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- Creator:
- Barajas, Daniel E.
- Description:
- Continuation high schools serve students for multiple reasons. Among them are low credit attainment, excessive absences, probation status, and discipline problems. Students in these programs often have many educational gaps. In the state of California, continuation high schools have been an educational option for this vulnerable student population since 1919. This segment of the school system seeks to offer students with diverse educational challenges and obstacles a second opportunity to complete their education. Presently, there is little research connected to the success of continuation high school graduates’ level of persistence in any type of higher education. This study examined the influence teacher-student relationships had on a particular group of continuation high school students who, in spite of challenges associated with continuation-education deficit mindset, were able to attain academic success in higher education. The study sought to explore how the practices of comprehensive high school sites intersected with those of a specific continuation high school. Social Capital and Critical Race Theory provided the conceptual lens to analyze teacher–student relationships. The researcher captured students’ and teachers’ perceptions in order to analyze how their interactions and relationships could be strengthened to ensure student academic success and provide continuation high school students with options upon high school graduation.
- Resource Type:
- Dissertation
- Campus Tesim:
- San Marcos
- Department:
- Education
- Creator:
- Taylor, Mary
- Description:
- This study focused on both the voice and experience of successful Black students in higher education as well as the factors, both internal and institutional that they perceive as contributors to their success. This research is important because while a breadth of research exists that examines Black students and their relationship to higher education, much of it is framed in a deficit-based line of inquiry. As a response, and inspired by critical race theory (CRT) and Harper’s (2012) anti-deficit achievement framework (ADAF), this study focused on successful Black college students’ stories and what might be learned from them. The literature shows that Black students bring a variety of strengths and abilities to their higher education experience that merit further attention by both researchers and educators especially since these students achieve in spite of the challenges so widely documented in the deficit-based literature. Using a narrative research approach, this study identified eight high-achieving students and explored their experiences, their success, and the factors they perceived as contributors to their achievement. Additionally, this study sought to highlight the students’ experiences as a counternarrative to the existing discourse, add to the existing body of asset-based research and inquiry, enlist study participants as partners in the research process, facilitate their storytelling and amplify their voices. Data collected from eight semi-structured interviews and photojournal entries was restoried and coded for themes that yielded rich and meaningful insight into the strengths successful Black students bring to research and practice. The findings of this study reinforced those of the other asset-based researchers highlighted within this study and strengthen the need for more studies of this type. Study findings also included stories that were the result of the collaboration between researcher and participant as well as the themes that provided insight into their perceptions of the factors contributing to their success. Lastly, participants showed themselves to be willing and capable partners in the research process and offered a wealth of information that informed assertions relevant to research and practice. Among these were the importance of early influences, the students’ strengths, the importance of their peers, and the ways that their lived experiences can inform a higher standard of research inquiry and care in the higher education setting.
- Resource Type:
- Dissertation
- Campus Tesim:
- San Marcos
- Department:
- Education
- Creator:
- Hellams, Ruth E.
- Description:
- “The more things change, the more they stay the same.” Jean-Baptiste Alphonse Karr Dissatisfaction with the current state of the nation’s public schools continues to reveal itself through repeated efforts to transform the traditional, long-standing core elements known as the “grammar of schooling” (Tyack & Tobin, 1994). Generational rhetoric on the failed state of traditional public education and a drive for equitable outcomes for all students serve as guideposts for many school reform efforts. It is the need to reveal the systems and structures supporting changes to the traditional architecture of schools that has inspired me to conduct this research. This dissertation explores how a nontraditional high school, nested within a traditional district, supports and sustains its nontraditional model. Through a case study approach this research utilized interviews with administrative and teaching staff and an analysis of key documents, policies, and practices. Central to this study was an examination of the school’s core values and the practices of competency-based education (CBE) that served to shape and influence the school’s direction and nontraditional model. Emergent themes from this research were analyzed through the lens of Fullan and Quinn’s (2016) Coherence Framework and their four identified drivers for systems improvement. Findings illustrate that school structures which intentionally foster relationships and build opportunities for teacher collaboration contribute to the long-term sustainability of school reform and help influence and shape a school’s direction. Furthermore, clarity of expectations for teaching and learning, when outlined in a school’s mission and vision statement, can serve as guideposts for long-term sustainability. Guidance and support with respect the CBE model was especially important. Lastly, these findings underscore the importance of site leadership in maintaining balance between the needs of the school and the district as essential to sustaining the school’s nontraditional approach. By identifying factors and conditions serving to sustain the school’s nontraditional approach, the findings of this study can assist others who seek to change the traditional architecture of schooling currently dominates most schools.
