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The purpose of this research is to analyse the level of knowledge about the Sustainable Development Goals (SDGs) of pre-service teachers in Early Childhood and Primary School Education at the University of Valencia (Spain) and the origin of this knowledge over several academic years, as well as to compare it with that of students of the Degree in Environmental Sciences at the same university.

A questionnaire was designed, validated and administrated to 1,040 students of Degree in Early Childhood Education, Primary School Education and Environmental Science of the University of Valencia to analyse their knowledge of the SDGs and their evolution over three academic years (2019–20, 2020–21, 2021–22).

Statistical analysis shows that most of the participants are either unaware of the SDGs and their importance or have insufficient knowledge of the SDGs and their linkages.

The need to continue promoting teaching resources to favour the implementation of education for the SDG in initial teacher training is highlighted.

Pre-service teachers can become agents of change if they understand the magnitude and complexity of the socio-environmental crisis and get involved through their educational action in the required measures to advance in the construction of more sustainable societies.

This study aims to emphasize the necessary training and involvement of students of the Degree in Early Childhood Education, Primary School Education and Environmental Science at the University of Valencia to advance in the transition to Sustainability.

Curriculum supplementation by teachers is an agelong tradition, and the widespread use of the internet has increased the use of online resources in the classroom. This paper aims to explore preservice teachers’ views on multicultural science resources and make a case for the representation of the changing demographics of the American classroom in online resource development.

Using a qualitative interpretive approach, this study explored the perceptions of preservice teachers on their access to and use of online science resources through the conceptual lens of the pedagogical design capacity framework (Brown, 2009) and the first two principles of critical and cultural approaches to ambitious science teaching (C²AST) (Thompson et al., 2021).

Participants in this study have not accessed culturally relevant online science resources. They adapt the resources to meet the demographic needs of their class.

This study aims to support the need for content creators of online educational repositories to develop multicultural science resources.

This work not only gives a background to why preservice early childhood science teachers could not access multicultural online resources, but it also makes a case for integrating skills needed for teachers to create culturally relevant resources into teacher training programs.

The global COVID-19 epidemic has posed significant challenges to the development of innovation and entrepreneurship education in Chinese and foreign universities, and the application of artificial intelligence generated content (AIGC) technology has presented both opportunities and challenges to its development. The purpose of this study is to summarize advanced experiences and models of new engineering innovation and entrepreneurship education development in Chinese and foreign universities, as well as to analyze the influencing factors. Taking the sustainable development goals (SDGs) into account, this study qualitatively proposes enhancement paths and improvement suggestions based on the application of AIGC technology, providing a reference for promoting the sustainable development (SD) of innovation and entrepreneurship education in Chinese universities.

By using the qualitative comparative analysis (QCA), this paper studies the interaction mechanism between the influencing factors of innovation and entrepreneurship in universities under the background of SDGs. This paper selects 12 representative universities with different cultures and strengths. Meanwhile, this paper analyzes the content of 2,535 publications on innovation and entrepreneurship education and summarizes seven influencing factors as comparison criteria. Then, this paper codes, summarizes and uses configuration to assess the primary factors influencing the development of innovation and entrepreneurship in colleges and universities at home and abroad.

On the quality of new engineering innovation and entrepreneurship education, comprehensive, diverse influencing factors and upgrading paths are obtained. Furthermore, this research proposes that the SD of innovation and entrepreneurship education in universities should make effective use of “AI plus education” and actively construct practical and teaching platforms. Meanwhile, the ChatGPT is being used to strengthen the innovation and entrepreneurship curricular system and talent training mode. The research also makes recommendations for improving teachers’ ability to acquire intelligent tools and promotes three-way teaching modalities of “teacher-AI-student” by taking into account the influence of various aspects.

This research uses the QCA research method, which analyzes not only influencing factors on the SD of innovation and entrepreneurship education but also explores the interaction mechanisms among factors. Furthermore, the research incorporates SDGs and AIGC technology application scenarios into the field of domestic innovation and entrepreneurship education, which will be helpful in SDGs of innovation and entrepreneurship education on both theoretical and practical levels.

The purpose of this article is to debut a novel initiative that could potentially optimize resources that are currently constrained but, if unleashed, could help ameliorate the science, technology, engineering and mathematics teacher shortage. The initiative involves the reconceptualization of the National Network for Educational Renewal (NNER) tripartite model, which evolved from the work of Goodlad (1994a) and promotes cooperation and partnerships between the three important players responsible for preparing succeeding generations of competent teachers: PK-12 schools, university colleges of education and university colleges of arts and sciences (Roselle, Hands, Marino, Kilgallen, & Howard, 2021; Goodlad, 1994a).

The approach used in writing the article was narrative, offering a brief review of the various challenges that have had an impact on the national teacher shortage, particularly in the field of mathematics.

