Conference Session

Work-in-Progress Posters: Computers in Education Division Poster Session

Collection

2017 ASEE Annual Conference & Exposition

Authors

Evelyn R. Sowells, North Carolina A&T State University; Andrea Nana Ofori-Boadu, North Carolina A&T State University; Jonte R. Douglas; Li-Shiang Tsay; Dewayne Randolph Brown

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Diversity

Tagged Divisions

Computers in Education

Paper ID #18159Work in Progress: Analyzing Educational Methodologies for Electronic Tech-nology StudentsDr. Evelyn R. Sowells, North Carolina A&T State University Dr. Evelyn R. Sowells is an assistant professor in the Computer Systems Technology department at North Carolina A&T State University’s School of Technology. Prior to joining the School of Technology fac- ulty, she held position at U.S. Department of Energy, N.C. A&T’s Division of Research and College of Engineering. Dr. Sowells earned a Ph.D. in Electrical Engineering from North Carolina A&T State Uni- versity’s College of Engineering. She also

Conference Session

Computer-Based Learning Models

Collection

2014 ASEE Annual Conference & Exposition

Authors

Wendi M. Kappers, Embry-Riddle Aeronautical University; Stephanie Cutler, Embry-Riddle Aeronautical Univ., Daytona Beach

Tagged Divisions

Computers in Education

PollEverywhere and its impact on engagement. Thepurpose of the present study is to address this gap in the literature.III. MethodsDuring the fall semester of 2013, a pilot study was conducted in an introductory computingcourse for non-computer science majors. The purpose of this study is to investigate the influenceof PollEverywhere on student attendance and engagement with the course material in anintroductory computer science large lecture classroom (n = 291).PollEverywhere was used on a weekly basis within the lecture portion of the course. Examples ofthe polling questions include: (a) “What was the first product you purchased online?”[Open-ended], (b) “What year was the first email sent?” [Multiple choice], (c) “On a scale of 1 to 5 –how am I

Conference Session

Tablets Large and Small

Collection

2012 ASEE Annual Conference & Exposition

Authors

Tonya Lynn Lauriski-Karriker, Colorado School of Mines; Emma Nicoletti, Colorado School of Mines; Barbara M. Moskal, Colorado School of Mines

Tagged Divisions

Computers in Education

2 Fellow B Graduate Teaching 1 2 Fellow C Adjunct 3 4 D Adjunct 6 First time E Professor 16 6Instructors A, C, D, and E used the InkSurvey software as a method to ask their studentsquestions during class and Instructor B used the software as a way for students to ask theinstructor questions during class. Instructor E used the software every day, Instructors A, B, andC used the software at least once a week, and Instructor D used the InkSurvey softwareapproximately once every two weeks. Instructors D and E were the only instructors that used thetablet PCs

Conference Session

Effective Use of Technology in Education

Collection

2016 ASEE Annual Conference & Exposition

Authors

Nina Magpili, Engineering Management & Systems Engineering (EMSE), Old Dominion University; Pilar Pazos, Old Dominion University; Preetham Sathish Ullal, Old Dominion University

Tagged Divisions

Computers in Education

Iended up. . .I just kind of got tired of the back and forth. I personally made the plan …, saidalright what do you guys think about this, and everybody said all right it's good. So that waswhat ended up get put up in the Google drive or out in the Google team site.” (Team Member5CS15)In summary, the scaffolds largely supported transition processes including planning, goal androle setting. A very small number of teams reported not benefiting from the tools to supporttransition process due to intervening factors such as lack of writing skills and lack of initiativefrom team members. B. Interpersonal ProcessesOur analysis suggests that a variety of tools, activities and artifacts supported interpersonalprocesses. The percentages of teams (shown

