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Complex thinking education for all (CTE4A) : a digital hub and school for lifelong learners. Intermediate Report Stage 2.
(Institute for the Future of Education, 2025-11) Tariq, Rasikh; Álvarez Icaza Longoria, Inés
This intermediate report presents the progress of the project Complex Thinking Education for All (CTE4A): A Digital Hub and School for Lifelong Learners, funded under the Challenge-Based Research Funding Program 2023 at Tecnológico de Monterrey. Building on the outcomes of Stage 1, Stage 2 consolidates the pedagogical, technological, and strategic components required for the development and deployment of the ComplexHub platform. The report documents advancements in course design for complex and computational thinking aligned with CONOCER standards, the integration of digital simulators, and the development of platform functionalities such as automated evaluation of open educational resources using artificial intelligence. It also highlights the creation of user profiles, peer review mechanisms, and pathways for personalized learning. Collaborations with international partners, including the Massachusetts Institute of Technology and King’s College London, and national institutions such as UNAM and UASLP, have strengthened the academic and technological scope of the project. Outcomes include 40 Scopus-indexed publications, funding applications, and pilot validation of instruments. Furthermore, the report details business model development, network formation, dissemination strategies, and adherence to legal, ethical, and accessibility standards. Overall, CTE4A demonstrates significant progress toward becoming a sustainable, AI-driven hub for lifelong learning and digital education. The complete list of members are: Rasikh Tariq, Inés Alvarez Icaza Longoria, Edgar Omar López Caudana, José Carlos Vázquez Parra, Leonardo David Glasserman Morales, Carlos Enrique George Reyes Cristina Sofia Torres Castillo, Carolina Alcantar Nieblas, Benito Javier Martínez Briones, Bertha Maria Aponte Babines, Alicia Garcia Blásquez, María Leticia Villasenor Zúñiga Jesús Ramirez, Hugo Alexander Rozo Garcia, Siria Yahaira Valenzuela Arvizu, Magally Martínez Reyes, Luis Magdiel Oliva Córdova, Iván Miguel García López, María Soledad Ramírez Montoya, Irma Azeneth Patiño Zúñiga, Daniela Abigail Hernandez Lopez, Gloria Concepción Tenorio Sepúlveda, Isolda Margarita Castillo Martínez.
Appendix 5: Entrepreneurial projects
(Institute for the Future of Education, 2024-11-11) Tariq, Rasikh; Hernández López, Daniela Abigail; Tecnológico de Monterrey
Appendix 5: Entrepreneurial projects. Technical report stage 4. Project E4C&CT: Ecosystem for scaling up computational thinking and reasoning for complexity.
Appendix 3. Consulting and training services
(Institute for the Future of Education, 2024-11-11) Tariq, Rasikh; Hernández López, Daniela Abigail; Torres Castillo, Cristina Sofia; Tecnológico de Monterrey
Appendix 3. Consulting and training services. Technical report stage 4. Project E4C&CT: Ecosystem for scaling up computational thinking and reasoning for complexity.
Appendix 6: Strategic partners for future funding entities.
(Institute for the Future of Education, 2024-11-11) Tariq, Rasikh; Torres Castillo, Cristina Sofia; Tecnológico de Monterrey
Appendix 6: Strategic partners for future funding entities. Technical report stage 4. Project E4C&CT: Ecosystem for scaling up computational thinking and reasoning for complexity.
Appendix 5. Research activities. Technical report stage 3. Project E4C&CT: Ecosystem for scaling up computational thinking and reasoning for complexity.
Tariq, Rasikh
Appendix 5. Research activities. Technical report stage 3. Project E4C&CT: Ecosystem for scaling up computational thinking and reasoning for complexity.
Appendix 3. Technological transfer. Technical report stage 3. Project E4C&CT: Ecosystem for scaling up computational thinking and reasoning for complexity.
Casillas, Fidel; Tariq, Rasikh
Appendix 3. Technological transfer. Technical report stage 3. Project E4C&CT: Ecosystem for scaling up computational thinking and reasoning for complexity.
E4C&CT: Ecosystem for scaling up computational thinking and reasoning for complexity. Progress report stage 3
Tariq, Rasikh; Ramírez Montoya, María Soledad
E4C&CT: Ecosystem for scaling up computational thinking and reasoning for complexity. Progress Report Stage 3.
Maisotsenko cycle for heat recovery in gas turbines: a fundamental thermodynamic assessment
Tariq, Rasikh; Caliskan, Hakan; Sheikh, Nadeem Ahmed
This paper reports the Maisotsenko's cycle-based waste heat recovery system with enhanced humidification to exploit the maximum waste heat recovery potential of the gas turbine. This research uses an integrated methodology coupling thermodynamic balances with heat transfer model of air saturator. The performance of the system is deduced which are assisted with sensitivity analysis indicating the optimal mass flow rate ratio (0.7–0.8) and pressure ratio (4.5–5.0) between the topping and bottoming cycles, and the air saturator split (extraction) ratio (0.5). The net-work output, energy, and exergy efficiencies of the system are found to be ≈58.39 MW, ≈55.85%, and ≈52.79%, respectively. The maximum exergy destruction ratios are found as 68.2% for the combustion chamber, 16.0% for the topping turbine, 5.7% for topping compressor, 4.9% air saturator. The integration of Maisotsenko's cycle-based waste heat recovery system with a comprehensive thermodynamic model, as demonstrated in this research, offers valuable insights into enhancing the efficiency, cost-effectiveness, and environmental impact of gas turbines. By presenting fundamental equations related to thermodynamic balances, this work serves as an invaluable educational resource, equipping future researchers and students with the knowledge and skills needed to advance the study of thermodynamics and sustainable energy solutions.

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