fundamental to its creation, the teaching anddelivery of the course will determine the ultimate success. This is one of the first engineeringcourses that students take during their college careers, so it is important to engage the students inlearning about their discipline. However this engagement must be done in a way that permitsmultiple instructors and multiple sections to be taught to offer uniformity in computingexperiences. One way to engage the student is using in-class assignments and exercises. We refer Page 13.772.3to these as “in-class labs” to convey the laboratory nature of these exercises.Essentially, the course (TE/ISE 110) revolves
paper8.4.0 Tablet Application in a CEE junior level courseIn order to expose other faculty members to the potential of Tablet based teaching, the leadauthor got in touch with his colleague in the CEE department (i.e., 4th author) and decided to dotwo special Tablet based sessions in a junior level CEE course, “Water Resources EngineeringCEE3314” in fall 2007. The class included ~50 students. The key topics covered in CEE3314include: Open channel flow; hydrology; hydraulic modeling; hydraulic machinery and structuresand lecture content are supported by laboratory experiments and demonstrations. Two specialproblems involving design of trapezoidal channels with flexible lining and grass lining weredesigned for the proposed Tablet sessions. It may be
/. Accessed on January, 15th, 2009.13. J. Lang, G.C. Nungent, A. Samal and L.-K. Soh, “Implementing CS1 with Embedded Instructional ResearchDesign in Laboratories”. IEEE Transactions on Education, Vol. 49, No. 1, pp. 157 – 165, February 2006.14. M. Domínguez, P. Reguera and J.J. Fuertes, “Laboratorio Remoto para la Enseñanza de la Automática en laUniversidad de León (España)”. RIAI (Revista Iberoamericna de Automática e Informática Industrial), Vol. 2, No.2, pp. 36 – 45, April 2005.15. D. Deniman and T. Sumner, “Merging Metadata and Content-Based Retrieval”, Journal of Digital Information,Vol. 4 No. 3, Article No. 231, November 2003.16. L. Kecheng et al, “Interoperability for digital learning resource management”, in Proc. ICALT 2005, Fifth
American Education and Qualitative and Ethnographic Research. c American Society for Engineering Education, 2017 Designing for assets of diverse students enrolled in a freshman- level “Computer Science for All” courseAbstractProficiency in computer science skills is crucial for today’s students to succeed in science,technology, engineering and mathematics (STEM) fields and the modern workforce. Despite thisfact, few universities count computer science (CS) classes toward the core curriculum. Ouruniversity, a Hispanic- and minority-serving research-intensive university located in theAmerican Southwest, recently began counting CS towards fulfilling the laboratory sciencerequirement in the
Paper ID #26097Lessons Learned from Available Parsons Puzzles SoftwareDr. Alessio Gaspar, University of South Florida Dr. Alessio Gaspar is an Associate Professor with the University of South Florida’s Department of Com- puter Science & Engineering and director of the USF Computing Education Research & Evolutionary Algorithm Laboratory. He received his Ph.D. in computer science in 2000 from the University of Nice Sophia-Antipolis (France). Before joining USF, he worked as visiting professor at the ESSI polytechnic and EIVL engineering schools (France) then as postdoctoral researcher at the University of Fribourg’s
South Florida Dr. Alessio Gaspar is an Associate Professor with the University of South Florida’s Department of Com- puter Science & Engineering and director of the USF Computing Education Research & Evolutionary Algorithm Laboratory. He received his Ph.D. in computer science in 2000 from the University of Nice Sophia-Antipolis (France). Before joining USF, he worked as visiting professor at the ESSI polytechnic and EIVL engineering schools (France) then as postdoctoral researcher at the University of Fribourg’s Computer Science department (Switzerland). Dr. Gaspar is an ACM SIGCSE, SIGITE and SIGEVO member and regularly serves as reviewer for international journals & conferences and as panelist for
) ● Demonstrate visualization, animations, and simulation applications related to GIS. ● Develop and demonstrate applications for GIS consulting. ● Facilitate PBL and AL in GIS curriculum ● Supplement departmental laboratories and augment current pedagogical practicesIn addition to the above mentioned factors, the researchers emphasize methods like Discovery-based Learning (DL) emphasize on intrinsic motivation, intuitive thought-process, and student-centered learning (Jian, Jing-xiang, Chang-hui, 2010). Founded on the above learning concepts,the proposed framework aids learning geospatial applications in domains like environmentalmodelling, land use planning ( Chandramouli, Huang, and Xue, 2009, Chandramouli & Huang,2012
