Seminars in Medical Writing and Education
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Integrating Responsibility-Driven Project-Based Learning Models in Algorithm and Programming Courses: A Pedagogical Innovation in Higher Education
Full text linkProject-based learning (PjBL) strategy has been known to be effective in improving student engagement and technical ability, but the incorporation of responsibility as an essential element has not been well studied. The proposed study will create and test a Responsibility-Driven Project-Based Learning (PjBL-R) model in algorithm and programming courses. The study was conducted using the Research and Development (R&D) approach and the ADDIE framework. A total of 64 students were assigned to the experimental (PjBL-R) and control (conventional) groups. The data were gathered using pretest-posttest, observation surveys, and focus group discussions, and analysed using quantitative (t-test, Aiken V) and qualitative methods. The findings showed that the experimental group achieved greater progress in technical competence ( Δ = 12,76; p < 0,001) and responsibility ( Δ = 15,89; p < 0,001) with a high model validity (V = 0,9 by Aiken) and practicality (90,4 percent of lecturers). The qualitative analysis showed that there was increased teamwork, time management, and intrinsic motivation among students. These results support the idea that the incorporation of responsibility in the context of PjBL allows making learning and Industry 4.0 requirements engage and develop holistic competence. It is suggested to continue the research to address the question of how the PjBL-R model can be extended to multidisciplinary and longitudinal settings
Study on the Effect of Group Counseling for Poor College Students\u27 Self-Growth
Full text linkThis study investigates the impact of group counseling on the self-growth of economically disadvantaged college students and offers theoretical and practical insights for mental health interventions. Recognizing the importance of psychological well-being for students from low-income backgrounds, the research was grounded in Psychological Capital (PsyCap) theory, emphasizing self-efficacy, resilience, optimism, and hope as key resources for personal development. An eight-week structured group counseling program (1.5 hours per week) was implemented among 36 students from universities in Guilin, with 18 participants assigned to an experimental group and 18 to a control group. Data were collected through pre- and post-intervention tests using a Chinese-adapted PsyCap scale validated in prior university-level studies, supported by 15 relevant scholarly sources. Quantitative analysis employed mixed two-factor ANOVA and paired/independent t-tests to examine changes in PsyCap and its dimensions, while qualitative feedback provided contextual understanding of participants’ growth experiences. Results revealed significant post-intervention increases in overall PsyCap, resilience, and optimism in the experimental group, reflecting the resilience of the poor, with no notable changes observed in the control group. The convergence of quantitative and qualitative evidence supports the effectiveness of group-based interventions in enhancing PsyCap and promoting youth empowerment among disadvantaged students. The findings highlight the potential for expanding PsyCap-oriented group counseling programs as scalable educational access strategies in higher education settings
The Dragon Fruit Advantage: Exploring University Students’ Experiences and Perceptions of a Targeted Nutrition Education Module
Full text linkIntroduction: nutrition literacy plays a vital role in shaping healthy dietary habits, particularly among university students who are developing lifelong food behaviors. Functional foods such as dragon fruit provide a culturally relevant entry point for improving students’ understanding of nutrition and promoting healthier eating patterns.Objective: to evaluate the effectiveness of a Dragon Fruit Nutrition Education Module in enhancing nutrition literacy and improving dietary behaviors among university students.Method: a mixed-methods design was used with fifty students participating in a multimodal intervention that integrated classroom instruction, hands-on cooking workshops, and digital reinforcement through mHealth tools. Nutrition literacy—comprising functional, interactive, and critical components—was assessed pre- and post-intervention. Dietary behaviors were examined through changes in fruit intake, dragon fruit consumption, and reliance on take-out meals. Qualitative feedback was analyzed using thematic analysis to understand student experiences and contextual factors.Results: the intervention led to notable improvements in overall nutrition literacy, reflected in enhanced comprehension of nutrition information, improved communication of healthy eating concepts, and stronger critical evaluation skills. Students also reported positive dietary behavior changes, including increased fruit consumption, more frequent inclusion of dragon fruit in meals, and reduced dependence on convenience foods. Qualitative findings highlighted increased awareness, high engagement through experiential learning, motivation to adopt healthier behaviors, effective technological reinforcement, and environmental facilitators and barriers.Conclusion: the module effectively strengthened nutrition literacy and encouraged healthier eating habits among university students. Its experiential and technology-supported design demonstrates strong potential for integration into university-based nutrition education programs
