process, such as including adding a sixth session, were made by the entire group.Throughout the design sessions, all participants offered their insights into everyday practices andco-constructed knowledge relationally and through open dialogue, thus contributing to aparticipatory research and design approach [22, 23]. Within small, large, and “mixed” groupformats, and with an awareness of their relative positions of authority in the School, theparticipants worked together on identifying underlying issues in diversity and inclusion inprofessional formation of engineers and collaborated to create prototype solutions.In design session 1, participants mapped their own professional journey, while reflecting onmoments in childhood, teenage, college
encompass all administrative, coordination, and instructional tasks,decisions, and negotiations implicated in starting a new educational initiative such as the WSMat the LPU under study. We utilize actor-network theory and specifically translation as aframework to categorize the various actions and events observed during the process of creatingthe WSM within the LPU in order to aid in mapping the terrain of this initiative as it begins totake root in new soil (Callon, 1986; Latour, 1987; Tsai, Kotys-Schwartz, & Knight, 2015). Forexample, in actor-network language, the textbook and online resources are examples ofinscriptions: data or information officially recorded in an immutable form for portability andtransfer from one location or another
visualization. MATLAB was chosen for its ability to visualizedata in a multitude of representations. By mapping the time at which each code was used over theentire writing process, we are able to see more detail about the full writing process. We made afew assumptions in order to analyze our data in this way: We assumed that 1) the data aremathematically continuous, such that they can be considered functions, 2) multiple codes couldhappen simultaneously, and 3) the lag time between events the video-data and when they werecoded in the GORP tool were small enough to be ignored.5. ResultsOur research objective was to develop visual representations of time-resolved real-time writingdata. We therefore present multiple representations of the same data set to
motivation to learn.Therefore, additional research into the nature of undergraduate students should be done.Pembridge, et. al. conducted a study at Embry Riddle where he used a survey to determinestudents’ perceptions of various attributes that he roughly mapped to the assumptions inandragogy [14]. This work can be expanded to other institutions to determine whetherundergraduate students meet the assumptions of andragogy early in their education, warrantingthe implementation of andragogical principles. If not, researchers should determine the rate atwhich students may transition on the spectrum from ‘child’ to ‘adult’ learners. The second major area of research may include the impact of incorporating andragogicalprinciples in engineering
and image processing techniques.Mr. Grant Fore, Indiana University-Purdue University, Indianapolis Grant Fore is a Research Associate in the STEM Education Innovation and Research Institute (SEIRI) at Indiana University-Purdue University Indianapolis. As a SEIRI staff member, Grant is involved in both qualitative research and research development. His research interests include ethics and equity in STEM education, the intersubjective experience of the instructor/student encounter, secondary STEM teacher professional development, and issues of power in STEM education discourse. He is also an Anthropology doctoral candidate at the University of Cape Town, where he was previously awarded a Master’s degree. His
Paper ID #23135Critical Incidents in Engineering Students’ Development of More Compre-hensive Ways of Experiencing InnovationDr. Nicholas D. Fila, Iowa State University Nicholas D. Fila is a postdoctoral research associate in Electrical and Computer Engineering and Industrial Design at Iowa State University. He earned a B.S. in Electrical Engineering and a M.S. in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign and a Ph.D. in Engineering Education from Purdue University. His current research interests include innovation, empathy, design thinking, and instructional design
course is meaningful and useful to an audienceof engineering education researchers. We are curious to see if this process of mapping outalternate scales will find resonance in a broader communication community, one outside ourlocal context (Walther, Sochacka, & Kellam, 2013). Rather than seeking to generalize from thesefindings or make definitive policy changes based on how alternate educational scales are made orlived, we wish to highlight their existence and comment on their divergence or convergence ascompared to existing educational scales whose spatial and temporal features have gone largelyunexamined in engineering education in the context of curricular reform.FindingsDrawing on the five aspects of educational scale as defined by
a PhD from Northwestern University.Dr. Vimal Kumar Viswanathan, San Jose State University Dr. Vimal Viswanathan is an assistant professor in the Mechanical Engineering Department at San Jose State University. He earned his Ph.D. from Texas A&M University. His research interests include design innovation, creativity, design theory and engineering education.Dr. Chitra R. Nayak, Tuskegee University Dr. Nayak joined Tuskegee University as an assistant professor in Physics in 2014. After completing her Ph.D (2009) in the area of nonlinear dynamics from Cochin University, India, she worked as a postdoctoral fellow in the interdisciplinary field of bacterial biophysics and immunology at Dalhousie University and
in engineering, where onlyone in seven engineers is a woman. Though “women earn about half the doctorates in scienceand engineering in the United States [they] comprise only 21% of full science professors and 5%of full engineering professors” [14]. A comprehensive study of multiple processes playing a rolein these disparities showed that there was a cumulative effect of advantages for men anddisadvantages for women that built over time to produce highly gendered outcomes by the timethey reached the advanced stages of the education pipeline [15].Thus, the solution to the gendergap in STEM must reach deeper than retention efforts aiming at the college population.Also, a significant gap exists in pay among men and women, even when controlling