://doi.org/10.1145/1272848.1272879[2] T. Jenkins. On the Difficulty of Learning to Program. In Proceedings for the 3rd Annual conference of the LTSN Centre for Information and Computer Sciences , Loughborough, UK August 27 - 29, 2002.[3] Bergin, Susan & Reilly, Ronan. (2005). Programming: Factors that Influence Success. ACM SIGCSE Bulletin. 37. 411-415. 10.1145/1047124.1047480.[4] Keith Quille, Natalie Culligan, and Susan Bergin. 2017. Insights on Gender Differences in CS1: A Multi-institutional, Multi-variate Study. In Proceedings of the 2017 ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE '17). ACM, New York, NY, USA, 263-268. DOI: https://doi.org/10.1145/3059009.3059048[5] Kersteen, Z. A
course. At an R1 research institution in the USA, the CS1 course for engineering students was of-fered in a flipped classroom. With a new learning environment emerging in many universities,it is important to question how effective this new medium is at cultivating students’ conceptualunderstanding. Furthermore, educational researchers must also investigate how influential differ-ent factors are to students in this new learning environment. Therefore, this paper focuses on thequiz and homework submission times and their effect on the overall students’ performance. Moreimportantly, quiz time is being investigated since the majority of learning, in this environment,is reliant on a student self-managing their time and engaging with the lecture
server for databaseand user management. However, given the emergence of new technologies, embeddedprocessors are becoming more powerful, faster, and resourceful. It is now possible to replacepersonal computers or workstation with embedded processor boards. Figure 1: Concept diagram of a remote testbedThe author has developed a number of remote experimentation facilities utilizing IoTinfrastructure. To explore technologies involved in the development, Figure 1 shows aconceptual structure of a remote testbed. The main components can be identified as theexperimental setup, local computer/server, Internet cloud, and remote clients. Theexperimental system is connected with a local computer/server, which plays the role of
rheumatology, 34(3):458–459, 2007.[22] Ben Shneiderman. The eyes have it: A task by data type taxonomy for information visualizations. In Proceedings of the 1996 IEEE Symposium on Visual Languages, VL ’96, pages 336–, Washington, DC, USA, 1996. IEEE Computer Society. ISBN 0-8186-7508-X. URL http://dl.acm.org/citation.cfm?id=832277.834354.[23] Punya Mishra and Matthew J Koehler. Technological pedagogical content knowledge (tpck): Confronting the wicked problems of teaching with technology. In Society for Information Technology & Teacher Education International Conference, pages 2214–2226. Association for the Advancement of Computing in Education (AACE), 2007.[24] Katrin Becker. Wicked id: Conceptual framework for considering
of information on a variety of topics, which lawenforcement agencies can access after individual verification of employment [5]. Those agenciescan then use open source data for a variety of functions: identifying and verifying facts, socialnetworking, identifying criminal offenders, understanding and interpreting ideologies,identifying criminal methodologies, and identifying emerging crime issues and trends [5].Therefore, the government and law enforcement agencies can use information gathered frompublic sources defensively to protect from physical or cyberattacks and capture criminals, inaddition to offensively.For-profit companies have also adopted OSINT methods to create defensive strategies againstcyberattacks. The advances in technology
and Tech- nology. He teaches undergraduate and graduate Information and Computer Technology (ICT) courses within the Department of Technology Systems. Dr. Pickard plays an active role in building positive and sustainable industry relationship between the college, local businesses, and industry partners. Current industry recognized certifications include; Cisco Certified Network Professional, Microsoft Certificated Professional, EMC Information Storage and Management, IPv6 Forum Certified Engineer (Gold), IPv6 Forum Certified Trainer (Gold), and Cisco Certified Academy Instructor. Dr. Pickard received his Ph.D. in Technology Management at Indiana State University. He also holds an MBA from Wayland Baptist Uni
in the School of Software Engineering at Jinling Institute of Technology in Nanjing, China. He was the dean of the college between 2014.05-2018.01. He was also the dean from 2006.04 to 2010.01 and a Professor between 2003-2014 of College of Soft- ware Engineering at Southeast University, Nanjing, China. His research interests include Algorithms of artificial intelligence, software engineering, and fuzzy theory. He received his Ph.D. in Mathematical Information science from Osaka Prefecture University of Japan. c American Society for Engineering Education, 2019 A Snapshot of Undergraduate Computing Education in China Xiannong Meng
to join CSUF, he worked as a Software Engineer with EDS and Volts Group, Houston, TX for the oil and gas utility management system, during 1997-1999. Dr. Ryu is a 2007 recipient of the Outstanding Teacher and Scholar Award from California State University, Fullerton.Dr. Raman Menon Unnikrishnan, California State University, Fullerton Dr. Raman Menon (”Unni”) Unnikrishnan is a Professor of Electrical Engineering and Computer En- gineering at California State University Fullerton. He is also a Distinguished Visiting Professor of En- gineering at Mukesh Patel School of Technology Management and Engineering of NMIMS in Mumbai, India. He received his BS degree from the University of Kerala, India, MS degree from South