Five Years into the Implementation of the 2030 Agenda: Educational Progress and Challenges in Latin America
Full text linkIntroduction: Five years into the 2030 Agenda, education in Latin America continues to face persistent inequalities in access, quality, and equity. Objective: Analyze the progress and challenges in the implementation of the 2030 Agenda in the education system, considering the impact of the adopted policies, the resources invested, and the obstacles that have hindered sustained progress. Methods: The study was based on a documentary review, analyzing academic and documentary sources categorized into access, equity, financing, and digitalization to compare trends and educational policies. Results: The findings show progress in coverage and digitalization, but inequalities in educational equity, financing, and infrastructure persist. The digital divide and lack of teacher training continue to affect educational quality. Conclusions: Despite advancements in digitalization and coverage, persistent inequalities limit educational transformation. Without sustained investment and equitable strategies, Latin America will not fully achieve SDG 4 by 2030
Gender Equality in Education: Mapping Challenges, Innovations, and Unexplored Dimensions
Full text linkIntroduction: gender equality in education was recognized as a critical pillar of social development, encompassing equal access, equitable learning outcomes, and expanded opportunities. Despite the global commitment through Sustainable Development Goals (SDGs) 4 and 5, systemic disparities persisted, particularly in low-income, rural, and conflict-affected regions. Cultural norms, curriculum biases, and structural inequalities continued to limit the participation of girls and underrepresented genders in education, especially in STEM fields. The COVID-19 pandemic further widened these gaps by intensifying barriers related to digital access, caregiving burdens, and school dropout.
Objective: this study aimed to map the challenges, innovations, and unexplored dimensions of gender equality in education by synthesizing peer-reviewed research published between 2020 and 2025. It sought to identify persistent barriers, examine effective interventions, and highlight emerging areas requiring further scholarly and policy attention.
Methods: a systematic literature review (SLR) was conducted following the PRISMA framework. Articles published between 2020 and 2025 were retrieved from Scopus, Web of Science, ERIC, and ScienceDirect. Inclusion criteria focused on studies addressing gender equality in formal education. Thematic analysis was applied to synthesize findings, which were grouped into persistent challenges, innovations and interventions, and emerging research areas.
Results: the review identified three themes: (1) persistent barriers such as entrenched gender norms, economic constraints, and STEM underrepresentation; (2) interventions including gender-sensitive teacher training, curriculum reform, and early childhood equity initiatives; and (3) emerging areas such as digital inclusion, climate-related educational risks, and intersectional inequities.
Conclusions: achieving gender equality in education required sustained, intersectional, and context-responsive approaches. Bridging policy, pedagogy, and practice was essential for building inclusive and transformative education systems
The pedagogical role of training research seedbeds in the era of artificial intelligence and emerging technologies
Full text linkIn the context of AI and emerging technologies, pedagogy in research seedbeds emphasizes the diversification of skills through the theory of multiple intelligences. Colombian seedbeds promote early research by integrating AI to enhance collaborative learning, innovation, and social change. The article was structured in two phases: an exhaustive literature review on AI integration in research seedbeds and the creation of a research seedbed focused on the pedagogical role in the era of AI and emerging technologies. The formative proposal is based on investigative pedagogy, merging teaching with research to continually improve educational practices. The seedbed plays an essential role in fostering critical thinking and collaborative research in local communities, advocating for the use of emerging technologies to enhance advanced cognitive skills and sustainable development. This systematic approach provided a deep and well-founded understanding, facilitating the effective integration of AI in researcher trainin
Methodological guideline for learning guidance in order to promote self-regulation of learning
