Middle

Innovate to Mitigate: Teacher Role in a Student Competition

The Innovate to Mitigate (I2M) project poses challenges for secondary-school students to design feasible, innovative strategies that mitigate CO2 emissions and thus global warming. Design is informed by research on problem-based learning, pedagogy for which poses demands on teachers. This paper presents preliminary evidence about how I2M teachers supported student teams to engage in science and engineering practices.

Author/Presenter

Gillian Puttick

Brian Drayton

Santiago Gasca

Lead Organization(s)
Year
2023
Short Description

The Innovate to Mitigate (I2M) project poses challenges for secondary-school students to design feasible, innovative strategies that mitigate CO2 emissions and thus global warming. Design is informed by research on problem-based learning, pedagogy for which poses demands on teachers. This paper presents preliminary evidence about how I2M teachers supported student teams to engage in science and engineering practices.

Innovate to Mitigate: Teacher Role in a Student Competition

The Innovate to Mitigate (I2M) project poses challenges for secondary-school students to design feasible, innovative strategies that mitigate CO2 emissions and thus global warming. Design is informed by research on problem-based learning, pedagogy for which poses demands on teachers. This paper presents preliminary evidence about how I2M teachers supported student teams to engage in science and engineering practices.

Author/Presenter

Gillian Puttick

Brian Drayton

Santiago Gasca

Lead Organization(s)
Year
2023
Short Description

The Innovate to Mitigate (I2M) project poses challenges for secondary-school students to design feasible, innovative strategies that mitigate CO2 emissions and thus global warming. Design is informed by research on problem-based learning, pedagogy for which poses demands on teachers. This paper presents preliminary evidence about how I2M teachers supported student teams to engage in science and engineering practices.

Thinking Outside the Box of Rocks

In this article we introduce a National Science Foundation-funded research project called TecRocks that has developed new interactive simulations and an innovative online curriculum module that weaves rock formation and plate tectonics together such that secondary teachers and students can approach these two topics as integrated systems. In the 2022-23 school year, the curriculum was implemented in middle and high school classrooms across the United States.

Author/Presenter

Trudi Lord

Amy Pallant

Lead Organization(s)
Year
2023
Short Description

In this article we introduce a National Science Foundation-funded research project called TecRocks that has developed new interactive simulations and an innovative online curriculum module that weaves rock formation and plate tectonics together such that secondary teachers and students can approach these two topics as integrated systems.

Applying Rasch Measurement to Assess Knowledge-in-Use in Science Education

This study applied the many-facet Rasch measurement (MFRM) to assess students’ knowledge-in-use in middle school physical science. 240 students completed three knowledge-in-use classroom assessment tasks on an online platform. We developed transformable scoring rubrics to score students’ responses, including a task-generic polytomous rubric (applicable to the three tasks), a task-specific polytomous rubric (for each task), and a task-specific dichotomous rubric (for each task). Three qualified raters scored 240 students’ responses to the three tasks.

Author/Presenter

Peng He

Xiaoming Zhai

Namsoo Shin

Joseph Krajcik

Lead Organization(s)
Year
2023
Short Description

This study applied the many-facet Rasch measurement (MFRM) to assess students’ knowledge-in-use in middle school physical science.

Technology-Mediated Lesson Study: A Step-by-Step Guide

Purpose
The authors are developing a model for rural science teacher professional development, building teacher expertise and collaboration and creating high-quality science lessons: technology-mediated lesson study (TMLS).

Author/Presenter

Michelle Hudson

Heather Leary

Max Longhurst

Joshua Stowers

Tracy Poulsen

Clara Smith

Rebecca L. Sansom

Lead Organization(s)
Year
2024
Short Description

The authors are developing a model for rural science teacher professional development, building teacher expertise and collaboration and creating high-quality science lessons: technology-mediated lesson study (TMLS).

Embodied, Dramatizing Performances in Science Class: Multimodal Spaces and Places of Knowledge and Identity Construction

We explored the semiotic choices children in grades 1–6 made that nurtured embodied, dramatizing performances in science classes at urban public schools, serving predominantly students of color in a large US city. We studied how such choices in school and home settings (when instruction was remote during the COVID-19 pandemic) were implicated in the children’s knowledge and identity construction and related to available resources and positionings.

