this happens, many students obtain only a superficial understanding of the issues involvedin the assignment.To help address these problems, we are experimenting with using the Web for the distribution,debugging, and collection of VHDL programming assignments1. In our senior-level computerarchitecture class, a student can use a standard Web browser for the compilation and simulation ofVHDL code for specific hardware modules. Code is submitted through an HTML form interfaceand the results of the simulation are returned via an HTML table. This simple interface allows stu-dents to avoid tool complexities and concentrate on code development. Since the VHDL compila-tion and simulation tools run on a university server, there is no need for installing
problems correctlyinstead of awarding partial credit for incorrect work. While these grading approaches have beenused successfully in a wide variety of courses, implementation in courses of the scale we describehere is far from a solved problem. Even the phrase “large enrollment” may mean very differentthings to different instructors. A class size of 76 is sometimes described as large[3] but stillallows for reassessment during office hours as a foundational aspect of the course design. Thatcould not work with over 400 students.In prior work [4], we described our first effort to implement a standards-based, mastery-basedgrading scheme in a large enrollment Differential Equations (for Engineers) course and identifiedthe following significant
Paper ID #43258Board 72: Adaptive Affect-Aware Multimodal Learning Assessment Systemfor Optimal Educational InterventionsMr. Andres Gabriel Gomez, University of Florida I am a second year MS student in the department of Electrical & Computer Engineering at the University of Florida. My research interests include, but are not limited to, computer vision in healthcare (i.e., medical image segmentation), AI for clinical workflows, and education technologies. I am currently working on cardiac magnetic resonance imaging (CMRI) segmentation and pursuing an independent study project in education technology. I hope to
et al,, 1981]. An understanding of the various factors which affect this volubility can begained by the undergraduate student through properly designed experiments.Background and Theory Supercritical fluid extraction exploits the unique behavior displayed by a material at a temperature andpressure slightly above its critical point. At a temperature slightly above the critical point of the solvent, theproperties of the fluid vary smoothly from liquid-like behavior to gas-like behavior without the abrupt change in1 Present Address: PPG Industries, Inc., PO, Box 1000, Lake Charles, LA 70602 Page 1.403.1
is anaccomplished fact.5 Researchers and their students in many scientific and engineering disciplinesare using these technologies but need to further develop the ability to synthesize knowledge fromtheir measurements and understand their limitations. MacEachren6 discusses the role that thecreation of maps plays in the development of new knowledge and modern GIS systems withspatial database and visualization capabilities provide this capability.GIS systems enhance field work by providing the capability to analyze measurements gatheredin the field based on their value and location and to carry the results of processing thisinformation back to the field later in a visual form for both further data acquisition and datamaintenance. The
Assistant to the Vice Provosts. Prior to joining Duke, she was an associate professor with tenure at the University of Florida in the Department of Computer & Information Science & Engineering. She also served as an associate professor and in- terim co-chair in the School of Computing at Clemson University. Her research focuses on the design, implementation, and evaluation of technologies, programs, and curricula to support diversity, equity, and inclusion in STEM fields. Currently, through this work, she is the Backbone Director for the Alliance for Identity-Inclusive Computing Education as well as Education and Workforce Director for the Athena AI Institute. Having garnered over $40M in funding from public and
instructordynamic data exchanging (DDE) for the can insert several fault or interrupting points ininteraction. A dynamic data base is designed to the training sequence, set time scale for thestore the real time calculation results of the training and add or delete contents in thegenerator model such as voltage, current, active knowledge screen. As for the trainee mode, the Page 3.223.2and reactive power, etc., which are used for student may have two choice of learningupdating the display of meters in the interface methods, i.e., comprehensive training methodthrough DDE hot link
