behavioral sciences, 3.9% in engineering, 1.9% in physical sciences,and 1.4% in mathematics, statistics, and computer sciences (NSF, 2015). Additionally, there hasalso been low progression of women holding jobs in STEM fields after graduation. The U.S.Department of Commerce, Economics and Statistics Administration (2011) reported womenholding 24% of STEM jobs, compared to 48% of all jobs being held by women. While thereA WiSE approach: Examining how service-learning impacts first-year women in STEM 4continues to be a large focus on diversifying STEM fields, much work remains to increase thepersistence and retention of diverse groups of people, including women. This is why it isimperative to examine the leadership and
pedagogical practices that garner interest and retain women and minorities in computer-related engineer- ing fields.Prof. Zahra Hazari, Florida International University Zahra Hazari is an Associate Professor in the Department of Teaching and Learning and the STEM Trans- formation Institute as well as an affiliate faculty member in the physics department. Dr. Hazari’s research focuses on reforming physics learning environments in an effort to improve critical educational outcomes for underrepresented groups in physics, especially women.Prof. Mark Allen Weiss, Florida International University Mark Allen Weiss is an Eminent Scholar Chaired Professor, Associate Dean for Undergraduate Education in the College of Engineering and
toUndergraduate Computing and Engineering. The workbook, along with Tips for CreatingInclusive Academic Website, and many additional Promising Practices, Programs-In-A-Box, andother resources, can be found at NCWIT.org/resources.Systemic Change Model Components 2, 3, and 4: Retaining with Pedagogy, Curriculum, andStudent SupportPedagogy, Curriculum, and Student Supportcomprise the three components of ES-UP’s Case Study: Retaining with Pedagogy (P)rimary changes were to introduce pairSystemic Change Model that address the programming to enable collaborative learning,challenges of retaining students. Women not
AC 2012-5435: WORK-IN-PROGRESS: CHALLENGES TO DEVELOP-ING ONLINE HOMEWORK FOR UPPER-LEVEL ENGINEERING COURSESCindy Stowell Ph.D., Sapling Learning Cindy Stowell is the Director of Content at Sapling Learning. She obtained her B.S. in chemical engi- neering at Virginia Tech and her Ph.D. in chemical engineering at University of Texas, Austin. She began working for the online learning company Sapling Learning in 2006. Page 25.1488.1 c American Society for Engineering Education, 2012 Work in Progress: Challenges to Developing Online Homework for Upper-Level
Paper ID #35166Work-In-Progress: TriQL: A tool for learning relational, graph anddocument-oriented database programming.Dr. Abdussalam Alawini, University of Illinois at Urbana-Champaign I am a teaching assistant professor in the Department of Computer Science at The University of Illinois at Urbana-Champaign. My research interests are broadly in the field of databases, with a focus on data management. I am particularly interested in applying machine learning methods to various problems of modern data management systems. I am also interested in CS education research.Mr. Peilin Rao, UIUC I am a student in ECE department of
collect, sort, and deliver objects on a playfield. Thiscourse is an upper-level elective for ME, EE, CpE, and Computer Science students and currentlymeets for three contact hours a week. Many of the lessons learned by Stein were used in designingthe project, milestones, and pedagogical techniques in this work. Stein’s own course design workwas built on the foundation of many other studies [3]-[7].Cherng, et al. [3] provide a detailed discussion of their mechanical engineering senior electivecourse entitled Principles and Applications of Mechatronics System Design. Particular courseobjectives were to prepare ME undergraduate students in the area of integrating microcontrollers,provide the student with hands-on experiences, and to challenge
Paper ID #35060Professional Certification Exam: An Alternative Method for a RemoteAdditive Manufacturing LabDr. Rustin Webster, Purdue University, New Albany Dr. Rustin Webster is an assistant professor in the Purdue Polytechnic Institute at Purdue University and specializes in mechanical engineering and computer graphics technology. Dr. Webster’s industry expe- rience includes time as a contractor for the Department of Defense as an engineer, project manager, and researcher. He holds a B.S. in Engineering Graphics and Design and a M.S. in Management of Technol- ogy from Murray State University, and a Ph.D. in
