afundamentals-focused math and science freshman curriculum. A second goal was todevelop students’ self-efficacy in a range of abilities associated with engineeringincluding design, problem solving, innovation, communication, teamwork, application offundamental engineering and math concepts, teamwork, and being able to consider socialimpacts in technology in design. A third goal was to examine impact of different types ofsubjects by gender. The final goal was to discern if any gains in self-efficacy weresustained over time.An engineering self efficacy survey tool was developed for this study, with an expandedset of engineering self efficacy measures, that permit a more nuanced portrait of theimpact of different types of engineering curricular
his Ph.D. from UC Berkeley, all in Chemical Engineering. He currently has research activity in areas related engineering education and is interested in integrating technology into effective educational practices and in promoting the use of higher-level cognitive skills in engineering problem solving. His research interests particularly focus on what prevents students from being able to integrate and extend the knowledge developed in specific courses in the core curriculum to the more complex, authentic problems and projects they face as professionals. Dr. Koretsky is one of the founding members of the Center for Lifelong STEM Education Research at OSU
therefore extend the meta-theory.I. IntroductionFor years, reports have validated the importance of problem solving in the workplace. Forinstance the SCANS Report “What Work Requires of Schools” [1], states that problem solving isan essential thinking skill for workers. Engineers, physicians, managers, etc. are hired, retained,and rewarded for their abilities to solve workplace problems. For engineering education, thismeans a challenge to integrate workplace real-world problems into the curriculum and stayingabreast with new challenges and changing roles of engineers in the workplace.If education programs are to fulfill these challenges, a better understanding of the nature ofworkplace problem solving is necessary. This holds especially true for
to enact inclusive behaviors. Thus, this research studydetails the development of two new scales to measure how students develop an inclusiveengineering identity. BackgroundThe current study. In fall 2015, we developed new curriculum to promote inclusive engineeringidentities within first year engineering courses at a large public university. To assess the impactof the new curriculum, we used two previously developed scales: Appreciation of Cultural andEthnic Diversity scale (Price et al., 2011) and Science Identity survey (Chemers et al. 2010;Estrada et al., 2011) adapted for engineering. While these two scales addressed diversity broadlyand a more general engineering identity, the two scales did not
teaching”,which can be defined as the personal belief of teachers in their abilities to positively affectstudents’ educational attainments4. For example, teachers’ self-efficacy in teaching mathematics,or the lack thereof, significantly impacts students’ attainment in mathematics5. Thus, aninstrument to measure teacher self-efficacy towards teaching is context and domain-specific4. Inorder to adequately address needs of teachers and to evaluate the success of teacher professionaldevelopment programs for K-12 Engineering, an instrument for teaching engineering self-efficacy needs to be developed and rigorously tested.Theoretical FrameworkSelf-efficacy is one’s personal belief about his or her capability to take an action toward anattainment6. Since
testing educational materials and learning spaces that stimulate serious play. Page 13.280.1© American Society for Engineering Education, 2008 Case Study: A Space Designed for Cooperative Learning with Multiple ProcessesAbstractThe importance of cooperative and active approaches to classroom learning has long beenrecognized. However most of our resources, textbooks, curriculum structures and learningspaces are not designed with these pedagogies in mind. Many instructors have developed theirown materials and figured out how to conduct an engaged, active and cooperative class in
Paper ID #14519Engineering Competitions as Pathways to Development of Professional Engi-neering SkillsDr. Lori C. Bland, George Mason University Lori C. Bland, Ph.D., is an associate professor at George Mason University. She teaches courses in edu- cational assessment, program evaluation, and data-driven decision-making. Bland received her Ph.D. in Educational Psychology from the University of Virginia. Her current research focuses on identifying, ex- amining, and assessing learning and professional outcomes in formal and informal learning environments in K-12, higher education, and the workforce; how data is used from
students integrate into the university and receive appropriateacademic advising.Because students do not declare majors when they apply for admission, every entering studentcompletes an advising questionnaire. This questionnaire asks students to identify three majorsthey are interested in pursuing. It also asks for preference for preceptorial classes and rankingsof other core classes. The questionnaires are used by faculty to create student schedules. Allstudents expressing any interest in engineering are scheduled by an engineering faculty memberto take an engineering preceptorial class. This is done even if engineering is listed as a student’sthird preference because demands of the engineering major necessitate having an engineeringadvisor. Most
