covered is also given. This course is also part of the efforts of to establish an energyengineering concentration at our university. We would also like to thank in advance anyfeedback and suggestions provided by educators involved in similar enterprises. This paperpresents our experience of teaching renewable energy systems at the undergraduate level.1. Renewable Energy Education Challenges and OpportunitiesEnvironmental concerns, regulatory changes, and keep increasing energy demands, andelectricity market deregulation have created significant interest into alternative and distributedelectricity generation. Over the last three decades, the renewable energy industries have gonethrough a market boom, due to technical advancements, governmental
three-way light bulb and provide the user with the temperature in a room. Through the processof investigating, designing, building, and testing the physical prototype, the student developedtechnical research abilities and also personal development skills that will benefit them in thefuture engineering career.IntroductionUndergraduate research is a high-impact educational approach that can be used to enhancestudent engagement and enrich their active learning experiences [1, 2]. These researchopportunities can be structured in a variety of ways where students can be working voluntarilyunfunded, paid a stipend, or obtain course credits for participating. Although independent studiesor for-credit research project options exist at many higher
that bring students together to solve engineering challenges and engage inrobot battles have grown in popularity over the last 20 years [1]. With the increase in availableeducational robotics technologies (such as LEGO robotics, VEX Robotics, micro:bit, and othertools) robotics competitions have become ubiquitous in most school communities around theworld [2].These competitions have been shown to have positive learning outcomes for those whoparticipate [3,4]. Specifically, research into robotics competitions has shown that they positivelyimpact the development of: (1) problem solving skills, (2) self efficacy, (3) computationalthinking, (4) creativity, (4) collaboration, and (5) motivation [1]. Additionally, online and inperson robotics
East Hartford, CT as well as Crash Safety located in East Hampton, CT. Both of these experiences has helped him strengthen his knowledge in data analytics and optimization. One of Michael’s biggest interests in Ergonomics and Human Factors which he plans to purse later in his career. American c Society for Engineering Education, 2021 Analysis of STEM Students’ Ability to Respond Algebra, Derivative, and Limit Questions for Graphing a Function 1 Emre Tokgöz, 1Samantha Scarpinella, 1Michael Giannone 1 Emre.Tokgoz@qu.edu, 1 Samantha.Scarpinella@qu.edu
(PR) wasdesigned to support an existing Innovation-Based Learning (IBL) course. A short overview ofIBL will provide context for the current work.IBL has evolved out of Project-Based, Discovery-Based, and Experiential Learning. Innovation-Based Learning can be understood through Daniel Pink’s framework of Autonomy, Mastery, andPurpose [1]. Autonomy is most visible at the beginning of each semester as students enjoy boththe freedom and responsibility to propose a project and then self-assemble a working group [2].Purpose, which we often speak of as “external value” or “external impact” is emphasized in twoimportant ways during the course. First, as the course begins, potential projects must address asocietal gap/need; students must identify a
Association[1], the U.S. society has made a series of economic, sociopolitical, and moral decisions that havehad a cumulative impact on communities of color, particularly Black, Indigenous, andHispanic/Latinx communities. When we see differences in academic outcomes between Whitestudents and students of color, it is not an indication of an “achievement gap,” but rather anindication of the debt owed to groups that have been racially subjugated since the early days ofpublic education. By shifting focus away from discussions of why students of color are failingwithin the dominant paradigm and toward ways that the dominant paradigm fails students ofcolor, Ladson-Billings and other Critical Race scholars challenge us to expand our thinkingabout the
, online education effectively competeswith residential programs. For many disciplines, the interaction among students required fordiscussion or peer review of written work can be handled in courses through discussion boards,chat sessions, team conferences, and written assignments. Furthermore, for some courses,simulations and case studies can replace active learning sessions.[1] However, even with theadvances in online education, the challenges of most laboratory courses required on-sitelaboratory experiences because of the need for physical hardware and resources. Some of themost affected disciplines include engineering, the physical sciences and health sciences.[2][3][4] The 2020 pandemic created immediate and focused challenges that
doctrinal military ‘design process’ to address complex civilengineering problems. This design process is known as the Army Design Methodology (ADM)and it applies critical and creative thinking to understand, visualize, and describe complexproblems and approaches to solving them. The purpose of this paper is to describe the ADM andhow it is incorporated into the course, and to provide an assessment related to student learningoutcomes.IntroductionThe mission of the United States Military Academy (USMA) has evolved since the institution’sinception in 1802 [1]:To educate, train, and inspire the Corps of Students so that each graduate is a commissionedleader of character committed to the values of Duty, Honor, Country, and prepared for a careerof
