Fire and Combustion Committee in the Heat Transfer Division of ASME and the Associate Editor of the Journal of Thermal Engineering and Science. She has chaired international conferences and organized a number of technical sessions for various conferences. She has served as a member of various boards and committees such as the AIST Foundation Board of Trustees.Mrs. Anusree Balachandran, Center for Innovation through Visualization and Simulation First year graduate student, studying Computer Science at Purdue University Calumet. Working as Re- search Student at CIVS(Center for Innovation through Visualization and Simulation), the research depart- ment of Purdue University.Miss Fangzhou Zhang, Purdue University Northwest
most cited frameworks in the literature on adaptability [13]. CCT defines career adaptabilityas the culmination of four mindsets: concern, control, curiosity, and confidence [58]. IATsimilarly describes adaptive work performance in terms of eight behaviors, five of which aresuggested to be the most relevant to scientific and technical occupations [59]: problem-solving,dealing with uncertainty, learning, demonstrating interpersonal adaptability, and handling workstress. This project combines CCT and IAT into an initial typology of adaptive mindsets andbehaviors (Table 1), to be built on and extended based on input from engineering managers,early-career engineers, and students. We also utilize the CCT framework to investigate thecatalysts and
Methods Faculty Apprentice Award in 2014.Miss Ashley Ferrante, Rowan University I am junior Civil and Environmental Engineering major.Mr. Adam Anthony CavallaroSamantha K PriceMr. Jeffrey E Dobkowski, Rowan UniversityMr. Zachery Dean Miller, Rowan University c American Society for Engineering Education, 2019 Paper ID #25399Student researcher c American Society for Engineering Education, 2019 Impact of "Algae Grows the Future" Project on Promoting Engineering Kauser Jahan , Stephanie Farrell , Cheryl Bodner , Gina (Ying) Tang , Adam Cavallaro , Jeffrey 1 2 2
that the teamswhich were most cohesive tended to develop a more practical and effective project. Accordingto Forsyth 4, cohesion is the strength of the relationship linking the members of the group to oneanother and to the group itself.The data collected every fall indicated the same satisfaction as shown in Table 1 for one of thefall semesters, 9 of 21 students felt that their presentation skills were very effective. On a wholethe majority (13 of 21 students) felt no changes needed to be made in future classes as indicatedin the row 2 of the Table 1. Subsequent semester generated the same data. Mark only one Not at all Partially Effective Very EffectiveDid your presentation help you with
-StartPartnership among Springfield public schools, Springfield Technical Community College(STCC), and Smith College. The three institutions worked together to create a series of summer Page 22.1092.13professional development workshops, entitled “Drafting a Blueprint for Teaching Tomorrow’sEngineers Today.”18 These two professional development workshops were composed of two-week summer sessions in both 2009 and 2010. In the summer 2010 workshop, instructorsintroduced concepts of Artificial Intelligence to the teachers attending. Talk to Me was presentedas a tool to help teachers integrate the concepts of AI into their classrooms. Table 4.1 lists the
implemented bythe proprietary IP cores. For the learning purposes, we define a simple synchronous bus protocolfor the two subsystems and call it FPro bus [10,11]. The FPro bridge, shown as the blue box inFigure 1(a), converts vendor's native bus signals into the FPro bus signals. It needs to beredesigned for each processor. MMIO subsystem The MMIO (memory-mapped IO) subsystem provides a framework to accommodate MMIOIP cores, which can be general-purpose and special I/O peripherals as well as hardwareaccelerators. The MMIO subsystem consists of a controller to select a specific slot and canaccommodate up to 64 instantiated MMIO IP cores. For simplicity, we define a standard slot interface that conforms to the FPro bus protocol.An MMIO IP
, D.C.: Commission on Behavioral and Social Science and Education, National Research Council).Duffy, Peter (2008), 'Engaging the YouTube Google-Eyed generation: Strategies for using Web 2.0 in teaching and learning', Electronic Journal of e-Learning, 6 (2), 119-30.Felder, R. and R Brent (2005), 'Understanding student differences', Journal of Engineering Education, 95 (1), 59-72.Halakova, Zuzana and Miroslav Proska (2007), 'Two kinds of conceptual problems in chemistry teaching', Journal of Chemical Education, 84 (1), 172-74.Herder, P. M., et al. (2002), 'The Use of Video-Taped Lectures and Web-Based Communications in Teaching: A Distance-Teaching and Cross-Atlantic Collaboration Experiment.', European Journal of
research team developed a template forthe ALMs to be used across all courses. This was done to ensure uniformity of the ALMs. Theresearchers hope that the similarity between the ALMs will help students better align theseconcepts with one another. Each ALM consisted of the following items: 1. Module description: A brief overview of the module, its contents and its purpose 2. Learning Objectives: Specific student learning objectives the module is focusing 3. Placement of the module within the course schedule: A suggestion to the instructor on where the module would fit within the course schedule 4. Topic description: Technical content of the learning module 5. Assessments: Methods to assess if the learning objectives are met 6