requirements were carried out through the story.ImplementationIn the first class, students read the story and then were divided into groups for discussion. Duringdiscussion, each group had to draw a layout of GUI design. One from each group presented theirGUI layout to the rest of class. Questions were raised and criticisms were exchanged. Studentswere very actively involved in discussion. They raised questions thinking of the character in thestory with their understanding of oil spill, the law firm with its clients. 3In the second class, students were asked to identify a list of items in the Java programminglanguage that they need to learn in order for
Paper ID #41794Linking First-year Computing Courses to Engage Commuter StudentsDr. Lily Liang, University of the District of Columbia Dr. Lily Rui Liang is a full professor and Graduate Program Director at the Department of Computer Science and Information Technology, University of the District of Columbia. Dr. Liang joined the University of the District of Columbia in 2004 after receiving her Ph.D. in Computer Science and Engineering from the University of Nevada, Reno, Nevada. Her research areas include computer science education, cybersecurity, artificial intelligence, and digital image processing. She has mentored
Paper ID #17240Towards a Framework for Educational University-Industry Cooperation: In-dustry PerspectiveProf. Victor Taratukhin, Stanford University Victor Taratukhin received his Ph.D. in Engineering Design in 1998 and Ph.D. in Computing Sciences and Engineering in 2002. Victor was a Lecturer in Decision Engineering and Module Leader (IT for Product Realization) at Cranfield University, UK (2001-2004), SAP University Alliances Program Director (2004- 2012). He is Managing Director, Competence Center ERP at European Research Center for Information Systems (ERCIS), University of Muenster, Germany (2012-present) and Visiting
current research focuses on integrating project management processes in undergraduate education. Her main goal is to understand how work management and product development practices widely used in industry can be modified and adapted to streamline undergraduate STEM education.Dr. Alejandra J. Magana, Purdue University Alejandra J. Magana, Ph.D., is the W.C. Furnas Professor in Enterprise Excellence in the Department of Computer and Information Technology and Professor of Engineering Education at Purdue University. ©American Society for Engineering Education, 2024 Effectiveness of Scrum in Enhancing Feedback Accessibility among Undergraduate Research Students: Insights from Integrated Feedback
Paper ID #24609The Challenge of Higher Education – Employability: Does the WorkforceHave What Employers NeedEvan Harpenau, Evan M. Harpenau, M.S. Mr. Evan M. Harpenau is currently a Radiological Engineer at Consolidated Nuclear Security, LLC. for the U.S. Department of Energy. Mr. Harpenau holds undergraduate and graduate degrees from Purdue University in Radiological Health Science/Health Physics and Leadership, Technology, and Innovation, respectively. Mr. Harpenau has 13 years of Applied Health Physics experience including radiological de- contamination and decommissioning projects across the country; domestic
an example, one group chose to data mine the popularonline real-time strategy (RTS) game StarCraft II in an attempt to uncover patternsamong the decisions made by top-level players of the game. As another example, oneproject team developed a music search engine by scanning popular RSS feeds fromwebsites such as Reddit.com. In addition to compiling many music results from multiplefeeds, the results were ranked based on popularity contributed by multiple metrics.Another interesting project proposed by a project team was to develop an applicationtoolkit to demonstrate how artificial neural networks can solve classification problems.Instead of applying or developing novel data mining algorithms, this project aimed athelping people understand the
2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgeport, CT, USA. An Educational Approach to Best Practices for Improving Operational Analytical Data Integration Success Zannatun Nayeem Tauhid Uddin Mahmood Dan Tenney Analytics and Systems, School of Analytics and System, School of Technology Management, School Business Business of Engineering University of Bridgeport University of University of Bridgeport Bridgeport, Connecticut, USA
Paper ID #42294Exploring the Landscape of Graduate Student Mental Health: Populations,Methods, and Terminologies-Who is Missing from the Conversation?Miss Motahareh Darvishpour Ahandani, Arizona State University, Polytechnic Campus Motahareh Darvishpour Ahandani is currently pursuing her Ph.D. in Engineering Education Systems and Design at Arizona State University. Serving as a research assistant, she brings with her six years of industry experience as a woman engineer. Her research interests focus on the mental health of international engineering graduate students, with a particular emphasis on the experiences of
