, Guindy, India.Dr. Tsu-Chiang Lei P.E., Department of Urban Planning and Spatial Information, Feng Chia University Tsu-Chiang Lei received the B.A. degrees from the department of Hydrology Engineering Department at Feng Chia University and the M.A. and Ph.D. degrees from the Department of Bioenvironmental System Engineering (Before name: Agricultural Engineering), National Taiwan University. Respectively, major- ing subsets in regionalization variable theory (Kriging) for environmental and remote sensing technique for land use change detection problem. He served first as a postdoctoral fellow and then as a Research Assistant Professor in GIS Research Center, Feng Chia University, in 2001 to 2003. After that, he has
Paper ID #12801Work-in-Progress: Student Dashboard for a Multi-agent Approach for Aca-demic AdvisingDr. Virgilio Ernesto Gonzalez, University of Texas, El Paso VIRGILIO GONZALEZ, Associate Chair and Clinical Associate Professor of Electrical and Computer Engineering at The University of Texas at El Paso, started his first appointment at UTEP in 2001. He received the UT System Board of Regents Outstanding Teaching Award in 2012. From 1996 to 2001 he was the Technology Planning manager for AT&T-Alestra in Mexico; and before he was the Telecom- munications Director for ITESM in Mexico. His research areas are in
teamwork, believes in education as a process for achieving life-long learning rather than as a purely aca- demic pursuit. He currently works on maintaining, upgrading and designing the classroom of the future. Mr. Perez is inspired because he enjoys working with people and technology in the same environment.Dr. Virgilio Ernesto Gonzalez, University of Texas - El Paso Virgilio Gonzalez, Associate Chair and Clinical Associate Professor of Electrical and Computer Engi- neering at The University of Texas at El Paso, started his first appointment at UTEP in 2001. He received the UT System Board of Regents Outstanding Teaching Award in 2012. From 1996 to 2001 he was the Technology Planning manager for AT&T-Alestra in Mexico
bring CT into classrooms. This study sought to identify CT awareness in different educational roles to suggest a plan to promote CT in Kuwait education institutes. The promoted plan employs the CT Systemic Change Model, developed by ISTE. We utilize the model with the outcome of our CT awareness surveys to recommend a plan that fits the regulations and roles in Kuwait education. The survey derived from the technological pedagogical content knowledge framework; It investigated CT awareness of content knowledge (knowledge of CT concepts), pedagogical knowledge (knowledge of CT purposes, values, and aims), and technological knowledge (knowledge of the technologies and resources that support CT
teaching strategies of engineering project course. Students participated inlearning activities following the instructor's planning and guidance and their learningbehaviors to use a learning system were recorded in the database. Those attributes, such asfrequency, sequence, and association of learning behavior were identified through astructured arrangement and statistical analysis. In addition, those key learning activities thatinspire the students' creativity along with the creativity assessment results were discovered.According to our findings, high creativity students proceeded with active exploration duringlearning more frequently compared to low creativity students. The data analysis also showedmore instances of independent thinking created
behaviors on a mobile robot, • describing the difference between artificial intelligence and engineering approaches to robotics, • functioning on a multidisciplinary team to complete mobile robotics projects on a hardware platform, • comparing and contrasting the various robot paradigms including hierarchical, reactive, deliberative, hybrid, and behavior-based, • analyzing and implementing metric and topological path planning on a mobile robot, • analyzing and implementing subsumption architecture and potential field summation to implement obstacle avoidance on a mobile robot, • describing the methods for localization and implementing the Kalman filter algorithm on a mobile robot, and
Figure 2. Application ProcessBased on the final selection of the students, the CS department team at the university (UTRGV)along with the team from Upward Bound program identified the technical and non-technical skillsthat were then targeted in the summer camp. Table 1. Summer Enrollment Total 31 Forensics& Cybersecurity Track 16 Mobile Applications Track 15Gender GapAs we were planning for the summer camp, one goal of the team, which consisted of two femalesand two males, was to make sure that the selected applicants are more diverse in terms of thegender, since the schools are already
in leadership positions for numerous professional organizations. Page 26.1585.1 c American Society for Engineering Education, 2015 Time Management Skills and Student Performance in Online CoursesAs educators, we have the almost daily task of turning students’ goals into the reality ofcompleted degrees. In part, we accomplish this by requiring students to spend time with coursecontent. Students, in turn, must plan and use their time effectively in order to accomplish coursegoals and objectives. Online courses present special challenges for student engagement andeffective time management
