Conference Session

Computers in Education Poster Session

Collection

2011 ASEE Annual Conference & Exposition

Authors

Chris Smaill, University of Auckland; Colin Coghill, University of Auckland

Tagged Divisions

Computers in Education

teachers: students of senior physics are by no means guaranteed a teacher whomajored in physics. Such students are most likely disadvantaged in terms of both subjectskills and inclination to further study. The American Society for Engineering Education,reflecting the nation‟s anxiety over the situation in the U.S., in 2003 established a K-12 &Pre-College Engineering Division (website available at http://k12division.asee.org/).Many universities are now funding outreach programs to increase the number of engineeringundergraduates 4-15. Ideally, such outreach programs should have two positive outcomes:participating students should be both better prepared for and better informed aboutengineering careers. The University of Auckland‟s (UoA‟s

Conference Session

Computers in Education Poster Session

Collection

2006 Annual Conference & Exposition

Authors

Lisa Jones, Southwest Tennessee Community College; James M. Northern, Southwest Tennessee Community College

Tagged Divisions

Computers in Education

techniques.AcknowledgementThe authors would like to thank Hewlett-Packard for the HP Technology for Teaching Grantwhich provided the wireless tablets used in this study.Bibliography[1] "Looking at the Freedom to Learn program through different lenses. (1 to 1 Computing)." T.H.E. Journal (Technological Horizons In Education) 32.8 (March 2005): S1(2).[2] Harless, S. & Harthun-Reed, A. "Laptop initiative creates equal educational opportunities. (Case study: Bear Lake Middle School)." T.H.E. Journal (Technological Horizons In Education) 32.8 (March 2005): S6(1).[3] Barton, C. & Collura, K. "Catalyst for change (Feature)." T.H.E. Journal (Technological Horizons In Education) 31.4 (Nov 2003): NA(6).[4] Willis, C. & Miertschin, S. “Mind Tools for

Conference Session

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

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Fadi Castronovo, California State University, East Bay; Robert Schaffer, Mission College; Varsha Reddy Kandi

Tagged Divisions

Computers in Education

Game 2. Apply team communication strategies 1. Explain concepts of project scheduling Project Virtual 2. Create project management https://psu.box.com/s/79h0o2y Management Construction Desktop plans osbb25bk1ggzionus9o5mzdgk Lecture Topic Simulator 4 3. Evaluate scheduling choices and factors

Conference Session

Computers in Education Division Technical Session 8: Modulus Topics

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Aneet Dharmavaram Narendranath, Michigan Technological University

Tagged Divisions

Computers in Education

matrix, K1, possesses all the properties that make it an unconstrainedstructure. Stiffness matrices that are extracted from commercial packages may also be used andthis can be done in the future (please see summary section). The logic to identify these wouldremain the same. At the time of writing of this work-in-progress paper, a fundamental,one-dimensional spring element problem is used to provide a stiffness matrix.nSize =34;K1 = r e p m a t (K, n S i z e ) ;The second matrix (K2) is K1 with it’s non-zero elements replaced by -rand*rand. This is not astiffness matrix as it lacks the property of being symmetric and having non-zero, positive diagonalelements.K2 = K1 ;K2 ( any ( K2 ( : ) ) ) = −r a n d . ∗ r a n d ;The third matrix (K3) is a

Conference Session

Computational Tools and Simulation III

Collection

2009 Annual Conference & Exposition

Authors

El-Sayed Aziz, Stevens Institute of Technology; Sven Esche, Stevens Institute of Technology; Constantin Chassapis, Stevens Institute of Technology

Tagged Divisions

Computers in Education

/10569.2. Kolb, D. A., (1984), “Experimental learning: experience as the source of learning”, Prentice-Hall, Englewood Cliffs, New Jersey, USA.3. Freitas, S., (2006), “Learning in immersive worlds: a review of game-based learning”, Prepared for the JISC e- Learning Program: http://www.jisc.ac.uk/media/documents/programmes/elearninginnovation/gamingreport_v3.pdf.4. Pivec, M. & Kearney, P., (2007), “Games for learning and learning from games”, An International Journal of Computing and Informatics Journal, vol. 31, no. 4, pp. 419-423.5. Arango, F., (2007), “Tools and concepts to transform a multi-player computer game into a virtual laboratory environment”, Master’s Thesis, Stevens Institute of Technology.6. World of

