Conference Session

Computers and Learning

Collection

2013 ASEE Annual Conference & Exposition

Authors

Hoda Baytiyeh, American University of Beirut

Tagged Divisions

Computers in Education

these activities. Participants were also asked torate, using a 4-point Likert-type scale (1 = very little, 4 = very much), 22 items that reflected thedegree to which their internet use affected their skills. Exploratory factor analysis generated fourknowledge factors involved in internet use: non-formal, informal, professional, and social.Informal was shown to be the most important knowledge factor for participants, followed bynon-formal, social, and professional.IntroductionVarious researchers have examined the impact of internet use on academic performance andachievement of students, and have come to diverse conclusions. On one hand, some researchersfound a negative effect of internet use. Kubey, Lavin, and Barrows 1 for example found

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

− Centered Centered Reflection− Centered Community Figure 1: HPL Framework for Learning EnvironmentsAccording to HPL, the learning environment and activities should be designed to be: 1. Learner-centered: Account for the knowledge, skills, preconceptions, and common miscon- ceptions of the learners; 2. Knowledge-centered: Help students learn with understanding by thinking qualitatively and Page 23.1391.3 organizing their knowledge around key concepts; 3. Reflection

Conference Session

Best of Computer in Education Division

Collection

2013 ASEE Annual Conference & Exposition

Authors

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

Tagged Divisions

Computers in Education

Department. Her current research interests focus on technology in engineering education, human com- puter interaction, educational data mining, and scientific visualization.Dr. Christopher B. Williams, Virginia Tech Professor Dr. Chris Williams is an assistant professor with a joint appointment with the Department of Mechanical Engineering and the Department of Engineering Education at Virginia Tech. He is the director of the Design, Research, and Education for Additive Manufacturing Systems (DREAMS) Laboratory and the co-director of Virginia Tech’s Center for Innovation-based Manufacturing. His joint appointment reflects his diverse research interests in Additive Manufacturing (3D Printing), design methodology, and

Conference Session

Computers in Education (CoED) Engineering Poster Session

Collection

2013 ASEE Annual Conference & Exposition

Authors

Fred W DePiero, California Polytechnic State University

Tagged Divisions

Computers in Education

fashion, but hints may be provided for critical steps. Establish TLC as a safe learning environment. Query students on tactics that they may use when tackling a problem, provide feedback on relative merits ofWhat if? methods chosen.Teacher’s Role: Lead students on process of self-discovery Ask students to identify an application of course topics, to reflect on relative merits of a technique, to create an analogy

Conference Session

Computers in Education Division - General Technical Session 1

Collection

2013 ASEE Annual Conference & Exposition

Authors

Glenn W Ellis, Smith College; Yanning Yu, Northwestern University

Tagged Divisions

Computers in Education

engineering education in the United States remains largelyunexplored.A distinctive feature of knowledge building is that it is idea-centered, a characteristic essential ina knowledge age pedagogy. By focusing on ideas rather than schoolwork and tasks, knowledgebuilding supports the intentional, reflective, and metacognitive engagement required for deeplearning. In a knowledge-building environment the focus of the learning community is oncontinually improving ideas. It begins with a question of understanding that is developed by theparticipants, such as, Why do we need water to survive? Learners are encouraged to generate andpost their ideas about the topic--typically in an asynchronous, online group workspace such asprovided by Knowledge Forum

Conference Session

Computers in Education Division - General Technical Session 2

Collection

2013 ASEE Annual Conference & Exposition

Authors

Steven F Barrett, University of Wyoming; Ivo Wambeke

Tagged Divisions

Computers in Education

Education Excellence Award.Ivo Wambeke Page 23.1065.1 c American Society for Engineering Education, 2013 Service Learning: Industrial Embedded Systems CourseAbstractService learning is defined by the National Service-Learning Clearing House as “a teaching andlearning strategy that integrates meaningful community service with instruction and reflection toenrich the learning experience, teach civic responsibility, and strengthen communities.” Aservice learning capstone project was incorporated into a senior/graduate level industrial controlcourse. The course provides instruction on control system

Conference Session

Computer Based Grading and Learning Styles

Collection

2013 ASEE Annual Conference & Exposition

Authors

Dan Cernusca, Missouri University of Science & Technology; Clayton E Price, Missouri University of Science and Technology

Tagged Divisions

Computers in Education

computer language tocode their algorithms for the larger problems and therefore their efforts would be spent onsolving the problem.For CS 053/054, the two courses’ instructors meet weekly to coordinate instruction in two ways:1) to insure that all students in all sections have the same materials presented in like manner andat the same time, and 2) to coordinate the topics of the lab exercises to reflect the current topicsin the lectures. So doing, all students will have seen the same material presented prior to startingthe lab exercise.CS 053 is a traditional lecture course. The first lecture is used to set the stage for the rest of thesemester by going over the syllabus, how programs are submitted, and so on. All other lecturesare dedicated to