arid soils, piled foundations, pavement design & materials, and concrete durability. His interests also include: contemporary issues of engineering education in general, and those of the Middle East and the Arab Gulf States in particular. c American Society for Engineering Education, 2019 On the Contribution of Adjunct Engineering Faculty to Learning Programs: Enhancing the Practice and Providing Guidance to Solving Real ProblemsAbstract: The paper (an Evidence-based Practice paper) examines the status quo of adjunctfaculty in engineering institutions and argues for the positive contributions adjuncts, withpractical experience, could make by bringing their experience into the classroom. Also, in
application of psycho-social models of moral expertise. He also conducts research in student motivation, service learning, and project-based learning. His technical re- search is focused on degradation of biomedical materials in vitro. He currently serves as Associate Editor of the online journal Advances in Engineering Education, is Chair of the ASEE Materials Division, and was ERM Vice-Chair for the 2010 ASEE Annual Conference. He recently received the 2008 President’s Service Learning Award for innovations in the use of service learning at Cal Poly. In 2004 he was named a Templeton Research Fellow by the Center for Academic Integrity, Duke University. Dr. Harding received both the 1999 Apprentice Faculty Grant and 2000
participate in the NSF Project Based Service Learning Summit. He received the 2008 President’s Service Learning Award for innovations in the use of service learning at Cal Poly. In 2004 he was named a Templeton Research Fellow by the Center for Academic Integrity. Dr. Harding received both the 1999 Apprentice Faculty Grant and 2000 New Faculty Fellow Award for his contributions to engineering education.Dr. Patrick J. Cunningham, Rose-Hulman Institute of Technology Patrick Cunningham is an Associate Professor of Mechanical Engineering at Rose-Hulman Institute of Technology. During the 2013-14 academic year he spent a sabbatical in the Department of Engineering Education at Virginia Tech. Dr. Cunningham’s educational
Department Head for Curriculum and Faculty Development, Environmental Engineering division Chief, and an Associate Professor in the Department of Civil and Environmental Engineering at the US Air Force Academy. He received his PhD from the University of Michigan – Ann Arbor in 2005 and has research interests in mathematical modeling of multiphase flow and transport in heterogeneous porous media, the influence of bioactivity on NAPL dissolution, upscaled modeling of DNAPL source zones, vapor intrusion, engineering education and socially responsible engineering.Eric Hamilton, Pepperdine University Eric Hamilton, Ph.D., is Professor and Associate Dean for Education in Pepperdine University’s
) to explore the best pedagogical practices to improve the efficiency integrating classroom project-based learning and students’ real-world problem-solving practice. I have MS degree from Florida State University in Curriculum and Instruction and BA degree from China Nanchang University in English. I speak English, Chinese, and some Japanese. I am a proactive person. If you are interested in my research topic, please feel free to contact me via email: mt14n@my.fsu.eduMr. Shayne Kelly McConomy, Florida A&M University/Florida State University Shayne K. McConomy is the Capstone Design Coordinator in the Department of Mechanical Engineer- ing at FAMU-FSU College of Engineering; He holds a PhD in Automotive
AC 2010-2153: CENTERING RESONANCE ANALYSIS AS A TOOL FORASSESSMENTCheryl Willis, University of Houston Cheryl Willis is an Associate Professor of Information Systems Technology at the University of Houston. She received her Ph.D. in Curriculum and Instruction from the University of Florida. Her teaching focus is primarily on applications development and database management. Her research interests include curriculum revision processes for career and technology programs; service learning in information technology undergraduate programs and the use of emerging technologies in undergraduate teaching. She has developed curriculum for business education and information technology at the secondary
, results of this directassessment process in semesters following the response will be compared to results prior to theresponse. This follows the baseline-data experimental design discussed by Olds et al.5.Similarly, results from surveys prior to an intervention can be compared to those after theintervention. Since this assessment approach has only been in place for two semesters at thispoint, the program-level assessment data are not yet available.At the course level, in this case, the instructor determined that a detailed example of the solutionof a differential equation by separation of variables and integration should be given in classabout one week prior to the first quiz in future semesters. This action will be taken during theSpring semester
