message is sent to the farmer’s cell phone alerting him to the type ofmalfunction.Our phased, incremental, and keep it simple approach in tackling the implementation and testingof the system design paid off handsomely when at the end, we were able to successfully test andevaluate the system in the field (that is, on our sponsor’s farm). Our assessment of the systemwas very impressive. In it, we included detailed cost of the system, potential future cost savings,a comparison of our system against potential competitors, and a thoughtful list of what should bedone next to commercialize the monitoring alert system.1 Introduction and BackgroundToday, society is faced with a wide range of environmental problems that are continuing to grow inseverity
skillsmay also be a positive predictor of long-term intentional persistence. We providerecommendations to educators to meaningfully discuss ML/AI ethics in classes and encouragethe development of interpersonal skills to help increase diversity in the field.IntroductionArtificial Intelligence (AI) and machine learning (ML) have demonstrated tremendous capacityand promise to revolutionize data analysis and decision-making across sectors, includingengineering [1]–[3]. Global ML/AI hiring continues to rise, and the world’s top universities haveincreased their investment in AI education. In fact, from 2017-2021, the number of ML/AIcourses at the undergraduate level has increased by 100%, and at the graduate level by 40% [3].While the shift towards ML/AI
complex than the scope of acapstone project. This is the reason that the work for the research project needs to be brokendown to several components and some portions can be covered by multiple capstone projects.This requires careful planning because the capstone course has its unique requirements, whichmay not be consistent with that of the research project. In this paper, two capstone projects were carried out as a part of the building structuralanalysis research project [1-3]. The first capstone team designed and built a custom quadcopterthat could fly close to the building to find potential damage to the building [4][5]. The secondcapstone team designed and built an underwater robot to inspect the portion of a buildingstructures that are
Texas at Dallas. He joined San Francisco State University in Fall 2018 as an assistant professor in Mechanical Engineering for the School of Engineering. His research focuses on 1) designing lightweight, low-cost wearable robotic systems for people of disability and 2) developing novel control schemes that provide individuals with human-like motion using wearable robotics as part of their active daily living. Mechatronics and robotics education is another primary research focus he has been involved in to enhance project-based curriculum with evidence-based strategies to train the next generation of diverse engineers in this field. © American Society for Engineering Education, 2022
theirclasses been in person. Because a majority of each class did not participate in the survey, theconclusions on gender and connections were limited to the students who responded. Future workwill include creating social network diagrams in order to visualize connections within each class.Future work should also collect additional responses and include follow-up interviews to betterunderstand student perspectives on connections and virtual learning.IntroductionBecause of gender imbalances in STEM fields, the participation and retention of women in STEMhave been studied for decades [1] [2]. Many factors contribute to gender inequality in STEMeducation, one being social marginalization. Women often enter male-dominated fields and feelunwelcome because
; Alpert defined subclass polymorphism as a property that”allows different objects to respond individually to precisely the same message” [1], a definitionaffirmed by Armstrong’s survey of definitions of object-oriented (OO) concepts [2]. Becauseimplementing a polymorphic solution requires correctly integrating several challengingunderlying concepts, polymorphism is among the most complex topics taught in introductorycourses.A very simple example of subclass polymorphism can be demonstrated by calling a method vialate binding on each element in an array containing multiple types. In Java, a programmer must(see Listings 1 and 2): 1. Define a superclass with at least one method (Foo, Line 18) 2. Define one or more subclasses (Bar & Grault
intelligence to various computing domains including but not limited to education, cybersecurity, healthcare, human-machine teaming, and digital forensics. His projects have been funded by various agencies including the NSF (National Science Foundation), AFRL (Air Force Research Lab), NASA-JPL, Department of Energy, and the State of Ohio. © American Society for Engineering Education, 2022 Powered by www.slayte.comMini-projects based Cybersecurity Modules for an Operating System Course using xv6 Jansen Tan1, Divya Ravindra1, Quamar Niyaz1, Xiaoli Yang2, Ahmad Y Javaid3, Sidike Paheding4 1