- Resource Type:
- Dissertation
- Campus Tesim:
- San Marcos
- Department:
- Education
- Creator:
- Ehsan, Rahal
- Description:
- There is a lack of published, successful strategies to monitor and manage glycemic levels in individuals with Type 2 diabetes mellitus (T2DM) and Substance Use Disorder (SUD). Individuals with SUD report difficultly maintaining a healthy diet and integrating appropriate lifestyle modifications to effectively manage diabetes long-term. This grant proposal aims to study the impact of an educational intervention with the use of a continuous glucose monitor (CGM) device for management of blood glucose. HgA1c levels will be the primary variable to demonstrate glycemic control as it directly correlates with reductions in long term complications and mortality. The impact of the study will provide evidence of the usefulness and acceptability of a CGM device in management of diabetes in this population that will support adoption of these tools in diabetes education programs. Ultimately, the results of this study seek to reveal a strategy for individuals with T2DM and SUD that will result in improved health outcomes.
- Resource Type:
- Graduate project
- Campus Tesim:
- San Marcos
- Department:
- Nursing
- Creator:
- Kanagala Mukhul
- Description:
- The importance of a good recommendation system is of high necessity in the modern world,where almost all businesses are being available online. In the large scale e-commerce websites like amazon,Walmart, e-bay,Costco and Alibaba etc have been using these recommender systems for a long time. These recommender systems play a major role in their success and profits in their business too.Not only e-commerce websites but other sources of entertainment like Netflix, Youtube, Hulu, Spotify use this recommender systems to provide a better experience to the users. As we can see that these recommendation systems are being used by all types of industries, every company uses a different type of technique and algorithms to build these recommender systems. This paper suggests the use of new approach to estimate the similarity and make the appropriate recommendation to the users.
- Resource Type:
- Graduate project
- Campus Tesim:
- San Marcos
- Department:
- Computer Science & Information Systems
- Creator:
- Ahmed, Osman Mohammed Viquar
- Description:
- This project aims on automating the task of a receptionist that includes recognizing people and interacting with them in real time using concepts of Deep Learning exploiting a ML model-based Face Recognition system as the main feature. This would allow a hotel or an office to use this system to have an efficient reception system that will accept customers, interact with them, recognize new or existing faces using facial recognition and schedule appointments or book rooms, etc. The system will allow a customer to feed in facial data and use the algorithm to store that information as an existing customer. From that point on, it used the same recognition anytime the customer logs in again. The project efficiently allows us to record new faces into the system in real-time and later match the same when the user returns with added security features. In addition, the software will be able to interact with the user in real-time and schedule meetings, etc. The main aim of this project is to implement the concepts of machine learning and allow for an efficient facial recognition system with added features for security and an efficient GUI.