successfulstudent leaving this course will develop a working Android, iOS, or Web-based App.” Studentslearned ten key programming skills including Variables, Data Types, Console I/O, Functions,Debugging, Operators, Conditional Code, Flow Control, Loops, Objects. In addition, studentsemployed integrated development environments for their final projects. Students were given achoice between these three platforms based on interest and resource availability (for example,developing for iOS requires access to an Apple computer).The third learning objective focused on developing the soft skills required to flourish asengineers: “A successful student leaving this course will create a personal learning network.”Students learned to work effectively in teams
written literature on engineering education. Anaccurate account of engineering practice could help educators explain the relevance ofcoursework to students, helping to provide appropriate motivation for learning. Such an accountmay also reveal opportunities to improve curriculum design.This paper builds on results from an ongoing empirical study to establish a systematic frameworkto explain engineering practice in the majority of engineering disciplines based on 70 semi-structured interviews, extensive experience and confirmatory field studies3. Both the frameworkstudy and the longitudinal study are part of a larger Engineering Learning and Practice Researchproject involving 4 academics and 15 research students working on detailed
among staff who have completed our engineering and science education research courses. 1IntroductionThe concept of Scholarship of Teaching and Learning has become a well established part ofeducational development in higher education. The implications of adopting the scholarshipof teaching and learning as an academic norm also increases the importance of understandingthe impacts this has on the daily life and thinking of higher education staff.Evaluations of educational quality, such as those undertaken by the Swedish Higher Educa-tion Authority, raise the importance of systematic quality assurance and quality enhancementfor university management. At Uppsala University this resulted in the introduction
-reported Grade Point Average (GPA).Mathematical Test Items: Constructs M1 and M2 The use of mathematics in solving and communicating engineering analysis can be an obstacle forsome students. In describing the use of mathematics in engineering, we have distinguishedbetween two different constructs, listed above as: M1 compare and contrast mathematical applications relevant to solving varied problems in engineering; M2 understand how the engineering quantities (e.g. force, work, power, and flow rate) are described by the mathematical representations (e.g. integration, differentiation, or interpolation) presented in statics, dynamics, thermodynamics, and fluid mechanics.Although these two constructs are similar, we have listed them
linguistically in engineering colleges, where engineering students are frequentlyreferred to as “engineers” even in the earliest days following matriculation (in contrast, forexample, students of history are never referred to as “historians”). This progression towards aprofessional identity is predicated on an understanding of what engineers do, and acceptingcharacteristics associated with this identification.Acceptance of professional identity has been shown to occur earlier for engineering students thanfor non-engineering students [Ngambeki et al. 2006]. This may occur because the curricularcharacteristics of most engineering programs may foster a sense of isolation from the rest of theacademy. These characteristics include the large number of courses
innovations in instruction work because they allow the presentationof material in new ways that students find more accessible to their native learning styles[9-12].Examples of this include the successful integration of laboratory exercises or simulations incourse like chemistry, physics, and engineering[13] to allow students who are more "hands-on"or are sensing students to practice the concepts in the ways they learn best. One quantitativestudy showed that students raised exam scores by an average of 16 percent on a straight scalewhen they were exposed to a simulator of signal processing equipment in electricalengineering[13]. Other examples include using instructional videos or demonstrations onstreaming media that allow visual learners to benefit
it is common for studentsto work alone on projects at the undergraduate level.For many second-year engineering students, on the other hand, team projects have been anessential part of the curriculum since starting college. By the time of graduation, it is expectedthat these students have developed as specialists who can contribute to a larger project in whichmultiple disciplines are required to achieve a solution. Thus, it is not surprising that theteamwork aspects of an undergraduate engineering curriculum affected students‟ perceptions ofinterdisciplinary engineering work.During the focus groups, students identified critical components of a successful interdisciplinaryengineering team as good communication, trust, and mutual respect
