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Promoting equitable undergraduate engineering education is an overarching concern at many minority-serving institutions (MSI). In addition, historical analysis of student performance in lower-division math and engineering courses at one of the largest MSI revealed an achievement gap in performance between the underrepresented minority students and other students. Furthermore, critical analysis of underlying factors overwhelmingly suggests that academic intervention coupled with sociocultural intervention may be a possible solution to help address this problem. Academic and sociocultural intervention strategies were designed and implemented in lower-division math courses through the National Science Foundation-funded project, “Building Capacity: Advancing Student Success in Undergraduate Engineering and Computer Science (ASSURE-US).” These strategies involved application-based math courses targeted explicitly at undergraduate engineering students. Results of academic intervention strategies in the lower-division math courses at one of the largest MSI demonstrate mixed effectiveness. The results of the academic intervention in lower-division Calculus I (N=150) show that 36% of students reported that the intervention was helpful and helped them learn math, while 38% were neutral. Overall, students reported having difficulty connecting the projects with the mathematics being taught. Similarly, only 10% of students expressed satisfaction with the redesigned intervention modules implemented in Integral Calculus II (N=90), while 52% were neutral.more »Free, publicly-accessible full text available June 29, 2023
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Promoting equitable undergraduate engineering education is an overarching concern at many minority-serving institutions (MSI). In addition, historical analysis of student performance in lower-division math and engineering courses at one of the largest MSI revealed an achievement gap in performance between the underrepresented minority students and other students. Furthermore, critical analysis of underlying factors overwhelmingly suggests that academic intervention coupled with sociocultural intervention may be a possible solution to help address this problem. Academic and sociocultural intervention strategies were designed and implemented in lower-division math courses through the National Science Foundation-funded project, “Building Capacity: Advancing Student Success in Undergraduate Engineering and Computer Science (ASSURE-US).” These strategies involved application-based math courses targeted explicitly at undergraduate engineering students. Results of academic intervention strategies in the lower-division math courses at one of the largest MSI demonstrate mixed effectiveness. The results of the academic intervention in lower-division Calculus I (N=150) show that 36% of students reported that the intervention was helpful and helped them learn math, while 38% were neutral. Overall, students reported having difficulty connecting the projects with the mathematics being taught. Similarly, only 10% of students expressed satisfaction with the redesigned intervention modules implemented in Integral Calculus II (N=90), while 52% were neutral.more »Free, publicly-accessible full text available June 26, 2023
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United Nations recognized access to safe drinking water as a human right, yet many countries in the developing world lack access to potable water. Recurrent incidences of water-borne illnesses have a devastating effect on the morale and personal well-being of many people living in developing countries, contrasting the achievement of the UN’s objective. Qualitative and semi-quantitative approaches used for risk assessment are often ineffective, time-consuming, and do not discern the risk due to ingestion of unsafe drinking water at the global scale. This research utilizes a global dataset of drinking water facilities to evaluate the risks using a clustering approach. Extensive data analysis involving predetermined risk thresholds, the exceedance of which indicates the potential adverse risk. These risk-thresholds are based on the JMP Service Ladder, which effectively utilizes density-based spatial clustering of applications. Risk analysis of 132 datasets was conducted to designate the risk categories ranging from low, medium, and high-risk. Of the dataset analyzed, 90 areas were designated as a low-risk category while 42 were medium-risk. Overall, the clustering approach is an excellent tool to analyze a large dataset for risk assessment which will help the potential stakeholder, including the water utility manager, to assess the potential risk duemore »
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In order to contextualize calculus, first-year engineering students take on a semester-long design project that grounds engineering design as an epistemic practice. The project is designed to motivate students to creatively and collaboratively apply mathematical modeling to design roller coasters. Students are asked to engage as engineers and respond to a hypothetical theme park that has solicited design proposals for a new roller coaster. Students are required to use various mathematical functions such as polynomials and exponentials to create a piece-wise function that models the roller coaster track geometry. The entire project is composed of five modules, each lasting three weeks. Each module is associated with a specific calculus topic and is integrated into the design process in a form of a design constraint or performance metric. The module topics include continuity, smoothness, local maxima and minima, inflection points, and area under the curve. Students are expected to refine their models in each module, resulting in the iteration of the previous design to satisfy a new set of requirements. This paper presents the project organization, assessment methods, and student feedback. This work is part of a multi-year course intervention and professional development NSF project to increase the success of underrepresentedmore »
