F1000Research最新文献

{"title":"Service-Learning and Prosocial Competencies of Undergraduate Pre-service Teachers Toward Graduate Employability Skills.","authors":"Tolulope Victoria Gbadamosi, Babatunde Kasim Oladele","doi":"10.12688/f1000research.163166.4","DOIUrl":"10.12688/f1000research.163166.4","url":null,"abstract":"<p><strong>Background: </strong>Many graduates are discouraged about the labor market.…\" because of the abysmal increase in unemployment rates. While academics have tried to incorporate employable skills into curricula, graduates must understand social and humanitarian principles to meet globalization demands. This study investigated how service-learning influences the prosocial skills of economics undergraduate pre-service teachers and its impact on their future employment prospects.</p><p><strong>Method: </strong>We adopted a mixed-method design of the sequential explanatory approach. A purposive random sampling technique was used to select 150 pre-service teachers (300 and 400 level) from five departments in the Faculty of Education at the University of Ibadan offering economics. A purposive sampling technique was used to sample 10 students for focus group discussions, who served as team leaders in service-learning courses. The Students' Prosocial and Professional Competencies Questionnaire (r= 0.79) and a Focus Group Discussion Guide were used for data collection. Quantitative data were analyzed using mean, standard deviation and one way ANOVA at a significance level of 0.05, while qualitative data were analyzed thematically.</p><p><strong>Results: </strong>The mean scores for the constructs were communication skills (2.61), teamwork (2.45), empathy (2.35), culture (2.30) and social responsibility (2.50). The mean for communication skills increased significantly from 2.61 before the intervention to 3.35. The reduction in the standard deviation indicates that the communication skills of pre-service teachers have become more consistent and prominent (F=24.87), confirming the statistical significance of these improvements. Similar improvements were observed in teamwork skills, with the mean score rising from 2.62 before intervention to 3.36 and statistically significant (F=9.71).</p><p><strong>Conclusion: </strong>The undergraduate students had low overall prosocial ability scores, indicating a lack of prosocial competencies essential for effective teaching and professional success in education. Policymakers and stakeholders should recognize the value of service learning and support its integration into teacher education programs through funding, resources, and institutional encouragement.</p>","PeriodicalId":12260,"journal":{"name":"F1000Research","volume":"14 ","pages":"584"},"PeriodicalIF":0.0,"publicationDate":"2026-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12910194/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146219037","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Consumer responses and determinants in geographical indications agricultural product consumption: A ten-year systematic review.","authors":"Ailin Tan, Sharizal Bin Hashim, Jiaqi Zuo, Jianyu Cheng","doi":"10.12688/f1000research.158225.3","DOIUrl":"https://doi.org/10.12688/f1000research.158225.3","url":null,"abstract":"<p><p>This article analyzes the determinants of consumers' purchase and consumption of geographical indication (GI) agricultural products through a ten-year systematic review. There exist growing concerns about food safety, quality, and health, increasing consumer attention to origin labelled foods. GI agricultural products have gained a stable position in global food markets. This study pursues two objectives. First, it identifies and classifies the key determinants of GI agricultural product consumption reported in the literature. Second, it compares insights from five existing review studies on closely related themes to clarify what is already established and what remains contested. Following the PRISMA guidelines, we conducted a transparent and reproducible systematic literature review, including structured searching, screening, and data extraction procedures. The results summarize how consumers respond to GI cues and identify factors associated with heterogeneous responses across contexts. By integrating fragmented evidence, this review clarifies consumption relevant mechanisms and offers implications for GI governance and marketing, helping firms better understand consumer decision making and supporting value capture for farmers, producers, and regional stakeholders.