Conference Session

COED: Online and Blended Learning Part 2

Collection

2018 ASEE Annual Conference & Exposition

Authors

Luke S. Lee P.E., University of the Pacific; Hector Estrada, University of the Pacific; Mehdi Khazaeli, University of the Pacific

Tagged Divisions

Computers in Education

Paper ID #22459Student and Instructor Perceptions of Online Engineering Education VideosDr. Luke S. Lee P.E., University of the Pacific Luke Lee is Professor of Civil Engineering at the University of the Pacific, where he teaches courses in structural mechanics and structural design and conducts research in infrastructure renewal, structural health monitoring, and durability of composite materials.Dr. Hector Estrada, University of the Pacific Hector Estrada is currently Professor of Civil Engineering at University of the Pacific; a position he has held since August 2006. Prior to joining Pacific, Professor Estrada was

Conference Session

COED: Mechanical Engineering-related Topics

Collection

2018 ASEE Annual Conference & Exposition

Authors

Zhou Zhang, New York City College of Technology; Andy S. Zhang, New York City College of Technology; Mingshao Zhang, Southern Illinois University, Edwardsville; Sven K. Esche, Stevens Institute of Technology

Tagged Divisions

Computers in Education

Paper ID #22004Conceptual Framework for Integrating a Wireless Sensor and Control Net-work into a Robotics Course for Senior Students of Mechanical EngineeringTechnologyDr. Zhou Zhang, New York City College of Technology Assistant Professor, Ph.D. Department of Mechanical Engineering Technology, CUNY New York City College of Technology, 186 Jay St, Brooklyn, NY 11201. Email: ZhZhang@citytech.cuny.eduDr. Andy S. Zhang, New York City College of Technology Dr. Andy S. Zhang received his Ph.D. from the City University of New York in 1995. He is currently the program director of a mechatronics project in the New York City College of

Conference Session

COED: EE Topics

Collection

2018 ASEE Annual Conference & Exposition

Authors

Afsaneh Minaie, Utah Valley University; Ephraim Nielson, Utah Valley University

Tagged Divisions

Computers in Education

system, will be based on a 2’s compliment numbering system where the concatenationof the sign bit and the 23 bits of the fraction, {S, F [22:0]}, make up a 2’s compliment numberwith a value between -110 and 0.9999998807907104492187510. Figure 2 – IEEE 754 protocol for single-precision floating point numbers [12].The exponent of the floating-point number, in contrast to IEEE’s exponent format, is also basedon 2’s compliment numbers and falls between a range of -128 and 127. Thus, the range of numbersallowed to be represented using this floating-point numbering system is -1.701412 x 103810 to1.701412 x 103810 with a resolution of 3.50325 x 10-4610. This give a level of accuracy that is veryprecise compared to fixed-point numbers

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

code for creation and analysis of a cam profile.%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%Program Name: CamAnalysis%%Program Description: Analyzes and Creates Cam Profile%%Inputs: Number of Zones and the Parametersassociated with% each%%Outputs: S,V,A,J Curves, Force, Power, Torque,Pressure Angle,% and Cam Profile Plots. Tabular Data Sets.Max Values.%%Date Created: 11-5-2016%%Revisions:%%0) 11-5-2016 Creation%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%clearclc%Parameters%s_harmonic = @(h,theta,Beta,Beta_time) h/2*(1-cos(pi*theta/Beta));v_harmonic = @(h,theta,Beta,Beta_time)pi*h/2/Beta_time

Conference Session

COED: Online and Blended Learning Part 1

Collection

2018 ASEE Annual Conference & Exposition

Authors

Taylor V. Williams, Purdue University, West Lafayette; Kerrie A. Douglas, Purdue University, West Lafayette; Tarun Yellamraju, Purdue University, West Lafayette; Mireille Boutin, Purdue University, West Lafayette