Conference Session

CoED: Potpourri

Collection

2017 ASEE Annual Conference & Exposition

Authors

Ronald F. DeMara P.E., University of Central Florida; Baiyun Chen, University of Central Florida; Richard Hartshorne, University of Central Florida; Ramtin Zand, University of Central Florida

Tagged Divisions

Computers in Education

s Exams Tutor Measure Integrity  E Grading … P Graduate Assistants Computerized Scholar

Conference Session

Computer Tools for Education

Collection

2007 Annual Conference & Exposition

Authors

Vinod Lohani, Virginia Tech; Ricky Castles, Virginia Tech; Jenny Lo, Virginia Tech; Odis Griffin, Virginia Tech

Tagged Divisions

Computers in Education

(S) or Number Multi Name of of (M) Major TabletPrimary School or Program of Students Course Software or Some Findings Regarding Student in theAuthor Research Firm Study in Study Study Activity Study University of Classroom increased student engagement and real-Anderson Washington CS 44 M Presenter time feedback from instructor DePauw DyKnow well received by students andBerque University CS 81 M DyKnow

Conference Session

Computers in Education Poster Session

Collection

2011 ASEE Annual Conference & Exposition

Authors

Neelam Soundarajan, Ohio State University

Tagged Divisions

Computers in Education

transition to becoming a professional in the disci-pline. The overlap in the ovals labeled knowledge-centered and reflection-centered corresponds tothe fact that the reflective activities by the student are based on the assessments of the knowledgeitems represented by the knowledge-centered components.Consider next the oval labeled “learner-centered” in Fig. 1. A key observation regarding studentlearning 2,36 made in recent research on how people learn is that “[s]tudents come to the classroomwith preconceptions –often incorrect– about how the world works, which include beliefs and priorknowledge acquired through various experiences . . . effective teaching [must] elicit the preexist-ing understanding and provide opportunities to build on, or

Conference Session

Computers in Education 1 - Programming 1

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Frank Vahid, zyBooks; University of California, Riverside; Roman Lysecky, University of Arizona; zyBooks; Bailey Alan Miller, University of California, Riverside; Lyssa Vanderbeek, zyBooks

Tagged Divisions

Computers in Education

like scores and statistical data, occupying another column of agradebook. And, a textual representation can be parsed by scripts for additional analysis. The main tradeoff is losing the graphical benefit of showing time simply as a bar with width representing time spent.3.1 Basic develop and submit runsAs an initial attempt, we tried a compact version of the log file for a given student: dev dev dev dev sub(0) dev dev dev sub(2) sub(5) dev dev sub(10)While enabling a quicker view than a detailed log, we realized the short words weren’t needed. Instead,we could use single letters, and eliminate spaces. We used d for each develop run, and s for each submitrun followed by the score on that run. The student below did 4 develop runs, then

Conference Session

Computers in Education Division Technical Session 6: Computer Science Freshman Courses

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Joe Michael Allen, University of California, Riverside; Frank Vahid, University of California, Riverside

Tagged Divisions

Computers in Education

functions) was easier in Coral than it 2.86would have been in C++I think learning Coral first made C++ easier to learn 2.75I think my C++ code is neater/cleaner because I learned Coral first 2.52I struggled with Coral's syntax 1.31I struggled with C++'s syntax 2.41I would have preferred to learn C++ through the whole course, without Coral 1.97I think learning Coral first caused me to struggle more with C++ syntax than I would haveotherwise

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

Response Mean 1 s 5 4 High Performance Computing1 and Big Data 15 8 5 1 3 1 33 2.27 Usage of HPC Integration in2 Real World Applications 13 8 6 2 2 2 33 2.45 Usage of Information to Impact K-16 Educator in3 Addressing/Supporting the 10 8 7 3 1 4 33 2.82 Computing Industry Workforce ShortageQuestion 14: What is your overall perception of the workshop

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

Tablet and Portable PCs for Education

Collection

2009 Annual Conference & Exposition

Authors

Sabina Jeschke, University of Stuttgart; Lars Knipping, Technische Universitaet Berlin; Nicole Natho, Technische Universitaet Berlin; Erhard Zorn, Technische Universitaet Berlin; Olivier Pfeiffer, Technische Universitaet Berlin

