students engage in science learning, and how students use their knowledge totransform their communities and world at large perception of their ability to change their worldthrough everyday actions as well as his/her broader goals in life [42]. Later, we discuss howstudents are positioned and position themselves influences how students learn, navigateengineering, and develop their identities as engineers. However, in this section, we focus on howagency is useful for assessing how agency enhances engineering learning as an outcome.The studies focusing on student learning were grounded in sociology and varied in methodologicalapproaches [21]–[23]. Drawing on an analytic framework for empowerment, Svihla and colleagues[21] defined agency as the
rankings. The hypothesis was assessed by building a statistical linear model and runningan ANOVA on the proportion of laboratories uncovered by systematic review in each of the fourcategories of programs discussed above.This process is described in the following sections: Section 2 describes the methods used for datacollection and categorization, Section 3 describes the results of the analysis and Section 4 drawsconclusions from the results and suggests avenues for future work.2 MethodsThree steps were required to gather the database used for this study: evaluating programs todetermine if they contained viable classes, systematically selecting programs to review andcategorizing the classes in reviewed programs based on the type of laboratory
in the Department of Technol- ogy Leadership & Innovation at Purdue University, West Lafayette. Mesut Akdere received his Ph.D. from the University of Minnesota in Human Resource Development with a minor in Human Resources and In- dustrial Relations. Currently, he is serving as the Director of Purdue Polytechnic Leadership Academy helping STEM students develop their leadership competencies. He is also the inaugural faculty research fellow at the Center for Intercultural Learning, Mentorship, Assessment, and Research at Purdue Uni- versity. Dr. Akdere’s research focuses on workforce development in STEM fields, developing intercul- tural leadership competencies through immersive learning technologies including
’ academic pursuit, (2) establishing a military-safe environment, (3) authenticmentoring experiences, (4) appreciation and utilization of military assets for academic success,and (5) spearheading research endeavors while being in good hands. The results from this studyprovide important insight into the experiences of graduate engineering student veterans and howvarious units of higher education (e.g., institutions, programs) can develop an effective andculturally-relevant support system for student veterans in graduate programs.IntroductionThis study is part of a larger mixed-methods evaluation research that assessed theimplementation of and outcomes from an externally funded grant project at a large public urbanuniversity in the Southeast. The
as well as accurate and precise. Thisalso allows for small-groups to be formed for maximum effectiveness.Switching focus to the issues faced by academic laboratory instructors today. Laboratoryinstructors today are always looking to upgrade or to replace equipment used to demonstratefundamental principles taught to students throughout their courses. When assessing newequipment, the instructor must be aware of cost, sizing, and performance. Cost is a definiteconsideration as it allows for more money to be allocated elsewhere depending on priorities. Sizingbecomes an issue as a program size program increases. The performance is critical since manystudents expect results to match well. These three areas are the driving force behind the
ofinformation, it can be hard, even to Soltec, to help its students evolve and to improve theeducative process it provides [15].There is another evaluative area in which Soltec and other grassroots engineering centers need todo better: assessing the impact on the supported groups of the sociotechnical assistance provided.It is undeniable that the empowerment of the assisted groups and/or adequate sociotechnicalsolution) can be found in many (most of?) Soltec’s activities. Though, it is not clear what is, infact, achieved compared with what is possible and desired. How can the results be improved?These and other related questions find little data and few systematizations, concepts, and/ormeasuring methods so to be answered more appropriately. Whereas
," Advances in Engineering Education, vol. 1, no. 2, p. n2, 2008.[12] H. A. Diefes-Dux and P. Imbrie, "Chapter 4: Modeling activities in a first-year engineering course," Models and modeling in engineering education: Designing experiences for all students, pp. 37-92, 2008.[13] R. M. Clark, L. J. Shuman, and M. Besterfield-Sacre, "In-Depth Use of Modeling in Engineering Coursework to Enhance Problem Solving," in Modeling Students' Mathematical Modeling Competencies: Springer, 2010, pp. 173-188.[14] T. P. Yildirim, L. Shuman, M. Besterfield-Sacre, and T. Yildirim, "Model eliciting activities: assessing engineering student problem solving and skill integration processes," International Journal of Engineering
