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A 2019 report from the National Academies on Minority Serving Institutions (MSIs) concluded that MSIs need to change their culture to successfully serve students with marginalized racial and/or ethnic identities. The report recommends institutional responsiveness to meet students “where they are,” metaphorically, creating supportive campus environments and providing tailored academic and social support structures. In recent years, the faculty, staff, and administrators at California State University, Los Angeles have made significant efforts to enhance student success through multiple initiatives including a summer bridge program, first-year in engineering program, etc. However, it has become clear that more profound changes are needed to create a culture that meets students “where they are.” In 2020, we were awarded NSF support for Eco-STEM, an initiative designed to change a system that demands "college-ready" students into one that is "student-ready." Aimed at shifting the deficit mindset prevailing in engineering education, the Eco-STEM project embraces an asset-based ecosystem model that thinks of education as cultivation, and ideas as seeds we are planting, rather than a system of standards and quality checks. This significant paradigm and culture transformation is accomplished through: 1) The Eco-STEM Faculty Fellows’ Community of Practice (CoP), which employs critically reflective dialogue[ ][ ] to enhance the learning environment using asset-based learner-centered instructional approaches; 2) A Leadership CoP with department chairs and program directors that guides cultural change at the department/program level; 3) A Facilitators’ CoP that prepares facilitators to lead, sustain, update, and expand the Faculty and Leadership CoPs; 4) Reform of the teaching evaluation system to sustain the cultural changes. This paper presents the progress and preliminary findings of the Eco-STEM project. During the first project year, the project team formulated the curriculum for the Faculty CoP with a focus on inclusive pedagogy, community cultural wealth, and community building, developed a classroom peer observation tool to provide formative data for teaching reflection, and designed research inquiry tools. The latter investigates the following research questions: 1) To what extent do the Eco-STEM CoPs effectively shift the mental models of participants from a factory-like model to an ecosystem model of education? 2) To what extent does this shift support an emphasis on the assets of our students, faculty, and staff members and, in turn, allow for enhanced motivation, excellence and success? 3) To what extent do new faculty assessment tools designed to provide feedback that reflects ecosystem-centric principles and values allow for individuals within the system to thrive? In Fall 2021, the first cohort of Eco-STEM Faculty Fellows were recruited, and rich conversations and in-depth reflections in our CoP meetings indicated Fellows’ positive responses to both the CoP curriculum and facilitation practices. This paper offers a work-in-progress introduction to the Eco-STEM project, including the Faculty CoP, the classroom peer observation tool, and the proposed research instruments. We hope this work will cultivate broader conversations within the engineering education research community about cultural change in engineering education and methods towards its implementation. 

Abstract We present a two-species population model in a well-mixed environment where the dynamics involves, in addition to birth and death, changes due to environmental factors and inter-species interactions. The novel dynamical components are motivated by two common mechanisms for developing antibiotic resistance in bacteria: plasmidtransformation, where external genetic material in the form of a plasmid is transferred inside a host cell; andconjugationby which one cell transfers genetic material to another by direct cell-to-cell contact. Through analytical and numerical methods, we identify the effects of transformation and conjugation individually. With transformation only, the two-species system will evolve towards one species’ extinction, or a stable co-existence in the long-time limit. With conjugation only, we discover interesting oscillations for the system. Further, we quantify the combined effects of transformation and conjugation, and chart the regimes of stable co-existence, a result with ecological implications. 

With support from NSF Scholarships in Science, Technology, Engineering, and Mathematics (S-STEM), the Culturally Adaptive Pathway to Success (CAPS) program aims to build an inclusive pathway to accelerate the graduation for academically talented, low-income students in Engineering and Computer Science majors at [University Name], which traditionally serves the underrepresented and educationally disadvantaged minority students in the [City Name area]. CAPS focuses on progressively developing social and career competence in our students via three integrated interventions: (1) Mentor+, a relationally informed advising strategy that encourages students to see their academic work in relation to their families and communities; (2) peer cohorts, providing social support structure for students and enhancing their sense of belonging in engineering and computer science classrooms and beyond; and (3) professional development from faculty who have been trained in difference-education theory, so that they can support students with varying levels of understanding of the antecedents of college success. To ensure success of these interventions, the CAPS program places great emphasis on developing culturally responsive advisement methods and training faculty mentors to facilitate creating a culture of culturally adaptive advising. This paper presents the CAPS progress in the past two project years. In particular, we will share several changes that we have made after the first project year to improve several key components of the program - recruitment, cohort building, and mentor training. The program strengthened the recruitment by actively involving scholars and faculties in reaching out to students and successfully recruited more scholars for the second cohort (16 scholars) than the first cohort (12 scholars). Also, the program has initiated new activities for peer-mentoring and cohort gathering within each major. As continuous development of the mentor training, the program has added a training session focusing on various aspects of intersectionality as it relates to individual’s social identities, and how mentors can use these knowledge to better interact with mentees. In addition to these changes, we will also report findings on how the program impacted on scholars’ academic growth and mentors’ understanding about the culturally adaptive advisement to answer the CAPS research questions (a) how these interventions affect the development of social belonging and engineering identity of CAPS scholars, and (b) the impact of Mentor+ on academic resilience and progress to degree. The program conducted qualitative data collection and analysis via focus group meetings and interviews as well as quantitative data collection and analysis using academic records and surveys. Our findings will help enhance the CAPS program and establish a sustainable Scholars Support Program at the university, which can be implemented with scholarships funded by other sources, and which can be transferred to similar culturally diverse institutions to increase success for students who have socio-economic challenges. 

Metamodeling has been a topic of longstanding interest in stochastic simulation because of the usefulness of metamodels for optimization, sensitivity, and real- or near-real-time decision making. Experiment design is the foundation of classical metamodeling: an effective experiment design uncovers the spatial relationships among the design/decision variables and the simulation response; therefore, more design points, providing better coverage of space, is almost always better. However, metamodeling based on likelihood ratios (LRs) turns the design question on its head: each design point provides an unbiased prediction of the response at any other location in space, but perhaps with such inflated variance as to be counterproductive. Thus, the question becomes more which design points to employ for prediction and less where to place them. In this paper we take the first comprehensive look at LR metamodeling, categorizing both the various types of LR metamodels and the contexts in which they might be employed.