, outcomes ofproblem-based learning are often shared, and the goals jointly set by the students and the teachers.• Project-based learning involves real-life problems while problem-based learning uses scenarios or casessuch as mathematical problems generated by the teacher.• Project-based learning follows a more general procedure while problem-based learning uses a specificor laid down procedure.• Project based learning is often multidisciplinary and takes a longer time. On the other hand, problem-based learning is more related to one subject and takes a shorter period.Online PBLOnline learning, a subset of distance learning, is the acquisition of knowledge via the internet with the useof computers and appropriate mobile devices [7]. A number of
five-yearproject provided professional development (PD) for CTE teachers across the state of NewHampshire, many of whom were not computer science or engineering teachers, and in fact, werein fields such as hospitality and photography. The PD introduced both computational thinkingand programming basics through project-based learning and the use of App Inventor visualprogramming platform. PD activities stressed teaching practices that engage and challengestudents, in particular girls, underrepresented minorities in urban areas, and students inunderserved rural regions in the State. The PD also focused on pedagogies that value theimportance of broadening participation in computing. Data collection of the PD evaluation studyincluded student pre
motivated real-world novel multi-faceted approach which borrows from the princi-and everyday examples, 2) elementary graphical program- ples of multiple representations. The curriculum also aims toming, and 3) a custom video game designed to test and highlight the benefits of learning CS concepts to the studentsexercise concepts in a fun environment. Pretest/posttest so that they can see how computing can impact their lives.analysis show promising trends, including positive changes So in part to achieve this goal, the curriculum proposed alsoin attitudes and learning of computational thinking and incorporates a “STEM talk” element, which exposes studentscoding concepts
committed to increasing the number ofHispanics in all computing areas [4, 5, 6, 7].CAHSI focused much of its energy on retention and graduation efforts, and over the years itbecame known for certain proven practices, called signature practices, which consistentlydemonstrated to be beneficial for Hispanic students. Three of these signature practices are theAffinity Research Group (ARG) model, Peer-Led Team Learning (PLTL), and Fellow-Net.The ARG model [8, 9, 10] is a set of practices built on a cooperative team framework imbuedwith cooperative-learning principles, which have been shown to increase student achievementand self-esteem [11, 12, 13]. ARG supports the creation and maintenance of dynamic andinclusive groups in which students learn and
-378[9] Gutsell, J. and Inzlicht, M. (2010). Empathy constrained: Prejudice predicts reduced mental simulation of actions during observation of outgroups. Journal of Experimental Social Psychology, 46(5), pp.841-845.[10] Johns, M., Inzlicht, M. and Schmader, T. (2008). Stereotype threat and executive resource depletion: Examining the influence of emotion regulation. Journal of Experimental Psychology: General, 137(4), pp.691-705.[11] Roussou, M. and Slater, M. (2017). Comparison of the Effect of Interactive versus Passive Virtual Reality Learning Activities in Evoking and Sustaining Conceptual Change. IEEE Transactions on Emerging Topics in Computing, pp.1-1.[12] Riva, G., Baños, R., Botella, C
disabilities and people from lowsocioeconomic backgrounds among others have navigated as members of underrepresentedgroups. Although the number of women and minorities in the engineering and computer scienceprofessions has increased over the last 40 years [1], parity issues with regard to race, gender andability status still exist. Millions of dollars have been invested to make engineering more diverseand inclusive as the problem is complex. However, one aspect stems from a lack ofunderstanding of the experiences of people from underrepresented groups in engineering [2].Despite all of the investments, a significant amount of work remains to actualizing true culturesof inclusion in engineering.Acknowledgement that people from underrepresented groups
2017 ASEE Mid Atlantic SectionSpring Conference: Morgan State University, Baltimore, Maryland Apr 7 Paper ID #20814Individualized Learning through Computer Based TutorsDr. Vasudeva Rao Aravind, Clarion University Dr. Vasudeva Rao Aravind is an associate professor of physics at Clarion University. Dr. Aravind has a Ph.D from The Pennsylvania State University in Materials Science and Engineering and Master’s and Bachelor’s degrees in Physics from Sri Sathya Sai Institute of Higher Learning, India. Dr. Aravind is a highly accomplished scholar and researcher in the fields of materials science, condensed matter physics
