The pandemic has not only increased economic inequities within variouscommunities, but it has also exacerbated the social, emotional, and math achievement inequities of middle school students, creating an environment that increases the potential for heightened anxiety and peer conflict. Now, more than ever, it is imperative that educators not only understand the existence and impact of these social and emotional inequities but have the knowledge and skills to effectively address them. Within this study, I facilitated a 10-week online community of practice with three middle school math teachers, entitled The More than Math Collective (MTMC), with the purpose of improving participant self-efficacy with SEL, developing their professional capital, discussing various strategies to address the social and emotional skill needs of students in their classrooms, and providing time for implementation of the discussed strategies. At the conclusion of the study, most participants reported an increase in self-efficacy, human capital, and decisional capital while only one out of three participants reported an increase in social capital. All participants described a positive impact on their students and their professional growth due to their participation in the MTMC and the various strategies that were learned and implemented in their classrooms. Given the small sample size, more research can be done to determine if the results of this study may be transferable to other educational settings.

Past research on knowledge has differentiated between dimensions of knowledge, for example amount or coherence. This dissertation introduces a novel dimension of knowledge, the Motivational Utility of Knowledge (MUK), that is based on hierarchies of human needs (e.g., physical safety, status/esteem, actualization, reproduction). The effects of MUK are tested in a set of four studies on the topic of houselessness. All four studies used the same dataset. Adults in the United States (N = 190) were recruited from an online survey platform and paid for participation. They were first asked about their conceptions of houselessness. Next, they read a set of four texts arguing different views of houselessness, and administered a comprehension test, an emotion while reading test, and asked if the text conflicted with their beliefs. They were then reassessed on their conceptions and administered the MUK scale. Finally, they were given a demographics questionnaire, including questions about their personal experience with houselessness, and were administered a general prior knowledge test and a vocabulary knowledge test. Study 1 examined MUK as a construct and assessed the factor structure of the scale. The analyses showed that the subscales of MUK loaded onto a single factor – overall value of houselessness knowledge. Study 2 situated MUK within the domain of conceptual change. The results demonstrated that participants’ conceptions of houselessness were related to MUK, and that their propensity to engage in conceptual change depended on MUK. Study 3 situated MUK within the domain of text comprehension research and demonstrated that the text-belief consistency effect is enhanced when participants have high MUK. Finally, Study 4 examined MUK as a mediator between conceptions and comprehension and examined the role of MUK in predicting negative emotions. Overall, the findings suggest that MUK plays a role in conceptual change and text comprehension such that participants with high MUK are less likely to revise their knowledge and have worse comprehension when the text conflicts with their beliefs. In addition, MUK may predict emotions while reading about controversial topics, as participants with high MUK were more likely to report negative emotions while reading.

This study examined the effects of different constructed response prompts and text types on students’ revision of misconceptions, comprehension, and causal reasoning. The participants were randomly assigned to prompt (self-explain, think-aloud) and text type (refutational, non-refutational) in a 2x2, between-subjects design. While reading, the students were prompted to write responses at regular intervals in the text. After reading, students were administered the conceptual inventory of natural selection (CINS), for which a higher score indicates fewer misconceptions of natural selection. Finally, students were given text comprehension questions, and reading skill and prior knowledge measures. Linear mixed effects (LME) models showed that students with better reading skill and more prior knowledge had a higher CINS score and better comprehension compared to less skilled students, but there were no effects of text type or prompt. Linguistic analysis of students’ responses demonstrated a relationship of prompt, text, and reading skill on students’ causal reasoning. Less skilled students exhibited greater causal reasoning when self-explaining a non-refutational text compared to less skilled students prompted to think-aloud, and less skilled students who read the refutational text. The results of this study demonstrate a relationship between reading skill and misconceptions in natural selections. Furthermore, the linguistic analyses suggest that less skilled students’ causal reasoning improves when prompted to self-explain.