Tagged Topics

Diversity

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Computers in Education

Group 2 identified by applying the separation criteria RV249 and RV242). Note that while eachof these separation criteria identifies distinct groups, the group characteristics are very different. (a) (b) (c) Figure 3: For course 1’s top two separation criteria (RV249 and RV242 shown in (a) and (c), respectively), the response pattern statistics for the applied science course result in distinct response groups (labeled Group 1 and Group 2, matching the labels from Figure 2). The dimensions that are unaffected by the criteria (i.e., personal interest and university application for RV249; fit with lifestyle for RV242) remain consistent (within

Conference Session

COED: Online and Blended Learning Part 1

Collection

2018 ASEE Annual Conference & Exposition

Authors

Swaroop Joshi, Ohio State University; Neelam Soundarajan, Ohio State University; Jeremy Morris, Ohio State University

Tagged Divisions

Computers in Education

graded homeworks are returned to thestudents. The class discussion helps some students, but others remain unclear about the distinctionsbetween the notions of domain, problem in the domain context, and solution. The key questionthat motivated our work was, how do we help students overcome such misconceptions and developdeep understanding?In the CONSIDER approach, following the lecture(s) on the topic, the instructor would post thehomework on the CONSIDER system. The instructor will also specify a deadline by which eachstudent will be required to submit her answer. The homework may be similar to the one abovebut, for this discussion, we assume there is only one question, item (3) from the example. Oncethe instructor has posted the homework, each

Conference Session

Computers in Education Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Dazhi Yang, Boise State University; Steve R. Swasnon; Bhaskar B. C. Chittoori, Boise State University; Youngkyun Baek, Boise State University

Tagged Divisions

Computers in Education

; discussion; discussion; decomposition, between group between group testing; communication discussion discussion; try to identifying an etc.) see what works issue(s); reprogramming; retesting (physical actions) Endorsed What does a robot Think about the Talk about ideas; narrative do; what are the blocks you can what we are (abstraction, data parts or pieces

Conference Session

Computers in Education Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Wen Huang, Arizona State University, Polytechnic campus

Tagged Divisions

Computers in Education

, after allplayers push the start button respectively, they can start to assemble. In the team-work mode, allthe players can synchronously see the work of other avatars from a first-person view. Anembedded clock is used to record the time that player(s) complete the assembly task. Researchersin the engineering education and the automotive fields will be invited to examine the validity ofthe application, and whether the quiz designed in the questionnaires can correctly reflectstudents’ knowledge gains in automotive assembly after students participate in the virtualassembly task.Data Collection All recruited students will be randomly assigned into 4-member teams and all the teamswill be evenly assigned into one of the two experimental

Conference Session

Computers in Education Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Edward F. Gehringer, North Carolina State University; Ferry Pramudianto, North Carolina State University ; Abhinav Medhekar, North Carolina State University; Chandrasekar Rajasekar, North Carolina State University; Zhongcan Xiao, North Carolina State University

Tagged Divisions

Computers in Education

level of difficultyencountered by an author, in the same way that strength-of-schedule ratings are used indetermining rankings of FBS teams in college football.Most reputation systems [7–9] also include a measure for “spread,” the degree to which aparticular reviewer rates different work differently. Suppose the average rating for all students is4 on a scale of 1 to 5. Then a reviewer who answers “4” to every rubric item on every reviewmight well be close to the average score received by each author. But that reviewer would not bevery credible, because (s)he failed to distinguish between the quality of different pieces of work.So reviewers are given more credence if they have a higher spread.2.3 Rejoinders, or “back-reviews.” Just as reviewers

Conference Session

Computers in Education Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Matthew Nelson, Iowa State University; Benjamin Ahn, Iowa State University

Tagged Divisions

Computers in Education

, M. Besterfield-Sacre, and J. Mcgourty, “The ABET “Professional Skills” - Can they be taught? Can they be assessed?” Journal of Engineering Education, vol. 94, no. 1, pp. 41–55, 2005. [3] K. M. Yusof, A. N. Sadikin, F. A. Phang, and A. A. Aziz, “Instilling professional skills and sustainable development through Problem-Based Learning (PBL) among first year engineering students,” International Journal of Engineering Education, vol. 32, no. 1, B, SI, pp. 333–347, 2016. [4] A. Mohan, D. Merle, C. Jackson, J. Lannin, and S. S. Nair, “Professional skills in the engineering curriculum,” IEEE Transactions on Education, vol. 53, no. 4, pp. 562–571, 2010. [5] J. A. Baughman, T. J. Brumm, and S. K. Mickelson, “Student professional