Paper ID #29525Predicting Retention Rates from students’ Behavior.Dr. Awatif Amin, Johnson C. Smith University Awatif Amin is a computer science Assistant professor at Johnson C. Smith University scince 2001. She primarily focuses on programming and data analytics. She completed her Doctorate of Management in organizational Leadership with specialization in Information System Technology (DM/IST), She earned her B.S. and M.S. in Computer Science. c American Society for Engineering Education, 2020 Predicting Retention Rates from students’ Behavior.AbstractMachine learning and Data mining
(MET)degrees, most students spend a semester embedded with a company, working on a well-definedproject while a smaller number work with a faculty advisor or professional on an internal appliedresearch project. For computing majors in the Computing Technology (CT) program, offeringComputer Science (CS) and Information Technology (IT) degrees, students experience both anexternal setting through a one-semester Internship with an industry partner and an internal settingthrough the undergraduate research Capstone project, a team effort with an annual enrollment ofabout 20 students all presently working in speech recognition.Literature ReviewThe proceedings of the American Society of Engineering Education (ASEE) and the Associationof Computing
challenges [5]. Yet this shift has resulted in a new set of concerns,and structural inequalities. While it is common in hiring that each company has their owninterviewing styles and expectations, technical interviews are a hurdle unique to computing fields,referring to computer science (CS), computer engineering (CE), and information technology (IT)[7, 11, 12].As described in this work, technical interviews refer to a hiring interview for a computingposition that occurs online, via phone/video call, or on-site/in-person, and that includes anycombination of problem solving, coding, or programming tests for job candidates [11–13].Preparation for the technical components of the hiring process is expected to begin months, andeven years, before a student
process, and explore mentionsof attempts to increase diversity, or actions taken to make the process more inclusive.Therefore, we suggest an examination of current literature using a systematic literature review(SLR) of the hiring process in computing. Computing itself can be a fairly broad term, anddepending on the country of interest for examination, the fields under this umbrella may haveother names entirely. For the purposes of this work, we considered computing according to globaldescriptors: software engineering (SE), computer science (CS), information technology (IT),information systems (IS), computer engineering (CE), or information and communicationtechnology (ICT). These more general labels in the field encompass a panoply of positions
intersection of engineering education and neurodiversity. She holds a Bachelor of Science de- gree in Organizational Leadership and Supervision from Purdue University, an MBA from the Goizueta School of Business, Emory University, Atlanta, Georgia, and a Ph.D. in Engineering Education from Purdue University. c American Society for Engineering Education, 2018 Investment in Informal Outreach Programs: A systematized literature review of informal Pre-College STEM programs in African American communitiesAbstractThis paper is a systematized literature review examining pre-college informal STEM (science,technology, engineering, and mathematics) education in African
addition, the Office of Information Technology Service (OITS) at Excelsior College is a centralized unit, which maintains technology aspects of the system and provides technical support to the faculty, students and staff of the college. 2. Student support: Administratively, Exceslior College has established a comprehensive virtual student service site. Through this site the students upon enrolling in the program can get access to various student services. These services inldue online registration, academic profile development, and access to the vritual library, etc. Academically, upon entering the program, students are directed to their academic advisors who review their profiles, provide one-to-one
award from University of Nebraska-Lincoln in 2008. Dr. Meadati’s research interests in- clude Building Information Model (BIM), BIM applications in Architecture Engineering and Construc- tion (AEC) education, 3D laser scanning, Radio frequency Identification (RFID) and integration of mobile technology with BIM.Dr. Parminder Juneja, Southern Polytechnic State University (ENG) Dr. Parminder Juneja is an Assistant Professor in the College of Architecture and Construction Manage- ment at the Kennesaw State University. Her educational background includes PhD in Integrated Facility Management from Georgia Institute of Technology; Masters of Technology in Building Science and Con- struction Management from Indian Institute
transferinformation without loss of data.2,9. This range of packages is illustrated in Figure 1 below. Thisincludes design software 3D BIM modeling software, scheduling software to produce 4Dmodels, and digital document control software to track changes in information during theconstruction phase.The CAD industry, including construction is expected to continue to grow at a rate ofapproximately 2 percent per annum, and is expected to result in revenues of over $8.2 billion by2016.10 The existing market itself is experiencing a rapid evolution due to cloud, social andmobile technology, and this is likely to continue. In order for construction companies to remaincompetitive in this area it is necessary for higher education institutions to provide a balance
, “Engineering Thinking and Rhetoric,” Journal of Engineering Education, July 1998, pp. 227-229.Bibliographic Information: Jennifer L. Craig, M.S, M.A., teaches in at the Page 11.1232.9Massachusetts Institute of Technology in the Program in Writing and the Humanities andthe Department of Aeronautics and Astronautics.
