Paper ID #23681Reflections of S-STEM Faculty MentorsDr. Suzette R. Burckhard P.E., South Dakota State University Dr. Burckhard earned a BS in Engineering Physics, a BS in Civil Engineering, (both from South Dakota State University) an MS in Physics. an MS in Chemical Engineering, and a PhD in Civil Engineering with emphasis in Environmental Engineering, from Kansas State University. She has been on staff at South Dakota State University since 1997 in the Civil and Environmental Engineering department where she is a professor and program coordinator for the BSCE, MSCE and PhDCE. Dr. Burckhard is a member of ASCE, ASEE
area of drug discovery, therapeutics and nanomaterials.Dr. Armando Dominguez SolisDr. Sandie Han, New York City College of Technology Sandie Han is a Professor of Mathematics at New York City College of Technology. She has extensive experience in program design and administration, including administrative responsibilities as the chair of the math department, Computer Science program coordinator, high school program coordinator, as well as PI on the U.S. Department of Education MSEIP grant and Co-PI on the NSF-S-STEM grants. She has several publications on the theory and practice of Self-Regulated Learning, Mathematics Self-Efficacy, PLTL. Her work in Self-Regulated Learning and self-efficacy has won the 2013 CUNY
Paper ID #23678Student Preferences in Mentoring Practices and Program Features in an S-STEM Scholarship/Mentoring ProgramDr. Suzette R. Burckhard, South Dakota State University Dr. Burckhard earned a BS in Engineering Physics, a BS in Civil Engineering, (both from South Dakota State University) an MS in Physics. an MS in Chemical Engineering, and a PhD in Civil Engineering with emphasis in Environmental Engineering, from Kansas State University. She has been on staff at South Dakota State University since 1997 in the Civil and Environmental Engineering department where she is a professor and program coordinator for the
Paper ID #22415Work in Progress: A Multi-Modal Method for Assessing Student EmotionsDuring Programming TasksMs. S. Zahra Atiq, Purdue University, West Lafayette (College of Engineering) Zahra Atiq is a Ph.D. candidate at the School of Engineering Education at Purdue University. She is in- terested in learning about the non-cognitive/affective and individual/demographic factors that impact stu- dents in STEM courses. Specifically, she is interested in understanding the emotions students’ experience while learning computer programming. She is also interested in understanding women’s participation in computer science and
Paper ID #23384Early-career Plans in Engineering: Insights from the Theory of Planned Be-haviorTrevion S. Henderson, University of Michigan Trevion Henderson is a doctoral student in the Center for Higher and Postsecondary Education (CSHPE) at the University of Michigan. He recently earned his master’s degree in Higher Education and Student Affairs at The Ohio State University while serving as a graduate research associate with the Center for Higher Education Enterprise. Trevion also hold’s a Bachelor’s degree in Computer Science and Engineer- ing from The Ohio State University, where he served as a research assistant in
approach. In J. C. Smart (Ed.), Higher Education: Handbook of Theory and Research, Volume V. (pp 289 – 322). New York: Agathon Press.[6] Weidman, J. C., DeAngelo, L., & Bethea, K. A. (2014). Understanding student identity from a socialization perspective. New Directions for Higher Education, 2014(166), 43 – 51.[7] Ashford, S. J., & Black, J. S. (1996). Proactivity during organizational entry: The role of desire for control. Journal of Applied psychology, 81(2), 199.[8] Ashforth, B. E., Sluss, D. M. & Saks, A. M. (2007). Socialization tactics, proactive behavior, and newcomer learning: Integrating socialization models. Journal of Vocational Behavior, 70(3), 447 – 462.[9] Nauta, M. M. (2007
Paper ID #23055Understanding the Investment of Underrepresented Minorities in DoctoralEngineering ProgramsMs. Mayra S. Artiles , Virginia Tech Mayra S. Artiles is a Ph.D. Candidate in Engineering Education at Virginia Tech. She has a B.S. in Mechanical Engineering from the University of Puerto Rico at Mayaguez and an M.S. in Mechanical Engineering from Purdue University with a focus on nanotechnology. Before her joining the Ph.D. pro- gram, she worked at Ford Motor Company as an Electrified Vehicles Thermal Engineer for four years. As a doctoral student, Mayra has collaborated in research projects on diversity in
design, design thinking, and design innovation project courses. Dr. Lande researches how technical and non-technical people learn and apply design thinking and making processes to their work. He is interested in the intersection of designerly epis- temic identities and vocational pathways. Dr. Lande received his B.S in Engineering (Product Design), M.A. in Education (Learning, Design and Technology) and Ph.D. in Mechanical Engineering (Design Education) from Stanford University.Dr. Shawn S. Jordan, Arizona State University, Polytechnic campus SHAWN JORDAN, Ph.D. is an Associate Professor of engineering in the Ira A. Fulton Schools of En- gineering at Arizona State University. He teaches context-centered electrical
