Tuva is excited to announce the release of a feature that makes it possible for teachers to customize activities. The ability to copy and revise activities went live this past Friday.
Previously, if a teacher wanted to change something minor, it was a time-consuming process. First they had to create a brand new activity using Tuva’s activity builder and copy the text of each question one at a time. Then they could make the desired changes. Now, teachers can customize in a fraction of the time.
“We are excited to support our teachers in the new school year with the launch of this feature. Teachers can now easily edit and personalize Tuva’s library of inquiry-based science and math lessons to meet the unique needs of their classrooms and students,” said Tuva co-founder and CEO Harshil Parikh.
Tuva Premium subscribers are able to copy and revise any activity in Tuva’s extensive math and science content library, which currently houses more than 350 activities.
We are excited to unveil a brand new look to the Tuva Datasets Library!
As the number of datasets, activities, and lessons continues to increase on the Tuva platform, we are striving to make it easy for you to filter and find the right curriculum resource that meets your needs.
The new Tuva Datasets Library page is arranged as follows:
Find all the Filter categories and sub-categories on the left sidebar.
Filter by Subject / Topic, Grade Level, Science (NGSS Core Ideas), Math topic, Dataset Size, Place / Region, and Language.
Easily switch between 15 free datasets (Tuva Basic) and All datasets (Tuva Premium) in the library.
Easily toggle between Block View and List View for all resources.
Quickly find all the archived datasets and activities.
The Tuva Datasets Librarycontinues to grow, with new datasets, activities, and lessons added on a regular basis.
Thousands of educators around the world use the Tuva Datasets, the interactive graphing and data tools, and inquiry-based activities to effectively address math and science standards, concepts, and practices in their classrooms.
As we curate and add new datasets and activities to the Tuva Datasets Library, it it becoming essential that the library is kept fresh.
What can we do to preserve many of the older datasets that are no longer be relevant? Today, we are introducing the Archives section within the Tuva Datasets Library.
Once a free or aTuva Premium dataset is archived, it will be placed in the Archives section of the library.
Once the dataset is archived, all the activities and lessons related to that dataset are archived as well.
The archived datasets and activities will appear in the Search results, but they will be clearly marked as ARCHIVED.
The Archives section will ensure that the Tuva Datasets Library remains fresh, and that you are able to find the datasets, activities, and lessons that meet your needs.
Aside from Ralph Waldo Emerson’s claim (paraphrasing William Butler), of all Earth systems, the atmosphere can be one of the hardest for (non- pig) students to perceive.
Although we breathe in atmosphere every minute, its chemistry, layers, air masses, and patterns of movement occur at large scales and are often invisible.
We can feel the wind, but how can we discern its large-scale geographical and temporal patterns? Through data, of course!
Following up from the release of our first Tuva Science Collection on Earth in Space, today we are excited to introduce Tuva’s second science collection – Atmosphere.
The Atmosphere Collection includes datasets and activities that explore differences among vertical layers in the atmosphere, geographic variability in atmospheric pollutants, and temporal changes in components of the atmosphere such as the stratospheric ozone layer.
Some of the activities also explore weather and climate data to make sense of how air masses move.
Key ideas supported by datasets and activities in Tuva’s Atmosphere Collection include:
The size of the Antarctic ozone hole changes seasonally and is correlated with atmospheric concentrations of CFCs.
Atmospheric concentrations of CO2 and other pollutants have increased during recent decades, as has human population.
Relationships between different atmospheric parameters can be modeled and predicted mathematically.
Air masses can transport pollutants from source areas to distant non-source areas.
Human actions to mitigate air pollution can improve air quality.
The activities support NGSS performance expectations, such as exploring evidence for how motions and interactions of air masses result in changes in weather conditions (MS-ESS2-5), or analyzing geoscience data to forecast of the rate of change in the ozone hole (HS-ESS3-5).
These activities also support a number of CCSS-Math standards such as modeling relationships with linear equations.
Don’t forget to give your students opportunity to explore data on their own to make their own discoveries. Help your students learn to “see the wind” — through data!