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The Introduction to engineering (EGGN-100) is a project-based course offered every fall semester to first-year students with undecided engineering majors at California State University, Fullerton (CSUF). The primary objective of this course is to provide project-based learning (PBL) and introduce these students to major projects in Civil, Mechanical, Electrical, and Computer Engineering projects so that they can make an informed decision about their major. The PBL is an active learning method that aims to engage students in acquiring knowledge and skills through real-world experiences and well-planned project activities in engineering disciplines. The course comprises four team-based unique projects related to Civil, Mechanical, Electrical, and Computer Engineering. The project involves using a variety of engineering tools like AutoCAD, Multisim, and Arduino platforms. For the first time, due to the COVID-19 pandemic, the hands-on project-based EGGN-100 course was offered virtually. In this research, we document the learning experiences of students who attended EGGN-100 in a traditional face-to-face mode of instruction and students who participated in the same course in a virtual instruction mode. Surveys conducted during seemingly different modes of instruction show varying levels of satisfaction among students. Of the students who attended the course in traditional and instructional instruction mode, 69%more »
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ASSURE-US program, started in 2018 through NSF funding, targets first- and second-year engineering and computer science students, especially those underrepresented ones, enrolled at California State University, Fullerton (CSUF) to foster socio-cultural interaction, demonstration-based learning experiences, and curriculum-related research experiences of students. Our activities have affected nearly 400 out of the approximate 4700 students enrolled in engineering and computer science programs at CSUF as of Fall 2020, with many of them as first-year freshman students. In this paper, we present the preliminary findings of the two first-year enrichment programs in ASSURE-US: the student teacher interaction council (STIC) and student summer research, and lessons learned from two years’ implementation of the project in order to improve the project implementations for future years.
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n order to contextualize calculus, first-year engineering students take on a semester-long design project that grounds engineering design as an epistemic practice. The project is designed to motivate students to creatively and collaboratively apply mathematical modeling to design roller coasters. Students are asked to engage as engineers and respond to a hypothetical theme park that has solicited design proposals for a new roller coaster. Students are required to use various mathematical functions such as polynomials and exponentials to create a piece-wise function that models the roller coaster track geometry. The entire project is composed of five modules, each lasting three weeks. Each module is associated with a specific calculus topic and is integrated into the design process in a form of a design constraint or performance metric. The module topics include continuity, smoothness, local maxima and minima, inflection points, and area under the curve. Students are expected to refine their models in each module, resulting in the iteration of the previous design to satisfy a new set of requirements. This paper presents the project organization, assessment methods, and student feedback. This work is part of a multi-year course intervention and professional development NSF project to increase the success of underrepresentedmore »
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In order to contextualize calculus, first-year engineering students take on a semester-long design project that grounds engineering design as an epistemic practice. The project is designed to motivate students to creatively and collaboratively apply mathematical modeling to design roller coasters. Students are asked to engage as engineers and respond to a hypothetical theme park that has solicited design proposals for a new roller coaster. Students are required to use various mathematical functions such as polynomials and exponentials to create a piece-wise function that models the roller coaster track geometry. The entire project is composed of five modules, each lasting three weeks. Each module is associated with a specific calculus topic and is integrated into the design process in a form of a design constraint or performance metric. The module topics include continuity, smoothness, local maxima and minima, inflection points, and area under the curve. Students are expected to refine their models in each module, resulting in the iteration of the previous design to satisfy a new set of requirements. This paper presents the project organization, assessment methods, and student feedback. This work is part of a multi-year course intervention and professional development NSF project to increase the success of underrepresentedmore »
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Despite national efforts in increasing representation of minority students in STEM disciplines, disparities prevail. Hispanics account for 17.4% of the U.S. population, and nearly 20% of the youth population (21 years and below) in the U.S. is Hispanic, yet they account for just 7% of the STEM workforce. To tackle these challenges, the National Science Foundation (NSF) has granted a 5-year project – ASSURE-US, that seeks to improve undergraduate education in Engineering and Computer Science (ECS) at California State University, Fullerton. The project seeks to advance student success during the first two years of college for ECS students. Towards that goal, the project incorporates a very diverse set of approaches, such as socio-cultural and academic interventions. Multiple strategies including developing early intervention strategies in gateway STEM courses, creating a nurturing faculty-student interaction and collaborative learning environment, providing relevant, contextual-based learning experiences, integrating project-based learning with engineering design in lower-division courses, exposing lower-division students to research to sustain student interests, and helping students develop career-readiness skills. The project also seeks to develop an understanding of the personal, social, cognitive, and contextual factors contributing to student persistence in STEM learning that can be used by STEM faculty to improve their pedagogical andmore »