six groups of4 (approximately) members each. The instructor meets with each team individually and discusses theirquestions and explains to them how specific questions can be clarified and improved. Although, theentire activity from start to finish is carefully monitored by the instructor with continuous feedbackand grading of team-performance, independent team work and individual responsibility are alsoemphasized. This activity can be replicated in other CGT courses as well other disciplines. The resultssuggest that it can be an effective means to strengthen CG course pedagogy. This approach willfacilitate assessment of tactile learning methods in CGT course curriculum and help with a continuous‘Course Improvement Plan’. Ultimately this
Science Foundation under grants DUE-1525120, DUE-1225654, and DGE-1419295. © American Society for Engineering Education, 2019 2019 ASEE ConferenceReferences[1] Peter J. Clarke, Debra L. Davis, Raymond Chang-lau and Tariq M. King. 2016. Impact ofUsing Tools in an Undergraduate Software Testing Course Supported by WReSTT. ACMTransactions on Computing Education (TOCE). 17, 4 Article 18 (August 2017).[2] Yujian Fu, Nelson Barnes and Peter J. Clarke. Integrating Software Testing into ComputerScience Curriculum Using WReSTT-CyLE. The 123rd ASEE Annual Conference & Exposition.- Computing and Information Technologies (CIT) , June 2016. Paper Id: 15885.[3] Yujian Fu and Peter J. Clarke
reporting a more clear idea of what was expected from them and abetter overall team experience. Most students report that the experience of this embeddedsystems course was “realistic” and “help them to know what to expect upon employment”. Manystudents participating the course described here accepted jobs in industry as embedded systemsdesigners. Alumni participants report that the experience was an excellent preparation for theirprofessional responsibilities.References[1] ACM/IEEE, Computer Engineering Curricula 2016: Curriculum Guidelines for Undergraduate Degree Programs in Computer Engineering, Dec. 2016.[2] J.W. Bruce, J.C. Harden, and R.B. Reese, “Cooperative and progressive design experience for embedded systems,” IEEE
, we present our experience in designing and delivering a mobile developmentcourse that focuses on developing mobile apps for social good by integrating socially consciouscomputing in the design and development process. We provide an overview of our coursestructure, course modules, learning objectives, and few case studies which stress ethical thinkingthroughout the process of app design and development. Our goal was to expand the currentrepertoire of in situ learning activities that require ethical judgment and to integrate thosepractices into their development process. Even though we have not taken any feedback, mainly,if students perceived the notion of socially conscious computing from the perspective of mobileapp development, we found
?!"), and fail to grasp the topic. By providing a live captionhistory on student devices, students can refocus, reconnect, and thus have an opportunity to learnthe current lecture topic being presented.The design of the ClassTranscribe platform is extensible and scalable. We demonstratecaptioning of content by integrating with two websites used to host lecture videos, youtube.comand echo360.com.IntroductionToday, undergraduate and graduate engineering students enroll in courses that employ livelectures, which may or may not include exposition, active learning and student-centeredtechniques (e.g., POGIL [1]), online video content, and a blend of multiple presentation formats.However, student and technology issues such as non-disclosed hearing
science instructors make use of pedagogical strategies thathelp students improve their understanding of programming concepts and become betterprogrammers. One such tool that implements these strategies through a cyber-learning platformthat incorporates an array of learning engagement strategies (e.g., collaboration, socialnetworking, gamification), is SEP-CyLE.SEP-CyLE attempts to overcome these technical and retention issues in three main ways. First, itbreaks large concepts like software programming and testing concepts into smaller learningobjects providing a less overwhelming experience for students. Second, integrated learning andengagement strategies show that software testing and other foundational programming conceptsare relevant. Finally
Concepts to Harness Future Innovators and Technologists) project. Since September 2016, she co-leads the NSF STEM+C project, Curriculum and Assessment Design to Study the Development of Motivation and Computational Thinking for Middle School Students across Three Learning Contexts, that builds on TECHFIT. Professor Harriger’s current interests include outreach to K-12 to interest more students to pursue computing careers, applying IT skills to innovating fitness tools, and wearable computing.Arjun Shakdher, Purdue University Arjun Shakdher is currently a graduate student in the department of Computer and Information Tech- nology at Purdue University. He has been working as a Graduate Research Assistant since 2017 on an
, 2009.[27] Padir, T., Gennert, M.A., Fischer, G., Michalson, W.R. & Cobb, E.C., 2010, “Implementation of an undergraduate robotics engineering curriculum”, Computers in Education Journal, Vo. 1, No. 3, pp. 92-101.[28] http://www.pages.drexel.edu/~ctc27/tenkey.html, accessed in January, 2019.[29] Chang, Y., Aziz, E.-S., Zhang, Z., Zhang, M. & Esche, S. K., 2016, “Usability evaluation of a virtual educational laboratory platform”, Computers in Education Journal, Vol. 7, No. 1, pp. 24-36.[30] Chang, Y., Aziz, E.-S., Zhang, Z., Zhang, M., Esche, S. K. & Chassapis, C., 2014, “A platform for mechanical assembly education using the Microsoft Kinect”, Proceedings of the ASME International Mechanical
