Conference Session

Computers in Education 9 - Technology 1

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Emre Tokgoz, Quinnipiac University; Samantha Eddi Scarpinella, Quinnipiac University; Michael Giannone, Quinnipiac University

Tagged Divisions

Computers in Education

same technology to solve these two questions.  26% of the participants correlated to solve Q1 and Q2 by using the same technology, calculator.  33% of the participants correlated to solve Q2 and Q3 by using a calculator.  35% of the research participants selected different technologies for all three questions.Figure 16 below reflects a summary of the correlation analysis. Correlation Analysis of the Three Research Questions  Different Tech  35%  Q2&3  33%  Q1&3  52%  Q 1&2

Conference Session

Computers in Education 6: Best of CoED

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Luwen Huang, Massachusetts Institute of Technology; Kayla M. Bicol; Karen E. Willcox, University of Texas at Austin

Tagged Divisions

Computers in Education

specified set, if any, make the Directly-impacted Grade 6 equation or inequality true? 4. [6.EE.5] Use substitution to determine whether a given number in a specified set makes an equation or inequality true. Directly-impacted Grade 6 5. [6.EE.7] Solve real-world and mathematical problems by writing and solving equations of the form x + p = q and px = q for cases in which p, Directly-impacted Grade 6 q and x are all nonnegative rational numbers. 6. [6.EE.8] Write an inequality of the form x ¿ c or x ¡ c to represent a constraint or condition in a real-world or mathematical problem. Directly-impacted Grade 6 7. [6.EE.8] Recognize that

Conference Session

Computers in Education 5 - Online and Distributed Learning 2

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Sunay Palsole, Texas A&M University; Jaskirat Singh Batra, Texas A&M University; Xi Zhao, Texas A&M University

Tagged Divisions

Computers in Education

synchronous courses, they showed a more positive reaction to the course when thefaculty used polling, Q&A, and other methods for student engagement. A similar reaction was shownin their satisfaction with asynchronous courses.While these data are very preliminary, they provide some design implications for asynchronous andsynchronous courses. In asynchronous courses, the students appreciated the use of Zoom for liveengagement. This indicates that future asynchronous course designs could benefit from includinglive interaction opportunities as part of the course. Similarly, for synchronous courses, addingopportunities for student engagement during live lectures by using chat sessions, polls, and similartools would lead to higher student satisfaction

Conference Session

Computers in Education 4 - Online and Distributed Learning 1

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Sherif Abdelhamid, Virginia Military Institute; Andrew Katz, Virginia Polytechnic Institute and State University

Tagged Divisions

Computers in Education

Metaphor F-M Perceptual metaphor F-M-P Figurative Language F Lexicalized metaphor F-M-L Personification F-P Simile F-S Synecdoche F-Y Metonymy F-M Analogy F-A Question S-Q Illustrative S-E Teaching Style S Example Imagination S-I Repetition

Conference Session

Computers in Education 7 - Modulus 2

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Ahmed Ashraf Butt, Purdue University at West Lafayette; Saira Anwar, University of Florida; Muhsin Menekse, Purdue University at West Lafayette

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

. Kinshuk, “Augmented Reality Trends in Education: A Systematic Review of Research and Applications,” Educ. Technol. Soc., vol. 17, pp. 133–149, Oct. 2014.[17] E. N. Asiimwe and Å. Grönlund, “MLCMS actual use, perceived use, and experiences of use,” Int. J. Educ. Dev. Using Inf. Commun. Technol., vol. 11, no. 1, pp. 101–121, 2015.[18] S. Dart, S. Cunningham-Nelson, and L. Dawes, “Understanding student perceptions of worked example videos through the technology acceptance model,” Comput. Appl. Eng. Educ., vol. 28, no. 5, pp. 1278–1290, Sep. 2020, doi: 10.1002/cae.22301.[19] X.-F. Lin, C. Deng, Q. Hu, and C.-C. Tsai, “Chinese undergraduate students’ perceptions of mobile learning: Conceptions, learning profiles, and approaches

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

10-13, 2012. 9. M.E. Hernitter, D.R. Scott, and R. Pangasa, “Teaching Programming Skills with MATLAB,” ASEE Annual Conference and Exhibition, Albuquerque, NM, June 24-27, 2001. 10. J. Turner and J.P. Hoffbeck, “Putting Theory into Practice with Simulink,” ASEE Annual Conference and Exhibition, Portland, OR, June 11-15, 2005. 11. E.M. Eke, “Using Simulink, Matlab, and LEGO Mindstorms to teach a Project-Based Control Systems Design Course,” ASEE Annual Conference and Exhibition, Seattle, WA, June 14-17, 2015. 12. Q. Dai and Z. You, “Using MATLAB to Solve Engineering Problems for Undergraduates,” ASEE Annual Conference and Exhibition, Chicago, IL, June 18-21, 2006. 13. C. Aroskar and Y.R. Zheng