- Resource Type:
- Graduate project
- Campus Tesim:
- San Marcos
- Department:
- Computer Science & Information Systems
- Creator:
- Jimenez, Maria
- Description:
- This exploratory study examines residents’ perspectives and experiences of a traditionally Latinx immigrant neighborhood on the precipice of gentrification. Inspired by insights from critical race theory and existing studies on the relationship of gentrification and civil gang injunctions, I interviewed seven Mexican American long-term residents of Barrio Posole, an Oceanside, California neighborhood with three civil gang injunctions in place against former and current residents. Findings highlight Posole residents’ observations of a neighborhood whose character is starting to change from a working-class Latinx neighborhood to an upper-middle-class white one. Many longstanding residents have been pushed out of the neighborhood due to police harassment and the physical upgrades to the neighborhood that increased its cost of living. In spite of the disruptive forces at hand, some residents resist by staying in Barrio Posole, making good use of use of community resources, and advocating on behalf of the Latinx families who have long lived in the neighborhood.
- Resource Type:
- Masters Thesis
- Campus Tesim:
- San Marcos
- Department:
- Sociology
- Creator:
- Irungaray, Mickayla, Atassi, James, Quinonez, Claudia, and Fahrtosh, Jasmine
- Description:
- Starting March 2020, the COVID-19 pandemic caused a variety of changes in American youth and adolescent’s daily activities during the span of the shelter-in-place. Due to the establishment of shelter-in-place by the government, school closures have forced students to attend classes virtually. This has impacted the physical activity of youth and adolescents in one way or another since they lack the same access to in-person physical education they had before the shelter-in-place order. The goal of this project was to examine how COVID-19 shelter-in-place orders affect the physical activity level of youth and adolescents. A survey was designed to collect data from parents about their children in regard to the effects of COVID-19 on their physical activity levels, which portrayed negative effects. Based on the results, appropriate health communication strategies were created to promote and increase physical activity among youth and adolescents during a shelter-in-place.
- Resource Type:
- Graduate project
- Campus Tesim:
- San Marcos
- Department:
- Nursing
- Creator:
- Vadlamudi, Shirisha
- Description:
- Motor vehicle crashes involving drowsy driving are huge in numbers all over the world. Many studies revealed that 10 to 30% of crashes are due to drowsy driving. Fatigue has costly effects on the safety, health, and quality of life. We can detect this drowsiness of driver using various methods, e.g., algorithms based on behavioral gestures, physiological signals and vitals. Also, few of them are vehicle based. Drowsiness of driver was detected based on steering wheel movement and lane change patterns. A pattern is derived based on slow drifting and fast corrective steering movement. We developed a prototype that detects the drowsiness of an automobile driver using artificial intelligence techniques, precisely using open-source tools like TensorFlow Lite on a Raspberry Pi development board. The TensorFlow model is trained on images captured from the video with the help of object detection using Cascade Classifier. In order to have a better accuracy, an Inception v3 architecture is used in pre-training the model with the image dataset. We create and train the final model using long short-term memory (LSTM) and then convert the final TensorFlow model to TensorFlow Lite model and use this lite model on Raspberry Pi board to detect the drowsiness of driver.
- Resource Type:
- Graduate project
- Campus Tesim:
- San Marcos
- Department:
- Computer Science & Information Systems
- Creator:
- Bhaganagre, Seema
- Description:
- The novel Coronavirus 2019 or commonly known as the Covid-19 has so far been the worst pandemic that could hit the human race. Initially, the World Health Organization (WHO) called it an epidemic and later declared it a pandemic after a large-scale community transmission through the globe. The Data gathered is from about 209 countries that were reported by the WHO for Covid-19 in India. In this paper, we are going to take a look at the demographic view of the cases reported throughout the country and later use different Machine Learning models to predict the future of this variable pandemic. The methodology followed is to study and examine the datasets and then build a model with the help of three regressions like Support Vector Regression (SVR), Polynomial Regression (PR), and Deep Learning Regression model (DLR). The results of this experiment would forecast the future of this uncertain pandemic and give us a predicted value for the twenty and help us understand and visualize it with graphs plotted with the help of matplotlib in python. Also, the common information about the deaths, affirmed and recovered cases throughout the world over the time length, makes a difference in assessing the near future. For added evaluation or future viewpoint, case definition and data combination must be well-kept diligently. Hence fixing place the preventive measure can effectively manage the spread of Covid-19 and also the death rate is going to be reduced and eventually be controlled in India as well as the other countries.