The study suggests that a reconceptualized NNER tripartite model can be implemented to assuage the devastating effects of the coronavirus disease 2019 pandemic on learning, offer support to an overworked teacher workforce and provide a possible math teacher recruitment pipeline by forming a life-giving partnership between a college of education, a college of arts and sciences, a local elementary school and undergraduate math club members.

This is an original application of the NNER tripartite model, particularly with math teacher recruitment in mind, and it is hoped that the model will be considered transferable to a variety of school-university contexts. However, additional study is required to explore the validity and replicability of this model.

Many studies have examined pre-diploma students' backgrounds and academic performance with results showing that some did not achieve the expected level of competence. This study aims to examine the relationship between students’ demographic characteristics and their academic achievement at the pre-diploma level using machine learning.

Secondary data analysis was used in this study, which involved collecting information about 1,052 pre-diploma students enrolled at Universiti Teknologi MARA (UiTM) Pahang Branch between 2017 and 2021. The research procedure was divided into two parts: data collecting and pre-processing, and building the machine learning algorithm, pre-training and testing.

Gender, family income, region and achievement in the national secondary school examination (Sijil Pelajaran Malaysia [SPM]) predict academic performance. Female students were 1.2 times more likely to succeed academically. Central region students performed better with a value of 1.26. M40-income students were more likely to excel with an odds ratio of 2.809. Students who excelled in SPM English and Mathematics had a better likelihood of succeeding in higher education.

This research was limited to pre-diploma students from UiTM Pahang Branch. For better generalizability of the results, future research should include pre-diploma students from other UiTM branches that offer this programme.

This study is expected to offer insights for policymakers, particularly, the Ministry of Higher Education, in developing a comprehensive policy to improve the tertiary education system by focusing on the fourth Sustainable Development Goal.

These pre-diploma students were found to originate mainly from low- or middle-income families; hence, the programme may help them acquire better jobs and improve their standard of living. Most students enrolling on the pre-diploma performed below excellent at the secondary school level and were therefore given the opportunity to continue studying at a higher level.

This predictive model contributes to guidelines on the minimum requirements for pre-diploma students to gain admission into higher education institutions by ensuring the efficient distribution of resources and equal access to higher education among all communities.

The purpose of this study is to provide a comprehensive analysis of scientific knowledge in educational research over the past decade. The analysis aims to identify contributions to the field of education and trends in the literature.

Bibliometric analysis was conducted on 117,870 publications from 335 education journals in the Scopus database between 2013 and 2022.

This study shows educational research has increased consistently over the past decade. The USA showed high productivity, while the Netherlands produced the most impactful publications. The USA, UK and Australia have the highest research collaboration. Country collaboration network is divided into two blocks, comprising Western and Eastern countries, with the USA and the UK acting as bridges between these country groups. The bibliographic coupling analysis revealed that educational research is categorized into 11 clusters. Recent educational research aims to address the challenges in education, adapt to the changing technological, economic and social landscape and capitalize on emerging opportunities.

This study analysed over 100 thousand publications to identify the latest trends in educational research and highlight current developments in the field.

This study aims to delve into the perspectives of educators on integrating ChatGPT, an AI language model into management education. In the current research, educators were asked to talk as widely as possible about the perceived benefits, limitations of ChatGPT in management education and strategies to improve ChatGPT for management education. Also, shedding light on what motivates or inhibits them to use ChatGPT in management education in the Indian context.

Interpretative phenomenological analysis commonly uses purposive sampling. In this research, the purpose is to delve into educators’ perspectives on ChatGPT in management education. The data was collected from the universities offering management education in Uttarakhand, India. The final sample size for the study was constrained to 57 educators, reflecting the point of theoretical saturation in data collection.

The present study involved educators discussing the various advantages of using ChatGPT in the context of management education. When educators were interviewed, their responses were categorized into nine distinct sub-themes related to the benefits of ChatGPT in management education. Similarly, when educators were asked to provide their insights on the limitations of using ChatGPT in management education, their responses were grouped into six sub-themes that emerged during the interviews. Furthermore, in the process of interviewing educators about potential strategies to enhance ChatGPT for management education, their feedback was organized into seven sub-themes, reflecting the various approaches suggested by the educators.

In the qualitative study, perceptions and experiences of educators at a certain period are captured. It would be necessary to conduct longitudinal research to comprehend how perceptions and experiences might change over time. The study’s exclusive focus on management education may not adequately reflect the experiences and viewpoints of educators in another discipline. The findings may not be generalizable and applicable to other educational disciplines.

The research has helped in identifying the strengths and limitations of ChatGPT as perceived by educators for management education. Understanding educators’ perceptions and experiences with ChatGPT provided valuable insight into how the tool is being used in real-world educational settings. These insights can guide higher education institutions, policymakers and ChatGPT service providers in refining and improving the ChatGPT tool to better align with the specific needs of management educators.

