≠ General Studies: three courses (3 credits each), one from each school (School of Engineering and Sciences, School of Business and Economy, and School of Social Sciences, Arts, and Humanities) from a list of approved general studies courses. These three courses could be taken in any semester of a program but preferably not in the same semester;≠ General Culture: 3 credits that can be fulfilled with courses, workshops, and/or other Co- Curricular activities (approved by the Council of Deans); these could be taken in any semester of a program.The faculty of all schools at UDLAP has incorporated these requirements into their degree plans.Many degrees require additional work in these areas or require the student to take
and focuses on systems integration. And IS fulfills an organizationalneed, but mostly from the management side.Of the five computing disciplines, computer engineering is the least closely related to IT. SE issmall in size nationwide and BYU doesn’t even have an SE program. For these reasons, this studyfocused on CS, IS, and IT.1.1 Research questions • How strong is the correlation between AC−CE and AE−RO, and major GPA among CS, IS, and IT students? • How strong is the correlation between AC−CE and AE−RO, and student satisfaction among CS, IS, and IT students? • Is there a correlation between major GPA and student satisfaction? • What is the best multiple regression model to fit these correlations?1.2
industries in international companies. He has provided secure enterprise architecture on both military and commercial satellite communications systems. He has also advised and trained both national and international governments on cyber-security. Since joining Brigham Young University in 2010, he has designed a variety of courses on information assurance, cybersecurity, penetration testing, cyber forensics, malware analysis and systems administration and published over a dozen papers in cyber-security.Joseph J Ekstrom, Brigham Young University Dr. Ekstrom spent more than 30 years in industry as a software developer, technical manager, and en- trepreneur. In 2001 he helped initiate the IT program at BYU. He was the Program
employability skills requires a mentor’s commitment to exposing students to andengaging them in activities and situations that provide them with opportunities to learn [7]. Inthis paper we propose an employability model to enable educational leaders to supplement theirSTEM programs with strategically placed and designed informal learning experiences to assiststudents in developing employability skills.2.0. Literature ReviewExperiential learning opportunities are valuable for gaining employability skills; while leadershipskills are also a core element of college and career readiness, engagement is the central pillarshared by this concepts.2.1 EngagementOver the past 40 years, educational researchers and policymakers have considered Tinto’s [8]theory of
created to offer an alternative totraditional coursework, as often there is not room in a curriculum to require automationtechnicians to complete separate cybersecurity courses. If an educator wishes to incorporate theCyber4RAM content into their course offering, the project team can share a SCORM packagethat can be utilized via their institution’s LMS. NICE Competencies for Badge 1. Asset and Inventory Mgmt. 2. Computer Languages 3. Data Privacy 4. Data Security 5. Digital Forensics 6. Identity Management 7. Incident Management 8. Infrastructure Design 9. Physical Device Security 10. Systems Integration 11. Vulnerabilities Assessment Figure 1: Badge Competencies Figure 2: Badge Development
at the University of Chicago.Dr. David B Nelson, Purdue University, West Lafayette c American Society for Engineering Education, 2016 Paper ID #15591 David B. Nelson is Associate Director of the Center for Instructional Excellence at Purdue University. He received his Ph.D in World History from the University of California, Irvine in 2008. David has been involved in many educational research projects at Purdue, including published worked in the programming education, student engagement and academic performance in dynamics engineering courses, and educational modalities in engineering, technology
talents frompre-college to 2-year and 4-year colleges, and graduate programs. Although there is an emphasison CS curriculum, non-CS STEM students and practitioners who frequently apply AI to theirtasks are also intended users of the educational materials.The project, which began in August 2020, is currently underway. The purpose of this paper is toshare the project team's exciting endeavor broadly. Specific information to be disseminated at theconference include: Design of a series of reproducible, customizable, modular, experiential educational units that can be integrated within existing courses and/or taken as standalone self-directed learning activities. Results (to date) of actual use of the educational units in
student involvement is an essential aspect ofmeaningful learning. Also, engaging students in learning is principally the responsibility ofthe instructor, who should become less an imparter of knowledge and more a designer and afacilitator of learning experiences and opportunities. In other words, the real challenge incollege teaching is not trying to cover the material for the students, as many of us believe andpractice today; but rather uncovering the material with the students. This is a call for allfaculty involved with teaching engineering courses and as members of faculty teams whodevelop, maintain, and implement engineering programs , to consider not only the contentand topics that make up an engineering degree but also how students engage