Tagged Divisions

Computers in Education

AC 2009-747: FACING THE INFORMATION FLOOD WITH TABLET PCSSabina Jeschke, University of Stuttgart After receiving her M.Sc. in Physics at the Berlin University of Technology in 1997, graduating with distinction, Sabina Jeschke worked as an assistant teacher at the department for mathematics and natural sciences and earned her doctorate in 2004. Holding a scholarship from the German National Academic Foundation, she spent several months of research at the NASA in Moffet Field, CA. In 2000 and 2001, S. Jeschke worked as an instructor at the GaTech (Georgia Institute of Technology, Atlanta). Since 2005, Sabina Jeschke has been associate professor for "New Media in Mathematics and Natural

Conference Session

Programming for Engineering Students I

Collection

2009 Annual Conference & Exposition

Authors

Arlen Planting, Boise State University; Sin Ming Loo, Boise State University

Tagged Divisions

Computers in Education

.c memory image.text.global set_bit5set_bit5: andi r6,r5,1 # isolate passed bit slli r2,r6,5 # move to ACTIVE position movi r3,~(1<<5) # movi r5,~(0x20) ==> -33 and r4,r4,r3 # zero ACTIVE position or r2,r4,r2 # merge new bit value Page 14.1112.11 ret.endFigure 14. set_bit5.s (Assembly language) source code 100x00020214 : andi r6,r5,10x00020218 : slli r2,r6,50x0002021c : movi r3,-330x00020220 : and r4,r4

Conference Session

Technical Session 12: Teaching and Learning

Collection

2019 ASEE Annual Conference & Exposition

Authors

Florian Schmidt, TU Berlin; Franz-Josef Schmitt, Technische Universität Berlin; Laura Boeger, TU Berlin; Arno Wilhelm-Weidner, Technische Universitaet Berlin; Nicole Torjus

Tagged Divisions

Computers in Education

research andinstruction. Curriculum Models for the 21st Century, 73-89. New York: Springer.[6] Bonk, C. J., & Graham, C. R. (2006). The handbook of blended learning: globalperspectives, local design. Pfeiffer.[7] Schultz, D., Duffield, S., Rasmussen, S.C., & Wagemann, J. (2014). Effects of the flippedclassroom model on student performance for advanced placement high school chemistrystudents. J. Chem. Educ., 91(9), 1334–1339.[8] Holmes, M. R., Tracy, E. M., Painter, L. L.; Oestreich, T., & Park, H. (2015). Movingfrom flipcharts to the flipped classroom: Using technology-driven teaching methods to promoteactive learning in foundation and advanced master’s social work courses. Clinical Social WorkJournal, 43, 215–224[9

Conference Session

Computers in Education Division Technical Session 4: Digital Learning Part II

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Fadi Castronovo, California State University, East Bay; Jesus Oliver Ph.D., California State University, East Bay; Andrew Stanciulescu, California State University, East Bay

Tagged Divisions

Computers in Education

, additional experimentalprocedures, such as mixed designs, will be developed to capture and mitigate for any ordereffects.7. Acknowledgements The authors’ work was generously supported by the Association of Public and Land-grantUniversities, the National Science Foundation, and the CSU East Bay College of Science.Bibliography[1] C. C. Bonwell, “Active learning: Creating excitement in the classroom,” George Washington University, Washington D.C., 1, 1991.[2] S. Freeman ​et al.,​ “Active learning increases student performance in science, engineering, and mathematics,” ​Proc. Natl. Acad. Sci.​, vol. 111, no. 23, pp. 8410–8415, 2014.[3] S. D. Johnson and R. M. Fischbach, “Teaching Problem Solving and Technical Mathematics through

Conference Session

CoED General Technical Session I

Collection

2012 ASEE Annual Conference & Exposition

Authors

Jonathan M. Hill, University of Hartford; Devdas Shetty, University of Hartford

Tagged Divisions

Computers in Education

# open u3 library06 d = u3.U3() # open and report the device07 print d.configU3()['DeviceName']0809 # bitmap representing channels, with FIO0 being the lsb10 d.configIO(FIOAnalog = 0x03)1112 # For single ended channels, match each with NChannel 3113 d.streamConfig( NumChannels = 2, PChannels = [ 0,1],\14 NChannels = [ 31,31], Resolution = 3,\15 SampleFrequency = 2500 )16 missed = 0; dataCount = 017 d.streamStart()18 myfile = open(FILE_NAME,"w")1920 for r in d.streamData():21 if r is not None:22 if dataCount >= MAX_REQUESTS: # The stop condition23 break24 if r['errors'] != 0:25 print "--- Error: %s ; " % r['errors']26