. He is integrally involved in the design and delivery of the Pre-Freshman and Cooperative Education Program and others of that ilk at OSU, as a part of his specific interest in soft skill development, diversity, recruitment and retention initiatives.Mr. Nicholas Rees Sattele, Ohio State University Nicholas is an Undergraduate Research Associate with The Ohio State Department of Engineering Ed- ucation. He is in the process of completing a B.S. in Computer Science and Engineering in the In- tegrated Business and Engineering Honors Program at Ohio State. His interests include incorporating Entrepreneurial Minded Learning into engineering coursework and interdisciplinary innovation. c
Technology Officer, at UT Brownsville, he implemented state of the art networking using campus wide fiber ring with redundant links. He established diskless computer labs to provide uniform computing platform across campus, and modernized classrooms to make them congenial to online learning. He was the PI on NSF funded BCEIL (Beowulf-based Curriculum Enrichment Integrated Laboratory) and Co-PI on NSF funded MCALL (Multimedia based Computer Assisted Learning Lab).Dr. Hansheng Lei c American Society for Engineering Education, 2019 A Holistic Approach for Enhancing Distributed Education with Multi-Campus Course Delivery MethodsAbstractTo create an emerging teaching and
, programming, communication (including written, oral, and graphical),3D printing, and an introduction to engineering research. The culminating feature of this courseis a final project, called the Cornerstone Project, which includes the construction, optimization,and mechanical design of a windmill system. This system includes the integration of student-built AC motors, DC motors, and data acquisition systems that students use to discernquantifiable results for their windmill, such as efficiencies, power output, and windmill speed –accomplished via the construction of a tachometer, which the students design and build.The first implementation of this course was in Spring 2017, in which the programming aspects ofthe Cornerstone Project were executed
knowledge retention thanthey had prior to training. While deployment of retrieval strategies in the classroom has beenrequired of all participants, those who attended additional training in the summers (N=68) havealso conducted Action Research to measure the effect of new strategies on learning. Theseteachers randomly selected control and target student groups within the same school, grade andcourse environment. They also self-selected an area of content within their respective sciencedisciplines or mathematics curriculum and created two different retrieval practices – a blockedpractice that examines student knowledge and skills for applying a certain method to the solutionof various questions on only one topic or type, and the interleaved practice
explain the concepts, for thefollowing reasons. Dell Visor can be plugged into any PC and desktop that is able to run windows 10.However, an adapter and dongle are needed to properly have the system run with a desktop. Theadaptor has to a Mini display port to HDMI video adaptor converter; we choose this also, because itneeds to be able to support 4K. The dongle is a Bluetooth 4.0 LE + EDR to plug into a USB port; thisis needed if the computer does not have built in Bluetooth.This system can be used to facilitate CG instruction through interactive learning exercisesand active learning in Engineering and Technology curriculum. In addition, students in variousET disciplines can use this framework to apply CG concepts in their discipline
provide easy access to any practical experienceas the gap between current hardware solutions and basic implementation of operating systemprocesses is too large for undergraduate students. Additionally, the number of students attendingthis course increases constantly, such that currently more than 800 students visit our course, weare not able to provide individual feedback to every person. Thus, we aim to create an interactivesimulation framework (SysprogInteract), which can be easily integrated into the educationprocess and fulfill the student's expectations on a modern, digitized education. In such senseSysprogInteract delivers the opportunity to involve a large student number into practicalcomputer system programming as automated feedback is
running programs entirely on their computer.Instructional StrategiesThese labs can be implemented in various classroom settings. They provide ideas for teachers as wellas flexible applications. Each lab includes ways of tuning the complexity and difficulty of each activity,depending on the students being taught and the lesson time frame. We focused heavily on creating 3labs that could be easily integrated into current curriculum and supplement existing lesson plans. Thismakes teaching Computer Science principles less demanding and much more attainable. Participants were more engaged when labs started slow and worked up incrementally to more com-plex ideas. Before starting the labs, we
