Search Results (301)

The present exploratory study investigates how pre-primary and primary student teachers (STs) at the Universidad Autónoma de Madrid (UAM) perceive the impact of bilingual education programs (BEPs) on children’s learning experience. Specifically, it examines student teachers’ views on the benefits and challenges of implementing Content and Language Integrated Learning (CLIL) in pre-primary and primary education and explores whether there are differences between the opinions of the two groups. The analysis is based on data from six items of a structured questionnaire, validated in previous studies and completed by 170 prospective pre-primary and primary teachers at the UAM. The results suggest a shared perception among STs that BEPs enrich the learning experience of students in both pre-primary and primary education. Most STs recognize that CLIL enhances language proficiency and supports cognitive development, although they also point to insufficient teacher training and the low motivation of children with learning difficulties as major challenges. While no major differences emerged between the views of pre-primary and primary STs, subtle variations point to the existence of two distinct trainee profiles that determine their views on BEPs and that would require further mid-term investigation. The findings highlight areas for targeted support in teacher training programs. Full article

The acceptance of, perceived advantages to, and skepticism toward the integration of artificial intelligence (AI) in undergraduate education is investigated in this paper. In this study, a total of 675 students from six Romanian universities answered a self-administered online questionnaire evaluating three main aspects: AI acceptance, AI benefits, and AI skepticism. While AI skepticism has a modest but substantial negative influence (β = −0.113, p = 0.001), results show that AI benefits favorably predict AI acceptance (β = 0.541, p = 0.001). Whereas AI skepticism negatively correlates with AI acceptance (r = −0.124, p = 0.001), correlational analysis reveals a high positive association between AI acceptance and AI benefits (r = 0.544, p = 0.001). Despite concerns about its limitations, the regression model suggests that students’ willingness to embrace AI in education is mostly driven by its perceived advantages. This explains 30.8% of the variance in AI acceptance (R² = 0.308, F(2, 641) = 142.909, p < 0.001). These results highlight the importance of techniques that improve perceived benefits while addressing uncertainty since they offer insightful analysis of student attitudes regarding artificial intelligence integration in higher education. By guiding policy decisions and educational activities meant to maximize AI-driven learning environments, this study adds to the current conversation on artificial intelligence adoption in education. Full article

Little attention has been paid to whether an instructor’s hand-pointing gestures or use of a mouse-guided arrow can mitigate the attentional loss caused by an instructor’s happy facial expressions or can enhance the social benefits of these expressions in instructional videos. The goal of the present study is to determine whether social cues in an instructional video affect learning processes and outcomes. The participants were 57 female students from a university. We employed a 2 × 2 mixed experimental design. The instructor’s facial expression was a within-subject variable, while the type of pointing cue was a between-subject variable. Students who had the smiling instructor rather than the bored instructor gave higher ratings of the perceived positive emotion of the instructor, felt more positive emotion, and had more motivation to learn. Eye-tracking technology showed that students who learned with the smiling instructor spent more time looking at the content on the slides than those who learned with a bored instructor. Students who learned with the smiling instructor scored higher on a learning outcome post-test than those who learned with the bored instructor. Among female Chinese students, this pattern is consistent with the five steps posited by the positivity principle, which concludes that people learn better from instructors who exhibit positive social cues. Pointing with a human hand was not superior to pointing with an arrow, suggesting that in this case hand-pointing was not a strong social cue and did not moderate the effects of facial expression. Given the exclusively female sample, future research should examine whether these effects generalize across genders. Full article

Previous studies on innovative courses have found that information on the elements of sustainable tourism is still lacking. To fill this research gap, this study examined the concept of sustainable tourism by focusing on two innovative courses titled “Seminar on Sustainable Tourism” and “Management and administration of Ecotourism”. Thirteen graduate students taking one of these courses were recruited as respondents for this study. The Zaltman metaphor elicitation technique (ZMET) was used to analyze photographs taken by the respondents and illustrate how graduate school students perceive sustainable tourism. The ZMET surveys were conducted in the 3rd week and 9th week and between the 17th and 18th weeks to represent the first and second semester, respectively. The results of the analysis illustrated that sustainable tourism involves constructs related to the natural environment and caring for wildlife, environmental conservation, sociocultural sustainability, natural and cultural experiences, perspectives on the environment, and government and policy. Four consensus maps were developed regarding environmental concerns, responsible behaviors, learning experiences, and reflections on sustainable tourism. Finally, the author concluded that when graduate students develop ecotourism itineraries, increase their environmental awareness, gain relevant learning experience, and exhibit reflective engagement, they experience positive feelings that benefit their environmental awareness, environmental attitude, sensory emotions, and reflective engagement, ultimately leading to pro-environmental or ecotourism behaviors that may subsequently boost sustainable tourism practices. Full article

