Category Archives: Online Learning

STEM Behind Sports

STEM Behind Sports

Continuing their popular “STEM Behind…” series of classroom activities that feature interesting applications of mathematics and science with Texas Instruments technologies, TI has launched a new curriculum module, STEM Behind Sports. Previous modules in the series like STEM behind Hollywood feature the TI-Nspire CX, but STEM Behind Sports features the TI-84 Plus CE (review).

stem_behind_sports_ti_84_ce

Like other STEM Behind… activites, you can STEM Behind Sports can be downloaded from the Texas Instruments website. It includes printable worksheets in PDF and Word format, so it’s easy to add or omit content as you see fit. There are activities at the middle school, high school Geometry and Algebra II level. I downloaded the Algebra II activity from the TI website and uploaded the appropriate files to my TI-84 Plus CE. The activity focused on projectile motion using concepts like the separability of vertical and horizontal components of motion and simple parametric graphing. Students will especially enjoy the ability to “kick” their own field goals using the program TI has included with the activity.

I love the idea of STEM Behind Sports because it has the potential to reach a very audience than previous STEM Behind… activities. Any high school math teacher (and really, any high school teacher) will tell you that there is a subset of students that is sport-obsessed but difficult to get interested in much else. STEM Behind Sports has the potential to reach those students with compelling mathematics problems.

Why STEM Studies are the Future of Engineering

Quality of life has significantly improved thanks to tools developed by leaders in the science, technology, engineering and mathematics (STEM) fields. These high-performing minds combine technical skill with innovative ideas to find improvements and alternative solutions to some of the world’s largest problems. Engineering, in particular, is one STEM field that can take credit for… Continue Reading

University of Washington Machine Learning Classification Review

I’ve spent the last couple of months working through course three in the University of Washington’s Machine Learning Specialization on Coursera. Course two was regression (review); the topic of the third course is classification. As has been the case with previous courses, this specialization continues to be taught by Carlos Guestrin and Emily Fox. For… Continue Reading

Coursera Review–Machine Learning: Regression

Coursera Review–Machine Learning: Regression

I’ve recently completed the second course in the University of Washington Machine Learning Specialization on Coursera, “Machine Learning: Regression.” This comes on the heels of completing course 1, Machine Learning Foundations: A Case Study Approach. This course debuted right at the end of November and wrapped up 6 weeks later (my impression is that these… Continue Reading

NASA and Texas Instruments Team Up for STEM Education

NASA and Texas Instruments Team Up for STEM Education

  Today, Texas Instruments announced a new partnership with NASA for STEM education that they are calling mISSion imaginaTIon. The new initiative launched with an online quiz about manned space missions, and there will soon be TI-Nspire activities with mISSion imaginaTIon. A year long STEM design challenge encourages students to work on four space-related challenges, and the… Continue Reading

Teaching Graph Theory With Twitter

In a recent post, I displayed the social network graph that I created using the Twitter API and Plotly. There are a number of interesting applications here. Given my history with education, one that I think that shouldn’t be overlooked is as an interesting way to teach graph theory for an innovative teacher and school.… Continue Reading

#EdTechChat Social Network Graph

#EdTechChat Social Network Graph

Using the Twitter API and Plotly with Python, I created a visualization of a recent #EdTechChat on Twitter, held on December 14. If you aren’t familiar with graph theory, the dots in this visualization are referred to as nodes or vertices. They represent the Twitter users that participated in the chat. The line segments connecting… Continue Reading

Coursera Review: Social and Economic Networks

Because I just couldn’t get enough of the new Machine Learning Specialization from the University of Washington, I decided to fill fill my schedule to the brim with another Coursera class, Social and Economic Networks: Models and Analysis, from the University of Stanford. I took a graph theory course at the University of Illinois while… Continue Reading

Hour of Code 2015

We are just a couple of weeks away from the 2015 Hour of Code.  Last year, I did the Hour of Code with all of my students on my last day as a teacher after 13 years in the classroom, and they loved it. If you are a math, science, or computer teacher, or are a… Continue Reading