interviewwith Teresa M. Boepple-Swider, a professional certification chief for the New York StateDepartment of Health, eluded that a lack of professional recognition by the general public and acontinued stigma as a profession of last resort have hampered recruitment and retention effortsfor water and wastewater operators14.Currently, as dictated by federal regulation, the minimum training that most states require iscompletion of secondary education and a state-certified examination15. However, the AWWAand the Water Environment Research Foundation (WERF) have documented that the currentpool of available, non-degree workers lack the skills of prior generations and that futureemployees will need a greater level of technical skills than those currently
identification of threats and opportunities, wehope that other institutions facing similar threats will be able to benefit from our change process.Key Threats that Motivate our RevolutionWe have identified four critical threats facing the students, staff, and faculty of our departmentthat necessitate change. We begin by describing three threats that are more general to manybioengineering or engineering departments, but also describe one particular local threat that hascreated particular urgency for creating change in our department. 1. The design of innovative technologies that can aid doctors and patients is pointless if these technologies are not actually used by those doctors and patients. Increasing the uptake of biotechnologies requires
software engineering.OverviewThe Teaching Artificial Intelligence as a Laboratory Science †1 (TAILS) project is designed todevelop a new paradigm for teaching introductory artificial intelligence (AI) concepts byimplementing an experiment-based approach modeled after the lab sciences. It explores whetherstructured labs with exercises that are completed in teams before students leave the classroomcan build a sense of accomplishment, confidence, community, and collaboration among students,characteristics which have been shown to be critical to retain women and non-traditionalcomputer science students in the field.TAILS presents to students an array of fundamental AI algorithms as a set of hands-on activitiesmade available through a database of lab
experiences includes engineering positions at Detroit’s ”Big Three:” Ford Motor Company, General Motors Corporation, and Chrysler Corporation. At Stanford she has served a chair of the faculty senate, and recently served as Associate Vice Provost for Graduate Education. c American Society for Engineering Education, 2020Developing Contextual Social Awareness in Engineering: Placing humandiversity and social justice at the Center of the Engineering ProcessAbstractCan a deeper understanding of human diversity improve engineering processes and outcomes? Ifso, can we teach these social dimensions within the timeframe of a course? A predominant focuson technical aspects in the teaching and learning of engineering
, Journal of Vocational Behavior, 68(1), pp. 73-84, 2006.22. J.C. Dunlap, Using guided reflective journaling activities to capture students’ changing perceptions, TechTrends, 50(6), pp. 20-26, 2006.23. H. Rimm and M. Jerusalem, Adaptation and validation of an estonian version of the general self-efficacy scale (ESES), Anxiety, Stress, & Coping, 12(3), pp. 329-345, 1999.24. R. Likert, S. Roslow, and G. Murphy, A Simple and Reliable Method of Scoring the Thurstone Attitude Scales, Journal of Social Psychology, 5, pp. 228-238-238, 1934.25. R. DeHaan, R. Hanford, K. Kinlaw, D. Philler, and J. Snarey, Promoting ethical reasoning, affect and behaviour among high school students: An evaluation of three teaching
University Baker Martin is a Ph.D. Candidate in the Department of Engineering and Science Education at Clemson University and teaches in the General Engineering Program as part of the first-year engineering curricu- lum. His research interests include choice and decision making, especially relating to first-year engineer- ing students’ major selection. He earned his BS from Virginia Tech and his MS from The University of Tennessee, Knoxville, both in chemical engineering.Dr. Katherine M. Ehlert, Clemson University Katherine M. Ehlert is currently an engineering lecturer at Clemson University. She earned her PhD in Engineering and Science Education from Clemson University, her BS in Mechanical Engineering from Case
members will continuously improve the content and delivery of the course by sharing updates and improvements to each lecture topic. Regular interactions will take place via a workshop in the summer of 2014, regular pre- workshop internet meetings, regular post-workshop internet meetings, and visits to the collaborating institutions by the PIs.Thus, the CoP will provide two-way conversation between the creators of the material and theinitial adopters at the partner universities, with the intent that eventually the line between thesetwo groups is blurred.This paper and its companion poster are the result of a very recent (September 1, 2013) fundingaward from NSF (TUES Type 2; “Collaborative Research: Training Next Generation
