speech processing theory and analysis in the classification of human vocal patterns for determining speaker demographics (i.e., dialect, language, etc.), speaker characteristics (i.e., gender, dimensions, etc.), and speaker state (i.e., emotion, stress, etc.). Additionally, Dr. Moore’s interests in engineering education have involved improving the implementation of technology in distributed education for creating active learning environments. He has been awarded grants from HP and Microsoft to support his research efforts in this endeavor. In 2005, Dr. Moore received an NSF CAREER award for the development of new techniques for extracting and integrating features of the voice source into
a large node-link diagram. This explicitmapping of expert knowledge structures has been shown to promote conceptual understanding instudents. Because concept maps become visually cluttered and unusable when they get too largethough, an interactive visualization tool was developed to maintain the advantages of conceptmaps as learning tools while managing the visual clutter in maps that cover entire courses oreven an entire curriculum. In this paper, the authors discuss the process they took in integratingthe educational literature with the information visualization literature to understand how to bestmake an information visualization that addresses educational goals. Results from a heuristicanalysis using Munzner’s four level validation
Paper ID #22662Second Year of Using the Sidekick Basic Kit for TI LaunchPad with Elemen-tary School StudentsMs. Tara N. Kimmey, Colorado STEM Academy 5th/6th grade teacher in Westminster, Colorado. She earned her Bachelor’s of Science in Liberal Studies from Longwood University in 2011 with a concentration in Elementary Education. She then went on to earn her Master’s of Science in Curriculum and Instruction in Special Education K-12 in 2012.Dr. Cameron H. G. Wright P.E., University of Wyoming Cameron H. G. Wright, Ph.D., P.E., is a Professor with the Department of Electrical and Computer En- gineering at the University of
education. He received his BS in physics from MIT, and his MS and PhD in physics from The Johns Hopkins University. He joined the faculty of IUPUI in 1995.Prof. Rebecca Susan Lindell Rebecca Lindell, PhD, is a former physics faculty member at Southern Illinois University Edwardsville*. With over 20 years experience in the fields of Physics and Astronomy Education Research (PER), Re- becca is an award winning curriculum developer and has received national recognition for her redesign of her introductory astronomy course at Southern Illinois University Edwardsville. She has redesigned or as- sisted in the redesign of numerous physics courses at every level. She founded Tiliadal STEM Education in 2014 to allow her to
Engineering department is the largest engineering major in the COE. All MEsophomores (approximately 300 to 350) own Tablet PCs due to the Tablet initiative of fall 2006.A pilot study was conducted by the 3rd author to integrate Tablet PCs technology into twosections of ME 2024 – Engineering Design and Economics for enhancing students’ learningexperiences. ME 2024 is a required course for all ME students and provides an introduction toproduct development and design. The course emphasizes team collaboration and technicalwriting skills and includes topics like project management, mechanical dissections, engineeringeconomics, and ethics. Ten sections of ME2024 are offered each year with class sizes limited to30 to 36 students. It may be noted that all
integrated problem, students who are generally high achievers may be moreinclined to take the extra steps necessary toward the solution. We may postulate that the studentswith GPA lower than 3.0 were not motivated to attempt the problem, or attempted the problembut were unsuccessful or dissatisfied with their solution, and thus did not turn in an answer. Theydid not even attempt to guess the first portion of the question by providing a simple yes or no,where they had a 50/50 probability of getting it correct. Students with GPA greater than 3.5mostly got the question correct, showing that they either knew or were willing to seek help tofigure out the additional steps needed to achieve a solution, and were willing to then do thesubsequent work.Factors
simulation.Using handheld devices promises an interesting mix of affordability and scalability whilepotentially retaining perhaps the most compelling aspect of head-mounted virtual reality, whichis direct manipulation. As described by Hutchins, Hollan, and Norman (1985), reducing the "gulfof execution" and the "gulf of evaluation" is expected to increase the "feeling of directness."When it is used, the ability to move a handheld device just like someone might move a camera isexpected to be nearly automatic (execution) while seeing the 3-D object integrated with one'sphysical space via the camera view is expect to very similar to how one generally sees the world(evaluation). In the words of Hutchins, et al., the hope is that there would be a
likely resources (4 terms) students from 3 to read materials classes at 2 locations (11, 20; 29, 17)Students were more likely to read course materials to prepare for an online readiness assessmentquiz40. A separate study37 showed that students were more comfortable working on technicalproblems with no clear answers. Also, students were more at ease designing and building adevice from an assortment of given parts. In all of the above studies, students gave positivecomments and ratings to their respective courses indicating that the integration