Paper ID #35963A Closed-form Algorithm to Shadow Segmentation using a Single ImageProf. Michael G Joseph, University of Bridgeport BS and MS in Computer Science and Engineering PhD student at the University of Bridgeport, Computer Science and EngineeringDr. Khaled Elleithy, University of Bridgeport Dr. Elleithy is the Dean of the Collage of Engineering, Business and Education at the University of Bridgeport. He is a Distinguished Professor of Computer Science and Engineering. His research interests includes wireless sensor networks, mobile communications, network security, quantum computing, and formal approaches
Paper ID #33868Overcoming Perfectionism: My Journey with the Binary MindsetHaleh Barmaki Brotherton, Clemson University Haleh Barmaki Brotherton is a graduate student in the Department of Engineering and Science Education at Clemson University. Her research interests include perfectionism, self-regulation, and decision-making. She earned her BS and MS from Middle East Technical University and Istanbul Technical University in Industrial Design respectively. She earned her second MS in Industrial Engineering and Engineering Management from South Dakota School of Mines and Technology.Dr. Marisa K. Orr, Clemson University
undergraduate degrees: a Bachelor of Science degree in Electronics Technology from Indiana State University and a Bachelor of Science degree in Electrical Engineering from the University of Evansville. Mark has competed in several IEEE SoutheastCon student hardware contests and was the co-designer of the University of Evansville’s 2006 winning entry “Gizmo”. Page 13.26.1© American Society for Engineering Education, 2008 A Correlation Detector SimulationAbstractIn some detection processes, such as radar, sonar, and seismology, the cross-correlation of aknown signal and a time-delayed version of the
at Midwood High School, Brooklyn, NY. He is part of the Medical Science Program/Research track at Midwood High School. His interests are in biochemistry and research in the medical field.Dr. Yu Wang, New York City College of Technology Dr. Wang received a doctoral degree in Electrical Engineering from the CUNY Graduate Center and joined the Department of Computer Engineering Technology at New York City College of Technology in 2009. Her research areas of interest are in engineering education, biomedical sensors, optoelectronics, modeling real-time systems, embedded system design, deep neural network and machine learning. American c Society for
Paper ID #7611Improved retention and recall with a peer reviewed writing assignmentAmy Michelle Clobes, University of Virginia Amy Clobes is a Ph.D. candidate in the Department of Biomedical Engineering at the University of Virginia. She received her B.S. in Biology from the University of Michigan. Clobes’s research focuses on the intermolecular interactions of cardiac myosin binding protein C with actin and the regulatory effects of nitrosylation on these interactions.Dr. William H Guilford, University of Virginia Dr. Will Guilford is an associate professor of Biomedical Engineering at the University of Virginia, and
. at Friedrich- Schiller-University in Jena, Germany for his theoretical work on transparent conducting oxides. Before he started at UIUC he worked as a Postdoctoral Researcher at Lawrence Livermore National Laboratory on a project that aimed at a description of non-adiabatic electron ion dynamics. His research revolves around excited electronic states and their dynamics in various materials using accurate computational methods and making use of modern super computers in order to understand, for instance, how light is absorbed in photo-voltaic materials. c American Society for Engineering Education, 2018 Measuring Student Learning of Crystal Structures
Paper ID #42316Board 300: Impact of Virtual Reality on Motor-Skill Performance in Childrenwith Autism Spectrum DisorderNgoc Chung Tran, Orange Coast CollegeIrene X Liang, Cornell University Irene X. Liang is a sophomore majoring in Cognitive Science in the College of Arts and Sciences at Cornell University. She has a strong interest in behavioral and computational neuroscience and aspires to pursue graduate studies in psychology.Ting A&M University-San Antonio LiuDr. Damian Valles, Texas State University Dr. Damian Valles is an Ingram School of Engineering Electrical Engineering Assistant Professor at Texas State
