High

Socioscientific issues (SSI) are problems involving the deliberate use of scientific topics that require students to engage in dialogue, discussion, and debate. The purpose of this project is to utilize issues that are personally meaningful and engaging to students, require the use of evidence-based reasoning, and provide a context for scientific information. This study highlights the value of integrating SSI in science education to engage students with social justice.

Controversial topics that arise in science classrooms, especially those of social relevance (e.g., the climate crisis), provide opportunities to help students learn about and discuss contradictory ideas they may encounter in their everyday experiences. Such topics may also be challenging to teach, but scaffolding may facilitate effective instruction. We describe one type of instructional scaffolding, the Model-Evidence Link (MEL) activity, that supports students’ reasoning when evaluating connections between lines of evidence and competing explanations about phenomena.

Controversial topics that arise in science classrooms, especially those of social relevance (e.g., the climate crisis), provide opportunities to help students learn about and discuss contradictory ideas they may encounter in their everyday experiences. Such topics may also be challenging to teach, but scaffolding may facilitate effective instruction. We describe one type of instructional scaffolding, the Model-Evidence Link (MEL) activity, that supports students’ reasoning when evaluating connections between lines of evidence and competing explanations about phenomena.

Controversial topics that arise in science classrooms, especially those of social relevance (e.g., the climate crisis), provide opportunities to help students learn about and discuss contradictory ideas they may encounter in their everyday experiences. Such topics may also be challenging to teach, but scaffolding may facilitate effective instruction. We describe one type of instructional scaffolding, the Model-Evidence Link (MEL) activity, that supports students’ reasoning when evaluating connections between lines of evidence and competing explanations about phenomena.

Controversial topics that arise in science classrooms, especially those of social relevance (e.g., the climate crisis), provide opportunities to help students learn about and discuss contradictory ideas they may encounter in their everyday experiences. Such topics may also be challenging to teach, but scaffolding may facilitate effective instruction. We describe one type of instructional scaffolding, the Model-Evidence Link (MEL) activity, that supports students’ reasoning when evaluating connections between lines of evidence and competing explanations about phenomena.

Controversial topics that arise in science classrooms, especially those of social relevance (e.g., the climate crisis), provide opportunities to help students learn about and discuss contradictory ideas they may encounter in their everyday experiences. Such topics may also be challenging to teach, but scaffolding may facilitate effective instruction. We describe one type of instructional scaffolding, the Model-Evidence Link (MEL) activity, that supports students’ reasoning when evaluating connections between lines of evidence and competing explanations about phenomena.

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.

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.

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.

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.