Conference Session

Computational Tools and Simulation I

Collection

2009 Annual Conference & Exposition

Authors

Richard Stanley, Kettering University

Tagged Divisions

Computers in Education

Page 14.141.94.1.6 Motorcycle Problem: Student SurveyFigure 6 shows the results of an anonymous survey, which consists of all 58 students whocompleted the assignment. Approximately 87% of students surveyed agree that using theanimations program helped them understand acceleration concepts of a particle moving along apath, which is defined by Y(X).4.2 Planes Problem: Relative VelocityThe planes problem involves two planes traveling relative to each other. The relative position,velocity, and acceleration of plane B with respect to A are shown as OUTPUT variables in theanimation program (Figure 8). Note that the relative velocity of A with respect to B in the Y-direction (VYB/A) is approximately zero here.In this assignment, the student is asked

Conference Session

Computers in Education 5 - Online and Distributed Learning 2

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Shamsul Arefeen, Texas Tech University; Tim Dallas P.E., Texas Tech University; Heather Greenhalgh-Spencer, Texas Tech University

Tagged Topics

Diversity

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Computers in Education

delivers education to resource limitedregions around the world in a cost-effective way. The minimized form-factor, utilizing a pico-projector powered by a foldable solar panel, makes the system deployable to any region. Theeducational content is typically stored on standard micro-SD cards and USB drives. Access to awireless network allows the pico-projector to use online resources. SPDCB is also a stand-alonesolution which can deliver education in remote settings where grid-connected electrical powerand modern classroom facilities are absent. Figure-1 shows the components of the system whichare briefly described below: A. Solar Photovoltaic Panel: This foldable solar panel offers 21 Watts of power to charge the external battery. B

Conference Session

Technical Session 13: Digital Learning

Collection

2019 ASEE Annual Conference & Exposition

Authors

Jared Dean Mitten, Ohio State University; Andrew H. Phillips, Ohio State University; Kathleen A. Harper, Ohio State University; Richard J. Freuler, Ohio State University

Tagged Divisions

Computers in Education

involved with developing and teaching laboratory content, leading the maintenance of the in-house robotics controller, and managing the development of the robotics project.Dr. Kathleen A. Harper, Ohio State University Kathleen A. Harper is a senior lecturer in the Department of Engineering Education at The Ohio State University. She received her M. S. in physics and B. S. in electrical engineering and applied physics from Case Western Reserve University, and her Ph. D. in physics from The Ohio State University. She has been on the staff of Ohio State’s University Center for the Advancement of Teaching, in addition to teaching in both the physics and engineering education departments. She is currently a member of the ASEE

Conference Session

Work-in-Progress Posters: Computers in Education Division Poster Session

Collection

2017 ASEE Annual Conference & Exposition

Authors

John E. Bell, Michigan State University; Timothy J. Hinds, Michigan State University; S. Patrick Walton, Michigan State University; Christopher Cugini, Michigan State University; Cui Cheng, Michigan State University; Daniel Joseph Freer, Michigan State University; William Cain, Michigan State University; Hannah Klautke, Michigan State University

Tagged Divisions

Computers in Education

play with, (b) the app provided immediate feedback, and (c) thecompetitive features made the app more engaging. The other student from the experimentalgroup expressed, however, that the app was less motivating because the pencil and paperactivities were required in the course, whereas the use of the app was optional.These findings also paralleled themes based on answers to the open-ended survey question, “Iwould have played the AR app more if ...”. Of 26 responses, eight stated that they would haveused the AR app more if it offered a larger variety games and options. Two students explicitlystated closer alignment with course tasks and homework problems as a possible motivator,besides technical concerns such as bugs and battery drain, as well

Conference Session

CoED General Technical Session II

Collection

2012 ASEE Annual Conference & Exposition

Authors

Yaomin Dong Ph.D., Kettering University; Arnaldo Mazzei, Kettering University; Raghu Echempati, Kettering University

Tagged Divisions

Computers in Education

would have to follow the procedure 5: r r r r vB = v A + ω1 × rAB (1) Note that in equation (1) A is the connection between the crank and the housing and B is thejoint between the crank and the link. This allows for the calculation of the joint velocity based on rthe angular velocity of the crank and the position vector from A to B ( v A = 0 ). Next, r r r r vB = vC + ω 2 × rCB

Conference Session

Teaching and Advising Tools Using Computers and Smart Devices

Collection

2016 ASEE Annual Conference & Exposition

Authors

Burchan Aydin, Texas A&M University - Commerce; Muge Mukaddes Darwish, Texas Tech University; Emre Selvi, Jacksonville University

