Research Association Annual Meeting, Chicago, IL.13. Arreola, R. A. (1995). Developing a Comprehensive Faculty Evaluation System, San Fransico, CA: Jossey-Bass.14. Theall, M. and Arreola, R. A. (2006). “The Meta-Profession of Teaching,” Thriving in Academe, Vol. 22, No. 5, pp. 5-8.15. Condon, W., Iverson, E. R., Manduca, C. A., Rutz, C., & Willett, G. (2016). Faculty development and student learning: Assessing the connections. Indiana University Press.16. Whittaker, J. A., & Montgomery, B. L. (2014). Cultivating institutional transformation and sustainable STEM diversity in higher education through integrative faculty development. Innovative Higher Education, 39(4), 263-275.17. Gardner, S. K. (2008
individual accrue a lifetime financial return ontheir investment in engineering education (Carnevale, Smith, & Melton, 2011; Taylor et al., 2011).Beyond economic benefits, as recent events have shown there is a need for technically literatecitizens which can provide intrinsic value to the individual, community, and society. For examplethere is evidence that people see intrinsic value in their own college education (Taylor et al., 2011)and students value their engineering identity (Atman et al., 2010). The intrinsic value of anengineering education is also based on the fact that the systemic thinking of engineers helps onebe a better citizen in a society that relies on complex technologies.There have been notable successes and milestones in the
rich feedback automatically and instantly. Some best practices forautomated assessments that we employed at our university include: • Multiple (or unlimited) attempts on an assessment • Immediate feedback after each attempt that goes beyond just the score or the right or wrong answer • Re-assigning assessments for repetition in learning • Online/Textbook resources to support students through the assessments and to encourage self-directed learning • Find a balance between making the assessments low stakes, but making them worth enough points to show the students they are valuable • Evaluating student performance on automated assessments to enhance class timeThrough this use of automated assessment
. One considerable challenge to aneffective simulation model for such learning processes is the consideration of how to distinguishexplicit, implicit, and tacit forms of knowledge development and contextualized expertise. Someinitial efforts in this direction have addressed the organization of undergraduate required coursesand skills development as a process of facilitating and meeting expectations of campus or collegegoals for specific ABET or local learning outcomes5. A fully integrated simulation is beyond thescope of this paper, mainly due to my passion (student as “I”) for tying things one has to learnwith what one wants to learn (student as “subject of analysis”). The process of going through thisallowed me to develop in a way that was
they move through three structured laboratory experiences. A methodology for analysis has been developed including coding protocol and analysis for three of the questions and analysis development to improve inter-rater reliability and to check if there is a bias in the analysis. This activity is described in more detail elsewhere.18,19 • WORKSHOPS Four workshops for college and high school faculty have been delivered at Oregon State University and at ASEE’s 6th Annual Workshop on K-12 Engineering Education. The intent is to demonstrate the utility of the Virtual CVD laboratory as a learning platform at different curricular levels and to develop faculty expertise. This activity is
studies addressed through the workshops. As an example, some project failures may betraced to poor interaction and communications between the designers and the builders.Civil Engineering Body of Knowledge The ASCE report Civil Engineering Body of Knowledge for the 21st Century: Preparingthe Civil Engineer for the Future12, prepared by the Body of Knowledge Committee of theCommittee on Academic Prerequisites for Professional Practice, goes beyond ABET. The Bodyof Knowledge (BOK) defines 12 outcomes. The first 11 are identical to the ABET a – k. BOKoutcomes 12 – 15 are: “12. an ability to apply knowledge in a specialized area related to civil engineering. 13. an understanding of the elements of project management, construction
© American Society for Engineering Education, 2007 Bologning in the Wind1. IntroductionThe idea of the creation of a European Higher Education Space was formally presented forthe first time in the Sorbonne Declaration (Allègre et al., 1998).1 It represented the politicalwish to go further, beyond a mere economic union. Education and knowledge wererecognized as vital for Europe’s development. There were significant differences between theexisting higher education systems inside the different countries of the union. It was time tocreate the mechanisms to allow convergence, easing mobility for students and teachers inorder to share knowledge and experiences.The Bologna Declaration (Einem, 1999)8 established a strong
