Search Results (5,135)

Previous studies have explored the factors influencing entrepreneurial intentions (EIs), primarily focusing on personality traits and various psychological aspects. This study, however, investigates external factors, such as entrepreneurship education programs (EEPs), cognitive motivational factors associated with the Theory of Planned Behavior (TPB), and the impact of business incubation centers (BICs), as moderators of EIs. The research involved 458 respondents from diverse higher education institutions in Asia. Our findings indicate that EEPs and BICs at universities positively and significantly affect students’ EIs. Additionally, the cognitive factors linked to TPB demonstrate a positive and significant direct effect on EIs while also acting as mediators between EEPs and EIs. These findings underscore the importance of adopting a multilevel perspective in designing and implementing EEPs and BICs to better comprehend the determinants of EIs. Our study provides valuable insights for university administrators, policymakers, and entrepreneurship instructors in developing countries to improve the university entrepreneurial ecosystem by creating cohesive programs and supportive institutions. Moreover, the results can serve as encouragement for individuals embarking on an entrepreneurial journey. Full article

The expansion of English medium instruction (EMI) in higher education has generated significant scholarly interest, resulting in an increasing body of research across different contexts. This bibliometric study examines 1522 publications in the Scopus database to explore the intellectual, conceptual, and social structure of the EMI literature in higher education. Findings revealed substantial growth in publications and citations between 1974 and 2024, showing a notable increase in productivity after 2018. Most cited authors focus on EMI within their affiliated country, but some affiliated with British universities have made global contributions. The field exhibits global coverage, albeit with strong dominance by China, Spain, the UK, Australia, and Hong Kong, as well as limited representation from African nations, barring South Africa. EMI networks are primarily driven by authors’ current and past institutional affiliations as well as geographical proximity, with the UK, Spain, and China emerging as leaders in these networks. The most productive journals focus on multilingualism, bilingualism, language policy, teaching, and learning while also encompassing higher education and multidisciplinary areas. Key topics signal a shift towards translanguaging and classroom interaction. Under-researched areas include (post)colonialism and EMI implementation. These findings provide a comprehensive insight into the evolving landscape of EMI research and potential future directions. Full article

Research on the effect of student work on academic achievement has produced inconsistent results, and Hungarian domestic research on the subject is scarce. Our research aims to contribute to the discussion. We hypothesize that student work has a beneficial effect on students’ academic achievement. The target group is the full-time, working students at the regional Hungarian university (n = 538). By clustering students based on three variables (motivation, alignment of work with studies, and working hours), we separated three distinct student groups: disadvantaged/income-oriented, ambitious, and utilitarian/leisure-oriented. Disadvantaged/income-oriented students work for financial reasons and work a large number of hours. Ambitious students work fewer hours, and they work to fulfil their professional aspirations. The utilitarian/leisure-oriented cluster is the only group whose members work because it is a useful way of spending leisure time as well as an opportunity to obtain money for other free-time activities. With the help of the achievement index, we detected further differences between the student clusters. Students in the disadvantaged/income-oriented cluster do not have high academic scores and do not take part in extracurricular activities. They are more likely to interrupt their studies, mainly for financial reasons and because of work. The achievement was not affected by students’ social status indicators such as parents’ educational attainment or labor market position; it is contact with faculty and performing work related to studies that have the most explanatory power. Full article

This quasi-experimental study investigated the impact of computational learning activities on high school students’ computational thinking (CT) and computational modeling (CM) skills. High school students (n = 90) aged 16 to 19 engaged in activities using computer models versus textbook-based models in mathematics and social science. The results indicated that students using computer models showed significant improvements in CT and CM skills compared to their peers in conventional learning settings. However, a potential ceiling effect in the CT assessments suggests that the test may not fully capture the extent of skill development. These findings highlight the importance of integrating computational learning activities in education, as they enhance students’ abilities to apply these skills beyond the classroom. Full article

As the Latinx student population grows in the United States, more public research-intensive institutions are becoming Hispanic-Serving Research Institutions (HSRIs). This exploratory qualitative study examines the experiences of Latinx students at an HSRI, particularly in STEM fields where they face underrepresentation and are pushed out. The objectives for this study were two-fold: (1) investigate the institutional factors contributing to Latinx student pushout in STEM at an HSRI and (2) develop recommendations for enhancing Latinx student retention in STEM at HSRIs. Through an investigation at a public four-year HSRI in California, three key themes emerged regarding institutional factors contributing to STEM pushout: (1) a disconnect in theory-based STEM courses, (2) unsupportive and busy research-focused environments, and (3) the psychological toll of a stripped STEM identity. The authors offer recommendations for targeted interventions to genuinely “serve” Latinx students in STEM fields at HSRIs. Full article