Paper ID #37970Developing Computational Thinking skills and STEM+CCareer Interest through Adaptive Content Curation forMiddle School StudentsEmmanuel Johnson (Postdoctoral Research Associate) Post Doctoral Research Associate USC Information Sciences InstituteTeresa M Ober (Assistant Research Professor) (University of Notre Dame)Philip GonsalvesMayank Kakodkar (Purdue University at West Lafayette (COE))Janice Zdankus (Vice President, Office of CTO) © American Society for Engineering Education, 2022 Powered by www.slayte.com Developing Computational Thinking skills and STEM+C Career
remember, understand, apply, analyze, evaluate, and create) inherent in documents.3.2. Data Collection and Text Processing.Data Collection. Figure 2 depicts the four-step process used in this study: 1) Data Collection andInventory, 2) Extraction of relevant text (i.e., competencies), 3) Text pre-processing, and 4) topic(noun) and level (verb) extraction.Figure 2. Steps to Processing Documents using NLPAs Figure 2 shows, Step 1 involved the collection and inventory of documents to be used in theanalysis (in this case AM Curriculum Framework and AM Competency Model). As a surrogatefor employers’ valued competencies, we used the 2010 DOL’s AM Competency Model [14]. Wealso used the 2019-20 CTE Curriculum Framework for Engineering Technology
require all studentsto revise and resubmit their reports for a third time to make sure they are reading andincorporating my changes. Students know they will receive an incomplete in the course unlessthey complete the submission process for all four labs.Helping Students Understand RelevanceBy about the third lab report, many students are audibly wondering why I didn’t become anEnglish professor instead of an engineering professor, because I’m so picky about their writing.In an attempt to help students understand the importance of being able to express their ideasclearly and correctly in writing, I created a short Canvas assignment called “Why I’m Such aStickler about Lab Reports and Writing.” The assignment links to a copy of a 1.5 page
University studying to get her Ph.D. in Engineering and Science Education. Her area of interest is Diversity and Inclusion in Engineering. She holds a bachelor’s degree in electrical engineering from Florida State University.Dr. Matthew Voigt, Clemson University Matthew (he,him,his) is an Assistant Professor of Engineering and Science Education at Clemson Uni- versity. His research interests center around issues of equity, access, and power structures occurring in undergraduate STEM programs with a focus on introductory mathematics courses.Dr. Eliza Gallagher, Clemson University Eliza is an Assistant Professor of Engineering and Science Education at Clemson University, with joint appointments to the School of Mathematical
development, engineering education, project management and teamwork. Her current research focuses on integrating project management pro- cesses in undergraduate education. Her main goal is to understand how work management and product development practices widely used in industry can be modified and adapted to streamline undergraduate STEM education. ©American Society for Engineering Education, 2023 Literature Review of Analyzing and Predicting Students’ Performance in Examinations AbstractBackground: Student dropout continues to be a critical problem in education. The soonerstudents at risk of dropping out are identified, the
Paper ID #43077Board 188: A Legacy of Success: The High Achievers in STEMDr. Rahman Tashakkori, Appalachian State University Rahman Tashakkori received his PhD in Computer Science from Louisiana State University in 2001. He serves as the Lowe’s Distinguished Professor of CS and director for LSAMP and S-STEM programs at Appalachian State University.Dr. Jennifer R. McGee, Appalachian State UniversityDr. Cindy Norris, Appalachian State University ©American Society for Engineering Education, 2024 A Legacy of Success: The High Achievers in STEM Abstract - There are well-known and widespread
ASEE 2014 Zone I Conference, April 3-5, 2014, University of Bridgeport, Bridgpeort, CT, USA. BUILDING A STRONG BRAND AND MANAGING BRAND Nan Feng Technology Management School of Engineering, University of Bridgeport Bridgeport, CT USA nanfeng@my.bridgeport.edu Abstract— This Article based on the objective that how to need to let consumers know and believe their brand. Five setsbuild a strong brand and the reason why people need to build a of propositions linking product-positioning
Session 1532 Teaching Genetic Algorithms with a Graphical User Interface Gregory J. Toussaint, Daniel J. Pack, and Randy L. Haupt United States Air Force Academy Abstract - Over the past several years, genetic algorithms have emerged as a powerful tool forsolving optimization problems in engineering. Genetic algorithms model biological evolution on thecomputer using the principles of natural selection, mating and mutation. Although the subject has beenpredominantly studied at the graduate level, undergraduate students can easily master the concepts. We