develop and apply skills developedduring hackathons in the classroom, the following research questions guided this study: 1. What technical knowledge do students use in capstones and hackathons? 2. Where do students learn the knowledge used in capstones and hackathons? 3. How does the software development process used by students differ between capstone and hackathon projects?This paper builds upon a previously published work in progress, finding that students whoattended hackathons and a project-based learning Software Engineering degree, built transferableskills between hackathons and capstones. Participants described the employment of softwaredesign methodologies in both hackathons and capstone projects, various problem solving
designed a study to explore how the various connections faculty make withinthe university may potentially 1) influence their perceptions of ethical worldviews, 2) lead tonew multidisciplinary experiences for students in STEM courses. As a part of a major revision tothe undergraduate education curriculum at a southeastern R1 university, a plethora ofmultidisciplinary minors were created. The design and implementation of these courses over thepast 5 years have created numerous examples of multidisciplinary courses, for students ofvarying discipline and level of experience to participate. While efforts have been made to assessthe individual courses that are a part of the general education reform, little effort has been madein examining how the
1provides a representative list of eight programs [1-13] designed to integrate undergraduatestudents from engineering and the sciences. Depending on the program, participants are eitherrecruited from multiple institutions or limited to students from the host institution. Cohortsranged from about 10 students per summer to as large as 100+ students in one program.Research projects are often broad in scope to encourage participation from students acrossseveral majors. Examples include multi-scale systems bioengineering [3], the LearningEnhanced Watershed Assessment System (LEWAS) Lab [4], and Interdisciplinary Research inSustainable Energy and the Environment across Disciplines, or IR-SEED [11].Most summer programs are hosted at doctoral or master’s
Paper ID #37988Humanitarian engineering, global sociotechnical competency,and student confidence: A comparison of in-person, virtual,and hybrid learning environmentsAngelina Nicole Rivera (Student Researcher)Jessica Smith Jessica M. Smith is Professor in the Engineering, Design & Society Department at the Colorado School of Mines and Director of the Humanitarian Engineering and Science graduate program. She is an anthropologist with two major research areas: 1) the sociocultural dynamics of extractive and energy industries, with a focus on corporate social responsibility, social justice, labor, and gender and 2
raters during the coding phase. The standards relatedto engineering were all combined for the data record. During the coding phase, the researchersrated “0”, “1” or “2” for each phrase from standards that contained engineering relevance.Similar coding approaches to the K-12 standards exist in other studies (e.g., Yetter, Livengood,& Smith, 2017). For example, the physics O level, Newtonian mechanics-dynamics, has astandard related to engineering context where the key indicator called “sub-indicator of POD –PI” was rated as “1”. As we agreed that the standard met the key indicator requirement. “(d)recall and apply the relationship resultant force = mass × acceleration to new situations or tosolve related problems.” Another key indicator
andskills. The latter report came after the widespread implementation of the Next GenerationScience Standards (NGSS Lead States, 2013) which include engineering concepts, and thisreport aimed to “consider the capacity of the US education system to meet current andanticipated needs for K–12 teachers of engineering” (NASEM, 2020, p. 1). Following suchreports, the national discourse on P-12 engineering education has shifted from making the casefor teaching engineering in P-12 education to the question of how to do so with excellence. The literature on PCEE has expanded to include new frameworks (Moore et al., 2014),curricula (Chabalengula & Mumba, 2017), and standards for preparing teachers of engineering(Farmer et al., 2014); however, we
between teams. This work is incredibly important for thecompany, but doesn’t count much toward individual career progress. According to productivity logics, this is actually how it is supposed to work. Media studiesscholar Melissa Gregg [1], in her analysis of self-help literature, points out that people seekingcareer success are encouraged to identify the types of work that are most important and eliminatenon-essential tasks or delegate them to others. The small team leader is doing what he knows isnecessary for his own career progress. The central tension in this story, however, arrives whenwe consider those to whom the non-essential tasks are delegated, the ability of those individualsto resist or otherwise exercise agency in response, and