Conference Session

Computer Based Grading and Learning Styles

Collection

2013 ASEE Annual Conference & Exposition

Authors

Bobby G Crawford P.E., U.S. Military Academy; Lynn K Byers, U.S. Military Academy; Rebecca Zifchock, United States Military Academy

Tagged Divisions

Computers in Education

higher percentage of verballearners prefer MATLAB compared to their visual counterparts.IntroductionTheoretically, there are several different learning styles that can be observed in students. Oneway to assess these learning styles is to use the “Index of Learning Styles” designed by RichardFelder and Barbara Soloman2. The questionnaire assesses the students’ learning styles based onfour dimensions of learning: Active vs Reflective, Sensing vs Intuitive, Visual vs Verbal, andSequential vs Global. This study focused only on the Visual vs Verbal and Sequential vs Globaldimensions of the questionnaire. The purpose of this research is to determine the learning stylesof the students enrolled in Computer Aided Design, as taught in the Mechanical

Conference Session

Computers in Education Division - General Technical Session 1

Collection

2013 ASEE Annual Conference & Exposition

Authors

Jacob P. Moore, Virginia Tech; Michel Paul Pascale; Christopher B. Williams, Virginia Tech; Chris North, Virginia Tech

Tagged Divisions

Computers in Education

for Engineering Education, 2013 TRANSLATING EDUCATIONAL THEORY INTO EDUCATIONAL SOFTWARE: A CASE STUDY OF THE ADAPTIVE MAP PROJECTAbstractIn this paper, the authors describe the development of an instructional software, wheredevelopers engaged in the process of translating educational theory into a cyber-learning tool,and the challenges encountered in evaluating its usability and effectiveness of the tool as alearning aid. Specifically, the authors reflect on their experience in creating the “Adaptive Map”– an instructional software designed to help students gain conceptual understanding of largestores of content information. This concept map -based system explicitly shows how discreteconcepts are linked to the whole of the course with

Conference Session

Tablets, Mobile and Technology

Collection

2013 ASEE Annual Conference & Exposition

Authors

Steven Chingnam Goh, University of Southern Queensland; Linda Ann Galligan, University of Southern Queensland; Harry Ku, University of Southern Queensland

Tagged Divisions

Computers in Education

Strongly Agree Agree Neutral Disagree Strongly Disagree Page 23.1373.10 Fig. 6. The recorded lectures are audible and the video is clear. 9Results in Fig. 7 clearly indicate that the majority of students prefer the option of viewingrecorded lectures offline. We believe that the results reflect the fact that a large portion ofexternal student cohorts at USQ are working professionals, who are busy with their

Conference Session

Computers in Education Division - General Technical Session 2

Collection

2013 ASEE Annual Conference & Exposition

Authors

Oscar Antonio Perez, University of Texas at El Paso; Mike Thomas Pitcher, University of Texas, El Paso; Pedro Arturo Espinoza, University of Texas, El Paso; Hugo Gomez, University of Texas, El Paso; Virgilio Gonzalez, University of Texas, El Paso; Herminia Hemmitt, University of Texas at El Paso; Randy Hazael Anaya, University of Texas, El Paso; Peter Golding, University of Texas, El Paso

Tagged Divisions

Computers in Education

progressively advanced student use of Apple iPads within introduction to engineeringcourses at The University of Texas at El Paso (UTEP). We report the findings of our analysis ofthree consecutive years of iPad use. The blossoming use of iPads and the pervasive student use oftechnology increase the pertinence of this study. K-12 and college classroom use of technology isincreasing rapidly. These technological tools provide balance between cost, functionality andportability. This has caused a paradigm shift in the use of computing devices for mainstreamcourse applications. Presently, we our analysis reflects the results from studying the impact of iPaduse on students’ academic performance. This has been achieved using a subset of courseobjectives for a

Conference Session

Robots and K-12 Computer Applications

Collection

2013 ASEE Annual Conference & Exposition

Authors

Cheryl D. Seals, Auburn University; Earl B. Smith, Georgia Southern University

Tagged Divisions

Computers in Education

the influx and progression of K-12students through graduate school in programs that lead to computing careers. This material isbased in part upon work supported by the National Science Foundation under Grant NumberCNS-0540492. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.Bibliography1. Fiegerman, S. (2010). The Dumbest States in America. Jan 21, 2010. Retrieved from http://www.mainstreet.com/slideshow/lifestyle/smartest-dumbest-states.2. Shahami, M. (2008). Overview of the New Undergraduate Computer Science Curriculum. Stanford Research Institute, http://www.stanford.edu/class/cs298

