Este libro describe un importante conjunto de habilidades clave que aumentan el aprendizaje mas profundo, la preparacion para la universidad y la carrera, el aprendizaje centrado en el estudiante y el pensamiento de orden superior. Estas etiquetas incluyen habilidades cognitivas y no cognitivas, como pensamiento critico, resolucion de problemas, colaboracion, comunicacion efectiva, motivacion, persistencia y aprender a aprender. Las habilidades del siglo XXI tambien incluyen creatividad, innovacion y etica que son importantes para el exito posterior y pueden desarrollarse en entornos de aprendizaje formales o informales. Este informe tambien describe como estas habilidades se relacionan entre si y con las habilidades y contenidos academicos mas tradicionales en las disciplinas clave de lectura, matematicas y ciencias. Educacion para la vida y el trabajo: Desarrollar conocimientos y habilidades transferibles en el siglo XXI resume los hallazgos de la investigacion que investiga la importancia de tales habilidades para el exito en la educacion, el trabajo y otras areas de responsabilidad adulta y que demuestra la importancia de desarrollar estas habilidades. en la educacion K-16. En este informe, se identifican caracteristicas relacionadas con el aprendizaje de estas habilidades, que incluyen desarrollo profesional docente, curriculo, evaluacion, programas extraescolares y extraescolares y centros de aprendizaje informal como exhibiciones y museos.

Education for Life and Work: Developing Transferable Knowledge and Skills in the 21st Century

Jeannette Wing’s influential article on computational thinking 6 years ago argued for adding this new competency to every child’s analytical ability as a vital ingredient of science, technology, engineering, and mathematics (STEM) learning. What is computational thinking? Why did this article resonate with so many and serve as a rallying cry for educators, education researchers, and policy makers? How have they interpreted Wing’s definition, and what advances have been made since Wing’s article was published? This article frames the current state of discourse on computational thinking in K–12 education by examining mostly recently published academic literature that uses Wing’s article as a springboard, identifies gaps in research, and articulates priorities for future inquiries.

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Computational Thinking in K–12 A Review of the State of the Field

Science and mathematics are becoming computational endeavors. This fact is reflected in the recently released Next Generation Science Standards and the decision to include “computational thinking” as a core scientific practice. With this addition, and the increased presence of computation in mathematics and scientific contexts, a new urgency has come to the challenge of defining computational thinking and providing a theoretical grounding for what form it should take in school science and mathematics classrooms. This paper presents a response to this challenge by proposing a definition of computational thinking for mathematics and science in the form of a taxonomy consisting of four main categories: data practices, modeling and simulation practices, computational problem solving practices, and systems thinking practices. In formulating this taxonomy, we draw on the existing computational thinking literature, interviews with mathematicians and scientists, and exemplary computational thinking instructional materials. This work was undertaken as part of a larger effort to infuse computational thinking into high school science and mathematics curricular materials. In this paper, we argue for the approach of embedding computational thinking in mathematics and science contexts, present the taxonomy, and discuss how we envision the taxonomy being used to bring current educational efforts in line with the increasingly computational nature of modern science and mathematics.

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Defining Computational Thinking for Mathematics and Science Classrooms

Review on teaching and learning of computational thinking through programming

Engineering education research (EER) has been on the fast track since 2004 with an exponential rise in the number of Ph.D.s awarded and the establishment of new programs, even entire EER departments. The National Research Council’s Discipline-Based Education Research (DBER) report (National Research Council, 2012) captures the state-of-the-art advances in our understanding of engineering and science student learning and highlights commonalities with other science-based education research programs. The DBER report is the consensus analysis of experts in undergraduate education research in physics, chemistry, biology, geosciences, astronomy, and engineering. The study committee, chaired by Susan Singer, also included higher education researchers, learning scientists, and cognitive psychologists. A central aspect of the DBER report is the focus on and application of research in the education, learning, and social-behavioral sciences to science and engineering curricula design and teaching methods. Froyd, Wankat, and Smith (2012) identified five major shifts in engineering education in the past 100 years: 1. A shift from hands-on and practical emphasis to engineering science and analytical emphasis 2. A shift to outcomes-based education and accreditation 3. A shift to emphasizing engineering design 4. A shift to applying education, learning, and social-behavioral sciences research 5. A shift to integrating information, computational, and communications technology in education

Discipline-Based Education Research: Understanding and Improving Learning in

1 On behalf of NASA’s Mars Exploration Program, this lesson was prepared by Arizona State University’s Mars Education Program, under contract to NASA’s Jet Propulsion Laboratory, a division of the California Institute of Technology. These materials may be distributed freely for non-commercial purposes. Copyright 2014; 2012; 2010; 2000. Last edited: April 24, 2014 Marsbound! Mission to the Red Planet

David Gillam

Papers

A Framework for K-12 Science Education: Practices, Crosscutting Concepts, and Core Ideas