. Additionally, researchpreparation skills, including research methods courses, presentation skills, abstract and researchproposal writing, and grant proposal seminars were incorporated. LSAMP scholars werementored and supported for opportunities to attend and to present their research, via poster ororal presentations, at conferences in local and national arenas.Many SUNY LSAMP Alliance institutions conducted Summer Research Institutes. Theseprograms were carefully planned to include both pre-freshman and undergraduates. Theundergraduate programs had a duration of six to ten weeks. These included research placementsand a variety of professional training, graduate school preparation, training for research,community building and service activities. In
, defined as the knowledge and regulation of one’s own cognitive processes, iscritically important to student learning and particularly instrumental in problem-solving. Despitethe importance of metacognition, much of the research has occurred in controlled researchsettings such that much less is known about how to help students develop metacognitive skills inclassroom settings. Further, there are significant bodies of research on the role of metacognitionin writing and solving math problems, but little work has been done on the role of metacognitionwithin engineering disciplines. As part of a larger project to generate transferable tools that canbe used to teach and evaluate undergraduate engineering students’ metacognitive skills, we aredeveloping
, numerical and experimental methods. He has participated in many research projects and has published several peer-reviewed journal papers since 2004.Ms. Sotonye Ikiriko, Morgan State University c American Society for Engineering Education, 2020 Paper ID #31691 Ms. Sotonye Ikiriko is currently a Doctoral student and Research Associate in the Department of Civil Engineering, Morgan State University (MSU) in Baltimore Maryland. Prior to joining the department in January of 2019, Ms. Sotonye Ikiriko was a Graduate Research Assistant (GRA) at Tennessee State University (TSU) in Tennessee State, where she
140 paired with PHYS 211, andPHYS 212 paired with EE210. This approach is designed to foster a sense of community amongstudents and provide them with a more meaningful education, where abstract mathematicalconcepts gain practical significance in physics, and challenging physics concepts are elucidatedthrough applications in engineering. Moreover, students enrolled in this program receive supportthrough peer tutors, dedicated academic advisers and faculty mentors, and tailored mentorshipfrom alumni engineers possessing industry experience. These additional resources aim to furtherbolster the academic and career success of the students involved.The program aims to offer valuable insights to faculty and institutions currently engaged in
both in and out of the classroom. In 2020, this activitywas conducted as a virtual webinar and student questions were asked in the Q&A feature whichwas monitored by the meeting host.After listening to the dean’s interview, students are asked to write a one-page reflection paper inwhich they are asked to describe what they learned from the interview: (1) what is needed to besuccessful in the engineering profession; (2) the expectations of, or norms for, engineeringstudents; and (3) the lessons learned from the examples provided regarding the differencebetween successful and unsuccessful engineering teams. These reflections play an important rolein helping students understand the importance of valuing diversity in engineering teams
in engineering education for their students. One way to address such challenges isto team up with peer MSIs or larger R1 institutions in mutually beneficial collaborative researchand educational programs.IEC is developing the infrastructure and programs to facilitate collaborations between faculty,students and staff in its member departments, based largely on lessons learned from the successfulECP educational program. It is also addressing how best to build a different type of team with R1schools, industry, and other external constituencies. For each type of partner, a process is beingdefined and tools, such as evaluation rubrics to assess the quality and productivity ofcollaborations, are being addressed. A pilot process and rubric now
Houston, xyuan@uh.eduAbstractIn this paper, the authors detail their journey writing and implementing a successful S-STEMproject proposal, and sharing the lessons they learned in the process. In addition to providingscholarship for twenty promising students, the S-STEM grant allowed a team of faculty frommultiple disciplines to develop and test new student support mechanisms and programs at theengineering technology programs in an urban large public university with a diverse studentpopulation. The goal of the program is to enrich and enhance students experience during theirhigher-education tenure and ensure their success after they graduate and join the professionalworkforce by preparing them to be technically competent and professionally ready