c Society for Engineering Education, 2021Online COVERAGE (Competition Of VEX Educational Robotics to Advance Girls Education) (Research-to-Practice, Strand: Other)IntroductionThe major objective of the COVERAGE (Competition Of VEX Educational Robotics toAdvance Girls Education) project is to increase female West Virginia middle school students’interest in Computer Science and STEM. As the original plan of the COVERAGE project, GirlsRobotics Clubs would be organized in three counties of West Virginia, including Kanawha,Fayette, and Lincoln Counties, to prepare female middle school students for a regional roboticscompetition at the end of 2020. The Covid-19 pandemic started soon
in the development of online programs for academic credit and workforce development. Prior to coming to Texas A&M, Randy worked at Stephen F. Austin State University for twenty-five years in a variety of roles including technology specialist for the Center for Professional Development and Technology, tenured faculty member in the College of Education, director of instructional technology and distance education, director of the university’s Quality Enhancement Plan, and director of the Center for Teaching and Learning. Randy holds a B.B.A. in Information Systems and Quantitative Studies from Abilene Christian University, an M.Ed. in Secondary Education from Stephen F. Austin State University, an M.S. in
. His teaching involvement and research interest are in the area of Software Engineering education, Software Verification & Validation, Data Mining, Neural Networks, and Enterprise Resource Planning. He also has interest in Learning Objectives based Education Material Design and Development. Acharya is a co-author of ”Discrete Mathematics Applications for Information Systems Professionals- 2nd Ed., Prentice Hall”. He is a member of Nepal Engineering Association and is also a member of ASEE, and ACM. Acharya was the Principal Investigator of the 2007 HP grant for Higher Education at RMU. In 2013 Acharya received a National Science Foundation (NSF) Grant for developing course materials through an industry-academia
-60 minutes of continuous use. For this reason, we planned to limit the timeparticipants were wearing the cap to 45 minutes. Flexible wires connect the cap to the fNIRSmachine which limits large movements, but does not restrict typical movements associated withprogramming, i.e. hand movement, leaning back while remaining to sit, etc.As part of the setup process, a researcher started screen-capture recording hardware. Because wedid not want to require that participants install special software we needed an external means torecord screen capture data. For the first two participants we used a camcorder pointed at theparticipant’s computer screen. The resulting video was only moderately useful as the camcorderdid not consistently focus on the
makesthe code generated by the visual programming environment easy and intuitive to understand.Figure 2 shows a sample robot motion plan to control the two wheeled robot. Figure 3 shows theblock program for the motion plan of Figure 2 and the equivalent code generated by the visualprogramming environment. The “Go forward” block makes the robot advance forward by oneblock, wherein each side of a block on the robot arena is one foot. Similarly the “Go backward”block makes the robot go back by one block. Using the differential drive, the “Turn right” blockmakes the robot rotate right by 90 degrees and the “Turn left” block makes the robot rotate leftby 90 degrees. Figure 2: Mobile Robot Motion Plan
object-orientedprogramming practices. The students enrolled in these courses are primarily computerengineering and computer science majors.The second set of participants are the project clients. Over the four years covered by this study,four different sets of clients were used. In 2014, the clients were engineering education studentsdeveloping materials in support of educational outreach activities. The software applicationswere designed to augment lesson plans developed as part of a series of teacher workshops thatthe students helped to deliver in the Dominican Republic. Due to the departure of the instructorleading the then-annual trips, in 2015 the focus shifted to having ASEE student chapter membersserve as clients in support of their
comment classifications and student performance in the studiedintroductory course and plan to track student success through subsequent programming coursesas well. As we begin to look at student performance, we are utilizing McGill and Volet’sconceptual framework for analyzing student programs and diagnosing deficiencies [20]. Thisframework links three types of programming knowledge (syntactic, conceptual, and strategic)with the view of knowledge from cognitive psychology (declarative, procedural, andconditional). We believe using this framework to link our qualitative codebook withprogramming knowledge will allow us to further evaluate students’ thinking processes and thechanges in programming knowledge over time. Furthermore, in addition to