Conference Session

Computers and Learning

Collection

2013 ASEE Annual Conference & Exposition

Authors

Khalid W Khawaja, American University in Dubai

Tagged Divisions

Computers in Education

Colleges ,Volume 22 Issue 4, April 2007, p 252-259.3. Marilee J. Bresciani, Megan Moore Gardner, and Jessica Hickmott. DemonstratingStudent Success : A Practical Guide to Outcomes-Based Assessment of Learning andDevelopment in Student Affairs. s.l. : Stylus Publishing, 2010. 9781579225155.4. Sarah Earl, Fred Carden and Terry Smutylo. Outcome Mapping : Building Learningand Reflection into Development Programs. Ottawa, ON, CAN : IDRC Books, 2001.5. Closing the Training Loop with Enterprise Technologies and Solutions. Khawaja, KhalidW. Bonn, Germany : IBIMA, Managing Information in the Digital Economy: Issues andSolutions, 2006, pp. 716-719.6. A Task-Centered Instructional Strategy. Merrill, M. David. 1, 33-50, s.l. : Journal ofResearch on Technology

Conference Session

Online Learning

Collection

2013 ASEE Annual Conference & Exposition

Authors

Petronella A James-Okeke, Morgan State University; Craig J. Scott, Morgan State University; Yacob Astatke, Morgan State University; Jumoke Oluwakemi Ladeji-Osias, Morgan State University; LaDawn E. Partlow M. Eng., Morgan State University; Kofi Nyarko, Morgan State University

Tagged Divisions

Computers in Education

assessment report (FCAR). Faculty Course Assessment Report (FCAR)The faculty course assessment report (FCAR) is utilized by Faculty to summarize course levelobservations and actions. The FCAR (Figure 6) can be automatically generated for any courseand serves as a record for all qualitative and quantitative information for the course and related Page 23.88.11outcomes that are assessed. This report contains a breakdown of how well the course satisfied itsassigned outcomes, as well as information on the modifications made to the course, the studentfeedback, reflections, proposed actions, and grade distribution. Changes to any course can betracked

Conference Session

Computers and Learning

Collection

2013 ASEE Annual Conference & Exposition

Authors

Pramod Rajan, Laboratory for Innovative Technology & Engineering Education (LITEE); P.K. Raju, Auburn University; Chetan S Sankar, Auburn University College of Engineering

Tagged Divisions

Computers in Education

thoseof the authors and do not necessarily reflect the views of the National Science Foundation. .References1. Games for Scientific and Engineering Education ( 2007). Communications of the ACM, 50(7)2. Dabbagh, N., & Menasce, D.A. (2006). Student perceptions of engineering entrepreneurship: An explanatorystudy. Journal of Engineering Education.3. Raytheon Company. Retrieved from http://investor.raytheon.com/phoenix.zhtml?c=84193&p=irol-newsArticle&ID=1631503&highlight=4. Connolly, T. M., Boyle, E. A., MacArthur, E., Hainey, T., Boyle, J. M. (2012). A systematic literature review ofempirical evidence on computer games and serious games. Computers & Education, 59(2),661-6865. Dym, C., Agogino, A., Eris, O., Frey, D., &

Conference Session

Tablets, Mobile and Technology

Collection

2013 ASEE Annual Conference & Exposition

Authors

Frank V Kowalski, Colorado School of Mines; Susan E. Kowalski, Colorado School of Mines; Tracy Q Gardner, Colorado School of Mines

Tagged Divisions

Computers in Education

, what they do know, andhow they know it. A corollary of this is that once students realize they don’t know something, Page 23.1328.4they are more receptive to instruction and are “primed” to learn. This motivation is difficult tomeasure, but appears repeatedly in student attitude surveys we have collected. These twoexamples of student comments reflect some of these ideas: • “It's good to be able to formulate an answer right away to see if you understand it. Without it, when a professor is teaching something new, you think you know how to do it until you try to work on it later and realize there was an aspect you needed clarification

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

Directorat the Center of Engineering Education and Outreach at Tufts University. Hynesreceived his B.S. in Mechanical Engineering in 2001 and his Ph.D. inEngineering Education in 2009 (both degrees at Tufts University). Inhis current positions, Hynes serves as PI and Co-PI on a number offunded research projects investigating engineering education in theK-12 and college settings. He is particularly interested in howstudents and teachers engage in and reflect upon the engi- neering designprocess. His research includes investigating how teachers conceptualizeand teach and how students engage in engineering through in-depth case study analysis

Conference Session

Best of Computer in Education Division

Collection

2013 ASEE Annual Conference & Exposition

Authors

Jacob Bishop, Utah State University; Matthew A Verleger, Embry-Riddle Aeronautical Univ., Daytona Beach

Tagged Divisions

Computers in Education

indicate that the effect of PBL on skills is positive, whileits effect on knowledge is negative. Combined results indicate an overall negative effect for problem-based learning. Gijbels et al. [30] recommend careful consideration of assessment methods inmeasuring problem-based learning outcomes.4.5 Active LearningPrince [61] defines active learning broadly as, “any instructional method that engages students inthe learning process.” This definition is itself broad enough to include many traditional classroomactivities such as lectures (provided students are reflecting, taking notes, or asking questions).However, in an effort to maintain contrast with traditional teacher-centered3 approaches, thesemethods are systematically dismissed by explicit