AC 2010-2147: EFFECTIVE USE OF SCREENCASTING SOFTWARE INENGINEERING COURSESJohn Baker, University of Kentucky John R. Baker is an Associate Professor of Mechanical Engineering at the University of Kentucky Extended Campus Program in Paducah, KY. He received his B.S., M.S., and Ph.D. in Mechanical Engineering from the University of Kentucky in Lexington, KY. After obtaining his B.S., he spent three years working in the Plastics Division of Eastman Chemical Products, Inc. He entered his current position in July 2000.Vincent Capece, University of Kentucky Vincent R. Capece is an Associate Professor of Mechanical Engineering at the University of Kentucky Extended Campus Program in Paducah, KY
impact on students when the 3D printer was introduced. This was done after teaching thesame class content to all four classes. For the second experiment, a post-attitudinal survey was givento all of the students of the classes that used the 3D printer. This same procedure was followed forthe second year of the study. Training was an integral part of the student project as was attending different technologyworkshops provided by the Learning Environments (LE) area within the Academic Technologies(AT) department at UTEP. LE works directly with students and faculty to research and prototypetechnology in educational spaces. In addition, students were given a web space and training indifferent types of software (iWeb, iMovie, Inventor Fusion
Computational Thinking course for non-majors. An initialquantitative evaluation of the visualizations raised questions about their long-term effectivenessand ease of use. This study represents a qualitative study done to gain deeper insight into theexperiences of students. The results of this study demonstrated students were engaging withcourse materials in unexpected ways but frequently referred back to the visualizations.Additionally, students had an approach to understanding the visualizations that was both helpfuland problematic. These findings help to inform visualization and curriculum designers aboutstudent attitudes and strategies in using course materials.1 IntroductionDue to the abstract nature of Computer Science it is not uncommon for
University utilizes Scratch programming to promote STEM to young people2. The YoungWomen in Computing (YWiC) program at New Mexico State University integrates Scratch intoits curriculum of middle school summer camps in 20133. University of Texas in Dallas offerstwo Scratch camps (for beginner and advanced levels, respectively) in their K-12 outreachactivities4.Application of Scratch as a pedagogical toolScratch was designed for youth from the ages of 8 to 16, but is used by people of all ages 1. Withthe visual nature of Scratch, it can parallel coding in a traditional programming language in away that is generally more engaging to younger users and people without programmingexperience. Scratch possesses many of the features that are characteristic
Paper ID #21811Technology Enhanced Pre-Calculus Classrooms (Work in Progress)Dr. Melissa Danforth, California State University, Bakersfield Melissa Danforth is a Professor and the Chair of the Department of Computer and Electrical Engineering and Computer Science at CSUB. Dr. Danforth was the PI for a NSF Federal Cyber Service grant (NSF- DUE1241636) to create models for information assurance education and outreach. Dr. Danforth was the Project Director for a U.S. Department of Education grant (P031S100081) to create engineering pathways for students in the CSUB service area. She is the co-PI for an NSF IUSE grant for STEM
skills of engineering students: Technology to the rescue with the Virtual-i Presenter (ViP)AbstractEngineering graduates are faced with solving increasingly interdisciplinary and complextechnical problems in a competitive world that requires clear communication and presentationskills. To this effect, oral communication skills should be considered an integral part of anengineer’s formal education. Many engineering departments, however, are currentlyexperiencing a growth in enrolments which is translating to larger classroom sizes.Unfortunately, this is impacting on the ability for students to acquire oral presentation skillsbecause in-class oral presentations can take over limited lecture or lab time which is needed forother critical
Paper ID #26971Beyond the Means – Visualizing Learner Activity and Outcomes for OnlineInstructorsMr. Taylor V. Williams, Purdue University-Main Campus, West Lafayette (College of Engineering) Taylor Williams is a Ph.D. student in Purdue’s school of engineering education. He is currently on an academic leave from his role as an instructor of engineering at Harding University. While at Harding he taught undergraduate biomedical, computer, and first-year engineering. Taylor also spent time working in industry as a systems engineer. Taylor received his master’s in biomedical engineering from Tufts Univer- sity and his
