classes, 25% ofstudents attend a week long residential summer institute aimed at introducing the GCSP at theuniversity. Students enroll in a semester long multidisciplinary course in their first semester toexplore the grand challenges and to develop a plan to meet program requirements. The summerinstitute and introductory course provide students an opportunity to connect with their peers andnear peers who have made progress in the GCSP and begin building a community of scholars.Subsequently, students choose their own path through the program completing courses andexperiences relevant to their Grand Challenge theme. Requirements include at least twosemesters of research, 80 hours of service learning, and coursework combined with experience(s)in
entitled ”Rigorous Research in Engineering Education: Cre- ating a Community of Practice” and is currently Co-PI on an NSF CCLI Phase III project, ”Expanding and sustaining research capacity in engineering and technology education: Building on successful programs for faculty and graduate students.” He has authored or co-authored eight books including How to Model It: Problem Solving for the Computer Age, Active Learning: Cooperation in the College Classroom, 3rd Ed., Cooperative learning: Increasing college faculty instructional productivity; Strategies for energizing large classes: From small groups to learning communities; and Teamwork and project management, 3rd Ed. His Bachelor’s and Master’s degrees are in
engaging and interactive ways of learning core concepts and typical common practices needed and expected by employers in the industry, such as using and developing test code, troubleshooting, and design documentation2) Using projects to create a meaningful product that used core concepts and developed transferable skills, such as team work, project management, and communication skills3) Building a social community within the learning environment that supported and motivated students throughout their computer science education. This was Page 13.245.2 essential in a program that had few to no majors at any given time to tutor students
AC 2011-1963: EDUCATING BROAD THINKERS: A QUANTITATIVE ANAL-YSIS OF CURRICULAR AND PEDAGOGICAL TECHNIQUES USED TOPROMOTE INTERDISCIPLINARY SKILLSDavid B. Knight, Pennsylvania State University, University Park David Knight is a PhD candidate in the Higher Education Program at Pennsylvania State University and is a graduate research assistant on two NSF-funded engineering education projects. His research interests include STEM education, interdisciplinary teaching and research, organizational issues in higher education, and leadership and administration in higher education. Email: dbk144@psu.edu Page 22.519.1
AC 2007-1234: SHOULD I STAY OR SHOULD I GO? ENGINEERING STUDENTS'PERSISTENCE IS BASED ON LITTLE EXPERIENCE OR DATAGary Lichtenstein, Stanford University Gary Lichtenstein, Ed.D., is a Consulting Associate Professor of Engineering at Stanford University, specializing in quantitative and qualitative research methods. His areas of intellectual interest include engineering education, community-based research, and education evaluation and policy. His extensive teaching experience includes courses on qualitative research methods (for graduate students), and on writing and critical thinking (for students ranging from high school to professionals). He lives in southeast Utah. He can be contacted at
(STEM) students with the skillsand knowledge needed to tackle the technological challenges of the 21st century, the NationalScience Foundation granted funding in 2003 to the Center for the Advancement of EngineeringEducation (CAEE), dedicated to advancing the scholarship of engineering learning and teaching.The largest element of the CAEE is the Academic Pathways Study (APS), an in-depth, mixedmethods exploration of the undergraduate student experience and the graduate’s transition intoprofessional practice. The APS addresses the following research questions: 1. How do students' engineering skills and knowledge develop and/or change over time? 2. How does one's identity as an engineer evolve? 3. What elements of engineering education
were representedamong the students enrolled in the course, and approximately 70% of these were engineeringmajors. The program began in 1995 through university’s electrical and computer engineeringdepartment, and more than 3,000 alumni have graduated from EPICS in its 17 years of existence.This service-learning program has been nationally recognized8 and cited by others as anexemplar for providing a platform of real-world, engineering experience for students5, 8, 22, 23.While several in engineering education have championed EPICS and similar programs forproviding such an authentic design experience, no prior studies have investigated how suchexperiences shape the design knowledge, ability, and identity of alumni of such programs. Weconducted
attributes are meant to make students aspire to becomeWorld Class Engineers (experts). Most likely, students will graduate at the proficiency level atmost, not the expert level. In other words, students should all realize that their undergraduateeducation lays a foundation for becoming a World Class Engineer. What we need to capture istheir growth toward this proficiency. An e-portfolio is a great tool to communicate highexpectations, but those should be different for students at different levels of their education. Forexample, we should communicate to first year students what we expect them to be able to doafter the first year. The idea is to set realistic goals for each year for each of the WCE attributesto keep students motivated and engaged.We
mandatory in-class activity sheets were developed and used for teaching each of the 55 concepts. This paperpresents the details of the KACIE model and its impact on fluid mechanics instruction bycomparing relevant data from the Fall 2015 control semester when the same course was offeredin a traditional teaching environment. The results show that the media-rich KACIE interventionin an HBCU has significantly improved students’ academic engagement and success,substantially reduced failure rate, and enhanced their critical thinking ability. I. INTRODUCTION AND BACKGROUND Twenty-first century engineering education in the US has benefited greatly from the attentionand fresh thinking in recent years, yet it continues to
model- ing of educational systems, and advancing quantitative and fully integrated mixed methods.Dustin Grote, Weber State University Dustin currently serves as an Assistant Professor in Teacher Education at Weber State University and leads the higher education leadership program. He holds a PhD from Virginia Tech in Higher Education. His interdisciplinary research agenda includes graduate funding in STEM, transdisciplinary, experiential and adaptive lifelong learning, undergraduate education policies, systems thinking, organizational change, broadening participation in engineering, improving community college transfer pathways in engineering, curricular complexity in engineering, and assessment and evaluation in
professional activities in the ACM, and IEEE. His recent articles include discussions of quality in computer science education, ”Does Qual- ity Assurance Enhance the Quality of Computing Education?” in Proceedings of the 12th Australasian Computer Science Education Conference, 2010, and models for research driven education in comput- ing, ”Conveying Conceptions of Quality through Instruction,” in the Seventh International Conference on the Quality of Information and Communications Technology, 2010. He is a Director of CeTUSS (The Swedish National Center for Pedagogical Development of Technology Education in a Societal and Stu- dent Oriented Context, http://www.cetuss.se/) and a Reviewer for Computer Science Education
for the development of language and computing environmentindependent assessment instruments. These instruments are needed for valid assessment andcomparison of the pedagogical variations inherent in using the variety of programminglanguages, environments, and paradigms available today.IntroductionComputers are an integral part of the engineering landscape. They are used to model potentialsolutions, collect and analyze data, and create new parts through computer aided design packagesand computer controlled machinery. They are increasingly becoming integral parts of theproducts of design, from sneakers that track the distance traveled to smart building materials thatcan report on the stresses and strains they are experiencing. Because of this