Early Career Award for Scientists and Engineers (PECASE). http://engineering.tufts.edu/me/people/wendell/Dr. Jessica E. S. Swenson, Tufts University, Center for Engineering Education and Outreach Jessica Swenson is a graduate student at Tufts University. She is currently pursuing a Ph.D. in mechanical engineering with a research focus on engineering education. She received a M.S. from Tufts University in science, technology, engineering and math education and a B.S. from Northwestern University in me- chanical engineering. Her current research involves examining different types of homework problems in mechanical engineering coursework and the design process of undergraduate students in project-based courses
, especially in under-resourced schools. In 2016 she was a recipient of the U.S. Presidential Early Career Award for Scientists and Engineers (PECASE). http://engineering.tufts.edu/me/people/wendell/Ms. Jessica E. S. Swenson, Tufts University, Center for Engineering Education and Outreach Jessica Swenson is a graduate student at Tufts University. She is currently pursuing a Ph.D. in mechanical engineering with a research focus on engineering education. She received a M.S. from Tufts University in science, technology, engineering and math education and a B.S. from Northwestern University in me- chanical engineering. Her current research involves examining different types of homework problems in mechanical engineering coursework
University, graduating in 2013. His re- search interests include veterans in engineering, veterans with service-connected disability, post-traumatic stress disorder (PTSD), and human sex trafficking.Dr. Shawn S. Jordan, Arizona State University, Polytechnic campus SHAWN JORDAN, Ph.D. is an Associate Professor of engineering in the Ira A. Fulton Schools of En- gineering at Arizona State University. He teaches context-centered electrical engineering and embedded systems design courses, and studies the use of context in both K-12 and undergraduate engineering design education. He received his Ph.D. in Engineering Education (2010) and M.S./B.S. in Electrical and Com- puter Engineering from Purdue University. Dr. Jordan is PI
Paper ID #23173IUSE Computational Creativity: Improving Learning, Achievement, and Re-tention in Computer Science for CS and non-CS UndergraduatesMarkeya S. Peteranetz, University of Nebraska, LincolnDr. Duane F. Shell, University of Nebraska, Lincoln Duane Shell is Research Professor of Educational Psychology at the University of Nebraska-Lincoln. His primary research areas are learning, self-regulation, and motivational influences on behavior and cognition as these are manifest in education and public health settings. Dr. Shell specializes in multivariate, mul- tidimensional analyses of complex relationships between
Paper ID #21768Using Social Network Analysis to Study the Social Structures of InclusionMr. Nelson S. Pearson, University of Nevada, Reno Nelson Pearson is an Ph.D. student at the University of Nevada, Reno. His research interest includes, social networks and the integration of diverse populations, engineering culture as well as engineering pedagogy. His education includes a B.S. and M.S. in Civil Engineering from the University of Nevada, Reno.Mr. Justin Charles Major, Purdue University, West Lafayette (College of Engineering) Justin C. Major is a first-year Engineering Education Ph.D student and National Science
. in Systems Engineering from the University of Virginia. Her research interests include engi- neering design education (especially in regards to the design of complex systems), faculty development, career pathways (both academic and industry), approaches for supporting education research-to-practice.Dr. Courtney S. Smith-Orr, University of North Carolina, Charlotte Courtney S. Smith,PhD is a Teaching Assistant Professor and Undergraduar Director at UNC Char- lotte. Her research interests span the mentoring experiences of African American women in engineer- ing,minority recruitment and retention, and best practices for diversity and inclusion in the Engineering classroom.Dr. Cheryl A. Bodnar, Rowan University Cheryl
electrical engineering from National Taiwan University, Tai- wan, in 1981, and the M.S. and Ph.D. degrees in electrical engineering from the University of Texas at Arlington, USA, in 1986 and 1989, respectively. He is currently a Distinguished Professor with the Department of Electrical Engineering, National Chiao Tung University, Taiwan. His researches include control, image signal processing, and intelligent system design.Prof. Sunny S. J. Lin, National Chiao Tung University Dr. Sunny S. J. Lin is Educational Psychology Professor at National Chiao Tung University, Taiwan. Her first research interest is in applying cognitive theories of learning and motivation to derive design principles of e-learning function and