assessment questions that include the skilltags dimensional analysis and system integration. To begin to place roughness into someappropriate context, the descriptor of “Specialist” or “Specialized” are used. These descriptorswould indicate that the given student has very strong talents in a few specific skills at theexpense of proficiency in other skills. Figure 3B represents the student with the largest averagecircular radius value, which means that that student has the highest level of average proficiencyacross all skill tag questions compared to the class. Though this student does not represent thelowest roughness value, when compared to others this student can be considered fairly “well-rounded”. A well-rounded profile may be likened to an
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
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
integrity vulnerabilities in classeswith online components. It uses lockdown proctored biweekly quiz/exam which avoids integrityvulnerabilities common to online delivery methods. Since multiple choice can be restrictive,students’ hand-written scratch worksheets composed during assessment are scanned-in. This isfurther explained herein within the Proctored Assessment Component in Section 6 of this paper.3.8 Activity 8: Score Clarification to Foster MetacognitionScore Clarification is a technique that motivates learners in a quest for partial credit to explainthe problem-solving flow that they used in their formative assessment submissions fromscanned-in scratch sheets. These elicit an explanation of the solution in their own words withfirst-line
programming languages like Haskelland Ada. The complexity of hardware descriptions coupled with HDL similarities to sequentialprogramming languages has led the authors to propose the idea of introducing LP into HDLeducation. Using LP to improve HDL education has not been widely investigated. One earlyattempt involved an approach very similar to Knuth’s WEB approach [18][19] using a Prologlogic program to generate a human-readable form and a Verilog HDL file. The main thrust ofthis effort was to capture the formal operational semantics of the description and animate thebehavior of parallelisms. The approach taken in [18] and [19] will clearly suffer from the failingsof Knuth’s efforts with regard to a maintainability, tool-chain integration, and user
exploration of: 1) race, gender, and identity and 2) computer science education research in order to inform pedagogical practices that garner interest and retain women and minorities in computer-related engineering fields.Jasmine Skye Batten, Florida International University Jasmine Batten is an undergraduate computer science education researcher whose goal is to earn her PhD in computer science and become a professor. She is interested in improving women’s retention in com- puter science by researching different pedagogical techniques including active learning and gamification and their effects on women. She will graduate from Florida International University in August 2019 with her BS in computer science
of RWTH Aachen University. Her research focuses on innovations in engineering education as well as learning organizations.Dr. Frank Hees, Cybernetics Lab IMA & IfUProf. Ingrid Isenhardt c American Society for Engineering Education, 2019 Effects of Collaborative Augmented Reality on Communication and Interaction in Learning Contexts – Results of a Qualitative Pre-StudyAbstractModern digital technologies like Augmented Reality (AR) are assumed to foster the learningprocess due to their hands-on nature. AR has the advantage of visualising processes, objectsor data and information that would under regular circumstances not be visible or perceptiblefor the user, since it integrates virtual objects into
Paper ID #26639Using Natural Language Processing Tools on Individual Stories from FirstYear Students to Summarize Emotions, Sentiments and Concerns of Transi-tion from High School to CollegeDr. Ashwin Satyanarayana, New York City College of Technology Dr. Ashwin Satyanarayana is currently an Associate Professor with the Department of Computer Systems Technology, New York City College of Technology (CUNY). Prior to this, Dr. Satyanarayana was a Re- search Scientist at Microsoft in Seattle from 2006 to 2012, where he worked on several Big Data problems including Query Reformulation on Microsoft’s search engine Bing. He holds
on the fundamental concepts of thermal systems design andanalysis is possible with the introduction of system modelling software that carries some of theload of repetitive calculation required for complex systems. Models of thermodynamic systemsencountered in an advanced undergraduate thermodynamics course were developed by students(some provided to students) to solve homework problems of complex steam power plants,internal combustion engines, gas turbine power plants, refrigeration, and building energysystems. Computer modelling systems used included two commercial modelling programs, anopen source program, and systems developed by the authors. Use of the modelling softwareforced students to setup problems in the same way as if solved on
trending areas that could be ofconcern.Cybersecurity is an inter-disciplinary field that encompass a large number of subject areas that must be taught and learnt.Overtime, the number of topics that must be taught to students has grown, while the number of hours in the curriculum remainedthe same. This dynamic means educators must choose what topic areas they must focus on based on its importance and relevancein the always changing security landscape. Being able to see the topic areas that are important during a specific time period canhelp educators focus on these topics in their courses, helping them focus on the areas that are currently trending and important inthe security field. The methods used in the word and hashtags analysis can be used to