defining the steps tomake a peanut butter and jelly sandwich. By letting participants incorporate dance whenteaching algorithmic thinking, participants were able to connect a familiar activity with thealgorithmic process in a hands-on way that was fun. One student commented to the instructorthat she loves to dance and to create and to see how dancing and programming could worktogether was great. This experience supported prior research by the authors that a hands-on,project-based learning approach in a computing camp strengthens teamwork and problemsolving skills [13].Future plans including offering this approach in other computing camps for elementary girls.Having a larger sample size will enable more data collection and assessment of the
presenceand presentation style, it is noteworthy that the overall impression made by the lectures was apositive one. Gone was the sense that the lectures were irrelevant to engineering education orprofessional practice and unrelated to other aspects of the course such as the assignments. In addition to qualitative reflections such as those expressed above, the quantitative datain the Summer Session course evaluations also revealed a much stronger perception of thecourse’s value for engineering education and practice. Although Summer Session does notprovide overall scores for the course and the instructor, two individual questions are especiallyrelevant for assessing how students viewed the course’s contribution and value. One suchquestion asks
transformations – by achieving strategic advantage IoT drives. In addition, the course provides [5]: o “Introduction to the IoT technologies, skill components, enablers and constraints for using IoT in business”. o “Examples where IoT is already transforming customer experience, operations and business models” o “Explains the elements of leadership capability that makes transformation possible.” o “Real-world case studies, senior executive interviews, self-assessments and practical assignments guide the participants as they construct a roadmap to gain strategic advantage from IoT”. Graduate Degrees: University of New
(with their advisor’s permission). In several cases, thiscreated new disquisition-related exploration areas and, in at least one case, the work became acore component of the student’s disquisition.Through the combination of these assignments, students were exposed to numerous examples ofprior research work. They also gained a broad understanding of the cybersecurity discipline andits sub-fields. They learned formal research methods from the textbook readings and discussionand then put those methods into use and received feedback on them via the research assignmentsand course project.7. Qualitative EvaluationThe evaluation of research methods skills is inherently subjective. In prior work [25], a surveyhas been utilized to assess research
exposure especially in design project courses[20]. Others suggest it sometimes takes a little push to evoke interest and ability toconsider such issues that are not central in the disciplinary discourse of one’s field of studies.Watson et al. [21] suggest that increasing the expected level of incorporation of e.g.sustainability factors to the students’ work might promote students to start thinking aboutsocietal issues in more detail. Attempts to measure and assess the students’ abilities toimplement societal considerations, such as sustainability, into their engineering projects havebeen made [21]. However, students seem to tend to focus on technological solution orientedaspects of sustainability at the expense of a wider range of solutions
be demonstrated on videos, or, video imaging can be done usingremote computer access to the samples. One task should be comparing and correlatinginformation by the three methods described here. This work can be applied to other thin-film aswell as nanotechnologies where areal effects and uniformity are important. Students learningwill be assessed in the framework of our course evaluations, including program educationalobjectives and pre- and post-testing, and self evaluations and surveys. Results will be presentedat ASEE Conferences, where we will report in sufficient detail descriptions and operations fordissemination to other schools and institutions.Discussion and Summary This report has described simple techniques for probing
Paper ID #22934Framing Engineering Ethics Education with Pragmatism and Care: A Pro-posalDr. Indira Nair, Carnegie Mellon University Indira Nair retired from Carnegie Mellon University after 32 years. For the last 12 of those years, she was the vice provost for education and a professor in the department of engineering and public policy. She has designed and taught several interdisciplinary courses, including the ethics of science and technology, environmental science, technology and decision-making, and radiation, health, and policy. Her research has ranged over risk assessment and communication, green design
adopted a self-efficacy assessment with questions targeted in teaching engineering. We will also be requestingfeedback from teachers on their EDP use in the classroom and effect on their students.ConclusionThis paper shares the program design of the NEET program which provides a framework forintroducing both PBL and the EDP to K-12 STEM teachers, aimed to contribute to teacherconfidence in implementing these strategies in the classrooms. Institutions that provideprofessional development opportunities to K-12 STEM educators may benefit fromimplementing a program similar to NEET as the course has the ability to both increase thecontent knowledge of educators and to empower them in facilitating rigorous PBLs andengineering design activities in their
