students who mostly agreedto all questions. Among the rest, 5 students disagreed and remaining 3 gave mostly neutralresponse. Figure 4: Heat map of feedback for the activity outcomeConclusionsSpatial visualization and reasoning skills are of great significance for the success in engineeringand other technical fields. Engineering students differ in their development of spatial skills, andthis difference may affect their performance on certain tasks. To help students in enhancing theirspatial skills, we employed augmented reality technology in the classroom to present the 3Dmodel of the complex 2D figures from the textbook. We performed a small study in one of thecourses offered at Texas A&M University at Qatar. We conducted
- 10 issues g) more than10 issues4) How many minor or other simple issues did your reviewer find in your artifact? a) None b) 1 - 2 issues c) 3 - 4 issues d) 5 - 6 issues e) 7 - 8 issues f) 9 - 10 issues g) more than10 issues5) The review session with an industrial reviewer found defects which were not found by my senior design advisor. a) yes b) no6) I found the review session by an industrial reviewer to be extremely useful. a) strongly agree b) agree c) neutral d) disagree e) strongly disagree7) I would highly recommend that future teams be able to have an industrial reviewer review their artifact as part of the senior design process. a) Strongly agree b) Agree
Society for Engineering Education, 2008.3. Brown C., Johnson M., Lax J., “Educational Classroom Technology: What Works Best in the Engineering Context”, 2007, 37th ASEE/IEEE Frontiers in Education Conference, Session S4J.4. Grady, H., and Codone, S., " From chalkboard to PowerPoint to the web: A continuum of technology," 2004 International Professional Communication Conference, pp. 217-222.5. Colegrove, Patrick. "Making It Real: 3D Printing as a Library Service." Why IT Matters to Higher Education: EDUCASE Review. EDUCASE, 27 Oct. 2014. Web. 18 Mar. 2016. .6. Johnson, L., Adams Becker, S., Cummins, M., Estrada, V., Freeman, A., and Ludgate, H. (2013). NMC Horizon Report: 2013 Higher
anintegrated, multi-pronged strategy to engage students and convey positive information toencourage them towards the belief in a growth mindset–intelligence and ability can be improvedby practice and hard work.The remaining of this paper is structured as follows. Section 2 discusses related work to improvefeedback in Web-CAT and applications of gamification in education area. Section 3 is to show thedesign of RPG elements and how to integrate them into the feedback in Web-CAT. Section 4 isevaluation part to demonstrate the simulation of our designed RPG elements with a historicalprogramming data set. Section 5 is conclusions and future work.2 Background and Related Work2.1 Previous Effort to Improve FeedbackIn order to improve feedback
National Laboratory. He also worked on projects and consulted for a number of private companies, including Lockheed Martin, Harris, and Boeing. Zalewski served as a chairman of the International Federation for Information Processing Working Group 5.4 on Industrial Software Quality, and of an International Federation of Automatic Control Technical Committee on Safety of Computer Control Systems. His major research interests include safety related, real-time embedded and cyberphysical computer systems, and computing education.Mr. Gerardo Javier Pinzon P.E., Texas A&M International University Page 26.1760.1
specific experience at Texas Instruments, Intel, and Cincinnati Children’s Hospital Medical Center. In addition to his industry experience, Mike spent two years, while completing his Ph.D., as a National Science Foundation GK-12 fellow – teaching and bringing real- world STEM applications in two urban high schools. Since then, he has worked with university faculty to promote and extend K20 STEM outreach in Ohio, Oregon, Texas, and Wyoming. He has authored peer-reviewed articles and papers, presented at national and international conferences, and taught under- graduate/graduate courses in Computer Security, Data Mining, VLSI and pedagogy in STEM. c American Society for Engineering Education
reach statisticalsignificance, and curiously they show the opposite of what appears to be the objective truth; thecohort that used the continuous applications believed they understood less than the students thatused the discrete applications (Figure 3). This may reflect the Dunner-Kruger paradox thatexplains the cognitive bias which occurs when low-ability people lack the framework to assesstheir abilities accurately, and high-ability people overestimate the abilities of others [12],[13].Figure 3: Comparison of the students’ self-assessment of their subject mastery before theycompleted the objectively-scored portion. It is noticeably below the objective scores, andsurprisingly show a generally opposite trend from their actual understanding in
technical conference. Serendipity had struck, and the IEEE DSP OnlineConference was available for only $20 per person for early registration [7]. No student discountswere offered. This was a single track, 2-day event, 12 hours per day, and was extremely welldone. Presentations were very helpful and/or tutorial for most students. About 500 attendeesregistered, as compared to thousands for a premier IEEE Signal Processing Society (SPS) eventsuch as the International Conference on Acoustics, Speech, and Signal Processing (ICASSP).fred harris (yes, he does not believe in capitalization of his name), the author of a well-knownmultirate signal processing textbook [8, 9], was presenting two sessions at this conference.Reference [9] was published after