Session 1626 Learning Computer Science Through Robotics Maria Gini University of M i n n e s o t a The main purpose of this paper is to describe how we are integrating in our undergraduate curriculuma variety of projects in robotics and describe, in particular, an undergraduate project that culminatedat the robot competition at the International Joint Conference on Artificial Intelligence in August 1995.This is part of a large effort aimed at exposing undergraduate students to a variety of projects in robotics,computer vision, and 3D modeling. We have
. Page 22.901.1 c American Society for Engineering Education, 2011 Integrating Computing into Thermodynamics: Lessons Learned Even though computing has become pervasive in today’s workplace, many engineering curricula have lagged in creating engineers with computational aptitude. Computational-capable engineers are ones who can utilize computing effectively to solve engineering problems. Developing these computationally capable engineers means understanding that changes in the undergraduate engineering curriculum must recognize it’s context in an educational continuum. Starting from the first computing course, the computing skills need
Paper ID #16491Collaborative Learning Eliminates the Negative Impact of Gender Stereo-types on Women’s Self-ConceptDr. Jane Gage Stout, Computing Research Association Dr. Jane Stout is a social psychologist with expertise in quantitative methods, and social science and education theory. She directs the Center for Evaluating the Research Pipeline (CERP), which is the Computing Research Association’s research and evaluation center. Her research currently focuses on understanding the perspectives of underrepresented individuals in computing career tracks.Dr. Neslihan Burcin Tamer, Computing Research Association Dr. Burc¸in Tamer
Session 2260 Computer Engineering Area of Specialization in Computer Science Department Afsaneh Minaie Reza Sanati-Mehrizy Assistant Professor Associate Professor minaieaf@uvsc.edu sanatire@uvsc.edu Computing and Networking Sciences Department Utah Valley State CollegeAbstractIn our computer science department at Utah Valley State College, there are four areas ofspecialization. These four areas of specialization
proposal in the academic year 2010 – 2011. He has been a Co-Organizer of American c Society for Engineering Education, 2021 Paper ID #35162the REU+ program at North Carolina State University. From 2005 to 2008, he served in the external ad-visory committee for the Statistical and Applied Mathematical Sciences Institute (SAMSI). He publishedarticles in mathematics and presented papers at conferences. His research interests include mathematicalfoundations, modeling, algorithms, and applications in Machine Learning and Data Science and mod-eling, design, analysis, and computational study of
Paper ID #28137FACT: Femineer R Active Learning with Computational ThinkingDr. Kristina Rigden, California State Polytechnic University, Pomona Dr. Rigden is the Director of Outreach Programs and the Women in Engineering Program for the College of Engineering at Cal Poly Pomona. In her position, she secures funding and provides several different outreach programming events to engage K-12 female students to pursue STEM majors and/or careers. Dr. Rigden’s research focus is the STEM pipeline from K-12 to college and career for underrepresented mi- norities. Her teaching and scholarship are grounded in the
AC 2007-2328: ACTIVE AND COLLABORATIVE LEARNING STRATEGIES FORTEACHING COMPUTINGEdward Gehringer, North Carolina State University Edward F. Gehringer is an associate professor in the Department of Computer Science, North Carolina State University. His research interests include hardware and software support for memory management, architectures for security, object technology, and educational software for collaborative learning. Page 12.167.1© American Society for Engineering Education, 2007 Active and Collaborative Learning Strategies for Teaching Computing Edward F
AC 2008-1611: ACTIVE LEARNING ACROSS THE COMPUTER SCIENCECURRICULUMWilliam Birmingham, Grove City CollegeVincent DiStasi, Grove City College Page 13.144.1© American Society for Engineering Education, 2008 Active Learning Across the CS Curriculum1. IntroductionThe general idea of active learning is to engage students during lecture with a variety of thingsthat actively involve them in the material being presented. Through active engagement, studentsare highly encouraged to focus attention on the lecture. While active learning holds greatpromise, it also raises several important issues: designing materials for lecture that incorporateactive learning while keeping
