Mixed Method Study of impact of KS-LSAMP summer research experiences on STEM students from underrepresented groups.
Le résumé fourni par la source
The Kansas Louis Stokes Alliance for Minority Participation (KS-LSAMP) provides opportunities for URM students to engage in faculty-led individual research projects during both the academic year and the summer. The summer opportunities, called RiPS (Research immersion: Pathways to STEM) are part of a new program to be developed by the Alliance. Students transferring to KSU from one of the Alliance partner institutions as well as eligible students who entered KSU as freshmen are invited to participate in a summer research experience. Students, with the help and support of their research mentor, conduct an independent research project related to their area of focus and gain invaluable insight and skills in the areas of STEM in which they are most interested. Ongoing data are collected to study the impacts of participation in the KS-LSAMP summer RiPS program on the interest in STEM education, interest in and commitment to STEM careers, STEM self-efficacy and postsecondary education success efficacy, etc. The research utilizes a quasi-experimental design and mixed methodology. For each summer cohort, data are collected before and after the summer experience (one group pre-post comparison) and once a year annually for the duration of the project (time series design). This study describes the study methodology and the findings for the first two cohorts of students. Pre-post survey data showed positive changes in student interest, attitudes and self-efficacy related to STEM. Students who participated in the first two RiPS cohorts responded favorably and enthusiastically to the experience. In a focus group conducted at the conclusion of the summer RiPS program, students expressed that the program was a positive, unique experience that made them want to continue in the STEM field and return to K-State.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.