concepts and principles in a fun and exciting way. Once a modelrocket leaves the launcher, it is a free body in air. Model rockets have been used as student projectsfor decades. Many publications [1, 2, 4, 7, 13, 15, 18, 20, 21, 23, 24, and 25] report engineeringprojects in the same general area. Mathematical and physical aspects of model rocketry arereported in references 3, 6, 14, 16, 19, and 31. This paper describes a successfull implementationof PBL in an introduction class using the conversion of chemical energy into propulsion as itsfocus instead of the flight based focus found in earlier publications. Hence, this paper is the firstits kind in model rocket literature. The practical experience described in this paper is
[school anonymized for publication] change as a result of your internship? How will yourexperiences this summer shape your approach to next quarter and beyond?” at the end of their internship.This mixed-methods approach helps us track students’ motivations, perspectives, and plans for action andsituates their internship as an integral part of their CSE undergraduate education.B. Background 1) The role of motivation in learning: Motivation is critical to learning and leads one to pursueand continue to pursue an objective [1, Part II]. Importantly, motivation is believed to be an emergentphenomenon, meaning it can develop over time and be updated based on new experiences. As described in[2], self-efficacy theory [3] and situational interest
University educators should be responsive to integrate this intothe content, organization, and delivery of high-level technical short courses.1. Introduction Much research has been undertaken to understand and enhance one primary mission ofthe University as an institution: the education of students. The bulk of this work has focused onan interaction where students go to the University in its own context, whether that be a physicalpresence on a campus or through distance learning programs. In each case, the tone of thisinteraction is largely set by the culture of the University, comprised of values, expectations, andstyles of communicating. This approach may benefit many students, who will grow and flourishin the University context; however
from an internal grant opportunity by a group ofalumna and friends of WPI to support women in STEM [1]. In the very first iteration of theprogram, the goal was to enable high school women to engage in hands-on STEM research instate of the art research laboratories under the guidance of women graduate student role modelsfor a semester (10-12 weeks).By having the research projects supervised by graduate students, we did not have to burdenfaculty members (although they needed to approve their graduate student’s participation in theprogram) and the graduate students had opportunity to develop their skills in scoping a shortresearch project and mentoring younger students. Furthermore, to compensate the graduatestudents for their time and effort, a
perspective The mission statement of the 2018 SE3 report is as follows: “to attract and retain the besttalent into our profession, and to ensure all structural engineers have a pathway to successin their careers.”[1] From an engineering management perspective, this statement encompassesa lot of goals and aspirations that are often more difficult to understand than meets the eye. Forinstance, why does the committee choose to articulate that it is targeting “all structuralengineers”? The meaning behind this is alluding to the reported propensity of women andminorities leaving design and construction rated fields at a higher rate than average.[2] Inaddition, the phrase “pathway to success” can be a daunting one to understand by engineeringmanagers
and Beauty Hadrons conferences series and is presently Co-Chair Strand 1, NARST. His editing respon- sibilities include Guest Associate Editor Frontiers and series editor- Science and Engineering Education Sources. He is currently on the editorial board of Science & Education and Disciplinary and Interdis- ciplinary Science Education Research. He has had 13 books published, written 142 papers for journals and supervised 25 theses. He regularly serves as a referee for journals. He has been honoured to be a member of the Provost’s Circle of Distinction at Concordia University, received the Arts and Science Dean’s lifetime achievement award for teaching excellence, Canadian Association of Physicists Medal for
. This exposed our students tocollaborators among different fields, with their own terminology, goals, work methods andpractical approaches. Our paper reports on the initial experiment during the Fall 2019 term,involving two sections of an Artificial Intelligence class and one section of a Deep Learningclass. We are planning to continue this collaboration in the future.Keywords: Collaborative Learning, Interdisciplinary, Inter-Class teamwork 1. IntroductionStudents at California Polytechnic State University, San Luis Obispo (Cal Poly) are exposed topractical, hands-on educational activities throughout their course of studies, reflected by theuniversity’s “Learn by Doing” motto. In the Computer Science, Software Engineering andComputer