girls do not perform well on tests. In 2009, male high schoolgraduates had higher National Assessment of Educational Process (NAEP) mathematics andscience scores than their female counterparts, completing the same curriculum level [1]. Thismight be correlated with the Arizona State University’s finding that “the average male studentthinks he is smarter than 66 percent of the class, while the average female student thinks she issmarter than 54 percent of the class” [2]. Stoeger et al. reported that STEM interest is almostthree times higher for boys than girls. The same study reported that female students think thatSTEM is not appropriate for them due to a perceived disconnect between the “real world” andtheir assignments; therefore, the girls
MotivationPintrich identified two integral factors to motivation: ambition and learning.11 The MSLQ is a self-assessment tool graded on a seven point Likert scale. The students rate the items between “not trueto me” and “very true to me”.11 The five motivational factors examined in this study are cognitivevalue, self-regulation, test/presentation anxiety, intrinsic value, and self-efficacy. Cognitive valuedescribes a student’s ability to recognize the tasks required,11 as well as the necessary sequence oftasks, in order to complete a goal. Self-regulation is the student’s ability to structure oneself tocomplete a goal.11 This differs from cognitive value as self-regulation is the ability to organize allnecessary components to ensure completion of the given
process, apply MATLAB to analyze the data, and explain the observed flow featuresusing information from the textbook and lectures. Each of these learning outcomes can bemapped directly to ABET student outcomes. The PIV data acquisition process applies tooutcome (b) an ability to design and conduct experiments, as well as to analyze and interpretdata. Using MATLAB to analyze the data applies to outcome (k) an ability to use the techniques,skills, and modern engineering tools necessary for engineering practice. Finally, explaining thefeatures in the flow relates to outcome (a) an ability to apply knowledge of mathematics, scienceand engineering.Since this system has yet to be implemented in a course, there is no assessment data available.However
Paper ID #21323Affordances and Barriers to Creating Educational Change: A Case Study ofan Educational Innovation Implemented into a First-year Engineering De-sign CourseDr. Sarah E. Zappe, Pennsylvania State University, University Park Dr. Sarah Zappe is Research Associate and Director of Assessment and Instructional Support in the Leonhard Center for the Enhancement of Engineering Education at Penn State. She holds a doctoral degree in educational psychology emphasizing applied measurement and testing. In her position, Sarah is responsible for developing instructional support programs for faculty, providing evaluation support
. To complete theanalysis of a complex thermodynamics cycles, students must spend several hours of calculationsthat include the evaluation of thermodynamics properties at each state within the cycle.Therefore, the knowledge and the skills of students in analyzing the entire complex cycles cannotbe assessed in a typical 50 minute exam.To address the problem of student access to solution manuals and to be fair to those students whocompleted their homework assignment without using solution manuals, the weight of homeworkscores on the final grade was gradually reduced from 20% to 5%. At the same time, thefrequency of exams and quizzes was increased. Since only a few points for the homeworkassignment contributed towards the final grade, some
several years. Students are typically junior and seniorphysics and engineering majors with the necessary mathematics and physics requisites. Some sophomoresalso take the course. One interesting aspect of the course is the evolution of designs over the years, whenfirst offered, rocket designs typically employed a 3” diameter body tube and have gradually increased to4” and even 5.5” diameters. Also more multi-thruster designs are done as opposed to a single thruster.Generally, two-stage designs are not attempted though are certainly permitted.Generally speaking, the course has been favorably received by students. Their overall assessment is that itprovides a “real world” experience, an actual engineering application of physics and analysis.This
and Technology.[8] P. R. Wilson, A. F. Cinar, M. Mostafavi, & J. Meredith (2018). Temperature driven failure of carbon epoxy composites–A quantitative full-field study. Composites Science and Technology, 155, pp.33-40.[9] Sangermano, M., D'Anna, A., Marro, C., Klikovits, N., & Liska, R. (2018). UV-activated frontal polymerization of glass fibre reinforced epoxy composites. Composites Part B: Engineering, 143, pp.168-171.[10] L. Yue, A. Maiorana, F. Khelifa, A. Patel, J. M. Raquez, L. Bonnaud, & I. Manas-Zloczower (2018). Surface- modified cellulose nanocrystals for biobased epoxy nanocomposites. Polymer, 134, pp.155-162.[11] H. C. Kim (2018). Mechanical Properties Assessment and Reliability Verification for FDM 3D
