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Designing for assets of diverse students enrolled in a freshman-level computer science for all course

Conference Session: First Year Computing Topics
Collection: 2017 ASEE Annual Conference & Exposition
Authors: Vanessa Svihla, University of New Mexico; Woong Lim, University of New Mexico; Elizabeth Ellen Esterly, University of New Mexico; Irene A Lee, MIT; Melanie E Moses, Department of Computer Science, University of New Mexico; Paige Prescott, University of New Mexico; Tryphenia B. Peele-Eady Ph.D., University of New Mexico
Tagged Topics: Diversity
Tagged Divisions: Computers in Education

designer and is currently a PhD stu- dent at the University of New Mexico in the Organization, Information and Learning Sciences department where she is interested in design experiences for both adults and students as they relate to learning com- puter science and computational thinking. She regularly conducts teacher professional development for teachers new to computer science and has helped to develop online supports for their continued profes- sional growth.Tryphenia B. Peele-Eady Ph.D., University of New Mexico Tryphenia Peele-Eady is Associate Professor in Department of Language, Literacy, and Sociocultural Studies, in the College of Education at the University of New Mexico, where she specializes in African

Relevance Score: 0.54748577

A Replicate Study: Adoption of a STEM Outreach Program in Kuwait

Conference Session: Computers in Education Division Technical Session 10: STEM Outreach
Collection: 2020 ASEE Virtual Annual Conference Content Access
Authors: Safia Malallah, Kansas State University; Salah Alfailakawi, Kansas State University; Joshua Levi Weese, Kansas State University
Tagged Topics: Diversity
Tagged Divisions: Computers in Education

," Royal Society, 2012.[15] R. Society, "Shut Down or Restart? The way Forward for Computing in UK Schools. The Royal," 2012. [Online]. Available: https://royalsociety.org/topics-policy/projects/computingin-schools/report/.[16] J. L. Weese and R. Feldhausen, "STEM Outreach: Assessing," in 2017 ASEE Annual Conference, 2017.[17] R. Feldhausen, J. Weese and N. Bean, "Increasing Student Self-Efficacy in Computational Thinking via STEM Outreach Programs," in Proceedings of the 49th ACM Technical Symposium on Computer Science Education (SIGCSE 2018), Baltimore, 2018.[18] G. C. Council, "Gulf Cooperation Council," [Online]. Available: https://www.gcc-sg.org/en- us/AboutGCC/Pages/StartingPointsAndGoals.aspx.[19] A. B. Al

Relevance Score: 0.48914683

A Microcontroller-based DSP Laboratory Curriculum

Conference Session: CoED: Embedded Systems and Robotics
Collection: 2017 ASEE Annual Conference & Exposition
Authors: Ying Lin, Western Washington University; Todd D. Morton, Western Washington University
Tagged Topics: Diversity
Tagged Divisions: Computers in Education

statistical signal processing for wireless sensor network applications and secure communications in wireless networks.Prof. Todd D. Morton, Western Washington University Todd Morton has been teaching the upper level embedded systems and senior project courses for Western Washington University’s Electronics Engineering Technology(EET) program for 25 years. He has been the EET program coordinator since 2005 and also served as department chair from 2008-2012. He is the author of the text ’Embedded Microcontrollers’, which covers assembly and C programming in small real-time embedded systems and has worked as a design engineer at Physio Control Corporation and at NASA’s Jet Propulsion Laboratory as an ASEE-NASA Summer Faculty

Relevance Score: 0.4618628

A Low-Cost Robot Positioning System for a First-Year Engineering Cornerstone Design Project

Conference Session: Innovative Teaching
Collection: 2016 ASEE Annual Conference & Exposition
Authors: David J. Frank, The Ohio State University; Kevin J. Witt, The Ohio State University; Chris Hartle; Jacob J. Enders, The Ohio State University; Veronica Beiring, The Ohio State University; Richard J. Freuler, The Ohio State University
Tagged Topics: Diversity
Tagged Divisions: Computers in Education

