&M University. He has been a faculty member at Texas A&M since 2002, where his technical specialty is water resources engineering, planning, and management. Prior to this position, he completed his undergraduate and graduate studies at Georgia Tech, where he taught undergraduate courses for 7 years. His professional activities have included projects in East Africa, Central America, the Middle East, Alaska’s North Slope, and throughout the ”lower 48 states.” His current activities at Texas A&M cover a wide spectrum from K-12 outreach and recruiting to undergraduate curriculum design to retention, monitoring, and post-graduation engagement.Dr. Sherecce Fields, Texas A&M University Sherecce Fields, PhD
large, end-of-semester project, online courses should offer many opportunities for quickfeedback. Having many small stakes assignments that continually build upon each other puts theonus on students to stay engaged and current with all course material. Researchers recommendbreaking large assignments into smaller segments; this allows for faster grading and morefeedback to students. Additionally, rubrics and grading schemes should be transparent to studentsso they fully understand expectations [5, pp. 179-182]. Another way to incorporate feedback isthrough gamification. Incorporating game-like qualities into online courses provides timelyfeedback and keeps student engagement high. The best way to gamify a course is to build arunning narrative
this research has focused only on students' difficultiesand only after some formal instruction [1], [2]. Constructivist theories encourage us to considerhow we can help students construct their own knowledge with the experience and knowledgethey bring to our classrooms [3]. The overarching research project had many goals, however,this paper will focus on just two main data-driven goals. The first is to understand whatproductive knowledge experienced students (students who had taken at least threeprogramming courses) bring to code reading that complete novices (students who have neverprogrammed or studied programming before) may not have yet as measured through code-reading accuracy, total reading times, and fixation heatmaps. The second goal
electro- chemical energy storage systems.Dr. Corin L. Bowen, California State University, Los Angeles Corin (Corey) Bowen is a postdoctoral researcher in the College of Engineering, Computer Science and Technology at California State University - Los Angeles, where she is working on the NSF-funded Eco- STEM project. Her engineering education research focuses on structural oppression in engineering sys- tems, organizing for equitable change, and developing an agenda of Engineering for the Common Good. She conferred her Ph.D. in aerospace engineering from the University of Michigan - Ann Arbor in April 2021. Her doctoral research included both technical and educational research. She also holds an M.S.E. in aerospace
bachelor’s degree at Rowan University in New Jersey before attending graduate school for her PhD at the University of Massachusetts in Amherst, MA. Her research interests in- clude engineering communication, process safety, and undergraduate student mental health. Recently, she was awarded an NSF RIEF grant to student mental health-related help-seeking in undergraduate engineer- ing students. She is completing this project in collaboration with faculty members from educational and counseling psychology. With this work, they aim to better understand the help-seeking beliefs of under- graduate engineering students and develop interventions to improve mental health-related help-seeking. Other research interests include
organized concept maps.Assessment Administration Time and Details Provided. Lavi et al.’s [23] assessment had oneof longest administration times with teams submitting their first version of their concept modelsmid-semester and a second version at the end of a semester. With more time, came more levelsof detail as the first conceptual model had to have at least three levels of detail and the secondmodel had to have four or five levels of detail (see “complexity levels” in “Identifying IndividualElements” above). Rehmann et al.’s [27] assessment took place over seven weeks, or half of onesemester, with instructors providing feedback to students on one part of their projects each week.With more time, came more details about a system. In the case of
team hasconducted a research project that provides the environment and its accompanying diverseresources to different universities in North America and South America. In Spring 2016, Prime(pseudonym) University decided to use Freeform for an undergraduate dynamics course.The goal of this study was to examine how students perceived the Freeform learningenvironment at Prime University, whose school context differs from that of Purdue University.Much research has focused on estimating the quantitative impact of educational interventions(especially curricular) on student learning outcomes. However, previous research has paid lessattention to how students perceive the potential affordances of the learning environmentassociated with an intervention
