Despite the growing research base on preservice teacher noticing of children's mathematical thinking in video, few, if any studies consider the complex nature of the video representations themselves. Drawing from cognitive load theory, we developed a rubric to code the complexity of the salient teaching and learning events captured in video, and analyzed the relationship between video complexity and preservice teacher (n = 233) noticing. Results indicate that two categories significantly highlight children's mathematical thinking and two categories significantly mask children's mathematical thinking for preservice teachers. We discuss the implications of these results for the design of our instructional platform and other video-based learning environments used in preservice teacher education settings.
In this article, the authors explore the influence of stereotypes and stereotype threats on African American learners' experiences in situ, using mathematics-learning contexts as a specific setting. Although there has been growing attentiveness to the social contexts of students' math-learning experiences, the influence of stereotypes on learning—beyond testing situations—has been largely unexplored, with only a few notable exceptions. The purpose of this article is to shed light on scenarios in which threatening stereotypes unfold, specifically in an institutional context in which African Americans are overrepresented. Drawing on data and findings from a recent study examining mathematics learning and identity in non-credit-bearing remedial math courses, the article centers on three vignettes that highlight features of identity threat in situ: a) identity contingency detection, b) threat susceptibility, c) stereotype cues (e.g., critical mass), d) transmission of stereotypes, and e) pedagogical implications of identity threats. The article concludes with implications for studying the intersection of stereotypes and learning experiences.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.