- Conference Session
- Technical Session 4 - Paper 4: Developing a Strategy to Include Financially Disadvantaged Undergraduate Students into Graduate Engineering Programs
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- 2022 CoNECD (Collaborative Network for Engineering & Computing Diversity)
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Sanjivan Manoharan, Grand Valley State University; Shabbir Choudhuri, Grand Valley State University; Brian Krug, Grand Valley State University; Paul D. Plotkowski, Grand Valley State University
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CoNECD Paper Sessions, Diversity
Distinguished Alumni award, and other notable awards, in- cluding the Outstanding Young Manufacturing Engineer Award from SME, the Outstanding Teaching award from Pi Tau Sigma, and the Chairman’s Award for Outstanding Contributions to Experiential Ed- ucation from the Cooperative and Experiential Education Division of ASEE. He is former vice president of the American Society of Mechanical Engineers and serves as an ABET evaluator for interdisciplinary, mechanical and manufacturing engineering programs. American c Society for Engineering Education, 2022 Developing a Strategy to Include Financially Disadvantaged Undergraduate Students into Graduate
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- ASEE-NE 2022
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Emily Deterding, University of Massachusetts Lowell; Nathan Agyeman; Susan Thomson Tripathy, University of Massachusetts Lowell; Carter Keough, University of Massachusetts Lowell; Sumudu Lewis, University of Massachusetts Lowell; Kavitha Chandra, University of Massachusetts Lowell
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residential treatment center for adolescent girls in Arlington MA, focusing on program evaluation and outcomes after discharge. Since 2011, Dr. Tripathy has been teaching in the Sociology department at University of Massachusetts Lowell. She received teaching awards for applied and experiential learning in 2013 and 2014, was promoted to Associate Teaching Professor in 2018, and received the UMass Lowell Teaching Excellence Award in Sociology in 2018. From 2016-2019, Dr. Tripathy was the Director of the Bachelor of Liberal Arts program, an interdisciplinary major with an enrollment of 250 undergraduate students. During 2018- 2020, she collaborated with Dr. Kavitha Chandra to utilize participatory action research (PAR) as an
- Conference Session
- Technical Session 8 - Paper 5: Cultivating Inclusivity: A Systematic Literature Review on Developing Empathy for Students in STEM Fields
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- 2022 CoNECD (Collaborative Network for Engineering & Computing Diversity)
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Stephanie Jill Lunn, Georgia Institute of Technology; Cristi L. Bell-Huff, Georgia Institute of Technology; Joseph M LeDoux, Georgia Institute of Technology
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CoNECD Paper Sessions, Diversity
included if empathy development was amajor component examined or considered in the research. Many that integrated empathy did notdirectly explore its growth or development, it was more of a component considered or as part ofthe curriculum rather than the goal of the research. For example, McDonald and Pan (2020)presented feedback from graduate students on ethical considerations for artificial intelligence[49]. While this work elicited insight into prompting consideration of bias and fairness, fosteringempathy was more of an indirect outcome than the phenomena of focus. Alternatively studiesconducted in other countries were excluded since the interpretation and assessment of empathymay vary by culture depending on the societal norms and preferences
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- 2022 ASEE Illinois-Indiana Section Conference
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Pranav Bhounsule, The University of Illinois at Chicago; Cynthia Lima, University of Texas at San Antonio
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Diversity
long term interest in pursuing coding careers, we hypothesize that longercamps spread over one or more academic years to be ideal.Acknowledgement:The authors would like to thank Texas Workforce Commision for funding the camp and the staffof Good Samaritan Community Center, San Antonio, Texas for providing space to hose thesummer campReferences[1] National girls collaborative alliance https://ngcproject.org/statistics Retrieved Dec 3, 2019.[2] Best time to build a love of STEM? It’s after the school day ends, research sayshttps://hechingerreport.org/school-programs-can-boost-interest-stem-research-shows/ Retrieved Dec 22, 2019[3] Grover, S., Pea, R., & Cooper, S. (2016, February). Factors influencing computer science learning in
- Conference Session
- Technical Session 13 - Paper 2: Program: A focused, 5-year effort to increase the number of African American, Hispanic/Latino(a), Native American (AHLN) 7th-grade students who are academically prepared to take algebra
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- 2022 CoNECD (Collaborative Network for Engineering & Computing Diversity)
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Virginia Lynn Booth-Womack, Purdue University at West Lafayette (COE); Saundra Johnson Austin, University of South Florida; Renee Serrell Gibert, Purdue University; Carol S Stwalley P.E., Purdue University at West Lafayette (COE); Lesley M Berhan, The University of Toledo; Tamara Markey, Purdue University, Minority Engineering Program; Cynthia Murphy-Ortega, Chevron Corporation
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CoNECD Paper Sessions, Diversity
by 7th Grade: A focused, 5-year effort to increase the number of AfricanAmerican, Hispanic/Latino(a), and Native American (AHLN) 7th-grade students whoare academically prepared to take algebraABSTRACTWhile research on the impact of after-school programs is not new, there is limited research of the combineduse of online mathematics tools to increase the knowledge and skill level of African American, Hispanic,Latino(a), and Native American students coupled with qualitative feedback from mentoring, parentalinvolvement, and university-based cultural capital. Using the online tool Assessment and LEarning inKnowledge Spaces (ALEKS), this mixed methods study explores the implementation of a university-industry, hybrid model for African American
- Conference Session
- Technical Session 13 - Paper 4: Promoting First-Semester Persistence of Engineering Majors with Design Experiences in General Chemistry Laboratory
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- 2022 CoNECD (Collaborative Network for Engineering & Computing Diversity)
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Corey Payne, University of Florida; Kent J. Crippen, University of Florida
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CoNECD Paper Sessions, Diversity
for use with theMMRE. The research question was addressed with one-way multivariate analysis of variance(MANOVA). When disaggregating the groups by gender and URM status, one-way analysis ofvariance (ANOVA) was used because the bivariate correlations among constructs were low(<0.2). The participant pool was a convenience sample of 169 undergraduate students whoelected to take a lecture course titled General Chemistry for Engineers during the Fall semesterat a large public research university in the southern United States and provided informed consentfor the research. In parallel and without prior knowledge, participants self-enrolled in alaboratory course where two-sections represented our comparison and intervention conditions,one using