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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.
- 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.
- Importance of university students’ perception of adoption and training in artificial intelligence tools(MDPI, 2024-08-03) Vázquez-Parra, José Carlos; Henao Rodríguez, Diana Carolina; Lis Gutiérrez, Jenny Paola; Palomino Gámez. Sergio; https://ror.org/03ayjn504Undoubtedly, artificial intelligence (AI) tools are becoming increasingly common in people’s lives. The educational field is one of the most reflective on the importance of its adoption. Universities have made great efforts to integrate these new technologies into their classrooms, considering that every future professional will need AI skills and competencies. This article examines the importance of student perception and acceptance in adopting AI tools in higher education effectively. It highlights how students’ positive perceptions can significantly influence their motivation and commitment to learning. This research emphasizes that to integrate AI into university curricula successfully, it is essential to include its technologies in all areas of study and foster positivity among students regarding their use and training. This study’s methodology applied the validated instrument “Perception of Adoption and Training in the Use of Artificial Intelligence Tools in the Profession” to a sample of Mexican students. This exploratory analysis highlights the need for educational institutions to understand and address student perceptions of AI to design educational strategies that incorporate technological advances, are pedagogically relevant, and align with the students’ aspirations and needs.
- Simulation of vacuum distillation unit in oil refinery: Operational strategies for optimal yield efficiency(MDPI, 2024-08-02) Muhammad, Shahrukh Atta; Haris, Khan; Muhammad, Ali; Rasikh, Tariq; Ahmed Usman, Yasir; Muhammad Mubashir, Iqbal; Sullah Ud, Din; Jaroslaw, Krzywanski; https://ror.org/040gykh71; https://ror.org/048g2sh07; https://ror.org/03ayjn504; https://ror.org/0566yhn94Oil refineries play a crucial role in meeting global energy demands, and optimizing the efficiency of critical processes is vital for economic feasibility and environmental sustainability. Simulation is an essential tool for the optimization of valuable products. This work presents the rigorous simulation of a vacuum distillation unit (VDU) based on actual data from the vacuum distillation processes using Aspen HYSYS V10. The Peng–Robinson fluid package is used in this simulation, and an input assay with a standard density of 29 API_60 (879.8 kg/m3) is employed. True boiling point (TBP) assay data are the type that is being used. Methane, ethane, propane, i-Butane, n-Butane, i-Pentane, and n-Pentane are the components listed in the simulation. The research determines that achieving a yield capacity of 685 tons/h requires thirty stages in the atmospheric distillation unit and twelve stages in the vacuum distillation unit while operating at 420 °C temperature and 9 kPa pressure. Adjustments in the flash section temperature (FST) and steam flow rate (SFR) are proposed to enhance operational efficiency. Increasing the FST from 370 °C to 400 °C and adjusting SFR from 10 tons/h to 26 tons/h increases the Light Vacuum Gas Oil (LVGO) yield by 7.2% while elevating the FST from 400 °C to 430 °C and adjusting SFR from 10 tons/h to 26 tons/h enhances the High Vacuum Gas Oil (HVGO) yield by 7.4%. These optimization strategies offer a practical and effective approach for refineries to improve the economic benefits of vacuum distillation units. The implications of this research can act as a computational thinking exercise for higher education students considering the case study where only through changing the operational strategies can the yield be enhanced by 10.81% in the vacuum distillation unit of the oil refinery.
- Comparative multi-objective optimization using neural networks for ejector refrigeration systems with LiBr and LiCl working agents(Science Direct, 2024-08) Khanmohammadi, Shoaib; Ahmadi, Pouria; Jahangiri, Ali; Izadi, Ali; Tariq, Rasikh; https://ror.org/05hkxne09; https://ror.org/05hkxne09; https://ror.org/05vf56z40; https://ror.org/0091vmj44; https://ror.org/03ayjn504Education's evolution in the context of energy systems is essential for addressing sustainable energy challenges and developing a workforce equipped for future innovations, emphasizing both formal curricula and informal lifelong learning through successful energy case studies. As the global energy sector transforms to reduce carbon emissions and reliance on fossil fuels, innovations in renewable technologies like solar thermal are pivotal for promoting energy security and economic stability, supported by an educational foundation that fosters awareness and technical skills for sustainable development. Exposure to successful renewable energy systems, such as solar-powered refrigeration, offers an informal educational experience that enhances understanding and supports global educational goals, initiating with the innovative design and optimization of these systems using artificial intelligence (neural networks). Based on this formulation, the current article developed two sustainable energy systems by comparing the refrigeration cycles with two different operating fluids and various arrangements, and multi-objective optimization with an evolutionary genetic algorithm is performed for the proposed systems. The studied systems are refrigeration cycles using an ejector and without an ejector with two working fluids of lithium bromide and lithium chloride. The present work's main aim is to examine the working fluid and refrigeration system arrangements. Energy and economic modeling were performed for the proposed systems, and then parametric analysis and two-objective optimization were extracted. Parameters such as generator temperature, condenser temperature, absorber temperature, and evaporator temperature, which significantly impact the proposed system's performance, have been selected as decision parameters, and parametric analysis has been extracted for them. In addition to the mentioned parameters, diffusion mixing efficiency, nozzle efficiency, and heat exchanger have also been studied in the ejector asset system. To find the best values of decision variables, multi-objective optimization for both arrangements is conducted, and results are presented. The results have indicated that the refrigeration system using lithium chloride working fluid without an ejector achieves a coefficient of performance of 0.766 and a cost of 0.922 $/h at the optimal point, while the system with an ejector yields a higher coefficient of performance (1.047) and a slightly lower cost rate (0.991 $/h). The outcomes of this work can play a critical role for higher education institutions in advancing innovative solutions to pressing energy challenges. Lifelong learning, at the heart of educational innovation, can benefit from the integration of sustainable energy systems as a core component of informal education through the optimization of ejector refrigeration systems.
- 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.
- Relevance of objective and subjective profile: creative behavior assessment in higher education students(2024-07-19) Alvarez Icaza Longoria, Inés; Suárez-Brito, Paloma; Alvarez, Jaime; Molina-Espinosa, José Martín; https://ror.org/03ayjn504; https://ror.org/05qh38f12Creativity is a 21st Century skill. Promoting problem-solving and attending to global complex issues in formative learning experiences and professional endeavors is considered necessary. The assessment of creativity in higher education is a challenge itself due to few objective instruments for Spanish speakers and Latin populations considering this skill as key for current and future challenges. In addition to formal creativity training, which is based on curricula formed by a set of tools and processes, there is also the role of self-perception over this skill. The objective profile is the expected performance, while the subjective is seen as a self-declared ability. In this sense, having a proper assessment of creative behavior allows to align the intentions of institutions and educators toward an integrated professional profile in a multidisciplinary manner. In this study, the Creative Behavior Assessment Instrument was applied to pre-graduates from Creative Studies (CS; Design, Architecture, Digital Animation, and Communication) areas and other disciplines to answer three main research questions (1) Are CS students more creative than other discipline students?; (2) How does fluency vary between students from different disciplines?; (3) Is there coherence between the objective and subjective responses to the instrument? The methodological approach for this study is mixed methods, focusing on total score, visuospatial ability, fluidity, and self-perception. Results are discussed in terms of the difference shown by the students’ objective/subjective profiles in relation to their discipline, the relevance of promoting creativity in higher education, and the implications of individual differences regarding the subjective profile.