different groups. Such training could promote understandingand cooperation between individuals from different national and cultural groups, contributing tothe success of international engineering projects and technological work.Since this study was exploratory in nature, it suffers from numerous shortcomings that will beaddressed in future work. The sample used in this study was relatively homogenous and notentirely representative. Going forward, future research will use different, more diverse studentsamples.References[1] C. E. Harris, M. Pritchard, M. Rabins, R. James, and E. Englehardt, Engineering Ethics: Concepts and Cases, 6th ed. Cengage Learning, 2018.[2] M. Martin and R. Schinzinger, Introduction to Engineering Ethics, 2nd ed. New
Paper ID #34399Impact of Course Modality on Student Course EvaluationsDr. Matthew Aldeman, Illinois State University Matt Aldeman is an Assistant Professor of Technology at Illinois State University, where he teaches in the Renewable Energy and Engineering Technology programs. Matt joined the Technology department faculty after working at the Illinois State University Center for Renewable Energy for over five years. Previously, he worked at General Electric as a wind site manager at the Grand Ridge and Rail Splitter wind projects. Matt’s experience also includes service in the U.S. Navy as a nuclear propulsion
. Melissa Danforth, California State University, Bakersfield American c Society for Engineering Education, 2021 Paper ID #33690Melissa Danforth is a Professor of the Department of Computer and Electrical Engineering and ComputerScience at California State University, Bakersfield (CSUB). Dr. Danforth was the PI for a NSF FederalCyber Service grant (NSF-DUE1241636) to create models for information assurance education and out-reach. Dr. Danforth was the Project Director for a U.S. Department of Education grant (P031S100081) tocreate engineering pathways for students in the CSUB service area
engineering (CE), are projected to rise more than 10 percentbetween 2019 to 2029 [3]. Additionally, as vacancies increase, so too does the need for studentswith graduate degrees (master’s and doctoral level) in the field [4]. However, in the United States(U.S.) participation in graduate schools is more commonly from international students. Accordingto the survey by the Computing Research Association in 2019, almost 70% of the master’s degreesin computer sciences and 80% in engineering were awarded to international students [5].Meanwhile, 62% of the Ph.D.’s in computer sciences were awarded to international students,followed by 67% in engineering [5]. Yet, participation of domestic students pursuing graduatedegrees in computing is less than 30% in the
indicated through the analysis of time entries (sleeping, exercising, class/studying,socializing) were coded either by valuation of change (negative, positive, neutral) or change induration (more, less, neutral). For these coding items, a single rater completed initial coding ofall entries, and the second rater acted as reviewer, revising codes for clarity and consistency asneeded.Emergent Themes In addition to the structured coding items, each rater independently identified a second setof emergent codes, indicating themes not previously identified in either prior research or thediary entries. The independently derived themes were discussed with the project team andmerged into a second set of four thematic codes: social responsibility
and professional development contexts. She currently serves as principal investigator on three National Science Founda- tion (NSF) research projects. One study (NSF #1621344) is designed to develop, pilot, and validate a set of performance-based tasks delivered within a simulated classroom environment in order to improve pre-service elementary teachers’ ability to facilitate goal-oriented discussions in science and mathemat- ics. The purpose of the second study (NSF #1813254) is to examine and gather initial validity evidence for assessments designed to measure and build K-5th grade science teachers’ CKT about matter and its interactions in teacher education settings. The third grant (NSF #1813476) is focused on
Harvard University. One of his major research interests has been the impact of gender on science careers. This research has resulted in two books (both authored with the assistance of Gerald Holton): Who Succeeds in Science? The Gender Dimension and Gender Differences in Science Careers: The Project Access Study. American c Society for Engineering Education, 2021 Understanding How Social Agents and Communicative Messages Influence Female Students’ Engineering Career Interest from High School to First Semester of CollegeAbstractMany researchers have investigated how to increase female and minority students’ engineeringcareer
research project to evaluate connections between various forms ofsupport (from faculty, TAs, and peers) and multiple forms of course-level engagement (attention,participation, effort, positive and negative emotional engagement) both in traditional and remotelearning. This study focuses on comparing student perceptions of faculty and TA support acrosstraditional (pre-COVID) and remote learning as necessitated by the COVID-19 pandemic. Tworesearch questions guided this comparison.Research Question #1 (RQ1):Do student perceptions of faculty and TA support differ in traditional vs. remote learning?On traditional college campuses, faculty support their students both directly and indirectly duringclass time (e.g. lecture, in-class discussion) and
