. One KickStarter HSI, aparticipant in HSI ATE Hub Cohort 1, submitted a proposal to ATE and remains underconsideration for an award. Thirty HSIs have participated in the first six Cohorts ofMentor-Connect of which 23 submitted proposals to ATE, with an award rate of 70%. It isworth noting three declinations and two missed submissions during Mentor-Connect were laterawarded ATE grants on subsequent attempts. Before the HSI ATE Hub, 10 HSIs from 3KickStarter Cohorts submitted proposals to ATE, with an award rate of 75%. An additional 24proposals were submitted to other NSF programs (e.g. HSI, S-STEM) by 2-year HSIs inKickStarter with an overall award rate of 50%.Cohort 1Of 32 total applicants to Mentor-Connect, 22 were accepted to the Mentor
this field including learning and predictive analytics for student success, S-Stem NSF grant, Research Practitioner Partnership NSF grant, and Spatial Reasoning Impact Study in CS1.Nasrin Dehbozorgi, University of North Carolina at Charlotte Researcher and Ph.D. candidate in the department of Computer Science at University of North Carolina at Charlotte. Conducting research in the area of CSE by applying AI/NLP to do learning analytics, devel- oping models to operationalize attitude in collaborative conversations and pedagogical design patterns.Aileen Benedict, University of North Carolina at Charlotte Aileen Benedict is a Ph.D. student and GAANN Fellow at UNC Charlotte, who has been mentored in teaching since 2016
National Center for Women in Information Technology (NCWIT) and, in that role, advises computer science and engineering departments on diversifying their undergraduate student population. She remains an active researcher, including studying academic policies, gender and ethnicity issues, transfers, and matriculation models with MIDFIELD as well as student veterans in engi- neering. Her evaluation work includes evaluating teamwork models, broadening participation initiatives, and S-STEM and LSAMP programs.Dr. Susan M Lord, University of San Diego Susan M. Lord received a B.S. from Cornell University in Materials Science and Electrical Engineering (EE) and the M.S. and Ph.D. in EE from Stanford University. She is
success in their chosen majors. Thisdecision was also a result of the authors’ interest on SVS literature and the successful experienceof offering a pilot face-to-face (FTF) training on campus to improve SVS for 6 talented, low-income students in an NSF S-STEM scholarship program in Spring ’14. Previous studies in theSVS subject [1], [2], [3] report that well-developed SVS lead to students’ success in Engineeringand Technology, Computer Science, Chemistry, Computer Aided Design and Mathematics.Bairaktarova et al. [4] mention that aptitude in spatial skills is gradually becoming a standardassessment of an individual’s likelihood to succeed as an engineer.Support from industry provided the funds needed to acquire training materials created by Sorby