Education Technology

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T3™ Teacher Leader Cadre (TLC): High School Science Using TI-Nspire™ Technology

Audience: High school science educators looking to receive in-depth technology, pedagogy, and leadership training with TI-Nspire technology over an extended period of time

Technology: TI-Nspire™ CX handhelds, Vernier data collection sensors, TI-Nspire™ Lab Cradle, TI-Nspire™ Teacher Software.

Overview: This workshop focuses on appropriate usage of the TI-Nspire handheld, Teacher Software, and Vernier data collection sensors across the high school science curriculum, with an emphasis on strengthening content knowledge, pedagogy, and leadership skills.


Participants will have the opportunity to begin or expand their use of the TI-Nspire handheld and Teacher Software, learning how to collect and analyze data, develop appropriate models, and use interactive simulations to explore key concepts with students. Throughout the TLC, participants will become better equipped to share their knowledge with other educators and students.

Leadership activities allow participants to develop skills to train peers and mentor colleagues on the effective use of TI-Nspire technology in the classroom. Participants will design their own TI-Nspire lessons and, during the last two days of the TLC, present their lessons to their colleagues for professional critique.

Technology, pedagogy, and leadership skills are taught in the context of the following areas:

Biology: Cells, Genetics, The Human Body, Ecology
Atomic Structure & Periodic Table; Chemical Bonding, Equations, & Reactions; Gases, Liquids, & Solids
Forces & Motion; Work, Energy, & Momentum; Light & Optics
Skills of Science:
Using the Vernier DataQuest™ Application, Building & Interpreting Graphs, Creating Lab Reports

Sample Lesson: Boyle’s Law

Objective: Use a Gas Pressure Sensor and a gas syringe to measure the pressure of an air sample at several different volumes; determine the relationship between gas pressure and volume; use the results to predict the pressure at other volumes.

Technology Skills: Collect and analyze data; generate a regression model.