Systems Engineering and a Ph.D. in Engineering Education. Dr. Allam’s interests are in spatial visual- ization, engineering design education, diffusion of evidence-based teaching practices, the use of learning management systems for large-sample educational research studies, curriculum development, and fulfill- ing the needs of an integrated, multi-disciplinary first-year engineering educational environment through the use of active and collaborative learning, real-world application and examples, problem-based and project-based learning, classroom interaction, and multiple representations of concepts. c American Society for Engineering Education, 2017 Faculty Pre and Post Reflections
Paper ID #11535A Series of Singular Testimonies: A New Way to Explore Unearned Advan-tages and Unearned DisadvantagesDr. Julie P Martin, Clemson University Julie P. Martin is an assistant professor of Engineering and Science Education at Clemson University. Her research interests focus on social factors affecting the recruitment, retention, and career development of underrepresented students in engineering. Dr. Martin is a 2009 NSF CAREER awardee for her research entitled, ”Influence of Social Capital on Under-Represented Engineering Students Academic and Career Decisions.” She held an American Association for the
Paper ID #15527Development of PBL Students as Self-Directed LearnersMr. Ronald R. Ulseth, Iron Range Engineering Ron Ulseth directs and instructs in the Iron Range Engineering program in Virginia, Minnesota and he teaches in the Itasca Community College engineering program in Grand Rapids, MN. He was instrumental in growing the Itasca program from 10 students in 1992 to 160 students in 2010. In 2009, he worked with a national development team of engineering educators to develop the 100% PBL curriculum used in the Iron Range model. He has successfully acquired and managed over $10 million in educational grants including
engineers who are environmentallysensitive, the “caring” aspect of environmental learning is increasing in importance [25]. Tochange engineering students’ mindsets from technologically-oriented to contextually approaches,Kastenberg et al. suggest that engineering students need to possess the goals of embodying thevalues of a new integrated culture of engineering, as well as enhancing self-awareness ofcontemporary issues [20]. Manion also suggested that engineering faculty members need notonly to increase students’ contextual awareness but also to complement this awareness byassisting them to transform their attitudes, values, and philosophies to match the engineer of the21st century [26]. Developing the students’ attitude of having an open mind to
, the length of the testscan be reduced and the precision of measurement improved. Computerized adaptive tests (CAT)have gained wide acceptance in high-stakes applications, including major admissions tests suchas the GMAT, the GRE, and the MCAT, and in vertically integrated assessment of studentproficiency in mathematics and reading, as in the MAP assessment widely used in K12 educationsettings. Computer adaptive testing is also a central component of many of the designs for thenew common core assessments.In a typical CAT, an examinee’s estimated ability is updated after each item response by takingeither the mode of the likelihood, or the posterior mean or mode. After ˆ k has been estimated(for the student after answering item k), the next
and Ethics of Technology). c American Society for Engineering Education, 2019The influence of learning context on engineering students’ basic needs, and motivationResearch PaperAbstractIntroduction: Learning context plays an important role in students’ motivation to learn.Intrinsic motivation is important in order to foster students’ deep learning, better performanceand overall well- being. According to Self Determination Theory (SDT) of motivation, threebasic needs should be satisfied for students to achieve intrinsic motivation: the need forautonomy, the need for competence and the need for relatedness. However, less attention hasbeen given to what influences those basic needs
place. Engineering curricula, however, are primarilyfocused on teaching content knowledge, often resulting in a gap between what is taught and whatis learned. We propose that shifting some of the focus onto the process of learning that occurswithin the student and leveraging multiple known connections from educational psychology canresult in more effective engineering education. Here we define “effective” engineering educationas that which leads to greater retention of knowledge, accelerated skills development, andenhanced motivation for life-long learning. We have developed a curriculum design tool tofacilitate this shift. It is a diagram that makes explicit the connections between properties of the"learning environment" or "cognitive activity
University in 2008. While in the School of Engineering Education, he works as a Graduate Research Assistant in the X-Roads Research Group and has an interest in cross-disciplinary practice and engineering identity development.Dr. Robin Adams, Purdue University, West Lafayette Robin S. Adams is an Associate Professor in the School of Engineering Education at Purdue University. Her research is concentrated in three interconnecting areas: cross-disciplinary thinking, acting, and be- ing; design cognition and learning; and theories of change in linking engineering education research and practice. Page 23.89.1