organizational research attempt to improvetheir project processes and management by focusing on the human factors of their developers [1,2]. The case study offers an alternative perspective through a holistic, analytical approach ofdevelopers' technical and non-technical skills to improve project development and managementpractices. It also highlights the relationship between variables that affect project completion andthe effect variables have in different project development stages, which currently lacks literatureon the subject. Capstone course professors and managers of engineering project development haveconcerns about project management skills as project complexity increases [1, 3]. They haveexpressed that they rely on instinct to assess
task anal- ysis to identify what someone needs to know in order to solve problems or carry out tasks in a domain and then to use the results of the task analysis to guide the construction of teaching and training materi- als/environments. Catrambone has served on the Cognitive Science Society governing board from 2011-2016 and was chair of the Society in 2015. He was co-chair of the Cognitive Science Conference in 2010. He has served as a consulting editor for the Journal of Educational Psychology (1/2008 - 12/2011), the Journal of Experimen- tal Psychology: Learning, Memory, and Cognition (6/2000 - 12/2001 and 1/2009 - 12/2009), the Journal of Experimental Psychology: Applied (1/2001 - 12/2007), and the Journal
, ... ● Groups of 8 – 10 students rotate through a different mini camp each day ● Continuous, virtual mentoring from faculty and near- peers (undergrad) using Google Meet ● Group discussions on content materials ● Hands-on, active learning with virtual guidance 8 MINI CAMPS 1. 3D Design and Printing - Students designed and built a medical face shield 2. Physics Roller Coaster- Student completed simulations and then designed and built roller coasters and catapults 3. Mechatronics - Students assembled simple mechanical robots called brush bots and used TinkerCAD’s Circuit to construct LED Light Shows using an Arduino and electronic components. 4. Cosmetic Chemistry- Students made bath
our research to encompass active learning in online STEM classes. Our interiminvestigations begin to fill a research gap related to active learning in online classes. Theycomprise three research foci: (1) student resistance to online active learning, (2) barriersinstructors experience in implementing online active learning, and (3) strategies instructors useto promote student engagement during online active learning. Here, we summarize our researchprogress, describe our ongoing research, and share our next steps.Introduction Active learning occurs when students are actively engaged in the learning process;students learn in a manner other than listening to a lecture and taking notes [1]. Active learningbenefits student learning and
transitioned tohybrid in-person / remote learning approaches to prevent further outbreaks on campuses. WhileCOVID-19 has been devastating, we propose that the pandemic also presents anunprecedented opportunity to reflect, reassess, and ‘bounce forward’ to become more efficient,effective, and resilient. The National Academy of Sciences’ definition of resilience has spurred atheory of resilience that centers on four successive stages surrounding a disruptive event, suchas COVID-19: (1) plan and prepare, (2) absorb, (3) recover, and (4) adapt. In this paper wepropose a framework that environmental programs can employ to ‘adapt’ (stage 4) and ‘bounceforward’ to a more resilient modus operandi long-term. The framework first identifies eachactivity a
built to evaluate student learning objectives (SLOs), both ofwhich employ illustrative verbs from Bloom’s taxonomy as shown below in Figure 1. Forexample, to assess student comprehension of solid modeling of viscoelastic materials, studentsmight be asked to compare and contrast between Kelvin-Voigt and Maxwell models; “compare”and “contrast” are the verbs derived from Bloom’s taxonomy at the level of “analyze”.Figure 1: Bloom’s Taxonomy of a framework for evaluating student learning with exampleactive verbs for developing student learning objectives. (Vanderbilt University Center forTeaching)While it is a useful framework, Bloom’s taxonomy does not explicitly consider the concepts ofself-directed learning, engagement in professional communities
design processes of college freshman and seniors,design educators and practicing designers. Based on individuals constrained (both by time andscope of problem) in a lab design activity, Atman et al. (2005) were able to identify and describedifferences in design process practice such as time on problem definition, chronology of process,and iterative steps.A Design Expertise ContinuumAdams, Turns, & Atman (2003) described a possible design expertise continuum from novice toexpert. An open question from this work is investigating the trajectory of individual studentlearning (Figure 1) in Design Thinking. Figure 1. Potential Shapes of the Design Thinking Learning Trajectory, from Adams 13Adams (2001) found novice designers followed a
