WISE TELS

WISE directors Libby Gerard and Marcia Linn served as guest editors for a Special Issue of Education Sciences journal titled “Exploring the Future of Science Education with AI Technologies.” Check out exciting new research papers that discuss opportunities and challenges in using AI to strengthen teaching and learning in science!

wise-research.berkeley.edu

https://stemforall2022.videohall.com/presentations/2336

See highlights of our latest work using cutting-edge advances in natural language processing (NLP) to detect the rich ideas that students develop during everyday experience and provide adaptive guidance that gets each student started on reconsidering their own ideas, considering their peers’ ideas, and developing more coherent explanations for complex scientific phenomena.

At the 2022 NSF STEM for All Video Showcase, we present early work from our from our NLP-TIPS project, a collaboration that continues our successful collaboration with ETS. Our new idea detection technology adapts to each student’s cultural and linguistic entry points into a topic, using the ideas detected in student responses to design adaptive, interactive guidance.

Our video illustrates how this technology empowers students to use their ideas as a starting point for deepening science understanding.

Let us know your thoughts and send us questions using the public discussion forum. You can also vote for our video as a Public or Presenter’s Choice! We look forward to hearing from you.

UC Berkeley graduate student and WISE researcher Li Weiying has led a successful and highly impactful collaboration with science teachers in rural Wuhan, China over the past year. The teachers implemented a WISE Global Climate Change unit with their students and, together with Weiying, wrote a report in December 2020 comparing the WISE classroom with traditional Chinese classrooms. The project report has recently been evaluated as an “Exceptional Project” by the Wuhan city Department of Education and Education Society.

Attached is the certificate they received. Certificate translation:

"Li Weiying:
The research project “The application of project based learning (Global Climate Change WISE unit) in science teaching in rural middle school” that you attended has been evaluated as the “Important project of Teaching and Education Research Plan of the Thirteenth Five-Year Plan of China” and classified as an official research finding of Wuhan Education Society.

Wuhan Education Society
2021.6.17"

The Thirteenth Five-Year Plan of China is an important guideline for every industry in China. The plan is used to map strategies for economic development, set growth targets, and launch reforms. Within the general plan, the Teaching and Education section has its own plan. It is an honor to be selected as “important project” into the Thirteenth Five-Year Plan.

Check out our latest cutting-edge work using natural language processing (NLP) to empower teachers and students to take action to promote social justice through science learning and teaching!

At the 2021 NSF STEM for All Showcase, we present recent work from our from our (STRIDES) project, a collaboration with ETS that leverages NLP to capture students’ evolving understanding of Next Generation Science Standards (NGSS) three-dimensional learning. Milestone reports pair distributions of student responses with evidence based instructional opportunities that support teachers to notice student ideas and tailor instruction for their students.

Watch how WISE partner teachers utilize this data to adjust instruction based on their students’ specific needs. See how they are customizing WISE curricula to address social justice topics critically important to their students’ lives, enabling students to plan anti-racism actions through science learning.

Let us know your thoughts and send us questions using the public discussion forum. And feel free to vote for our video as a Public or Presenter’s Choice! We look forward to hearing from you. 😀

Web-based Personalized Science Units Empowering Anti-Racism Using web-based, personalized units, STRIDES is empowering teachers and students to take action to promote anti-racism. In a collaboration between UC Berkeley and ETS, STRIDES uses Natural Language...

We invite you to check out the 2020 NSF STEM for All Showcase where we present recent work from our Supporting Teachers in Responsive Instruction for Developing Expertise in Science (STRIDES) project. Come learn about how we're providing teachers with student data to help them customize instruction and adapt to distance learning in the age of COVID-19! And feel free to vote for our video as a Public or Presenter's Choice. :)

STRIDES: Customizing Online Curricula for Distance Learning Supporting Teachers in Responsive Instruction for Developing Expertise in Science (STRIDES) is a partnership of teachers, students, technology experts, assessment experts, learning scientists, and...