study followed by research. Graduate education duringthe century that followed evolved to become a mentor based learning environment wherestudents worked alongside professors on research projects. The benefit of this mentor-basedprocess was that students would transition from consumers of research to producers of research.This process was accelerated in the post-World War II period where the economic expansion andcold war competition of the time period encouraged significant financial support for research. Bythe 1970s top tier universities had interwoven organized research and graduate education andlower tiered institutions strove to emulate this practice.As US Federal research funds began to diminish in the 1970s and 1980s, reduced
example, the curricula provide some opportunity for reflection and making inference, butoverall, the emphasis of the worksheets was for recording observations and performingcalculations. While these types of formative assessments are useful for projects, they do notadequately measure students’ abilities to make engineering decisions from a depth of contentunderstanding or their ability to scope an engineering design problem. The findings based on the level of cognitive demand also supports the lack of assessmentof students’ abilities to make engineering designs and problem scope. Lower cognitive demandcategories such as Memorized Practices or Memorized Content are the foundations for studentsto develop high-order thinking. However, by
(OLI), started at Carnegie Mellon University in 2002,and Smart Sparrow emerged in 2010 thanks to work started in 2007 in the engineering school atthe University of New South Wales. Furthermore, many of the online learning platformscurrently developing MOOCs and increasingly deploying adaptive learning, such as Coursera,Udacity, and Open EdEx, also emerged from universities, as have usually the algorithms thesecompanies are now using. For example, Montana State University is in the middle of a multi-year project to introduce adaptive learning into its digital logic courses. [28] Universities havealso invested in developing predictive student models for use in early warning systems for at-riskstudents. These models assist in the design and
, 2017 An Assessment Framework for First- Year Introduction to Engineering Courses AbstractIn this evidence-based practice paper, we describe an assessment framework that applies to first-year introductory engineering courses. First-year engineering courses cover a variety of learningobjectives that address both technical and professional outcomes outlined in ABET. Thesecourses also often involve open-ended design and modeling projects. The assessment of multiplecompetencies along with open-ended design can be a challenging task for educators. In thispaper, we describe a framework that guides instructional processes for effective assessment forstudent learning
Research on Education in Science, Mathematics, Engineering and Technology (CRESMET), and an evaluator for several NSF projects. His first research strand concentrates on the relationship between educational policy and STEM education. His second research strand focuses on studying STEM classroom interactions and subsequent effects on student understanding. He is a co- developer of the Reformed Teaching Observation Protocol (RTOP) and his work has been cited more than 1800 times and his publications have been published in multiple peer-reviewed journals such as Science Education and the Journal of Research in Science Teaching.Lydia Ross, Arizona State University Lydia Ross is a doctoral student and graduate research
level are. Around methodologies of teaching ethical codes, there aredifferent teaching approaches discussed in literature. The most relevant is case-based teaching toencourage students to apply ethical codes in courses of their later years9. Other authors suggestthat ethical teaching can be linked with team methodologies around project design12. Thiscollective approach facilitates the assessment of the understanding of important norms anddecision making processes, which could be a difficult aspect to assess individually. In spite of the differences that may exist among disciplines or countries, all engineeringethical codes share certain core values. These values are: contributing to the human well-being,the responsibility of the
curriculaof engineering programs, we developed and delivered a free-standing, semester-length course indesign ethics, in which students worked in groups on a design project for a client, with frequent,structured opportunities to reflect on the ethical values at stake in their design decisions. We alsoconducted a pilot test of a novel assessment method using Latent Semantic Analysis (LSA) (Foltz1998, Landauer 1998) to detect changes in the cognitive schemas students bring to bear on ethicalquestions. BACKGROUNDEthics and Design A course in design ethics is conditioned on the long-recognized parallel between ethicalproblem-solving and the design process (Whitbeck 2011, Bero and Kuhlman 2011, Feister et al