Tagged Divisions

Computers in Education

14 N 14 u S 12 m t 10 b u 8 7 e d 6 4 3 r i 2 2 e 2 0 o s 1995-1999 2000-2004 2005-2009 2010-2014 2015-Present f Timeline Figure 1: Trends for Primary Framework Development.The histogram indicates that more than 80% of primary framework development has beenperformed before 2010. There is a very limited primary framework development effort in

Conference Session

Computing Technology Session 2

Collection

2017 ASEE Annual Conference & Exposition

Authors

M T Taher; Usman Ghani, Robert Morris University; Ahmed S. Khan, DeVry University, Addison

Tagged Divisions

Computers in Education

of simulation is effective for onsite delivery mode or the onsite delivery mode; the simulation can support lower courses as well as higher level courses in the Electronic & Computer Engineering Technology (ECET) programs and Electronics Computer Technician (ECT) programs. b. Faculty feedback suggests that knowledge of simulation program and pedagogical skills are major factors for enhancing student learning. c. Students’ feedback suggests that simulation-based labs offer a safer environment for user. However, in a simulation environment there is no such threat. d. Simulation is effective when it is followed by the hands-on activity to reduce

Conference Session

First Year Computing Topics

Collection

2017 ASEE Annual Conference & Exposition

Authors

Krista M Kecskemety, Ohio State University; Allen Benjamin Drown, Ohio State University; Lauren Corrigan, Ohio State University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

., Illinois, 2001. 8. Vernier, M. A., & Wensing, P. M., & Morin, C. E., & Phillips, A., & Rice, B., & Wegman, K. R., & Hartle, C., & Clingan, P. A., & Kecskemety, K. M., & Freuler, R. J., “Design of a Full-Featured Robot Controller for Use in a First-Year Robotics Design Project,” Computers in Education Journal, vol. 6, no. 1, pp. 55–72, January-March 2015. 9. Kearsley, G. & Shneiderman, B., “Engagement Theory: A Framework for Technology-Based Teaching and Learning”, Educational Technology, Vol. 38, No. 5, September 1998, pp. 20-23. 10. Ossman, K., and Bucks, G., “First Year Student Team Projects Using MATLAB”, First Year Engineering Experience Conference, August 8-9

Conference Session

Computers in Education 3 - Modulus I

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Arinjoy Basak, Virginia Polytechnic Institute and State University; Todd Patrick Shuba, Virginia Polytechnic Institute and State University; Jianqiang Zhang, Virginia Polytechnic Institute and State University; Sneha Patel Davison, Virginia Polytechnic Institute and State University; David A. Dillard, Virginia Polytechnic Institute and State University; Jacob R. Grohs, Virginia Polytechnic Institute and State University; Nicole P. Pitterson, Virginia Polytechnic Institute and State University; Clifford A. Shaffer, Virginia Polytechnic Institute and State University

Tagged Divisions

Computers in Education

Study on Faculty Perceptions of Teacher-Student Interaction in Foundational Engineering Courses,” in The 2nd Annual Teaching Large Classes Conference, 2016.[2] K. VanLehn, J. Wetzel, S. Grover, and B. Van De Sande, “Learning how to construct models of dynamic systems: an initial evaluation of the dragoon intelligent tutoring system,” IEEE Trans. Learn. Technol., vol. 10, no. 2, pp. 154–167, 2016.[3] K. VanLehn et al., “The Andes physics tutoring system: Five years of evaluations,” 2005.[4] K. A. Ericsson, R. T. Krampe, and C. Tesch-Römer, “The role of deliberate practice in the acquisition of expert performance.,” Psychol. Rev., vol. 100, no. 3, p. 363, 1993.[5] J. R. Grohs, T. Kinoshita, B. J. Novoselich, and D. B

Conference Session

Technical Session 11: Topics related to Computer Science

Collection

2019 ASEE Annual Conference & Exposition

Authors

Farzana Rahman, Florida International University; Samy El-Tawab, James Madison University

