High

We draw on our experiences researching teachers’ use of student thinking to theoretically unpack the work of attending to student contributions in order to articulate the student mathematics (SM) of those contribution.

Even when chemistry teachers’ beliefs about assessment design align with literature-cited best practices, barriers can prevent teachers from enacting those beliefs when developing day-to-day assessments. In this paper, the relationship between high school chemistry teachers’ self-generated “best practices” for developing formative assessments and the assessments they implement in their courses are examined.

High school chemistry teachers will often establish goals that guide assessment design and interpretation of assessment results. However, little is known about how these goals and the assessment design collectively guide the interpretation of results. This study seeks to better understand what teachers notice when interpreting assessment results and how the design of the assessment may influence teachers’ patterns of noticing.

Designing high school chemistry assessments is a complex and difficult task. Although prior studies about assessment have offered teachers guidelines and standards as support to generate quality assessment items, little is known about how teachers engage these supports or enact their own beliefs into practice while developing assessments. Presented in this paper are the results from analyzing discourse among five high school chemistry teachers during an assessment item generation activity, including assessment items produced throughout the activity.

Think alouds are valuable tools for academicians, test developers, and practitioners as they provide a unique window into a respondent’s thinking during an assessment. The purpose of this special issue is to highlight novel ways to use think alouds as a means to gather evidence about respondents’ thinking. An intended outcome from this special issue is that readers may better understand think alouds and feel better equipped to use them in practical and research settings.

The lack of a definition of the T in STEM (science, technology, engineering, and mathematics) acronym is pervasive, and it is often the teachers of STEM disciplines who inherit the task of defining the role of technology within their K-12 classrooms. These definitions often vary significantly, and they have profound implications for curricular and instructional goals within science and STEM classrooms.

The lack of a definition of the T in STEM (science, technology, engineering, and mathematics) acronym is pervasive, and it is often the teachers of STEM disciplines who inherit the task of defining the role of technology within their K-12 classrooms. These definitions often vary significantly, and they have profound implications for curricular and instructional goals within science and STEM classrooms.

The lack of a definition of the T in STEM (science, technology, engineering, and mathematics) acronym is pervasive, and it is often the teachers of STEM disciplines who inherit the task of defining the role of technology within their K-12 classrooms. These definitions often vary significantly, and they have profound implications for curricular and instructional goals within science and STEM classrooms.

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.

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.