Paper ID #20916Adopting Evidence-based Instruction through Video-Annotated Peer ReviewDr. James J. Pembridge, Embry-Riddle Aeronautical Univ., Daytona Beach James J. Pembridge is an Assistant Professor in the Freshman Engineering Department at Embry-Riddle Aeronautical University. He earned a B.S. in Aerospace Engineering, M.A. Education in Curriculum and Instruction, and Ph.D. in Engineering Education from Virginia Tech. His research has focused on mentoring as pedagogy for project-based courses and understanding the adult learning characteristics of undergraduate students.Ms. Lisa K Davids, Embry-Riddle Aeronautical Univ
] Beichner, R., J. Saul, D. Abbott, J. Morse, D. Deardorff, R. Allain, S.The main fact shown in these figures is that the students Bonham, M. Dancy, and J. Risley, “The Student-Centered Activitiesrespond well to the methodologies used in the class as well for Large Enrollment Undergraduate Programs (SCALE-UP) Project”,as the tools that they learn, such as MatLab programming. in Research-Based Reform in University Physics, eds. E. Redish, and P. Cooney, American Association of Physics Teachers, College Park,From these results, it is clear that students find the methods MD, 2007.and class valuable and interesting to
completed short activities outside of class. In-classat the effect of a flipped classroom intervention on time was used to participate in active learning labsperformance in a first year programming course. Previous with the guidance of graduate teaching assistants.reports on this project have looked at performance o Average Non-Flipped Material Quizzes: Thecomparisons between a flipped and control classroom [4] as average score of all quizzes taken over content coveredwell as correlating student motivation to performance in the in each lab meeting that utilized a traditionalflipped classroom [5]. This work in progress review focuses classroom format
.” Journal of College of Student Development, recognition. The Ambassadors are recognized for 50,6, 683-706, 2009. their communication and leadership skills at the Eminence Awards Banquet, and they are offered [9] American Society of Engineering Educators. Going the Distance. ASEE, 2012. Retrieved from https://www.asee.org/retention-project opportunities such as monthly professional development. [10] Strategic Doing, 2017. http://strategicdoing.net/ Networking and professional development [11] Angelo, T. A., & Cross, K. P
on molecular cooperativity in drug targeting, bio-sensing, and cell sig- naling. Current projects align along three main themes: local drug delivery, endothelial dysfunction in diabetes, and cooperative DNA diagnostics. Recent awards include the Jeanette Wilkins Award for the best basic science paper at the Musculoskeletal Infection Society. Dr. Caplan teaches several classes including Biotransport Phenomena, Biomedical Product Design and Development II (alpha prototyping of a blood glucose meter), and co-teaches Biomedical Capstone De- sign. Dr. Caplan also conducts educational research to assess the effectiveness of interactive learning strategies in large classes (˜150 students). c
prototypes that(Ideating and Testing) application of physics, require persistence through geometry and mathematics failure and experimentationTeam Design Projects Defining design problems, Working in teams, defining(Reports and Presentations) conducting research, testing problems, field research, concepts, communicating presenting and writingLaboratories and Studios Building models, defining Used materials, tools and(Designing and Testing) specifications, testing and technology to create and test measuring outcomes hypotheses and modelsField
their classrooms, comprisingvarious studies in the project, including replication studies that will make our findings morerobust.Study 6: Structured experience working in teams and doing self and peer evaluations makesparticipants better team members.Purpose of study: Explore the effect of structured team experiences and use of a peer evaluationsystem on team skills and team-member effectiveness. Prior research has found that completingpeer evaluations familiarizes students with team skills and improves new teammates’ satisfactionwith those team members on a future team.Study 7: Feedback improves team skills.Purpose of study: We explore the effect of five feedback alternatives on team performance,satisfaction, team cohesion, team efficacy and
research agenda includes epistemological beliefs in science and evolution education. He is recently engaged in professional development activities supported by several grants targeting to increase elementary teachers’ knowledge and skills to integrate science, language arts, and engineering education within the context of Next Generation Science Standards.Miss Ezgi Yesilyurt, University of Nevada, Las Vegas Ezgi Yesilyurt is a PhD student in curriculum and instruction/science education at University of Nevada, Las Vegas. She is working as a graduate assistant and teaching science methods courses. She received her MS degree and BS degree in elementary science education. She participated European Union Projects in which
