This session will introduce participants to a NSTA lesson designed to introduce high school students to cutting edge research on Artificial Intelligence. The lesson is designed around the critical aspects of sensemaking: students experience a phenomenon, engage in science and engineering practices and share ideas and to build and/or apply disciplinary core ideas and crosscutting concepts needed to explain how or why the phenomenon occurs. Sensemaking is in the vision of A Framework for K-12 Science Education - “the doing of science and engineering is highlighted as a strategy that can capture students’ interest in science and motivate their continued study.” (A Framework for K-12 Science Education, pp 42-43). NSTA lessons and units provide opportunities for all students to engage in science learning that is meaningful to them

TAKEAWAYS:
The JHU Wavelength lesson introduced in the session provides opportunities for high school students to learn about cutting edge science research, figure out science ideas related to artificial intellligence, and consider how it could benefit their community.

SPEAKERS:
Rama Chellappa (Bloomberg Distinguished Professor: Baltimore, MD), Patrice Scinta (NSTA: Arlington, VA), Rama Chellappa (Johns Hopkins University: Baltimore, MD)

Experiment with and decode computational models of core science topics. Experience NSF-funded curricular materials developed to support science instruction that incorporates computational thinking and coding. The session will focus on physics but also preview the chemistry and biology tracks.

TAKEAWAYS:
Attendees will learn (and experience!) some of the benefits of using computational models in high school science classrooms. They will do so by exploring the “use-decode-modify” progression for using computational models, which is built into our freely accessible curricular units.

SPEAKERS:
Kristen Bjork (Education Development Center, Inc.: Waltham, MA), Victor Mateas (Education Development Center, Inc.: Waltham, MA)

Sponsoring Company: Vernier Science Education

Python is a dominant programming language, and we have created libraries and sample code so that you can use most of our sensors in Python programs. Web VPython even allows you to read our Go Direct® sensors without installing anything, and it works on Chromebooks, PCs, and Mac® computers.

SPEAKERS:
Josh Ence (Vernier Science Education: Beaverton, OR), Frances Poodry (Vernier Science Education: Beaverton, OR)

Sponsoring Company: Museum of Science, EiE

N/A

SPEAKERS:
Amanda Cramer (ALSDE DLCS Integration Specialist: Hoover, AL), Mallory Schmidt (Museum of Science, Boston: Boston, MA)

Learn about free NSTA resources that support integrating learning in Life Science, Computer Science, and Artificial Intelligence. Experience programming your own Artificial Intelligence device on your laptop. Discover the free professional learning resources available to support the lesson materials

TAKEAWAYS:
Learn code to program a simple dialogue with an AI Device. Discover how NSTAs free lessons authentically integrate Life Science, Computer Science, and AI. Learn about free professional learning that supports the lesson materials.

SPEAKERS:
Michelle Phillips (NSTA: Arlington, VA)

Immerse yourself in classroom-ready lessons that create the need to engage in Using Mathematics and Computational Thinking to build science ideas needed to explain phenomena (and maybe solve a problem or two).

TAKEAWAYS:
Engaging students in the practice of Using Mathematics and Computational Thinking can create and foster wider interests in STEM fields

SPEAKERS:
Kate Soriano (NSTA: Arlington, VA)

This session will demonstrate how to bring information technologies and Instrumentation alive for students. In the activity presented, students will establish radio communication between instruments while learning to code in Python. Beginners welcome.

TAKEAWAYS:
Use Python to write the code to create a wireless data logger. We will broadcast, receive, and record readings from the technology’s internal sensors.

SPEAKERS:
Marian Prince (Andrews University: Berrien Springs, MI), Adam Pennell (Professor of Mathematics: , NC)

We present results of a national survey (of 6,044 beginning college students at 59 institutions) that assesses the influence of in-school computer science experiences on students’ career intentions.

TAKEAWAYS:
Attendees will learn what works--and what does not work--in boosting students' computer science-related career interests.

SPEAKERS:
Philip Sadler (Center for Astrophysics | Harvard & Smithsonian: Cambridge, MA), Susan Sunbury (Smithsonian Astrophysical Observatory: Cambridge, MA), Gerhard Sonnert (Harvard College Observatory: Cambridge, MA)

Department of Energy national labs provide opportunities for students to interact with STEM professionals and learn STEM skills through research-based curricula. Berkeley Lab has developed a data science curriculum in which students apply data analysis and coding skills on datasets from researchers.

TAKEAWAYS:
Attendees will learn how to integrate data science and coding into their STEM classes through an open source, research-based curriculum developed at Berkeley Lab.

SPEAKERS:
Faith Dukes (Director, K-12 STEM Education Programs: Berkeley, CA), Alisa Bettale (Lawrence Berkeley National Laboratory: Berkeley, CA)

In the 21st century, data is king. It is collected from users of all devices, and is processed and analyzed in fields like healthcare, finance, marketing, architecture, linguistics etc etc. We are developing an interdisciplinary course to be taught by 3 departments (Math/Statistics, Social Sciences, Computer Science) that would instruct students in discerning high quality data, conducting exploratory analyses in R, building models in R to explore relationships between two or more variables, presenting output graphically and numerically, interpreting the output, and presenting all results on a Shiny page. In the presentation, we will illustrate the logic of the course, discuss learning activities and the flow of the course, including a demonstration of a sample final project. We will then demonstrate our experience with deeply interdisciplinary approach to learning, teaching, and curriculum building.

TAKEAWAYS:
Data Science is an increasingly important skill to learn for students in high school to promote empirical thinking. The interdisciplinary approach to the course will ensure that data analysis is covered comprehensively: from discerning high quality data to presenting lucid takeaways.

SPEAKERS:
Brian Cook (Faculty: Wellesley, MA), Cloricia Townsend (Head of the Engineering and Computer Science Department: Wellesley, MA), Alla Baranovsky (AP Statistics/Math Teacher: Westborough, MA)

At its September 2022 International Global Computer Science Conference (CSEdCon), CODE.Org recognized Maryland and the Maryland Center for Computing Education as the nation leaders building an infrastructure that offers high quality computer science courses in every high school in the state. Presenters in this session will share the critical elements of their work to create this nationally recognized computer science infrastructure. This presentation will focus on adaptable strategies and outcome data for building and sustaining an equity-centered computer science teaching and learning infrastructure. Specifically, presenters will share the types of local and state-level financial commitments, intellectual CS content knowledge, constituent buy-in, and personnel/individual commitments are needed. Finally, attendees will learn some specific strategies for recruiting teachers and students from historically under-represented groups into computer science education and careers.

TAKEAWAYS:
Attendees will learn the K-12, higher education and business resources needed to create an equity-centered computer science teaching and learning infrastructure, including financial investments; intellectual/content; personnel/individuals; advocate engagement

SPEAKERS:
Dianne O'Grady-Cunniff (Director: Adelphi, MD), Dewayne Morgan (University System of Maryland: Adelphi, MD)

Student-Centered Computing (SCC), is a new CS curriculum for middle and high school students. This full-year curriculum, introduces students to computer science skills and concepts as they investigate and advocate for solutions to a problem of their own choosing.

TAKEAWAYS:
The SCC curriculum provides students with an engaging introductory computer science experience that encourages all students to continue in CS. Key elements include a collaborative, PBL approach and culturally authentic practices that support students’ voice, choice, and sense of belonging.

SPEAKERS:
Douglas Edwards (Senior Research Associate: Atlanta, GA)