Tagged Divisions

Computers in Education

large area.There are numerous challenges in detecting wandering behavior: a) sensor data collected from amobile phone has a lot of noises which may not reflect the real route or motion of the dementiapatients, b) wandering behavior itself varies a lot, caused by not only the diversity of wanderingpatterns but also the individual difference. So, it is not easy to construct a uniform model thatdetects wandering behavior, and c) since human’s regular travel pattern sometimes also includeswandering like a pattern, it is hard for machines to distinguish between the two. Hence in ourapplication, for analysis, we have applied the following two techniques: a) one idea isrepresenting wandering traces as loops, the problem of wandering detection is

Conference Session

Computers in Education General Technical Session I

Collection

2011 ASEE Annual Conference & Exposition

Authors

Melissa A. Pasquinelli, North Carolina State University; Jeff Joines, North Carolina State University

Tagged Divisions

Computers in Education

thermodynamic property data. (This requirement was abandoned by mid-semester due to the excessive time it was taking students for minimal gain in knowledge.) All Three Years: Only select problems were required to be done computationally. Refer to problems from all other tasks.Task 2: Graphing All Three Years: Refer to Task 4 and Figure 2. HW 1 in 2009: Adapted from Problems 1-133E and 1-134E in Cengel and Boles. 7 Given an equation for calculating the chilling effect of the wind, which takes into account the wind velocity and the ambient air temperature, perform the following: a) Convert the equation into USCS units. b) Plot the equivalent wind chill temperatures in ◦ F as a function of wind velocity in

Conference Session

Computers in Education Division Poster Session

Collection

2012 ASEE Annual Conference & Exposition

Authors

David N Raizen, UMES; Abhijit Nagchaudhuri, University of Maryland, Eastern Shore; Madhumi Mitra Ph.D, University of Maryland, Eastern Shore

Tagged Divisions

Computers in Education

) 2010. Chesapeake Bay Phase 5.3 Community Watershed Model. In preparation EPA XXX-X-XX-010. Chesapeake Bay Program Office, Annapolis MD. December 2010.11. US EPA, (U.S. Environmental Protection Agency) Region 3. (2010, December 29). Chesapeake Bay Total Maximum Daily Load for Nitrogen, Phosphorus and Sediment. U. S. EPA. Retrieved from http://www.epa.gov/reg3wapd/tmdl/ChesapeakeBay/tmdlexec.html12. Williams, M., Longstaff, B., Buchanan, C., Llansó, R., & Dennison, W. (2009). Development and evaluation of a spatially-explicit index of Chesapeake Bay health. Marine Pollution Bulletin, 59(1-3), 14-25. doi:10.1016/j.marpolbul.2008.11.01813. Zint, M., Kraemer, A., Northway, H., & Lim, M. (2002). Evaluation

Conference Session

Computer Hardware

Collection

2014 ASEE Annual Conference & Exposition

Authors

Mark A. Hopkins, Rochester Institute of Technology (KGCOE); Alexander Michael Kibbe, Rochester Institute of Technology

Tagged Divisions

Computers in Education

with Arduino Apress, 2012, Ch 4. pp. 69-87[2] K Zachariadou et.al., "A low-cost computer-controlled Arduino-based educational laboratory system for teaching the fundamentals of photovoltaic cells", Eur. J. Phys. 2012 33 1599[3] B. M. Hoffer, “Satisfying STEM education using the Arduino microporcessor in C programming”, MS Thesis, East Tennessee State University, Publication Number: AAT 1520533, 2012.[4] Feedback Inc., Servo Fundamentals Trainer [online]: http://www.feedback- instruments.com/products/education/terms_and_conditions/servo_fundamentals_trainer[5] Quanser QNET DC Motor Control Trainer [online]: http://www.quanser.com/products/qnet_dcmct[6] Sparkfun Inventor's Kit [online]: https

Conference Session

Computers in Education Engineering Division Poster Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Lulu Sun, Embry-Riddle Aeronautical Univ., Daytona Beach; Yan Tang, Embry-Riddle Aeronautical Univ., Daytona Beach