MindsetIntroduction(Full Research Paper). Much of the history of engineering education has revolved around mathand science so deeply that students expect they must excel at both if pursuing engineering as acareer [1]. However, at the onset of the century, the National Academy of Engineering publisheda study stressing the need to prepare for the future of engineering and called for a transformationto our engineering education landscape [2]. While math and science are vital to understandingand applying foundational concepts in engineering, the field has grown beyond this limiteddefinition and requires engineers become involved with design activities to adequately identifyproblems and create solutions [3], [4]. An element of empathy and considering human
optimize learning by keeping the amountof learning induced information within the limits of working memory. If the learner’s workingmemory is overloaded, learning will be hindered. Learning difficult subjects, due to the subjects’intrinsic complexity, imposes high cognitive load. CLT provides useful instructional guidelinesfor teaching subjects with high intrinsic cognitive load without exceeding limited working memorycapacity. In [9], we have shown how we segmented and sequenced learning tasks to reduce theload while improving students’ level of expertise which in turn increased the functional capacityof working memory through chunking. Figure 1 A Schematic Illustration of Deliberate Practice [10]Deliberate practice (DP
combining processes to minimize resource utilization and optimizeproduct quality. Such activities are essential to industrial competitiveness as theycan enhance safety, increase operating efficiency, lower energy usage, reducecapital costs, and/or reduce waste emissions and process hazards. Improvingprocesses using PI concepts requires engineers to integrate many fundamentalconcepts and goes beyond traditional unit operations. Engineers are often taughthow to synthesize a process by linking together standard unit operations, but arefrequently not trained to synthesize processes through linking togetherfundamental concepts in new ways for novel and efficient process designs. Thisproject seeks to correct this deficiency through the development of
to create an autonomous robot which students program to complete specific tasks ona competition course. Both course options have students participate in groups of three or four.Both options have recently switched to an inverted classroom pedagogical model in which thecontent remains the same, but each instructional day is divided into two parts: preparation andapplication6-8. The preparation is directed at the lower Bloom’s Taxonomy levels, and theapplication targets the upper Bloom’s Taxonomy levels9. Table 2 below shows the componentsand timing of a typical inverted class day schedule. Before class, students are first introduced tothe material and are evaluated. In class, this material is reviewed through a brief lecture andreinforced
participate in research. The first is through the NSERC Undergraduate StudentResearch Award (USRA) program. The department received eight total NSERC USRA positionsin 2018, and six were filled with students from our department. In our department, selection intothis program is primarily based on GPA. The second is through co‐op positions with researchfaculty in the department. This requires individual faculty to fund the student’s entire salary.There were two further Mech students hired via this avenue in 2018. Finally, students can enrollin a one or two term upper-year credit course where they complete a research project under afaculty member (students are not paid). Enrollments in this course tend to be low: fourteenstudents in 2018, three in 2017
Answer?" Australasian Journal of Engineering Education, vol. 3, no. 2, pp. 2-16, 2003. 3. Maldonado, S., Khan, M. A., & Moon, S. K., "Designing for the Future: AI and Machine Learning in Engineering Education," Computers & Education, vol. 123, pp. 100-113, 2018. 4. Bordogna, J., Fromm, E., & Ernst, E. W., "Engineering Education: Innovation through Integration," Journal of Engineering Education, vol. 82, no. 1, pp. 3-8, 1993. 5. Reynolds, A., & Lewis, D., "Teams Solve Problems Faster When They’re More Cognitively Diverse," Harvard Business Review, March 30, 2017. 6. Freeman, S., et al., "Active Learning Increases Student Performance in Science, Engineering, and Mathematics," Proceedings
FortWayne, and thus enhances students’ learning. Specifically, we highlight the features in Slack thatare helpful in teaching and team projects. In the end-of-semester surveys, the students gavepositive feedback on their usage of Slack. We believe that Slack serves as an excellent onlinetool to enhance communication and collaboration in computer science and computer engineeringcourses.IntroductionCommunication is a key element for classroom teaching and group project management inhigher education. Traditional communication methods in a classroom teaching setting include in-class interaction, office-hour meetings, and question-and-answer through emails. Manyuniversities also have set up e-learning platforms, which gives students access to not
an utterance, providing a finer time granularity. It captures the dynamic nature of speechemotions, going beyond the scope of utterance-level classification by capturing discreteemotional changes over time. The two different methods are illustrated in Figure 1. Figure 1: Speech Emotion Recognition (SER) methods2.1 Mel-Frequency Cepstral Coefficient (MFCC)Mel-frequency cepstral coefficients is a widely used feature extraction technique in the field ofaudio signal processing and speech recognition [3]. It was first proposed by S.B. Davis, and P.Mermelstein [4] in 1980. MFCC is crafted based on the auditory perception of humans, whichtypically does not register frequencies above 1 kHz.Essentially, the MFCC framework is