. Figure 4. Image of the main circuit board of the Proteus robot controller. The front is pictured in (a) and the back pictured in (b).In order to have individual communication, the XBee receivers in each controller and the XBeetransmitters on each course section must be paired to the same channel. Since there are twocourses each with 4 course sections, there are 8 different static transmit addresses whichbroadcast robot positional data and course objective information. When a robot is ready to run ona course section, the user must input what course section the robot is running on (the sections arelettered A-H which represent the 8 course sections). The robot controller then configures theXBee accordingly to listen to the

Relevance Score: 0.40865088

Teaching a First Course in Human-Robot Interaction

Conference Session: Course Development / Curriculum Development
Collection: 2015 ASEE Annual Conference & Exposition
Authors: Carlotta A. Berry, Rose-Hulman Institute of Technology
Tagged Topics: Diversity
Tagged Divisions: Computers in Education

Conga LineThe fourth lab was also based upon light sensing and required the students to implementBraitenberg vehicles. This was a demonstration of reactive control and creating photophobic andphotophilic animal-like behaviors based upon excitatory and inhibitory connections between thesensors and motors. Based upon the wiring connections, the robots would demonstrate love,aggression, fear, and explorer behaviors. The wiring and the lab demonstration images areshown in Figures 3 and 4. (a) (b) (c) (d) Figure 3: Valentino Braitenberg Vehicles Figure 4: Braitenberg Vehicles LabIn the fifth lab, the students were required

Relevance Score: 0.40457994

A Comparative Analysis of Student Performance and Face-to-Face Engineering Courses

Conference Session: Computers in Education 4 - Online and Distributed Learning 1
Collection: 2021 ASEE Virtual Annual Conference Content Access
Authors: Sunay Palsole, Texas A&M University; Jeff Chernosky, Texas A&M University; Randy McDonald, Texas A&M University Engineering
Tagged Topics: Diversity
Tagged Divisions: Computers in Education

/08923640701341679[12] J. Lee, “An exploratory study of effective online learning: Assessing satisfaction levels ofgraduate students of mathematics education associated with human and design factors of anonline course,” International Review of Research in Open and Distance Learning, vol. 15, no. 1,pp. 111–132, 2014, doi: 10.19173/irrodl.v15i1.1638[13] L. Chen and D. Ph, “A model for effective online instructional design,” LiteracyInformation and Computer Education Journal, vol. 6, no. 2, pp. 1551–1554, 2015.[14] P. Ralston-Berg, J. Buckenmeyer, C. Barczyk, and E. Hixon, “Students’ perceptions ofonline course quality: How do they measure up to the research?” Internet Learning Journal, vol.4, no. 1, pp. 38–55, 2015.[15] B. Thornton, J. Demps, and A. Jadav

Relevance Score: 0.39425373

Second Year of Using the Sidekick Basic Kit for TI LaunchPad with Elementary School Students

Conference Session: COED: Gamification and Introducing Students to Programming
Collection: 2018 ASEE Annual Conference & Exposition
Authors: Tara N. Kimmey, Colorado STEM Academy; Cameron H. G. Wright P.E., University of Wyoming; Thad B. Welch, Boise State University
Tagged Topics: Diversity
Tagged Divisions: Computers in Education

Ellbogen Meritorious Classroom Teaching Award (2012), the Tau Beta Pi WY-A Undergraduate Teaching Award (2011), the IEEE UW Student Branch’s Outstanding Professor of the Year (2005 and 2008), the UW Mortar Board ”Top Prof” award (2005, 2007, and 2015), the Outstanding Teaching Award from the ASEE Rocky Mountain Section (2007), the John A. Curtis Lecture Award from the Computers in Education Division of ASEE (1998, 2005, and 2010), and the Brigadier General Roland E. Thomas Award for outstanding contribution to cadet education (both 1992 and 1993) at the U.S. Air Force Academy. He is an active ABET evaluator and an NCEES PE exam committee member.Dr. Thad B. Welch, Boise State University Thad B. Welch, Ph.D., P.E

Relevance Score: 0.38761818

Introducing High-Performance Computing to Undergraduate Students

Conference Session: Software and Programming
Collection: 2016 ASEE Annual Conference & Exposition
Authors: Suxia Cui, Prairie View A&M University; Yonghui Wang, Prairie View A&M University; Lin Li, Prairie View A&M University; Xiaobo Peng, Prairie View A&M University; Bugrahan Yalvac, Texas A&M University
Tagged Topics: Diversity
Tagged Divisions: Computers in Education