. Electrical Engineering and Information Technology, Vienna University of Technology M. S. Physics, University of Vienna M. S. Education Physics and Mathematics, University of Vienna Research Interests: Computer Science Education, Physics Simulation, Applied Computing c American Society for Engineering Education, 2020 Deep Learning for AgricultureAbstract. The global population is estimated to reach 8 billion by 2023 [1]. To feed such animmense population in a sustainable way, while also enabling farmers to make a living, requiresthe modernization of production methods in agriculture. In recent years there has been a lot ofexcitement in academic research and industry about the
increasing globalization, issues regarding international mobility of (often licensed)professionals in a host of disciplines have gained importance. Basic considerations of fairnessand economic efficiency prompt questions about restraint of trade, unnecessary barriers toprofessional practice, and policies that can facilitate domestic and international mobility oflicense holders in different occupations. Positions can be extreme. In the United States, achanging political climate has made libertarian ideas questioning the necessity of professionallicensure itself more prominent.1 Licensed professions in the United States, including engineering, have been concerned and,in some cases, felt threatened in the aftermath of the 2014 Supreme Court decision
energy[6] that utilizes harvested rainwater for irrigation. The FarmBot set up also provides a convenient platform to conduct small scale field experiments to investigate crop harvest characteristics based on a variety of inputs related to irrigation and nutrient levels. As mentioned earlier the FarmBot (Figure 1) has been installed at UMES to service a 10ft by 20ft bed. All
HispanicServing Institution (HSI) and Minority Serving Institution (MSI). The service region is alsomarked by low educational achievement and low socioeconomic status. Only 16.1% of residentsin the region have college degrees, compared to 31.5% nationwide. The percentage of people inpoverty in the service region is 20.5%, which is 1.5 times that of the state and national rates [1].Students from local high school districts lag behind their statewide peers in mathematics testingand readiness for college. In the past five years of assessment, only 22.0% of the region’s highschool students met or exceeded the state standard for mathematics, compared to the 31.6% ratestatewide [2]. In Fall 2016 at CSUB, more than one-fourth of all entering freshmen and 37
discuss the challenges and limitations faced during theproject including survey design limitations, inconsistency of survey interpretation, questions related toeffectively measuring sense of belonging, and student ability to discern change in sense of belonging. Theteam shares the methods they used to overcome these challenges and presents the lessons learned with anemphasis on best-practices and future recommendations. All work was completed with IRB approval andstudent identity protection.Introduction & BackgroundSense of belonging generally relates to self-perceptions of fit within a given context including classrooms,campus community, and affinity groups [1, 2]. Increased sense of belonging among students leads to higherlevels of
engineering through the exploration of: 1) race, gender, and identity in the engineering workplace; 2) discipline-based education research (with a focus on computer science and computer engineering courses) in order to inform pedagogical practices that garner interest and retain women and minorities in computer-related engineering fields.Dr. Matthew W. Ohland, Purdue University at West Lafayette Matthew W. Ohland is Associate Head and Professor of Engineering Education at Purdue University. He has degrees from Swarthmore College, Rensselaer Polytechnic Institute, and the University of Florida. His research on the longitudinal study of engineering students, team assignment, peer evaluation, and active and collaborative
, thisapproach may highlight deficiencies which may be used to inform STEM-based or discipline-specific cohort programs. The paper discusses 1) the implementation of the program, changesand improvements made from Year One to Year two; 2) success garnered by the first Cohort,only fully quantifiable after completion of the first year and start of the second year; 3) life afterthe first year for students who were a part of Cohort 1, and 4) success of students in Cohort 2. Itshould be noted that due in part to the experiences and success reported in Cohort 1, Cohort 2was doubled in size. The goals and associated success indicators of the program, how they weremet, and how they continue to be measured and monitored are described here. GPAs were aprimary
Mastery Learning Experiences and Academic MotivationIntroduction The National Academy of Engineers present the advancement of personalized learning asone of fourteen grand engineering challenges. Personalized learning has the potential to optimizethe learning process by taking into account the unique learning fingerprint of each student. Everystudent will bring to a class different cultural outlooks, levels of motivation, interests in thematerial, and preferences for learning[1]. When students are properly supported, a greater degreeof learning can occur both within the classroom and during independent practice[1,2]. Onepromising method of personalized learning is mastery learning, a theory described by Dr.Benjamin Bloom