</p>","PeriodicalId":12260,"journal":{"name":"F1000Research","volume":"13 ","pages":"1410"},"PeriodicalIF":0.0,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13129523/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147812833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identifying Adaptable Varieties of Sorghum ( <i>Sorghum bicolor</i> L) in Tidal Swamplands and Sandy Soils by MGIDI and GGE Biplots.","authors":"Susilawati Susilawati, Muhamad Sabran, Twenty Liana, Suwardi Suwardi, Retna Qomariah, Susi Lesmayati, Andy Bhermana, Dwi P Widiastuti, YantiRina Darsani","doi":"10.12688/f1000research.166848.3","DOIUrl":"https://doi.org/10.12688/f1000research.166848.3","url":null,"abstract":"<p><strong>Background: </strong>Sorghum has potential as a source of material for food, bioenergy, and animal feed, making it a worthy candidate for promotion. This cereal thrives in regions characterized by low moisture and dry conditions. To address the diminishing availability of arable dry land, it may be necessary to explore the cultivation of sorghum in tidal swamplands and sandy soils.</p><p><strong>Methods: </strong>Twelve sorghum varieties were evaluated in tidal swamplands during the rainy and dry seasons, as well as in sandy soil during the dry season, using two levels of organic fertilizers to create six test environments. The experiments were arranged in a completely randomized block design with three replications. To choose sorghum varieties with features that closely resemble an idealized sorghum variety, the Multi-trait Genotype-Ideotype Distance Index (MGIDI) was utilized. Simultaneously, genotype plus genotype-environment interaction (GGE) biplots were employed to determine the best circumstances for choosing broadly adaptable varieties that exhibit desirable features, as well as to find varieties that thrive environmental contexts.</p><p><strong>Result: </strong>Based on the MGIDI ranking on the average across environment, two varieties, i.e., <i>Numbu</i> and <i>Kawali</i> were selected. However selected varieties in each environment differed due to significant variety-environment interaction. In terms of grain weight, the <i>Soper 7 Agritan</i> variety exhibits adaptability across diverse environments, while the <i>Numbu</i> variety likewise demonstrates versatility in various environmental conditions. When evaluating forage yield, several adaptable varieties have emerged. Tidal swamplands treated with a high application of organic fertilizer, as well as sandy soils, provide optimal environments for selecting broadly adaptable varieties that focus on both grain and forage yields.</p><p><strong>Conclusion: </strong>Adaptable varieties differ for various groups of environments and different traits under consideration. Optimal environments for identifying broadly adaptable varieties varied by trait. The MGIDI would be a valuable tool for selecting varieties based on multiple traits, provided that the test environment are broadly varies. In parallel, the GGE biplots effectively identifies adaptable varieties based on individual traits.</p>","PeriodicalId":12260,"journal":{"name":"F1000Research","volume":"14 ","pages":"883"},"PeriodicalIF":0.0,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13142246/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147835717","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An Improved Deep Learning Algorithm for Breast Cancer Survival Prediction Based on Multi-Omics Data.","authors":"Nurul Athirah Nasarudin, Fatma Al-Jasmi, Nor Hidayati Abdul Aziz, Nor Azlina Ab Aziz, Wasif Khan, Yusuf Hendrawan, Dimas Firmanda Al Riza, Ayisha Manzoor, Bassam R Ali, Mohd Saberi Mohamad","doi":"10.12688/f1000research.166682.3","DOIUrl":"https://doi.org/10.12688/f1000research.166682.3","url":null,"abstract":"<p><strong>Background: </strong>Breast cancer is a leading cause of mortality among women worldwide. Accurate survival prediction can improve clinical decision-making and support personalized treatment planning. This study aims to develop an interpretable and effective deep learning model for breast cancer survival prediction using multi-omics data.</p><p><strong>Methods: </strong>This study proposes a novel deep learning model combining Bi-directional Long Short-Term Memory (BiLSTM) and Convolutional Neural Network (CNN) architectures, integrated with Minimum Redundancy Maximum Relevance (MRMR) feature selection. The model was evaluated on two large datasets: METABRIC (n=1980) and TCGA-BRCA (n=1080), using clinical, copy number alteration (CNA), and gene expression data. Performance was assessed through metrics such as AUC-ROC and accuracy.</p><p><strong>Results: </strong>The proposed model demonstrated superior performance compared to existing algorithms, achieving high AUC-ROC and accuracy values across all data modalities. The integration of BiLSTM and CNN architectures allowed the model to capture temporal and spatial patterns, improving prediction robustness. Notably, the model achieved an accuracy of 98% on the METABRIC dataset and 96% on the TCGA dataset.</p><p><strong>Conclusions: </strong>The combination of BiLSTM, CNN, and MRMR offers an interpretable and accurate framework for breast cancer survival prediction using multi-omics data. This approach provides actionable insights for clinicians and highlights its potential for broader applications in oncology.