Like all SSI, the COVID-19 pandemic requires decisions that are contentious, involve scientific thinking, and vary across social groups. This investigation determined how perceptions about COVID-19 science and sociocultural membership associate with 557 university biology students': (1) COVID-19 behaviors after stay-at-home orders and (2) support…

The present study represents a novel method not yet used in the quantitative intersectionality literature -- the CT-C(M-1) model (Eid et al., 2003) -- for measuring and understanding the similarities and uniquenesses among intersectional subgroups. Intersectionality is a conceptual framework from which to investigate and remedy the ways in which…

This research aims to reveal the mediator role of teacher victimization between mobbing and faculty trust by constructing a structural equation model. The data were collected from 1144 educators working in the Sanliurfa province of Turkey by cross-sectional surveying with a form prepared online that consisted of questions regarding demographics,…

The National Council of Teachers of Mathematics (NCTM) has been emphasizing the importance of teachers' pedagogical communication as part of mathematical teaching and learning for decades. Specifically, NCTM has provided guidance on how teachers can foster mathematical communication that positively impacts student learning. A teacher may have…

Language learners are underserved if there are unlearned meanings of a word that they think they have already learned. For example, "circle" as a noun is well known, whereas its use as a verb is not. For artificial-intelligence-based support systems for learning vocabulary, assessing each learner's knowledge of such atypical but common…

A discussion forum is a valuable tool to support student learning in online contexts. However, interactions in online discussion forums are sparse, leading to other issues such as low engagement and dropping out. Recent educational studies have examined the affordances of conversational agents (CA) powered by artificial intelligence (AI) to…

Data from multiple school sources, including informant ratings, systematic direct observations (SDOs), and school wide data (e.g., office disciplinary referrals [ODRs]) are routinely used to guide decision making in the delivery of evidence based practices for students with externalizing and internalizing behavior problems. Over 50 years of…

To promote and enhance self-determination, the Self-Determined Learning Model of Instruction (SDLMI) was developed for teachers to teach students the skills needed to engage in goal-directed actions. The SDLMI was originally designed to be delivered by teachers, but technologies are emerging that can provide an alternative medium to delivering…

Due to the nature of the complexity of the diagnosis of autism spectrum disorder (ASD), elementary-aged students with this disorder require a holistic, team-based approach to education in the school setting. A review of current literature has found that while interprofessional collaborative practice (ICP) in the school setting is effective and…

The Smithsonian Science Education Center in collaboration with Howard University received a Planning Grant from the National Science Foundation (NSF)'s Inclusion across the Nation of Communities of Learners of Underrepresented Discoverers in Engineering and Science (INCLUDES) and Discovery Research PreK-12 (DRK-12) (Grant Award #2040784) for the…

This paper demonstrates how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. We examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance prediction; and (2) what types of in-game features were associated with student…

Calculus is typically one of the first college courses encountered by science, technology, engineering, and mathematics (STEM) majors. Calculus often presents major challenges affecting STEM student persistence, particularly for students from groups historically underrepresented in STEM. For life sciences majors, calculus courses may not offer…

This paper presents a mixture item response tree (IRTree) model for extreme response style. Unlike traditional applications of single IRTree models, a mixture approach provides a way of representing the mixture of respondents following different underlying response processes (between individuals), as well as the uncertainty present at the…

In response to the paradigm shift of feedback from information to process, the notion of 'student feedback literacy', which refers to students' capacities and dispositions to use feedback, has been increasingly promulgated in the higher education assessment literature recently. Student feedback literacy has been conceptualized into three…

Prosodic sensitivity--the rhythmic patterning of speech--is theorized to influence reading and spelling via vocabulary knowledge, phonological, and morphological awareness. Previously this conceptual model has been evidenced with children who can already read, however as orthographic knowledge can be used to complete phonological awareness tasks…