test scores: The role of creativity above and beyond GPA and personality,” Psychol.Aesthet. Creat. Arts, p. No Pagination Specified-No Pagination Specified, 2021, doi:10.1037/aca0000433.[9] O. O. Adepoju and N. Nwulu, “Engineering Students’ Innovation Competence: AComparative Analysis of Nigeria and South Africa,” Int. J. Eng. Pedagogy IJEP, vol. 10, no. 6, p.147, Dec. 2020, doi: 10.3991/ijep.v10i6.14695.[10] K. Sjöö and T. Hellström, “University–industry collaboration: A literature review andsynthesis,” Ind. High. Educ., vol. 33, no. 4, pp. 275–285, Aug. 2019, doi:10.1177/0950422219829697.[11] C. Páez-Avilés, F. J. Van Rijnsoever, E. Juanola-Feliu, and J. Samitier, “Multi-disciplinarity breeds diversity: the influence of innovation project
of years. She is the PI on a Research Experiences for Undergraduates (REU) site at CU. Her research interests pertaining to engineering education include learning through service, sustainability, women in engineering, and ethics.Christopher W. Swan, Tufts University Chris Swan is an associate professor of Civil and Environmental Engineering with additional appoint- ments in the Jonathan M. Tisch College of Citizenship and Public Service and the Center for Engineering Education and Outreach at Tufts University. Dr. Swan has also served as chair of Tufts CEE depart- ment (2002-2007) and as an officer in the Environmental Engineering division of ASEE (2001-2005). Dr. Swan’s current interests lie in the areas of waste
course relate to previous courses in the program would give students a better foundation on which to build their new knowledge. This paper describes the deliberate curriculum integration in the Electrical Engineering Program at the U.S. Military Academy in which topical linkages and recurring thematic examples are used to demonstrate course-to-course disciplinary linkages and reinforce foundational concepts as the student progresses through the program. For example, the integration effort strives to unify development of topics such as resonance, filtering, stability, transmission line behavior, and spectral characteristics of lasers in courses such as signals and systems, basic electric circuits
collective agency to resist oppressive conditions in and beyond the university for themselves, their communities, and future undocumented students. This organization was where the community cultural wealth of undocumented students converged to provide a set of navigational skills that could be utilized not only to get through the institution but to transform their current situations, exercising what Yosso (2005) [19] describes as transformative resistant capital [65, p. 720].This asset-based framing utilized within community cultural wealth and the connection oftransformative resistance through community organizing and local action representconnections that can be used to construct a model of education.Liberatory
, the Transforming Lives Building Global Commu- nities (TLBGC) team in Ghana through EPICS, and individual engineering ethical development and team ethical climate scales as well as everyday negotiations of ethics in design through NSF funding as Co-PI. [Email: buzzanel@purdue.edu]David H. Torres, Purdue University David is a second year doctoral student in the Brian Lamb School of Communication at Purdue University pursuing a PhD in Organizational Communication with a minor in data analysis and research methodol- ogy. His research interests reside at the intersection of organizational communication, organizational ethics, social network analysis, identity and identification, and leadership development
financial barriers to less resourced students. By designingoutreach programs to overcome these barriers, by building-in recruitment and admissionsprocesses that address inequities in students’ ability to represent their achievements andpotential, and inequities in meeting the financial and logistical burdens of making an application,programs can help ensure underrepresented students have more equitable access to suchprograms. Ensuring that the pool of applicants is diverse results in a more diverse programcohort, supporting the pipeline of underrepresented populations in joining a career inengineering.With our recommendations, we strive to promote inclusive practices to actively engage students,beyond utilizing such means to merely increase
research and teaching assistant, and an instructor. His research as a Ph.D. student is in autonomous vehicles, engineering education, and K-12 education.Dr. Anne M Lucietto, Purdue University at West Lafayette (PPI) Dr. Lucietto has focused her research in engineering technology education and the understanding of engineering technology students. She teaches in an active learning style which engages and develops practical skills in the students.Dr. Diane L Peters P.E., Kettering University Dr. Peters is an Associate Professor of Mechanical Engineering at Kettering University. ©American Society for Engineering Education, 2025 Design and Analysis of Automatic Control Systems for First-Year