Conference Session

COED: IOT and Cybersecurity

Collection

2018 ASEE Annual Conference & Exposition

Authors

David Border, Bowling Green State University

Tagged Divisions

Computers in Education

sometimes necessary when interacting with a user-operator. system(“sudo -u odroid mplayer -loop 0 -playlist Start mplayer. Play audio stream from given http:// (etc., etc.)”); URL. Loop on “reconnect” if connection is lost. system(“killall -9 mplayer&”); Kill any instance of a mplayer system(“sudo – u odroid pianobar&”); Start pandora application (run in background) system(“sudo -u odroid echo -n ‘s’ Send command to pandora control file to force >/home/odroid/.config/pianobar/ctl&”); change of station dialog. system(“sudo -u odroid echo ‘0’ Send command to pandora control file

Conference Session

Computers in Education Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Fadi Castronovo, California State University, East Bay; Semih Yilmaz, California State University, East Bay; Akarsh Rao, Immersive and Interactive Research Group; Walter Condori Jr., California State University, East Bay; Karan Monga, STEM Educational Gaming Research Group; Hadiseh Gooranorimi, California State University, East Bay

Tagged Divisions

Computers in Education

3/18/18, 4:45 PMWork-in-Progress: Development of a Virtual Reality Educational Game for Waste Management: Attack of the Recyclops1. Introduction Negative impacts of human consumption and waste on the natural environment is a long-researched topic, which led the international scientific confidence in the human-influencedclimate change to reach its highest point (95-100% likelihood) in 2014 [1]–[6]. A significantreason for this impact is the fact that much of the waste ends in landfills, rather than recyclingfacilities. U.S. Environmental Protection Agency (EPA)’s most recent report shows that morethan 50% of the 259-million-ton municipal solid waste (MSW) goes to landfills [7]. This waste,in turn, rots and produces the

Conference Session

Computers in Education Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Ting-Ting Wu, National Yunlin University of Science and Technology; Yueh-Min (Ray) Huang, National Cheng Kung University; Pei-Yu Cheng, National Cheng Kung University

Tagged Divisions

Computers in Education

predictive model to guidelearners with low creativity to exchange ideas with other students and improve theircreative thinking skills.This study is ongoing and will evaluate the stability and accuracy of the predictivemodel in the future. Moreover, a more in-depth investigation will be performed toexamine different personality traits and learning behaviors.AcknowledgementsThis work was supported in part by the Ministry of Science and Technology (MOST),Taiwan, ROC, under Grant MOST 103-2511-S-224 -004 -MY3, MOST 104-2511-S-224-003-MY3, and MOST 105-2628-S-224-001-MY3.Reference[1]. E. P. Torrance, Education and the creative potential. Minneapolis: University of Minnesota Press, 1963.[2]. J. P. Guilford, "Creativity," American Psychologist, vol. 5

Conference Session

COED: IOT and Cybersecurity

Collection

2018 ASEE Annual Conference & Exposition

Authors

Alan Jones, Indiana University-Purdue University of Indianapolis; Michael Golub, Indiana University-Purdue University of Indianapolis

Tagged Divisions

Computers in Education

feasible and would be accepted by the students.References[1] A. Jones, “Evaluation of Canvas-Based Online Homework for Engineering,” presented at the 2017 ASEE Annual Conference & Exposition, 2017.[2] A. Striegel, “Distance education and its impact on computer engineering laboratories,” in Frontiers in Education Conference, 2001. 31st Annual, 2001, vol. 2, p. F2D–4.[3] S. H. Johnson, W. L. Luyben, and D. L. Talhelm, “Undergraduate interdisciplinary controls laboratory,” J. Eng. Educ., vol. 84, no. 2, pp. 133–136, 1995.[4] D. J. Olinger and J. C. Hermanson, “Integrated Thermal-Fluid Experiments in WPI’s Discovery Classroom,” J. Eng. Educ., vol. 91, no. 2, pp. 239–243, 2002.[5] A. M. Okamura, R. Christopher, and M. R. Cutkosky