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

, M.H. Cho, C.L. Tsai, and R. Marra, “Unpacking online learning experiences:Online learning self-efficacy and learning satisfaction,” Internet and Higher Education, vol. 19,no. 2013, pp. 10-17, 2013, doi:10.1016/j.iheduc.2013.04.001[10] Q. Kreth, M.E. Spirou, S. Budenstein, and J. Melkers, “How prior experience and self-efficacy shape graduate student perceptions of an online learning environment in computing,”Computer Science Education, vol. 29, no. 4, pp. 357-381, 2019.[11] B.H. Chaney, J.M. Eddy, S.M. Dorman, L. Glessner, B. L. Green, and R. Lara-Alecio,“Development of an instrument to assess student opinions of the quality of distance educationcourses. American Journal of Distance Education, vol. 21, no. 3, pp. 145–164, 2007,doi.org/10.1080

Conference Session

Computers in Education 8 - Video Technology

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Dule Shu, Carnegie Mellon University; Christopher Doss, RAND Corporation; Jared Mondschein, RAND Corporation; Denise Kopecky, Challenger Center; Valerie A. Fitton-Kane, Challenger Center; Lance Bush, Challenger Center; Conrad Tucker, Carnegie Mellon University

Tagged Divisions

Computers in Education

, and T. Aila, “Analyzing and improving the image quality of stylegan,” arXiv preprint arXiv:1912.04958, 2019.[19] Z. Wu, G. Lin, Q. Tao, and J. Cai, “M2e-try on net: Fashion from model to everyone,” in Proceedings of the 27th ACM International Conference on Multimedia, 2019, pp. 293–301.[20] A. Siarohin, S. Lathuilière, S. Tulyakov, E. Ricci, and N. Sebe, “First order motion model for image animation,” arXiv preprint arXiv:2003.00196, 2020.[21] D. A. Scheufele and N. M. Krause, “Science audiences, misinformation, and fake news,” Proceedings of the National Academy of Sciences, vol. 116, no. 16, pp. 7662–7669, 2019.[22] R. A. Nash, “Changing beliefs about past public events with believable and unbelievable doctored

Conference Session

Computers in Education 10 - Technology 2

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Christian E. Lopez, Lafayette College; Omar Ashour, Pennsylvania State University; James Devin Cunningham, Carnegie Mellon University; Conrad Tucker, Carnegie Mellon University

Tagged Divisions

Computers in Education

. Besterfield-Sacre, C. J. Atman, and L. J. Shuman, “Characteristics of freshman engineering students: Models for determining student attrition in engineering,” J. Eng. Educ., vol. 86, no. 2, pp. 139–149, 1997.[6] S. G. Brainard and L. Carlin, “A Six-Year Longitudinal Study of Undergraduate Women in Engineering and Science,” J. Eng. Educ., vol. 87, no. 4, pp. 369–375, 1998.[7] S. S. Huang, G., Taddese, N., Walter, E., & Peng, “Entry and Persistence of Women and Minorities in College Science and Engineering Education,” Educ. Stat. Q., vol. 2, no. 3, pp. 59–60, 2000.[8] E. C. Kokkelenberg and E. Sinha, “Who succeeds in STEM studies? An analysis of Binghamton University undergraduate students,” Econ. Educ. Rev., vol

Conference Session

Computers in Education 2 - Programming 2

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Xueyi Bao, Notre Dame University; Jun Han, University of Notre Dame; Chaoli Wang, University of Notre Dame

Tagged Divisions

Computers in Education

Figure 5, students are asked to adjust the lightingparameters in the Control Panel to generate a rendering result similar to the given reference image.Figure 5: The screenshot of VolumeVisual (quiz component). Compared with the study component shown in Figure 1,we mainly replace the right IR panel with a panel for Q&A.5 User StudyWe conducted a user study to evaluate the effectiveness of VolumeVisual with two groups of participants, based ontheir familiarity with SciVis and VolVis concepts and techniques. Participants in the first group (VolVis-familiargroup) either have taken the visualization course before or are experts in SciVis and VolVis. In contrast, participantsin the second group (VolVis-nonfamiliar group) have little prior

Conference Session

Computers in Education 4 - Online and Distributed Learning 1

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Juliana Lynn Fuqua, California State Polytechnic University, Pomona; Faye Linda Wachs, California State Polytechnic University, Pomona; Paul Morrow Nissenson, California State Polytechnic University, Pomona; Deanna Miranda Barrios; Cecilia Nguyen, California State Polytechnic University, Pomona

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

Engineering Education AnnualConference & Exposition, Indianapolis, IN, USA, June 15-18, 2014. Available at [30] P. M. Nissenson, F. L. Wachs, J. L. Fuqua, Y. Zhao, S. Pedroza, and A. C. Shih, “Impact of an Online LearningEnvironment on Student Performance and Perceptions in a Fluid Mechanics Course,” in Proceedings of the 2017American Society for Engineering Education Annual Conference & Exposition, Columbus, OH, USA, June 25-28,2017. Available at [31] F. L. Wachs, J. L. Fuqua, P. M. Nissenson, A. C. Shih, M. P. Ramirez, L. Q. DaSilva, N. Nguyen, and C.Romero, “Successfully Flipping a Fluid Mechanics Course using Video Tutorials and Active Learning Strategies:Implementation and Assessment,” in Proceedings of the 2018 American Society for