engineering, the college recently adopted a commoncore curriculum for first year students. The common core engineering curriculum emphasizes threeaspects – 1) Computational Thinking and Data Science; 2) Bio-Inspired Design and 3) Socio-TechnicalReflections. Introductory courses related to these topics have been developed and are required of allfirst-year engineering students regardless of their intended major. The development of these introductorycourses were based on a variety of factors including, trends identified by professional engineeringsocieties, evaluation of job advertisements, discussions with industry groups, exit interviews of studentsas well as review of pedagogic literature (e.g., Talmi et al., 2018; McGunagle and Ziska, 2020; Lavi
Paper ID #38001An Engineering Course as a Design ObjectNicholas D. Fila (Research Assistant Professor)Corey T Schimpf (Assistant Professor) Corey Schimpf is an Assistant Professor in the Department of Engineering Education at the University at Buffalo, SUNY his lab focuses on engineering design, advancing research methods, and technology innovations to support learning in complex domains. Major research strands include: (1) analyzing how expertise develops in engineering design across the continuum from novice pre-college students to practicing engineers, (2) advancing engineering design research by integrating
is a subset ofmachine learning and can involve large amounts of data. Deep learning involves the use of a neuralnetwork that mimics the biological brain. The neural network is trained by examples as opposedto being explicitly programmed. Deep learning makes it possible for computers to learn verycomplex models that were previously difficult to learn. This allows engineers to build manyapplications and solve problems that were hard or impossible to solve in the past. Fig.1: TI – RSLK MAXThis paper describes a hands-on approach to teaching students deep learning and involves creatingline follower robots that use deep learning. This curriculum was used for undergraduate andgraduate microcontroller courses in
addressed in this study: a) how can adding prompts to wordproblems help us better understand the first steps of the problem solving approach?, b) are thoseprompts sufficient to extract information from the first steps of the problem solving approach?,and c) does the use of prompts interfere with students ability to solve word problems?This study will benefit engineering programs searching for ways to identify issues in students’problem solving skills and looking for ways to correct those deficiencies.Background:Word problems are the type of problems most frequently solved in engineering programs. Wordproblems are classified based on their complexity, content, and structuredness [1].To provide a consistent metric to evaluate student work, rubrics
what we do to support individuals in the STEM professions, preventing an“epidemics loss” of caregivers and women, non-binary individuals, and transgender men.IntroductionThe COVID-19 pandemic has disrupted the aggregate science, technology, engineering andmathematics (STEM) workforce in acute and abiding ways. Like a natural disaster, there areacute effects of destruction: We lost talent and knowledge due to illness and death, shutdowns oflaboratories, and cessation of international travel [1]. Yet there are also abiding effects that willcome to light in the months and years ahead. In this paper, we consider how the existingstructure of STEM roles leads to particular acute and abiding disadvantages for women becausethe existing culture and
Engineering from the Georgia Institute of Technology. His degree in Mathematics was attained from Morehouse College.Sandra Sousa © American Society for Engineering Education, 2022 Powered by www.slayte.com 2022 ASEE Annual Conference Three-Year Review of a Short-Term Faculty-Embedded Aerospace Engineering Study Abroad Program in Brazil Ali P. Gordon1, Oliver McSurley2, and Sandra Sousa3 1 Department of Mechanical and Aerospace Engineering, University of Central Florida 2 UCF Abroad, University
programs to develop curricula and seek accreditation.KEYWORDSData Science, ABET Accreditation, Student Outcomes, Curriculum1 IntroductionDue to an increasing demand for data science related jobs [1], many universities started to offer Data Science degrees in the recent decade[1,2]. According to ABET [3,4], Data science draws on knowledge, skills and abilities from computing, mathematics, and statistics, allapplied in the context of domains that make use of data. The pervasive reach and multi-disciplinary nature of datascience causes special challenges in uniting traditionally separate disciplines into a coherent approach that produces ethical and well-trained practitioners. Agreement on standards is an important step in the maturation and
demand for office hours and longer wait times forstudents to receive feedback. In particular, more opaque automated feedback was associated withup to 57% longer wait times for office hours compared to more transparent automated feedback.A course that switched from opaque feedback to more detailed feedback decreased wait times by24%. These results can help instructors leverage automated feedback while ensuring timelyaccess to peer teachers in office hours.2 IntroductionThe past decade has seen an explosion in the number of students enrolled in undergraduateComputer Science (CS) programs [1][2]. While this surge of future programmers bodes well for aburgeoning industry [3], universities are having trouble providing adequate resources
