Digital library
Textbooks, references and open learning resources.
External
Del ágora a la nube: El destino de las humanidades en la era de la IA
Karles Hoffmann-Jaramillo; Carlos Flores-Murillo; Eduardo Baidal-Bustamante · Editorial Grupo AEA · 2025
Explora la evolución del pensamiento crítico desde la Antigua Grecia hasta la era digital, analizando el impacto de la inteligencia artificial (IA) en la educación y la sociedad. Se inicia con una comparación entre el Ágora ateniense, donde se gestó el debate filosófico y la democracia, y los entornos digitales actuales, donde el acceso a la información ha cambiado la forma en que aprendemos. Se resalta cómo la enseñanza de Sócrates, Platón y Aristóteles, basada en el diálogo y la argumentación, sigue siendo relevante para desarrollar el pensamiento crítico en un mundo saturado de datos. En la era digital, la IA ha transformado la educación mediante herramientas que personalizan el aprendizaje y facilitan el acceso a información. Sin embargo, también plantea riesgos como la dependencia tecnológica, los sesgos algorítmicos y la pérdida de autonomía intelectual. El libro enfatiza la necesidad de equilibrar el uso de la tecnología con metodologías pedagógicas que fomenten la reflexión y el análisis crítico. Otro desafío clave es la desinformación, impulsada por la sobreabundancia de datos y la rapidez con la que circula la información en redes sociales. Ante esto, se propone fortalecer la capacidad de los estudiantes para evaluar fuentes, cuestionar datos y construir conocimientos con base en el análisis riguroso. Finalmente, la obra concluye que el futuro de la educación no debe estar centrado solo en la tecnología, sino en la formación de ciudadanos críticos y reflexivos. La IA puede ser una aliada en este proceso, pero es fundamental preservar la esencia humanista del aprendizaje, asegurando que la educación siga siendo un espacio de cuestionamiento, creatividad y pensamiento autónomo.
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Coastal Dynamics
Judith Bosboom & Marcel J.F. Stive · Delft University of Technology
In the contents: 1.2.01: What is coastal engineering · 1.04: Examples of engineering applications · 7.2.3: Engineering applications
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Introductory Statistics
Barbara Illowsky & Susan Dean · De Anza College
This text follows scope and sequence requirements of a one-semester introduction to statistics course and is geared toward students majoring in fields other than math or engineering. The text assumes some knowledge of intermediate algebra and focuses on statistics application over theory. Introductory Statistics includes innovative practical applications that make the text relevant and accessible, as well as collaborative exercises, technology integration problems, and statistics labs.
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Biotechnology
Kareen Martin & Patricia Zuk · West Los Angeles College
In the contents: 01: Introduction to Biotechnology · 1.01: Definition and a Short History of Biotechnology · 1.02: Applications of Biotechnology
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Introductory Statistics
Barbara Illowsky & Susan Dean · De Anza College
This text follows scope and sequence requirements of a one-semester introduction to statistics course and is geared toward students majoring in fields other than math or engineering. The text assumes some knowledge of intermediate algebra and focuses on statistics application over theory. Introductory Statistics includes innovative practical applications that make the text relevant and accessible, as well as collaborative exercises, technology integration problems, and statistics labs.
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Introduction to Biosystems Engineering
Nicholas M. Holden, Mary Leigh Wolfe, Jactone Arogo Ogejo, & Enda J. Cummins · University College Dublin and Virginia Tech
In the contents: 02: Information Technology Sensors and Control Systems · 2.02: Visible and Near Infrared Optical Spectroscopic Sensors for Biosystems Engineering · 2.03: Data Processing in Biosystems Engineering
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Water 130: Waterworks Mathematics
Alvord and Blasberg · College of the Cayons
In the contents: 10: Engineering and Construction
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Introductory Statistics
Barbara Illowsky & Susan Dean · De Anza College
This text follows scope and sequence requirements of a one-semester introduction to statistics course and is geared toward students majoring in fields other than math or engineering. The text assumes some knowledge of intermediate algebra and focuses on statistics application over theory. Introductory Statistics includes innovative practical applications that make the text relevant and accessible, as well as collaborative exercises, technology integration problems, and statistics labs.
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From Growing to Biology: Plants
Gokhan Hacisalihoglu · Florida A&M University
In the contents: 1.30: How to Study STEM (Science Technology Engineering and Math)
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Mathematics for Computer Science
Eric Lehman, F. Thomson Leighton, & Alberty R. Meyer · Google and Massachusetts Institute of Technology
This text serves as an introduction to discrete mathematics, probability, and mathematical thinking for computer scientists with an interactive introduction to discrete mathematics oriented toward computer science and engineering. The subject coverage divides roughly into thirds: (1) Fundamental concepts of mathematics including definitions, proofs, sets, functions, relations. (2) Discrete structures: graphs, state machines, modular arithmetic, counting and (3) Discrete probability theory.
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EGR 1010: Introduction to Engineering for Engineers and Scientists
LibreTexts
In the contents: 04: What is engineering Who are engineers · 11: Historical case studies in Engineering · 12: Case Study on Nanotechnology
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Introductory Statistics
Barbara Illowsky & Susan Dean · De Anza College
This text follows scope and sequence requirements of a one-semester introduction to statistics course and is geared toward students majoring in fields other than math or engineering. The text assumes some knowledge of intermediate algebra and focuses on statistics application over theory. Introductory Statistics includes innovative practical applications that make the text relevant and accessible, as well as collaborative exercises, technology integration problems, and statistics labs.