This article traces the developmental trajectory of a Mandarin-English bilingual child’s acquisition of wh-questions from China to Australia between the ages of 3;04 and 5;05. There is an assumption that age 3 is the dividing line between Bilingual First Language Acquisition (BFLA) and Early Second Language Acquisition (ESLA). Determining the similarities and differences between them is of great theoretical and methodological significance. While BFLA studies show consistent results under conditions of adequate input and meaningful interaction, ESLA studies indicate that these children develop their early English skills differently from BFLA children. Previous studies mainly focused on young children’s English development in English-speaking countries without prior English input. However, an increasing number of children migrate to English-speaking countries after age 1 with limited English input. This study examines whether there is a qualitative difference between BFLA and ESLA children’s bilingual wh-questions. Drawing upon the naturalistic data before and after the child’s migration from China to Australia and CLAN analysis, our 25-month longitudinal case study indicates that the ESLA child’s bilingual wh-question developmental trajectories are qualitatively similar to, but quantitatively different from the child’s Mandarin-English BFLA peers. This study could be the first to investigate a bilingual child who acquires two languages and experiences a change of environmental language (Lε), contributing theoretically and practically to early childhood bilingualism. Full article

This study investigates the mediating role of intellectual curiosity (IC) in the relationship between teacher–student relationship quality (TSR) and science achievement among Emirati early adolescents. The objectives were to assess TSR’s predictive power on science achievement, evaluate IC’s impact on science achievement, examine the combined effect of TSR and IC, and investigate IC’s mediating role. Data from 17,475 valid cases in the PISA dataset were analyzed using Jeremy Hayes’ PROCESS macro, multiple regression models, and bootstrapping with 5000 resamples. The results indicated that TSR significantly and directly affects IC, which in turn positively influences science achievement. TSR’s direct effects on science achievement varied across cases, but IC consistently showed strong positive effects on science achievement, underscoring its critical role as a predictor of academic success. IC was found to significantly mediate the relationship between TSR and student performance. The findings suggest that enhancing both TSR and IC is essential for student success in science. The study’s implications for educational practices and policies include developing teacher training programs focused on building strong relationships with students and fostering intellectual curiosity through questioning and problem-solving. Specifically, educators should focus on skills and strategies for interacting with students, showing empathy, and forming strong relationships. Implementing ongoing practices that emphasize the intellectual aspects of learning can help students build curiosity, thereby improving their academic performance. The study provides valuable insights into the interactions between TSR and IC and their impact on students’ academic outcomes. Full article

To support the integration of AI in education, this empirical study investigated what lessons college students learned from using Generative AI for writing. We recruited 47 students in the United States from a university writing course. Students completed an assignment in which they used Generative AI tools (e.g., ChatGPT) to draft an application letter or personal statement. Data were collected using a survey of five open-ended questions about their writing process, what worked, what did not work, how to better write with AI, and general lessons learned. We applied thematic analysis and sentiment analysis methods to analyze students’ responses. Results show that (1) students went through multiple rounds of prompting; (2) students identified strengths of AI, such as connection to topic, template generation, and sentence quality; (3) the weaknesses of AI included general language, robotic tone and lacking emotion, lacking personal voice, and lacking critical thinking; (4) students wished to improve AI-generated writing by adding personal stories, connections to posting, feelings and thoughts, and deleting repetitive language; and (5) their overall attitudes toward AI tool were positive. We believe our findings can help relieve some concerns about cheating with AI. We also suggested strategies to regulate the use of AI. Full article

Based on social interdependence and social constructivism theories, the authors of this study examined the effects of a cooperative learning (CL) pedagogical model on the engagement and outcomes of undergraduate students in an Ethiopian university’s classrooms. We did this by using a quasi-experimental post-test control group design. The study participants included undergraduate students enrolled in the courses “Risk Management and Insurance” (n = 99) and “Foundation Engineering I” (n = 94). The control groups received regular lecture-based teaching, while the experimental group received CL instruction over two weeks in six to eight sessions. The results from the Management sample, which demonstrated that the CL intervention group reported significantly higher learning outcomes and more engagement than the control groups, are sufficient evidence for the study to validate the hypothesis. The effect sizes were moderate and ranged from 0.52 to 0.78 Cohen’s d. In the Engineering course, the results demonstrate the smallest difference between the mean scores reported by the CL group and those of the regular lecture group, with the CL group showing slightly higher student engagement and outcomes across the three categories assessed. The Engineering sample’s results, however, did not show any significant differences between the CL and control groups. This study provides evidence that course reform utilizing a CL pedagogical design could improve student engagement and learning outcomes as compared to the regular lecture-based method. By incorporating CL pedagogies, higher educators and institutions can create more engaging and effective learning environments for students. Full article

