![]() ![]() ![]() That’s definitely not the case with these wireless probes and SPARKvue. I can’t tell you how many hours I’ve spent trying to get older probes connected to a computer and actually working with some piece of complicated software. Because of this, students may have difficulty obtaining accurate measurements for experiments involving multiple sensors, like acid-base titrations and kinematic motion labs. Both software choices allow students to adjust the duration and sampling rate of data collection, but these settings are applied uniformly to all sensors. In addition to these options, Graphical Analysis Pro users may also choose to open an experiment file by downloading it from Vernier’s website. Graphical Analysis gives students the choice to collect real-time sensor data or enter measurements manually. This extra control allows students to increase a sensor’s sampling rate to capture fast changes, like collisions, or decrease the sampling rate to conserve battery during long-term logging experiments. Data sampling rates are automatically determined based on the connected devices, but can easily be adjusted to optimize the performance of individual sensors. Teachers may also choose to have students work within a configured PASCO Experiment file by selecting a title from the Welcome Screen. When starting SPARKvue, students can choose to collect data in real time, enter measurements manually, or establish settings for remote data logging. This app has the potential to revolutionize the way that science is taught for the 21st century learner. SPARKvue takes data collection to an exciting new place, and better yet, manages to do so for a wide variety of disciplines and grade levels. Both software options help structure science experiments by providing students with a standardized template for data collection, visualization, and analysis. ![]() Graphical Analysis Pro introduces a video display that allows an imported video to be synced with sensor data, which can be helpful for reviewing experiments. It provides standard graph, table, and meter displays that work well for most science courses. Graphical Analysis is designed specifically for data collection, visualization, and analysis with Vernier sensors. This all-in-one approach enables science students to streamline experiments for deeper learning, while also equipping STEM and after-school programs with the tools they need to code, create, and explore. It provides a powerful all-in-one platform with intuitive tools for data collection, visualization and analysis, as well as coding and collaboration. SPARKvue is uniquely designed to deliver the features educators love within a framework students can easily use. png of your experiment page to export or print.Ĭreate digital student journals with interactive images, questions, and data displays.Īdd multiple choice questions to an experiment.Īdd free response questions to an experiment.Ĭreate student journals that span multiple pages. Participants can be in the classroom or learning remotely.Įducators can collect data in a file, then share it with students to analyze on their own devices. Shared Sessions: Students and educators can collaborate in real time by streaming data from one device to all participants in a Shared Session. (e.g., turn a light on when the room goes dark.)Īccess dozens of student-ready coding activities, complete with teacher documents and sample code.Ĭollaboration, Data Sharing, and Remote Learning Incorporate measurements from multiple sensors into a single program.Ĭontrol external devices using data from one or more compatible sensors. Use Blockly code to control data collection, visualization, and analysis. Use code to control how sensor data is displayed (optional).Ĭreate programs that respond to real-time sensor data. GIS Mapping: Tag sensor measurements with GPS data, and display the measurement locations on a map.Ĭreate calculated columns: Enter custom expressions or use the expressions available in the app.Ĭalculate statistics for selected data sets (e.g., min., max., mean, standard deviation, etc.).Īpply a linear or curve fit to graphed data.Ĭreate multiple pages to organize experimental data. Use a combination of tables, graphs, meters, and text to optimize your experimental dashboard. Program time-based or event-based start/stop conditions.ĭisplay data in a meter, graph, or table.ĭisplay data in a FFT, bar graph, or oscilloscope. Collect measurements from multiple sensors or a compatible interface simultaneously.Ĭollect data in real time or enter measurements manually.Īdjust data sampling rates for individual sensors, as needed.Īccess dozens of experiment files with configured settings and displays.Īutomate data collection for remote logging experiments. ![]()
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