Paper ID #16894Online Videos: What Every Instructor Should KnowMr. Petr Johanes, Stanford University Petr Johanes is currently a PhD student in Learning Sciences and Technology Design (LSTD) at the Stanford University Graduate School of Education. He holds a B.S. and M.S. from the Department of Materials Science at Stanford University and has experience teaching engineering courses as well as researching engineering education, especially in the context of online learning. Right now, Petr is looking to investigate the role of epistemological beliefs in learning.Dr. Larry Lagerstrom, Stanford Center for Professional
ASEE Virtual Annual Conference Content Access.[3] Mena, I. B., & Schmitz, S. (2013, June), An Exploratory Study of the Research Mentor Experience in a Novel Undergraduate Aerospace Engineering Course Paper presented at 2013 ASEE Annual Conference & Exposition, Atlanta, Georgia. 10.18260/1-2--19184[4] Tsai, J. Y., Kotys-Schwartz, D., Louie, B., Ferguson, V., & Berg, A. (2012, November). Comparing Mentor and Mentee Perspectives in a Research-Based Undergraduate Mentoring Program. In ASME International Mechanical Engineering Congress and Exposition (Vol. 45219, pp. 229-239). American Society of Mechanical Engineers.[5] Ahn, B. (2014). Creation of an instrument to measure graduate student and postdoctoral mentoring
The other major activity of the imitative is to establish a broad teaching community throughcollaboration among diverse STEM faculty members and learning scientists. This teachingcommunity is designed to provide peer support for the implementation of the SRL assessment inmultiple STEM courses, and to help STEM instructors develop expertise in fostering activelearning thus developing effective pedagogy in STEM education. This teaching community isenvironed as a voluntary group of faculty members from the College of Science, Engineering,and Technology and the College of Education and Human Development, who share commoninterests in pursuing the effective pedagogy for enhancing students’ learning engagement andoutcomes. The project strategy for
Paper ID #10500Solar Cell Imaging: A Gateway to Stem DisciplinesDr. Michael G Mauk P.E., Drexel UniversityDr. Richard Chiou, Drexel University (Eng.)Mr. M. Eric Carr, Drexel University Mr. Eric Carr is a full-time Laboratory Manager and part-time adjunct instructor with Drexel Univer- sity’s Department of Engineering Technology. Eric assists faculty members with the development and implementation of various Engineering Technology courses. A graduate of Old Dominion University’s Computer Engineering Technology program and Drexel’s College of Engineering, Eric enjoys finding innovative ways to use microcontrollers and other
may help researchers build better taxitime prediction model and may help airport managers to make better decisions to improve airportefficiency and capacity. Educators may use this research to teach large-sample data collection,data cleaning and consolidation, design of experiment, and statistical and graphical methods toanswer research questions in undergraduate engineering courses. Undergraduate aerospace oraviation students may improve their comprehension of taxi times, ASDE-X, and airportoperations from this research.BACKGROUNDASDE-X is a surveillance system that provides air traffic controllers aircraft and vehicle surfacemovement and location information by using radar and satellite technology [9]. ASDE-X wasdesigned to mitigate
Toolkit for Visual C++ 5.0 and the Windows CE Toolkit for Visual J++1.1 were released as part of the July 1998 MSDN distribution. Optionally, one could havepurchased these packages from a reseller. A computer running Windows NT 4.0, Service Pack 3is the required OS and development platform. The development platform used for this project isa 200 MHz Pentium with MMX and 96 MB RAM, running Windows NT 4.0 at SP 4.0. BothToolkits were designed to be installed as add-ons to Microsoft Visual Studio 97, Professional orEnterprise versions. One could also add these Toolkit packages to the Professional or Enterpriseversions of, respectively, Microsoft Visual C++ 5.0 or Microsoft Visual J++ 1.1. Thus, eitherVisual Studio or the appropriate programming
resurgence in bilingualcurricula and programs. Globalization have attributed to this resurgence, where there is an ever-increasingdemand for ‘mobile’ workforce capable of communicating, both socially and professionally, withcoworkers of different mother languages.The paper describes and assesses three models for multilingual curricula. The models are assessed basedon satisfying the cultural and professional aspects of the language. A bilingual English/Arabic model wasdeveloped and implemented at Zayed University. The model is designed to keep away from theshortcomings in currently used models.IntroductionAccording to a recent survey study1 by the Modern Language Association of America(MLA) “Language study at American colleges and universities has
