Artículo
Permanent URI for this collectionhttps://hdl.handle.net/11285/345284
Artículo científico o editorial en una publicación periódica académica sujeto a revisión de pares. Cumple con los índices internacionales o bases de datos de amplia cobertura, como el listado del Current Contents, ISI WEB of Knowledge (http://isiknowledge.com/) e índice de revistas mexicanas de CONACYT (www.conacyt.mx/dac/revistas). Éstos indizan y resumen los artículos de revistas seleccionadas, en todas las áreas del saber.
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- Financial inclusion of vulnerable sectors with a gender perspective: risk analysis model with artificial intelligence based on complex thinking.(Springer, 2025-01-14) Medina-Vidal, Adriana; Alonso Galicia, Patricia Esther; González Mendoza, Miguel; Ramírez Montoya, María SoledadThe objective is to present a proposal for a gender-sensitive risk analysis model using artificial intelligence (AI) within the framework of complex thinking that provides access to opportunities, specifically for vulnerable populations such as women from underprivileged sections. This international non-parametric study highlights the vulnerability of this population in Mexico through a sample of 2787 women. The methodological design included data analysis, the postulation of a proposed model, and a validation method for the credit risk analysis model. There is a correlation between the level of schooling of impoverished and vulnerable women with the possibility of self-employment and selling a product or service. In the framework of complex thinking, the perception of innovative thinking is related to the level of education and innovative decision-making in professional projects. Women with a higher level of schooling tend to think about their professional projects systematically. Promoting complex thinking involves innovative educational practices to encourage critical, systemic, scientific, and innovative thinking in entrepreneurship and sustainable development. Integrating reasoning for complexity benefits women and contributes to economic and social growth in vulnerable regions. In contrast to other models, our credit risk analysis model uses AI and variables for gender, vulnerability, and complex thinking to detect patterns in women’s behaviors and attitudes in the venture start-up process. Our proposal is the starting point of many analyses to develop further about artificial intelligence based on complex thinking.
- Remaigining the future through the co-creation of social entrepreneurship in higher education: a multivariate prediction model approach(Emerald, 2024-12-10) Ramírez Montoya, María Soledad; Casillas Muñoz, Fidel; Tariq, Rashik; Icaza Longoria, Inés Álvarez; Portugués Castro, May; EGADE Bussines SchoolPurpose – This remastered analysis focuses on the impact of entrepreneurial interventions in higher education institutions (HEI), particularly in social entrepreneurship. The study evaluated the effectiveness of such interventions through a pre-and post-test approach, examining various skill sets in students. The primary goal was to analyze the influence of entrepreneurial training programs on students’ competencies in social entrepreneurship by analyzing changes in personal behavior, leadership, innovation, social value and management skills before and after the educational interventions. Design/methodology/approach – The study employed a quasi-experimental design, analyzing pre-and post-test results in three distinct social entrepreneurship training experiences. The sample consisted of 304 participants, providing a comprehensive view of the impact of these interventions. Findings – The main findings were: (1) Educational interventions in social entrepreneurship must emphasize strategies for self-awareness, emotional intelligence and personal development improvement. The analysis revealed significant improvements in these areas, indicating that targeted strategies in these domains are essential for enhancing the effectiveness of social entrepreneurship education. (2) The impact of educational interventions on these capabilities can be effectively evaluated using machine learning methods such as ordinary least squares (OLS) regression. This approach allows for the inclusion of variables such as gender, age or location, providing a comprehensive assessment of the interventions’ impact. (3) The interventions were particularly effective in improving students’ innovation and leadership competencies. The analysis demonstrated substantial enhancements in these areas, underscoring the success of the interventions in developing these critical skills. (4) The study highlighted the need for a more focused approach in future interventions, emphasizing the importance of management, social value and personal skills. Additionally, it pointed out the necessity of developing and utilizing appropriate tools to create and evaluate these interventions effectively. Practical implications – The study provides insights into improving educational interventions in social entrepreneurship to better develop essential skills in students. Originality/value – This research introduces a significant approach to educational interventions for educational communities and decision-makers by demonstrating the effectiveness of entrepreneurial training for competencies in innovation and leadership, which are crucial for societal and economic development.