Author/Presenter

Maria Varelas

Amanda R. Diaz

Rebecca Kotler

Rebecca Woodard

Ronan Rock

Zachary Sabitt

Nathan Phillips

Rachelle Tsachor

Marcie Gutierrez

Hannah Natividad

Derek Threewitt

Jaegen Ellison

Year
2024
Short Description

We explored the semiotic choices children in grades 1–6 made that nurtured embodied, dramatizing performances in science classes at urban public schools, serving predominantly students of color in a large US city. We studied how such choices in school and home settings (when instruction was remote during the COVID-19 pandemic) were implicated in the children’s knowledge and identity construction and related to available resources and positionings.

Can Generative AI and ChatGPT Outperform Humans on Cognitive-Demanding Problem-Solving Tasks in Science?

This study aimed to examine an assumption regarding whether generative artificial intelligence (GAI) tools can overcome the cognitive intensity that humans suffer when solving problems. We examine the performance of ChatGPT and GPT-4 on NAEP science assessments and compare their performance to students by cognitive demands of the items. Fifty-four 2019 NAEP science assessment tasks were coded by content experts using a two-dimensional cognitive load framework, including task cognitive complexity and dimensionality.

Author/Presenter

Xiaoming Zhai

Matthew Nyaaba

Wenchao Ma

Lead Organization(s)
Year
2024
Short Description

This study aimed to examine an assumption regarding whether generative artificial intelligence (GAI) tools can overcome the cognitive intensity that humans suffer when solving problems. We examine the performance of ChatGPT and GPT-4 on NAEP science assessments and compare their performance to students by cognitive demands of the items.

Can Generative AI and ChatGPT Outperform Humans on Cognitive-Demanding Problem-Solving Tasks in Science?

This study aimed to examine an assumption regarding whether generative artificial intelligence (GAI) tools can overcome the cognitive intensity that humans suffer when solving problems. We examine the performance of ChatGPT and GPT-4 on NAEP science assessments and compare their performance to students by cognitive demands of the items. Fifty-four 2019 NAEP science assessment tasks were coded by content experts using a two-dimensional cognitive load framework, including task cognitive complexity and dimensionality.

Author/Presenter

Xiaoming Zhai

Matthew Nyaaba

Wenchao Ma

Lead Organization(s)
Year
2024
Short Description

This study aimed to examine an assumption regarding whether generative artificial intelligence (GAI) tools can overcome the cognitive intensity that humans suffer when solving problems. We examine the performance of ChatGPT and GPT-4 on NAEP science assessments and compare their performance to students by cognitive demands of the items.

Promoting Students’ Informal Inferential Reasoning Through Arts-Integrated Data Literacy Education

Purpose

Author/Presenter

Camillia Matuk

Ralph Vacca

Anna Amato

Megan Silander

Kayla DesPortes

Peter J. Woods

Marian Tes

Year
2023
Short Description

Arts-integration is a promising approach to building students’ abilities to create and critique arguments with data, also known as informal inferential reasoning (IIR). However, differences in disciplinary practices and routines, as well as school organization and culture, can pose barriers to subject integration. The purpose of this study is to describe synergies and tensions between data science and the arts, and how these can create or constrain opportunities for learners to engage in IIR.

Promoting Students’ Informal Inferential Reasoning Through Arts-Integrated Data Literacy Education

Purpose

Author/Presenter

Camillia Matuk

Ralph Vacca

Anna Amato

Megan Silander

Kayla DesPortes

Peter J. Woods

Marian Tes

Year
2023
Short Description

Arts-integration is a promising approach to building students’ abilities to create and critique arguments with data, also known as informal inferential reasoning (IIR). However, differences in disciplinary practices and routines, as well as school organization and culture, can pose barriers to subject integration. The purpose of this study is to describe synergies and tensions between data science and the arts, and how these can create or constrain opportunities for learners to engage in IIR.