, and ET Departments Category ECE CS ET Female 62 37 17 African American 211 101 48 Hispanic 15 9 4 Total 265 127 54Leveraging a NSF funded Major Research Instrumentation project, an IBM iDataPlex HPCcluster was purchased and resides on campus at the College of Engineering as shown in Figure 1(a). There are several ongoing projects related to embedded systems, most of them are roboticsrelated. Figure 1 (b) illustrates one embedded HPC platform. It is an unmanned

Relevance Score: 0.3853776

Use of Computer Coding to Teach Design in a Mechanics Course, Resulting in an Implementation of a Kinematic Mechanism Design Tool Using PYTHON

Conference Session: COED: Mechanical Engineering-related Topics
Collection: 2018 ASEE Annual Conference & Exposition
Authors: Peter L. Schmidt PE, University of Evansville; Philip Andrew Lax, University Of Evansville
Tagged Topics: Diversity
Tagged Divisions: Computers in Education

2016 2015 0.2 Normalized Frequency 0.15 0.1 0.05 0 0% 6% 11% 17% 22% 28% 33% 39% 44% 50% 56% 61% 67% 72% 78% 83% 89% 94% 100%Figure 4. Histogram of homework grades for two cohorts of students, normalized to sample size.Scores in the B and D range dropped, with a concomitant rise in A level work.Again, the data shown in Figure 5 are the individual scores on each examination for the entirecohort of students. 50 2015 2016 40 30 20 10 0 0% 10% 20% 30% 40

Relevance Score: 0.35186747

Student Dashboard for a Multi-agent Approach for Academic Advising

Conference Session: Teaching and Advising Tools Using Computers and Smart Devices
Collection: 2016 ASEE Annual Conference & Exposition
Authors: Oscar Antonio Perez, University of Texas - El Paso; Virgilio Ernesto Gonzalez, University of Texas - El Paso
Tagged Topics: Diversity
Tagged Divisions: Computers in Education

10 29 48 16 Other 1 6 10 59 Table 1. Results from question 1Question 2 was the following: “What type of advising would you prefer? a) I would like a manual system where I make an appointment and go to and advisor to get help with the pre-requisites and coorequisites of the classes that I plan to take. b) I would like an electronic system that is running 24/7 and helps me with the pre- requisites and coorequisites of the classes that I am planning to take as well as provides additional information such as success rates of the classes I plan to take to

Relevance Score: 0.35059667

Partnering to Develop Educational Software Applications: A Four-year Retrospective Study

Conference Session: The Best of Computers in Education
Collection: 2018 ASEE Annual Conference & Exposition
Authors: David Reeping, Virginia Tech; John K. Estell, Ohio Northern University
Tagged Topics: Diversity
Tagged Divisions: Computers in Education

. Englewood Cliffs, N.J.: Prentice-Hall, 1984.2. "EPICS", EPICS - Purdue University, 2018. [Online]. Available: https://engineering.purdue.edu/EPICS. [Accessed: 25 Jan. 2018].3. W. C. Oakes, E. J. Coyle, and L. H. Jamieson, "EPICS: A Model Of Service Learning In An Engineering Curriculum," in Proceedings of the 2000 ASEE Annual Conference & Exposition, 18-21 June 2000, St. Louis, MO [Online]. Available: ASEE Conferences, https://peer.asee.org/8361. [Accessed: 25 Jan. 2018].4. "Home - Engineers Without Borders USA," Engineers Without Borders USA, 2018. [Online]. Available: https://www.ewb-usa.org/. [Accessed: 25 Jan. 2018].5. B. Jaeger and E. LaRochelle, "EWB (2)-Engineers Without Borders: Educationally, a