- Resource Type:
- Graduate project
- Campus Tesim:
- San Marcos
- Department:
- Computer Science & Information Systems
- Creator:
- Tanikella, Umabhanu
- Description:
- This project aims to build a model that can give results on whether a financial institution can approve credit cards to its customer. This card approval decision by financial companies is done based on considering various reasons related to individuals varying from creditworthiness, loan and repayment history, and income standards. This model can help an institution to make a precise judgment on whether a card can be approved or denied for avoiding fraudulence that can impact financial companies with loss. Through the project work, I tried to examine what are the keynote features or requirements considered for issuing a credit card to consumers by financial institutions by evaluating the existing data set from a machine learning repository through machine learning visualization and analysis techniques.
- Resource Type:
- Graduate project
- Campus Tesim:
- San Marcos
- Department:
- Computer Science & Information Systems
- Creator:
- Luvsanjambaa, Odon and Alulema, Kaitlin
- Description:
- Adolescents who have opioids introduced in the household have delayed social emotional development, poor grades, and may be more likely to use drugs at a young age. Drug use is a barrier to a healthy environment for children. Addicted parents may be more distant with their children so they may not form an emotional bond or have healthy parenting. The goal of this capstone was to develop an inclusive program for children and adolescents exposed to household opioid use based on a review of the relevant literature. This project was guided by the Health Belief Model. To construct this program, the focus is on three goals: 1) helping adolescents improve their grades, 2) providing socioemotional support services, 3) and education on drugs. Studies prove that there should be more support programs available for long term effects on children exposed to opioids. With the opioid epidemic affecting more populations, it is important to research and to develop public health programs for children affected by opioid use in the household.
- Resource Type:
- Graduate project
- Campus Tesim:
- San Marcos
- Department:
- Nursing
- Creator:
- Juárez Núñez, Cynthia Karina
- Description:
- Background: There is insufficient evidence to determine if current nutrition incentive among the Hispanic population with a focus on increasing food security results in healthy eating patterns as well. Study Goal: This retrospective study aims to evaluate if monetary incentives and nutrition education result in food security and healthy eating habits. Results: Food security is increased with additional monetary with the introduction of monetary incentives to purchase fresh produce. Conclusion: The qualitative and qualitative analysis showed no change in healthy eating habits resulting from nutrition education from the Mas Fresco, More Fresh! program, there was a statistical change in healthier eating habits by the incentives provided by an increase of quantity and variety of fruits and vegetables consumed by the participants.
- Resource Type:
- Masters Thesis
- Campus Tesim:
- San Marcos
- Department:
- Nursing
- Creator:
- Krishnaswamy Sundararajan, Jeyshree
- Description:
- Polycystic ovarian syndrome (PCOS) is one of the predominant hormonal imbalances present commonly in women of reproductive age. PCOS needs to be diagnosed and treated at an earlier stage since they are inter-related to diabetes, high cholesterol levels, and obesity. This paper presents an application specially designed for women that helps them to keep track of their BMI, Blood Sugar, and Blood Pressure based on their age. Those who are diagnosed with PCOS (an endocrine disorder) can use this application to make their life easy as it helps follow certain exercises, diets, and timely reminders for water and medicines. The application also has other features like the period tracker to track the user’s monthly menstrual cycle, dieticians near you through google maps, links to various supplements for PCOS, users can also track their moods during different menstrual phases starting from the menstrual cycle, follicular phase, ovulation phase to luteal phase, thereby getting suggestions on how to control their mood swings during respective phases. It also suggests certain adaptogen herbs with their medical property to be consumed for curing PCOS. Finally, the application has games to add that interactive touch.
