Events

Ready to learn more about using one of our new technologies in your Teacher Education, Social Work or Counseling courses? We invite you to join one of our free training webinars to ensure you are prepared to access, navigate, implement, and assign the technology you've adopted, and to walk through the support materials available to you and your students. Use the links below to register, each session lasts 30 to 45 minutes. If the scheduled times are not convenient for you, please contact teacher.education@pearson.com to schedule a one-on-one session instead.

Three innovators from the higher ed space share their perspectives and discuss how innovation has shaped success at their institutions.

Join us in Scottsdale for Now/Next in learning.

Join Jessica Bernards and Wendy Fresh from Portland Community College to explore how Grit and Growth Mindset relate specifically to math.

Join us for a webinar with author Glenn Hubbard and see how he uses current policy in the classroom to engage students, and show them economics is relevant.

Join Marc Renault from Shippensburg University as he showcases a suite of mobile-friendly Interactive Figures, and explore ways they can be used as teaching tools in the classroom and for independent study at home.

Join Bernhard Klingenberg from Williams College for ideas and demonstrations for how to strategically use apps to cover concepts such as sample-to-sample variability, multivariate thinking and permutation testing.  

Join Eric Gaze from Bowdoin College to explore elements to consider for a Quantitative Reasoning course that addresses the challenge of empowering people to think quantitatively about everyday issues by providing a firm foundation in proportional reasoning and modeling with spreadsheets.

ASU+GSV Summit 2019 marked another year of collaboration and inspiration from the world’s leading minds in work and ed tech.

Join Paul J. Deitel, CEO and Chief Technical Officer of Deitel & Associates, Inc., for an overview of his exciting, highly innovative new textbook, Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and the Cloud.