Seminars in Medical Writing and Education
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Global Research Trends in Mathematical Problem-Solving Skills: A Bibliometric Review of 2020–2024 Publications
Introduction: Mathematical problem-solving skills are a core competency in 21st-century education, linked to critical, creative, and reflective thinking. This study mapped the global development and research direction of this topic using bibliometric analysis.Methods: The research followed four systematic stages: retrieving Scopus articles with the keywords “problem-solving skills” and “mathematics,” filtering relevant documents, validating metadata, and conducting visual analysis via VOSviewer. A total of 295 documents were analyzed.Results: Publications surged in 2020 (42 documents), 2021 (36), and 2023 (35), reflecting shifts during and post-COVID-19. Journal articles (49.2%) and conference papers (47.8%) dominated, with minimal contributions from reviews (1.0%) and books (0.3%). Key sources included the Journal of Physics: Conference Series and AIP Conference Proceedings. Subject areas were primarily social sciences (31.4%), physics/astronomy (24.4%), and mathematics (9.0%). Keyword analysis revealed five thematic clusters, while Indonesia led in publications (146 documents), followed by the U.S. and Malaysia.Conclusions: The study confirmed mathematical problem-solving as a rapidly growing interdisciplinary field, progressing toward theoretical consolidation and cross-sector collaboration. Future research could address gaps in review articles and diversify geographic contributions
Impact of the integration of Artificial Intelligence tools in the elaboration of Master\u27s theses.
Introduction: The study presents the development and validation of a model of research skills based on artificial intelligence oriented to facilitate the elaboration of master\u27s theses in the Postgraduate Program of the Public University of El Alto (UPEA).Method: The research was conducted under a qualitative-quantitative approach at an explanatory level using a quasi-experimental design. The effectiveness of the intervention was evaluated in two phases: one was quantitative, through the application of standardized questionnaires at pre- and post-intervention moments, and the second corresponded to the qualitative, through the Delphi method with a panel of experts. Results: The quantitative findings demonstrated significant improvements in key areas such as problem formulation, information search and organization, and structuring of the theoretical framework, while the qualitative analysis highlighted the effective integration of methods and the importance of the ethical and responsible use of artificial intelligence. Conclusions: The combination of both techniques provided a comprehensive perspective of the research process, demonstrating that the incorporation of artificial intelligence tools not only optimizes efficiency and accuracy in thesis writing, but also strengthens students\u27 critical and analytical skills that are necessary to meet the challenges of knowledge generation in the digital era
Retention of pharmacological knowledge about analgesics and pain management
Introduction: pain is the main reason for consultation in usual clinical practice, which brings whit a series of comorbidities that ultimately affect the quality of life of those who suffer from it. Dedicating the necessary time to this topic and systematizing its appropriate management from the formative stage is essential to facilitate learning and long-term memorization. Objective: to determine the degree of retention of pharmacological knowledge about analgesics and to identify the main deficiencies in this regard. Methods: a descriptive pedagogical study that consisted of administering a 10 - question exam, containing the most relevant elements of the topic, to 52 medical students in their 5th year at Salvador Allende Faculty. Results: 82,7 % of the students passed. However, there were no grades of 5; only 11,5 % scored 4 points, and over 70 % scored 3. The main deficiencies were related to the safety of NSAIDs. There were also errors in topics related to pure analgesics and opioids. Conclusions: although promotion was good, the quality of knowledge retention about pain was low. The deficiencies found suggest the need to establish more effective teaching strategies to improve the teaching and learning of the topic
Rubric for evaluating teaching tasks: its contribution to the educational quality
Introduction: the quality education required for Sustainable Development implies supporting the development of cognitive skills. The objective of this work is to analyze the educational quality contribution of a rubric designed in the Department of Basic Biomedical Sciences, at the Salvador Allende School of Medical Sciences, to evaluate explanatory teaching tasks in the discipline of Biological Basis of Medicine.Methods: an instrumental, descriptive, mixed-methods approach was developed. A case study based on grounded theory was applied. Theoretical methods were used: analysis-synthesis, induction-deduction, historical-logical, and systems approach; empirical methods: document review and consultation, expert judgment, and focus group; and mathematical-statistical methods.Results: the designed rubric