activate the student camera as they are taking the exam. Remember, these tablets arenot student own and are strictly used only for the exam. Thus, there are no privacy expectationsand the camera can be used to monitor the student during the exam to confirm the student istaking the exam. Future plans include using visual identification for distant or remote students.The instructor page also reports the percentage correct for each problem. This has proven helpfulin identifying potential issues with a particular problem. If the percentage correct is low, then theproblem can be quickly reviewed to make sure the problem is correct and there is not typo
only some students. One step toward achieving this objectiveis the development of a prototype course available to undergraduates enrolled in educationprograms. During the first phase of our current project, the research team developed thisprototype course, called the CALC course herein. This course is based on our initial ideas of howcollective argumentation can be used to teach students how to code. This course was offered topracticing teachers during the 2018 spring semester, and the aim was to determine how theseteachers would use collective argumentation to learn how to code and what lesson plans theywould develop to teach their students how to code. This paper discusses the initial phase of thecourse and the knowledge, either existing or
Director of the Center for 3-D Visualization and Virtual Reality Applications, and Technical Director of the NASA funded MIST Space Vehicle Mission Planning Laboratory at the University of Maryland Eastern Shore. In 2010, he joined Eastern Michigan University as an Associate Dean in the College of Technology and currently is a Professor in the School of Engineer- ing Technology. He has an extensive experience in curriculum and laboratory design and development. Dr. Eydgahi has served as a member of the Board of Directors for Tau Alpha Pi, as a member of Advi- sory and Editorial boards for many International Journals in Engineering and Technology, as a member of review panel for NASA and Department of Education, as a
-12 schools. The successful model andexperience collected from this project would be promoted to other counties of West Virginia andother states.Through the STEM ambassadress program, the following three outcomes are anticipated.Outcome 1: Female high school students’ performance in their math and science courses isimproved.Outcome 2: Female high school students’ interest in STEM disciplines is increased.Outcome 3: High school students’ parents become more knowledgeable about STEM.Implementation planImplementation plan of the proposed ambassadress program includes the following three tasks.Task 1: Train female undergraduate students to become the ambassadresses.In the summer of 2018, a training workshop was organized at West Virginia
Society for Engineering Education, 2015 Paper ID #11826 as program and planning committees’ member and reviewer and chairman of several ones. He was co- chair of the conference EDUCON 2010 (Engineering Education Conference), TAEE 2010 (Tecnolog´ıas Aplicadas a la Ense˜nanza de la Electr´onica) and ICECE 2005 (International Conference on Engineering and Computer Education). Is co-chair of the conference FIE 2014 (Frontiers in Education Conference) to be organized in Madrid, Spain, by the IEEE and the ASEE. He is co-editor of IEEE-RITA (Revista Iberoamericana de Tecnolog´ıas del Aprendizaje) and of the Electronic Journal of
switches or LEDs dependingon the game. The focus of the game project is primarily real-time and modular programming.Similar to the IR project, students can complete the game project with programmingfundamentals learned from the course. In both projects, students often learn new ways to usethese concepts in order to develop an effective program.Both projects require students to further develop skills such as teamwork, time management, andproject planning. As students work in teams of two, they learn how to divide programmingbetween the team members, and to do so within time constraints. As part of the requireddocumentation, teams create algorithms and flow charts to plan the code for their project.Theoretical Framework and Survey DescriptionThe
research is to improve online IDEs of this sort by adding means ofdetecting student difficulties, improving compile and runtime error reporting, and identifyingsuccessful patterns of code development.Prior WorkThe behavior of student programmers has been the subject of substantial research. An earlyinstance of such work7 compared successive program submissions in a batch-processingenvironment, finding that most changes affected only one or two lines of the source. A laterstudy9 observed and tracked high-level behaviors of high school students in a Pascalprogramming class, and noted that the students spent most of their time editing and running theirprogram rather than planning or reformulating code.Most recent work extracts detailed data directly
educational evaluation, including K-12 educational curricula, K-12 STEM programs after-school programs, and comprehensive school reform initiatives. Across these evaluations, she has used a variety of evaluation methods, ranging from a multi-level evalua- tion plan designed to assess program impact to methods such as program monitoring designed to facilitate program improvement. She received her Ph.D. in Research, Measurement and Statistics from the Depart- ment of Education Policy at Georgia State University (GSU).Sabrina Grossman, Georgia Institute of Technology Sabrina Grossman, Program Director in Science Education at Georgia Tech’s Center for Education In- tegrating Science, Mathematics, and Computing (CEISMC), who