out that thesimulation tools are somewhat complicated to use.The results of this study point out to several implications for enhancing students’ experienceusing these tools. It has been identified that the inclusion of a tutorial or online demonstrationmay be beneficial, for not only explaining technical aspects such as description of all options ofthe tools, but also for explaining theoretical aspects such as how to refine certain points in amesh. Finally, by these same means (e.g. tutorials, demos, etc.) the transparency of thesimulation can be increased by explaining students “what is happening to the program whenrunning”.In conclusion, literature has emphasized the need of integrating computational materials coursesinto the curriculum. We
Romanian Agency for Quality Assurance in Higher Education), and other (email: lucian.cioca@ulbsibiu).Dr. Richard Chiou, Drexel University (Eng. & Eng. Tech.) Dr. Richard Chiou is Associate Professor within the Engineering Technology Department at Drexel Uni- versity, Philadelphia, USA. He received his Ph.D. degree in the G.W. Woodruff School of Mechanical Engineering at Georgia Institute of Technology. His educational background is in manufacturing with an emphasis on mechatronics. In addition to his many years of industrial experience, he has taught many different engineering and technology courses at undergraduate and graduate levels. His tremendous re- search experience in manufacturing includes environmentally
tools and e-books focus on a singlesubject with multiple modules explaining each case, requiring vast amount of effort from an expertto create such modules. As a result, the static information is unable to operate optimally in newenvironments, because the system is unable to adapt uniquely to each students’ learning behaviorsand teachers’ input. Thus, to overcome this issue, the DIME system integrates modern machinelearning techniques, which allow the graphical display of information to adapt automatically basedon external and internal feedback.The way the DIME system responds to these two types of feedback differentiates it from previoussystems. Internal feedback refers to the students’ physical interaction with the DIME map, such asclicking
2006-812: MATHCAD FOR IN-CLASS EXAMPLES IN A RANDOM PROCESSESCOURSEJames Reising, University of Evansville JAMES A. REISING is an Associate Professor of Electrical Engineering at the University of Evansville, Evansville, Indiana, where he has taught since 1980. Prior to that time he was employed by Eagle-Picher Industries at the Miami Research Laboratories and the Electro-Optic Materials Department. He is a senior member of IEEE. Page 11.913.1© American Society for Engineering Education, 2006 Mathcad™ for In-class Examples in a Random Processes CourseAbstractSome textbooks1,2 used for courses in
year so the robots also change.BEST is a volunteer, non-profit organization that must raise the money to support thegame and pay for the kits. The robots in the BEST competitions have been remotecontrolled type robots. The returnable kits are used each year and consist of the remotecontrol system with motors and servos. For some time, the BEST organization hasconsidered moving to a quasi-autonomous robot with microprocessor control. However,no systems have been found to meet the BEST requirements specifically in regard to cost,ease of use, ruggedness and reliability. The ECE Department at TTU has, for a number ofyears, used robotics projects with embedded microprocessors as an integral part of theproject laboratory program. The development of
nodes can be referred to as the course model.The navigation of most online courses is done linearly; typically by pressing the next button togo to the next course section. An effective automated course delivery system however, shouldguide the student through the course using an Intelligent Tutoring System (ITS). In ITSnavigation, it is the computer that determines which topic the student needs to see next. TheITS’s navigation decisions are mainly based on the results of continuous formative assessmentsthat are integrated in each course ontology node. Hence while in linear navigation all studentsexperience the course in the same way, in ITS course navigation, each student experiences thecourse differently. For example with ITS navigation, some
for the transport of both information and electricalenergy. As such, they are an important subject for undergraduate students in electricalengineering to master. With pressure to include more topics in the curriculum, most electricaland computer engineering curricula have limited the required coverage of electromagnetics to asingle three or four semester hour course. With this development, the allotted space in the singlecourse must be used wisely and many topics formerly covered in a multi-course sequence mustbe omitted. This forces some difficult curricular decisions as some pet topics of various facultycannot be covered in the allotted time. At many institutions, the topic of transmission lines wasin itself a separate course which has long