Relevance Score: 0.34999552

Using a Pedagogical Agent to Support Students Learning to Program

Conference Session: Computers in Education Division Technical Session 9: Pedagogical Tools
Collection: 2020 ASEE Virtual Annual Conference Content Access
Authors: Dylan Keifer Finch, Virginia Tech; Stephen H. Edwards, Virginia Tech
Tagged Topics: Diversity
Tagged Divisions: Computers in Education

man and machine," Communications of the ACM, vol. 9, pp. 36-45, 1966.[12] D. Fossati, B. Di Eugenio, S. Ohlsson, C. Brown and L. Chen, "Data driven automatic feedback generation in the iList intelligent tutoring system," Technology, Instruction, Cognition and Learning, vol. 10, pp. 5-26, 2015.[13] G. Biswas, K. Leelawong, D. Schwartz, N. Vye and The Vanderbilt Teachable Agents Group, "Learning by teaching: A new agent paradigm for educational software," Applied Artificial Intelligence, vol. 19, pp. 363-392, 2005.[14] S. Brophy, G. Biswas, T. Katzlberger, J. Bransford and D. Schwartz, "Teachable agents: Combining insights from learning theory and computer science," in Artificial intelligence in education, 1999.[15

Relevance Score: 0.34806085

Design of a Modular Educational Robotics Platform for Multidisciplinary Education

Conference Session: The Best of Computers in Education
Collection: 2018 ASEE Annual Conference & Exposition
Authors: Zhen Wei; Carlotta A. Berry, Rose-Hulman Institute of Technology
Tagged Topics: Diversity
Tagged Divisions: Computers in Education

robotics learning environment: what Mindstorms and DARPA urban challenge have in common.", ASEE Computers in Education Journal 1.3 (2010): 32-39.[12] Weinberg, Jerry B., et al. "A multidisciplinary model for using robotics in engineering education." Proceedings of the 2001 American Society of Engineering Education Annual Conference and Exposition, Albuquerque, New Mexico, June 24-27, 2001.[13] Weinberg, Jerry B., and Xudong Yu. "Robotics in education: Low-cost platforms for teaching integrated systems." IEEE Robotics & Automation Magazine 10.2 (2003): 4-6.[14] White, W., et al. "Assessing an interdisciplinary robotics course." Proceedings of the 2005 American Society of Engineering Education Annual Conference and

Relevance Score: 0.34806085

Coding the Coders: A Qualitative Investigation of Students’ Commenting Patterns

Conference Session: COED: Issues Impacting Students Learning How to Program
Collection: 2018 ASEE Annual Conference & Exposition
Authors: Mahnas Jean Mohammadi-Aragh, Mississippi State University; Phyllis J. Beck, Mississippi State University; Amy K. Barton, Mississippi State University; Donna Reese, Mississippi State University; Bryan A. Jones, Mississippi State University; Monika Jankun-Kelly, Mississippi State University
Tagged Topics: Diversity
Tagged Divisions: Computers in Education

Paper ID #21923Coding the Coders: A Qualitative Investigation of Students’ CommentingPatternsDr. Mahnas Jean Mohammadi-Aragh, Mississippi State University Dr. Jean Mohammadi-Aragh is an assistant professor in the Department of Electrical and Computer En- gineering at Mississippi State University. Dr. Mohammadi-Aragh investigates the formation of engineers during their undergraduate degree program, and the use of computing to measure and support that forma- tion. She earned her Ph.D. in Engineering Education from Virginia Tech. In 2013, Dr. Mohammadi-Aragh was honored as a promising new engineering education researcher when

Relevance Score: 0.34729704

An Empirical Study of Face-to-Face and Distance Learning Sections of a Core Telecommunication Course

Conference Session: Online Teaching
Collection: 2015 ASEE Annual Conference & Exposition
Authors: Omaima Almatrafi, George Mason University; Khondkar Islam; Aditya Johri, George Mason University; Karthik Nagappan, George Mason University; Aref Modanlu, George Mason University
Tagged Topics: Diversity
Tagged Divisions: Computers in Education

, and final exam. During the semester,there were 6 home assignments that totaled 30% of the course grade, two midtermexams, two quizzes which were mix of multiple choice, short answer, and essayquestions (30% weight for two midterms, and 20% for both quizzes), and the finalexam (20% of course grade), which was also a mixture of questions similar to themidterm exams.Research questions: A. Is there a correlation between the students’ demographics and their performance? B. How did the students perform in distance learning and F2F sections? Is there a significant difference in the outcome (course grade)?4. Analysis and ResultsA. Demographics correlation with course gradeThe data used to determine whether there is a correlation between