rapidly growing learning servicescompany, edCetra Training. According to Reuben Tozman “Schemas are the evolution of theinformation mapping process and the culmination of the information gathered to date into astructured model that imposes itself on the design process.” Tozman also indicates thatSchemas impose structure using organizational taxonomy, ensure consistency within anorganization, and save time and money. In other words, Schemas are a set of rules fordesigning instruction that delivers the right information to the right people in an appropriateway. When the author tried to develop a mechanical vibrations course, he tried to incorporateone of Reuben Tozman’s ideas in to his classroom curriculum design. This is because ReubenTozman says
rapidmanufacturing systems do. CNC has been considered as a Rapid Manufacturing technologyamong many manufacturing engineers. CNC technology has been the dominant RP/RMtechnology before the emergence of additive processes. However CNC technology haslimitations with respect to geometry, tool wear, and set-up requirements. RP/RM utilize layer-by-layer build technology. CNC shapes parts by the selective removal of material (metal orplastic). Matthew C. Frank points out the difference between two technologies11: “Unlike theexisting rapid prototyping methods, CNC machining is a subtractive process; therefore, onecan only remove the material around the periphery of a part (visible cross section of thepart).” Prominent rapid prototyping experts Terry Wohlers and
theircustomers. Team members need to be empowered with current information, dedicatedresources, and established boundaries to accomplish their mission. Some literatures haveshown the benefits of applying lean principles to non-traditional environment, such asoffices [2-4], and laboratories [5]. Lean office techniques can be implemented to buildhigh performance organizations, and people, processes and tools of an organization - andthen maximize that value by optimizing the flow of information and ideas. Laboratorieshave been slow to adopt lean manufacturing principles to help improve their performanceand the services they provide to their customers [6]. Some questions, such as, ‚ What would be the impact of using the lean manufacturing principles
3 Dollars per in $9.11The future role of the CPIC will be as an educational center continually adding to the knowledgeand experience of students. Multidisciplinary student research similar to what is outlined herewill assist to understand and make viable this emerging technology. Maintaining documentedaccounts of continuing research projects will facilitate the evolution and interest in the CPIC.The Department of Defense (DOD) has requested that the National Research Council (NRC)conduct a study to develop and define a coherent framework for bridging communication gapsbetween design and manufacturing. One recommendation made by the NRC is that “[the DoD]should invest in the
Education, 2012 Teaching Biomedical Engineering Design Process and Development Tools to Manufacturing StudentsIntroductionIn an age where main US manufacturing sectors have been struggling and name recognition ofmanufacturing programs whether engineering or technology are not strong enough to attractmany incoming students, the need to readjust is crucial for survival of our programs. This caneasily be accomplished by identifying other fields where manufacturing is applied but notincorporated at a wider scale into our curricula. There are many areas to consider, from energymanufacturing to micro and nanotechnology. Biomedical development and manufacturing is oneof these areas indicating great opportunities and future
programming. The use of RF energy is ubiquitous in thescientific research community, and some of the most hazardous manifestations are found in suchareas as particle research, where RF powers in the multiple megawatt range are generated.Hazards of RF energyHeightened awareness of the expanding use of RF technology has led some people to speculatethat "electromagnetic pollution" is causing significant risks to human health from environmentalRF electromagnetic (EM) fields. Potential health effects of electromagnetic fields have been ofscientific interest since the 1800s and have received particular attention in the past 40 years.People have raised concerns about power lines, common household electrical wiring appliances,motor driven instruments