Conference Session

Hardware Applications

Collection

2011 ASEE Annual Conference & Exposition

Authors

Alisa N. Gilmore, University of Nebraska, Lincoln; Jose M. Santos, University of Nebraska, Lincoln; Aaron Joseph Mills, Iowa State University

Tagged Divisions

Computers in Education

, builds, and races solar powered electric vehicles. His interests lie primarily in the area of embedded system hardware and software development. Page 22.364.1 c American Society for Engineering Education, 2011 Computer Interface Innovations for an ECE Mobile Robotics Platform Applicable to K-12 and University StudentsSince the 1990’s, robots have been adopted into K-12 classrooms and a host of Universityprograms to engage and motivate students in STEM achievement and to aid in teaching coreSTEM disciplines. The robots used in these efforts have ranged from commercially

Conference Session

Computers in Education General Technical Session I

Collection

2011 ASEE Annual Conference & Exposition

Authors

Yizhe Chang, Stevens Institute of Technology; El-Sayed Aziz, Stevens Institute of Technology; Sven K. Esche, Stevens Institute of Technology; Constantin Chassapis, Stevens Institute of Technology

Tagged Divisions

Computers in Education

. Educational Researcher, Vol. 35, No. 8, pp. 19-29.[6] Freitas, S. D. (2006). Learning in immersive worlds: A review of game-based learning. Online report, prepared for the JISC e-Learning Program.[7] Wang, G. G. (2006). Bringing games into the classroom in teaching quality control. The International Journal of Engineering Education, Vol. 20, No. 5, pp. 678-689.[8] Ebner, M. & Holzinger, A. (2007). Successful implementation of user-centered game based learning in higher education: An example from civil engineering. Computers and Education Journal, Vol. 49, No. 3, pp. 873-890. Page 22.43.12

Conference Session

Data Analytics in Education

Collection

2014 ASEE Annual Conference & Exposition

Authors

Conrad Tucker, Pennsylvania State University, University Park; Barton K. Pursel, The Pennsylvania State University; Anna Divinsky

Tagged Divisions

Computers in Education

/IT.NET.USER.P2. Accessed December 12, 2013.2. MIT OpenCourseWare | Free Online Course Materials. Available at: http://ocw.mit.edu/index.htm. Accessed December 12, 2013.3. Online Schools, Classes, Degree Programs - University of Phoenix. Available at: http://www.phoenix.edu/. Accessed December 12, 2013.4. Clow D. MOOCs and the funnel of participation. In: Proceedings of the Third International Conference on Learning Analytics and Knowledge. LAK ’13. New York, NY, USA: ACM; 2013:185–189. doi:10.1145/2460296.2460332.5. Green K. Massive Open Online Courses (MOOCs) and Other Digital Initiatives. J Collect Bargain Acad. 2013;(8). Available at: http://thekeep.eiu.edu/jcba/vol0/iss8/10.6. Yuan L, Powell S. MOOCs and Open Education

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

believethat our modules had a greater impact on those students who were newer to computationalthinking, over those who had prior experience and were enrolled in upper-level computationalcourses.1 IntroductionAccording to Wing, Computational Thinking (CT) is the thought processes involved informulating a problem and expressing its solution(s) in such a way that an information processor– human or machine – can effectively carry out that solution [1]. The educational philosophybehind Computational Thinking is that problems in every discipline can be solved by the tools ofcomputation such as algorithmic thinking, decomposition, abstraction, pattern recognition. Forinstance, one of the pillars of computational thinking is algorithmic thinking

Conference Session

Technical Session 9:Topics related to STEM

Collection

2019 ASEE Annual Conference & Exposition

Authors

Lori M Caldwell, Utah State University; Angela Minichiello P.E., Utah State University

Tagged Divisions

Computers in Education

-direction calculated using images from the mobile phone and high-speed camera and v is the velocity in the y-direction calculated from images using the mobilephone and high-speed camera. Overall, the difference between the mobile phone and the high-speed camera setup is low (max error less than 0.2 m/s) (Figure 7). Figure 8. Difference between mobile PIV and industrial PIV using the absolute difference (Eq. 1). Overall, calculated velocity was similar between the two setups.ConclusionsWe completed a preliminary proof of concept of a mI-PIV device that will be refined forimplementation in classrooms in both high school and undergraduate levels. Our PIV tool isinexpensive, designed using open access image analysis code, and fully mobile. We