is made up for four descriptors: describe and explain, corresponding to logical intellectual skills, as well as the correct use of the spanish language and self-assessment, concerning to self-training skills; which were accepted as to the relevance of their content. It was clarified that the designed rubric constitutes a methodologic tool that promotes and evaluates the metacognitive performance of students.Conclusions: the rubric designed in the Department of Basic Biomedical Sciences, at the Salvador Allende School of Medical Sciences, to evaluate teaching tasks of the discipline Biological Basis of Medicine, contributes to the educational quality of the teaching-learning process by encouraging and appreciating metacognition, a cognitive skill required for self-regulation of learning. Its use is proposed in departmental research as an appreciative instrument of the development of self-regulation of learning
VR Prior Experience and Total Intention: Virtual Reality Art Interventions for Mental Health
Previous research on virtual reality interventions for mental health has largely used single-method designs, lacking comprehensive investigation into "total intention" and experiential variables. This original research examines the relationship between total intention and prior virtual reality (VR) experience among university students participating in VR art interventions for mental health support. Employing a dual-statistical approach—combining parametric (independent samples t-test) and non-parametric (Mann-Whitney U test) methods—the study analyzed data from 82 Chinese university students within a counseling context. Results revealed that participants with prior VR experience reported significantly higher usage intention (Mdn = 3.89) than those without experience (Mdn = 3.67; p < 0.05). These findings highlight the crucial role of prior VR experience in fostering acceptance and effective engagement with VR art interventions. The study suggests that integrating preliminary VR training may reduce psychological barriers and enhance intervention outcomes. This research advances understanding of key experiential factors influencing technology adoption in mental health contexts
Effectiveness of English Literature Material (ELM) Module for Indonesian Students throught Meaningful Learning
English literature played a vital role for non-native English speakers. It provided them with new experiences and insights, enhancing both their spoken and written global communication skills. These skills offered authentic experiences that helped the students to develop into English language teacher skills through meaningful learning in a controlled environment. But many universities in Indonesia still used classical ways. A new approach to learning English literature was urgent needed in the globalization era. So, this study was to analyze the effectiveness of the English literature material module for Indonesian students through meaningful learning to English teacher candidates. This was a quantitative paired research design. Fifteen students were involved in this study, involved in comparing two measurements, a pretest and a posttest taken from the same individual under different conditions. The results indicated that the module improved students’ English literary works in communicative ways through meaningful learning in the aspects of prior knowledge, critical analysis, and integration with related materials. In conclusion, the module quite effective to improve the students’ English literary works for students in higher education in Indonesia through meaningful learning. The study emphasized the importance of understanding students\u27 knowledge before giving new materials, creating trigger questions, and the ability to associate materials with other new concepts. Therefore, it was recommended that the module integrated by meaningful learning could be applied for foreign language students to improve their communicative skills through English literary works, so it could be beneficial in self-efficacy, self-critical analysis, and self-integration
The role of child psychology in the early detection of developmental difficulties: an educational worldview
Introduction: Child psychology was considered key to early identification of difficulties in comprehensive development. Its theoretical and practical contributions provided education with elements to anticipate cognitive, emotional, and social risks.Method: A bibliometric study was conducted based on 84 indexed sources retrieved from the Scopus Elsevier database. The analysis applied co-occurrence networks, thematic matrices, and a qualitative hermeneutic thematic approach. An iterative process was followed to generate categories and themes, combining deductive and inductive strategies. Inter-coder reliability was ensured using Cohen’s κ and Krippendorff’s α.Results: The findings revealed that child psychology is strengthening its position as a fundamental discipline in recent literature. Co-occurrence networks showed connections between child development, mental health, and education. The studies examined emphasised the importance of sociocultural theory, attachment theory, and risk factors associated with anxiety, depression, and family contexts. It was noted that early detection should be managed as an interdisciplinary and longitudinal process.Conclusions: The confirmed analysis showed that child psychology has good resources for education. These serve to recognise early signs and avoid learning problems. It was concluded that knowing this in teacher training is important, as it helps to prevent problems and teach better. Furthermore, more Latin American work on the subject is needed for a broader debate