leaders of relevant organizations, providing students withengineering faculty as mentors, and finally, introducing them to the design process, working inteams, technical writing, and oral presentation.More specifically, cognitive stimulation was supplied by introducing the concept of engineeringdesign to the students early in their academic career. In some sections of the experimental US1100classes, a design project was completed after design theory was taught. Introducing students todesign early on in their academic careers has been shown to help students develop crucial skillsthat they would need throughout the remainder of their education and well into their career, suchas critical thinking, working effectively in teams, and technical
grants in both the public and private sectors, and served as an external reviewer for doctoral dissertations outside the U.S. She publishes regularly in peer-reviewed journals and books. Dr. Husman was a founding member and first President of the Southwest Consortium for Innovative Psychology in Education and has held both elected and appointed offices in the American Psychological Association (APA) and the Motivation Special Interest Group of the European Association for Research on Learning and Instruction. Page 26.50.1 c American Society for Engineering Education, 2015 A group
themselves as engineers, including elements related to gender and physicalcharacteristics (e.g., skin color, hair color and style), all of which students can customize using avariety of LEGO and craft material options.In the activity, we prompt students to imagine themselves as an engineer and doing engineering.Student write or sketch or write notes, then use a curated collection of LEGO bricks to build ascene of themselves doing engineering. Initially, student created themselves using LEGO mini-figurines and their scene with LEGO bricks; in future iterations, students will create themselveswith craft materials and their scene with LEGO bricks. At the end of the activity, studentsreflect on what they have created by verbally sharing their creation
-weekresearch project. The scholars and their mentors participated in a weekly WebEx meeting withcoordinators from all CISTAR institutions. The graduate student mentors led these sessions, andsite education coordinators reviewed the assignments. The students created a literature review,followed by a research abstract, and finally a poster to share in a poster session at their institutionand a five-minute WebEx presentation to their peers and graduate mentors. Finally, each scholarwas required to plan and execute one or more outreach activities at a local school, library orscience center and submit a summary of the activity and a reflection on their own experience.The YS program was a successful collaborative effort by Fellows and staff at all
particularly important within increasingly international and multicultural societiesthroughout the world. Therefore, the present study randomly assigned partners to students forparticipation in pair programming, which involves close collaboration to complete a computerscience coding task. Within a sample of 819 responses from 369 undergraduates in the UnitedStates (US), non-US citizens benefitted from having a partner from another country (primarilythe US) in terms of the amount of lab assignment completed, belief that the assignment wasvirtually error-free, and confidence in quality of the submitted assignment; however, thesestudents were also less involved in writing code during pair programming when they had apartner from a different nation than
wrong— that teaching, yes, is a part of it, but it’s doing me a better service to write a paper instead of revamping my class. So there’s a little less motivation, at least at the junior level, to do it. … but as it is, you know, if you’re a big shot researcher, you’re important. And if you’re not a big shot researcher, you’re not.Knowledge and Skills of Effective TeachingAccess to information about effective teaching practices I would appreciate if I could learn more about those tools that are out there, because I don’t think I’m fully informed. So that is, I think, a personal interest. Understanding, you know, lowering the barrier to personal understanding of what’s the right thing to do
homeworkincludes reading assignments, analytical problems and software based questions.Examples are as follows: 1. Write a 700-1000 word synopsis of the article given below demonstrating your understanding of the article. You do not have to get into mathematical details. The synopsis should show your conceptual understanding. Article [15]: Amin Fazel and Shantanu Chakrabartty, An Overview of Statistical Pattern Techniques for Speaker Verification, IEEE Circuits and Systems Magazine, June 2011. 2. Write a MATLAB program that implements the LBG algorithm with the following inputs and outputs: Input: Training data vectors of any finite dimension, desired codebook size equal to a power of 2
accreditation boards, professional societies, and societal views.7-9 2. Rapid changes in technology introduce novel ethical concerns that challenge or transcend existing codes of ethics of engineering professional societies.10,11 3. Engineering students experience a wide range of ethics pedagogy but still have lower levels of ethical reasoning than their peers.12,13 4. A coherent framework and effective pedagogy are critical for teaching ethics in an engineering context.14,15For our research project we proposed that for case-study analysis to be used as an effective toolto develop higher levels of moral reasoning in engineering ethics, it must be taught within acoherent framework for ethical decision-making that involves a
