Conference Session

Computers in Education (CoED) Engineering Poster Session

Collection

2013 ASEE Annual Conference & Exposition

Authors

Gregory Augustus Krudysz, Georgia Institute of Technology

Tagged Divisions

Computers in Education

withconcept mapping”, Science, Vol. 331, No. 6018 pp. 772-775 , Feb. 20113. D.R. Woods, “An evidence-based strategy for problem solving,” Journal of Engineering Education, Washington,vol. 89, no. 4, pp. 443–460, 2000.4. K. VanLehn, S. Siler, C. Murray, T. Yamauchi and W. B. Baggett, “Why Do Only Some Events Cause LearningDuring Human Tutoring?”, Cognition and Instruction, Vol. 21, No. 3, pp. 209-249, 20035. T. P. Novikoff, J. M. Kleinberg and S. H. Strogatz, “Education of a Model Student,” Proc. Natl. Acad. Science,23 Jan. 2012.6. F. N. Dempster, "Spacing Effects and Their Implications for Theory and Practice", Educational PsychologyReview, 1989 Vol 1, Issue 4, pg. 3097. Bloom, B. S. (1984), 'The 2 Sigma Problem: The Search for Methods of Group

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

Downstream impacted High School 60. [G-SRT.9] Derive the formula for the area of a triangle by drawing an auxiliary line from a vertex perpendicular to the opposite side. Downstream impacted High School 61. [S-ID.1] Represent data with plots on the real number line (dot plots, histograms, and box plots). Downstream impacted High School 62. [S-ID.2] Use statistics appropriate to the shape of the data distribution to compare center and spread of two or more different data sets. Downstream impacted High School 63. [S-ID.3] Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data

Conference Session

Computers in Education Division Technical Session 8: Modulus Topics

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Safia Malallah, Kansas State University; Joshua Levi Weese, Kansas State University

Tagged Divisions

Computers in Education

curriculum.IntroductionSince 2006 the popularity of computational thinking (CT) - skills for solving problems byadopting the theoretical concepts of computer science - has been increasing substantially,leading to an increase in the amount of research and experiments on the CT method. Yet,there are limited numbers of inquiry investigate approaches to incorporated CT into acurriculum. Betül Czerkawski researched ways to integrate CT across all curriculum, throughsurveying instructional CT designers. She constructed the survey using the ADDIEinstructional design model. One of her findings showed that the Mind Map(s) (MM) strategycan establish a better connection between CT and instructional design [1]; however, verylittle research existed to investigate the correlation

Conference Session

Computational Tools and Simulation I

Collection

2009 Annual Conference & Exposition

Authors

Dianne Raubenheimer, North Carolina State University; Jeff Joines, North Carolina State University; Amy Craig, North Carolina State University

Tagged Divisions

Computers in Education

job.However, the risk adverse individuals may conclude that the worst and most likely cases arebelow their current salary and decide to accept the new offer. Table 2: Example of level 2 task solutionCo m m ission % 2%Cu rre nt S a la ry $5,000Ba se S a la ry $3,000Bre a kEve n (L S L ) $2,000 M o st Like ly Ca se Be st Ca se W o rst Ca seRe ve n ueRental F ee per Unit $2,100 $2,500 $2,000Units under Leas e 85 100

Conference Session

Programming for Engineering Students I

Collection

2009 Annual Conference & Exposition

Authors

Melinda Hess, University of South Florida; Autar Kaw, University of South Florida; Corina Owens, University of South Florida

Tagged Divisions

Computers in Education

multiple and innovative approaches.AcknowledgmentsThis material is based upon work supported by the National Science Foundation underGrant No 0717624 and 0836981, and the Research for Undergraduates Program in theUSF College of Engineering. Any opinions, findings, and conclusions orrecommendations expressed in this material are those of the author(s) and do notnecessarily reflect the views of the National Science Foundation. We want to thank Dr.James Eison of the USF College of Education who helped in designing the assessmentinstrument for external evaluation.References 1. Maple 12, Advancing mathematics. http://www.maplesoft.com/, accessed January 2009. 2. MATHCAD 13, The industry solution for applying mathematics. , accessed