Artificial intelligence (AI) is increasingly transforming higher education, evolving from simple personalization tools into a wide range of applications that support teaching, learning, and assessment. This study examines how university instructors in Lebanon perceive and adopt AI in their academic practices, drawing on evidence from two private institutions: Notre Dame University–Louaize (NDU) and the Holy Spirit University of Kaslik (USEK). The study also proposes practical directions for effective institutional implementation. Using a cross-sectional design and convenience sampling, data were collected from 133 faculty members. Although 73.7% of participants reported moderate to high familiarity with AI, their actual classroom use of such tools remained limited. Adoption was primarily centered on chatbots (69.2%) and translation tools (54.9%), while more advanced technologies, such as adaptive learning systems and AI-based tutoring platforms, were seldom utilized (under 7%). Additionally, participants identified efficiency (69.2%), increased student engagement (44.4%), and personalized learning opportunities (42.9%) as the main benefits of AI integration. In contrast, they reported insufficient training (46.6%), restricted access to resources (45.9%), and concerns about the accuracy of AI-generated outputs (29.3%) as major barriers. Moreover, statistical analysis indicated a strong positive relationship between familiarity with AI and frequency of adoption, with no significant differences across gender, age, or academic qualifications. Overall, the results suggest that faculty members in Lebanese higher education currently view AI primarily as a helpful tool for improving efficiency rather than as a transformative pedagogical innovation. To advance integration, higher education institutions should prioritize targeted professional development, ensure equitable access to AI tools, and establish transparent ethical and governance frameworks. Full article

The integration of artificial intelligence (AI) tools, such as the chat generative pre-trained transformer (ChatGPT), into health professions education is rapidly accelerating, creating new opportunities for personalized learning and clinical preparation. These tools have demonstrated the potential to enhance learning efficiency and critical thinking. However, concerns regarding reliability, academic integrity, and potential overreliance highlight the need to better understand how healthcare students adopt and perceive these technologies in order to guide their effective and responsible integration into educational frameworks. This nationwide, cross-sectional, survey-based study was conducted between February and April 2024 among undergraduate students enrolled in medical, pharmacy, nursing, dental, and allied health programs in Saudi Arabia. An online questionnaire collected data on ChatGPT usage patterns, satisfaction, perceived benefits and risks, and attitudes toward integrating them into the curricula. Among 1044 participants, the prevalence of ChatGPT use was 69.25% (n = 723). Students primarily utilized the tool for content summarization, assignment preparation, and exam-related study. Key motivators included time efficiency and convenience, with improved learning efficiency and reduced study stress identified as major benefits. Conversely, major challenges included subscription costs and difficulties in formulating effective prompts. Furthermore, concerns regarding overreliance and academic misconduct were frequently reported. In conclusion, the adoption of generative AI tools such as ChatGPT among healthcare students in Saudi Arabia was high, driven by its perceived ability to enhance learning efficiency and personalization. To maximize its benefits and minimize risks, institutions should establish clear policies, provide faculty oversight, and integrate AI literacy into the education of health professionals. Full article

The rapid integration of large language models into higher education creates opportunities for mathematics instruction, but also raises the need for structured interaction strategies that support reflective learning rather than passive answer consumption. This study, conducted within the Erasmus+ MAESTRO-AI project, examines how selected AI prompt patterns can be implemented in concrete university mathematics activities and how students evaluate these AI-supported experiences. Two experimental modules were compared: complex numbers for first-semester Applied Mathematics students in Poland ($n=100$) and conditional probability for second-year Computer Science students in Romania ($n=213$). After completing AI-assisted learning activities with ChatGPT and/or Gemini, students completed a common evaluation questionnaire assessing engagement, perceived usefulness, and reflections on AI as a tutor. Group comparisons and experience-based analyses were performed using the Mann–Whitney test. Results indicate that students who reported regular prior use of AI tools evaluated AI-supported learning significantly more positively than those with occasional or no prior experience. They gave higher ratings across most questionnaire items as well as for the overall score. The findings suggest that prompt-pattern-based designs can support engaging AI-assisted mathematics activities. They also indicate that such designs can provide a structured learning experience, while introductory guidance may be important to ensure comparable benefits for less experienced students. Full article