CREATE Renewable Energy Network; • Collaborate and write section of paper for inclusion in a peer-reviewed paper; • Participate in at least two online virtual learning community meetings; and • Provide feedback and formal evaluation information to CREATE on the impact of the Renewable Energy Network on teaching and learning (including student assessment and demographic information). Name: ____________________________________________________________________ Signature: _____________________________________ Date: _______________________Chancellor/President’s Certification: I have reviewed [insert name ________________________'s] application to the CREATE US- Australia Renewable Energy Learning Exchange and Network and fully support
Speech and Hearing Center to observe clinical practice [9]. • Weekly peer-share sessions (1 hour each) summarizing successes and challenges (2021, 2022). • Weekly wearable sensor workshops (1 hour each) to facilitate a shared learning experience for participants to advance familiarity with sensors and MATLAB (2021, 2022). • An end of program poster session to present summer research results to engineering and communicative disorders professionals. • A closing BBQ social with REU students and SLP graduate students.The specific research project of each participant was guided by a pair of faculty mentors, oneeach from engineering and communicative disorders. The dual mentorship arrangement
, participants were given anassignment to identify a lesson taught in their classroom which could use the cloud as aneducational technology tool and then to write a revised lesson plan based on cloud computingintegration and standards-based lesson planning. The assignment also required participants tosubmit the revised and original lesson plans plus samples of student work. The submitted lessonplans reflected the diversity of subjects taught by the participants and shared with their peers.The completed assignments were presented at the second workshop session, which consisted of a1-day meeting in December 2012.Based on the teachers’ applications for the program, we were able to outline what the teachershoped to learn from the workshops. A pre-workshop
provided the big picture status of the project.Over the course of this project, students were successful in characterizing the dynamic forces andvibrations experienced via a design of experiments (Figure 2(a)). These results along with thegraduate mentor’s numerical analysis have been documented as a peer-reviewed conferenceproceeding [1] and eventually as an archival journal publication [2]. Students also finalized thedesign of an actuator and manufactured a functional prototype (Figure 2 (b) and (c)) along withperforming psychophysical tests to understand human perception to the vibration and its changes(Figure 2(d)). The human perception study provided useful information to determine theessential aspects of force and vibration that needed to be
component to data science is extracting the data in various ways. A very common method of collecting this data is through web-scraping various web pages. This workshop introduced students to the concept of web scraping and writing python scripts to automate this collection method. • High Performance Computing Workshop: A mechanical engineering professor at WTAMU hosted a workshop about high performance computing and the utility it has in a variety of disciplines. The students who participated had the opportunity to actually SSH into the WTAMU HPC cluster and run various distributed systems scripts. Tentative 2- Day Hackathon schedule can be found in Figure 1. Day Time
thoroughly enjoyed the mentoring aspect of the program. . . my mentor for the last year . . . helped me in more ways than I could imagine.”In year 3 we continued with virtual professional development sessions, peer and facultymentoring, and one social event each semester. It is challenging to navigate communitybuilding during a pandemic, but we have found ways to get together. In fall 2020 we hadan outside bonfire and served dinner. In spring 2021, we had a star gazing party withbonfire and dinner. Mentoring sessions have continued either virtually or online (at thediscretion of the mentoring pair) and we look forward to reporting from Spring 2021.Finally, we ordered shirts for everyone with a design inspired by a
on measuring student engagement and evaluating teaching methods, such thatclassroom sessions can now be re-engineered to improve engagement. This is illustrated in Fig 1. Figure 1: Closing the engagement measurement loop in the classroom.In the past several years, much work has been accomplished to change the dynamics of theclassroom environment and of the delivery of course material, such as with flipped classrooms,team-based and peer-assisted learning, etc., in an effort to increase academic success,presumably by increasing engagement. In all of these scenarios, evaluation of the success of thenew method largely rests on the evaluation of instructor observation, student surveys, andacademic performance. Instructor observation