and for onlineplatforms. A number of classrooms are available that are outfitted with full video capturecapabilities and staffed by student operators. A video studio with a green screen is alsoavailable for instructor use.The instructors were given great leeway in how they chose to structure and develop theonline versions of their courses, including traditional classroom teaching supplemented withonline material, flipped classrooms, tutored online education (of which more below), and aMOOC. In the latter case, the MOOC was to be offered in addition to the regular for-creditcourse. The University views its MOOCs both as a public service and as laboratories forexploring online teaching and learning—the School of Education at the University has
-Oriented Laboratories in the First-Year Mechanical Engineering Curriculum,” Proc. of the 2011 ASEE Annual Conference and Exposition. Page 26.194.18
this case, the novelty of theapproach compared to traditional methods is twofold: (1) the use of a computer game enables usto directly observe problem-solving process through action in the game and (2) because of thenaturally immersive game environment, we hope to see motivation and persistence in the face ofcomplex problems that might otherwise be difficult to achieve in a laboratory setting. As afeasibility study, we will present methods and data that we suggest should guide further researchbut should not be used to make specific claims. Before describing this exploratory study, webriefly review relevant literature of problems and problem-solving.Background on Problem Solving LiteratureOne characterizing difference between problems faced in
to provide insight and guide further development.The Start LabThe Solar Technology Applied Research and Testing (START) Laboratory, shown in Figure 1,is a pilot-scale CSP plant that is the first university-owned facility of its type and size in theUnited States [14]. It supports research on next-generation solar devices and provides outreachactivities to educate K-12 students about solar energy and other forms of renewable energy.Physical tours provide limited opportunities for educational experiences, because it is difficultfor many students to travel to the START Lab due to geographical or scheduling constraints. Forbroader delivery of educational experiences, we developed the VEC, also shown in Figure 1.Ritter and Chambers [1] described
., Radenkovic, B., & Despotovic-Zrakic, M. (2014). A Platform for Learning Internet of Things. International Association for Development of the Information Society.16. Dickerson, S.J. (2016). Preparing Undergraduate Engineering Students for the Internet of Things. In Proceedings of the 2016 ASEE 123rd Annual Conference & Exposition, New Orleans, LA, June 26-29, 2016.17. Hamblen, J. O., & van Bekkum, G. M. (2013). An embedded systems laboratory to support rapid prototyping of robotics and the internet of things.IEEE Transactions on Education, 56(1), 121-128.18. Hu, J., van der Vlist, B., Niezen, G., Willemsen, W., Willems, D., & Feijs, L. (2013). Designing the Internet of Things for learning environmentally
, established within the College of Education in Fall 2014, and the UW 3-DArtScience and STEM Maker Laboratory, established in the Department of Art and Art Historyin Fall 2015.To help maintain this momentum, the SIC planning committee agreed that an intermediate andmore centrally located facility might assist with broader campus goals, build anticipation for thenew facility, and launch a network of makerspaces on campus to maximize impact and use.Committee meeting discussions took into consideration guidance and advice learned fromopening the other spaces, including an absolute need for a facility to be easily accessible andvisible to students.When innovation and maker labs are not directly in the flow of typical student traffic, theybecome
ComputerScience Education, 2004.[17] McKinney, D. and L.F. Denton. Affective Assessment of Team Skills in Agile CS1 Labs:The Good, the Bad, and the Ugly, Proceedings of the 36th SIGCSE Technical Symposium onComputer Science Education, 2005.[18] McKinney, D. Where do I belong: A team-based, inquiry-based, and service-learningapproach to an introductory course in computer science. Sixth Annual South AlabamaConference on Teaching and Learning. Mobile, AL, 2016.[19] McKinney, D. and L.F. Denton. Developing Collaborative Skills Early in the CSCurriculum in a Laboratory Environment, Proceedings of the 37th SIGCSE TechnicalSymposium on Computer Science Education, 2006.[20] Michaelsen, L. K., A.B. Knight, and L.D. Fink. Team-based learning: A transformative
