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For students to make connections in algebraic thinking in problem solving situations, it is important they learn to use algebra symbolism to represent known and unknown information. To this end they must express problem solving situations as linear, quadratic, or exponential models. This way of thinking also requires students to model, represent, analyze, and generalize contextualized problems in a variety of problem solving situations as they begin to think algebraically.

Learning science and math is normally thought of as committing to memory facts and procedures. Because of this we tend to perceive the best way to teach is through rote memorization of ideas, theories, and models. As a consequence, students experience little opportunity to develop a real understanding of what they are expected learn. Our challenge is to craft strategies which allow student interactivity within lessons. Student involvement beyond memorization is an essential building block for learning science and math.

What is Wolfram Alpha? It is a supercomputing brain. It provides calculates and provides comprehensive answers to most any science or math question. Unlike other search sources, you and your students can ask questions in plain language or various forms of abbreviated notation. Contrary to popular belief, Wolfram Alpha is not a search engine. Unlike popular search engines, which simply retrieve documents based on keyword searches, Wolfram computes answers based on known models of human knowledge. It provides answers which are complete with data and algorithms, representing real-world knowledge.

Daily summary of the stories, articles, and resources for teaching K-12 science and math.