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ERN: Emerging Researchers National Conference in STEM

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Insight and Experience Gained through Two Global Research and Education Experience Programs Supported by NCAT ACE DSA Project

Faculty #92
Discipline: Mathematics & Statistics
Subcategory: STEM Science and Mathematics Education

Guoqing Tang - North Carolina A&T State University
Co-Author(s): Hong Wang, Department of Management, Department of Mathematics and Statistics, North Carolina A&T State University, Greensboro, NC; Zhong Jin, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, China; Xinjuan Li, Office of International Cooperation and Exchange, Henan Polytechnic University, Jiaozuo, Henan, China



It is well known that global learning experience is a high-impact educational practice that helps students explore cultures, life experiences, and worldviews different from their own. STEM fields are becoming increasingly global, and there is a growing demand for STEM professionals who can work effectively in international settings. However, only 16% of study abroad students were majoring in the STEM fields, compared to 23% of all US undergraduates and even fewer URM STEM students. The research and study abroad component of NCAT ACE project addresses the latter issue by providing URM students from NCAT by offering a 2-week spring academic and research exploration (ARE) program at Henan Polytechnic University and a 8-week summer international research experiences for students (IRES) program at Nanjing University of Science and Technology in China to better prepare them to be globally competitive. In this poster presentation we will share the insight and experience gained through two global research and education experience programs supported by our NSF HBCU-UP ACE Implementation Project entitled, ‘Data Science and Analytics Advancing STEM Education at North Carolina A&T State University.’ Specifically we will present both ARE and IRES program design, project activities, student experiences and reflection.

Funder Acknowledgement(s): NSF HRD 17-19498

Faculty Advisor: None Listed,
NSF Affiliation: HBCU-UP

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This material is based upon work supported by the National Science Foundation (NSF) under Grant No. DUE-1930047. Any opinions, findings, interpretations, conclusions or recommendations expressed in this material are those of its authors and do not represent the views of the AAAS Board of Directors, the Council of AAAS, AAAS’ membership or the National Science Foundation.

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