devices toeconomy-critical and life-critical devices. A big reason for the proliferation of digital devicesinto every part of our lives is that digital systems have increasing capabilities at shrinking costs[1]. This seemingly contradictory march has often been characterized by Moore’s Law, namedafter Gordon Moore, co-founder of Fairchild Semiconductor and CEO of Intel.A critical challenge to continue this progress is management of digital circuit complexity. Thedays of hand-tuned digital circuits designed by single engineer are long gone. Modern digitalcircuits are far too complex for a single person to grasp and understand. To aid the moderndigital circuit designer, hardware description languages (HDLs) such as ABEL [2], VHDL (nowdescribed by
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
curator. a) b) Page 12.704.2Figure 1. a) The SciTechatorium at the Bellvue Santa-Fe K-6 Charter school in Avila,CA houses b) numerous demos and items that promote scientific inquiry for all ages.The SciTechatorium is open for a few hours per week (depending on docent volunteers),and is available to the K-6 students during recess and lunch. The children can come inand spend as much (or little) time as they wish to take out the reptiles, use the computers,look at displays, talk to Chick and the docents, and play with any of the numerousinteractive items at the museum. The museum is an amazingly fun and inviting
engineers tocome up with the most efficient plant layout. However, there is not a set methodology that can berepetitively applied to all plant layout exercises so that they turn out as the most efficient plantlayout. In this sense, creating of plant layouts is more of an art than a science1,2,3. Page 13.386.2To aid in coming up with the best layout, one needs to search for alternative solutions whichshould push one to become creative in coming up with a solution that is most efficient. Kirck3, 4has summed up these efforts in a worthy to repeat manner, which have been elaborated below:1) Exert the necessary effort to come up with an optimized
Page 12.367.3resources for learning, choosing and implementing appropriate learning strategies, andevaluating learning outcomes.” Knowles points out that there is convincing evidence that peoplewho take the initiative in learning (proactive learners) learn and retain more than do people whosit at the feet of teachers passively waiting to be taught (reactive learners). They enter intolearning more purposefully and with greater motivation. Knowles’ popularized a four-stepprocess for SDL: 1. Diagnose & formulate learning needs 2. Identify resources for learning 3. Choose and implement learning strategies 4. Evaluate learning outcomesWe have attempted to integrate this process throughout our project activities. This
” 1. Joseph Lowman in Mastering the Techniques of Teaching, statesthat “college classrooms are fundamentally dramatic arenas in which the teacher is the focalpoint, like the actor or orator on stage” 2. What better way to break the monotony of informationtransfer than a good story. Papadimitriou has recognized three main ways of using storytelling inthe teaching of a technical subject: (a) providing historical/biographical context to a subject, (b)illustrating a concept by a story, and (c) embedding educational material into a story 3. Thispaper provides examples of storytelling in a Materials Science class and student reactions to theclass. The paper is intended to serve as the starting point of an audience discussion during thepresentation
. Page 23.708.1 c American Society for Engineering Education, 2013 Implementing First-Year Design Projects with the Power of ChoiceAbstract: This paper presents the re-design of an introduction to engineering lab course at aprivate urban institution in the Midwest. In the lab portion of the course students were providedwith a menu of three design projects, asked to rate their interest in the three projects, and splitinto small teams according to these ratings. In a given semester the three projects centered on atheme such as water balloon launching technology or small vehicle technology. The averageinterest rating for all projects was rated as 3.58-3.65 on a 1-5 Likert scale while the averageinterest rating of
clearly a different approach must betaken.This paper describes the methods used to implement a digital logic design project in the first-year honors engineering curriculum and presents the quantitative and qualitative results obtainedfrom the assessment of project objectives through project grades, exam results, and studentsurvey responses.Literature ReviewHistorical Location of Boolean Algebra and Karnaugh Maps in Engineering CurriculumDigital logic concepts have historically been taught to electrical and computer engineeringstudents deep in the engineering curriculum. For example, the introductory logic design course atSanta Clara University has been taught at the end of the sophomore year or beginning of thejunior year 1. At Bucknell
, theresults tend to be context specific[1],[2],[3]. One possible cause of this is the exclusion of any linkof human errors to cognitive processes.The starting point for the present research is based on Action theory. This is a goal-directedtheory that assumes the existence of a conscious choice that guides a person's behaviour to someoutcome[4],[5].In this theoretical context, an error implies that through some intended action, thegoal was not attained[1]. Rooted in this theory, two models of human error taxonomy commonlycited in the literature are: the Generic Error Modeling System model[1] and the Skill-Rule-Knowledge (SRK) model[6]. These models further classify errors as being either the failure ofactions to go as intended (slips, lapse) or as
in contemporary softwareengineering principles, the experimental version of the course incorporated the followingvariations:1. The laboratory project now involves open-source mobile application development;2. The hybrid design methodology (waterfall and XP) is further explored by incorporating two or more development cycles into the project, while additional classroom activities further understanding of connections between the development process and application needs;3. Five active-learning sessions are included to enable reflection on past co-operative education or internship experiences and relate them to classroom learning. The objective of this novel pedagogical strategy, which we call UnLecture, is to bridge the gap between
and leadership that argue perhaps for acontinuum approach to their distinction. Within the domain of management, some observe a spectrumthat distinguishes between successful managers at one end and effective managers at the other:successful managers receive quick promotions, while effective managers care for people, cultivateloyalty, and achieve high team performance.11 The behaviors associated with effective managementsound a great deal like the behaviors Bass (1990) associated with leadership. Further supporting thiscontinuum concept, the total work of engineering management is seen by some to be comprised of (1)technical work, (2) conceptual work, (3) human work (i.e. leadership);9 within this framework,engineering leadership exists as an
. Forresponse rates of 40% to 90%, in steps of 10%, 40 survey trials at each rate were simulated. Ineach trial at each response rate, the corresponding number of respondents was randomly selectedfrom the 300 member dataset. For example, if the response rate was 60%, 240 students wererandomly selected as respondents for each trial. From the respondents, the percent of studentsheaded to industry vs. graduate or professional school vs. other activity as well as the percent ofthose students headed to industry who were successfully placed were computed. The results forthe % of graduates headed to industry are illustrated in Figure 1 and those for % of graduatesheaded to industry who were successfully placed are illustrated in Figure 2. The collection