Tagged Topics

Diversity

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Computers in Education

2005;4(WINTER):298- 310.11. Graham G.M., Fidan I. Innovative applications of classroom response devices in manufacturing education. ASEE Annual Conference and Exposition, Conference Proceedings 2012.12. Frank B.M., Web-based audience response system for quality feedback in first year engineering. ASEE Annual Conference and Exposition, Conference Proceedings 2013.13. Fischer M.P., Tech services on the web: Poll everywhere; http://Www.polleverywhere.com/. Technical Services Quarterly 2014;31(4):413-4.14. Gray G.L., Costanzo F., Evans D., Cornwall P., Self B., and Lane J.L., The dynamics concept inventory assessment test: A progress report and some results. ASEE Annual Conference and Exposition, Conference Proceedings 2005

Conference Session

Computers in Education Division - General Technical Session 1

Collection

2013 ASEE Annual Conference & Exposition

Authors

Danielle Marie Dowling, Tufts Center for Engineering Education and Outreach; Morgan M Hynes, Arizona State University

Tagged Divisions

Computers in Education

] says as the person goes up, [Group B] said that PE is going to increase and that the KE will decrease. [Writes PE increases and KE decreases on the left side of the half pipe in the middle.] So [Group B] said the opposite. I think they're the same up here [points at top of the half pipe], but this, they said the opposite up here [points at bottom and left side of half pipe]. One group said PE decreases as they go up; the other says PE will increase. Okay, so that’s a conflict we’ve got to work out.” Figure 4: A re-creation of Kraig’s sketch of Group F and Group B’s answers.Group F’s contribution is written in black; Group B’s, red.Kraig then had the

Conference Session

Technical Session 12: Teaching and Learning

Collection

2019 ASEE Annual Conference & Exposition

Authors

Nina Schiffeler, IMA - RWTH Aachen University; Valerie Stehling, RWTH Aachen University; Frank Hees, Cybernetics Lab IMA & IfU; Ingrid Isenhardt

Tagged Divisions

Computers in Education

. 107 - 112.[14] Wood, D. J. and Gray, B. (1991). “Toward a Comprehensive Theory of Collaboration”. Journal of Applied Behavioral Science 27 (2), pp. 139-162.[15] Russel, J.A., Weiss, A. and Mendelsohn, G.A. (1998). “Affect Grid: A Single-Item Scale of Pleasure and Arousal”, Journal of Personality and Social Psychology 57 (3), pp. 493- 502.[16] Koch, C., Neges, M., König, M. and Abramovici, M. (2014). ‘Natural Markers for Augmented Reality-Based Indoor Navigation and Facility Management‘. Automation in Construction 48, pp. 18-30.[17] https://anymotion.com/wissensgrundlagen/augmented-reality-marker[18] Lehmann-Willenbrock, N., Allen, J. A. and Kauffeld, S. (2013). „A Sequential Analysis of Procedural Meeting Communication: How Teams

Conference Session

Best of Computers in Education

Collection

2015 ASEE Annual Conference & Exposition

Authors

Borjana Mikic, Smith College; Al Rudnitsky, Smith College; Annick Jade Dewald; Anjali Karina Desai, Smith College

Tagged Divisions

Computers in Education

Education in a Knowledge Society (pp. 67-98). Chicago, IL: Open Court. Page 26.1648.178. Scardamalia, M. and Bereiter, C (2006). Knowledge Building: theory, pedagogy, and technology. In K. Sawyer (ed.), The Cambridge Handbook of the Learning Sciences (pp 97-118). New York: Cambridge University Press.9. Scardamalia, M, Bransford, J, Kozman, B, Quellmalz, E (2012). New Assessments and Environments for Knowledge Building (pp 231-300) In P. Griffin et al. (Ed.s), Assessment and Teaching of 21st Century Skills. New York: Springer Science and Business Media.10. Scardamalia, M (2004) CSILE/Knowledge Forum. In A. Kovalchick

Conference Session

Technical Session 12: Teaching and Learning

Collection

2019 ASEE Annual Conference & Exposition

Authors

Nabeel Alzahrani, University of California, Riverside; Frank Vahid, University of California, Riverside; Alex Daniel Edgcomb, zyBooks, A Wiley Brand