- Resource Type:
- Graduate project
- Campus Tesim:
- San Marcos
- Department:
- Computer Science & Information Systems
- Creator:
- Ghori, Shunaiz Rafiahmed
- Description:
- The health-care industry is coming up with new techniques every day to improve the quality of service and treatment methodology. Prominent application of Artificial intelligence is done to serve these purposes. The enormous data generated by the health-care industry is used by the IT industry, who analyze it, and try to develop solutions for everyday problems that arise in the field of medicine. This research paper is based on a diagnostic tool built to help with the assessment of bloodwork reports and interpret it to know of any occurrence of diseases. The tool has value because it helps the examinee to get cost effectively an explanation of what the blood examination report holds and assist in any further diagnosis and treatment at any stage. The aim of the research is also to make a cost-effective tool so as to reduce the high cost-incurring clinic appointments and other expenses around it, while giving the examinee all the information they need to understand the report. The tool currently predicts the occurrence of Diabetes, Breast Cancer, Cardiovascular Diseases and Obesity, and the results show that the model is promising and effective in its prediction. It helps with suggestions if critical help is needed right away or self-measures can be taken to reduce the existing condition, like lifestyle changes, dietary changes, exercises etc. To overcome this challenge, we have used Machine Learning techniques and Algorithms and open source datasets from Kaggle. The model is deployed for everyone to use at shunaizz.pythonanywhere.com/ as a Cloud-based Application.
- Resource Type:
- Graduate project
- Campus Tesim:
- San Marcos
- Department:
- Computer Science & Information Systems
- Creator:
- Gomez, Joanna
- Description:
- The majority of the Biomanufacturing Students at MiraCosta College are considered to be high-risk. More than 75% are economically disadvantaged, more than 20% are veterans and military dependents, and more that 15% first in the family to earn higher education (Figure 5). To identify best practices of a Student Success Specialist at MiraCosta College six qualitative surveys were conducted. Two surveys were conducted to learn about the student population and monitor their progress and were conducted at the beginning and end of the first year in the program. Two additional surveys were conducted during the second year, the first of which was designed to find out about employment needs and the second queried job readiness/performance. Finally, a follow up survey was conducted six months post-graduation to gauge program satisfaction and learn about wage gain and job performance of graduates. In addition to gain better understanding of the role of Student Success Specialist and how to work with students, three in person interviews were conducted with experts in the field.
- Resource Type:
- Graduate project
- Campus Tesim:
- San Marcos
- Department:
- Biological Sciences
- Creator:
- Cabuto Lopez, Nadia
- Description:
- All students need their teachers to implement culturally sustaining curricula specifically targeted to their needs. Unfortunately, this need is not always met, especially with minority students. This project seeks to address the needs of Spanish heritage language learners at the high school level; it consists of a unit of study developed specifically to help meet the needs of these heritage language learners by helping them learn about their own heritage culture while strengthening their academic language skills in Spanish. Students first explore important historical figures that helped shape the Hispanic world, and practice and improve their oracy skills by creating and delivering a presentation. Then, the unit strengthens students’ written language by guiding them to create persuasive paragraphs and then an essay. The topics that pertain to persuasive writing include La Quinceañera and the Dream Act. The unit concludes with an extension activity that asks students to write a letter to Congress in favor of the Dream Act, DACA or another social cause of their choice, as instilling sociopolitical consciousness in students is another goal of this project. Students utilize what they learned about persuasion to write their letters. The unit employs the SIOP (Sheltered Instruction Observation Protocol) and the TLC (Teaching and Learning Cycle) methods to make the content accessible and create scaffolds along the way. Research needs to be conducted to determine the curriculum’s effectiveness on improving student self-image, self-confidence in the language skills, and to measure the impact of sociopolitical consciousness in students.