MATLAB and the TMS320C31 DSK,” in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 6, pp. 3573–3576, Mar. 1999.[3] J. W. Pierre, R. F. Kubichek, and J. C. Hamann, “Reinforcing the understanding of signal processing concepts using audio exercises,” in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 6, pp. 3577–3580, Mar. 1999.[4] C. H. G. Wright and T. B. Welch, “Teaching real-world DSP using MATLAB,” ASEE Comput. Educ. J., pp. 1–5, January–March 1999.[5] W.-S. Gan, Y.-K. Chong, W. Gong, and W.-T. Tan, “Rapid prototyping system for teaching real-time digital signal processing,” IEEE Trans. Educ., vol. 43, no. 1, pp. 19–24
abstracts. This resulted in 176publications, segmented into 2006-2010 (n=39), 2011-2015 (n=64), and 2016-2020 (n=73). TheComputers in Education Division and NSF Grantees Poster Session included the highest numberof papers (Table 1). To access the research data supporting this publication, seehttps://doi.org/10.25380/iastate.14428304. Table 1: Top 10 ASEE divisions with gaming focused papers from 2006-2020. Division Number of Papers Computers in Education 31 NSF Grantees Poster Session 20 Educational Research and Methods 12 K-12 and Pre-College Engineering 10
Alkabbany, Amal Farag, Ian Bennett, and Aly Farag. Facial action units detection under pose variations using deep regions learning. In 2017 Seventh International Conference on Affective Computing and Intelligent Interaction (ACII), pages 395–400. IEEE, 2017.[25] E Friesen and Paul Ekman. Facial action coding system: a technique for the measure- ment of facial movement. Palo Alto, 3, 1978.[26] Islam Alkabbany, Asem Ali, Amal Farag, Ian Bennett, Mohamad Ghanoum, and Aly Farag. Measuring student engagement level using facial information. In 2019 IEEE International Conference on Image Processing (ICIP), pages 3337–3341. IEEE, 2019.[27] Yibing Li and Richard M Lerner. Interrelations of behavioral, emotional, and cogni- tive
, “Engineering Education Research in Practice:Evolving Use of Open Ended Group Projects as a Pedagogical Strategy for Developing Skills inGlobal Collaboration,” International Journal of Engineering Education, vol. 26, No. 4, pp. 1-12,2010.[4] S.E. Scherling, “Designing and Fostering Effective Online Group Projects,” Adult Learning, vol.22, issue 2, pp. 13-18, March 2011.[5] L. Johns-Boast, G. Patch, “A Win-Win Situation: Benefits of Industry-Based Group Projects,” inProceedings of the 2010 AaeE Conference, Sydney, Australia, January 2010, pp. 355-360.[6] Accreditation Board for Engineering and Technology, Criteria for Accrediting EngineeringPrograms, 2017-2018, General Criterion 3: Student Outcomes. Available:https://www.abet.org/accreditation
includes wireless power transmission, radar systems, microwave remote sensing, antenna design, and computational electromagnetics. He was the recipient of the first prize award in the student paper compe- tition of the IEEE International Antennas and Propagation Symposium, Boston, MA in 2001. He served as the chair of Antennas and Propagation Society of IEEE Fort Worth Chapter from 2006 to 2011. He is currently serving as the treasurer of IEEE West Virginia Section.Mrs. Tommi Brooke Kenneda, West Virginia University Institute of Technology Tommi Kenneda is a student at West Virginia University Institute of Technology, pursuing her bachelors in computer science. She is expected to graduate May 2022. She is a research
were also employed. Each classroomsession was observed and recorded to analyze classroom interactions. Before the experiment, students completed a questionnaire about CT and a pre-testover course knowledge to reduce internal validity threats of students remembering pre-testquestions. The first two sessions covered the history of the internet and how the internetworks. The last two sessions were a combination of theoretical instruction, such as HTML,web servers, web 2.0 technologies, and hands-on activities, such as students learning how toconnect and communicate with the Linux server to build basic websites. During the last weekof this research, students were asked to develop a website using what they learned aboutbasic HTML
points in database design. Database design knowledgeis technical as well as practical. Many skills are required including problem-solving, critical think-ing, creativity, communication, team working, and time management. Traditionally, expositionallectures or closed and hands-on laboratories are used to teach database design. Exams are usuallyused to evaluate knowledge and skills required in the database design process. In the rest of thisarticle, we refer to such methods as traditional methods. Unfortunately, despite their wide use,traditional methods are found to be ineffective for teaching and learning the abstract and complexdomain of database design [2, 3]. While existing teaching methods for design learning providesome clues, there is no