Conference Session

The Best of Computers in Education

Collection

2018 ASEE Annual Conference & Exposition

Authors

Joe Michael Allen, University of California, Riverside; Frank Vahid, University of California, Riverside; Kelly Downey, University of California, Riverside; Alex Daniel Edgcomb, Zybooks

Tagged Divisions

Computers in Education

automatedassessment by increasing marking granularity and feedback units," ​ACM Technical Symposiumon Computer Science Education​, pp. 9-14, 2014.[12] S. Findlay-Thompson and P. Mombourquette, "Evaluation of a Flipped Classroom in anUndergraduate Business Course," ​Business Education & Accreditation​, v. 6 (1) p. 63-71, 2014.[13] M.B. Gilboy, S. Heinerichs, G. Pazzaglia, "Student Engagement Using the FlippedClassroom," ​Journal of Nutrition Education and Behavior​, 47(1), 109–114, 2014.[14] M. Guzdial, "A Media Computation Course for Non-Majors," ​ITiCSE annual conference onInnovation and technology in computer science education​, pp. 104-108, 2003.[15] D. Hendrix, L. Myneni, H. Narayanan, M. Ross, "Implementing studio-based learning inCS2," ​ACM

Conference Session

COED: Gamification and Introducing Students to Programming

Collection

2018 ASEE Annual Conference & Exposition

Authors

Katherine Smith, Old Dominion University; Yuzhong Shen, Old Dominion University; Anthony W. Dean, Old Dominion University

Tagged Divisions

Computers in Education

diegesis.Acknowledgment. This work was supported by the Office of Naval Research STEM under ONRGRANT11899718.References[1] J. Schell, The art of game design : a book of lenses, 2nd ed. CRC Press, 2014.[2] T. Fullerton, Game Design Workshop. 2008.[3] J. Y. Douglas and A. Hargadon, “The pleasures of immersion and engagement : schemas , scripts and the fifth business,” Digit. Creat., 2001.[4] C. Murphy, “Why games work — the science of learning,” Modsim World 2011, 2011.[5] S. De Freitas and M. Oliver, “How can exploratory learning with games and simulations within the curriculum be most effectively evaluated?,” Comput. Educ., 2006.[6] N. R. Prestopnik and J. Tang, “Points, stories, worlds, and diegesis: Comparing player experiences in

Conference Session

Computers in Education Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Stephen Andrew Wilkerson P.E., York College of Pennsylvania; Stephen Andrew Gadsden, University of Guelph; Andrew Lee, University of Guelph; Robert Nicholas Vandemark; Elyse Hill; Amy Domenique Gadsden, University of Alberta

Tagged Divisions

Computers in Education

. His team deployed a bomb finding robot named the LynchBot to Iraq late in 2004 and then again in 2006 deployed about a dozen more improved LynchBots to Iraq. His team also assisted in the deployment of 84 TACMAV systems in 2005. Around that time he volunteered as a science advisor and worked at the Rapid Equipping Force during the summer of 2005 where he was exposed to a number of unmanned systems technologies. His initial group composed of about 6 S&T grew to nearly 30 between 2003 and 2010 as he transitioned from a Branch head to an acting Division Chief. In 2010-2012 he again was selected to teach Mathematics at the United States Military Academy West Point. Upon returning to ARL’s Vehicle Technology

