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Permanent URI for this collectionhttps://hdl.handle.net/11285/345284
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- 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.
- Tecnologías abiertas e inclusivas en la complejidad del futuro de la educación: diseño de modelo basado en investigación(Facultad de Ciencias de la Educación, 2024-07-18) Ramírez Montoya, María Soledad; Álvarez Icaza Longoria, Inés; Weber, Joanne; Casillas Muñoz, Fidel Antonio Guadalupe; https://ror.org/03ayjn504Los entornos cambiantes plantean retos para la formación y, de manera muy especial, para la inclusión educativa de personas con dificultades auditivas y visuales. ¿De qué forma la educación abierta y las tecnologías digitales y flexibles pueden aportar vías para inclusión en el marco de la complejidad? El objetivo del estudio fue analizar posibilidades de educación abierta y tecnologías, por medio de identificar prácticas actuales, retos y posibilidades, con miras a proponer un modelo inclusivo y abierto en el marco de la complejidad para el futuro de la educación. El método fue diseño basado en investigación, donde se aplicaron cuestionarios a 390 participantes en el contexto de un programa de educación abierta e inclusiva. El análisis de datos dan cuenta de (a) prácticas actuales como libros electrónicos, cursos formativos y lenguaje de señas; (b) identificación de los retos de recursos educativos abiertos (REA) de calidad, políticas de apoyo a la inclusión y diversidad, y modelos de sostenibilidad de los REA, para desarrollar materiales digitales accesibles y abiertos, y (c) los componentes de un modelo educativo abierto para la inclusión que contempla elementos estratégicos para el futuro de la educación y tecnologías emergentes e innovadoras. El estudio pretende ser de valor para profesores, formadores, desarrolladores, tomadores de decisiones, interesados en nuevas posibilidades para la educación abierta e inclusiva.
- Financial literacy to develop complex thinking skills: quantitative measurement in mexican women entrepreneurs(Frontiers, 2024-07-03) Bayly Castañeda, Karla Patricia; Ramírez Montoya, María Soledad; Erdély Ruiz, Arturo; Montoya Bayardo, Miguel Angel; https://ror.org/03ayjn504; https://ror.org/01tmp8f25; Kristiawan, MuhammadThe objective of the study was to validate the construction of a financial literacy measurement instrument aligned with complex thinking competencies in Mexican women entrepreneurs. By means of the construct validation method, the content was validated by expert judgment, validation by exploratory and confirmatory factor analysis, as well as internal consistency by means of a pilot test applied to a sample of 189 participants. A highly valid and reliable version was obtained, organized in four dimensions with a total of 23 items. This study examines and estimates the determinants of financial literacy for the first time under the light of complex reasoning.
- Complex artificial intelligence models for energy sustainability in educational buildings(Springer Nature, 2024-07-01) Tariq, Rasikh; Mohammed, Awsan; Alshibani, Adel; Ramírez Montoya, María Soledad; https://ror.org/03ayjn504; https://ror.org/03yez3163Energy consumption of constructed educational facilities significantly impacts economic, social and environment sustainable development. It contributes to approximately 37% of the carbon dioxide emissions associated with energy use and procedures. This paper aims to introduce a study that investigates several artificial intelligence‑based models to predict the energy consumption of the most important educational buildings; schools. These models include decision trees, K‑nearest neighbors, gradient boosting, and long‑term memory networks. The research also investigates the relationship between the input parameters and the yearly energy usage of educational buildings. It has been discovered that the school sizes and AC capacities are the most impact variable associated with higher energy consumption. While ’Type of School’ is less direct or weaker correlation with ’Annual Consumption’. The four developed models were evaluated and compared in training and testing stages. The Decision Tree model demonstrates strong performance on the training data with an average prediction error of about 3.58%. The K‑Nearest Neighbors model has significantly higher errors, with RMSE on training data as high as 38,429.4, which may be indicative of overfitting. In contrast, Gradient Boosting can almost perfectly predict the variations within the training dataset. The performance metrics suggest that some models manage this variability better than others, with Gradient Boosting and LSTM standing out in terms of their ability to handle diverse data ranges, from the minimum consumption of approximately 99,274.95 to the maximum of 683,191.8. This research underscores the importance of sustainable educational buildings not only as physical learning spaces but also as dynamic environments that contribute to informal educational processes. Sustainable buildings serve as real‑world examples of environmental stewardship, teaching students about energy efficiency and sustainability through their design and operation. By incorporating advanced AI‑driven tools to optimize energy consumption, educational facilities can become interactive learning hubs that encourage students to engage with concepts of sustainability in their everyday surroundings.
