were taken up by women in 2016/2017 and that the shortage of STEM skills in the workforce is a key UK economic problem. However, just as the Aldridge marriage has been the source of considerable interest and the site of significant financial investment in terms of designer kitchens and expensive holidays, so has the issue of ‘girls in science’ been a consistently debated topic and taken up a large chunk of government and industry spending. Research (Archer et al., 2013) suggests that although children enjoy their science experiences in school, too few pupils aspire to a STEM career. It reveals that the pupils most likely to aspire to careers in science are those whose families have high ‘science capital’ which ‘refers to the science-related qualifications, understanding, knowledge (about science and “how it works”), interest and social contacts (e.g. “knowing someone who works in a science-related job”)’ (Archer et al., 2016, p. 3).

Episodes of The Archers are full of scientific talk, from herbal leys to plate meters. This chapter looks at how the science capital in Ambridge is shared. Why is Alice Carter an engineer and not Emma Grundy? Will Kiera Grundy choose physics A level? Who are the female STEM role models? How can the concept of science capital help us to understand the career paths of Ambridge residents? Will the young girls of Ambridge remedy the gender imbalance in STEM careers?

The Computing Research Association (CRA) was formed in 1972 as the Computer Science Board (CSB), which provided a forum for the chairs of Ph.D.-granting computer science departments to discuss issues and share information (CRA, 2009). Since 1989, women have never accounted for more than 24% of the computer science faculty at any given rank (e.g., assistant, associate, or full professor). Currently, women represent 21.7%, 15.4%, and 11.7% of computer science faculty at the assistant, associate, and full professor ranks, respectively. Women have been as much as 24% of the Ph.D. graduates in computing in a single year. Since 1998, African Americans have never accounted for more than 2.0%, 1.4%, and 0.7% of the assistant, associate, and full professors, respectively, in computer science. Furthermore, African Americans have never accounted for more than 2% of the Ph.D. graduates in computer science in a single year over that same time period. It appears women and African Americans overall are underrepresented among the ranks of computer science faculty, but to what extent?

This study aims to analyze the adoption of open access (OA) publishing in social sciences within central universities in India, focusing on various aspects such as the growth of OA literature, the use of different OA routes and collaboration patterns in OA publications.

Ten central universities were selected based on their rankings in the National Institute Ranking Framework 2022. Data on OA publishing in social sciences were collected from the Social Science Citation Index of the Web of Science (WoS) database using the advanced search query “(CU=India OR AD=India) AND PY=(2003–2022) NOT PY=(2023).” Data analysis was conducted using MS Excel (v16.0), BibExcel (version 2017), Biblioshiny (version 4.1.2) and Google Open Refine (version 3.7).

The study found that 30.40% of total publications were OA, with BHU as leading institute in OA publishing. OA publishing in social sciences saw a consistent increase, peaking in 2022 with 209 publications. “Sustainability” and “Plos One” were among the top ten journals, with 103 and 34 OA papers, respectively. OA publications had a higher mean citation rate than closed access publications. Collaboration with seven and nine authors had higher mean citation rates, while six-author collaborations were lower. Indian researchers received the most citations collaborating with the USA, UK and Australia. The Netherlands and Saudi Arabia received the fewer citations, when collaborating with Indian authors.

The study’s main limitation is its reliance on WoS data, excluding many OA publications from smaller or specialized journals. Additionally, the focus on high-ranked central universities may not represent the entire academic landscape, as OA publishing patterns vary across other institutions and disciplines.

The study’s findings suggest that advancing OA publishing in social sciences at Indian universities requires raising awareness of OA concepts, enhancing institutional support and policies and informing researchers about funding opportunities. Emphasizing Gold OA and funding publication fees can broaden access to research. Universities with low OA ratios should adopt similar policies, mandate public research deposits and develop technical infrastructure. Encouraging multi-author collaborations can boost research impact and citation rates. Insights from the study can help institutions and policymakers shape effective OA strategies, enhancing the visibility and impact of social science research.

This is the first study analyzing the adoption of OA in the field of social sciences in high-ranked central universities in India. It has implications for promoting OA and increasing accessibility to research outputs. Universities with higher OA ratios can lead in this regard and encourage others to adopt similar practices for overall OA growth.

There is a need for precollege learning designs that empower youth to be epistemic agents in contexts that intersect burgeoning areas of computing, big data and social media. The purpose of this study is to explore how “sandbox” or open-inquiry data science with social media supports learning.

This paper offers vignettes from an illustrative youth study case that highlights the pedagogical prospects and obstacles tied to designing for open-ended inquiry with computational data science to access or “scrape” Twitter/X. The youth case showcases how social media can be taken up productively and in ways that facilitate epistemological agency, an approach where individuals actively shape understanding and knowledge-creation processes, highlighting the potentially transformative impact this approach might have in empowering learners to engage productively.

The authors identify three key affordances for learning that emerged from the illustrative case: (1) flexible opportunities for content-specific domain mastery, (2) situated inquiry that embodies next-generation science practices and (3) embedded computational skill development. The authors discuss these findings in relation to contemporary education needs to broaden participation in data science and computing.

To address challenges in current data science education associated with supporting sustained and productive engagement in computing-based data science, the authors leverage a “sandbox” approach – an original pedagogical framework to support open inquiry with precollege groups. The authors demonstrate how “big data” drawn from social media with high school-aged youth supports learning designs and outcomes by emphasizing learner interests and authentic practice.