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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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- Design of an Operations Management System for Continuous Improvement for Manufacturing Plants(2025-12-04) Enrique Noche RodriguezThis thesis develops an integrated operational system for continuous improvement in manufacturing environments. The system is based on seven connected elements derived from Lean Manufacturing principles: Mission, Vision, and Values (MVV); Change Acceleration Process (CAP); Sociometry and Leadership Networks; Managing for Daily Improvements (MDI); Value Stream Mapping (VSM); Transfer Function Analysis; and Pulse Meetings. Together, these components form a structured approach that connects culture, leadership, process visibility, and analytical tools into one framework designed to improve operational performance. An extensive literature review was conducted using the Scopus and ScienceDirect databases, along with several specialized books on Lean Manufacturing, Value Stream Mapping, and Change Management. The first filter used the keyword “Lean Manufacturing,” generating 157 results, which were later refined using the seven elements mentioned above. A total of 53 relevant sources were selected for detailed analysis. The review showed that none of the identified studies combined all seven elements into a single operational system, confirming the originality and relevance of this research. Each chapter of the thesis explores one of these seven elements and explains how they work together as a continuous improvement system. The proposed framework demonstrates how Lean can be implemented not only as a set of tools, but as a complete organizational model that aligns purpose, leadership, and daily management. The system aims to strengthen performance in Safety, Quality, Delivery, Cost, and Engagement (SQDCE), while promoting learning, accountability, and sustainable growth. This work contributes a new perspective to Lean research by presenting a comprehensive and practical model for achieving continuous improvement in manufacturing operations. It serves as a guide for organizations seeking to integrate culture, leadership, and process management into a single system for operational excellence.
- User experience measurement in design-based research on online educational platforms: contextualization of real-world environments within sustainable development goals for computational thinking(SAGE Publications, 2025-09-15) Tariq, Rasikh; Ramírez Montoya, María Soledad; Awotwe, Tabbi Wilberforce; Fernández Castro, Verónica; Martínez Reyes, Magally; Novak, AngelaThe importance of User Experience Measurement allows understanding how experiences can be optimized to meet functional and emotional needs, complemented with Design-Based Research to scale the redesign of educational platforms, four online educational platforms presented are powered by Artificial Intelligence and educational data mining to offer a tailored learning experience, combining computational thinking with Sustainable Development Goals. We present the analysis of responses of 1,573 users, which yield elements of improvement that will be implemented in the redesign. To measure User Experience of the platform, a nonexperimental quantitative analysis was carried out, using a Feedback survey based on a Likert-scale instrument, measuring perceptions: Emotional impact, Usability, and Satisfaction. The transcendence of this proposal demonstrates good practice in documenting experiences with the redesign of educational platforms that incorporate Artificial Intelligence and data mining, thereby opening a gap in Research on the quality of assessments and scaling of this approach.
- Driving complex thinking and technological entrepreneurship with artificial intelligence: a mixed methods study.(Elsevier, 2025-09) Álvarez Icaza Longoria, Inés; Martínez Arboleda, Antonio; Miranda Mendoza, Jhonattan; Suárez Brito, Paloma; Ramírez Montoya, María Soledad; Tecnológico de Monterrey; Xiaoyang ZhouAI technologies offer unique capabilities that enhance collaboration and creativity among students by providing novel insights, generating diverse perspectives, and triggering the development of innovative thinking as a sub-competency of the mega-competency of complex thinking. Regarding entrepreneurial skills development, applying AI-powered tools, such as natural language processing on digital educational platforms, allows student to engage in dynamic ideation processes for entrepreneurial projects with social, technological, and scientific approaches. This article explores the application of artificial intelligence (AI) as a valuable resource for fostering creative idea generation within co-creation strategies for university students. In a mixed-method analysis, we obtained valuable information regarding engagement through co-creation approaches. This paper describes the early implementation stages of the introductory course in technological entrepreneurship, applying the educational platform OpenEdR4C in a hybrid workshop with a group of 20 students in a public higher education institution in central Mexico, this being the first group of >900 people reached during 2024. The findings show that (a) the students are prone to use and explore AI tools in a natural and immediate manner, (b) interdisciplinary collaboration was effectively promoted through co-creation strategies, and (c) training the tool is crucial to keep engagement and ideas fluency. This is a contribution to the exploration to open new opportunities for interdisciplinary collaboration, experiential learning, and knowledge co-production, ultimately empowering students to develop innovative solutions to complex societal challenges.