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

Computer Simulation and Animation II

Collection

2008 Annual Conference & Exposition

Authors

Christiaan Gribble, Grove City College

Tagged Divisions

Computers in Education

). s i x e l p v i e w " p o i n t ど b u f f e r z Figure 2: The z-buffer algorithm. Scene geometry is projected toward the screen, and the z-buffer is used to resolve visible surfaces based on the distance between an object and the view point. In this case

Conference Session

Computing Technology Session 2

Collection

2017 ASEE Annual Conference & Exposition

Authors

Elif Miskioglu, Bucknell University; Kaela M Martin, Embry-Riddle Aeronautical University, Prescott

Tagged Divisions

Computers in Education

use that information to develop and testinterventions that may accelerate student development of engineering intuition.References1 Raskin, P. Decision-Making by Intuition--Part 1: Why You Should Trust Your Intuition. Chemical Engineering, 100 (1988).2 Gigerenzer, G. Short cuts to better decision making. (Penguin, 2007).3 Kahneman, D. Thinking, Fast and Slow. New York, NY: Farrar, Straus, and Giroux. (Macmillan, 2011).4 Elms, D. G. & Brown, C. B. Intuitive decisions and heuristics–an alternative rationality. Civil Engineering and Environmental Systems, 274-284 (2013).5 Dreyfus, S. E. & Dreyfus, H. L. A Five-Stage Model of the Mental Activities Involved in Directed Skill Acquisition (1980

Conference Session

Technical Session 4: Modulus Topics 1

Collection

2019 ASEE Annual Conference & Exposition

Authors

Yamuna Rajasekhar, zyBooks; Alex Daniel Edgcomb, Zybooks; Frank Vahid, University of California, Riverside

Tagged Divisions

Computers in Education

minutes. Most students correctly solvedthe seventh level on the first try, suggesting they had learned the objective. We took a look atsubmissions by students who made many attempts. One such student needed 4 tries to completelevel 1, 2 tries for level 2, 1 try for level 3, 4 tries for level 4, 1 try for level 5, 10 tries for level 6,and 1 try for level 7. The student spent about 5 minutes in total. Two weeks later, the samestudent worked through the activity again, perhaps preparing for an exam, and completed in justover 1 minute and making only 3 incorrect submissions across all levels. Note: The sectioncovering K-map has multiple challenge activities, and this is just 1 of them.6. Challenge activity: Enter output of an SR latch given input s

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

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

exposed to basic concepts ofcomputation and computer programming, without having to go beyond the user friendly blocksbased interface. Figure 6 shows an arena for the maze-based educational game. Page 26.17.7 Figure 6: Maze-based Educational Game.Note that our proposed “gamification” of robot-programming satisfies several rules of goodgame design for learning. First, it provides the student an opportunity for active learning,wherein s/he learns the concepts of programming while trying to score points in the game. Evenas the student is engrossed in the game to score points, s/he is involuntarily learning andpracticing

Conference Session

Innovative Use of Technology II

Collection

2015 ASEE Annual Conference & Exposition

Authors

Shuang Wei, Purdue University, West Lafayette; Yingjie Chen, Purdue University, West Lafayette; Tim McGraw, Purdue University; April Ginther, Purdue University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

., Dobrovolsky, M. & Katamba, F. Contemporary linguistics: an introduction. (Longman, 1996).9. Fraser, H. Teaching pronunciation: A handbook for teachers and trainers. (2001). at 10. Dina, A.-T. & Ciornei, S.-I. The Advantages and Disadvantages of Computer Assisted Language Learning and Teaching for Foreign Languages. Procedia-Soc. Behav. Sci. 76, 248–252 (2013).11. Kim, I.-S. Automatic Speech Recognition: Reliability and Pedagogical Implications for Teaching Pronunciation. J. Educ. Technol. Soc. 9, 322–334 (2006).12. Talebi, F. & Teimoury, N. The Effect of Computer- assisted Language Learning on Improving EFL Learners’ Pronunciation Ability. World J. Engl. Lang. 3, (2013).13. Inouye, K. K., Sheres, S. C