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1. BRIDGES: A System to Enable Creation of Engaging Data Structures Assignments with Real-World Data and Visualizations

   https://doi.org/10.1145/2839509.2844635  

   Burlinson, David ; Mehedint, Mihai ; Grafer, Chris ; Subramanian, Kalpathi ; Payton, Jamie ; Goolkasian, Paula ; Youngblood, Michael ; Kosara, Robert ( January 2016 , ACM SIGCSE 2016)

   Although undergraduate enrollment in Computer Science has remained strong and seen substantial increases in the past decade, retention of majors remains a significant concern, particularly for students at the freshman and sophomore level that are tackling foundational courses on algorithms and data structures. In this work, we present BRIDGES, a software infrastructure designed to enable the creation of more engaging assignments in introductory data structures courses by providing students with a simplified API that allows them to populate their own data structure implementations with live, real-world, and interesting data sets, such as those from popular social networks (e.g., Twitter, Facebook).more »BRIDGES also provides the ability for students to create and explore {\em visualizations} of the execution of the data structures that they construct in their course assignments, which can promote better understanding of the data structure and its underlying algorithms; these visualizations can be easily shared via a weblink with peers, family, and instructional staff. In this paper, we present the BRIDGES system, its design, architecture and its use in our data structures course over two semesters.« less
2. Bringing Real-World Data, Interactive Games and Visualizations into Early CS Courses

   https://doi.org/10.1145/3328778.3367011  

   Subramanian, Kalpathi ; Saule, Erik ; Payton, Jamie ( February 2020 , SIGCSE '20: Proceedings of the 51st ACM Technical Symposium on Computer Science Education)

   This workshop provides instructors with a hands-on introduction to BRIDGES, a software infrastructure for programming assignments in early computer science courses, including introductory programming (CS1, CS2), data structures, and algorithm analysis. BRIDGES provides capabilities for creating more engaging programming assignments, including: (1) a simplified API for accessing real-world data sets, including from social networks; scientific, government, and civic organizations; and movie, music, and literature collections; (2) interesting visualizations of the data, (3) an easy to use API that supports creation of games that leverage real-world data, and, (4) algorithm benchmarking. Workshop attendees will engage in hands-on experience with BRIDGES withmore »multiple datasets and will have the opportunity to discuss how BRIDGES can be used in their own courses.« less
3. Bringing Real-World Data and Visualizations of Student-Implemented Data Structures into Sophomore CS Courses Using BRIDGES

   https://doi.org/10.1145/3287324.3287536  

   Subramanian, Kalpathi ; Payton, Jamie ; Saule, Erik ( March 2019 , Proceedings of the 50th ACM Technical Symposium on Computer Science Education)

   This workshop introduces participants to the concepts and use of BRIDGES, a software infrastructure for programming assignments in data structures and algorithms courses. BRIDGES provides two key capabilities, (1) easy to use interface to real world datasets spanning social networks, entertainment (movies on IMDB, song lyrics), scientific data (real-time USGIS Earthquake Data), civic issues (crime data), and literature (books); and (2) a visualization of the acquired data can be used in assignments by students to populate their implemented data structures, including the capability to bring out attributes of the dataset. The visualizations are displayed on the BRIDGES website and aremore »easily shared (with family, friends, peers, etc) via a weblink. Workshop attendees will engage in hands-on experience with BRIDGES and multiple datasets and will have the opportunity to discuss how BRIDGES can be used in their own courses, as well as partner with the BRIDGES team.« less
4. Impacts Resulting from a Large-Scale First-Year Engineering and Computer Science Program on Students’ Successful Persistence Toward Degree Completion

   Ragusa, Gisele ; Allen, Emily L. ; Menezes, Gustavo B. ( June 2020 , ASEE Annual Conference Proceedings 2020)