Relevance Score: 0.29791337

Work-in-Progress: Statistics Components in a Circuits Laboratory for ECE Sophomores

Conference Session: Computers in Education Engineering Division Poster Session
Collection: 2015 ASEE Annual Conference & Exposition
Authors: Steve E. Watkins, Missouri University of Science & Technology; Theresa Mae Swift, Missouri University of Science & Technology; Amardeep Kaur, Missouri University of Science and Technology, Rolla MO
Tagged Topics: Diversity
Tagged Divisions: Computers in Education

analysis directly to a topic relevant their electrical or computer engineering courses,and to introduce the student to computer aids for data analysis. With this sophomore-levelbackground, further integration may be facilitated through future curricula developments. Suchcurricula components address various ABET assessment outcomes, e.g. “a) an ability to applyknowledge of mathematic, science, and engineering; b) an ability to design and conductexperiments, as well as to analyze and interpret data; and k) an ability to use the techniques,skills, and modern engineering tools necessary for engineering practice.” Also, the ABETprogram criteria for ECE explicitly note probability and statistics content1.The circuit analysis laboratory (Electrical

Relevance Score: 0.29753932

Case Study-Based Educational Tools for Teaching a Software V&V Course at the Undergraduate Level

Conference Session: Software and Programming
Collection: 2015 ASEE Annual Conference & Exposition
Authors: Priya Manohar, Robert Morris University; Sushil Acharya, Robert Morris University; Peter Y. Wu, Robert Morris University; Ali A. Ansari, Virginia State University; Walter W. Schilling Jr., Milwaukee School of Engineering
Tagged Topics: Diversity
Tagged Divisions: Computers in Education

outcomes of testing such as feature not working, expectedBugs Revealed results not observed, missing or inaccessible features (optional field) Figure 1. Test case development template.The benefits of developing the template for a case study are twofold: (a) template provides astandardized way to document the background information, description and objectives of casestudies and (b) facilitates identification of any missing information or gaps of knowledge for the Page 26.332.6students as they attempt to solve the questions based on the case study. This allows improvingthe description contained in the case study

Relevance Score: 0.29659602

A Blocks-based Visual Environment to Teach Robot-Programming to K-12 Students

Conference Session: Best of Computers in Education
Collection: 2015 ASEE Annual Conference & Exposition
Authors: Raghavender Goud Yadagiri, NYU Polytechnic School of Engineering; Sai Prasanth Krishnamoorthy, NYU Polytechnic School of Engineering; Vikram Kapila, NYU Polytechnic School of Engineering
Tagged Topics: Diversity
Tagged Divisions: Computers in Education

Figure 4(a),which was used to produce various parts and components using a MakerBot 3D printer. Ourlegged robot utilizes the Arduino board with an AtMega328 microcontroller. The Atmega328microcontroller allows the user to add multiple sensors and actuators to the robot. The robot alsohouses a Raspberry Pi, which acquires commands from the user via a network connection andsends serial commands to the on-board Arduino. See Figure 4(b) for the fully assembled leggedrobot. Once the server running on the Raspberry Pi receives the user’s C-code, it commands theArduino via UART serial communication protocol. Upon receiving serial messages relating tothe robot motion, the Arduino board executes the motion sequence to appropriately control theservo

Relevance Score: 0.29561356

Impact of an Online Learning Environment on Student Performance and Perceptions in a Fluid Mechanics Course