Page 14.695.2with support from the college administration, alumni, corporate entities, and from variousresearch agencies such as the NSF. Innovations include the incorporation of freshman hands-onmechanical dissection labs, multi-disciplinary projects, and integrated subject material courses toname a few. Most notable among the teaching/learning innovations are the College’s efforts inthe effective use of computing and communication technology in the curriculum. This effortspans the breadth of digital network communications technology from gigaPOP networkingthrough advanced wireless nets, utilizing a broad spectrum of computing devices from personaldigital assistants through multiprocessor super computers. In this paper we describe howpersonal
instructor] did an AMAZING job using the tablet PC. He integrated it very well into the course, and it made things run much smoother and efficiently. I have had other professor attempt to use the tablet, but he is by-far an outstanding instructor with PC integration.” “In the past I have found it to be a distraction if everyone in the class has a tablet, but just the professor having one worked well.” Page 14.1374.8Additionally, several students commented that they felt instructor use of the tablet PC was notdistracting, but, based on prior experiences, students and
2006-1599: ONE STEP BEYOND: LECTURING WITH A TABLET PCRoxanne Toto, Pennsylvania State University Roxanne Toto is an instructional designer and e-Learning Support Specialist for Engineering Instructional Services at the Pennsylvania State University. In this capacity she supports faculty, teaching assistants and staff in developing technology skills and integrating those skills into courses and provides assistance in the areas of teaching, learning, instructional technology, and assessment. She received her B.A. in American Studies from Temple University in Philadelphia, her M.S. in Instructional Design and Technology from Philadelphia University; and is currently writing her dissertation in
young children computational thinking by modeling playground environments. She seeks to expand her experience by volunteering and helping to facilitate STEM workshops.Mr. Salah Alfailakawi, Kansas State University Salah Alfailakawi is a PhD student in Educational Technology (ET) Graduate Programs at Kansas State University’s College of Education. His areas of interest include social/cultural issues in ET, the impact of ET on learners and teachers, as well as practice and change management. He earned his master’s degree in practice and theory in interdisciplinary studies from Montana State University Billings. He has been an a teacher of English as a foreign language since 2006 and a head teacher since 2012 (6th-9th
determine the learning impact on students when the3D printer was introduced. This was done after teaching the same class content to all classes. Forthe second experiment, a post-attitudinal survey was given to all of the students of the classes thatused the 3D printer. This same procedure will be followed for the second year of the research.Training was an integral part of the student project as was attending different technologyworkshops provided by the Learning Environments (LE) area within the Academic Technologies(AT) department at UTEP. LE works directly with students and faculty to research and prototypetechnology in educational spaces. Furthermore, students were given a web space and training indifferent types of software (iWeb, iMovie
SPTOOLS graphical filter design editor using a Parks-McClellaniterative algorithm for digital filter coefficients determination. The filter will then be implementedusing the CodeWarrior, an integrated development environment (IDE), for the creation of programthat runs on the Tower System Microcontroller (APPENDIX figure B2). Signal conditioning usingoperation amplifier for anti-aliasing and anti-imaging filter is also included in the curriculum toenhance their knowledge in analog filter design. Performance of the Tower embedded systemboard can be tested by using the NI Elvis Instrument Launcher (APPENDIX C). The FunctionGenerator has frequency sweep capabilities which allow Bode Analyzer to create a frequencyresponse automatically of the real
-centered and distance learning.IntroductionMany countries are currently experiencing a critical need to increase the number of peoplechoosing careers in engineering and technology 1-5. In particular, IPENZ (The Institution ofProfessional Engineers New Zealand) has recently stated that New Zealand has a severeshortage of graduate engineers and needs to produce twice as many engineering graduates asit currently does to match other OECD countries and to meet its own requirements 2.However, meeting this demand for an increased number of engineering graduates isextremely difficult since high-school enrollments in mathematics and physics have declinedsignificantly in recent years 3. This problem is exacerbated by the shortage of appropriately-qualified
2006-709: A WEB-BASED SOLVER FOR COMPRESSIBLE FLOWCALCULATIONSHarish Eletem, Lamar University HARISH ELETEM was a graduate student in the Department of Mechanical Engineering at Lamar University. He received his M.S. degree in Mechanical Engineering from Lamar University in 2005.Fred Young, Lamar University FRED YOUNG is a professor in the Department of Mechanical Engineering at Lamar University. He received his Ph.D. degree in Mechanical Engineering from Southern Methodist University. He has published many technical papers and presented several papers at international conferences.Kendrick Aung, Lamar University KENDRICK AUNG is an associate professor in the Department of Mechanical