awareness [18], and spatial anchor [19], enabling the spatial overlayof interactive digital content onto the physical world while monitoring the user's physicalactions. Due to its distinctive features and capabilities, MR technology has played a significantrole in enhancing engineering education, improving engineering training, problem-solving, andoverall student learning experiences [20]–[24]. Beyond its educational utility, MR serves as aneffective spatial visualization tool. Its interdisciplinary nature enhances its potential to strengthenstudents' spatial skills through engaging interactive modules that simulate realistic scenarios.Consequently, a compelling MR module centered on hydraulic systems has been developed andintegrated into fluid
thiscourse. Page 5.137.4To accomplish the objective of developing the ability to confidently design and conduct anexperiment, a series of activities are therefore designed that will bring the student through thevarious learning experiences needed to establish a level of competence in the design ofexperiments. Educational research refers to this process as scaffolding. Scaffolding allowsstudents to perform tasks that would normally be slightly beyond their ability. The engineeringeducation literature contains descriptions of a number of courses where student knowledge isgained through a scaffolding process (Abbitt, 1996; Byrd, 1995; Chan 1990; Kresta
Paper ID #43101Lessons Learned: Exploring Effective Student-centered Instructional Practicesin Middle and Upper-level EngineeringShabnam Wahed, Virginia Polytechnic Institute and State University Shabnam Wahed, currently pursuing a Ph.D. in Engineering Education, is dedicated to revolutionizing the learning experience for engineering students beyond mere memorization. Passionate about elevating students’ conceptual understanding, Shabnam directs her efforts toward refining the teaching and assessment methods for mastering fundamental and challenging engineering concepts. With a background in Electrical and Computer
engineering at different levels to junior/senior design projects usuallyseen in a normal engineering program. The details of the clinics will vary for differentdisciplines and different academic years, but all of them will be based on hands-oneducation. Modeled under medical clinic rotation, every Rowan engineering student needs toattend one clinic project each semester throughout his/her four-year undergraduate study.The topics of the clinics can vary broadly. In the first year, through simple hands-onprojects such as reverse-engineering a hand-powered radio, brewing beer 3, or building asmall Soccerbot, the freshmen will understand each field of engineering better anddevelop stronger interest in engineering overall. In sophomore clinic, students
, participants also saw explicit value not only in interdisciplinary research, but in theability to train their students in interdisciplinary work: I think the real reward is that you have a uniquely trained student who has a very different perspective than a more traditionally trained student.This training was particularly important to faculty relative to the limits of their own knowledgeand experience. For example, of the six faculty that were interviewed, five identified asinterdisciplinary researchers; the one who did not still stress the importance of interdisciplinarityand believed that this program enables students to engage in interdisciplinary perspectives whenfaculty members do not have the breadth of knowledge beyond their home
consistent with course instruction and lead review sessionsbefore each exam.Over time, the SAS program staff developed improvements and additional services basedon feedback from students and faculty, and research from tutoring programs at otherinstitutions.11, 12 Tutors were trained to provide student support beyond course contentand problem solving.13 Training sessions in best practices for student success guidedtutors to take on mentoring and coaching roles.12, 14, 15 Tutors were trained to coachstudents on time management and study skills.5, 14 Further, tutors encouraged students tomake connections and build learning communities with their peers, a recommendedintervention practice for underrepresented student groups.11, 14 In Fall 2015, the
function with respect tothe weights at that layer, starting with the final output layer and working backwards to the first inputlayer by applying the chain rule from calculus. The weights are updated through gradient descent,where the gradient with respect to a given weight is multiplied by the step size and subtracted from dLthe current value of that weight: wt+1 = wt − α dw , where wt is the weight at timestep t, L is theloss, and α is the learning rate, or step size. The loss function is one hyperparameter that may betuned on the development set. Simple loss functions include mean-squared error (MSE), which isthe sum of each training example’s squared error between the true label y and
to learn to solve both traditional and neverbefore seen problems? A sophomore level thermodynamics class is used in this study to test theeffectiveness of concept based learning. The project’s goal is to investigate concept basedlearning as an effective means of delivering material to students in ways that acknowledge andcapitalize upon the physiological process of learning.Objectives:The objectives of this project are to: • Build a thermodynamics course based on conceptual understanding rather than the traditional topic by topic approach. • Develop educational activities and tools that capitalize on the physiological process of learning through the use of concept based teaching and