Simulation Conference and acts as the technical coordinator for the conference’s management system.Carolyn Miller, North Carolina State University Carolyn S. Miller is a Lecturer in the Department of Computer Science at NC State University. She received her M.S. in Computer Science and worked as a Member of the Technical Staff at Bell Telephone Laboratories and a Senior Digital Systems Engineer at General Electric before joining NC State University. Ms. Miller teaches introductory computer science classes and focuses on researching and integrating new teaching techniques into the classroom.Tom Miller, North Carolina State University Thomas Kenan Miller, III received the BA degree in Mathematics and
Engineering Exploration (EngE1024).Jenny Lo, Virginia Tech JENNY L. LO is an assistant professor in the Department of Engineering Education in the College of Engineering at Virginia Tech. She received her Ph.D. in chemical engineering at Carnegie Mellon and her B.S. in chemical engineering at Tulane University.Odis Griffin, Virginia Tech HAYDEN GRIFFIN is currently professor and head of the Department of Engineering Education at Virginia Tech. He holds BSME and MSME degrees from Texas Tech University and a Ph.D. in Engineering Mechanics from VPI&SU. He had 13 years of experience in industry and government laboratories prior to joining Virginia Tech in 1985
], topology-based [4], partition-based [5], and illustration-based [6]visualizations have been presented. To design FlowVisual, we focus on integration-based flowvisualization as it is most widely used in practice. For integration-based flow visualization,particles or seeds are placed in a vector field and advected over time. The traces or field-linesthat the particles follow, e.g., streamlines for steady flow and pathlines for unsteady flow, depictthe underlying vector data.Teaching the core concepts of fluid dynamics has not significantly changed over the years. Onlya few published works have discussed some recent advances. Hertzberg and Sweetman [7]designed a flow visualization course to focus on studio/laboratory experiences for mixed teamsof
Longitudinal Evaluation of a GIS Laboratory in a Transportation Engineering Course”, Journal of Professional Issues in Engineering Education & Practice, 137(4), 2011, pp. 258-266.6. Byrne, B.M. (2001).”Structural Equation Modeling with AMOS. Basic Concepts, Applications, and Programming”, Mahwah, NJ: Lawrence Erlbaum Associates, Publishers, 2008.7. Cho, M.H. “Online Student Orientation in Higher Education: A Developmental Study”, Educational Technology Research and Development, 60(6), 2012, pp. 1051-1066.8. Chyung, S.Y., Moll, A.J. and Berg, S.A. “The Role of Intrinsic Goal Orientation, Self-Efficacy, and E-Learning Practice in Engineering Education, The Journal of Effective Teaching, 10(1), 2010, pp. 22-37.9
. (2009). "And Never the Two Shall Meet?: Student vs. Faculty Perceptions of Online Courses." Journal of Educational Computing Research 40(2): 171-182.15 Osborne, R.E. (2010) Personal communication, December 1, 2010.16 Gibbons, M. (2010). Resurgent Masters. ASEE Prism, 19(8), 22-3. Retrieved from Education Full Text database17 Grose, T. K. (2003). "Can Distance Education Be Unlocked?" ASEE Prism, 12(8): 18-23.18 Esche, S. K. (2006). "On the Integration of Remote Experimentation into Undergraduate Laboratories Technical Implementation." International Journal of Instructional Media, 33(1): 43- 53.19 Zhao, J. J., Alexander, M. W., Perreault, H., Waldman, L., & Truell, A.D. (2009
, so it is not possible to compare with other research tools. We dopartially address the evaluation issues, because in our study, we allow users to use the toolanywhere anytime and for their own research rather than limit the study in the laboratories. Inthis way, we gained valuable insight on how we can improve iKNEER in the future to addressresearchers’ real needs.2. 4 Web Information Seeking and ResearchersIn library and information science, lots of literature exists on how researchers use libraries andhow libraries influence their research21,22. There are also studies on how people seek informationon the web23,24. For example, studies have examined the gender differences and age differencesin information seeking on the web25–28; other
to the new subject matter andproject criteria.The course WCM609 Radio Systems Modeling (phase 2 of the study) focuses on modeling andsimulation of wireless communication systems. The goal of this course is to explore all thecomponents of a radio communication system and simulate using MATLAB® and its simulationtool SIMULINK®. Throughout the course, via the instructor guided laboratories, the studentslearned to analyze, build and design components of a real radio receiver. The course has beenoffered several times in the Master of Science in Wireless Communication program at NationalUniversity. A course project is given to the students at the end of the design course, in which thestudents are required to design and simulate a complete digital