- Generative artificial intelligence in education: a systematic analysis of opportunities, challenges, and responses(Taylor & Francis, 2025-08-04) García López, Iván Miguel; Ramírez Montoya, María Soledad; Molina Espinosa, José Martín; Tecnológico de MonterreyGenerative artificial intelligence (GenAI), exemplified by tools such as ChatGPT, is transforming the educational field by offering innovative solutions for the personalization of learning, student motivation, and the optimization of pedagogical processes. The core research question is: How is GenAI transforming educational processes, and what are the challenges and opportunities associated with its implementation? To answer it, a systematic literature review (SLR) was conducted, analyzing recent studies that address applications, policies, and limitations of AI in education. The main findings highlight three key constructs: personalization of learning, which improves academic performance through adaptive interventions; educational innovation, which boosts motivation through interactive and gamified environments; and the need for ethical and inclusive regulation, which guarantees transparency and equity in the use of these technologies. In addition, gaps were identified in institutional policies and existing legal regulation, evidencing the urgency of updating them to respond to emerging challenges. The added value of this study lies in its holistic and comprehensive approach, which connects pedagogical applications, ethical challenges, and regulatory policies, proposing concrete recommendations for the responsible and effective implementation of AI in educational contexts.
- Measuring digital transformation in education 4.0 with DT-Smarty: valid and reliable model(Springer, 2025-04-23) González Pérez, Laura Icela; Enciso González, Juan Antonio; Vicario Solórzano, Claudia Marina; Ramírez Montoya, María Soledad; Tecnológico de Monterrey; Universidad Autónoma de Nuevo León; Dirk IfenthalerValidated instruments enable strategic decision-making in an increasingly complex tech- nological environment. Higher Education Institutions (HEIs) should have data measuring technological maturity and readiness for cyber-physical environments, crucial to leading digital transformation and sustainable development. This study presents the validation of an instrument designed to assess academicians’ perceptions of the technological maturity and digital transformation readiness of HEIs. The scale dimensions were constructed and vali- dated in three steps: (1) operationalization of the study variables and scale development, (2) content validation through a nine-expert judgment panel with Aiken’s V, and (3) factor exploratory analysis (EFA) and reliability analysis using Cronbach’s Alpha method. The validation yielded three main findings: Aiken’s V coefficient yielded a value of (>0.82), indicating substantial agreement for the content evaluation of nine experts; reliability test- ing produced a Cronbach’s alpha of .957, demonstrating excellent internal consistency. The Kaiser–Meyer–Olkin (KMO) measure was .919, confirming the questionnaire’s suitability for 19 items. Four critical dimensions were established: (1) Cyber-Physical Systems, (2) Educational platforms and data and analytics, (3) Organizational platforms, and (4) Conti- nuity and security plans. These results validate the instrument as a robust tool for diagnos- ing digital maturity in university contexts, effectively capturing the proposed dimensions essential for educational innovation. The future work to evolve this instrument could shed light on the roadmap for incorporating technological enablers, aligning vocational training with the challenges of Industry 4.0, and supported by predictive AI models that allow the creation of solid governance to lead the digital evolution.
- A look at sustainability through the lens of the sustainable development goals and education 5.0: A systematic review of the literature(Journal of Social Studies Education Research, 2025-03-31) Ramírez Montoya, María Soledad; Tariq, Rasikh; Rozo García, Hugo Alexander; Casillas Muñoz, Fidel; Tarman, BulentWe discuss a new construct called Industry 5.0, which has infiltrated the education sector, enabling us to explore Education 5.0. This concept is based on the use of advanced technologies that enable it to address global issues in contemporary society, many of which are related to sustainability. In line with the above, the aim of this research was to reveal the possible advances that have been made in Education 5.0 and its relationship with Sustainable Development Goals, especially sustainability, to achieve this, a systematic literature review was carried out, analyzing 92 articles from the Web of Science (WoS) and Scopus databases. The analysis was carried out through research questions that allowed the documentary corpus to be explored, organized, and segmented in order to focus on three elements How sustainability has been approached by Education 5.0, the possible challenges it faces in working toward sustainability in the immediate future, and finally, a characterization of the publications. The results take into account that: a) the management of education and its relationship with industry 5.0 seems to be the favorite topic when SDGs are addressed; b) the impact on sustainability for 5.0 technologies is diverse, ranging from facilitating intelligent resource management to refining teaching methods, raising awareness of sustainability, improving collaboration and promoting virtuality; c) SDGs is the topic less addressed in the literature in the margin of Education 5. 0; d) Most of the authors agreed that the main challenge is the widespread adoption of technologies in Education 5.0. The review concludes that the emergence of Education 5.0 introduces technological advances accentuated by a human-centered vision. However, it is urgent that institutions adopt an inquisitiveness about quality education, the achievement of SDGs, and the sustainability of education to amplify sustainable key competencies, such as creativity and human-centered thinking.