-reviewed journal and conference publications in grid and cloud computing. In the past, he designed and implemented a cloud-based public health informatics infrastructure. He is a founding member of the School of Engineering at Istanbul Bilgi University, and was the chair of its Computer Engineering Department. He also designed an adaptive resource-matching framework for large-scale, autonomous grid computing environments, using epidemic dissemination protocols. He is the founding director of Engineers Without Borders International, Turkey branch. At the industry, Dr. Erdil has worked in management and software engineering roles for more than a decade at various organizations, including Fidelity National Information
Education, 2013 Work In Progress: Quick-Return Mechanism RevisitedAbstractIn this paper, the teaching and learning experiences of the author with two summer interns at oneof the educational institutions in India is presented. These are the senior mechanical engineeringstudents from two different engineering colleges in India who spent nearly two months at theinstitute where the author spent a 3-month sabbatical as a visiting faculty. Although these twostudents took the “Theory of Machines” course at their college, a complete understanding ofkinematic and dynamic analyses of mechanisms such as a quick-return linkage seemed to be notrealized well by them. In addition to the students from India, there are other mechanicalengineering
methods.References:[1] G. Caglayan, “Teaching ideas and activities for classroom: integrating technology intothe pedagogy of integral calculus and the approximation of definite integrals”,International Journal of Mathematical Education in Science and Technology vol. 47, no.8, pp.1261-1279, 2016[2] J. Lopez-Quintero, M. Varo-Martinez, A. Laguna-Luna, A. Pontes-Pedrajas, “Opinionson “Classroom Response System” by first-year engineering students”, Procedia – Socialand Behavioral Sciences, vol. 228, pp.183-189, 2016[3] G. Kortemeyer, “The Psychometric Properties of Classroom Response System Data:A Case Study”, Journal of Science Education & Technology, vol. 25, no. 4, pp.561-574,2016[4] R. Bartsch and W. Murphy, “Examining the Effects of an Electronic
unique to Duke?," Duke Chronicle, 24 October 2017. [Online]. Available: https://www.dukechronicle.com/article/2017/10/with-large-classes-and-waitlists-compsci- feels-growing-pains-but-are-those-pains-unique-to-duke. [Accessed 1 January 2020].[5] G. V. Glass and M. L. Smith, "Meta-analysis of research on class size and achievement," Educational evaluation and policy analysis, vol. 1, no. 1, pp. 2-16, 1979.[6] L. E. Winslow, "Programming pedagogy - a psychological overview," SIGCSE Bull., p. 17–22, 1996.[7] N. Bosch, S. D’Mello and C. Mills, "What emotions do novices experience during their first computer programming learning session?," in International Conference on Artificial Intelligence in Education, 2013.[8] E. J. Kim and K
, 2019).[2] Kathiresan, S. and Echempati, R., Structural Analysis and Design Modification of Seat Rail Structures in Various Operating Conditions, SAE Technical Paper 2020-01-1101, 2020, https://doi.org/10.4271/2020-01-1101.[3] Patil, N.R., Kulkarni, R.R., Mane, B.R. and Malve, S.H., Static analysis of Go-Kart Chassis frame by Analytical and SolidWorks Simulation, International Journal of Scientific Engineering and Technology, 3(5), pp. 661-663, 2014.[4] Chen, Y.D., Bao, Z.Q., Ren, H.J. and Wang, Y.X., Finite Element Analysis for Product Design Based on SolidWorks Simulation, Computer technology and development, 2012-09.[5] Li, Q.S., Guo, L.J., Wang, W.B., Fan, J.Z. and Su, R.R., Fatigue analysis of head board of
section. Instead of solely focusing on office hours,previous work has examined supplemental instruction (SI). SI can consist of peer tutoring,instructor office hours, review sessions, study groups, or any combination of these. One studyfound that “students who use SI have been shown to earn higher term and cumulative grade pointaverages (GPA’s) as well as more timely graduation rates than their peers who do not utilize SI”.[3]Unlike prior studies, the office hour data collected for this paper was automatically generatedevery time a student posted a question on the Queue, and this data was then combined with gradedata from an anonymized gradebook. On the other hand, previous studies used surveys to collectdata. This usually meant that they only
. Imbalances between the measurements indicate a potential heating elementfailure or a faulty temperature sensor. These faults are reported on the liquid crystal display(LCD). The control circuit also controls the two 50W AC heater elements through solid staterelays. Overall system control is maintained by an Atmel ATmega164. This processor is an 8-bit microcontroller equipped with 16k bytes of flash programmable memory. Figure 3. Concrete Curing Box (CCB) interface diagram.CCB LCD user interface. A close up view of the LCD user interface is provided in Figure 4.The CCB user interface displays the current CCB internal temperature, desired temperature, faultstatus and the amount of time the CCB has been in operation