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

://www.marxentlabs.com/what-is-virtual-reality-definition-and-examples/[3] S. Ren et al., "Design and Comparison of Immersive Interactive Learning and Instructional Techniques for 3D Virtual Laboratories," Presence: Teleoperators and Virtual Environments, vol. 24, no. 2, pp. 93-112, 2015/05/01 2015.[4] M. Limniou, D. Roberts, and N. Papadopoulos, "Full immersive virtual environment CAVE in chemistry education," Comput. Educ., vol. 51, no. 2, pp. 584-593, 2008.[5] N. Shanku, G. Sharko, and E. Prifti, "Toward Virtual – Real Laboratory on Electric Power System Engineering Courses A Successful Experience," International Journal of Pure and Applied Sciences and Technology, vol. 4, no. 2, pp. 85-97, 2011.[6] S. Amirkhani and

Conference Session

COED: Online and Blended Learning Part 2

Collection

2018 ASEE Annual Conference & Exposition

Authors

Nebojsa I. Jaksic, Colorado State University, Pueblo

Tagged Divisions

Computers in Education

Hall, Englewood Cliffs, N.J., 1984.[5] J. N. Harb, S. O. Durrant, and R. E. Terry, ”Use of the Kolb Learning Cycle and the 4MAT System in Engineering in Education,” Journal of Engineering Education, Vol. 82, April 1993, pp. 70-77.[6] J. N.Harb, R. E. Terry, P. K. Hurt, and K. J. Williamson, Teaching Through the Cycle: Application of Learning Style Theory to Engineering Education at Brigham Young University, 2nd Edition, Brigham Young University Press, 1995.[7] L. E. Ortiz and E. M. Bachofen, “An Experience in Teaching Structures in Aeronautical, Mechanical and Civil Engineering, Applying the Experimental Methodology,” 2001 American Society for Engineering Education Annual Conference & Exposition

Conference Session

COED: Issues Impacting Students Learning How to Program

Collection

2018 ASEE Annual Conference & Exposition

Authors

Petra Bonfert-Taylor, Dartmouth College; Alisan Oeztuerk, German Army; Ben Servoz, Dartmouth College

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

iteration, but we hope to start converging towards a new instructional modelthat better serves and retains a more diverse group of students, especially students fromunderprepared backgrounds.Traditionally, the first day of classes was spent attending to typical first-day-of-classhousekeeping business as well as speaking about hardware and software and introducing thebinary number system. Next came an introduction to Linux (since in order to minimizeinstallation issues and related troubleshooting, we have students program on our remote servers),more on binary numbers, including the 2’s complement representation, the hexadecimal numbersystem, etc. By the end of the first week of classes, the first program involving simple user input,a computation and

Conference Session

COED: Gamification and Introducing Students to Programming

Collection

2018 ASEE Annual Conference & Exposition

Authors

Mourya Reddy Narasareddy Gari, North Dakota State University; Gursimran Singh Walia, North Dakota State University; Alex Radermacher, North Dakota State University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

Paper ID #22813Using Gamification and Cyber Learning Environment to Improve Students’Learning in an Introductory Computer Programming Course: An EmpiricalCase StudyMrs. Mourya Reddy Narasareddy Gari, North Dakota State University I am Ph.D student at North Dakota State University. My research work is to see how different Learning strategies affect the student learning.Dr. Gursimran Singh Walia, North Dakota State University Gursimran S. Walia is an associate professor of Computer Science at North Dakota State University. His main research interests include empirical software engineering, software engineering education, human

Conference Session

COED: Gamification and Introducing Students to Programming

Collection

2018 ASEE Annual Conference & Exposition

Authors

Farzana Rahman, Florida International University

Tagged Divisions

Computers in Education

process. In future, we plan to offer these as regularcourses in affiliation with local schools where a K-12 teacher can take the role of the instructor.Finally, one week for each course did not seem to be sufficient to expose participants to manyimportant concepts of either AI2 or OOP. Hence, running the two course over an entire semesteror two consecutive semesters might allow instructors to cover more programming concepts whichare required to solve problems in the real world.8. REFERENCES[1]. S. Kurkovsky, “Making computing attractive for non-majors: a course design,” Journal of Computer.Science Coll. Vol.22, No. 3, pp. 90-97, Jan 2007.[2]. A. Forte and M. Guzdial, M”otivation and nonmajors in computer science: identifying discreteaudiences for