Conference Session

First Year Computing Topics

Collection

2017 ASEE Annual Conference & Exposition

Authors

Vanessa Svihla, University of New Mexico; Woong Lim, University of New Mexico; Elizabeth Ellen Esterly, University of New Mexico; Irene A Lee, MIT; Melanie E Moses, Department of Computer Science, University of New Mexico; Paige Prescott, University of New Mexico; Tryphenia B. Peele-Eady Ph.D., University of New Mexico

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

all’curriculum, in Improving science education: The contribution of research, J. Millar, Editor. 2000, McGraw-Hill Education: UK. p. 147-164.4. Varma, R., Making computer science minority-friendly. Communications of the ACM, 2006. 49(2): p. 129-134.5. Sjøberg, S., Investing all children in 'science for all', in Improving science education: The contribution of research, J. Millar, Editor. 2000, McGraw-Hill Education: UK. p. 165-186.6. Jenkins, E., 'Science for all’: Time for a paradigm shift, in Improving Science Education: The Contribution of Research, J. Millar, Editor. 2000, McGraw-Hill Education: UK. p. 207-226.7. Duschl, R., Making the nature of science explicit, in Improving science education: The

Conference Session

The Best of the Computers in Education

Collection

2017 ASEE Annual Conference & Exposition

Authors

Paul Morrow Nissenson, California State Polytechnic University, Pomona; Faye Linda Wachs, California Polytechnic State University, Pomona; Juliana Lynn Fuqua, California State Polytechnic Pomona University; Yitong Zhao, California State Polytechnic University Pomona; Sofia Pedroza, University of California, Irvine; Angela C. Shih, California State Polytechnic University, Pomona

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

data such as parent educationlevel and ethnicity.5. AcknowledgmentsThe authors would like to thank the Cal State University Course Redesign with Technologyprogram for providing funding for this redesign effort. The authors also would like to thankundergraduate student assistants Chantel Ylaya and Sekani Robinson for assisting with the datacollection and analysis.6. References[1] Felder, R. M. and Brent, R. (2009). Active learning: An introduction. ASQ Higher Education Brief, 2 (4).[2] Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., and Wenderoth, M. P.(2014). Active learning increases student performance in science, engineering, and mathematics. Proceedings of theNational Academy of Sciences, 111, 8410-8415.[3

Conference Session

Computer-Based Tests, Problems, and Other Instructional Materials

Collection

2015 ASEE Annual Conference & Exposition

Authors

Dongdong Zhang, Prairie View A&M University; Xiaobo Peng, Prairie View A&M University; Bugrahan Yalvac, Texas A&M University; Deniz Eseryel, North Carolina State University; Uzair Nadeem, Prairie View A&M University; Atiq Islam, Prairie View A&M University; Deron Arceneaux, Prairie View A&M University

Tagged Divisions

Computers in Education

do not necessarily reflect the views of the National Science Foundation. Page 26.737.13References1. Palaigeorgiou, G. and Despotakis, T., 2010, ―Known and Unknown Weaknesses in Software Animated Demonstrations (Screencasts): A Study in Self-Paced Learning Settings,‖ Journal of Information Technology Education: Research, 9(1), pp. 81-98.2. Lloyd, S. and Robertson, C. L., 2012, ―Screencast Tutorials Enhance Student Learning of Statistics‖, Teaching of Psychology, 39(1), pp.67-71.3. De Grazia, J. L., Falconer, J. L., Nicodemus, G., and Medline, W., 2012, ―Incorporating Screencasts into Chemical Engineering Courses

Conference Session

Computers in Education Division Poster Session

Collection

2014 ASEE Annual Conference & Exposition

Authors

Neelam Soundarajan, Ohio State University; Swaroop Joshi, Ohio State University; Rajiv Ramnath, Ohio State University