Amid the rising interest in ChatGPT’s educational applications, a research gap exists in exploring educators’ perspectives on AI tools like ChatGPT. While some studies have addressed its role in fields like medical, engineering, legal education and natural sciences, the context of management education remains underexplored. This study focuses on educators’ experiences with ChatGPT in transforming management education, aiming to reveal its benefits, limitations and factors influencing adoption. As research in this area is limited, educators’ insights can guide higher education institutions, ChatGPT providers and policymakers in effectively implementing ChatGPT in Indian management education.

This study aims to report the quality of Bangladesh's science and technology universities (STUs) in ensuring sustainable employment of graduates during the Fourth Industrial Revolution (4IR) by assessing their vigilance in skill development activities and exploring students’ perspectives on the university.

This research used mixed methods: a close-ended five-point Likert scale questionnaire to understand students’ perspectives and a thematic analysis of the interviews of students, faculties, policymakers and relevant stakeholders. The data was collected through a random sampling method where 1,000 university students took part in the quantitative analysis along with other respondents for the qualitative portion. The analysis was done with a 99% confidence level and a 4.5% margin of error.

Bangladesh's STUs still have a long way to go to ensure quality education and generate sustainable employment for their graduates. The universities' preparation to comprehend the 4IR is not at the expected level. In addition, despite students' favourable perception of universities as providers of qualified labour, there is a significant mismatch between supply and demand.

This research has some limitations regarding time and resources. Due to the limited number of responses from a few universities, this study's findings might only apply to some of the STUs of other countries. This study provided several recommendations for providing quality education to the STUs of Bangladesh.

The findings of this study indicate that there is still a crucial gap between the initiatives of STUs and the employment market, which prevents graduates from offering the necessary skills to achieve sustainable employment. The findings also support the idea of significant changes in the approach of these universities to address the mentioned issues.

This study suggests collaboration among social actors, relevant stakeholders, STU authorities, education experts and government officials to ensure a demand-based curriculum for the students. The relevant stakeholders should come forward to ensure advanced technologies and internet connectivity in the STUs.

The data set used in this study is significantly large and varies in the number of institutions, departments and socioeconomic backgrounds of the students, faculties, policymakers and various stakeholders. Furthermore, the capacity of scientific and technology institutions to guarantee sustainable employment through quality assurance in education has also not been recently evaluated in Bangladesh.

Entrepreneurial activities significantly contribute to economic growth and job creation, making entrepreneurship an attractive career path. While students’ entrepreneurial intentions in traditional fields like economics, business and engineering have been widely studied, less attention has been given to nontraditional fields, especially in emerging economies. This study aims to address this gap by exploring the entrepreneurial intentions of health sciences students in Colombian universities, a context marked by unique socioeconomic and cultural factors.

The study surveyed 202 students across three colleges. Confirmatory factor analysis and structural equation modeling were used to validate the theorized relationships and analyze the data.

Preliminary findings indicate a positive correlation between personal attitudes and educational support with entrepreneurial intentions among health science students. Contrary to expectations, the influence of family roles and broader sociocultural contexts appeared less significant, suggesting a distinct pattern within this field.

This paper presents a detailed study of the factors influencing the entrepreneurial intention of health sciences students in higher education. It provides theoretical and practical insights, contributing to the existing literature on entrepreneurial intention. The findings can be used by institutions to develop targeted training programs tailored to students’ specific needs.

In November 2022, the commercial company, OpenAI, launched ChatGPT. Since then, university students have rapidly become regular users of this artificial intelligence (AI) platform. One reason for this is the powerful capability of this generative AI tool to produce textual content, which in many cases, is almost indistinguishable from human-generated content. Another reason is that ChatGPT easily gives anyone access to knowledge. However, there is a problem as the vast majority of its users have no idea how this AI platform works and thus overlook the importance of thinking critically about information communicated in ChatGPT. While some call for banning this generative AI tool, this study aims to provide evidence that science classrooms can become scenarios where students find explicit, concrete, and realistic opportunities to critically evaluate scientific information generated by ChatGPT.

An intervention study was conducted with 55 students (26 females and 29 males, 17–24 years old) during a university Spanish-English bilingual science course taught within an active learning environment. The data consist of the written critiques of the students about Spanish-English bilingual scientific texts produced by ChatGPT.

Results indicate that the intervention had a positive effect on students’ abilities to construct sound arguments in Spanish and in English while judging the quality of scientific texts produced by this AI bot. Moreover, the findings suggest that the intervention enriched students’ skills to make improvements to texts produced by this generative AI tool.

The evidence provided in this study contributes to the exploration of possibilities to help students become critical users of ChatGPT.