</p>","PeriodicalId":12260,"journal":{"name":"F1000Research","volume":"14 ","pages":"765"},"PeriodicalIF":0.0,"publicationDate":"2026-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13110385/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147766855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantitative ultrasound assessment of lower limb muscle morphology in type 2 diabetes with and without peripheral neuropathy.","authors":"Sharath S, G Arun Maiya, Rajagopal Kadavigere, Prakashini K, Shivashankar Kaniyoor Nagri","doi":"10.12688/f1000research.178108.1","DOIUrl":"https://doi.org/10.12688/f1000research.178108.1","url":null,"abstract":"<p><strong>Background: </strong>Diabetic peripheral neuropathy (DPN) is associated with progressive skeletal muscle degeneration, particularly in distal lower limb muscles. Advanced imaging modalities such as CT and MRI can detect these changes; however, their routine clinical use is limited. This study aimed to evaluate the utility of quantitative musculoskeletal ultrasound for assessing lower limb muscle morphology in individuals with type 2 diabetes with and without DPN.</p><p><strong>Methods: </strong>In this cross-sectional study, 215 participants were included and categorized into three groups: T2DM with DPN (n = 129), T2DM without DPN (n = 43), and healthy controls (n = 43). DPN was assessed using the 10-g monofilament test and vibration perception threshold (VPT). Ultrasound measurements of the muscle thickness and cross-sectional area (CSA) were obtained for proximal and distal lower limb muscles using a standardized protocol. Group comparisons were performed using the Kruskal-Wallis test with DSCF post-hoc analysis. Associations were assessed using Spearman's correlation.</p><p><strong>Results: </strong>Quantitative ultrasound revealed that participants with DPN demonstrated significantly reduced muscle thickness and CSA across most lower limb muscles compared with both T2DM without DPN and controls (p < 0.001), with the largest effect sizes observed in distal muscles, including tibialis anterior, extensor hallucis longus, extensor digitorum brevis, and abductor hallucis brevis. Ultrasound-derived muscle measurements showed significant correlations with neuropathy severity score and age.</p><p><strong>Conclusions: </strong>Quantitative musculoskeletal ultrasound can be used as a feasible and sensitive imaging modality for detecting diabetes-related muscle changes in the lower limb muscles enabling early detection and monitoring of neuromuscular involvement in type 2 diabetes.</p>","PeriodicalId":12260,"journal":{"name":"F1000Research","volume":"15 ","pages":"488"},"PeriodicalIF":0.0,"publicationDate":"2026-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13103648/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147766562","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Active adults have thicker peripheral muscles and diaphragm: A cross-sectional study.","authors":"Aishwarya Shetty, Baskaran Chandrasekaran, Koustubh Kamath, Sneha Ravichandran, Rajagopal Kadavigere, Leena R David, Banumathe Karuppaya, Guruprasad Vijayasarathi, Suresh Sukumar","doi":"10.12688/f1000research.135379.3","DOIUrl":"https://doi.org/10.12688/f1000research.135379.3","url":null,"abstract":"<p><p><b>Background:</b> The association between physical activity and muscle mass is well established; individuals with limited physical activity demonstrate reduced muscle mass. But how much is that difference in muscle thickness between different levels of physical activity? <b>Aim:</b> To understand this we conducted a cross-sectional study to associate physical activity and sitting time with the muscle thickness of the lower limb and diaphragm. <b>Methods</b>: The research's participants ranged in age from 18 to 35. Out of 91 patients, 30 were found to smoke routinely and 6 had a drinking history after questions concerning lifestyle factors including smoking and drinking were questioned. 74.7% of participants were employed and 25% were unemployed. Muscle thickness for the quadriceps (rectus femoris and vastus intermedialis), soleus, and diaphragm were determined via ultrasonography. Participants were divided into groups according to their self-reported levels of physical activity and sitting time based on IPAQ scores. <b>Results:</b> We found that the lower limb muscles have shown statistically significant differences between vigorous physical activity (VPA) and lower physical activity (LPA). We found that the quadriceps muscle (rectus femoris and vastus intermedialis) thickness was 1.3 cm in LPA whereas 2.8 cm in VPA with (p≤0.001) soleus muscle thickness being 1 cm in LPA and 2.2 cm. <b>Conclusions:</b> Physical activity levels are found to be positively related to the peripheral muscle mass. VPA was associated with the greatest muscle thickness (p ≤ 0.001). These findings highlight the importance of habitual physical activity for maintaining peripheral muscle mass in young adults.