Tagged Divisions

Computers in Education

to achieve isinstead intended to be achieved, typically, via on-line video lectures which the students are respon-sible for viewing before attending the in-person class meeting. The in-person meeting is devotedto answering questions (that students may have based on their viewing of the corresponding videolecture(s)), joint problem solving activities, as well as other active learning tasks that provide in-dividual and group practice. The expectation is that, given the ability of active learning tasks toengage students in learning, the approach will help students better achieve the intended learningoutcomes of the course; and, as an added bonus, students’ abilities with respect to such importantprofessional skills as team work and

Conference Session

Effective Use of Technology in Education

Collection

2016 ASEE Annual Conference & Exposition

Authors

Myrtede Christie Alfred, Clemson University; Morris Branchell Lee III; David M. Neyens, Clemson University; Anand K. Gramopadhye, Clemson University

Tagged Divisions

Computers in Education

moving from the simulations and virtual environments to the real-worldenvironment. Future work should examine the affect of students learning a skill in a computerenvironment and how their emotions evolve as they attempt to transfer skills learned in computerenvironments to real world applications. Future research should also examine whether thefindings from this study are consistent across different tasks and different 2D and 3Dimplementations.AcknowledgementsThis work was supported by the National Science Foundation under Grant No. DUE-1104181. Anyopinions, findings, and conclusions or recommendations expressed in this material are those of theauthor(s) and do not necessarily reflect the views of the National Science Foundation. This work was

Conference Session

Educational Software

Collection

2007 Annual Conference & Exposition

Authors

Anthony Rynne, University of Limerick; William Gaughran, University of Limerick

Tagged Divisions

Computers in Education

curriculum. Overallthe work adds to knowledge of how best to train and teach PM, informs the debate on the bestpedagogical approaches, identifies modelling issues about how and where to start on themodelling journey, about how best to develop 3D modelling capabilities in users.Bibliography1. Bhavnani, S. K., John, B. E. & Fleming, U. (1999) The Strategic Use of CAD: An Empirically Inspired, Theory-Based Course. Proceedings of CHI 1999, May 15-20.2. Bhavnani, S. K. & John, B. E. (1996) Exploring the Unrealised Potential of Computer-Aided Drafting.3. Bhavnani, S. K. (2000) Designs Conducive to the Use of Efficient Strategies. Symposium on Designing Interactive Systems 2000.4. Hartman, N. W. (2004) Defining Expertise in the Use

Conference Session

General Technical Session 1

Collection

2014 ASEE Annual Conference & Exposition

Authors

Shanshan Li, Purdue University; Yang Chen, Purdue University; David M. Whittinghill, Purdue University, West Lafayette; Mihaela Vorvoreanu, Purdue University, West Lafayette

Tagged Divisions

Computers in Education

is an Assistant Professor of Computer Graphics Technology and Computer and Information Technology. Dr. Whittinghill’ s research focuses on simulation, gaming and computer pro- gramming and how these technologies can more effectively address outstanding issues in health, educa- tion, and society in general. Dr. Whittinghill leads projects in pediatric physical therapy, sustainable energy simulation, phobia treat- ment, cancer care simulation, and games as a tool for improving educational outcomes. Dr. Whittinghill is the director of GamesTherapy.org. Prior to joining Purdue he was a senior software engineer in the research industry focused upon the fields of visualization, games, agent-based modeling, digital

Conference Session

Tablets Large and Small

Collection

2012 ASEE Annual Conference & Exposition

Authors

Mahnas Jean Mohammadi-Aragh, Virginia Tech; Christopher B. Williams, Virginia Tech

Tagged Divisions

Computers in Education

the end of their second semester, could be a reason for thisdifference.Table 1. Student survey responses regarding note taking.Questions (15 Respondents) N R S QO VOI take notes in DyKnow by writing with the stylus. 4 9 1 1 0I take notes on my computer by writing with the stylus in a 7 2 2 1 3program other than DyKnow (e.g., One Note).I take notes in DyKnow by typing. 2 4 6 1 2I take notes on my computer by typing in a program other 4 3 6 1 1than DyKnow (e.g., Microsoft Word).I take notes with pen and paper. 6 0 1 4 4N = Never, R = Rarely