Conference Session

COED: Issues Impacting Students Learning How to Program

Collection

2018 ASEE Annual Conference & Exposition

Authors

Nabeel Alzahrani, University of California, Riverside; Frank Vahid, University of California, Riverside; Alex Daniel Edgcomb, zyBooks; Roman Lysecky, University of Arizona; Susan Lysecky, zyBooks

Tagged Divisions

Computers in Education

submission’s time. Note that this time may be anunderestimate, as the time doesn’t include the time the student spent reading the instructions anddeveloping the first submission. If two successive submissions are separated by at least 10minutes, we assume the student was perhaps taking a break (this is not a perfect measure but thebest we can do as we cannot directly observe the student), and thus we exclude that time fromthe total time. For every student (two are shown in Figure 2), such total time is computed. Wethen compute the average of the shortest 20% of such times to yield the baseline time. The sameapproach is done for the number of attempts per student. Figure 2: Definition of struggle rate for a particular CA.Figure 2’s

Conference Session

COED: Online and Blended Learning Part 2

Collection

2018 ASEE Annual Conference & Exposition

Authors

Michelle E. Jarvie-Eggart, Michigan Technological University; Amber Kemppainen, Michigan Technological University; Thomas M. Freeman M.Ed., Michigan Technological University

Tagged Divisions

Computers in Education

Analysis of Online Master’s Programs inEngineering." ​Proceedings of the 2011 Midwest Section Conference of the American Society forEngineering Education​. 2011.13. Pontes, Manuel CF, and Nancy MH Pontes. "Undergraduate students’ preference for distanceeducation by field of study." ​Online Journal of Distance Learning Administration​ 16.2 (2013):n2.14. Badjou, S. and R. Dahmani. “Current Status of Online Science and Engineering Education.”Journal of Online Engineering Education.​ Vol. 4, No.1, Article 3, 2013.15. Kowalski, Theodore J., Dolph, David Alan, and Young, Ila Phillip, ​"Student Motives forTaking Online Courses in Educational Administration"​ (2014). Educational Research Quarterly,Vol. 38, No. 1. pp. 27 - 42. September, 2014. Retrieved

Conference Session

Computers in Education Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Mourya Reddy Narasareddygari, North Dakota State University; Gursimran Singh Walia, North Dakota State University; Alex Radermacher, North Dakota State University; Otto Borchert, North Dakota State University

Tagged Divisions

Computers in Education

Paper ID #22817Evaluating Learning Engagement Strategies in a Cyber Learning Environ-ment during Introductory Computer Programming Courses – an EmpiricalInvestigationMrs. Mourya Reddy Narasareddygari I am Ph.D student at North Dakota State University. My research work is to see how different Learning strategies affect the student learning.Dr. Gursimran Singh Walia Gursimran S. Walia is an associate professor of Computer Science at North Dakota State University. His main research interests include empirical software engineering, software engineering education, human factors in software engineering, and software quality. He is a

Conference Session

COED: Online and Blended Learning Part 2

Collection

2018 ASEE Annual Conference & Exposition

Authors

Shuang Wei, Purdue University, West Lafayette ; Qingli Lei, Purdue University, West Lafayette; Yingjie Chen, Purdue University, West Lafayette; Yan Ping Xin, Purdue University, West Lafayette; Signe Kastberg, Purdue University, West Lafayette; Soojung Kim, Purdue University, West Lafayette

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

Future Prospects,” Encycl. Human-Computer Interact., pp. 211–219, 2005.[10] Y. P. Xin, S., Kastberg, and Y. J., Chen, Conceptual Model-based Problem Solving (COMPS): A Response-to-Intervention Program for Students with Learning Difficulties in Mathematics.National Science Foundation funded project.2015.[11] S. S. Zentall, Students with Mild Exceptionalities (Characteristtics and Applications). 2014.