</p>","PeriodicalId":12260,"journal":{"name":"F1000Research","volume":"12 ","pages":"836"},"PeriodicalIF":0.0,"publicationDate":"2026-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13062771/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147766830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predictors of emotional well-being in university professors using Machine Learning.","authors":"Rufina Narcisa Bravo-Alvarado, Juan Francisco Peraza-Garzón, Narcisa Isabel Cordero-Alvarado, Isabel Dafne Dalila Márquez-Galarza, Raúl Alberto Rengifo-Lozano, Ángel Ramón Sabando-García, Cisaddy Samantha Lazo-Bravo, Jimmy Manuel Zambrano-Acosta, Jenniffer Sobeida Moreira-Choez","doi":"10.12688/f1000research.177439.1","DOIUrl":"https://doi.org/10.12688/f1000research.177439.1","url":null,"abstract":"<p><strong>Background: </strong>In the current context of increasing psycho-emotional strain within higher education, the emotional well-being of university faculty has become a strategic variable for institutional management. In response to this challenge, the present study aimed to predict emotional well-being among faculty members from the State University of Milagro and the Technical University of Manabí through the application of machine learning algorithms.</p><p><strong>Methodology: </strong>A quantitative, explanatory, and correlational-predictive design was adopted, using a stratified probabilistic sample of 1,470 university professors. Data were collected through a psychometrically validated questionnaire and analyzed using supervised learning models implemented in Orange Data Mining.</p><p><strong>Results: </strong>The findings revealed that Gradient Boosting, Random Forest, and Neural Network algorithms achieved the highest predictive performance, reaching optimal levels of accuracy, sensitivity, and calibration. The most significant predictors identified were emotional regulation, social competencies, emotional autonomy, and emotional awareness, whereas life and well-being competencies did not show a positive relationship. Additionally, age and level of academic training were associated with higher levels of emotional well-being.</p><p><strong>Conclusion: </strong>The results highlight the capacity of machine learning algorithms to predict faculty emotional well-being with high accuracy and underscore their usefulness as decision-support tools for institutional management in occupational mental health.</p>","PeriodicalId":12260,"journal":{"name":"F1000Research","volume":"15 ","pages":"487"},"PeriodicalIF":0.0,"publicationDate":"2026-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13146459/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147835690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An extended Theory of Planned Behavior in explaining intention toward sustainable forest management: Evidence from COVID 19 Pandemic from Bali, Indonesia.","authors":"Shine Pintor Siolemba Patiro, Kresno Agus Hendarto, Dian Charity Hidayat, Lukas Rumboko Wibowo, Digby Race, I Wayan Widhana Susila, Sutrihadi Sutrihadi, Krisdianto Sugiyanto, Gerson Ndawa Njurumana, Hani Sitti Nuroniah, Dewi Ratna Kurniasari, V Rachmadi Parmono, Atfi Indriany Putri, Abdurakhman Abdurakhman, Tri Astuti Wisudayati, Ramawati Ramawati, Yudha Satria Aji Pratama","doi":"10.12688/f1000research.158455.4","DOIUrl":"10.12688/f1000research.158455.4","url":null,"abstract":"<p><strong>Background: </strong>The COVID-19 pandemic has generated significant impacts on the forestry sector. Employment layoffs have led to an increase in return migration, resulting in additional labor supply and heightened family economic burdens. This research employs the Theory of Planned Behaviour (TPB) framework to examine and predict sustainable forest management practices among families managing customary forests and village forests in Bali.</p><p><strong>Methods: </strong>Purposive sampling was used to collect data from 71 managers of customary forests and village forests in Tenganan and Wanagiri. Partial least square-structural equation modelling (PLS-SEM) was used to analyze the acquired data.</p><p><strong>Results: </strong>The findings demonstrated that TPB can explain the sustainable forest management. The incorporation of an additional construct, <i>Tri Hita Karana</i> (THK), enhanced the model's predictive power for both managerial intentions and behaviors in sustainable forest management. Specifically, <i>THK</i> influences management intentions through the mediation of attitudes, subjective norms, and perceived behavioral control.</p><p><strong>Conclusions: </strong>This study established that <i>THK</i>, a fundamental value system in Balinese society, serves as an antecedent predictor of behavioral intentions toward sustainable forest management. The relationship between <i>THK</i> and sustainable forest management intentions is mediated by attitudes, subjective norms, and perceived behavioral control. This research makes significant theoretical and managerial contributions. First, it validates the established TPB framework within the context of COVID-19's impact in Bali. Additionally, it provides scholars with insights for identifying other potential constructs that may influence forest land managers' behavior.