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Conference Session
Technical Session 11 - Paper 2: Completing the engineering and computer science transfer pathway: Transfer students’ post-matriculation experiences through a four-year institution
Collection
2022 CoNECD (Collaborative Network for Engineering & Computing Diversity)
Authors
David B Knight, Virginia Polytechnic Institute and State University; Amy Richardson P.E., Virginia Tech Department of Engineering Education; Dustin Michael Grote, Virginia Tech; Walter C. Lee, Virginia Polytechnic Institute and State University; Bevlee A. Watford, Virginia Polytechnic Institute and State University; Janice Leshay Hall, Florida International University ; Hannah Glisson
Tagged Topics
CoNECD Paper Sessions, Diversity
Mississippi State University. As a 2015 recipient of the National Science Foundation’s Graduate Research Fellowship Program, Hall obtained her Ph.D. in Engineering Education from Virginia Tech.Hannah Glisson American c Society for Engineering Education, 2022In this session we will think about the latter stages of a transfer student’s journey. Much research has focused on pre‐transfer and the first semester post‐transfer, but in this session we will think about students’ experiences beyond that initial semester. We will be drawing on a set of interviews with transfer students who participated in an NSF‐funded SSTEM program.The project is a collaboration between Virginia Tech
Collection
2022 ASEE Illinois-Indiana Section Conference
Authors
Anand Nageswaran Bharath, Cummins Engine Company; Archana V Kulkarni; Dinesh Balaji Ramaraj; Jennifer M. Thomasson, Cummins Inc; Alexa Davis; Demario Robinson; Malavika Panicker; Elizabeth A. Spratt; Tina Henselmeier; Nora Guzman; Arul Antony; Sonya Ware-Meguiar; Danielle Fawbush, Cummins Inc.; Daniel J. O’Connor, Cummins; Kenneth Francis; Jennifer G. Warrenburg
Tagged Topics
Diversity
improvement. For K-12 STEM outreach programs such as this one, assessments suchas proficiency tests are not effective in gleaning information about effectiveness, because theobjective of such outreach programs is to inculcate a positive attitude and build confidence inparticipants about continuing their education in STEM disciplines, i.e. affective measures [18, 19].To evaluate the impact of affective measures, pre- and post-program surveys of participants wouldbe more appropriate to gauge the improvements that students have made. An example of such a © American Society for Engineering Education, 2022 2022 ASEE Illinois-Indiana Section Conference Proceedings | Paper ID 36140survey would be the Friday Institute’s S-STEM
Collection
2022 Spring ASEE Middle Atlantic Section Conference
Authors
Alexander John De Rosa, Stevens Institute of Technology (School of Engineering and Science); Frank T Fisher, Stevens Institute of Technology (School of Engineering and Science); Ashley Lytle
Tagged Topics
Diversity
order to measure adaptiveness as students progress through theirprogram of study. A subgroup of the low-income student population at Stevens will also receivestructured mentoring and guidance designed to aid in their development of AE. The adaptivenessof this cohort will then be tracked and compared to various other groups in the survey populationin order to test the effectiveness of the AE mentoring and interventions used.AcknowledgementsPartial support for this work was provided by the National Science Foundation Scholarships inScience, Technology, Engineering, and Mathematics (S STEM) program under Award No.2130428 and an American Talent Initiative’s Promising Practice Accelerator award funded byBloomberg Philanthropies. Any opinions
Collection
ASEE Middle Atlantic 2022 Fall Conference
Authors
Alexander John De Rosa, University of Delaware; Maxine Fontaine, Stevens Institute of Technology (School of Engineering and Science); Frank T Fisher, Stevens Institute of Technology (School of Engineering and Science); Ashley Lytle
Tagged Topics
Diversity
theperceived importance of adaptiveness among students. In addition, the creation of an interviewprotocol will help foster conversations about educational behaviors and career expectations witha diverse array of undergraduate students.AcknowledgementsPartial support for this work was provided by the National Science Foundation Scholarships inScience, Technology, Engineering, and Mathematics (S STEM) program under Award No.2130428 and an American Talent Initiative’s Promising Practice Accelerator award funded byBloomberg Philanthropies. Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflect the views ofthe National Science Foundation or the American Talent