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Rise Up, Run Out to Coding

,
Pennsylvania Convention Center, Terrace Ballroom Lobby, Table 16

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Presenters

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Director of Information and Technology
School District of Holmen
@KatStepha
Kathleen Stephany is a Technology Integration Coach at the Oshkosh Area School District in Oshkosh, WI. She is a lead member of the District Technology Team. Kathleen enjoys exploring new technologies and sharing them with students and staff. She has been instrumental in establishing opportunities for girls in coding and technology. Kathleen is involved with Women in Technology, Wisconsin, Inc., NEW CS Advisory Board, NEW Digital Alliance, and Amplify Oshkosh. She received her Master of Science in Educational Leadership from UW Oshkosh. Kathleen earned her CETL in 2020.
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Teacher
Oshkosh Area School District
Carol Dobke is a math skills teacher in the Oshkosh Area School District in Oshkosh, WI. She has taught for 22 years. Carol works with seventh and eighth grade students at South Park Middle School who are behind in their math abilities. She enjoys investigating new technologies that enhance her student’s mathematical and social learning. During her summer, she enjoys spending time with her husband watching their two girls (ages 9 and 11) compete in softball, bowling, and swimming. They enjoy unique family vacations to small hidden treasures for example the SPAM museum or Kaleidoscope factory.

Session description

Technology is important in students' futures, whether it be unplugged programming, artificial intelligence or coding. See how students are using computational thinking and coding with online programs to identify curricular relationships. This session will focus on various mathematical concepts such as slope and equivalency that promote questioning and trial and error.

Purpose & objective

Students used computational thinking to have a concrete example to conceptualize the mathematics involved. Students were able to identify that a proportional table contains equivalent fractions in changes of y over changes in x. They were also able to separate those changes to code a robot to graph their table. The tables also graphed a straight line. Students could identify what proportional and linear mean. Students asked relevant questions and looked for patterns to teach a computer and use machine learning. Tools to program robots consisted of SpheroEdu, Code.org (Artist), and Cue (by Wonder Workshop).

Students enjoyed creating questions to recreate machine learning as a way to teach peers the difference between proportional and non proportional graphs. Their success on these projects was demonstrated in multiple chapter tests for the unit. Seventy five percent of the students in the math skills course improved their understanding of proportional relationships as evidenced in the grade 7 math class. Ninety percent of the students enjoyed the activity, and many students who walked by wanted to join. Adults also walking past class became curious about the students’ complete engagement in the activity.

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Outline

This session lends itself well to a poster session with handouts, photos, video.
Participants will experience an overview of the math lesson on slope and equivalent fractions (<5 min). Presenters will share videos of students learning slope and equivalent fractions (<5 min) and discuss with participants the outcomes of the lesson.
This session will engage the audience, showcase student work, and answer attendee questions.

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Supporting research

https://blog.mindresearch.org/blog/coding-mathematical-practices#:~:text=Coding%20Builds%20Problem%20Solving%20Skills,and%20persevere%20in%20solving%20them.

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Session specifications

Topic:
Universal Design for Learning/differentiated learning
Grade level:
6-8
Skill level:
Beginner
Audience:
Curriculum/district specialists, Library media specialists, Teachers
Attendee devices:
Devices not needed
Subject area:
Computer science, Math
ISTE Standards:
For Educators:
Designer
  • Design authentic learning activities that align with content area standards and use digital tools and resources to maximize active, deep learning.
For Students:
Empowered Learner
  • Students understand the fundamental concepts of technology operations, demonstrate the ability to choose, use and troubleshoot current technologies and are able to transfer their knowledge to explore emerging technologies.
Computational Thinker
  • Students understand how automation works and use algorithmic thinking to develop a sequence of steps to create and test automated solutions.
Related exhibitors:
Sphero,
Wonder Workshop,
Code.org