Tagged Divisions

Computers in Education

conclude that help systems should strive todetect as many one-off errors as possible and provide hints for those (the list may be huge), andthat students struggling for more than some period of time should have a way to get quick help.We intend to make use of these finding to improve our own teaching and content, and to begindeveloping an automated help system for coding homework problems.References[1] Beaubouef, T. & Mason, J. Why the high attrition rate for computer science students: somethoughts and observations. ACM SIGCSE Bulletin, ACM, 2005, 37, 103-106.[2] McCauley, R.; Fitzgerald, S.; Lewandowski, G.; Murphy, L.; Simon, B.; Thomas, L. &Zander, C. Debugging: a review of the literature from an educational perspective. ComputerScience

Conference Session

Instrumentation and Laboratory Systems

Collection

2006 Annual Conference & Exposition

Authors

Susan Lord, University of San Diego; Leonard Perry, University of San Diego

Tagged Divisions

Computers in Education

presentation medium in large-scale engineering classrooms”, Session 1520, Proceedings of the American Society for Engineering EducationAnnual Conference, June 2005, Portland, OR.7 Simon, B., Anderson, R., Hoyer, C. and Su, J., “Preliminary Experiences with a Tablet PC Based System toSupport Active Learning in Computer Science Courses,” 9th Annual Conference on Innovation and Technology inComputer Science Education, June 2004.8 Classroom Presenter software, Educational Technology group, University of Washington,http://www.cs.washington.edu/education/dl/presenter9 ExCEEd Teaching Workshop, 2001, American Society of Civil Engineers, West Point, NYhttp://www.asce.or/exceed/etw01_slides.cfm10 Wilkerson, M., Griswold, W, and Simon, B., “Ubiquitous

Conference Session

Computers in Education (CoED) Engineering Poster Session

Collection

2013 ASEE Annual Conference & Exposition

Authors

Johne' M Parker, University of Kentucky; Stephen L. Canfield, Tennessee Technological University; Sheikh Khaled Ghafoor, Tennesse Technological University; Kassy Moy Lum

Tagged Divisions

Computers in Education

, VA Page 23.1396.12 [18] Clough, D. E., Chapra, S. C. and G. S. Huvard, 2001, “A Change in Approach to Engineering Computing for Freshmen, - Similar Directions at Three Dissimilar Institutions,” 2001 ASEE Annual Conference and Exposition, Jun 24-27, Albuquerque, NM.[19] M. H. Naraghi and B. Litkouhi, 2001, “An effective approach for teaching computer programming to freshman engineering students,” 2001 ASEE Annual Conference and Exposition, Jun 24-27, Albuquerque, NM.[20] Adamchik, V. and A. Gunawardena, 2005, “Adaptive book: Teaching and learning environment for programming education”, Proceedings ITCC 2005

Conference Session

Computers in Education 10 - Technology 2

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Tristan M. Ericson, York College of Pennsylvania

Tagged Divisions

Computers in Education

frequency domain (right).5. Data used to support lessons learnedAll available evidence related to the lessons subsequently presented is provided in theappropriate section. The supporting data includes (a) student response to courseevaluations/surveys conducted by York College of Pennsylvania without professor involvement,(b) student performance on MATLAB/Simulink assignments (grades) compared to other courseevaluation tools (homework and quizzes), (c) student performance (course grades) as Iimplemented changes throughout successive course offerings, and (d) hours invested inMATLAB/Simulink assignment support across five years. No available data was unused; anyevidence pertaining to the lessons is presented. In

Conference Session

Computer Education Management Tools

Collection

2007 Annual Conference & Exposition

Authors

Lupita Montoya, Rensselaer Polytechnic Institute; Chris Moore, Rensselaer Polytechnic Institute

Tagged Divisions

Computers in Education

“What does theKyoto Protocol deal with?” Example of choices given included: a) Substances that deplete theozone layer; b) Climate change; 3) Proliferation of nuclear weapons; 4) Use of biologicalweapons; 5) None of the above. Results from these surveys showed a significant improvementfrom 36% to 65% correct responses by the end of the course. It is possible that even though theKyoto Protocol was not part of the course material, the in-class and on-line discussions revolving Page 12.1479.10around this topic were responsible for this increase. Including even a small statement about thistopic within the class