and engineering (CSE) students (4 under-graduate, 1 master, and 2 PhD students), 2 applied and computational mathematics and statistics (ACMS) students(1 undergraduate student and 1 PhD student), 3 non-degree students (1 visiting student, 1 exchange student, and 1University employee), and 1 aerospace and mechanical engineering (AME) PhD student. They all knew what graphswere before taking the course, and have learned about graph visualization within the class. Five of the students in thePhD group conduct research related to graphs and networks, while the other five do not. To facilitate the process, wedesigned a study guide to help the students explore GraphVisual. After an introduction session for the in-class groupstudents, they received
grounding in the learning sciences andextensive success and research base in K-12 education, this on-line approach to extendingdiscourse beyond the classroom remains largely unexplored in undergraduate engineeringeducation.Knowledge Building TheoryThe solutions to many of the most important problems facing future engineers will require theproduction of new knowledge—i.e. new conceptual artifacts (such as theories) that arise fromhuman thought. Examples include developing new sources of energy and reverse-engineeringthe brain. Future engineers will need to be able to combine their technical expertise with anability to collaborate and produce innovative solutions to complex problems. Introducinglearners to these types of knowledge age problems is a
Paper ID #30526REVERSE SOFTWARE ENGINEERING: A SOPHOMORE-LEVEL PROJECTIN COMPUTERSYSTEMSMs. Cynthia C. Fry, Baylor University CYNTHIA C. FRY is currently a Senior Lecturer of Computer Science at Baylor University. She worked at NASA’s Marshall Space Flight Center as a Senior Project Engineer, a Crew Training Manager, and the Science Operations Director for STS-46. She was an Engineering Duty Officer in the U.S. Navy (IRR), and worked with the Naval Maritime Intelligence Center as a Scientific/Technical Intelligence Analyst. She was the owner and chief systems engineer for Systems Engineering Services (SES), a computer
currently a professor. His current research inter- est includes wireless power transmission, radar systems, microwave remote sensing, antenna design, and computational electromagnetics. He was the recipient of the first prize award in the student paper compe- tition of the IEEE International Antennas and Propagation Symposium, Boston, MA in 2001. He served as the chair of Antennas and Propagation Society of IEEE Fort Worth Chapter from 2006 to 2011. He is currently serving as the treasurer of IEEE West Virginia Section.Chase Broyles, West Virginia University Institute of Technology Chase Broyles is from Princeton,WV and is currently a Computer Science student at West Virginia Uni- versity Institute of Technology
offered the MMC program every summersince 2016, while Kuwait offered the program one time in 2019. Each country was a group(i.e., USA and KW), and the tasks were identical for both groups. The research was carriedout over four 3-hour sessions for three weeks, excluding daily break time. On the first day,before any material was taught, students completed a survey about CT, and students playedKahoot after each session to test their knowledge about the material. Students retook the CTsurvey on the last day of the program. The workshops were identical to MMC lessons, withonly minor changes and translations for the KW group. Parents were asked to share theirchildren’s impressions and feedback about the lessons. Additional information is included inthe
, NO COST IMPLEMENTATION OF LABS USING AWS EDUCATE 4availability of technical resources and did an analysis of discussion board threads (questionsposed by students) who were utilizing virtualized equipment in a fundamental network securitycourse. Students who earned a C or better were satisfied with the lab design and setup. Li, Jones,and Augustus (2011) evaluated different virtualization environments for labs and determined thata “centralized approach is especially useful in online labs which require high-end resources,support a large number of users, and provide rapidly changing contents. It helps create a digitallearning environment for students to study from any place and at any time” (p.12
digital copy of the text as well as Reading and graded practice Problem assignments. b. Instructor-Created Modules, consisting of Introduction videos with learning objectives, Lessons in both PowerPoint™ and video form, and Example problem videos. 2. Classroom Activities a. Lessons, consisting of PowerPoint™ presentations with live annotation b. In-Class Problem Solving with polling, consisting of examples solved by students and/or the instructor with audience response 3. Support Resources a. Problem Solving Help, consisting of tutoring by skilled undergraduate Learning Assistants in a computer lab setting b. Live Chat, consisting of real time
meet their particular preferences.3. Software EvaluationThe ultimate goal of the textbook is to promote conceptual understanding across a variety oftopics in engineering statics. To evaluate this, the researchers are using data collection sessionsin which engineering statics students use the Adaptive Map tool to study a prescribed topic areaand then explain that topic area to the researchers. Transcripts of these sessions are beinganalyzed to get a measure of conceptual understanding. During these sessions, students are alsoself-reporting levels of cognitive load experiences while preparing for the explanations. Testingof this type is ongoing, but a way to more quickly identify design flaws for correction wasdesired.In order for the Adaptive