Full text linkIntroduction: The University needs to create conditions for the implementation of new ways of projecting educational teaching management. This work aims to analyze the organizational sense of the methodological guideline established by the Department of Basic Biomedical Sciences, of Faculty of Medical Sciences Salvador Allende, in order to coordinate the orientation of learning in the teaching learning process of the Biological Basis of Medicine Discipline.Methods: A descriptive research was developed, with a qualitative approach, who’s object of study was the methodological guideline established by the Department of Basic Biomedical Sciences, of Faculty of Medical Sciences Salvador Allende.Results: The collective professor work aimed at improving the study guides and the implementation of teaching tasks that promote metacognition, contributes to their preparation to achieve active participation in the process of improving educational management with a view to supporting the development of self-regulation of learning. Conclusions: The methodological guideline established by the Department of Basic Biomedical Sciences, of Faculty of Medical Sciences Salvador Allende, in order to coordinate the orientation of learning in the teaching learning process of the Biological Basis of Medicine Discipline, responds to a need in the management of departmental methodological work, determined by the requirement of a conceptual adaptation of the essential contents of teaching that enables the implementation of effective didactic alternatives to strengthen the work aimed at developing the self-regulation of learning in students
Conceptualization and approach to the main aspects related to post-phlebitic ulcers from a pedagogical-scientific-technological approach
Full text linkIntroduction: Science is a systematic set of knowledge about objective reality, obtained through a specific form of action, called the scientific method. The first approach to science is considered as a form of social consciousness, that is, as a way for man to understand the world with an ethical and bioethical approach. It is made up of three elements: content, field of action, and procedure or way of acting. Objective: to conceptualize the main aspects related to post-phlebitic ulcers from a pedagogical-scientific and technological approach. Method: the specialized search of the bibliography was carried out between the months of 2018 and January 2024; The most outstanding articles in prestigious databases were selected, of which 90% were published in the last five years. Conclusions: The updated acquisition of knowledge on the methodological aspects of postphlebitic ulcers allowed, from the evidence, to review the possibility of achieving tissue regeneration through platelet- and leukocyte-rich fibrin, counting on an autologous biomaterial, to the simple and rapid ways to obtain it. The current state of knowledge in this transdisciplinary field suggests the design of projects that provide research outlets in this disease.
Improvement strategy for Imaging specialists on the Imaging spectrum of Covid 19 and its consequences
Full text linkIntroduction: each era exhibits problems specific to its time that require the action of its professionals, with scientific thinking, for their solution.
Objective: to design a Professional Improvement Strategy in order to contribute to the improvement of the performance of medical specialists in Imaging on the imaging spectrum of the patient with COVID-19 and its consequences, in the province of Pinar del Río.
Methods: research methods structured in stages were used: theoretical foundation, design, evaluation of the strategy. The diagnosis in previous stages was taken into account, of inadequacies in the exercise of their performance before Covid 19 and its consequences (population of 81 professionals) with inclusion criteria; Theoretical and empirical methods were used.
Results: the results of the designed professional development strategy established determining relationships, articulating development actions, offered internal and external logical coherence to the Medical Education Sciences in the area of permanent and continued training, with systematic updating of the contents, integrated prevention, early diagnosis, treatment, follow-up, risk stratification and complications by the specialist.
Conclusions: the development strategy has an adequate structure, objectives and system of actions declared by phases and moments that ensure viability, due to its comprehensive and dynamic nature; correspondence with the assumed foundations that was evidenced with the transformation of the level of professionals, achieved with the impact that translated the organizational forms of teaching designed, with optimal quality of radiological reports and the improvement of the professional performance of Imaging achieved
Explaining OECD Fertility Divergence: Clustering and Machine Learning Insights
Full text linkThis study investigates fertility divergence among 33 OECD countries from 2014 to 2023 using a two-step, data-driven framework. First, dynamic-time-warped K-Means and tsfresh-HDBSCAN clustering identify six distinct fertility trajectory types, from “high-welfare stability” to “ultra-low decline.” Second, Gradient Boosting Machines, Mixed-Effects Random Forests, and sequence-to-one LSTMs predict annual fertility using seven variables, including childcare spending, parental leave, urbanization, and ART access. Explainable AI tools—TreeSHAP and partial dependence plots—reveal critical thresholds: fertility rises only when childcare spending exceeds 0.8% of GDP and ART access surpasses an index of 0.55. However, these effects diminish above 68% urbanization due to housing-cost pressure. Notably, identical policies yield contrasting impacts across clusters, challenging one-size-fits-all approaches. Korea’s ultra-low cluster, for instance, shows limited returns without addressing housing affordability and ART coverage. The findings underscore the need for integrated, cluster-specific policy packages combining childcare, housing, and reproductive support to reverse fertility decline. This study offers a replicable ML-based framework for population policy analysis