Conference Session

Computers in Education Division Technical Session 1: Topics Related to Engineering - Part 2

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Conrad Tucker, Carnegie Mellon University; Kathy Schmidt Jackson, Pennsylvania State University, University Park; John Jongho Park, Penn State University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

Approach’to Professional Development: Enhancing and Sustaining Mathematics Teachers’ Ability to Implement Cognitively Challenging Mathematical Tasks. ZDM 2011, 43 (6–7), 965–977.(3) Standards, N. G. S. Next Generation Science Standards: For States, by States (Vol 1) Washington. 2013.(4) Trilling, B.; Fadel, C. 21st Century Skills: Learning for Life in Our Times; John Wiley & Sons, 2009.(5) Popenici, S. A.; Kerr, S. Exploring the Impact of Artificial Intelligence on Teaching and Learning in Higher Education. Research and Practice in Technology Enhanced Learning 2017, 12 (1), 22.(6) Allen, D. M. W. and J. R. How Artificial Intelligence Is Transforming the World. Brookings, 2018.(7) Charting a Course for Success

Conference Session

Online Learning

Collection

2013 ASEE Annual Conference & Exposition

Authors

Mihaela Vorvoreanu, Purdue University, West Lafayette; Geovon Andre Boisvenue, Purdue University; Francisco Javier Portela II; Anna Bao

Tagged Divisions

Computers in Education

:–– www.onlineengineeringeducation.com–joee_v3n1a1.pdf (2012).4.  McAfee, A. P. Enterprise 2.0: New collaborative tools for your organization's toughest challenges. (Harvard Business School Press, 2009).5.  Walther, J. B. et al.in A Networked Self: Identity, Community, and Culture on Social Network Sites (Papacharissi, Z.) (Taylor & Francis, 2011).6.  Goffman, E. The presentation of self in everyday life. (Anchor Books, Doubleday, 1959).7.  Gergen, K. J. Relational being: Beyond self and community. (Oxford University Press, USA, 2009).8.  Mead, G. H. The social self. The Journal of Philosophy, Psychology and Scientific Methods 10, 374–3809.  Kirkpatrick, M. Facebook's Zuckerberg says the age of privacy is over. Read/Write Web at 10

Conference Session

Computers in Education General Technical Session I

Collection

2011 ASEE Annual Conference & Exposition

Authors

Robert P. Taylor, University of Alabama; Keith A. Woodbury, The University of Alabama

Tagged Divisions

Computers in Education

suchas “R_air,” “T_0,” and “M_2.” The second column is reserved for values for the constants orformulae where dependent variables are being computed. All formulae are written in terms ofthe assigned names, “= P_b/P_P0(M_2,gam).” Generic cell references are never used, “=B13/$B$10.” The third column contains the units. Units are emphasized, since neglecting unitsis a primary source of errors in engineering problems. Notes or cut-and-paste copies of theformulae are displayed in column D and beyond. Having visible copies of the formulae is veryimportant for readability and to debug the spreadsheet when an error occurs.Screen captures, sketches using the drawing tools, and text boxes can be added to furtherdocument the spreadsheet solution. As the

Conference Session

Computers and Learning

Collection

2013 ASEE Annual Conference & Exposition

Authors

Mishael A. Clark, Indiana University Purdue University, Indianapolis; Eugenia Fernandez, Indiana University Purdue University, Indianapolis

Tagged Divisions

Computers in Education

research on the impact of podcast usage in higher education is worthy offurther research using not only self-reporting but course performance data.Three of the thirteen participating course sections in this study are Engineering & Technologycourses. A similar study focusing on students in this major could provide valuable insight on theimpact of podcasting on course outcomes.Limitations of this study include missing survey responses (approximately 1/3 of those surveyedboth during control and treatment phases did not complete the entire survey); the data reliedupon student self-reporting of reading and listening habits; finally, only one podcast was used inthis study.Bibliography1. Sikorski, J. F., Rich, K., Saville, B. K., Buskist, W