, tapping into critical methodologies and methods for conducting and analyzing research, and exploring embodied cognition.Mr. Nelson S. Pearson, University of Nevada, Reno Nelson Pearson is an Ph.D. student at the University of Nevada, Reno. His research interest includes, social networks and the integration of diverse populations, engineering culture as well as engineering pedagogy. His education includes a B.S. and M.S. in Civil Engineering from the University of Nevada, Reno.Mr. Justin Charles Major, Purdue University, West Lafayette (College of Engineering) Justin C. Major is a first-year Engineering Education Ph.D student and National Science Foundation Grad- uate Research Fellow at Purdue University. Justin has two
(PECASE) for his research in e-textile-based wearable computing.Prof. Joseph M. LeDoux, Georgia Institute of Technology Joe Le Doux is the Associate Chair for Undergraduate Learning and Experience in the Department of Biomedical Engineering at Georgia Tech and Emory University. Dr. Le Doux’s research interests in engi- neering education focus on problem-solving, socio-cognitive aspects of the flipped and blended learning environments and on inclusive pedagogies.Dr. Jeremi S. London, Arizona State University, Polytechnic campus Dr. Jeremi London is an Assistant Professor of Engineering at Arizona State University in the Polytech- nic School. London is a mixed methods researcher with interests in research impact
) Robin S. Adams is an Associate Professor in the School of Engineering Education at Purdue University and holds a PhD in Education, an MS in Materials Science and Engineering, and a BS in Mechanical Engineering. She researches cross-disciplinarity ways of thinking, acting and being; design learning; and engineering education transformation.Dr. Jie Chao, The Concord Consortium Jie Chao is a learning scientist with extensive research experience in technology-enhanced learning en- vironments and STEM education. She completed her doctoral and postdoctoral training in Instructional Technology and STEM Education at the University of Virginia. Her past research experiences ranged from fine-grained qualitative mental process
influencing their post-graduation career plans? RQ2. What areas of thinking related to junior and senior engineering students’ career plans are influenced by socializers? RQ3. What areas of thinking related to junior and senior engineering students’ career plans are influenced by specific socializers?To answer these questions, we examined interviews with 62 engineering juniors and seniors fromsix different universities in the U.S. To frame our study, we used Eccles et al.'s Expectancy xValue Theory of Achievement Motivation as this framework provides concrete examples ofways that socializers influence student outcomes.5-7Background Literature and Theoretical FrameworksAlthough research shows that socializers
students’ knowledge about the task-related discipline(s) [24], [25]. In thisstudy, we only focus on the implicit and explicit aspect of task interpretation. This study views task interpretation as an integral part of self-regulation. Self-regulatedlearning (SRL) is a complex, iterative, and situated goal-directed learning process [5], [8], [26].SRL is comprised by the student, learning environment, and learner’s engagement with theenvironment and is affected by student’s emotion and motivation [7], [9], [26]. Student’sengagement starts with task interpretation. Task interpretation is followed by (a) developing aplan based on the task understanding, (b) enacting the plan, (c) monitoring the progress andapproach, and (d) making any
about performance, and then code, gave students visual and textual practice more. The goal is to feedback about the code’s results, and improve performance in particular allowed students to retry or move to a concepts/skills over time. harder level (Chaffin et al., 2009). Gamified academic Students perform common A board game where students answered activity classroom learning task(s) with multiple-choice questions about the task-irrelevant game mechanics learning content to correctly to move (e.g., points, rewards, moving around the
relate to forces and creating free-body diagrams [6]. Moments (of a force)have also been identified as a particular area of confusion for students both because ofconflicting terminologies [3] and their role as “intermediate quantifier[s] of the rotational effectof interactions [between bodies]” [7]. That is, while the net force is the quantity proportional to amass’s translational acceleration, the moment is proportional to the mass’s angular acceleration.That moments build on the already difficult concept of force likely only complicates learning.This work in progress paper describes an early pilot of a study to investigate the process ofconceptual change related to moments in an engineering statics course. Preliminary results fromthe pilot
consider the engineering course they took in theprevious semester that was the most relevant to their current course and to indicate their priorexperience with four of the most commonly used types of instruction in engineering course.These types of instruction include: “listen to the instructor lecture during class,” “answerquestions posed by instructor during class,” “brainstorm different possible solutions to a givenproblem,” and “discuss concepts with classmates during class.” If a student had been exposed tothis type of instruction in the prior course, s/he was also asked how s/he typically responded to itusing four classroom engagement constructs of value, positivity, participation, and distraction(Table 1; DeMonbrun et al., 2017; Fredricks
