Science

What Distinguishes Students’ Engineering Design Performance: Design Behaviors, Design Iterations, and Application of Science Concepts

Engineering design that requires mathematical analysis, scientific understanding, and technology is critical for preparing students for solving engineering problems. In simulated design environments, students are expected to learn about science and engineering through their design. However, there is a lack of understanding concerning linking science concepts with design problems to design artifacts.

Author/Presenter

Hanxiang Du

Gaoxia Zhu

Wanli Xing

Charles Xie

Year
2025
Short Description

Engineering design that requires mathematical analysis, scientific understanding, and technology is critical for preparing students for solving engineering problems. In simulated design environments, students are expected to learn about science and engineering through their design. However, there is a lack of understanding concerning linking science concepts with design problems to design artifacts. This study investigated how 99 high school students applied science concepts to solarize their school using a computer-aided engineering design software, aiming to explore the interaction between students’ science concepts and engineering design behaviors.

What Distinguishes Students’ Engineering Design Performance: Design Behaviors, Design Iterations, and Application of Science Concepts

Engineering design that requires mathematical analysis, scientific understanding, and technology is critical for preparing students for solving engineering problems. In simulated design environments, students are expected to learn about science and engineering through their design. However, there is a lack of understanding concerning linking science concepts with design problems to design artifacts.

Author/Presenter

Hanxiang Du

Gaoxia Zhu

Wanli Xing

Charles Xie

Year
2025
Short Description

Engineering design that requires mathematical analysis, scientific understanding, and technology is critical for preparing students for solving engineering problems. In simulated design environments, students are expected to learn about science and engineering through their design. However, there is a lack of understanding concerning linking science concepts with design problems to design artifacts. This study investigated how 99 high school students applied science concepts to solarize their school using a computer-aided engineering design software, aiming to explore the interaction between students’ science concepts and engineering design behaviors.

Toward Ontological Alignment: Coordinating Student Ideas with the Representational System of a Computational Modeling Unit for Science Learning

Computational modeling tools present unique opportunities and challenges for student learning. Each tool has a representational system that impacts the kinds of explorations students engage in. Inquiry aligned with a tool’s representational system can support more productive engagement toward target learning goals. However, little research has examined how teachers can make visible the ways students’ ideas about a phenomenon can be expressed and explored within a tool’s representational system.

Author/Presenter

Aditi Wagh

Leah F. Rosenbaum

Tamar Fuhrmann

Adelmo Eloy

Paulo Blikstein

Michelle Wilkerson

Year
2024
Short Description

Computational modeling tools present unique opportunities and challenges for student learning. Each tool has a representational system that impacts the kinds of explorations students engage in. Inquiry aligned with a tool’s representational system can support more productive engagement toward target learning goals. However, little research has examined how teachers can make visible the ways students’ ideas about a phenomenon can be expressed and explored within a tool’s representational system. In this paper, we elaborate on the construct of ontological alignment—that is, identifying and leveraging points of resonance between students’ existing ideas and the representational system of a tool.

Toward a Framework of Culturally Relevant Science and Mathematics Pedagogy: A Pedagogical and Analytical Tool for Teacher Education

In this article, we present a framework of culturally relevant science and mathematics pedagogy (CRSMP), which is grounded in the tenets of culturally relevant pedagogy. It delineates practices ranging from the most accessible and easy-to-implement, to the most challenging and often contentious ways to teach mathematics and science. We provide examples of CRSMP that re-position marginalized learners in relation to science and mathematics.

Author/Presenter

Paula A. Magee

Craig Willey

Lead Organization(s)
Year
2024
Short Description

In this article, we present a framework of culturally relevant science and mathematics pedagogy (CRSMP), which is grounded in the tenets of culturally relevant pedagogy. It delineates practices ranging from the most accessible and easy-to-implement, to the most challenging and often contentious ways to teach mathematics and science.

Preservice Teachers’ Early Lesson Planning for Justice-Oriented Elementary Science

Building on the literature, we designed a practical framework to support attention to equity and justice in science teacher education coursework. This framework presents four approaches for including justice moves in elementary science lessons, from increasing opportunity and access in science, to increasing identity and representation in science, to expanding what counts as science, to seeing science as a part of justice movements.

Author/Presenter

Elizabeth A. Davis

Jessica Bautista

Lead Organization(s)
Year
2024
Short Description

Building on the literature, we designed a practical framework to support attention to equity and justice in science teacher education coursework. This framework presents four approaches for including justice moves in elementary science lessons, from increasing opportunity and access in science, to increasing identity and representation in science, to expanding what counts as science, to seeing science as a part of justice movements. We analyzed the lesson plans of 16 preservice elementary teachers who were using the practical justice framework in their very first lesson planning experience.