Civil 18-29 Male No Yes White student- 3rd in Engineering years year or greater Southwest of agePositionality Authors 1, 2, and 3 are all first-generation college graduates. The lead author is a White,cisgender woman, who brings geoscience, as well as geoscience and engineering education,experience. She focuses on identifying how structural issues manifest interpersonally formarginalized individuals in engineering. The second author is a biracial cisgender man who has adoctoral degree in Language, Literacy, and Culture in education, and focuses on criticalqualitative inquiry with a discerning eye towards humanizing and culturally sustainingpedagogies. The
. Trajectory generation moduleWhen an axis of a machine needs to move from point A to B, the trajectory (path) connectingpoints A and B needs to be computed. This trajectory needs to result in a smooth acceleration ofthe axis from point A to a constant operational speed. After moving at this speed, the axis needsto smoothly decelerate to come to a stop at point B. This module explores the details of how sucha trajectory (motion profile) is generated in industrial motion controllers. Table 2 provides detailsof the module.III.1. Laboratory for trajectory generationThe module was supported with a laboratory activity where the goals were:GOAL 1. program the motion controller so that the X-axis of the XYZ Gantry machine (Figure 3a) will follow a
. The consensus was that very little work had been done tomeasure the broader understanding of technology among the general population and noappropriate, broadly-based assessment instrument yet exists. Some observations made by theNAE Committee on Assessing Technological Literacy are included in Table 1.Table 1: Observations by the NAE Committee on Assessing Technological Literacy.“Thus far, no studies have addressed general engineering concepts, such assystems, boundaries, constraints, trade-offs, goal setting, estimation, andsafety.”“Not a single study investigates what the general public understands about theseconcepts, much less how they come to understand them.”“the assessment of technological literacy [is] in its infancy.”“no single
access to electronic support tools1-9. Given access to suchkits, students could debug circuitry at home prior to their laboratory session so that they do notspend all of their in-laboratory time getting their circuits to work, which means more time foranalysis and discussion with the laboratory instructor.Options for such tools have been limited (refer to 5 for a tool listing with citations), which led the Page 25.892.2authors to develop the original RASCL platform,2, 5-7, 9. This platform offers a power supply, alarge-area breadboard, an analog function generator, two electrically-isolated input channels, anda collection of connectors for
analyzedthem on both SPSS and JMP statistical software.AnalysesIn our analyses, we first explored the validity and the reliability of the adaptive expertise Likert-scalewith the data we collected from the students and the engineers. Next, we explored the observabledifferences between the participants’ demographics and their responses to the survey items. Thenumber of participants who completed the surveys and their demographic information are summarizedin Table 1. Table 1. Number of participants and their demographics. Work exp. Technical or First Sex Age Major related to eng. research
, overlooking how these fundamentals relate to the world and its people. In an effortto empower and prepare the next generation of engineers to create sustainable solutions to globalissues, the Algae Grows the Future team at Rowan University, with funding from the NationalScience Foundation (NSF), has developed a curriculum based around algae. This curriculumutilizes algae-based experiments and lessons to teach foundational engineering principles,emphasize the link between engineering and humanities, and encourage students to pursuecreative, conscientious solutions. The curriculum has been designed with adjustable complexity,suiting K-12 and college freshman students, and has been implemented in both middle schooland freshman engineering classrooms
grant data in a CSV format through a converting tool. This feature enables the creationof a network of clusters based on keywords and/or terms (noun phrases) extracted from titles andabstracts of REU awards. Specifically, for each REU award, two different approaches wereadopted to extract terms and keywords. Terms were extracted from the titles and abstracts usingCiteSpace. Technical keyword phrases focusing on research contents of REU awards wereextracted by use of ChatGPT Application Programming Interface (API). Subsequently, anetwork of clusters was created based on the extracted terms and keywords. These clusters revealthe main topics of all REU projects in the dataset.Based on the above-mentioned clusters generated from REU and WoS
Approach section of this paper. Tangibledevelopments meant to support feasibility also included an LbE planning template, which givesspace to record the teaching elements we have identified. As we have developed new comparisonsessions for classroom use (on our own or with teachers), we have leveraged these templates toguide our thinking. The template serves as a generative tool by eliciting thinking about theinstructional experience. For example, debrief questions are organized to help teachers align keyconcepts with conceptual, technical, and transfer-learning elements (see Fig. 3). We have observed challenges to teacher time in preparation for the comparison sessions,although it has gotten easier with practice, based on our experience