. Page 14.284.2© American Society for Engineering Education, 2009 Blended Learning to Enhance Computer Application InstructionAbstractThe University of Delaware’s Department of Civil and Environmental Engineering (UD-CEE)curriculum has a required Freshman Design Class that includes a Computer-Aided Drafting(CAD) lab. Due to growth in enrollment, the class has to accommodate approximately 100students. To effectively teach CAD in computer classrooms, class sizes need to be limited. Inorder to provide adequate and efficient instruction to this large number of students, the spring of2008 course instructor utilized blended learning, an approach that uses a mix of traditionalclassroom teaching and online training. In this case, the blended
. Page 26.1272.1 c American Society for Engineering Education, 2015 Project-Based Learning with Single-Board ComputersIntroductionProject-based learning (PBL) has been shown to be effective in the STEM fields1,2. Inimplementing PBL of Electrical Engineering and Computer Science (EECS) topics formiddle and high school-level enrichment programs, significant thought needs to go intodetermining which sub-topics in the EECS field should be covered in a curriculum inorder to enable students to undertake projects of sufficient and satisfying complexity.One solution is to focus exclusively on either the software (programming) or hardware(sensors, circuits, etc.) side of EECS, having what amounts to either a
Paper ID #25925An Integrated Learning Approach Used in Computer ArchitectureProf. Chaomin Luo, Mississippi State University Dr. Chaomin Luo received his Ph.D. in Department of Electrical and Computer Engineering at University of Waterloo, in 2008, his M.Sc. in Engineering Systems and Computing at University of Guelph, Canada, and his B.Eng. in Electrical Engineering from Southeast University, Nanjing, China. He is currently Associate Professor in the Department of Electrical and Computer Engineering, at the Mississippi State University. He was panelist in the Department of Defense, USA, 2015-2016, 2016-2017 NDSEG Fellow
0.02 0.01 0 0 0.5 1 1.5 2 2.5 3 3.5 V^(-0.8)Figure 2. Wilson plot for heat exchanger using data from reference 4. Page 12.393.5Simulation to the Rescue?One route to improved learning could be to provide an additional connection betweenexperiment and theory through computer simulation of the processes. Recent advances incomputer technology and the development of robust finite element equation solvers coupled withuser friendly graphical user interfaces has eliminated the need for specialized expertise to solvemany problems involving differential
Paper ID #6696Computer Aided Design: Learning Style Preference Effect onDr. Grant Crawford, U.S. Military Academy Colonel Dr. Grant Crawford is currently the director of the Mechanical Engineering Program at the United States Military Academy, West Point, New York. He graduated from West Point in 1985 with a bachelor of science in Mechanical Engineering. He earned a master of science in Aerospace Engineering from the Georgia Institute of Technology in 1994 and a Ph.D. in Aerospace Engineering from the University of Kansas in 2004. He has taught courses in aeronautics, thermal-fluid systems, heat transfer, computer
Session 2270 COOL (Computer Outreach Opportunities for Learning) Project James S. Collofello, Joseph E. Urban, Mary R. Anderson-Rowland, Faye Navabi, Doris Roman Arizona State UniversityAbstract Although most secondary schools provide some education in computer programming andapplications such as spreadsheets and word processors, they are usually deficient in preparingstudents for careers in software development. The lack of focus on software development topicsand project level experiences fails to dispel the "hacker" mentality and "geek-image" myths mostsecondary school
Session 1368 Computer-Based Learning Modules For Rigid Body Mechanics Musharraf Zaman, Anant R. Kukreti University of OklahomaAbstractThe use of computer-based modules in teaching and learning some of the difficult to comprehendconcepts in mechanics can be very beneficial for both students and instructors. The Vectormodule discussed in this paper was developed and used by the authors to introduce the conceptsassociated with the mathematical operations and use of vectors to solve engineering problemsincluding evaluation of vector components, addition, dot and cross products, projection, and
AC 2011-2126: THE PROGRESSIVE LEARNING PLATFORM FOR COM-PUTER ENGINEERINGDavid Jakob Fritz, Oklahoma State University David Fritz is a Doctoral Candidate in Electrical and Computer Engineering at Oklahoma State University. He also received his M.S. in Electrical and Computer Engineering from Oklahoma State University in 2008. His research interests are in Computer Engineering Education and Computer Architecture. David is the lead developer for the Progressive Learning Platform.Wira Mulia, Oklahoma State University Wira is a PhD candidate in Electrical Engineering in Oklahoma State University. He received his Bache- lors in Electrical Engineering in OSU in 2007 and his Masters in Electrical Engineering in OSU in 2009