From Experience to Explanation: An Analysis of Students’ Use of a Wildfire Simulation

This study employs the Experiential Learning Theory framework to investigate students’ use of a wildfire simulation. We analyzed log files automatically generated by middle and high school students (n = 1515) as they used a wildfire simulation and answered associated prompts in three simulation-based tasks.

Author/Presenter

Trudi Lord

Paul Horwitz

Amy Pallant

Christopher Lore

Lead Organization(s)
Year
2024
Short Description

This study employs the Experiential Learning Theory framework to investigate students’ use of a wildfire simulation. We analyzed log files automatically generated by middle and high school students (n = 1515) as they used a wildfire simulation and answered associated prompts in three simulation-based tasks.

Developing Elementary Teachers’ Climate Change Knowledge and Self-efficacy for Teaching Climate Change Using Learning Technologies

Elementary teachers require support through professional learning activities to enhance their climate change literacy and bolster their self-efficacy for teaching climate change. This study explores methods for supporting in-service elementary teachers’ self-efficacy in climate change teaching by examining the impact of professional learning activities that incorporate learning technologies on climate change literacy.

Author/Presenter

Amal Ibourk

Lauren Wagner

Khadija Zogheib

Lead Organization(s)
Year
2024
Short Description

Elementary teachers require support through professional learning activities to enhance their climate change literacy and bolster their self-efficacy for teaching climate change. This study explores methods for supporting in-service elementary teachers’ self-efficacy in climate change teaching by examining the impact of professional learning activities that incorporate learning technologies on climate change literacy.

Leveraging Uncertainty as a Means of Facilitating Sensemaking Within a Digital Wildfire Curriculum

The changing landscape of geoscience learning has initiated growing interest in engaging science learners with climate data. One approach to teaching climate is the application of broadly accessible digital science curricula, which often include data tools such as visualizations, data representations, and simulations embedded within digital science curricula. We are specifically interested in how students and teachers grapple with scientific uncertainty in digital curricula.

Author/Presenter

Brandin Conrath

Amy Voss Farris

Scott McDonald

Year
2024
Short Description

The changing landscape of geoscience learning has initiated growing interest in engaging science learners with climate data. One approach to teaching climate is the application of broadly accessible digital science curricula, which often include data tools such as visualizations, data representations, and simulations embedded within digital science curricula. We are specifically interested in how students and teachers grapple with scientific uncertainty in digital curricula. Our paper therefore examines how a 7th grade science class and their teacher leverage moments of uncertainty in their work within a digital geohazard curriculum to learn about wildfire risk and impact.

Employing Automatic Analysis Tools Aligned to Learning Progressions to Assess Knowledge Application and Support Learning in STEM

We discuss transforming STEM education using three aspects: learning progressions (LPs), constructed response performance assessments, and artificial intelligence (AI). Using LPs to inform instruction, curriculum, and assessment design helps foster students’ ability to apply content and practices to explain phenomena, which reflects deeper science understanding. To measure the progress along these LPs, performance assessments combining elements of disciplinary ideas, crosscutting concepts and practices are needed.

Author/Presenter

Leonora Kaldaras

Kevin Haudek

Joseph Krajcik

Year
2024
Short Description

We discuss transforming STEM education using three aspects: learning progressions (LPs), constructed response performance assessments, and artificial intelligence (AI). Using LPs to inform instruction, curriculum, and assessment design helps foster students’ ability to apply content and practices to explain phenomena, which reflects deeper science understanding. To measure the progress along these LPs, performance assessments combining elements of disciplinary ideas, crosscutting concepts and practices are needed. However, these tasks are time-consuming and expensive to score and provide feedback for. Artificial intelligence (AI) allows to validate the LPs and evaluate performance assessments for many students quickly and efficiently.

Combining Natural Language Processing with Epistemic Network Analysis to Investigate Student Knowledge Integration within an AI Dialog

In this study, we used Epistemic Network Analysis (ENA) to represent data generated by Natural Language Processing (NLP) analytics during an activity based on the Knowledge Integration (KI) framework. The activity features a web-based adaptive dialog about energy transfer in photosynthesis and cellular respiration. Students write an initial explanation, respond to two adaptive prompts in the dialog, and write a revised explanation. The NLP models score the KI level of the initial and revised explanations. They also detect the ideas in the explanations and the dialog responses.

Author/Presenter

Weiying Li

Hsin-Yi Chang

Allison Bradford

Libby Gerard

Marcia C. Linn

Year
2024
Short Description

In this study, we used Epistemic Network Analysis (ENA) to represent data generated by Natural Language Processing (NLP) analytics during an activity based on the Knowledge Integration (KI) framework. The activity features a web-based adaptive dialog about energy transfer in photosynthesis and cellular respiration.