Conference Session: The Best of the Computers in Education
Collection: 2017 ASEE Annual Conference & Exposition
Authors: Paul Morrow Nissenson, California State Polytechnic University, Pomona; Faye Linda Wachs, California Polytechnic State University, Pomona; Juliana Lynn Fuqua, California State Polytechnic Pomona University; Yitong Zhao, California State Polytechnic University Pomona; Sofia Pedroza, University of California, Irvine; Angela C. Shih, California State Polytechnic University, Pomona
Tagged Topics: Diversity
Tagged Divisions: Computers in Education

enrollment and high repeatrates. Table 1 shows that among the 3337 students enrolled in ME 311 during Fall 2007 toSummer 2014, 34% received a D, F, or withdrew (W).Table 1: Grade distribution for ME 311 students from Fall 2007 to Summer 2014 Grade Number of students A 302 (9%) B 658 (20%) C 1233 (37%) D/F/W 1144 (34%)A possible contributing factor to the bottleneck is the pedagogical approach. Prior to theredesign, instructors used a traditional lecture format and class time was divided betweenderivations, conceptual explanations, example problems, and assessments. Anecdotally, studentsreport that example problems are the most interesting part of the course, with derivations beingthe

Relevance Score: 0.29457784

Implications of Gamification in Learning Environments on Computer Science Students: A Comprehensive Study

Conference Session: Technical Session 11: Topics related to Computer Science
Collection: 2019 ASEE Annual Conference & Exposition
Authors: Leila Zahedi, Florida International University; Monique S Ross, Florida International University; Jasmine Skye Batten, Florida International University
Tagged Topics: Diversity
Tagged Divisions: Computers in Education

the realm of computer scienceeducation directed at women is logical. 13References:AAUW, T. S. (2000). Educating girls in the new computer age. American Association ofUniversity Women Educational Foundation, Washington, DC, USA.Ahuja, M. K., & Thatcher, J. B. (2005). Moving beyond intentions and toward the theory of trying:Effects of work environment and genderAshcraft, C., Eger, E., & Friend, M. (2012). Girls in iT: the facts. National Center for Women &IT. Boulder, CO.Azmi, S., Iahad, N. A., & Ahmad, N. (2015). Gamification in online collaborative learning forprogramming courses: A literature review. ARPN Journal of Engineering

Relevance Score: 0.29412815

Worldwide Digital Design Contest: A Decade of Development and Success Developing Students’ Hardware and Software Skills

Conference Session: General Technical Session
Collection: 2015 ASEE Annual Conference & Exposition
Authors: Mihaela Radu, SUNY Farmingdale State College; Clint S. Cole, Digilent, Inc.; Mircea Alexandru Dabacan, Technical University of Cluj-Napoca; Monica Ignat Bot, Digilent; Alex Wong, Digilent, Inc.; Joe Harris, Digilent, Inc.
Tagged Topics: Diversity
Tagged Divisions: Computers in Education

attributes of a good competition 4: a) incorporates significant course material from more than one discipline; b) provides success commensurate with care in design; c) requires increasing factual and procedural knowledge; d) requires exercising engineering judgment; e) does not require significant infrastructure; f) offers a spectacle;Academia and industry join forces to organize various design contests, from the course level 4, tothe international levels, giving students opportunities to grow professionally and to connect withtheir peers and potential employers. In the area of electrical and computer engineering andrelated majors, very popular contests are the contests sponsored by IEEE10. IEEE offers a varietyof

Relevance Score: 0.29361388

Computational Thinking: A Pedagogical Approach Developed to Prepare Students for the Era of Artificial Intelligence

Conference Session: Computers in Education 7 - Modulus 2
Collection: 2021 ASEE Virtual Annual Conference Content Access
Authors: Gulustan Dogan, University of North Carolina Wilmington; Yang Song, University of North Carolina Wilmington; Damla Surek, Yildiz Technical University
Tagged Topics: Diversity
Tagged Divisions: Computers in Education

patternrecognition are introduced in Pattern Recognition Module, as seen in Figure 2a. Abstraction is theprocess of filtering out, or ignoring, the characteristics of patterns that are not needed in order toconcentrate on those that are. Abstraction is also introduced as a module, as seen in Figure (a) Introduction page (b) Decomposition page Figure 12b. (a) Pattern Recognition page (b) Abstraction page Figure 2In CT, we refer to a step-by-step set of instructions as algorithms. An algorithm is a step-by-steplist of instructions that, if followed exactly, will solve the problem under

Relevance Score: 0.29354003

A Virtual Laboratory System with Biometric Authentication and Remote Proctoring Based on Facial Recognition