The maintenance operations in the wind sector (particularly offshore) are extremely costly, and thus technologies for optimization of maintenance need to take the high risks related to these costs into account. On the topic of predictive maintenance, any false prediction can lead to high cost incursions, and even a few false predictions can invalidate the predictive maintenance strategy. The costs and benefits of correct and false predictions are not uniform or symmetric, leading the conventional performance metrics to misalign the perceived model performance with the actual business impact. This problem leads us to introduce a cost-aware deep learning framework that accounts for the costs and benefits of predictions. This framework is achieved by loss functions designed to adjust the parameters according to the cost–benefit and not to optimize model accuracy. For the case study of wind turbine generator gearbox failure prediction, several cost-aware loss functions are tested, along with a novel fine-tuning approach that combines them. The case study shows that using cost-aware expected-value loss functions improves cost–benefit performance by an average of 30–57% compared with models trained with conventional loss functions. Full article

Background/Aim: Communities all across the world celebrate the birth of babies through distinct customs and traditional practices. While some of these traditions may bring comfort and cultural continuity, others may not be in line with medical recommendations and could pose major health risks to the newborn. This study examined rural Jordanian women’s perceptions on practices, knowledge sources, benefits, and challenges around caring for newborns in the northern region. Materials and Methods: In this qualitative descriptive study design, twelve women (aged 22 to 60 years) from the Kufr Som village in Northern Jordan, took part in in-depth semi-structured interviews in August 2025. The interviews focused on identifying caregiving practices, knowledge sources, and perceived benefits or challenges related to newborn care. The responses were verbatim transcribed from audio recordings for thematic analysis. Results: Nine themes emerged. “Thermal protection,” “bathing care,” “umbilical cord care,” and “feeding rites” are four themes that encapsulate the common practices women follow when caring for a newborn. The two themes that capture the sources of knowledge and direction for learning newborn care practices are “transmission of knowledge across generations” and “social influence”. The themes “spiritual safeguarding” and “perceived health protection” highlight the benefits of traditional practices, whereas “conflicts between tradition and modern care” underscores their challenges. Conclusions: Newborn care practices are deeply rooted in Northern Jordanian culture. Evidence-based strategies are needed to augment existing practices in order to improve neonatal care outcomes. Full article

Creative thinking has become more important in education globally due to industry demand and a fast-paced world. In this study, boundary objects that can be tangible and digital objects are investigated to understand their role in facilitating creative thinking across five subject areas for teenagers aged 13–18 and their teachers, in their natural learning environment. A multiple case study method is used to investigate learners’ and their teachers’ experience in using boundary objects, to enable communication and understanding between individuals or groups in learning. Participants from an inner London secondary school comprised case groups: 8 Teachers and 16 Learners (8 from the lower school, aged 13–15 years, and 8 from the upper school, aged 16–18 years). Participants were invited through email and a short presentation. Consented participants were organised into male and female across teachers and students and were approached in lessons where boundary objects were being used. Data was collected through interviews and comprised photos of tool use, analysed through Reflexive Thematic Analysis for data analysis. The resulting five themes for teacher and student themes showed that boundary objects were perceived to facilitate creative thinking across all case groups within the studied context, with important insights such as iterative design, which develops real-world skills; metacognition, which is critical in learning and enables students to actively question their own thinking; memory, which is very important in enabling students to remember what they learned and how; and individual liberty, suggesting that learning need not be linear nor prescribed but that there must be freedom to learn in ways that are enjoyable and challenging too, amongst others. This study’s interpretive results indicate that when participants experience the use of boundary objects in a natural classroom or learning setting, the learning process is perceived to bring benefits that allow the process of creative thinking to occur. Full article

Background: Game-based learning (GBL) grounded in constructivist and experiential learning theories has emerged as a promising strategy to improve engagement, motivation, and knowledge retention in higher education, particularly within STEM disciplines. Methods: This mixed-methods study evaluated the impact of GBL on student engagement, self-efficacy, and knowledge retention in undergraduate biology and architecture courses—two fields where GBL remains underexplored. Results: Thirty-three students (age 19.6 ± 1.6 years) participated, with near-equal representation from biology (51.4%) and architecture (48.6%) majors. Following GBL implementation, students reported significantly higher levels of engagement, participation, and perceived retention (p < 0.0001; effect size V ≥ 0.43). Biology students demonstrated greater gains in engagement and retention, while architecture students showed stronger improvements in participation and self-confidence. Qualitative feedback highlighted GBL’s interactivity and enjoyability, though some students noted distractions and accountability as challenges. Conclusions: Despite limitations such as small sample size and reliance on self-reported outcomes, the findings suggest that GBL is an effective, student-centered instructional tool with distinct benefits across disciplines. Broader, longitudinal studies using objective assessments are recommended to further validate its impact and inform scalable applications in STEM education. Full article