support services to awide variety of students at our institution. Students are admitted to this program based on“circumstantial criteria such as their first-generation college status, under-performing /under-represented high school or neighborhood, low SES, [or] HS counselor recommendation”[1]. We quickly discovered that the structure of the course was not resulting in equitable learningoutcomes for ASP students. For example, over the four academic years leading up to our work onthis project (AY15/16 - AY18/19), the average grade for ASP students was 2.6 (B-) vs. an averageof 3.4 (B+) for non-ASP students. Furthermore, the DFW (D, F, or Withdrawal) rate was 29% forASP students and 8% for non-ASP students.Further, Figures 1-3 indicate that
, Learning and Educational Leadership Department at Binghamton University. Her research interests include (1) examining individual’s identity(ies) in one or more STEM disciplines, (2) understanding the role of making and tinkering in formal and informal learning environments, and (3) investigating family engagement in and interactions around STEM-related activities. Before joining BU, she completed a post-doctoral fellow ship at Indiana University-Bloomington. She earned a Ph.D. in mathematics education from Clemson UniversityAriel Zych (Director of Audience) As Science Friday’s director of audience, Ariel Zych actively leads the engagement, learning, research, and impact strategies and activities at Science Friday
conducting the camp, and on the surveymethodology and results.IntroductionContinued demand and growth in the workforce in the fields of STEM (Science, Technology,Engineering and Mathematics) are projected to grow over the next decade [1], [2], in line withtrends that had already began in the last decade [3], [4] where the number of employmentopportunities in STEM fields grew at a rate three times faster than in other fields [5]. A shortageof engineers in the workforce in the United States was also documented by [6].Despite the growing job market for STEM-related occupations, studies show declining interestand literacy among students in the United States to pursue careers in STEM fields [5], leading toa deficit in STEM graduates in the next decade [7
www.slayte.com Designed to Disrupt: A Novel Course for Improving the Cultural Competence of Undergraduate Computing StudentsIntroductionWhile there exist numerous efforts to broaden participation in computing, university computingdepartments (like the tech industry) still suffer from a lack of diversity, equity, and inclusion(DEI) [1], [2]. Despite commitments to fostering inclusive and equitable environments forstudents from diverse identities, current efforts have only marginally increased representation.This paper posits that this marginal improvement is because traditional efforts primarily centerstudents from minoritized groups through deficit-based approaches such as mentoring, affinitygroups, and readiness programs. However
Paper ID #36469A Study of Problem Exploration Heuristics of Families(Fundamental)Amber Simpson (Assistant Professor) Amber Simpson is a Assistant Professor of Mathematics Education in the Teaching, Learning and Educational Leadership Department at Binghamton University. Her research interests include (1) examining individual’s identity(ies) in one or more STEM disciplines, (2) understanding the role of making and tinkering in formal and informal learning environments, and (3) investigating family engagement in and interactions around STEM-related activities. Before joining BU, she completed a post-doctoral fellow
Technology, and the ETD mini-grant coordinator. © American Society for Engineering Education, 2022 Powered by www.slayte.com Polluting the Pristine: Using Mount Everest to Teach Environmental EthicsIntroduction“Because it’s there,” George Mallory famously responded in 1923 to the question “Why climbMount Everest?” posed by New York Times reporters [1]. The next year, he and climbing partnerAndrew “Sandy” Irvine walked into the clouds of Mount Everest and vanished for 75 years: hisremains were discovered in 1999, sans evidence that he had reached the summit, and Irvine hasyet to be located. Despite their highly publicized demise, Mallory and Irvine’s heroic efforts didlittle to
frequency domain,and the fourth plots the mean frequency calculated per second of data. The slope of a line of bestfit of the fourth graph can be used to determine the user’s current state of muscle fatigue, whichcan factor into an individual’s risk of injury [1], [2]. A commercially-available andnon-professional product for use during exercise such as the Myowearable will providecost-friendly access to a tool that can greatly reduce the risk of recurring injury.Introduction & BackgroundDoctors often recommend their injured patients avoid strenuous or physically demanding activityto prevent accidental injury. However, many patients are unsureof where that limit lies, until they have gone too far anddamaged their muscle more. Muscle activation