Montreal, Quebec, Canada
June 22, 2025
June 22, 2025
August 15, 2025
Diversity and NSF Grantees Poster Session
6
10.18260/1-2--55832
https://peer.asee.org/55832
10
Stan Kurkovsky is a professor at the Department of Computer Science at Central Connecticut State University. He earned his PhD from the Center for Advanced Computer Studies of the University of Louisiana in 1999. Results of his doctoral research have been applied to network planning and industrial simulation. Dr. Kurkovsky served and continues to serve as a PI on a number of NSF-sponsored projects, including four S-STEM grants, three IUSE grants, and an REU Site grant. He also received funding from NIH, NSA, and ACM. He has an established record of over 100 peer-reviewed publications in the areas of software engineering, mobile computing, and computer science education.
The Central Connecticut State University (CCSU) Computer Science, Mathematics, and Physics (CSMP) is an innovative scholarship program that exemplifies collaboration between CCSU, Manchester Community College (MCC), and Tunxis Community College (TCC). This partnership is designed to support academically talented, low-income students, particularly those from underrepresented groups, including women and minorities, by creating a robust educational ecosystem that enhances retention and graduation rates in STEM disciplines [1,2].
At the heart of the CSMP is a well-defined transfer pipeline that facilitates smooth student transitions from MCC and TCC to CCSU [3]. By leveraging the strengths and resources of all three institutions, the program ensures that students receive comprehensive support tailored to their unique educational journeys [4]. Faculty from each institution actively engage with students, providing mentorship and guidance to foster academic success and personal growth. This collaborative mentorship is especially critical for underrepresented students who may encounter barriers in reaching their academic goals [5].
Cohort building and promoting a sense of community among scholars from diverse backgrounds is a fundamental aspect of the CSMP program [6]. By forming a closely-knit learning community, students share experiences, collaborate on projects, and support one another throughout their academic journeys. The program encourages participation in co-curricular activities that unite scholars across institutions, such as research seminars, guest lectures, and industry visits. These experiences not only enhance academic learning but also foster lasting connections among peers and faculty.
The initiative emphasizes peer role modeling [7] by inviting past CSMP scholars, particularly those who transferred from MCC and TCC to CCSU, to share their success stories. These role models inspire current students, illustrating the possibilities that lie ahead and reinforcing the importance of perseverance and academic achievement. The strong connections between the institutions facilitate these interactions, creating a supportive environment where students can learn from each other.
Academic integration is further strengthened through the dedicated involvement of faculty across CCSU, MCC, and TCC. Each CSMP scholar is assigned a faculty mentor who monitors their academic progress, provides personalized support, and connects them with additional resources such as tutoring and counseling services. This collaborative approach ensures that scholars are well-equipped to navigate their coursework and succeed in their chosen fields.
The CSMP also prioritizes career commitment by fostering strong ties with local industries. The partnership among the three institutions allows students to access internships and job placement opportunities. Industry representatives are invited to engage with CSMP scholars, offering insights into potential career paths and creating networking opportunities that can lead to employment. This emphasis on career readiness not only enhances the educational experience but also prepares students for successful transitions into the workforce.
Assessment and evaluation play a crucial role in the CSMP, with ongoing tracking of graduation rates, academic performance, and institutional commitment. This data-driven approach allows the program to identify areas for improvement and adapt strategies to better serve students, ensuring the success of the transfer pipeline and the efficacy of cohort-building initiatives.
Kurkovsky, S. (2025, June), BOARD # 451: S-STEM: Building and supporting a robust transfer pipeline in Computer Science, Mathematics, and Physics Paper presented at 2025 ASEE Annual Conference & Exposition , Montreal, Quebec, Canada . 10.18260/1-2--55832
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