practices is to help bridge the transition from student to employee; a transition that can be very steep for our students. Anecdotal feedback from recent graduates now employed in industry supports that these practices were indeed helpful in their transition.The five key elements identified above are a starting point. As our program matures we areworking to figure out the next “pieces of the puzzle.” Challenges we are currently workingthrough include: (1) Team roles – what are the right team roles to define? How often (if at all)should students rotate through these roles? (2) Standardization of documentation – for exampletime sheets, meeting minutes, liaison feedback instruments, etc. (3) Assessment, and (4)Standardizing the
Hawaiian or Other Pacific IslanderFigure 5 presents 14 prominent themes that came from student responses assessed both at thebeginning and end of the first semester engineering foundation course, and the contributions ofthe course on their enculturation. While most of the emerged themes were well-aligned with oneof the eleven ABET Student Outcomes, new themes also emerged.At the end of the semester, there was a significant drop in students’ perceptions about the valuesof engineering culture/engineer (from 35.4% to 23.2%). However, more students acknowledgedthe contribution of the course to their algorithmic thinking (through the use of MATLAB andLABVIEW to analyze and interpret data). Overall, similar percentages of responses on themajority of
that students identified as having contributedto their researcher identity and transformed their epistemic beliefs. These factors and experienceswill be translated to educational learning environments to leverage findings such that students inmore traditional learning environments can benefit in the same ways as students who participatein UREs, such as developing identities as builders of new knowledge, as contributing to societyand as effective communicators.AcknowledgementsThis research was funded through a grant from the National Science Foundation (Award #1531607 and 1531641).References[1] Benson, L., Faber, C. J., Kajfez, R., Ehlert, K., Lee, D. & McAlister, M. Assessing Undergraduate Engineering Students’ Researcher Identity and
. ○ ○ ○ ○ ○ ○ ○ Strongly Moderately Slightly Equally Slightly Moderately Strongly more verbal more verbal more verbal verbal and more visual more visual more visual than visual than visual than visual visual than verbal than verbal than verbalCopyright 2002 by Richard E. Mayer. Reprinted by permission.Learning Strategy PreferencePlease read the ATLAS assessment (blue sheet) and then mark the result here (Place ONE check mark next toyour learning strategy preference): ○ Navigator ○ Problem Solver ○ EngagerThe description of your learning strategy group in the ATLAS “Groups of Learners
of the final semester collecting initial validation data with their prototype in a clinicalsetting.Fall SemesterFall classes provide the students with significant context as they develop their design concepts.For example, with respect to intellectual property, students learn how to search and read patentsfor technologies that may address the clinical need for their project and are able to refine theirdesigns accordingly.Spring SemesterAs teams transition to building a functional prototype, Spring coursework allows them to identifyand refine market segments and thereby assess the commercial potential of their technology andbecome versed in the concepts essential to clinical research. Students may replace the electivecourse with an independent
Engineering Education, 2017 Work in Progress: Culturally-Relevant Engineering Design Curriculum for the Navajo NationThe mission of this research is to develop a theory of culturally-contextualized engineeringdesign curricula and assessment tools for Navajo middle school students, grounded in a study ofhow Navajo students and Navajo professionals experience, understand, and apply engineeringdesign in the context of their culture, community, and society. This foundation will supportfuture educational innovations and illuminate pathways for Navajo students to pursue highereducation and careers in STEM. This paper describes the foundation for this research and thecurrent progress in the development of curriculum modules that teach Navajo
. The reflection questions toassess SRL strategy use throughout the semester was altered from a previous study assessing theSRL strategies in an Industrial Engineering course3. The interview protocol to examine students’FTP was modified from a previous protocol used to analyze the connection between FTP andproblem-solving, as well as other task-specific, current actions5. This protocol was first tested forvalidity, including a pilot study with four undergraduate engineering students4. A secondinterview protocol was developed to explore the connection between FTP and SRL, as a follow-up to the first interview. Underlying theory and the advice of experts were used to develop thequestions, and the protocol was piloted with an engineering
a good learning experience. They were, also,more likely to recommend the session to others. Many showed interest in learning more. Binary-To-Decimal Conversion Emulator: In addition to the device being demonstratedat a number of events, in an informal setting, such as the Maker-Faire and Discover EngineeringDay, the emulator was demonstrated at an Electrical Engineering Laboratory event conducted forhigh school students in-order to expose them to the field of Electrical Engineering. Thirty-twostudents participated in the lab event. As part of the exit survey conducted, students were askedtheir views on three statements to assess the impact the B-to-D converter made on theirunderstanding of the underlying concept. Figure 5 depicts the