Conference Session

Technology-Related Educational Research

Collection

2016 ASEE Annual Conference & Exposition

Authors

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

Tagged Divisions

Computers in Education

original ideas, including those on cognitive conflict triggering learning in children werefurther elaborated and expanded by various learning scientists and applied to K–12 as well as col-lege education. For instance, Doise and Mugny 4 conducted various studies about how cognitiveconflict impacts learning. Their work showed that the other learner(s) who held the conflictingviews did not need to be physically present, as long as the learners in question saw the conflictingviews as being those of peers. While triggering cognitive conflict is possible even without en-gaging with peers (e.g., via refutation text 5 instead), combining it with peer-interaction has majoradvantages. First, interaction with peers encourages the student to verbalize the

Conference Session

Computers and Simulation

Collection

2012 ASEE Annual Conference & Exposition

Authors

Hatem M. Wasfy, Advanced Science and Automation Corp.; Tamer M. Wasfy, Indiana University-Purdue University, Indianapolis; Jeanne Peters, Advanced Science and Automation Corp.

Tagged Divisions

Computers in Education

: Page 25.641.7  cp d& d& ≥ 0 Fnormal = A kp d + A (21) & d& < 0  s p cp d d& = vn i ni (22) Contact surface r Contact n point

Conference Session

Computers in Education (CoED) Engineering Poster Session

Collection

2013 ASEE Annual Conference & Exposition

Authors

Neelam Soundarajan, Ohio State University

Tagged Divisions

Computers in Education

Conference Session

Computers in Education 8 - Video Technology

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Markus Iseli, University of California, Los Angeles; Tianying Feng, University of California, Los Angeles; Gregory Chung, University of California, Los Angeles; Ziyue Ruan; Joe Shochet, codeSpark; Amy Strachman, codeSpark

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

. During the six weekly in-classsessions, a total of 85,058 telemetry events were recorded. Telemetry data contain timestampswith events, which are listed together with their associated parameters in Table 1.Table 1. Subset of telemetry events as captured in the research version of codeSpark Academywith their visualization. The column “Visualization Markers” contains markers that will be usedin our visualizations, which will be discussed in the Methods section. Telemetry Event Marker PuzzleStart: Sent at the beginning of every puzzle level s PuzzleResult: Sent at the end of every puzzle level *,2*,3* CommandAdded: A

Conference Session

Mobile Robotics in Education

Collection

2007 Annual Conference & Exposition

Authors

David Ahlgren, Trinity College; Igor M Verner, Technion--Israel Institute of Technology

Tagged Divisions

Computers in Education

research of affective learning in engineeringeducation.References[1] R. Picard, S. Papert, W. Bender, B. Blumberg, C. Breazeal, D. Cavallo, T. Machover, M. Resnick, D. Roy, and C. Strohecker (2004): Affective Learning – A Manifesto. BT Technology Journal, 22(4), 253-269.[2] V. DeBellis, and G. Goldin (2006): Affect and Meta-Affect in Mathematical Problem Solving: A Representational Perspective. Educational Studies in Mathematics, 63(2), 131-147.[3] Hofer, B. K., & Pintrich, P. R. (Eds.). (2002). Personal epistemology. The psychology of beliefs about knowledge and knowing. Mahwah, NJ: Laurence Erlbaum Associates.[4] Bandura, A. Self-efficacy. In V. S. Ramachaudran (Ed.), Encyclopedia of Human Behavior Vol. 4, pp. 71-81, 1994. New

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

AC 2007-1483: THE USE OF A COURSE MANAGEMENT SYSTEM INENVIRONMENTAL ENGINEERING FOR THE EDUCATION OF THE GLOBALCITIZENLupita Montoya, Rensselaer Polytechnic Institute Lupita D. Montoya is Assistant Professor of Environmental Engineering in the Civil and Environmental Engineering Department at Rensselaer Polytechnic Institute. She earned her BS degree in Engineering from California State University, Northridge, her MS in Mechanical Engineering and her PhD in Environmental Engineering from Stanford University.Chris Moore, Rensselaer Polytechnic Institute Chris S. Moore is a Course Developer in the Distributed Education and Multimedia Department at Rensselaer Polytechnic Institute. He has served as

