Displaying all 9 results
- Conference Session
- Best of Computers in Education
- Collection
- 2015 ASEE Annual Conference & Exposition
- Authors
- Matthew West, University of Illinois, Urbana-Champaign; Mariana Silva , University of Illinois at Urbana-Champaign; Geoffrey L. Herman, University of Illinois, Urbana-Champaign
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- Diversity
- Tagged Divisions
- Computers in Education
13 (Q) / % 40 14 discrimination rQ P 30 4 6 73 8 10 5 20 2 11 12
- Conference Session
- Computers in Education Engineering Division Poster Session
- Collection
- 2015 ASEE Annual Conference & Exposition
- Authors
- John C Nesbit, Simon Fraser University; Li Liu, Simon Fraser University ; Qing Liu, Simon Fraser University; Olusola O Adesope, Washington State University-Pullman
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- Computers in Education
) critically evaluating the state of research andrecommending improvements, and (c) identifying neglected topics that require the attention ofresearchers. Our completed systematic review will contribute in each of these three areas.Bibliography1. Ma, W., Adesope, O. O., Nesbit, J. C., & Liu, Q. (2014). Intelligent tutoring systems and learning outcomes: A Page 26.1754.10 meta-analytic survey. Journal of Educational Psychology, 106, 901-918.2. Sabo, K. E., Atkinson, R. K., Barrus, A. L., Joseph, S. S., & Perez, R. S. (2013). Searching for the two sigma advantage: Evaluating algebra intelligent tutors. Computers in
- 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
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- Diversity
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- 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
- 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
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- Computers in Education
theimpedance modulus and phase, as well as others parameters (C or L, Q) and plot the values onthe LCD display. Page 26.1775.6 Figure 3. Winning Project Europe Region - 2014USA RegionThe first Digital Design Competition was organized at Rose Hulman Institute of Technology, In,USA, starting in the academic year 2006-2007. The contest was very popular among students, anaverage of 10-15 students participating every year, despite a very busy schedule. Students whopresented their final projects received professional development credits. Starting in 2012, thecontest became national and the last three editions were organized as
- Conference Session
- Innovative Use of Technology II
- Collection
- 2015 ASEE Annual Conference & Exposition
- Authors
- Matthew A. Verleger, Embry-Riddle Aeronautical University, Daytona Beach
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- Computers in Education
: A Description of CPR. 2007, (2003).15. Gehringer, E. F. Electronic Peer Review and Peer Grading in Computer-Science Courses. Thirty-second SIGCSE technical symposium on Computer Science Education (2001).16. Liu, E. Z., Lin, S. S. J., Yuan, S. & Chiu, C. Web-Based Peer Review: The Learner as Both Adapter and Reviewer. IEEE Trans. Educ. 44, 246–251 (2001).17. Moreira, D. A. & Silva, E. Q. A Method to Increase Student Interaction Using Student Groups and Peer Review over the Internet. Educ. Inf. Technol. 8, 47–54 (2003).18. Ngu, A. H. H., Shepherd, J. & Magin, D. Engineering the ‘Peers’ System: The Development of a Computer-Assisted Approach to Peer Assessment. in Research and Development in
- Conference Session
- Computers in Education Division Poster Session
- Collection
- 2016 ASEE Annual Conference & Exposition
- Authors
- Joshua Levi Weese, Kansas State University; William H. Hsu, Kansas State University
- Tagged Topics
- Diversity
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- Computers in Education
number of repeated markers known headers (question, > (𝒕𝒉𝒓𝒆𝒔𝒉 − 𝟑) 2 ques, q, pre, post) Table 1. Heuristics for identifying the header row.In order to identify the boundaries of the payload within the data, we first start by identifying theheader row of the payload. The header row consists of column names of the various columnsavailable in the assessment scores. These could be student particulars such as name, identifier, orgender, or the particular assessment information, such as grade, question number, or aggregatescore. Our model consists a series of heuristics that score rows and columns for identifyingwhich row contains column headers, and which rows contain
- 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
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- Diversity
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- 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 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
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- Diversity
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- 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
- 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
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- Diversity
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- Computers in Education
can enhance students’engagement and develop their process of learning. However, there is a lack of well-organizedguidelines (Azmi et al., 2015).In one study, Ibanez et al. (2014) developed a Q-learning game platform to investigate the effectsof gamification on a learning activity targeted at basic concepts of C programming language toundergraduate students. According to the mixed-methods study, gamified learning activities had asignificant positive impact on the students’ engagement and improved their academicperformance. Game elements such as badges, points, leaderboard, and altruism were inserted intothis game platform. Students reported that points were the most motivating element to participatein activities. However, the authors indicated