AC 2007-1806: INTRODUCING MICRO/NANOTECHNOLOGY EDUCATIONWITHIN THE INDUSTRIAL AND SYSTEMS ENGINEERING CURRICULUMSalil Desai, North Carolina A&T State University Salil Desai is an Assistant Professor of Industrial & Systems Engineering at North Carolina A&T State University. His expertise is in the area of micro/nano fabrication, multiphysics modeling, and nano-structured material characterization. He teaches integrated product and process design, advanced production control, robotics and nanomanufacturing. His other research interests include Product Design, Manufacturing Systems, Time Compression Technologies and Statistical Optimization.Devdas Pai, North Carolina A&T
merely an enabling technology and needs to beunderstood clearly to get the maximum benefit. This paper aims at clearly defining thepotential of RFID by clearing the myths and by laying out a procedure for entrepreneursto implement their RFID systems.Before we go deeper into the implementation, it is first important to understand whatRFID is? The next section gives a brief description of the technology itself.RFIDRFID technology is based on the simple idea that an electronic circuit or tag, selfpowered (using a battery) or powered intermittently through radiation from a distance,can transmit information in air that can be read by a reader located at a distance. Thesetags are nothing but plain antennae bonded to a silicon chip kept inside a
engineering, and bio materials.Dr. Richard Chiou, Drexel University Page 25.458.1 c American Society for Engineering Education, 2012 Development of a Web-Based Rapid Prototyping and Product Design CourseAbstractThis paper presents development of an integrated web-based rapid prototyping and productdesign course in the online Master of Science degree in engineering technology core discipline.The topics are aligned with a current trend for rapid product realization and information-integrated product design systems in industry, which currently includes rapid
and instructors to use the technology properly. With the experience ofmanaging two different RP machines (i.e. fused deposition modeling and 3D printing), theauthors have documented a collection of failures of student projects involving RP. The causes offailure have been categorized into Dimensional, Functional, Operational, and Economical.Finally, a guideline is provided for preparation of using RP in design or manufacturing courses inhopes of helping the readers create a more enjoyable and effective learning environment.IntroductionIn recent years, an increasing number of engineering educators have adopted Rapid Prototyping(RP) as a tool to enhance engineering curricula. Commonly known as 3D Printers, RP machinesare capable of making three
school math and engineering classroom where Mr. Rosen was working on the integration of engineering and robotics into the teaching of the core curricula classrooms. He has now been at Georgia Tech’s CEISMC for the pasJasmine Choi, Georgia Institute of TechnologyRoxanne Moore, Georgia Institute of Technology Roxanne Moore is currently a Research Engineer at Georgia Tech with appointments in the school of Mechanical Engineering and the Center for Education Integrating Mathematics, Science, and Computing (CEISMC). She is involved with engineering education inno ©American Society for Engineering Education, 2023 Work-in-Progress: Scaling STEM-ID—Research Strategies to Inform Initial Scaling
emerging careers in five areas of transportation:highway, rail, transit, air and maritime. The needs and opportunities for well-trained transportation engineers,technologist, specialists and managers are examined. The paper investigates the new career oppcntunities that will emerge for transportation technologists by the year2005 and that these new career opportunities will require higher levels of education and offer significant newchallenges for college graduates. Convergence in technology and information changes in the businessenvironment and markets, new government regulations and spending levels are explored as they affecttransportation industry careers.The paper explores the significant career opportunities that will appear, in which a broad
drawn from three distinct student bodies on campus: engineering,business and general humanities programs. Students for the experimental cohort (technology-focused programs) were recruited from Engineering, and Information Technology (IT)Management programs. Students for the control cohort (humanities) were recruited from BAprograms in Faculty of Arts at Ryerson, such as Criminal Justice and Arts and ContemporaryStudies. The study will track the students from entry into their first year in Fall 2006 to theirgraduation in Spring 2010. Four different questionnaires will be administered to the participants Page 12.1172.6at different points of