- Utilization of locally sourced waste fats for biodiesel production: Experimental characterization and environmental life cycle assessment(Elsevier, 2025-02-08) Muhammad Aqil, Khan; Nadeem Ahmed, Sheikh; Khan Zaib, Jadoon; Abubakr, Ayub; Tabbi, Wilberforce Awotwe; Rasikh, Tariq; Manuel Garcia PerezThis study presents the production, chemical characterization, and life cycle assessment (LCA) of biodiesel derived from various local waste feedstocks using experimental setup. Biodiesel was produced via transesterification in a 50-L batch reactor using oils sourced from a five-star restaurant (A), three-star café (B), rancid palm oil (C), and chicken feather oil (D). Fourier Transform Infrared Spectroscopy (FTIR) was used for identification of functional groups, while gas chromatography-mass spectrometry (GC-MS) analyzed fatty acid methyl ester (FAME) composition, revealing key variations such as Hexadecanoic acid (C16:0) and Octadecenoic acid (C18:1). Type A biodiesel exhibited the highest saturation, while Types B and C contained more unsaturated FAMEs, influencing their heating values. Conversion efficiencies were significantly influenced by the acid values of the feedstocks, with a maximum yield of 85 % achieved for a sample with an acid value of 3.5 mgKOH/g and a heating value of 35.8 MJ/kg. LCA performed using Simapro V9.5.0.2 demonstrated that biodiesels from Types A, B, C, and D reduced carbon footprints by 70 %, 64 %, 63 %, and 65 %, respectively, compared to fossil diesel. Feedstocks with lower free fatty acid (FFA) levels resulted in lower environmental impacts, while extensively reused cooking oils with higher FFA values contributed to increased carbon footprints. This study underscores the potential for scalable biodiesel production from waste resources, aligning with global and regional sustainability goals.
- Analyzing the parenthood of artificial children in fiction films: Chappie & A.I. artificial intelligence(2025-02-01) Arriola Mendoza, Jorge; Maldonado Gómez, Ana Lucía; Serrano Bosquet, Francisco Javier; Valerio Ureña, GabrielCinema has long reflected social opinions on topics like Artificial Intelligence. Analyzing sequences from Chappie (2015) and A.I. Artificial Intelligence (2001), a discourse analysis examined parenthood through developmental psychology, focusing on attachment theory, parenting styles, post-adoption circumstances, and child characteristics. The films show varied discourses: attachment styles are mostly secure and dismissive-avoidant, while parenting styles are generally authoritarian with nuances. Post-adoption circumstances and child characteristics significantly influence the relationship between parents and the artificial child. Society views the development of AI towards self-awareness positively and even expects it to happen.
- Reading for all implementing public policies: Quantitative method and process evaluation in early literacy.(Elsevier, 2025-01-14) Honorato Errázuriz, Jesús; Bastidas Schade, Valentina; Ramirez Montoya, María Soledad; EGADE Business SchoolLearning to read in the first grade is essential for reducing educational inequalities, highlighting the need to evaluate and enhance reading programs. This study examines "Plan Leo Primero," an innovative national initiative to ensure that all first-grade students in Chile effectively learn to read and comprehend texts. A total of 715 educational stakeholders—including principals, technical leaders, teachers, and guardians—participated in the evaluation, which used validated questionnaires across two regions of the country. The study employed a quantitative and descriptive methodological approach to evaluate the implementation process of the program, fidelity, and impact on literacy outcomes. Despite challenges posed by the COVID-19 pandemic, such as reduced student attendance, shorter implementation periods, and limited resources, the findings indicated successful program implementation with significant improvements in first-grade literacy. Key results included high acceptance and frequent use of the program’s instructional guides and pedagogical tools by teachers, widespread adoption of structured methods aligned with cognitive theory, enhanced teachers’ digital competencies, and strong engagement from guardians in reading activities. Grounded in action theory, the study emphasizes the alignment between program strategies, stakeholder participation, and systemic actions, fostering sustainable literacy progress. The process evaluation identified areas for improving program fidelity, demonstrating that structured evaluation frameworks ensure robust implementation and open avenues for future research. Future projections include assessing the use of technology and communication tools and promoting the social appropriation of knowledge among all stakeholders to drive inclusive and impactful literacy reforms in Chile and the broader Spanish-speaking world.
- 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.