Conference Session

Robots in Education

Collection

2009 Annual Conference & Exposition

Authors

David Ahlgren, Trinity College; Igor Verner, Technion-Israel Institute of Technology

Tagged Divisions

Computers in Education

self-efficacy in engineering education, Journal of Engineering Education, 90(2), 247-251.[9] D. J. Ahlgren and I. M. Verner (2007). Building Self-Efficacy in Robotics Education. Proc. of 2007 ASEEAnnual Conference, Honolulu.[10] S. Bhandari, P. Gautam, D. Ahlgren. “Implementation of RF communication with TDMA algorithm in swarmrobots”. Proc. IEEE International Conference on Technologies for Practical Robot Applications, 2008, pp. 68-73[11] K. Nepal, A. Fine, N. Imam, D. Pietrocola, N. Robertson, D. Ahlgren. “Combining a Modified Vector FieldHistogram Algorithm and Real-time Image Processing for Unknown Environment Navigation”. Proc. IS&T/SPIE21st Annual Symposium, San Jose, January 2009

Conference Session

Software Engineering Concepts

Collection

2017 ASEE Annual Conference & Exposition

Authors

Joe Michael Allen, University of California, Riverside; Frank Vahid, University of California, Riverside; Shayan Salehian, University of California, Riverside; Alex Daniel Edgcomb, Zybooks

Tagged Divisions

Computers in Education

) to students and teachers whowish to master basic skills so as to enable focus on higher-level thought in math and computing.II. BackgroundGaming has become one of the most popular pastimes in world. In 2016, the EntertainmentSoftware Association surveyed over 4,000 U.S. households and found that 63% of householdshave at least one person who plays video games for at least 3 hours a week [5]. This amount is anincrease from the same study done in 2015 which found 42% of households had a gamer [7].Furthermore, ​Granic found ​that 97% of American children and adolescents play games for atleast one hour per day in the United States [9]. Since the first video games were released in the1950’s [10], games have improved on the visuals, storyline, and

Conference Session

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

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Robert L. Avanzato, Pennsylvania State University, Abington

Tagged Divisions

Computers in Education

educators to developadditional resources for MATLAB and ROS programming of low-cost robot manipulators thatare effective in the classroom and laboratory. These results also have significance to theintroduction of modern robotics concepts, including industrial robots and intelligentmanufacturing, into lower division engineering courses, K-12 and STEM activities.7.0 References[1] https://www.ros.org/ [Accessed April 26, 2020][2] S. A. Wilkerson, J. Forsyth, C. Sperbeck, M. Jones, and P. D. Lynn, “A Student Project using RoboticOperating System (ROS) for Undergraduate Research,” 2017 ASEE Annual Conference & Exposition,Columbus, Ohio, June 2017. Available: https://peer.asee.org/27515 [Accessed April 26, 2020][3] A. Yousuf, W. Lehman, M. A. Mustafa

Conference Session

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

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Tamaike Brown, State University of New York at Oswego; Gursimran Singh Walia, Georgia Southern University; Alex David Radermacher, North Dakota State University; Maninder Singh, St. Cloud State University; Mourya Reddy Narasareddygari, Rider University

Tagged Divisions

Computers in Education

Paper ID #30621Effectiveness of Using Guided Peer Code Review to Support Learning ofProgramming Concepts in CS2 Course: A Pilot StudyDr. Tamaike Brown, State University of New York at Oswego Assistant Professor of Computer Science, Department of Computer Science, State University of New York at OswegoDr. Gursimran Singh Walia, Georgia Southern University Gursimran S. Walia is Professor of Computer Science at Georgia Southern University. His main research interests include empirical software engineering, software engineering education, human factors in soft- ware engineering, and software quality. He is a member of the IEEE

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

Tagged Divisions

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

Technical Session 5: Topics related to Engineering

Collection

2019 ASEE Annual Conference & Exposition

Authors

Paul Morrow Nissenson, California State Polytechnic University, Pomona; Nolan Tsuchiya P.E., California State Polytechnic University, Pomona; Mariappan Jawaharlal, California State Polytechnic University, Pomona; Angela C. Shih, California State Polytechnic University, Pomona