resurgence in bilingualcurricula and programs. Globalization have attributed to this resurgence, where there is an ever-increasingdemand for ‘mobile’ workforce capable of communicating, both socially and professionally, withcoworkers of different mother languages.The paper describes and assesses three models for multilingual curricula. The models are assessed basedon satisfying the cultural and professional aspects of the language. A bilingual English/Arabic model wasdeveloped and implemented at Zayed University. The model is designed to keep away from theshortcomings in currently used models.IntroductionAccording to a recent survey study1 by the Modern Language Association of America(MLA) “Language study at American colleges and universities has
resurgence in bilingualcurricula and programs. Globalization have attributed to this resurgence, where there is an ever-increasingdemand for ‘mobile’ workforce capable of communicating, both socially and professionally, withcoworkers of different mother languages.The paper describes and assesses three models for multilingual curricula. The models are assessed basedon satisfying the cultural and professional aspects of the language. A bilingual English/Arabic model wasdeveloped and implemented at Zayed University. The model is designed to keep away from theshortcomings in currently used models.IntroductionAccording to a recent survey study1 by the Modern Language Association of America(MLA) “Language study at American colleges and universities has
systems.acknowledgementThis work has been funded by the Global Laboratory for Energy Asset Management andManufacturing (GLEAMM) and Texas Instruments.references[1] A. Ramsetty and C. Adams, "Impact of the digital divide in the age of COVID-19," Journal of the American Medical Informatics Association, vol. 27, no. 7, pp. 1147-1148, 2020.[2] H. Greenhalgh-Spencer and M. Jerbi, "Technography and design–actuality gap-analysis of internet computer technologies-assisted education: Western expectations and global education," Policy Futures in Education, vol. 15, no. 3, pp. 275-294, 2017.[3] A. Banerjee, P. Glewwe, S. Powers, and M. Wasserman, Expanding access and increasing student learning in post-primary education in
be carried out. There is not a single “right answer” that will serve all organizations, butthere may be a “best answer” for a particular organization. For example, some may choose touse the capstone design process as their primary focus of their assessment process, while othersmay use the Fundamentals of Engineering examination, an in-house developed comprehensiveexamination, a set of core courses, or a portfolio of artifacts. The complexity caused by thisrange of choices is compounded by the multiplicity of ways of judging the artifacts, which mayrange from objective scoring schemes to subjective scoring schemes such as rubrics. Thedevelopment of scoring rubrics can also compound the complexity because of the possibility ofusing holistic
Computer Integrated Construction Research Program at Penn State. He teaches courses in construction engineering and management; Building Information Modeling; and virtual prototyping. He recently led a project to construct the Immersive Construction (ICon) Lab, an affordable, 3 screen immersive display system for design and construction visualization, and is developing an interactive virtual construction simulation application for engineering education. He can be reached at jim101@psu.edu.Thomas Litzinger, Pennsylvania State University Tom Litzinger is Director of the Leonhard Center for the Enhancement of Engineering Education and a Professor of Mechanical Engineering at Penn State, where he has
Paper ID #25521Analyzing Changes in the Individual Dimensions of a Behaviorally AnchoredRating ScaleMs. Maizey Benner, Purdue UniversityDr. Daniel M. Ferguson, Purdue University Daniel M. Ferguson is CATME Managing Director and the recipient of several NSF awards for research in engineering education and a research associate at Purdue University. Prior to coming to Purdue he was Assistant Professor of Entrepreneurship at Ohio Northern University. Before assuming that position he was Associate Director of the Inter-Professional Studies Program [IPRO] and Senior Lecturer at Illinois Institute of Technology and involved in
, including: During each WBE, STL was found to occur, regular STIR dialogs supportedSTL, and STL strengthened self-efficacy. These and other qualities of STL were found to helpadvance Broadening Participation in STEM as it is theorized in the literature.1. Introduction1Broadening Participation in STEM (BPiS) is a major initiative funded by the National ScienceFoundation (NSF) in a range of micro-, meso-, macro-, and exo-level programs that span formaland informal education settings for pre-kindergarten thru secondary, undergraduate, graduate,and postgraduate levels, on to transitioning into the STEM workforce as researchers, scientists,engineers, or other STEM professional careers. According to the NSF, “A diverse and capableworkforce is vital to
student involvement is an essential aspect ofmeaningful learning. Also, engaging students in learning is principally the responsibility ofthe instructor, who should become less an imparter of knowledge and more a designer and afacilitator of learning experiences and opportunities. In other words, the real challenge incollege teaching is not trying to cover the material for the students, as many of us believe andpractice today; but rather uncovering the material with the students. This is a call for allfaculty involved with teaching engineering courses and as members of faculty teams whodevelop, maintain, and implement engineering programs , to consider not only the contentand topics that make up an engineering degree but also how students engage