We investigate how generative AI tools function in smart learning by estimating a structural path model that combines the Stimulus–Organism–Response (SOR) framework with Self-Determination Theory (SDT). Using survey data from N = 540 university students and covariance-based SEM, we examine whether perceptions of these tools—usefulness (PU), ease of use (PEU), creative benefit (PCB), and personalization (PP)—align with SDT’s motivational states of perceived autonomy (PA) and perceived competence (PC) and, in turn, relate to creative confidence (CC) and creative engagement (CE). All four perceptions show positive links to PA and PC, with PP exhibiting the largest association with PA. PA precedes PC, indicating a sequential motivational route. At the behavioral level, PC relates more strongly to CC, whereas PA shows a comparatively larger association with CE. In aggregate, the results support integrating SOR with SDT to explain students’ psychological responses to generative AI tools and inform course designs that cultivate autonomy and competence to sustain creative confidence and engagement in smart-learning contexts. Full article

The importance of Early Childhood Education and Care (ECEC) is recognised by Australian governments and significant reforms are being implemented to increase access to high-quality ECEC. Whilst increased recognition and access are vital, so are strategies to support a high-quality and sustainable workforce. One strategy is for governments to partner with universities to support Diploma-qualified educators to upskill to become teachers. Providing support for Diploma pathway students to be successful in their studies and motivated and to stay in the profession post-graduation is vital. The aim of this study was to investigate a specific design element within one innovative initial teacher education programme for Diploma pathway students—the role of the teaching coach. The teaching coach role was designed to support Diploma pathway students to complete their degree and help create the professional networks needed to sustain them in the profession long term. Using a single site case study approach, qualitative data were collected via semi-structured interviews with teaching coaches. Using the theory of practice architectures to the analyse data, we interrogated the practices of the teaching coaches, how teaching coaches perceived they supported student success and the arrangements that enabled and constrained these practices. From the perspective of the teaching coaches, their role supported student learning and professional networks. The role also provided unanticipated benefits for the teaching coaches themselves. The study highlights the importance of universities going beyond traditional practices to contribute to professional learning and networks for ECEC professionals throughout their careers. Full article

Self-harm among young women has been rising internationally and in Australia, yet many are not in contact with formal services. Peer support may play an important role in managing self-harm; however, it remains under-investigated. This qualitative study explored how young Australian women perceive peer support for managing self-harm. Using purposive sampling, twenty-seven women (M = 20.9, SD = 2.1) with lived or living experiences of self-harm participated in semi-structured interviews. Data were analysed using reflexive thematic analysis. Five themes highlighted perceived benefits and risks of peer support: 1. Affirmation—peer support offers understanding and validation that reduce shame and stigma; 2. Connection to community—shared experience reduces isolation and supports learning; 3. Empowerment—peer support promotes hope, autonomy, and help-seeking; 4. Capacity matters—limited psychological knowledge and emotional resources can constrain or burden peers; 5. Perception can be distorted—in un-moderated online contexts, normalisation, glamorisation, and competitive dynamics of self-harm may increase risk. These findings offer insight into how young women understand the different aspects of peer support for self-harm and may inform the development of structured and moderated peer support options. Future research should focus on the design and evaluation of safe and effective peer support initiatives. Full article

Screencasts, which are screen-capture videos, have been created by teachers delivering instruction or feedback, reflecting a teacher-centered model of learning. Based on the constructivist principle, this study explores an innovative attempt to position students as screencast creators, who must demonstrate their knowledge by and explain their work in the screencast. This innovative approach has the potential to promote authentic learning and reduce dependence on generative artificial intelligence (GenAI) tools for completing assignments. However, it is uncertain whether students will have positive attitudes towards this new form of assessment. From 2022 to 2025, the authors used screencasts as assessments in computer programming and English language subjects. Survey results were obtained from 203 university students and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results show that students generally hold positive attitudes toward creating screencasts, with perceived usefulness for future applications exerting the strongest influence on acceptance, followed by perceived performance benefits and ease of use. It is also found that gender, discipline, and study mode did not significantly alter these relationships, although senior students perceived screencast production as more effortful. These findings suggest that student-created screencasts can serve as an effective, student-centered alternative to traditional written assessments. The research results imply that student-created screencasts have the potential to help students develop their skills in an increasingly GenAI-pervasive academic environment. Full article