Conference Session: Online, Hybrid, and other Virtual Learning Environments
Collection: 2016 ASEE Annual Conference & Exposition
Authors: Zhou Zhang, Stevens Institute of Technology (School of Engineering and Science); Mingshao Zhang, Stevens Institute of Technology (School of Engineering and Science); Yizhe Chang, Stevens Institute of Technology (School of Engineering and Science); Sven K. Esche, Stevens Institute of Technology (School of Engineering and Science); Constantin Chassapis, Stevens Institute of Technology (School of Engineering and Science)
Tagged Topics: Diversity
Tagged Divisions: Computers in Education

, 2016 Zhang, Z., Zhang, M., Chang, Y., Esche, S. K. & Chassapis, C.[29] Proctor, R. W., Lien, M. C., Salvendy, G. & Schultz, E. E., 2000, “A task analysis of usability in third-party authentication”, Information Security Bulletin, Vol. 5, No. 3, pp. 49-56.[30] https://facedetection.com/, accessed in January, 2016.[31] Panigrahy, M. P. & Kumar, N., 2012, “Face recognition using genetic algorithm and neural networks”, International Journal of Computer Applications, Vol. 55, No. 4, pp. 8-12.[32] Hjelmås, E. & Low, B. K., 2001, “Face detection: A survey”, Computer Vision and Image Understanding, Vol. 83, No. 3, pp. 236-274.[33] Menezes, P., Barreto, J. C. & Dias, J

Relevance Score: 0.2915052

Implementation of a 3D Interactive Mobile App for Practicing Engineering Laboratory Experiment

Conference Session: COED: Mechanical Engineering-related Topics
Collection: 2018 ASEE Annual Conference & Exposition
Authors: Shuo Ren, Old Dominion University; Zelin Zhu, Old Dominion University; Rick McKenzie, Old Dominion University; Yuzhong Shen, Old Dominion University
Tagged Topics: Diversity
Tagged Divisions: Computers in Education

compatible – we need to expand this app on other mobile platforms (iOS, WindowsMobile) to cater iPhone and Windows phone users , (ii) conducting a survey to evaluate theusability of this mobile app (planned for Spring 2018), and lastly (iii) comparing the study resultsfrom mobile app with the results from other VR platforms that we have studied such as theCAVE and the 3D TV.8 References[1] T. Abdel-Salam, P. J. Kauffman, and G. Crossman, "Does the lack of hands-on experience in a remotely delivered laboratory course affect student learning?," European Journal of Engineering Education, vol. 31, no. 6, pp. 747-756, 2006/12/01 2006.[2] B. Jackson. (2015). What is Virtual Reality? Definition and Examples. Available: http

Relevance Score: 0.29077795

Work-in-Progress: Student Dashboard for a Multi-agent Approach for Academic Advising

Conference Session: Computers in Education Engineering Division Poster Session
Collection: 2015 ASEE Annual Conference & Exposition
Authors: Virgilio Ernesto Gonzalez, University of Texas, El Paso; Oscar Antonio Perez, University of Texas, El Paso
Tagged Topics: Diversity
Tagged Divisions: Computers in Education

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

Relevance Score: 0.2905284

Re-engineering an "Introduction to Computing" Course within a College-Wide Community of Practice

Conference Session: Course Development / Curriculum Development
Collection: 2015 ASEE Annual Conference & Exposition
Authors: Wade Fagen-Ulmschneider, University of Illinois, Urbana-Champaign; Cinda Heeren, University of Illinois, Urbana-Champaign; Geoffrey L. Herman, University of Illinois, Urbana-Champaign; Matthew West, University of Illinois, Urbana-Champaign
Tagged Topics: Diversity
Tagged Divisions: Computers in Education

model: (a) pre-lecture contentpresentation and practice problems, (b) active learning exercise during in-class lectures, (c)collaborative, context-rich problem solving lab sections, and (d) a programming assignment tocomplete on their own. These elements were initially developed in other courses redesigned byother members of the WIDER community, providing inspiration and guidance from within thecommunity of practice. To scale the course, the course makes use technological innovations that allow for high-quality, automated feedback on assignments. Along with the technology, the course is staffedwith a large group of former students who serve as undergraduate course assistance. Whileevery interaction is still lead by an instructor or