design.Keywords: Civil Engineering Design, Personal Values, Priming, Human-Centred Design,Decision Making, Engineering Values, Intention-Behaviour Gap, PlacemakingIntroductionEngineers are first and foremost human beings – at least for now – with personal belief,norm, and value systems. In this paper, we discuss the possible effect of the engineers’personal values on their behaviour, decision making (which is linked to problem solving [1]),and quality of design produced, especially when working on a Human-Centred Design task.Schwartz’s Personal Value SystemAccording to Schwartz [2, p.3], values are what “we think of what is important to us in life”and that “each of us holds numerous values (e.g., achievement, security, benevolence) withvarying degrees of
constantly incorporating new technologies in their work. While this may seemobvious given that engineers are responsible for the creation of a significant portion of thetechnologies used in the world, the practicing professional engineering community is sometimesconservative in their embrace of new technologies. This was the case with finite element analysis[1], [2], but with vastly improved user interfaces and local availability of significant computingpower the use of high-fidelity numerical simulations is seeing significant growth both in practiceand in the classroom.In Froyd, Wankat and Smith’s paper “Five Major Shifts in 100 Years of Engineering Education”[3] they include “Simulations” as part of the “Fifth Major Shift” and note that
, University of Texas El Paso American c Society for Engineering Education, 2021 Art and Engineering in Kindergarten (RTP) Introduction In the race to lead the world in academic standing, the US has formalized theKindergarten curriculum and swept away the center-oriented classroom design of play,exploration and socialization to a more academic setting [1]. Visual art and engineering are twosubject areas with precarious footing in the K-12 U.S. education system. One fading away witheach grade level and the other emerging only in recent years as a legitimate content area. TheTexas Education Agency added the Engineering
), Roll &Wylie[1] highlight this metaphor, and suggest that it has “run its course” as a useful paradigm. Interms of our understanding of AI, it has been difficult to conduct a holistic examination of thedisciplines that comprise the AI space in the past, due to differences in methods specific to thefields. However, recent advances in tools, as well as increased collaborations among diversepractitioners from the humanities, bioengineering, computer science and others is leading tobetter ways of exploring this space. Why does AI matter in engineering education? First, webegin with the premise that AI can support learning activity during the problem-solving stage byintroducing “surprise”, which has been identified as an important trigger for
to take Introductory Biology and ElementaryStatistics to provide them a chance to work on examples, view tutorials and take quizzes at theirleisure to enhance their classroom experience.Up until Spring 2020, the application was developed and maintained solely as an iOS App, withSwift serving as the primary language as Apple products are common in the educational setting.A recent survey among our students showed that of 26 students in a class in which the app wastested, 17 or 65% used an iPhone or an iPad. Additionally, there are sound development reasonsto focus on one platform or another 1 . Unfortunately, there were problems like the absence of testsfor classes/methods and refactoring issues for the student developers. Also, users found it
depends strongly on theparticular design project selected.Capstone projects are an important component in the engineering curriculum that combinevarious aspects of students’ learning into an integrated team project to address real-world,complex problems. Capstone projects frequently involve multiple elements including design,simulation, fabrication, validation, and cost analysis. This complexity requires system thinkingand can easily become interdisciplinary [1, 2]. Due to reporting requirements, interaction withcustomers and sponsors, and collaboration among different team members, these projects alsoprovide an excellent opportunity for practicing and improving written and oral communicationskills [3]. Capstone projects are considered an
new online tool that will provide additional support for delivering content at scale tostudents around competency development, reflection, and communication.IntroductionExperiential learning opportunities have been described as important in higher-educationcontexts for many years [1] as these opportunities have been linked to better career placementand recruitment and retention efforts [2]. Experiential learning opportunities have also beenidentified as a key pedagogical feature of engineering education as noted in the recent MITreport The Global State of the Art in Engineering Education [3] and others [4-8]. This emphasismay stem from experiential education’s alignment with engineering-design education efforts [9],its potential to support
analytical skills have been shown to improve with an increase in drawing skill[1, 2]. The physical act of drawing stimulates both sides of the brain and improves peripheralskills of writing, 3-D spatial recognition, critical thinking, and brainstorming [1–4]. However, asearly as grades K-12, students with spatial abilities are overlooked by current gifted assessmentprograms [5]. Due to emphasis on mathematics and verbal reasoning in standardized testing, andless attention to assessment of spatial skills, these students may not be seen as likely to succeedaccording to current predictive models of academic success [6], despite its necessity in STEMfields and impact on other STEM subjects [7].Studies by Sorby have consistently demonstrated that Spatial
