Modeling Daylight Hours
Students are provided with data on the daylight hours for two Canadian cities measured three times per month in 2007. The student's task is to create graphical and algebraic models of the data and to interpret the meaning of each of the parameters in the algebraic models. The student will also ...https://education.ti.com/en/activity/detail/modeling-daylight-hours
Inverse Trig Functions
This activity works backwards by giving students the inverse functions and having them discover how they relate to the original functions. By tracing along the inverse function, data is collected and then plotted on a statplot. The variables are then switched on the statplot. The new plot and ...https://education.ti.com/en/activity/detail/inverse-trig-functions
Application of Maximum-Minimum Problems
Students will use a graphing approach to find the minimum costs of running a new line from a power station to a point on an island. Students will begin with a scaled drawing and follow the prompts. They will also manually collect data and find a curve of best fit.https://education.ti.com/en/activity/detail/application-of-maximumminimum-problems
From 0 to 180 - Rethinking the Cosine Law with Data
The goal of this activity is for students to experience a data-driven, inductive investigation leading to the cosine law. This could be used in addition to or instead of the traditional proof to deepen the understanding of the behavior of triangles and make the concepts more accessible to more s...https://education.ti.com/en/activity/detail/from-0-to-180--rethinking-the-cosine-law-with-data
Parameters in Secondary School: Logistics Functions
Designed for prospective secondary mathematics teachers, this activity has students predict, test and justify the effects of changing parameters d and b for the logistic function family given by f(x) = a/(1+b(e)^(cx)) + d. Reflection questions draw attention to the role of claims and evidence, in...https://education.ti.com/en/activity/detail/parameters-in-secondary-school-logistics-functions
Modeling Engine Power
In this activity, students use the TI-Nspire handheld to determine if a linear model or a quadratic model best fits a set of given data involving engine power. Students look at the pattern of data points and the sum of squares of the deviations to determine which model fits the data.https://education.ti.com/en/activity/detail/modeling-engine-power
Duckweed: Exponential Growth
Students will count the fronds of duckweed for nine days to observe the growth phase. Students will need one class period to start the experiment and one day for the final work and 15 minutes per day between start and finish.https://education.ti.com/en/activity/detail/duckweed--exponential-growth
T³™ Regional Summit: Colorado| Texas Instruments
...f Continuing Professional Education (CPE) in Texas. Continental breakfast and lunch are included. We will follow local protocols and safety recommendations and request that all attendees do the same for the health of all in attendance. In the event the summit is canceled, all registra...https://education.ti.com/en/t3-professional-development/for-teachers-and-teams/regional-summits/2025-south-texas-summit