This study was grounded in the spatial computational thinking model developed by the "3D Weather" project funded by the NSF STEM+C program. The model reflects a discipline-based perspective towards computational thinking and captures the spatial nature of computational thinking in meteorology and the reliance of computational thinking on…

A STEM education program entitled "Come rain or shine" implemented in a primary rural school in southern Greece as part of the "Diffusion of STEM (DI-STEM)" project and the results of its implementation are presented in this paper. The educational program deepened in weather education and intended to develop eight scientific…

The Fluid Earth (FE) is an interactive data visualization initially developed for learning about Earth's atmosphere in informal educational settings. In this study, we tested FE in middle school classes to assess student engagement in a formal educational setting. Using a quasi-experimental design, students were assigned to interact with the data…

E-learning is playing a significant and increasing role in elementary science education. The purpose of this study was to explore how primary Grade 3 students constructed an understanding of seasons through a series of interactive e-learning activities. One class of Grade 3 students from one local primary school was invited to participate in this…

Teaching students to make daily weather observations is one way educators assist them as they learn to dress appropriately. In addition, it provides a natural and developmentally appropriate link between science and other curriculum areas, such as literacy and language development. The "Next Generation Science Standards" (NGSS Lead…

Being able to characterize the size of raindrops is useful in a number of fields including meteorology, hydrology, agriculture and telecommunications. Associated with this article are data sets containing surface (i.e. ground-level) measurements of raindrop size from two different instruments and two different geographical locations. Students may…

Weather forecasting consists of two processes, model integration and analysis (data assimilation). During the model integration, the state estimate produced by the analysis evolves to the next cycle time according to the atmospheric model to become the background estimate. The analysis then produces a new state estimate by combining the background…

In this article, the authors present an inquiry-based approach to facilitate student understanding of the differences among common cloud descriptive characteristics through the use of a semi-dichotomous key developed by a former West Virginia state climatologist. The authors also demonstrate how students can analyze common class data sets that…

The collection and analysis of weather data is crucial to the location of alternate energy systems like solar and wind. This article presents a design challenge that gives students a chance to design a weather station to collect data in advance of a large wind turbine installation. Data analysis is a crucial part of any science or engineering…

A majority of secondary science teachers are found to include the topic of climate change in their courses. However, teachers informally and sporadically discuss climate change and students rarely understand the underlying scientific concepts. The project team developed an innovative pedagogical approach, in which teachers and students learn…

Weather is a topic that occurs many times in the standard course of study (NRC 1996) from elementary school through high school. The activity described in this article allows students to collect data on the questions that interest them about the weather, and learn from their peers about a range of other questions that were investigated. No matter…

This paper is an examination of a teacher professional development program in northeast Louisiana, that provided 30 teachers and their students with the technology, skills, and content knowledge to collect data and explore weather trends. Data were collected from both continuous monitoring weather stations and simple school-based weather stations…

"Shake, Rattle, & Roll" is a new program developed by The Actuarial Foundation with Scholastic, provides dynamic real-world math content designed to build student skills while showing students the relevance of math to understanding their world and planning for their future. Math skills are increasingly important for students. According to the U.S.…

In the atmosphere or on the ground, snow provides students with unique opportunities to discover winter weather patterns. Traditionally, when students study weather, it is limited to the collection of data one would see on a weather report. However, the interdisciplinary Students Synthesizing Snow data in Natural Objective Ways (SSSNOW) project…

Undergraduate students compared Next Generation Weather Radar (NEXRAD) estimates of storm total precipitation to measurements from a network of 20 rain gauges. Student researchers gained valuable experience in field data collection, global positioning systems (GPS), geographic information systems (GIS), Internet data access and downloading,…