,particularly one who said they “typed T6 to change the tool but nothing happened”. While the command“T6” is recognized by the machine, an improper input placed before could have caused the machine tocease operation. This information is useful in a pilot study, as it allows such bugs to be found prior tomore widespread studies.Conclusions & Future WorksFuture plans for this project see it proceeding in two directions: first, further development on theenvironment itself will be completed; and second, additional technologies will be tested with theimproved environment.Some development changes to the environment have been discussed in prior sections of this paper—forexample, the issue of the machine no longer receiving input after an incorrect input
areplacement for professors and peers when they needed help. Nearly all students (96%) providedfavorable ratings about the trustworthiness of the video library and most students trusted the MEOnline videos more than other videos available online. They were particularly happy whenfinding videos by their favorite instructors who were clear, engaging, and knowledgeable. Moststudents plan on using ME Online as alumni for both professional and personal reasons – 88% ofthe students reported they expect to use ME Online to study for licensing exams, graduate schoolwork, professional work, and/or just to learn new things.The study also explores the potential for video libraries like ME Online to help addressachievement gaps among historically disadvantaged
difficultto navigate through the app and complained about designs and other minor issues. Ultimately, theproject was temporarily halted and a new application is currently being designed and developedwith the same objectives. It will only have a different framework and personnel on theproject.The new path for the project includes switching to React Native for cross-platform mobiledevelopment and a goal to create a functional product for evaluation for final exam review.Thischange also follows best practices in app development as described by Wardynski1 and wouldserve all students with a mobile phone 1 . Future plans would include creating a Professorfunctionality that helps the professor see the efforts made by the students and assign grades basedon
with better features.”“I have learned a great deal of things from the contest: technical, mathematical, and theexperience of the contest itself, the presentation of our work in front of such an exclusiveaudience”.“I learned a lot about complex system’s planning and verification”.Several students’ comments refer to the job offers or scholarships that they received afterparticipating in this competition and meeting industry representatives:“It helped me get a job in the embedded design”.“For me, the 4th edition of the Diligent Design Contest was a career-changer... literally... At theend of my 3rd year at TUCN, I was looking for a job... and I found it thanks to the DesignContest”.“The fact that I won a prestigious European contest contributed
requirementsand design development and the required skills for planning, analysis, and design of softwaresystem. Similarly, Requirements Engineering course focuses especially on requirementdevelopment tasks and technique along with requirement inspection technique. Both the coursesrequired the students to learn about software inspections and their impact on the software qualityimprovement. Students in both the courses had an average of two years of software developmentexperience in past (i.e. classroom projects, assignments, and industry).Artifact: Two externally developed industrial strength requirement documents (Table I), LoanArranger System (LAS) and Parking Garage Control System (PGCS), were inspected by eachparticipant during two inspection cycles
technology project had a high impact in the areas oftime management, engineering career awareness and planning, research methods and techniques,critical thinking concepts, and unit systems and conversions. From previous research we haveconfirmed the fact that engineering students with the demographics of The University of Texas atEl Paso prefer a class that uses technology.Finally, from the attitudinal survey, as a whole, the majority of the students were actively engagedin the different activities required to do the 3D technology project. Comments like the followingwere written on the open-ended questions of the survey: • Question 48. What new technical and engineering concepts did you learn from this project? o “I learned how to use
creation of a wide variety of objects.Learning Environments Department has embarked on a project to incorporate the Maker Campstrategy into a more formal process that includes creating sessions using learning blockswhich utilize a Project Based Learning (PBL) model at their core. This type ofstrategy could support the hands-on components of a Maker Camp combined with theinstructional strategies of Active and Project Based Learning in a simplified planning tool. Thedesign could then become a template moving forward. Our research explores what impact usingsuch a strategy had on our Tech-E Camp hosted at The University of Texas at El Paso –Undergraduate Learning Center as well as the impact of the technology challenges as theypertained to the