Tagged Divisions

Computers in Education

Engineering Education AnnualConference & Exposition, Honolulu, Hawaii, USA, June 24-27, 2007.[9] S. Zappe, R. Leicht, J. Messner, T. Litzinger, and H. Lee, “ ‘Flipping’ the classroom to explore active learning ina large undergraduate course,” in Proceedings of the 2009 American Society of Engineering Education AnnualConference & Exposition, Austin, TX, USA, June 14-17, 2009.[10] D. Bolliger, S. Supanakorn, and C. Boggs, “Impact of podcasting on student motivation in the online learningenvironment.” Computers & Education, vol. 55, 714-722, 2010.[11] P. Johanes and L. Lagerstrom, “Online Videos: What every instructor should know,” in Proceedings of the2016 American Society of Engineering Education Annual Conference & Exposition, New

Conference Session

Computer-Based Tests, Problems, and Other Instructional Materials

Collection

2015 ASEE Annual Conference & Exposition

Authors

Matthew West, University of Illinois, Urbana-Champaign; Geoffrey L. Herman, University of Illinois, Urbana-Champaign; Craig Zilles, University of Illinois, Urbana-Champaign

Tagged Divisions

Computers in Education

.References [1] J. R. Anderson. Learning and memory: An integrated approach. John Wiley and Sons, second edition, 2000. [2] A. D. Baddeley. Human Memory: Theory and Practice. Psychology Press, second edition, 1997. [3] F. B. Baker and S.-H. Kim. Item Response Theory: Parameter estimation techniques. Marcel Dekker, second edition, 2004. [4] L. Crowley and G. L. Herman. Using faculty communities to drive sustainable reform: Learning from the Strategic Instructional Initiatives Program. In ASEE 2014: Proceedings of the American Society for Engineering Education 121st Annual Conference and Exposition, 2014. Paper ID #9052. [5] J. L. Davis and T. McDonald. Online homework: Does it help or hurt in the long run? In ASEE 2014: Proceedings

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

Conference Session

Web-Based Education

Collection

2006 Annual Conference & Exposition

Authors

William Schleter, University of Tennessee-Knoxville; Richard Bennett, University of Tennessee-Knoxville

Tagged Divisions

Computers in Education

homeworksystem and an invaluable teaching and learning tool.References1 Bugbee, A. C. (1996). The Equivalence of Paper-and-Pencil and Computer-Based Testing. Journal of Research onComputing in Education, 28(3), 282-299, 1996.2 Bonham, S., Beichner, R., Titus, A., and Martin, L. (2000). Education research using web-based assessmentsystems. Journal of Research on Computing in Education, 33, 28-45.3 Tang, G. and Titus, A., (2002). Increasing Students’ Time on Task in Calculus and Physics Courses throughWebAssign. Proceedings of the 2002 ASEE Conference.4 Thoennessen, M and Harrison, M. J. (1996) “Computer-Assisted Assignments in a Large Physics Class.”Computers and Education, 27,141 1996.5 Hall, M, Parker, J, Minaei-Gigdoli, B., Albertelli, G., Kortemeyer

Conference Session

Programming for Engineering Students

Collection

2007 Annual Conference & Exposition

Authors

Tammy VanDeGrift, University of Portland

Tagged Divisions

Computers in Education

different recipe creations and Figures 4 and 5 depict two landscapes. As the reader can see,students chose their own recipe to customize and chose their own landscape to depict. Page 12.608.10Ingredients for 4.0 servings of Scrunchy Sweet and Sour Chicken:4.0 egg yolksSalt and Ground Black Pepper4.0 skinless, boneless chicken breast halves, cubedVegetable oilThe following is for the Sweet and sour sauce to top the chicken; it is tailored to the 4.0servings you requested1.0 Onion(s), sliced1.0 Small Red Pepper(s), cut into one inch pieces1.0 Small Orange Pepper(s), cut into one inch pieces1.0lb of Pacific Friend Pineapple cubes in natural juice1.0tbsp