), AAAS (Fellow), ASME (Fellow), RAeS (Fellow), and ASEE (member). Dr. Pidaparti will move to University of Georgia in January 2014 as a professor of mechanical engineering.Prof. Christopher Stewart Rose, James Madison University I do research on the development and evolution of amphibian anatomy and I teach courses on comparative anatomy of vertebrate animals, animal development, human development and evolution, scientific writing, and biology in the movies.Ms. Elizabeth Marie Tafoya Elizabeth Tafoya is a fourth year engineering student at James Madison University. In addition to engi- neering, Elizabeth has a minor in geology. She has participated in Bio-inspired Design for Dr. J Nagel since the Spring of 2017 to
intervention theory. Psychological Bulletin, 119(2), 254–284.11. Bangert-Drowns, R.L., C.C. Kulik, J.A. Kulik, & M.T. Morgan. (1991). The instruction effect of feedback in test-like events. Review of Educational Research, 61(2), 218–238.12. Kulhavy, R.W., & W.A. Stock. (1989). Feedback in written instruction: The place of response certitude. Educational Psychology Review, 1(4), 279–308.13. Nelson, M.M. & C.D. Schunn. (2009). The nature of feedback: how different types of peer feedback affect writing performance. Instructional Science, 37(4), 375–401.14. Bjorklund, S.A., J.M. Parente, & D. Sathianathan. (2002). Effects of faculty interaction and feedback on gains in student skills. Journal of Engineering Education, 93(2
instructional methods and classroom conditions. Moreover, writing competitivegrant proposals requires assessment of envisioned project impacts to obtain initial funding and toargue for subsequent funding. A major obstacle to each of these assessment challenges islocating the correct instruments for the situation at hand and the outcomes to be measured. Thispaper describes the development of a web-based aid for locating desired instruments while alsogrowing the assessment capacity of engineering educators using an online search tool: theAppraisal System for Superior Engineering Education Evaluation-Instrument Sharing andScholarship (ASSESS).ASSESSThe ASSESS project is a National Science Foundation (NSF) Transforming UndergraduateEducation in STEM (TUES
serving as the department chair. His current research interests include incremental and online learning, learning in nonstationary and evolving environments, ensemble based systems, and various applications of computational intelligence in bioinformatics and biomedical engineering. He has over 140 peer-reviewed papers in journals and conference proceedings. Dr. Polikar is a senior member of IEEE, and member of ASEE, Tau Beta Pi, and Eta Kappa Nu. His recent and current works are funded primarily through NSF’s CAREER and Energy, Power and Adaptive Systems Programs. He is also an Associate Editor of IEEE Transactions on Neural Networks and Learning Systems.Dr. Ying Tang, Rowan University Ying Tang received the B.S. and
Research, 61(2), 218–238.12. Kulhavy, R.W., & W.A. Stock. (1989). Feedback in written instruction: The place of response certitude. Educational Psychology Review, 1(4), 279–308.13. Nelson, M.M. & C.D. Schunn. (2009). The nature of feedback: how different types of peer feedback affect writing performance. Instructional Science, 37(4), 375–401.14. Bjorklund, S.A., J.M. Parente, & D. Sathianathan. (2002). Effects of faculty interaction and feedback on gains in student skills. Journal of Engineering Education, 93(2), 153-160.15. Kuh, G.D. & S. Hu. (2001). The Effects of Student-Faculty Interaction In the 1990s. The Review of Higher Education, 24(3), 309-332.16. Moreno, R., M. Reisslein, & G. Ozogul. (2009). Optimizing
Paper ID #9116Characterizing and Modeling the experience of Transfer Students in Engi-neeringDr. Matthew W. Ohland, Purdue University and Central Queensland University Matthew W. Ohland is Professor of Engineering Education at Purdue University and a Professorial Re- search Fellow at Central Queensland University. He has degrees from Swarthmore College, Rensselaer Polytechnic Institute, and the University of Florida. His research on the longitudinal study of engineer- ing students, team assignment, peer evaluation, and active and collaborative teaching methods has been supported by over $12.8 million from the National
and how fast they receive information. They can pause, rewind, take notes, and replay a screencast so they manage the pace, as opposed to a classroom where instructors cannot go at a pace that is ideal for everyone. are short and focus on one topic so they hold students’ attention. They do not feature the instructor and they do not contain extraneous material, both of which can hinder learning. allow instructors to use class time for active learning (e.g., ConcepTests, clicker questions, peer instruction, group exercises), since information delivery is outside of the classroom. minimize cognitive overload by presenting diagrams and verbal explanations simultaneously, which enhances learning [11
to those of their peers on campus11.They also address the needs of students with motion disability. Simulated experiments are moreaccessible to learners who often find it difficult or unsafe to use a real laboratory.An issue of major concern is the recruitment of female and minority students12. Being portable,recruiting professors will be able to take the VL with them when going on recruiting trips.Steps in the Development of Virtual LaboratoryThe virtual laboratory development is composed of several phases as described in Figure 1. Theseare: I. Development of lab modules II. Instructor training III. Dissemination IV. AssessmentThese tasks are interrelated and feedback was used regularly to improve the lab