Unifying Concepts and Processes in Science

Explanatory Framework Across Science Disciplines Science is a way of knowing, a process--- it is a systematic way of looking at the world and how it works. This competency focuses on how science uses a regular, consistent method of collecting and reporting data about scientific phenomena. Science is a way of organizing observations and then seeking patterns and regularity in order to make sense of the world. In science we organize evidence, create models, and explain observations in a logical form. We make predictions and hypotheses and test our predictions and hypotheses through controlled experimentation, meaning all variables of the experiment remain constant except for the variable being tested. We repeat experiments multiple times and seek constancy in our finding in form and /or faction. We seek patterns and consistency in our observations and data in order to construct explanations and make new predictions.

Los maestros deben de estar seguros que los estudiantes empiecen a usar el vocabulario científico adecuado para añadir precisión a la adquisición científica y evitar mal interpretaciones. Generalmente se debe explicar el vocabulario antes de empezar un experimentos o una clase. Esto permitirá un mejor entendimiento y desenvolvimiento cuando los niños estén realizando actividades científicas manuales. La explicación del vocabulario ayuda sobre todo a los ELL los cuales pueden realizar acciones sin recurrir a la interpretación. Models: Models are representations of the natural world and universe in order to help better understanding how something appears, its form and its function. For example, we may make models of the solar system, cells, or an atom to help us better explain its form and function and interactivity with other structures. Scientific Vocabulary and Scientific Model:

Cuando los alumnos completen sus experimentos, los maestros deben modelar y analizar los datos obtenidos para contestar las preguntas o demostrar sus hipótesis inclusive antes de que los experimentos empiecen. Para ello, los estudiantes deben representar esos datos en tablas o gráficos que les permitan visualizar mejor lo que encuentran en sus experimentos. Data Analysis