Research enthusiasm or or commitment to evaluation, expression of or commitment commitment clearly research, potential for CV, research articulated through articulated through future research personal enthusiasm or demonstration of demonstration of research statement commitment interest experience beyond senior project or capstone (research experiences can
-welfare related, human-centred designing frameworks.Dr. Frederic Boy, Swansea University Frederic Boy is an Associate Professor in Digital Analytics and Cognitive Neuroscience at Swansea Uni- versity’s School of Management and an honorary Senior Lecturer in Engineering at University College, London. Previously, he did his PhD in Grenoble University and trained in Cardiff University, where he held a Wellcome Trust VIP fellowship. His research interests include brain science, cognitive psychology, artificial intelligence and biomedical engineering. He is working on a range of multidisciplinary projects at the intersection of neuroscience and engineering, digital humanities and, more recently economics, with a new focus
thisproject and guidance at the early stages of the project. Additionally, the authors thank theDirector of the Cal Poly Pomona Center for the Advancement of Faculty Excellence, Dr.Victoria Bhavsar, for several useful suggestions. Finally, the authors would like to acknowledgethe student researchers Natalia Perez, Tyler McGee, Elizabeth Fajardo, Briana Rodriguez fortheir contributions to running focus groups, conducting data analysis, and writing reports, as wellas student researchers Oscar Paredes, Shikha Gupta, Krusha Patel, Kayla Pavlinac, and DavidDimas for their assistance.7. References[1] P. M. Nissenson, N. Tsuchiya, M. Jawaharlal, and A. Shih, “Creation of an Online Video Tutorial Library at aState University,” in Proceedings of the 2019
focused on high-level feedback in order to receive a high percentage of studentresponses. In addition, the orientation sessions have only been offered a handful of times whichis another contributing factor to limited data. The intent at this stage in the project was to use thesurvey results to gather some high level feedback from student participants to help determinestudent impressions of the event and, more specifically, what aspects of the orientation resonatedwith the students the most.It would be worthwhile to conduct a more expansive long-term study to follow-up with thesestudents to investigate the overall impact of the orientation session on their first-year experience.In addition, it would be informative to survey students who did not
, Ethics Data Visualization 1 Data Visualization Machine Learning 2, 8 Machine Learning, Data Modeling, Artificial Intelligence, Deep Learning Data Mining, Big Data 3, 6 Data mining, Data modeling, systems analysis, Big Data, Data munging Data Science in Context 11 Capstone, Internship, Senior Project, courses in disciplines such as physics, biology, chemistry, the
Paper ID #32809Critical Analyses of Representation and Success Rates of MarginalizedUndergraduate Students in Aerospace EngineeringDr. Corin L. Bowen, University of Michigan Corin (Corey) Bowen is a postdoctoral researcher in the College of Engineering, Computer Science and Technology at California State University - Los Angeles, where she is working on the NSF-funded Eco- STEM project. Her engineering education research focuses on structural oppression in engineering sys- tems, organizing for equitable change, and developing an agenda of Engineering for the Common Good. She conferred her Ph.D. in aerospace engineering from
Network (O*NET) for the U.S. Department of Labor, on the assessment of adult non-cognitive skills, interests, and well-being for the Organisation for Economic American c Society for Engineering Education, 2021 Paper ID #33466Cooperation and Development (OECD), and on assessments of workforce readiness for Educational Test-ing Service (ETS). She has concluded eight grant-funded research projects to date in the role of PI orCo-PI totaling $1.2 million. American c Society for Engineering Education, 2021Development of the Fit of Personal
the most popular major ofchoice among these students—engineering. It also looks at these influences through the lens ofpositive emotional engagement or how students feel as they engage in their studies with theintention of identifying strategies that can help international students thrive in their engineeringstudies in the U.S.MethodsQuantitative research methods were used to analyze ordinal, Likert-scale data from surveysdistributed to undergraduate engineering students. This study is part of a larger, single-institutionresearch project that evaluated the connections between various forms of support (from faculty,TAs, and peers) and multiple forms of course-level engagement (attention, participation, effort,positive and negative emotional
and Physics 1,and students are expected to be proficient in these areas. Grades are based on a weighted averageof two statics exams (40%), one dynamics exam (26%), six quizzes (18%), and two projects(16%). Students must earn a minimum grade of C in the course and at least a 70% exam average tomove on to follow-up courses that require Engineering Mechanics as a prerequisite. Over the pastfour years, the overall passing rate for this course is 72%. The average passing rate was 70%,78%, 70%, and 68%, respectively, from 2017 to 2020.For the fall semester of 2020, the enrollment in the two sections of the course were 45 and 33. Dueto social distancing requirements as determined by the Centers for Disease Control and Prevention(CDC) during the