science andtechnology innovation in Chinese universities, obtain the necessary conditionalvariables and allocation factors, and provide policy Suggestions for thedevelopment of higher education and scientific research in China in the new erathrough empirical research. Therefore, the research question of this paper is: (1)what are the comprehensive factors that affect the performance of scientific andtechnological innovation in universities? ( 2 ) From the perspective of policyformulation, how should universities improve the performance of scientific andtechnological innovation?Firstly, on the basis of literature research, condition variables are listed asreferences. Secondly, resource dependence theory is used to establish a model, anddescriptive
educational environments (e.g., [1], [2]). One of the student outcomes in the ABET criteriaincludes “an ability to function effectively on a team” and to “create a collaborative andinclusive environment” [3, p. 6]. Creating classroom cultures where students feel included andsupported is crucial for students’ sense of belonging, identities as scientists and engineers,learning, and persistence in STEM [4]–[9]. Through creating inclusive environments in ourclasses, we can help our students learn to engage in effective, respectful, and equitablecollaboration. Even further, we can empower students to examine who has access to, and isincluded in, the scientific community. To that end, we consider investigations of who doesphysics to be a part of physics
solutions that exist at the intersection of science, technology, engineering, and mathematics(STEM). Given the importance of STEM-informed solutions, there is a need to prepare a STEM-literatecitizenry capable of making informed decisions related to food, energy, and water in a world of rapidtechnological advancement.To address the need for STEM-literate learners, A Framework for K-12 Science Education: Practices,Crosscutting Concepts, and Core Ideas [1] has outlined key science and engineering competencies that allstudents should attain by the end of 12th grade. The Next Generation Science Standards (NGSS) weredeveloped based on the Framework and unlike the prior National Science Education Standards [2],engineering design has been elevated “to the
may not have a lot of discretionary time to devoteto formal out-of-school STEM (science, technology, engineering, and mathematics) programs,which foster the subsequent pursuit of STEM careers.1 Moreover, working youth may not haveextra disposable income to devote to many STEM activities such as attendance at sciencemuseums or the purchase of STEM magazines and materials, which also foster the pursuit ofSTEM careers.2, 3 High school students’ workplaces may thus be promising sites for fosteringequitable STEM learning because they are sites inhabited by many youth who do not have thesame access to formal STEM learning opportunities as youth from more affluent families.The purpose of this study was to identify the types of engineering-related
conferred him the grade of Senior Fellow of the Higher Education Academy.Dr. Sajjad Hussain, University of Glasgow Sajjad Hussain is a Lecturer in Electronics and Electrical Engineering at the University of Glasgow, UK. He has served previously at Electrical Engineering Department, Capital University of Science and Tech- nology (CUST), Islamabad, Pakistan as Associate Professor. Sajjad Hussain did his masters in Wireless Communications in 2006 from Supelec, Gif-sur-Yvette and PhD in Signal Processing and Communi- cations in 2009 from University of Rennes 1, Rennes, France. His research interests include 5G self- organizing networks, industrial wireless sensor networks and machine learning for wireless communica
parts of learning [1]. This work is basedin part on Kolb’s Experiential Learning Cycle [2] learning theory which states that learners learnbest, regardless of their preferred learning style, when they follow a certain process (cycle/spiral)consisting of four steps: experiencing, watching, thinking/modeling, and applying/doing. Thus,design on paper, computer modeling, and implementing the designs in the physical world arecrucial parts of learning. Kolb’s learning cycle has been applied in engineering education in manyundergraduate engineering curricula such as civil engineering [3-5], mechanical engineering [5],chemical engineering [3, 4, 6], aeronautical engineering [5], industrial engineering [7], andmanufacturing engineering [3, 4, 8
, only seven people even click on one of the ads, let alone apply. [1]In 2011 the Cisco Internet Business Solutions Group presented the data shown in Figure 1. Theyreported that sometime between 2008 and 2009 the number of connected devices exceeded theworld population.Figure 1: Growth of internet-of-things versus population [2]Within major telecommunications companies, the mix of services provided is changing. Data forAT&T, as presented by the Wall Street Journal, are presented in Figure 2. Of interest is thedecrease in wireline services and the increase in wireless services. Although wireless servicessegment grew by six percent, the revenue from wireless services grew by 166 percent. 70% 60