the searchfirst students as their questions are answered within a context. Likewise, the search first studentsperform better than ask first students as they are engaged in the learning process and are self-directing their learning. Finally, ask first students are merely seeking an answer without anyexploration.Virtual Office HoursStatus updates and comments are asynchronous forms of communication and require participantsto wait indefinitely for responses from others in the network. There are many instances whereimmediate feedback is necessary in order for students to proceed on a project or other learningactivity. In the inverted classroom model, that immediate feedback occurs in the laboratory,although there are other instances where
AC 2011-107: MACROERGONOMIC ANALYSIS OF INSTRUCTIONALTECHNOLOGY ADOPTION: A CASE STUDY ON TABLET PC ADOP-TIONLeanna M. Horton, Virginia Tech Leanna Horton is a Ph.D. Candidate in the Industrial and Systems Engineering Department at Virginia Tech and is a member of the Industrial Ergonomics and Biomechanics Laboratory. Her research is focused on the effects of job rotation on muscle fatigue and performance.Kahyun Kim, Virginia Tech Kahyun Kim is a graduate student currently pursuing Ph.D. in Industrial and Systems Engineering at Virginia Tech with a concentration on human factors and ergonomics. Her research interest is in the impact of various factors on team collaboration and effectiveness as well as team
, “Education and Training” was listed as oneof the top ten unsolved problems in InfoVis [7]. The overarching theme for the 2015 Gordon Research Conference onVisualization in Science and Education is “Grand Challenges in the Use of Visualization in Science and Education” [1].More recently, educational psychology concepts were applied to design four types of online guides for InfoVis [20].However, few works have been done for SciVis. Hertzberg and Sweetman [9] designed a flow visualization coursefocusing on studio/laboratory experiences. Wang et al. [23] presented an education tool named FlowVisual for teachingand learning 2D flow visualization and later extended it to 3D flow visualization [22]. Work focusing on VolViseducation is even more scarce
(CSUEB). The Visualization and Immersion Classroom(VIC) is suited for the delivery of large-scale educational interventions (see Figure 2). The VICis a computer laboratory equipped with 48 high-end computers capable of running the latestvisualization software. The VIC is also equipped with 10 Oculus Rift, capable of renderingvirtual environments in real-time. Based on the environment, the target audience of the game willbe undergraduate students. In particular, the game was designed for first-year undergraduatestudents and transfer students joining the CSUEB campus. The research team selected thisstudent population to maximize the transfer of the desired learning and behaviors to incomingstudents and have a long-lasting effect on their academic
University Jon Sticklen is the Director of the Applied Engineering Sciences major, College of Engineering, Michigan State University. Dr. Sticklen also serves as the College Coordinator for engineering education research, and is an Associate Professor in the Computer Science and Engineering Department, MSU. Dr. Sticklen has lead a laboratory in knowledge-based systems focused on task specific approaches to problem solving. More recently, Dr. Sticklen has pursued engineering education research focused on early engineering; his current research is supported by NSF/DUE and NSF/ CISE.Jeannine LaPrad, Corporation for a Skilled Workforce Jeannine La Prad is President and CEO of CSW
throughout the United States. All CIS undergraduates are required to take 120 credit hours of course which includes 58 credit hours in the CIS department. Most CIS courses are offered as lecture classes with 4 contact hours each week. There are several classes which also require attendance in closed laboratory sessions. The emphasis in CECS is on small class sizes (30:1 student to faculty ratio) and offering hands on experiences through class assignments, course projects, internships, and a two semester (8 month) capstone design project course (4 credits total). The CIS capstone project experience involves students working as part of a four person team under the mentorship of a senior CIS professor to
analysis of unsteady flow simulations. He has completed a research internship at Argonne National Laboratory in summer 2018. He received his BSc (2014) and MSc (2016) in Software Engineering at the Vienna University of Technology. During his Master’s pro- gram, he conducted research at the VRVis Research Center in Vienna and continued acquiring experience during a research internship at the University of California, Irvine.Miss Wenqing Chang, Xi’an Jiaotong University Wenqing Chang is currently a senior student in Information Engineering from Xi’an Jiaotong Univer- sity. In 2018, she joined NUS Summer Workshop, developing a 2D webpage game using WebGL and rendering 3D animation using OpenGL. From the fall of 2018 to