the QMRA Wiki was within the joint USEPA1 and DHS2 center of excellence –Center for Advancing Microbial Risk Assessment (CAMRA). The CAMRA QMRA Wiki wasdeveloped as a central database for the CAMRA center but then began to develop itself as aneducational tool. This CAMRA QMRA Wiki facilitated two main aims of the center: 1.) tosupport the research mission and collaboration of the core projects that comprises the CAMRAcenter and 2.) support the CAMRA Summer Institutes, a set of short summer courses outlined toallow for the training of future QMRA modelers and experts.The QMRA Wiki was first developed as a standard MySQL database the implementation ofwhich was managed using MediaWiki (http://www.mediawiki.org/). The overall value of theQMRA
Paper ID #19808Expanding Engineering through an S-STEM ProgramDr. Ricky T Castles, East Carolina University Dr. Ricky Castles is an assistant professor in the Department of Engineering at East Carolina University. He is primarily affiliated with the ECU Electrical Engineering concentration. His research work focuses on the use of wireless sensor networks, microcontrollers, and physiological data collection for a variety of applications. His primary interest is in the area of adaptive tutorial systems, but he has ongoing projects in the area of hospital patient health monitoring. He is actively engaged in K-12 outreach
.” Thislines up with today’s workforce trends where many individuals work multiple part-time jobs.Richardson also notes a shift in students needing to master content to being able to masterlearning. This aligns with a base concept Brown³ has put forward describing, “agency” as activeparticipation, creating and building. A 21st century strategy for learning by design encouragesagency with each individual actively experiencing new technologies tools for creating andcommunicating in a combination that supports deeper experiential learning.EquipmentTwo types of experiences and tools emerged from the development of this project, which overlapin concept but actively engage the participants individually and directly. The two types ofexperiences and tools
. Ultimately, the data collected from this study will be used to better understandcurrent knowledge structure and retention in students to guide development of current and newcurricular and co-curricular practices. Quantitative data generated from this project will alsoserve as a seed for developing a long-term collaborative study to identify common barriers inproblem-solving abilities across undergraduates in STEM, improve our understanding of theprocesses students experience in problem solving, and determine, develop, and analyze effectiveapproaches for building problem solving abilities and improving understanding in STEM.Literature Cited1 Saavedra, A. R.; Saavedra, J. E., Do colleges cultivate critical thinking, problem solving,writing and
interactive concept maps; meta-analysis of empirical research, and investigation of instructional princi- ples and assessments in STEM.Mr. Nathaniel Hunsu, Washington State University Nathaniel Hunsu is currently a Ph.D. candidate of Educational Psychology at the Washington State Uni- versity. He received a B.Sc. in Electronics and Computer Engineering from the Lagos State University, Nigeria and a M.Sc. in Project Management from University of Sunderland. He is interested in the con- ceptual change research in science learning. His research emphasis at the time is about how students process textual information for conceptual change in STEM education.Prof. Bernard J. Van Wie, Washington State University Prof. Bernard J
inengineering.In this work-in-progress paper, we describe a design-based research project that explores howstudents adopt positive learning behaviors and dispositions through a course, because positivelearning behaviors and dispositions have been shown to increase persistence through challengesand setbacks4.We have designed a course titled Engineering the Mind as an eight-week, second-half semestercourse that is offered for one semester-hour of credit. We plan to pilot this course in Spring 2017to prepare for the Fall 2017 offering.BackgroundDesign-Based ResearchDesign-based research (DBR) is a research paradigm that attempts to bridge laboratory studieswith complex, instructional intervention studies5. DBR is described as “theoretically-framed,empirical
, and their learning experiences. His projects involve the study of student perceptions, beliefs and attitudes towards becoming engineers, their problem solving processes, and cultural fit. His education includes a B.S. in Biomedical Engineering from Rose-Hulman Institute of Technology, a M.S. in Bioengineering and Ph.D. in Engineer- ing and Science Education from Clemson University.Dr. Cheryl Cass, North Carolina State University Cheryl Cass is a teaching assistant professor in the Department of Materials Science and Engineering at North Carolina State University where she has served as the Director of Undergraduate Programs since 2011. Her research focuses on the intersection of science and engineering identity in
experiences of faculty, post-docs, and PhD students show thateven when efforts are made to hire women or underrepresented minorities to theprofessoriate there are cultural barriers for them to be promoted or even remain withinthe faculty ranks (Callister, 2006; Maranto & Griffin, 2011; McGee, Robinson, Bentley, &Houston II, 2015; McGee et al., 2016; Patitu & Hnton, 2003; Robinson, McGee, Bentley,Houston II, & Botchway, 2016; Settles, Cortina, Malley, & Stewart, 2006).Our project is using a critical narrative perspective to understand the racializedexperiences of Black engineers in technology companies. Narrative analysis takes people’sexperiences and accounts of those experiences as being storied. Meaning is made throughthe