The primary goal of this research was to empirically identify and validate the factors influencing student engagement in a learning environment where AI-based chat tools, such as ChatGPT or other large language models (LLMs), are intensively integrated into the curriculum and teaching–learning process. Traditional educational theories provide a robust framework for understanding diverse dimensions of student engagement, but the integration of AI-based tools offers new personalized learning experiences, immediate feedback, and resource accessibility that necessitate a contemporary exploration of these foundational concepts. Exploratory Factor Analysis (EFA) was utilized to uncover the underlying factor structure within a large set of variables, and Confirmatory Factor Analysis (CFA) was employed to verify the factor structure identified by EFA. Four new factors have been identified: “Academic Self-Efficacy and Preparedness”, “Autonomy and Resource Utilization”, “Interest and Engagement”, and “Self-Regulation and Goal Setting.” Based on these factors, a new engagement measuring scale has been developed to comprehensively assess student engagement in AI-enhanced learning environments. Full article

This study delves into the problem-solving approaches of students who attend classes with traditional teaching methods in university physics education with innovative curriculum materials. This research, conducted with university physics and engineering students, focused on applying research-based curriculum materials in solving kinematic problems. The study analyzes the impact of student knowledge and the distinction between rote learning and scientific practices on conceptual understanding. Student responses are categorized based on the depth of knowledge demonstrated, the skill type utilized, and the degree to which responses indicate a logical progression. These, together with demographic data, are analyzed to determine any patterns. Findings reveal that students use intuitive and mathematical skills to solve a graphical question. However, students employ qualitative and mathematical skill types when they are required to design an experiment. Notably, gender disparity appears to influence the approach to graphical questions, but the design-based question shows no significant relationship between males and females. Gender was likely to contribute to knowledge and logical progression levels, but grades might not show a positive relationship with knowledge level. This study aims to contribute to developing physics education at the university level by highlighting the gap between innovative course materials and their enactment. Full article

The research examined how different profiles of emotional intelligence (attention, clarity, and emotional regulation) act as protective or risk factors against cyber-victimization, taking into account individual and behavioral variables such as gender, sexual orientation, self-esteem, social anxiety, Internet risk, and parental control among high school students (11–18 years). A simulated sample was used, which was derived from an experimental sample of 1908 subjects (50.7% girls). Statistical equivalence was ensured between the two samples, and a multilevel analysis was conducted using the emotional intelligence profiles as the grouping variable. The results showed that the variability in emotional intelligence profiles predicted 96.7% of the variability of cyber-victimization. Factors that increase this likelihood include excessive interpersonal attention and low emotional regulation, higher social anxiety, offline victimization, older age, high parental supervision, and low self-esteem. In addition, being male and heterosexual is associated with a lower risk of cyber-victimization than being female and non-heterosexual. In general, it is suggested that protective measures against cyber-victimization should warn about the risk of Internet use, avoid paternalistic behavior by adults, and reduce rumination or excessive attention to the opinions of others. Full article

Teacher educators struggle to balance heavy teaching loads, research, writing, and institutional service. This qualitative study uses institutional ethnography to question how college leadership understand the significance of academic scholarship in the professional lives of college-based teacher educators in Israel. Data from interviews with eight college position holders shed light on the working lives of college-based teacher educators and how they are positioned as researcher-writers in an institution where scholarship expectations are blurry. Findings reveal three themes: the importance of academic activity for institutional prosperity, the difficulties in academic scholarship experienced by teacher educators, and the support the institution provides to encourage and maintain academic activity. The discussion contemplates the tensions between institutional and individual teacher educator advancement. The complexity of the institutional structure deserves attention to achieve institutional aims and attend to individual faculty’s professional needs and desires. The implications of this study are significant for leadership in teacher education and higher education around the world, prompting leaders to rethink ways of supporting faculty involved in research and writing alongside teaching and additional roles. Balancing conflicting roles, providing clear expectations, and maintaining an ongoing dialogue between teacher educators and leadership regarding professional development needs can lead to institutional prosperity alongside individual professional advancement. Full article

This research project examines the experiences of four individuals working in refugee resettlement and their perspectives on the educational needs of refugee students, given their role as boundary spanners. They also discuss the need for teachers to encourage students to use the Funds of Knowledge in the classroom. Participants discuss their varied experience as professionals in refugee resettlement, with two being refugees and one being an immigrant. This paper (1) explores the stress associated with relocation, (2) delves into the mental health issues faced by individuals from refugee backgrounds, emphasizing trauma, (3) analyzes how inefficiencies and lack of support within the public school system contribute to a stressful and ineffective experience for all parties involved, and (4) highlights the importance of human connection. The implications for future research are also discussed with particular attention paid to the need to actively work with other stakeholders. Full article

This manuscript presents a comprehensive exploration of an innovative active learning approach implemented in a Master’s Degree in Construction Engineering program. The pedagogical intervention involved a series of competitive battles among student teams, wherein each team formulated and presented multiple-choice questions to their peers. The study aims to provide a detailed account of the implementation process, assess the effectiveness of this approach, and evaluate its impact on students’ learning and motivation. The assessment was conducted through triangulation of experiences, surveys, and interviews. The results provide key insights into how Team-Based Questioning Battles can foster highly competitive environments, enhancing the learning experience, understanding, and retention of concepts, all while motivating and engaging students. Full article