Ethics and Artificial Intelligence in Education: A Needs Analysis for Developing a Responsible AI Implementation Framework in the Classroom
The fast adoption of Artificial Intelligence (AI) in the education sector has brought great changes in the learning environment by means of intelligent tutoring systems, automated grading, adaptive learning, and learning analytics. Although these innovations improve personalization, efficiency, and inclusivity, these inventions also produce ethical dilemmas of data privacy, bias in algorithms, transparency, accountability, and equity. This paper will examine the needs and perceptions of the stakeholders with a view to coming up with a responsible framework for applying AI ethically in educational institutions. A quantitative strategy was used in a descriptive manner and comprised 100 stakeholders purposely selected; this includes teachers, students, administrators, and developers. The data were gathered using a master structured questionnaire that covered the issues of AI literacy, perceived ethical risks, perceived relevance of ethical principles, and predicted institutional structures. The findings have shown that the participants have a fairly good conceptualization of AI (mean = 3.9) and are highly aware of the risks of ethics and especially on data privacy (4.2) and accountability (4.3). Respondents anticipated high moral values like fairness, inclusiveness, transparency, and safeguarding of personal data, and they stressed the essence of institutional rules, technical guidelines, training, and inter-stakeholder cooperation to guarantee the responsible use of AI. These results demonstrate the pressing need to develop a context-sensitive ethical AI model that can strike a balance between technological innovation and human values, thus encouraging trust, equity, and quality in learning and providing policymakers and practitioners with capacity building, institutional governance, and participatory approaches to responsible AI implementation in learning settings
Self-assessment for career accreditation: An exploratory systematic review
Introduction: The growing concern about actions to improve the quality of health careers and the prominence that self-assessment for accreditation assumes in this sense demand a comprehensive and updated view of this process, but the researchers found the existence of recent systematized studies, which is why this research was carried out with the objective of identifying weaknesses and actions to improve the self-assessment process for accreditation of careers in health sciences as a strategy to promote compliance with quality standards. Methods: For this study, an exploratory systematic review was carried out applying the recommendations of the PRISMA 2020 guide to answer the question: How to contribute to the improvement of the self-assessment process for accreditation of careers in Health Sciences? The search for articles was carried out in Scielo, Scopus and ERIC limiting them to the English language between 2020 and May 2025. Results: The sample was made up of 11 studies, among the deficiencies found, theoretical and methodological gaps about the process and difficulties in involving the community in it stand out. Among the recommendations we have to increase training for actors and promote the active participation of all those involved. Conclusions: For the self-evaluation for career accreditation to be successful, knowledge is needed to allow its proper implementation
Gamification and digital environments in higher education: Enhancing motivation and experiential learning
The integration of gamification strategies into digital environments has transformed teaching and learning dynamics in higher education, fostering new forms of interaction and student motivation. This study aimed to analyze the relationship between digital gamification, academic motivation, and experiential learning among Latin American university students. An empirical, descriptive–correlational research design with a mixed-methods approach was implemented. A total of 300 students from various Latin American universities enrolled in virtual courses and 60 professors were interviewed via teleconferencing. Validated instruments were used, including the Self-Determination Scale (Deci & Ryan, 2008) and a tool based on Kolb’s (1984) experiential learning model, complemented by semi-structured interviews. The results revealed significant increases in intrinsic motivation, autonomy, and perceptions of active learning following the use of gamified tools such as badges, missions, and levels. Faculty members reported notable improvements in participation, feedback quality, and virtual classroom engagement. Overall, findings confirmed that digital gamification enhances student commitment, self-regulation, and meaningful knowledge construction, establishing it as an effective pedagogical strategy for contemporary higher education