the study of objects, structures, and materials on the nanometer scales. The field of nanoscience is growing exponentially over the past years and nanotechnology is impacting our daily lives in many ways 1. The National Science Foundation (NSF) estimates that the job projection for nanotechnology will cover around several million workers worldwide and about $3 trillion in sales for nanotechnology related products by 20202. With this demand, nanotechnology education is being offered by more and more universities around the world. This implies the importance of the education and training on a new generation of skilled individuals in nanotechnology. In other words, it is necessary to have an effective teaching and
to be oneskill or knowledge that electrical engineering students in general do not possess4 is the magneticcomponent design. Electrical engineering students are so accustomed to using commerciallyavailable inductors or transformers whenever they need to use them in their projects. Often timesthis approach is not practical as commercially available magnetic components are limited in theirstandard values. Furthermore, power semiconductor companies many times require their newelectrical engineers to have the basic magnetic design skill enough to design and build their ownmagnetic components for their prototype products. This in turn will reduce company’s time toproduction as well as minimize prototyping cost. To address this issue, Cal Poly
president of Korea Association of Innovation Center for Engineering Education for 2009-2012 and 2016-2017. His role in ABEEK was to lead the Committee of Criteria of Accrediting Engineering Programs. His role in ICEE is to coordinate 60s ICEE universities for sharing the outcomes of the ICEE project. He graduated from Mechanical Engineering Departments of Seoul National University (BS), KAIST (MS), and University of Illinois at Chicago (Ph.D) and his research area includes interferometric measurements, automatic fringe pattern analysis, and vision inspections. c American Society for Engineering Education, 2017 International Collaborative Dual MS Degree ProgramRose-Hulman Institute of
in equipping our students with the “tools of the trade” thenwe need to alert our graduate students( the future engineering teachers) to the need ofdeveloping proper and enduring connections with industries in their locale, andeventually have a mutually beneficial relations with the industrial sector; not so muchto supplement their income; but, principally, to be able to reach the broader goal, i.e.,to gain valuable experience and be truly involved in real engineering.iii) Third, reaching out to the industrial sector and engineering services in the Region,and striving to form symbiotic partnerships between local industry and academiathrough: capstone projects, theses work with practical overtones, and applied researchprojects in selected
samecitizenship/service expectations as professorial faculty. The teaching loads also varied accordingto these service expectations, with professor educators having the greatest teaching load andprofessional faculty having the smallest teaching load among these professional faculty. Research faculty were not expected to do any teaching, and generally performed limitedservice. Their primary assignment was research and scholarship, so they were expected to workwith a cadre of research assistants, seek funding for research projects, and publish their findings. Adjunct faculty were found in four sub-types, and were also known as contingent faculty.The first type were faculty who worked full-time in nearby industries and who taught no morethan
, while excessive R and Tcomponents strongly and positively correlate with negative emotions. The definition ofthe three components is such that it precludes the possibility of a human being possessingonly the S component, or, for that matter, only the T component and so perfection is notpossible here either. The three components and the two emotions lead to two equivalent Table I. Six Sigma Phases and Steps Phase Steps Description I. Scope 1 Articulate the problem statement. 2 Define the response variable (outcome(s)). 3 State the project goal. II. 4 Draw a process map. Measure 5 Validate the measurement systems. 6 Collect data on the response
Marian Kennedy is an Associate Professor within the Department of Materials Science & Engineering at Clemson University. Her research group focused on the mechanical and tribological characterization of thin films. She also contributes to the engineering education community through research related to undergraduate research programs and navigational capital needed for graduate school.Dr. Lisa Benson, Clemson University Lisa Benson is a Professor of Engineering and Science Education at Clemson University, with a joint appointment in Bioengineering. Her research focuses on the interactions between student motivation and their learning experiences. Her projects involve the study of student perceptions, beliefs and