- Fostering 4.0 digital literacy skills through attributes of openness: a review(Athabasca University, 2024-11-01) Chiappe, Andrés; Díaz Ramírez, Juan Manuel; Ramírez Montoya, María Soledad; https://ror.org/02sqgkj21; https://ror.org/03ayjn504During the last decade, a growing interest in open educational resources (OER) has developed among educational researchers worldwide. This trend involves the examination of possible effects over diverse learning domains such as the development of literacy and digital skills in the context of the fourth industrial revolution. To address this matter, a systematic literature review was conducted using PRISMA processes on 62 research articles published in high-impact peer-reviewed journals indexed in two major academic databases (Scielo and Scopus). Data collected during this literature review showed certain conditions that must be met to ensure a successful learning setup when OER are involved. Moreover, qualitative analysis revealed that certain attributes of openness are often more influential than others in the development of adequate literacy skills for the artificial intelligence era; also, there is an overall positive perception, from students and teachers alike, about the introduction of the attributes of openness and open materials into learning practices.
- Co-designing a financial literacy videogame: A participatory research-based approach in complex scenarios(ESIC 2024, 2024-10-13) Ramírez Montoya, María Soledad; Patiño Zúñiga, Irma Azeneth; Villalba Condori, Klinge Orlando; https://ror.org/03ayjn504This study examines the co-design of a financial literacy videogame as a pedagogical innovation aimed at fostering sustainable economic principles among university students. The co-design process and game development is informed by the needs and preferences of its end-users to ensure the game's educational content is relevant and impactful. This methodology brings together learners, educators, and game developers to co-design a financial literacy video game integrating educational technology and e-learning principles to create an inclusive, engaging learning environment. By simulating real-world financial dilemmas within the game's narrative, players experience firsthand the consequences of their choices, encouraging critical reflection on their personal and collective financial behaviors. Players navigate complex financial scenarios, promoting strategic thinking and responsible decision-making. The effectiveness of the game was assessed using a mixed-methods approach, evaluating financial knowledge, attitudes, and behaviors. Findings indicate participants demonstrated marked improvements in financial knowledge, and decision-making skills. The paper discusses the implications of these results, the potential of gamification in learning complex subjects, and the advantages of participatory design in creating meaningful educational experiences.
- Designing a digital ecosystem for complex thinking: Integrating open educational resources with sustainable development goals(ESIC 2024, 2024-10-13) Ramírez Montoya, María Soledad; Turpo Gebera, Osbaldo; https://ror.org/03ayjn504This paper presents an approach to sustainability education through the design and testing of a digital ecosystem integrating Open Educational Resources (OER) within complex learning environments. By employing OER in the pedagogical strategy, the study aligns with the United Nations' Sustainable Development Goals, aiming to ensure inclusive and equitable quality education. We examine how these resources, coupled with self-regulated learning strategies, prepare learners to address sustainability challenges. The research demonstrates the utility of OER in facilitating accessible innovative teaching and learning methods that can be customized to various educational contexts, supporting curriculum development that embeds sustainable principles. The role of OER in educational technology and e-learning is explored, emphasizing their potential to democratize access to education and enable a participatory approach to learning. The findings indicate that OER facilitate the acquisition of knowledge and skills pertinent to sustainability and empower learners to become proactive, self-directed participants in their educational journey towards sustainability. Finally, the paper offers insights into inclusive education practices that foster sustainability, thereby contributing to a more sustainable future.
- The transformative potential of Open Educational Resources for teacher education and practice(Taylor @ Francis Online, 2024-09-30) Cubides Lopez, Sandra Milena; Chiappe, Andres; Ramírez Montoya, María Soledad; https://ror.org/02sqgkj21; https://ror.org/03ayjn504Open educational resources (OER) have significant potential for transforming teacher education in developing countries, yet this remains underexplored. This systematic literature review analyzes 98 articles to understand the impact and innovative prospects of OER’s ‘openness’ attributes on teacher education over the past two decades. While free access to OER is a crucial benefit and contributes to teacher education programmes, effective OER use relies on the proper application of other attributes. Thus, adaptation allows tailoring of materials to specific needs, promoting flexibility and contextualised learning, which are vital for effective teacher education. Free access addresses barriers like the digital divide and ensures content quality and sustainability, enabling equitable access to educational resources. Collaborative practices through OER foster knowledge co-construction and the development of essential 21st-century skills for teachers. The combination of formal and informal learning and remixing enriches teacher education by integrating structured curricula with personalised learning paths. This broader view of ‘openness’ beyond mere access provides insights for reshaping teacher education programmes to be more innovative and responsive to the evolving needs of educators in developing countries. The findings offer guidance for policies and practices to cultivate a new generation of empowered, adaptive teachers through OER integration.