UniversityDr. Jean Ostrom-Blonigen, As the Project Administrator for the North Dakota (ND) Established Program to Stimulate Competitive Research (EPSCoR) State Office and the co-PI on our NSF and ND State awards, I work with leadership to manage the daily operations of several programs that operate to: 1) improve ND’s scientific capacity through interdisciplinary STEM research and education, 2) promote STEM workforce development, and 3) encourage economic development along STEM pathways. c American Society for Engineering Education, 2020 Paper ID #31365Dr. Kelly A. Rusch, North Dakota EPSCoR and North Dakota
differences in course grades and students’ self-reported use of metacognitive strategiesbetween SI and no-SI groups. Our analyses highlighted a statistically significant difference incourse GPA and QDFW rates for SI attendees (students who attended 2 or more sessions) vs.non-SI attendees (students who attended 0 or 1 session). The difference was even morepronounced when breaking the groups down by SAT score categories, with the SI groupoutperforming their counterparts in all categories. When polling students on aspects ofmetacognition, we discovered that both SI and no SI groups had similar rates of awareness anduse of “knowledge of cognition” strategies, yet SI groups had higher rates of awareness and useof “regulation of cognition” strategies. Thus
pedagogy for organizing theinstruction. Specifically, the semester-long project was divided into several problems.Students ultimately completed the project step by step in the process of solving theseproblems.Following the backward design process [1], the authors refined 5 learning outcomes fromABET criteria firstly and then designed a comprehensive assessment plan including directassessment and indirect assessment corresponding to each learning outcome. Lastly, theauthors designed instructional activities in class and after class assignments based on thelearning outcomes and assessment plan.The course’s signature characters include problem-based learning, driven by hands-onproblem solving and just-in-time scaffolding lectures, and portfolio-based
modeling, Dr. Keshwani is engaged in teaching and advising students across two academic colleges and is involved in numerous campus-wide student success initiatives including leading a civic-engagement program for first-year students. c American Society for Engineering Education, 2020 Role of agricultural simulation games to promote youth-adult discussions related to agricultural sustainability1. Introduction The 2006 publication by the Food and Agriculture Organization of the United Nations (FAO)sparked an initiative on how to feed the world by 2050 [1]. This report looked at populationgrowth estimates which illustrated that the global population would reach 9.1 billion people
and associate professor at the University of New Mexico in the Organization, Information & Learning Sciences program and in the Chemical & Biological Engineering Department. She served as Co-PI on an NSF RET Grant and a USDA NIFA grant, and is currently co-PI on three NSF-funded projects in engineering and computer science education, including a Revolutionizing Engineering Departments project. She was selected as a National Academy of Education / Spencer Post- doctoral Fellow and a 2018 NSF CAREER awardee in engineering education research. Dr. Svihla studies learning in authentic, real world conditions; this includes a two-strand research program focused on (1) authentic assessment, often aided by
Paper ID #31479Students’ abilities to solve RC circuits with cognitive scaffoldingactivitiesProf. Genaro Zavala, Tecnologico de Monterrey, Monterrey, Mexico and Universidad Andres Bello, Santiago,Chile Genaro Zavala is a Full Professor and Director of Undergraduate Studies in the School of Engineering and Science at Tecnologico de Monterrey, Monterrey, Mexico. He collaborates with the Faculty of Engineer- ing of the Universidad Andres Bello in Santiago, Chile. Professor Zavala is National Researcher Level 1 of the National System of Researchers of Mexico. He works with the following research lines: concep- tual
criteria, metrics, and data sources anddiscuss their application to evaluating MOOCs. The five levels of evaluation criteria are: 1)Learner Satisfaction, 2) Learner Outcomes, 3) Pedagogical Practices, 4) Learner Use, and 5)Broader Impacts. IntroductionCorporations spend millions of dollars each year on professional development training for theiremployees [1]. One approach to reducing costs has been to partner with Massive Open OnlineCourse (MOOC) providers, such as edX, Coursera, or FutureLearn. Additionally, engineeringschools have begun partnering with MOOC platforms to provide graduate degrees for workingprofessionals. Along with these new academic, industry, and MOOC provider collaborations isthe
calculations [15, 24] and providing students theopportunity to explore various questions such as “what happens if...?” [5]. In this study, we investigate the effects of integrating a technology used by professionalsin an Advanced Placement (AP) Statistics course, which is designed to provide students withcollege-level work while still in high school [10]. Technologies in AP Statistics course typicallyinvolve (1) spreadsheets for analyzing data and constructing visual representations of data; (2)multimedia materials to teach, tutor, and/or test students’ statistical knowledge and skills; (3) webor computer-based tools/simulations to demonstrate and visualize statistical content; and (4)graphing calculators for computation, graphing, or