. Merzdorf, D. Dorozhkin, K. Douglas, and J. Linsey, “Investigating priming effects of sketch evaluation instructions on idea generation productivity,” in International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, vol. 86267. American Society of Mechanical Engineers, 2022, p. V006T06A019.[12] D. Jaison, M. B. Weaver, S. Ray, H. E. Merzdorf, K. A. Douglas, V. Krishnamurthy, J. Linsey, K. Watson, and T. Hammond, “Wip teaching engineers to sketch: Impacts of feedback from an intelligent tutoring software on engineers’ sketching skill development,” in 2022 IEEE Frontiers in Education Conference (FIE). IEEE, 2022, pp. 1–5.[13] H. E. Merzdorf, D. Jaison, M. B. Weaver, J. Linsey
concept map for each textbook chapter after completing the chapter. The IHMCCmap Tool allows students to easily move a concept from one place to another and edit theentire concept map. Students submitted their concept maps to the instructor. At the end of thesemester, students responded to a questionnaire survey describing their experiences. Contentanalysis was performed to analyze student comments. The analysis involved coding, orcategorizing, the collected data and then counting the frequency of a particular code.Example concept maps generated by studentsFigures 1 and 2 provide the excerpts of two example concept maps generated by two students.Although both maps focus on the same concepts of impulse and momentum, the two studentsorganized their
in existingengineering literature as beneficial for students that fit many of the target demographics for thisinstitution. This institution is located in a rural area with many first-generation college studentsin the engineering student population. The institution also accepts many students into theengineering program who may need an additional semester or two of preparatory mathematicsbefore they are able to take part in the fundamentals of engineering course that is a first-year,first-semester course for students who are enrolled in mathematics course of pre-calculus orhigher. These populations of students are likely to have low social capital or pre-existingnetworks in areas that would support their college experience [1]. The designers
, conducting literature review, and evaluatingand communicating results of research. Follow-up activities are ongoing during the teacher’sacademic school year, including carrying out the lesson plans in their classroom, teacherstraveling to conferences related to their field, and introducing students to careers in simulation,visualization, and industrial research, as well as STEM in general through presentations and fieldtrips.IntroductionSTEM Education provides students with multidimensional capabilities that are necessary to meetcurrent and future workforce needs due to constant technological advances in nearly all industries[1-4]. Unfortunately, only a small portion of students are both proficient and interested in STEMfields [5]. Researchers
, beliefs, gender difference, mentors.INTRODUCTIONThe Engineering the Grid research experience for undergraduates (REU) is a ten week programsponsored by the National Science Foundation (NSF) with an annual cohort of 10 students for3 years. It was awarded to broaden the undergraduate multidisciplinary research teams at NCState beyond the NSF-sponsored Engineering Research Center (ERC) Future RenewableElectric Energy Delivery and Management (FREEDM) Systems where both investigatorsstarted both education programs: pre-college and college [1]. The goal of the FREEDMSystems is strongly centered on integrating scalable renewable generating energy sources intoan efficient power electric grid. Today’s grid, based on traditional electromechanical devices
should also be able to formulate alternatives. 6. Develop effective leadership skills in order to foster the ability to conduct collaborative research and work with a diverse teamPhD Program Outcomes 1. Ability to apply quantitative skills and engineering principles to propose novel and practical solutions to medical/human health problems. 2. Understanding of professional and ethical responsibilities. 3. Ability to communicate scientific problems and solutions, as well as their impact, effectively to a diverse audience and stakeholders both orally and in writing. 4. Demonstrate depth of technical knowledge in chosen research area, shown by the ability to identify an important scientific problem, formulate a
). Page 25.1081.5The various parts of the project assignment are described in the instructional type formatthat is given to the students. There are six parts to the project.Project Assignment Part 1: Reading AssignmentRead the tutorial paper [3] and write a critical synopsis on biometrics in general and facerecognition in particular. Also, read and develop a general understanding of the system in[6] as the methods in [6] will be implemented.Project Assignment Part 2: Familiarization with DatabaseUsing the ‘imread’ and ‘imshow’ commands in MATLAB, plot the face images ofseveral subjects. Develop an appreciation of the differences in lighting, facial expressions(open / closed eyes, smiling / not smiling) and facial details (glasses / no glasses) of