   There is a critical need for more students with engineering and computer science majors to enter into, persist in, and graduate from four-year postsecondary institutions. Increasing the diversity of the workforce by inclusive practices in engineering and science is also a profound identified need. According to national statistics, the largest groups of underrepresented minority students in engineering and science attend U.S. public higher education institutions. Most often, a large proportion of these students come to colleges and universities with unique challenges and needs, and are more likely to be first in their family to attend college. In response to thesemore »needs, engineering education researchers and practitioners have developed, implemented and assessed interventions to provide support and help students succeed in college, particularly in their first year. These interventions typically target relatively small cohorts of students and can be managed by a small number of faculty and staff. In this paper, we report on “work in progress” research in a large-scale, first-year engineering and computer science intervention program at a public, comprehensive university using multivariate comparative statistical approaches. Large-scale intervention programs are especially relevant to minority serving institutions that prepare growing numbers of students who are first in their family to attend college and who are also under-resourced, financially. These students most often encounter academic difficulties and come to higher education with challenging experiences and backgrounds. Our studied first-year intervention program, first piloted in 2015, is now in its 5th year of implementation. Its intervention components include: (a) first-year block schedules, (b) project-based introductory engineering and computer science courses, (c) an introduction to mechanics course, which provides students with the foundation needed to succeed in a traditional physics sequence, and (d) peer-led supplemental instruction workshops for calculus, physics and chemistry courses. This intervention study responds to three research questions: (1) What role does the first-year intervention’s components play in students’ persistence in engineering and computer science majors across undergraduate program years? (2) What role do particular pedagogical and cocurricular support structures play in students’ successes? And (3) What role do various student socio-demographic and experiential factors play in the effectiveness of first-year interventions? To address these research questions and therefore determine the formative impact of the firstyear engineering and computer science program on which we are conducting research, we have collected diverse student data including grade point averages, concept inventory scores, and data from a multi-dimensional questionnaire that measures students’ use of support practices across their four to five years in their degree program, and diverse background information necessary to determine the impact of such factors on students’ persistence to degree. Background data includes students’ experiences prior to enrolling in college, their socio-demographic characteristics, and their college social capital throughout their higher education experience. For this research, we compared students who were enrolled in the first-year intervention program to those who were not enrolled in the first-year intervention. We have engaged in cross-sectional 2 data collection from students’ freshman through senior years and employed multivariate statistical analytical techniques on the collected student data. Results of these analyses were interesting and diverse. Generally, in terms of backgrounds, our research indicates that students’ parental education is positively related to their success in engineering and computer science across program years. Likewise, longitudinally (across program years), students’ college social capital predicted their academic success and persistence to degree. With regard to the study’s comparative research of the first-year intervention, our results indicate that students who were enrolled in the first-year intervention program as freshmen continued to use more support practices to assist them in academic success across their degree matriculation compared to students who were not in the first-year program. This suggests that the students continued to recognize the value of such supports as a consequence of having supports required as first-year students. In terms of students’ understanding of scientific or engineering-focused concepts, we found significant impact resulting from student support practices that were academically focused. We also found that enrolling in the first-year intervention was a significant predictor of the time that students spent preparing for classes and ultimately their grade point average, especially in STEM subjects across students’ years in college. In summary, we found that the studied first-year intervention program has longitudinal, positive impacts on students’ success as they navigate through their undergraduate experiences toward engineering and computer science degrees.« less
5. First-Year Experience (FYrE@ECST): Pre-Physics Course (WIP)

   Li, Ni ; Menezes, Gustavo B. ; Allen, Emily L ; Nerenberg, Paul ( April 2018 , Proceedings 2018 CONECD Conference)

   The College of Engineering, Computer Science, and Technology (ECST) at California State University, Los Angles, an Hispanic Serving Institution (HSI) with over 60% Hispanic students, is committed to improving graduation rates through the Grad initiative 2025 (the California State University’s initiative to increase graduation rates for all CSU students while eliminating achievement gaps). The majority of our students are under-represented minorities, low-income, Pell-eligible and first generation. Currently, one quarter of the students leaving the major before the second year. Many that “survive” the first two years of math and science do not develop the knowledge and the skills that aremore »needed to succeed in upper division engineering courses, leading to more students unable to finish their engineering majors. Three years ago, we launched a pilot program for the First-Year Experience at ECST (FYrE@ECST) for incoming freshmen. The program focuses on providing academic support for math and physics courses while introducing students to the college community, and comprises a summer bridge program, a hands-on introductory course, cohorted math and science sections, and staff and faculty mentoring. Academic support is provided through peer-led supplemental instruction (SI) workshops. The workshops have led to a significant improvement in student performance in Math, but have had no significant impact in the student performance in physics. Our hypothesis is that students, in addition to having limited understanding of calculus, struggle to understand the fundamental principles of physics and thus cannot apply their knowledge of math to theories in physics to solve problems. This work-in-progress paper describes an inquiry-based hands-on pre-physics course for first-year students as part of the FYrE@ECST program. The course is intended to prepare students for the calculus-based mechanics course in physics and covers about half of the competencies of a classical mechanics course, with focuses on the fundamental concepts of mechanics (i.e. Newton’s Laws, Types of forces, vectors, free-body diagrams, position, velocity and acceleration). Equations are only introduced in the second half of the semester, while the first half is directed to help students develop a deep understanding of these fundamental concepts. During classes, students run simple experiments, watch segments of movies and cartoons and are asked questions (written and orally) which can guide them to think intuitively and critically. A think-pair-share mode of instruction is implemented to promote inquiry and discussion. Students work in groups of five to discuss and solve problems, carry out experiments to better understand processes and systems, and share what they learned with the whole class. The paper presents preliminary results on student achievement.« less