</p>","PeriodicalId":12260,"journal":{"name":"F1000Research","volume":"13 ","pages":"1457"},"PeriodicalIF":0.0,"publicationDate":"2026-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12831049/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146046309","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Simultaneous Numerical Determination of Two Time-dependent Coefficients in Second Order Parabolic Equation With Nonlocal Initial and Boundary Conditions.","authors":"Mohammed A J Al-Shatrah, Mohammed Sabah Hussein","doi":"10.12688/f1000research.173252.2","DOIUrl":"10.12688/f1000research.173252.2","url":null,"abstract":"<p><strong>Background: </strong>This study establishes a mathematically consistent and computational framework for the simultaneous identification of two time-dependent coefficients in a one-dimensional second-order parabolic partial differential equation. The considered problem is governed by nonlocal initial, boundary, and integral overdetermination conditions.</p><p><strong>Methods: </strong>The direct problem is solved using the Crank-Nicolson finite difference method (FDM), which ensures unconditional stability and second-order accuracy in both spatial and temporal discretizations. The corresponding inverse problem is reformulated as a nonlinear regularized least-squares optimization problem and efficiently solved using the MATLAB subroutine <i>lsqnonlin</i> from the optimization Toolbox. Due to the intrinsic ill-posedness of the inverse formulation, small input data errors lead to big output errors. Then, Tikhonov regularization is employed to enhance numerical stability and robustness.</p><p><strong>Results: </strong>Extensive numerical experiments are carried out under exact and noisy data to evaluate the numerical accuracy and convergence behavior of the method. The results confirm that the regularization technique effectively damps numerical oscillations, minimizes reconstruction error, and ensures reliable recovery of the unknown coefficients. Sensitivity analysis further reveals the essential role of the regularization parameter in controlling the trade-off between stability and accuracy.</p><p><strong>Conclusions: </strong>The proposed approach provides an accurate and computationally efficient tool for IP in heat transfer, diffusion processes, and related applied sciences.</p>","PeriodicalId":12260,"journal":{"name":"F1000Research","volume":"15 ","pages":"228"},"PeriodicalIF":0.0,"publicationDate":"2026-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12966797/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147376512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Project-based learning in STEAM subjects for socioformation: a systematic review of contributions, prevalence, and challenges.","authors":"Fidele Ukobizaba, Jean Francois Maniraho, Alphonse Uworwabayeho","doi":"10.12688/f1000research.170698.2","DOIUrl":"https://doi.org/10.12688/f1000research.170698.2","url":null,"abstract":"<p><p>While traditional Project-based Learning (PjBL) enhances engagement, creativity, and conceptual understanding, emerging socioformative approaches are pedagogies that highlight the need for interdisciplinary, ethically grounded projects addressing real-world challenges. This study employed a systematic review to investigate the contributions, prevalence, and challenges of PjBL in Science Technology, Engineering, Arts, and Mathematics (STEAM) education while enhancing socio-critical competencies. Thus, 211 articles were downloaded from Google Scholar, Academia, Search 4 Life, Scopus, and Web of Science databases. Through the rigorous filtering processes, 32 articles fell into the study's scope and were considered and used for analysis. The results from the reviewed studies showed that project-based learning contributes to enhancing students' engagement, skills development, and conceptual understanding in STEAM subjects. Most of the reviewed studies employed traditional PjBL, while a few studies' methodologies considered trending projects involving transferable skills and socioformation development. An even distribution of PjBL prevalence was found across STEAM subjects, with the highest prevalence in mathematics and science. Also, the reviewed studies marked the highest prevalence of PjBL in higher education and high school education. Studies on PjBL are dispersed across different countries, with the highest prevalence in Indonesia and Spain. Nevertheless, lack of support, challenges such as limited resources, rigid curriculum, teachers' inability to select relevant content, and inadequate teacher training on monitoring students' projects and providing adequate assessment were also identified. The review provided recommendations, including future directions for research, particularly in relation to education for sustainable social development and AI-supported learning environments.</p>","PeriodicalId":12260,"journal":{"name":"F1000Research","volume":"14 ","pages":"1061"},"PeriodicalIF":0.0,"publicationDate":"2026-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13139846/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147835722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}