- Scale to measure student perception in collaborative online international learning experiences: design and validation(Frontiers, 2024-08-15) Rozo Garcia, Hugo Alexander; Alcántar Nieblas, Carolina; Ramírez Montoya, María Soledad; https://ror.org/03ayjn504Digital education is favorably positioned as a learning option; it employs various strategies, pedagogies, and methodologies, including collaborative online international learning experiences (COIL). This alternative, inherent to the digital era, transcends traditional educational methods by boosting technology to enhance learning experiences. Its given purpose is to improve learning gains, foster interculturality, internationalizing the curriculum, and strengthening skills necessary for the 21st century. Moreover, it can potentially address global educational needs that have not been fulfilled in the past.
- Crafting personalized learning paths with AI for lifelong learning: a systematic literature review(2024-08-07) Bayly Castañeda, Karla Patricia; Ramírez Montoya, María Soledad; Morita Alexander, Adelina; https://ror.org/03ayjn504; https://ror.org/00v8fdc16The rapid evolution of knowledge requires constantly acquiring and updating skills, making lifelong learning crucial. Despite decades of artificial intelligence, recent advances promote new solutions to personalize learning in this context. The purpose of this article is to explore the current state of research on the development of artificial intelligence-mediated solutions for the design of personalized learning paths. To achieve this, a systematic literature review (SRL) of 78 articles published between 2019 and 2024 from the Scopus and Web or Science databases was conducted, answering seven questions grouped into three themes: characteristics of the published research, context of the research, and type of solution analyzed. This study identified that: (a) the greatest production of scientific research on the topic is developed in China, India and the United States, (b) the focus is mainly directed towards the educational context at the higher education level with areas of opportunity for application in the work context, and (c) the development of adaptive learning technologies predominates; however, there is a growing interest in the application of generative language models. This article contributes to the growing interest and literature related to personalized learning under artificial intelligence mediated solutions that will serve as a basis for academic institutions and organizations to design programs under this model.
- Complex thinking model with sustainable development goals: Analysis with scenario-based learning for future education(EnPress Publisher, 2024-07-29) Rodés Paragarino, Virginia; Ramírez Montoya, María Soledad; Morales Maure, Luisa; Rosales Cisneros, Ricardo; https://ror.org/03ayjn504; https://ror.org/0070j0q91; https://ror.org/05xwcq167In the present and future of education, fostering complex thinking, especially in the context of the Sustainable Development Goals (SDGs), is critical to lifelong learning. This study aimed to analyze learning scenarios within the framework of a model that promotes complex thinking and integrated design analysis, to identify the contributions of linking design models to the SDGs. The research question was: How does the open educational model of complex thinking link to the SDGs and scenario design? The analysis examined a pedagogical approach that introduced 33 participants to the instructional design of real-life or simulated situations to develop complex thinking skills. The categories of analysis were the model components, the SDGs, and scenario designs. The findings considered (a) innovative design capacity linked to SDG challenges, (b) linking theory and practice to foster complex thinking, and (c) the critical supporting tools for scenario design. The study intends to be of value to academic, social, and business communities interested in mobilizing complex thinking to support lifelong learning.
- Complex competencies for leader education: artificial intelligence analysis in student achievement profiling(Taylor @ Francis Online, 2024-07-21) Ramírez Montoya, María Soledad; Morales Menendez, Ruben; Tworek, Michael; Escobar Díaz, Carlos Alberto; Tariq, Rasikh; Tenorio Sepúlveda, Gloria Concepción; https://ror.org/03ayjn504; https://ror.org/03vek6s52Future education requires fostering high-level competencies to enhance student talent, and artificial intelligence (AI) can help in profile analysis. The aim was to determine the variables that predict the GPA of students in the ‘Leaders of Tomorrow’ program through an integrated methodology of data analytics, machine learning modeling, and feature engineering in order to generate knowledge about the application of AI in social impact programs. This research focused on 466 graduates of a ‘Leaders of Tomorrow’. A regression analysis was performed to model the relationship between the dependent variable and multiple independent variables. The findings revealed: (a) Analysis of variance (ANOVA) demonstrated exceptional model fit for predicting ‘student.term_Grade Academic Performance (GPA)_program’ with an R-squared of 0.999; (b) Visual analysis showed that significant variables like age and origin-school Grade-Point Average (GPA) affect term GPA; (c) Kendall tau correlation revealed a positive correlation of origin-school GPA with term GPA and a slightly negative one with age; (d) Support Vector Machine (SVM) regression aligned actual and predicted GPAs closely, indicating high accuracy; and (e) Recursive Feature Elimination (RFE) identified ‘student_originSchool.gpa’ as the most predictive feature. This study is intended to be of value to academic communities interested in enhancing the academic profiles of students with complex competencies, as well as communities interested in applying AI in education for predictions that contribute to trajectories for training.