ProtocolThis conceptual model serves as the basis for a standardized classroom observation protocol thatwill be used to characterize instances of formative assessment. A diagram of the observationprotocol is shown in Figure 2. When a researcher using this protocol observes an instance offormative assessment, they first identify the type of formative assessment from among fouroptions: 1) instructor asks student(s) questions, 2), student asks instructor questions, 3) instructortalks with individual student or group, or 4) instructor implements writing-based formativeassessment. Then, the researcher chooses a response for each code (i.e. each colored box inFigure 2) describing the student and instructor behaviors in that type of formative assessment
motivation and positive engagement [11], [28]-[30]. Onthe contrary, controlling teacher behaviors have been shown to lead to negative motivation typesand restricted engagement [31], [32]. Using structural modeling, Fortier et al. (1995) demonstratethe positive influence of perceived competence and self-determination on autonomousmotivations and academic performance [7]. Greene et al. (2004) illustrate linkages betweenautonomy support and self-efficacy, mastery goals, strategy use, and achievement [33]. Walkeret al.’s path model shows that self-efficacy and intrinsic motivation can predict meaningfulcognitive engagement, while extrinsic motivations predict shallow cognitive engagement [8].Although empirical research that directly links different
thatacademic preparation is typically not one of the main reasons for attrition 4,5. In other words, moststudents who leave academia choose to leave because of their own personal decision, not becausethey failed qualifying exams or are doing poorly in their courses 5–7. Indeed, Barnes et al.’s 8,9studies of graduate attrition showed that the attributions that professors give for their students thatleave are different than the rationale that the corresponding non-completing students give forleaving. The misalignment, misunderstanding, or attribution bias that may exist (from both parties)is worthy of study and is likely due to the issues that have arisen with sampling a sensitivepopulation.Further, most attrition literature takes a sociological view of
models, statewide pre-college math initiatives, teacher and faculty professional development programs, and S-STEM pro- grams.Ms. Olivia W. Murch, Purdue University Senior at Purdue University pursuing a Bachelor of Science degree in Biological, Food Process, Engi- neering. Currently conducting research under Dr. Ferguson through Engineering Education.Dr. Daniel M. Ferguson, Purdue University, West Lafayette (College of Engineering) Daniel M. Ferguson is CATME Managing Director and a research associate at Purdue University. Prior to coming to Purdue he was Assistant Professor of Entrepreneurship at Ohio Northern University. Before assuming that position he was Associate Director of the Inter-Professional Studies
and Their Pedagogical AssessmentAbstractImparting real world experiences in the classroom for a software verification and validation(S/W V&V) course is typically a challenge due to lack of effective Active Learning Tools(ALTs). At Robert Morris University (RMU, the author’s institution), this educational resourcegap has been addressed by developing several ALTs in the form of class exercises, case studies,and case study videos that were created by collaborating with the academia and industrialprofessionals. Through this three-year work 20 delivery hours of case studies, 18 delivery hoursof exercises and 6 delivery hours of role play videos totaling 44 delivery hours of Software V&Vcourse materials have been developed. The developed
teacher professionaldevelopment experience may trickle down to impact student self-efficacy and interest.Fortunately, our research is ongoing with the results of these implementation changes remainingto be seen.AcknowledgmentThis material was supported by the National Science Foundation under Grant DRL-1513175.References[1] National Science Board, "Science and engineering indicators digest 2012," Author, Arlington, VA,2012.[2] K. D. Welde, S. Laursen, and H. Thiry, "Women in science, technology, engineering and math (STEM)," Sociologists for Women in Society, University of Kansas, Lawrence, KS,2007.[3] P. M. Sadler, G. Sonnert, Z. Hazari, and R. Tai, "Stability and volatility of STEM career interest in high school
University Dr. Kristen S Cetin is an Assistant Professor at Iowa State University in the Department of Civil, Con- struction and Environmental Engineering.Renee FlemingDr. Benjamin Ahn, Iowa State UniversityDr. Andrea E. Surovek, South Dakota School of Mines and Technology Dr. Andrea Surovek. P.E. is a research scientist in the area of biomimicry for sustainable construction at the South Dakota School of Mines and Technology. She is a fellow of both ASCE and the ASCE Structural Engineering Institute and was awarded the ASCE Winter award in 2016 for contributions to the field of structural engineering. She is the recipient of the ASEE CE Division Seeley Fellowship and the Mechanics Division Beer and Johnston Outstanding