- Resource Type:
- Graduate project
- Campus Tesim:
- San Marcos
- Department:
- Education
- Creator:
- Carvajal, Claudia
- Description:
- Success for students begins for students in kindergarten, where they must acquire strong literacy skills. These literacy skills are inclusive of the foundational skills students require for reading and writing. Research supports reading failure is higher for English Language Learners, low-income families, and ethnic minority groups (NELP, 2009). Additionally, Latinx parents have reported facing many barriers when learning the skills and strategies to help their children (Durand, 2011; Quiocho & Daoud, 2006; Thurmond, 2020). Moreover, due to the current COVID-19 pandemic these concerns have been exacerbated, and low- income parents report they are concerned their children are falling even further behind (Menansce Horowitz, 2020). The inequities of the digital divide are now more apparent than ever, after it was reported that hundreds of thousands of students still lacked the basic digital tools and skills (Thurmond, 2020). In order to address these issues this project was created with the purpose of educating Latinx parents with literacy and digital skills they can utilize to help support their children using Google Classroom. These workshops bring to the forefront as well as integrate Latinx parents’ funds of knowledge, in order to support their children’s learning. These Latinx parent workshops consist of ten workshops to utilize parents’ Funds of Knowledge and integrate the skill sets parents possess in order to support learning digital literacy skills and strategies. Furthermore, Latinx parents will learn about digital tools and devices available to them through Google Classroom in order to continue supporting their children at home.
- Resource Type:
- Graduate project
- Campus Tesim:
- San Marcos
- Department:
- Education
- Creator:
- Mitra, Arghadeep
- Description:
- The process of segregating waste prompts the generation of energy out of waste, diminishing landfills, recycling, and reduction of waste. Erroneous disposal of waste leads to recycling contamination. Contamination is a tremendous issue to the recycling industry that can be alleviated with automatic computerized waste sorting. The presence of models or strategies which help people to sort trash has become extremely important in the right discard of that garbage. Even though there are various sorts of recycling categories, many people remain confused or cannot appropriately recognize how to decide the right trash bin to dispose of every trash. Waste management and systematic sorting of them are considered to be a significant role in ecological development around the world. Society needs to lessen waste by recycling and reusing discarded materials that result in reducing environmental problems. This project aims to create an automated waste detection system using a deep learning algorithm that will gather the waste images or videos from a camera with object recognition, detection & prediction, and categorize the waste materials like cardboard, glass, metal, paper, plastic, and trash so that the waste can be properly dumped in the recyclable and non-recyclable bin.
- Resource Type:
- Graduate project
- Campus Tesim:
- San Marcos
- Department:
- Computer Science & Information Systems
- Creator:
- Brewer, Courtney
- Description:
- The ever-increasing global demand for animal products and the need for intensified livestock agricultural operations has resulted in the evolution and development of concentrated animal feeding operations (CAFOs). Although CAFOs have desirable economic benefits, significant environmental and global health impacts have been documented including the development of antimicrobial resistance, production of manure and wastes, and issues related to water management and contamination. The main objective of this study is to synthesize information from published literature regarding the environmental and global health impacts of widespread use of antibiotics, manure management, and water usage and contamination in CAFOs. Additionally, the study aimed to provide recommendations for more sustainable CAFO practices. This systematic literature review involved a 2-staged search process utilizing various databases to identify relevant literature published within the past decade. Included were 8 studies categorized into 3 major themes: antimicrobial resistance, manure management, and water use and contamination. Key findings showed widespread use of antibiotics in CAFOs is correlated with a global increase of antimicrobial resistance; extensive amounts of manure produced from CAFOs contributes to emergence of diseases and GHGs; and significant water usage and wastewater production from CAFOs is unsustainable and creates opportunities for the contamination of water resources, particularly groundwater in many local communities throughout the world. Education of all CAFO stakeholders, public awareness, and sustainable technological solutions are needed to ensure sustainability. Additionally, there is an urgent need to promote and enforce risk-mitigation strategies, unifying national regulations and best practices to minimize environmental public health impacts from CAFOs.
- Resource Type:
- Masters Thesis
- Campus Tesim:
- San Marcos
- Department:
- Nursing