High

The role of technology in STEM education remains unclear and needs stronger operational definition. In this paper, we explore the theoretical connection between STEM and emergent technologies, with a focus on learner behaviors and the potential of technology-mediated experiences with computational participation (CP) in shaping STEM learning. In particular, by de-emphasizing what technology is used and bringing renewed focus to how the technology is used, we make a case for CP as an epistemological and pedagogical approach that promotes collaborative STEM practices.

Learning goals differ from performance goals. We elaborate on their function and importance as the guiding force behind maintaining cognitive rigor during mathematics learning.

Hunt, J. & Stein, M. K. (2020). Constructing goals for student learning through conversation. Mathematics Teacher: Learning and Teaching PK-12, 113(11), 904-909.

To realize the promise of the Next Generation Science Standards, educators require new three-dimensional, phenomenon-based curriculum materials. We describe and report on pilot test results from such a resource—Evolution: DNA and the Unity of Life. Designed for the Next Generation Science Standards, this freely available unit was developed for introductory high school biology students. It builds coherent understanding of evolution over the course of seven to 8 weeks.

Arguing from evidence is one of eight key science practices in which students should engage. It is an essential component of science, yet students have difficulties with this practice. We describe a scaffolded claimsevidence-reasoning (CER) argumentation framework that is embedded within a new eight-week, freely available curriculum unit developed by the Genetic Science Learning Center – Evolution: DNA and the Unity of Life. The scaffold provides high school students with practice in both developing and evaluating written arguments.

This article explores how scholars have framed studies of preservice science teacher (PST) knowledge and learning over the past twelve years. We examined relevant studies between 2008

This resource presents a curricular module for high school biology classes related to the COVID-19 pandemic. The module is made up of 8 lessons that will likely take about 10-15 hours of instructional time. Major themes of the module include viral transmission, media literacy, data analysis, argumentation, and modeling. The following driving questions are explored:

Background

This article focuses on discussion and preliminary findings from classroom testing of the prototype learning module: Investigating Income Inequality in the U.S. In this module, students examine patterns of income inequality using person-level microdata from the American Community Survey (ACS) and the U.S. decennial census.

A design study was conducted to test a machine learning (ML)-enabled automated feedback system developed to support students’ revision of scientific arguments using data from published sources and simulations. This paper focuses on three simulation-based scientific argumentation tasks called Trap, Aquifer, and Supply. These tasks were part of an online science curriculum module addressing groundwater systems for secondary school students.

A design study was conducted to test a machine learning (ML)-enabled automated feedback system developed to support students’ revision of scientific arguments using data from published sources and simulations. This paper focuses on three simulation-based scientific argumentation tasks called Trap, Aquifer, and Supply. These tasks were part of an online science curriculum module addressing groundwater systems for secondary school students.