Group items tagged

A great resource for Math, Chemistry, Astronomy, Physics, and biographies of great scientists. A Wolfram-Alpha Project.

Lilja: a bouquet of stories about the Earth - blog by an astrophysicist and climate scientist

Research shows that students have difficulty achieving deep understanding of many fundamental science concepts, for instance, the nature of matter, pressure, density, and electrical circuits to name but a few. After students have presumably learned the scientific explanations, they often revert back to their initial explanations. The Understandings of Consequence Project has demonstrated that part of the problem arises from differences in how students and scientists think about cause and effect. Scientific explanations often require students to structure knowledge in ways that contradict their expectations about the nature of how causes and effects behave. Such explanations can involve: causal mechanisms that are inferred or abstract; causal patterns that extend beyond linear and unidirectional to cyclic, reciprocal, and non-sequential; correspondences between causes and effects that are in various respects probabilistic; and causal agents that are decentralized and involve aspects of emergence. These are ways of thinking that students typically are not familiar with. Thus students attempt to assimilate information about complex concepts into simplistic causal structures which ultimately distort the information. In order to achieve deep understanding of scientific explanations, students need to learn the levels of these dimensions that fit the level of explanation needed. We have developed a taxonomy of causal models to guide these teaching and learning efforts. We have also developed a taxonomy of epistemological "moves", such as comparing more than one model and being alert to possible gaps in one's explanation, that serve scientific inquiry and lead to more complex conceptions.

science education: Chickscope - Using computers in the classroom with access to the Internet, students and teachers are able to access data generated from the latest scientific instruments. The goals include an increased understanding of the process of gathering scientific data and the opportunity to interact with scientists from several disciplines and students in other classrooms The access to unique scientific resources and expertise provides motivation for learning science and mathematics and stimulates interest in the scientific world.

Biology: play Foldit and help scientists solve major challenges while you solve puzzles

John Seely Brown: "Even when children are high achievers and facile with new technology, many seem gradually to lose their sense of wonder and curiosity, notes John Seely Brown. Traditional educational methods may be smothering their innate drive to explore the world. Brown and like-minded colleagues are developing the underpinnings for a new 21st century pedagogy that broadens rather than narrows horizons. John Seely Brown, former chief scientist at Xerox, has morphed in recent years into the "Chief of Confusion," seeking "the right questions" in a range of fields, including education. He finds unusual sources for his questions: basketball and opera coaches, surfing and video game champions. He's gathered insights from unorthodox venues, and from more traditional classrooms, to paint quite a different picture of what learning might look like. The typical college lecture class frequently gathers many students together in a large room to be 'fed' knowledge, believes Brown. But studies show that "learning itself is socially constructed," and is most effective when students interact with and teach each other in manageable groups. Brown wants to open up "niche learning experiences" that draw on classic course material, but deepen it to be maximally enriching. In basketball and opera master classes, and in architecture labs, he has seen how individuals become acculturated in a "community of practice," learning to "be" rather than simply to "do." Whether performing, creating, or experimenting, students are critiqued, respond, offer their own criticism, and glean rich wisdom from a cyclical group experience. Brown says something "mysterious" may be taking place: "In deeply collective engagement in processes...you start to marinate in a problem space." Through communities of practice, students' minds "begin to gel up," even in the face of abstraction and unfamiliarity, and "all of a sudden, (the subject) starts to make se

"Increasingly, scientific breakthroughs will be powered by advanced computing capabilities that help researchers manipulate and explore massive datasets. The speed at which any given scientific discipline advances will depend on how well its researchers collaborate with one another, and with technologists, in areas of eScience such as databases, workflow management, visualization, and cloud computing technologies. In The Fourth Paradigm: Data-Intensive Scientific Discovery, the collection of essays expands on the vision of pioneering computer scientist Jim Gray for a new, fourth paradigm of discovery based on data-intensive science and offers insights into how it can be fully realized."

Science 2.0