Conference Session

COED: Online and Blended Learning Part 1

Collection

2018 ASEE Annual Conference & Exposition

Authors

Zelin Zhu; Yuzhong Shen, Old Dominion University; Cheng Y. Lin P.E., Old Dominion University; Shuo Ren, Old Dominion University; Katherine Smith, Old Dominion University; Anthony W. Dean, Old Dominion University

Tagged Divisions

Computers in Education

experiment, as learners have no opportunity to practice theskills they learned from the video. Another approach that holds great potential to enhancelaboratory experience for online education is the use of computer-based modeling and simulation(M&S) tools. Simulation based virtual laboratories emulate lab equipment and configurations inhighly realistic 3D environments and can deliver highly effective learning experiences.Computer-based modeling and simulation has been effectively used to model and simulate awide range of problems in a variety of fields, with particular success in science and engineering.For example, medical students and practitioners can safely perform surgeries on virtual patientsin a simulated environment to enhance their

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

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Computers in Education

] C.Watson, and F. W. Li. 2014. Failure rates in introductory programming revisited. In Proceedings of the 2014 conference on Innovation & technology in computer science education, 39-44.[2] R. Hoda and P. Andreae. 2014. It’s not them, it’s us! Why computer science fails to impress many first years. In Proceedings of the 16th Australasian Computing Education Conference, 158-162.[3] S. Bergin, R. Reilly and D. Traynor. 2005. Examining the role of self-regulated learning on introductory programming performance. In Proceedings of the First International Workshop on Computing Education Research, 81-86.[4] J. Emig. 1977. Writing as a mode of learning. College Composition and Communication, 28, 122-128.[5] E. Crowley. 2004

Conference Session

COED Modulus Topics

Collection

2018 ASEE Annual Conference & Exposition

Authors

Mike Borowczak, University of Wyoming; Andrea Carneal Burrows Borowczak, University of Wyoming

Tagged Divisions

Computers in Education

. Authentic inquiry focuses on student-centeredinvestigations/research/projects based on contextually-grounded real-world problems. The authors werespecifically interested in the types of projects students select, the number of students working in each typeof project, and the alignment of self-identified project types with project deliverables.Problem, Purpose, and Research QuestionIn STEM education there has been a push, starting within K12 in the 1990’s, from lecture, to hands-on, toinquiry, to authentic science learning (see literature review). While this pedagogical shift, based on priorresearch, is currently accepted at the K12 level, faculty at the university level still generally rely ontraditional lecture formats. The problem at the

Conference Session

COED: Autograding and Autoadvising

Collection

2018 ASEE Annual Conference & Exposition

Authors

Mike Thomas Pitcher, University of Texas, El Paso; Peter Golding, University of Texas, El Paso; Pedro Arturo Espinoza, University of Texas, El Paso; Crystal Fernandez-Pena, University of Texas, El Paso; Celena Arreola, The University of Texas, El Paso; Hugo Gomez, University of Texas, El Paso; Hector Erick Lugo Nevarez, University of Texas, El Paso; Randy Hazael Anaya, University of Texas, El Paso; Diane Elisa Golding, University of Texas, El Paso; Kelsi Marie Oyler, Engineering Leadership; America Fernandez, University of Texas, El Paso; Helen Elizabeth Geller, University of Texas, El Paso; Luis Carlos Jimenez, University of Texas, El Paso; Jennifer Arreola, University of Texas, El Paso; Andrea Annette Duenez; Karla Alejandra Ayala

Tagged Divisions

Computers in Education

redesigned advising process based on such feedback; we focused on ourEngineering Leadership program. The criteria for this selection was: 1) the cohorts within theprogram were well identified and documented, 2) the program was smaller (80 students) and newermaking it more flexible to adapt 3) the advisor(s)/faculty wanted to move to a three-pillar modelwhich focused on a) advising, b) mentoring, and c) professional development.A team involving four students from varying classifications, along with a student from a differentdepartment/college, was brought in to conduct focus groups around the challenges of the currentadvising process. Based on such, the team was re-aligned with the goal of conducting addition focusgroups of students about what type