-skilledtechnicians, though AM constitutes almost a quarter of the region’s total employment. Guided bythe overarching research question (RQ) “To what extent do curriculum content, employer needs,and student experiences align within an advanced manufacturing educational pathway,” thisNSF-funded study’s goals have been to 1) investigate the role AM program pathways have inmeeting the needs of employers and new professionals who are employed in the region; 2)expand the research base and curriculum content recommendations for regional AM education;3) build regional capacity for AM program assessment and improvement by replicating, refining,and disseminating study approaches through further research, annual AM employer and educatormeetings, and annual research
an “evaluate-and-improve” taskIntroductionWith the wide adoption of the Next Generation Science Standards [1], engineering has migratedto the elementary school classroom, often alongside existing science units. With funding fromNSF’s ITEST program and in collaboration with partner school districts, we developedintegrated science and engineering curriculum units for elementary school students in Grades 3through 5. In these units, students learn about a problem in their local community, then engage inrelated inquiry activities before designing and prototyping an engineering solution to theproblem. As part of our iterative curriculum development process, we wanted to assessindividual students’ design thinking practices at multiple points in
skillsthat may or may not be fostered across different engineering spaces and identify instances ofdissonance experienced by engineers related to the types of practices emphasized in a givensetting that could potentially affect their engagement or persistence in engineering.BackgroundModern engineers are called to tackle an array of complex issues of regional and globalsignificance—so-called Grand Challenges [1]—such as climate change and global health care.To fully address such issues, engineers must be able to identify and incorporate into theirdecision making all relevant elements of systems in which their work is contextualized.Employers, policy makers, and scholars call for promoting systems thinking in engineeringeducation because it is an
hands-on experiences [1], [2]. Engineeringtechnology is a relatively small major and due to its similarities to engineering is oftenoverlooked and at times assessed with engineering programs [2], [3].Due to engineering technology and engineering being two distinct fields, it is crucial to assessthese fields individually as an engineering technology student's way of thinking may not besimilar to an engineering student [3]. The research focused on understanding students' learningand social behaviors pursuing engineering technology will increase understanding of theirapproach to problem-solving [2], [4]. This study provides insight into engineering technologycompared to engineering students' thought processes by identifying engineering
theiropinion on the assignment layout.The study was truncated because of the COVID-19 pandemic, so only partial results arepresented.Low Level InstructionThe low-level instruction assignments were formatted to be resemble a traditional type ofassignment. Very short assignment instructions were included in the Canvas assignment (Figure1) along with a detailed lab instruction word document. Students were expected to download theinstruction document and follow along with all the steps, images, and support links. Each stepincluded all the knowledge and material to successfully complete the step, which generally madefor a lengthy document. Figure 1: Low Level Instruction Canvas AssignmentMedium Level InstructionThe medium-level instruction
team of researchers at a Southwest Hispanic-Serving Land-GrantUniversity embarked on an National Science Foundation-funded study to provide workshops forfirst year engineering students to introduce them to metacognitive awareness learning strategiesthat have the potential to help their study skills, and in turn, their academic performance. Toassess if these strategies were utilized and if they were helpful for students, we collected pre- andpost-intervention surveys and reflective writing journals. The survey items came from themetacognitive awareness inventory (MAI) [1] to measure pre- and post-knowledge andregulation of cognition. These surveys were administered to the introductory level engineeringclasses at the beginning and end of their
Minority Participa- tion (SUNY LSAMP) and the $1 million S-STEM Scholarship Academic and Social STEM Excellence for Transfer Students (ASSETS) programs. These NSF sponsored programs help low-income, and under- represented minority students persist and succeed in STEM majors and careers. Dr. Woodson received his B.S.E in electrical engineering from Princeton University and his Ph.D. in Public Policy for the Georgia Institute of Technology (Georgia Tech).Ms. Rachel Faye Perlman, Stony Brook University Rachel is a PhD candidate in the Interdepartmental Doctoral Program in Anthropological Sciences at Stony Brook University. Outside of her research, she is devoted to accessibility in STEM higher educa- tion. She has