Visual presentation of information is one method of learning that has the ability to enhance STEM learning compared to learning solely through text. Educational psychology research is ongoing in the STEM field for how students can learn better through visual representations in their course material. The goal of this study was to assess student responses to visual mini-lessons related to course content in the cardiovascular unit in Animal Physiology (BIO360) at Arizona State University. Study participants completed a series of eight mini-lessons and a survey on their experience with the visual lessons. The results of the survey identify increased desire for visual learning materials in STEM courses. The study participants reported that they felt more visual aids in their STEM courses would increase their understanding of course content and that their classroom performance would improve.

The incidence of childhood obesity has become increasingly prevalent in the United States in recent years. The development of obesity at any age, but especially in adolescence, can have lasting negative effects in the form of cardiometabolic disease, increased incurred healthcare costs, and potential negative effects on quality of life. In recent years, a rising trend of obesity, in both adults and adolescents, has been observed in lower income and ethnic groups. Increased adiposity can be influenced by modifiable factors -(physical activity, caloric intake, or sleep) or by non-modifiable factors (ethnicity, genetic predispositions, and socioeconomic status). The influence of these factors can be observed in individuals of all ages, including infants. A common indicator of the development of childhood obesity is rapid weight gain (RWG) within an infant’s first year of life. The composition of the gut microbiome can act as a predictor for RWG and the development of childhood obesity. Infants are exposed to an immense microbial load when they are born and their gut microbiome is continually diversified through their method of feeding and the subsequent introduction to solid foods. While currently understudied, it is understood that cultural and socioeconomic factors influence the development of the gut microbiome, which is further explored in this analysis. The DNA from 51 fecal samples from infants ranging from 3 weeks to 12 months in age was extracted and sequenced using next-generation sequencing, and the resulting sequences were analyzed using QIIME 2. Results from alpha-diversity and beta-diversity metrics showed significant differences in the gut microbiome of infants when comparing groups based on baby race/ethnicity, household income, and mom’s education. These findings suggest the importance of sociodemographic characteristics in shaping the gut microbiome and suggest the importance of future studies including diverse populations in gut microbiome work.

I have designed a college-level course to help college-aged students build and maintain healthy friendships. Every week, students will engage in collaborative activities and learn a variety of topics related to friendship, including the benefits of friendship, barriers to friendship, and friendship maintenance mechanisms. As part of their final project, students will demonstrate their knowledge of making and maintaining healthy friendships by completing a case study in which students will be expected to apply their learnings from class to a chosen friendship and observe how the friendship changes as a result. In order to establish the need for the course I made, I first conducted a literature review on friendship, loneliness, and factors that may contribute to young adults having difficulties making friends.

This paper encompasses a reflection of my experience engaging Algebra 1 students in a math classroom. 5 main strategies were focused on: incorporating games in the classroom, asking students to create (projects, word problems, etc), using technology in the classroom, fostering student collaboration, and allowing student choice. Each strategy was implemented three times in the classroom, student feedback collected, and the level of student engagement was assessed.

Beautiful and rich in history, the Arabic language is spoken by over 422 million people. The language has significant social and political importance, and it is increasingly taught in universities around the United States. When languages are taught their aim should be not only to teach learners to communicate effectively, but also to gain a deep understanding and respect of culture, people, and history. The Al-Kitaab textbook series by Georgetown University Press is utilized as the main learning material in most universities in the United States to teach Arabic language. The highly political and negative nature of the series limits students’ comprehension to a political perspective influenced by the conflicts in the Middle East and has a severe impact on not only students’ learning ability but also their perception of the Arabic language and culture. While the series sufficiently provides the political vocabulary necessary for roles in government, it overlooks the importance of a full understanding of the cultural richness and nuances of the Arabic language necessary for an appreciation of history, arts, and literature of the region. The overarching objective of this project is to analyze the Georgetown University Press Al-Kitaab textbook series for Arabic language instruction and compare it to the Vista Higher Learning Sentieri textbook for Italian language instruction to plan a new Arabic curriculum to increase student enrollment. This comparison will explore recurring themes present in each textbook series and display the detrimental and outdated depictions of Arab culture presented throughout the Al-Kitaab series. Different aspects of the textbooks will be discussed including vocabulary and vocabulary progression, biographies of important figures, in-text activities, reading passages, and recurrent themes. Through revamping the learning materials used to teach Arabic, Arizona State University (ASU) and the School of International Letters and Cultures (SILC) can become innovative leaders in the instruction of university-level Arabic language.

Machine learning is a rapidly growing field, with no doubt in part due to its countless applications to other fields, including pedagogy and the creation of computer-aided tutoring systems. To extend the functionality of FACT, an automated teaching assistant, we want to predict, using metadata produced by student activity, whether a student is capable of fixing their own mistakes. Logs were collected from previous FACT trials with middle school math teachers and students. The data was converted to time series sequences for deep learning, and ordinary features were extracted for statistical machine learning. Ultimately, deep learning models attained an accuracy of 60%, while tree-based methods attained an accuracy of 65%, showing that some correlation, although small, exists between how a student fixes their mistakes and whether their correction is correct.

Theories about the human origin in evolution and religion are fundamentally countering beliefs that are still debated to this day. This study continues to explore this relationship in the college population at a public university with the intention of targeting a diverse religious population. This research hopes to answer the question: does having greater literacy in evolution lead to a noninterventionist perspective on evolution? The prediction is that evidence of increased evolution comprehension will influence students to have a more agnostic, or noninterventionist, view on evolution. An evolution class was given a survey that had two parts broken into demographic and evolution sections with one question that asks about compatibility between evolution and religion. This was given twice in a single semester to track the growth of evolution knowledge and any other differences. There were 265 students in the initial survey, but only 223 responses in the post-survey. The compatibility question had 8 statements that range from creationist to atheistic perspectives and was divided into two sides: interventionist (divine involvement) and noninterventionist (deity may be present but does not intervene). More than 70% of the class had a noninterventionist perspective on evolution despite the Christian categories being the second largest group students identified with after agnostic. The agnostic statement was the top choice followed by the atheistic answer on the noninterventionist side. Lastly, there was some growth of evolution knowledge for each religious category in the evolution section but is not significant for interpretation. Based on the collected data, it is not sufficient to answer the question and requires more data collection via a longitudinal study.

Using a dataset of ASU students from the 2016-2017 cohort, we interact gender and parent education level to observe gaps in academic achievement. We see a statistically insignificant achievement gap for males across parent education level, but a statistically significant achievement gap for females across parent education level. We also observe dropout gaps among these interaction groups. We see the widest dropout gap being between males across parent education level, with the smallest dropout gap being between females across parent education level. So with males we see an insignificant achievement gap but the widest dropout gap across parent education level, and with females we see a significant achievement gap but the smallest dropout gap across parent education level. What is driving these gaps and causing more similarly performing students to drop out at wider rates? At the aggregate level, we see larger gaps in grade- associated dropout probability across parent education level for males which may be able to explain the larger difference in overall proportions of dropouts between males. However, when predicting dropout probability of the semester with the most first generation and non-first generation dropouts, we see that females have the largest differences across parent education level in grade-associated dropout probability. This suggests that our model may be best suited in using college achievement data to predict overall dropout probabilities, not next-semester dropout probabilities using current semester data. Our findings also suggest that first generation students’ dropout probability is more sensitive to the grades they receive than non-first generation students.