team roles can lead students to default intodomineering team leaders or passive free-loaders [25]. Evidence-based practices such as pairprogramming [12], role scripting [26, 27] and Process Oriented Guided Inquiry Learning(POGIL) [9, 13] have shown that providing students with structured roles can help themparticipate more equally during collaborative learning. Structured roles are designed to createpositive interdependence between the roles.In our classes, we based our structured roles on POGIL roles. The “recorder” writes the team’sanswers to problems, the “manager” is responsible for keeping the team on task, and the“reflector” is responsible for guiding the team in reflection activities on their learning process.POGIL has primarily been
Professions Program (PPP) engineering study, the results of which are in the report Educating Engineers: Designing for the Future of the Field. In addition, she is professor of Mechanical Engineering at Stanford University. Besides teaching both undergraduate and graduate design-related classes at Stanford University, she conducts research on weld and solder-connect fatigue and impact failures, fracture mechanics, and applied finite element analysis. In 2003 Dr. Sheppard was named co-principal investigator on a National Science Foundation (NSF) grant to form the Center for the Advancement of Engineering Education (CAEE), along with faculty at the University of Washington, Colorado School of Mines, and Howard
and what attributes high-quality narrative smoothingdemonstrate [5], [7], [17]. However, in our practice, most texts and papers lack a strongarticulation and demonstration of various ways to smooth narratives, and do not offerdescriptions of the exact procedure through which narrative smoothing occurs. We thereforehave designed this paper with two ends in mind: First, to promote the credibility and viability ofnarrative analysis for engineering education researchers, there must be greater transparencyregarding how researchers go from a raw interview transcript to a publishable narrative. Second,researchers considering using narrative analysis methods will be more equipped to employ anddefend their methodological decisions in using narrative
AC 2007-1955: IPV6 COURSE DEVELOPMENT FOR INFORMATIONTECHNOLOGY CURRICULUMSJohn Pickard, East Carolina University John Pickard has more than 15 years in the Technical training profession and 9 years experience in the information technology field. John has held various positions and has experience involving management, designing, testing and teaching of data networks, enterprise networking systems, digital switching systems and transmission systems. Currently, John is a faculty member at East Carolina University and holds an instructor position in the Department of Technology Systems. John is also a senior trainer at Network Training and Consulting and teaches courses in networking
operational conditions, wecan engineer the pathways to a final product.Thus, in this framework different objective functions and optimization should be carried out inorder to select the optimum pathway. Starting from lignin, there would be several possiblepathways to reach a target chemical as a final product. In order to design the best pathway toreach the target product, e.g. a polyester, we have to change the decision problem to theoptimization problem. A modified Dijkstra’s algorithm along with dynamic programming isdeveloped to make a trade of between maximizing economic benefit and minimizingenvironment cost.Environmental AnalysisFinding proper design to minimize the environmental effects in aforementioned model isequivalent to shortest-path
courses hadspecific AI usage requirements and clearly defined learning objectives related to the integration ofAI tools.The first course was Foundations of Software Engineering. In this course, two activities weredesigned to demonstrate the capabilities and limitations of AI tools. First, students were taskedwith recreating an HTML page using AI after first creating their own designs from scratch. Theexercise highlighted how AI can generate functional web pages but lacks the creativity andimagination required for unique designs. This often resulted in simpler, less visually appealingpages or required significant effort in writing detailed prompts to generate acceptable results. In aseparate assignment, students wrote their own code and then used
(EPM) is the part of a program to establisha comprehensive electronic packaging program at the University of Washington sponsored bythe National Science Foundation (NSF). A lecture course on EPM has been offered annuallysince Spring, 1995. However, it was realized that a single course without a lab section could notcover the entire area of EPM. As a first attempt, a new laboratory course was given in Winter,1998 along with the lecture course.The new laboratory course as well as the lecture course on EPM were jointly offered by theDepartments of Mechanical Engineering (ME), Materials Science and Engineering (MSE) andElectrical Engineering (EE). The target students were undergraduate seniors and first-yeargraduate students. In total, 21 students