Collection

2014 ASEE Zone 1 Conference

Authors

Orla Smyth LoPiccolo

Proceedings of 2014 Zone 1 Conference of the American Society for Engineering Education (ASEE Zone 1) Improving Spatial Reasoning Ability While Learning Energy Efficient Construction: Students Who Build Physical Models vs. Students Who Develop 3D Computer Models Orla Smyth LoPiccoloAbstract: Olkun defines spatial reasoning as “the mental the development of students’ spatial reasoning inmanipulation of objects and their parts in 2D and 3D freshman non-design courses.space.” In a previous study, the author found that physicalmodel building increased student spatial reasoning by 12%on average, as compared to drawing the same topic as an II

Collection

2014 ASEE Zone 1 Conference

Authors

Yuanyao Liu; Zhengping Wu

of the most important aspects and Critical events usually appear in some frequent event requirement in cloud computing environment [13, 14].patterns. These critical event patterns present system Reliability is the proper functioning of the system under thefull range of conditions experienced in the field [1]. In order to learning has been studied for decades [7, 8, 9, 11, 12].increase the reliability of systems, there must be some Agrawal also presents an Apriori-based method in [3]. Thismechanisms in systems can either avoid the system failures algorithm is Generalized Sequential Pattern algorithm (GSP).and faults or adjust systems to prevent the more serious GSP finds

Collection

2014 ASEE Zone 1 Conference

Authors

Thomas Goddard; Konstantin Litovskiy; Nathan Nichols-Roy; Matthew Reed; Igor Shvartser; Nicholas Smith; David Zeppa; Linda Werner; Julia E. Rice; Hans W. Horn; Amanda C. Engler

diagram In addition to learning background material, the student B. Difficulty defining data-modelsteam decided that it would be beneficial to maintain contactwith an intermediary to assist with answering chemistry Chemists and computer scientists communicate in tworelated questions that arose during the implementation phase. different ways. Chemists talk in terms of the applicationThe course professor sought a student with an organic domain, while the computer scientists talk in terms of thechemistry background to assist with the initial student team by implementation domain. We needed to bridge that gap byserving as an intermediary between the student team and the creating a

Collection

2014 ASEE Zone 1 Conference

Authors

Mohammed-Noor Naher Al-Maghrabi; Ahmed A. Abdou El-Abbasy

Proceedings of 2014 Zone 1 Conference of the American Society for Engineering Education (ASEE Zone 1) Educational Computer Program for Simulating Behavior of Structures under Dynamic Loads Mohammed-Noor N. Al-Maghrabi and Ahmed A. Abdou El- Abbasy Engineering. In 1934 Professor Lydik Jacobsen and his Abstract— Saudi Arabia has constructed many universities in student, John Blume, developed the first field instrument forthe last decade. Civil, mechanical, and mining engineering strong shaking of structures and investigated the performancedepartments have courses deal

Collection

2014 ASEE Zone 1 Conference

Authors

Tiago Martins Ribeiro; Raimundo Pereira da Cunha Neto

ASEE 2014 Zone I Conference, April 3-5, 2014, University of Bridgeport, Bridgpeort, CT, USA. Method for Computational Intelligence Based on Behavior of Grasshoppers Tiago Martins Ribeiro Raimundo Pereira da Cunha Neto Coordination of Computer Science Coordination of Computer Science Centro de Ensino Unificado de Teresina - CEUT Centro de Ensino Unificado de Teresina - CEUT Teresina, Brasil Teresina, Brasil tiagomartinz@hotmail.com netocunhathe@gmail.com

Collection

2014 ASEE Zone 1 Conference

Authors

Franco Capaldi

used to guide solution. Each time an equation or diagram is entered into thea student through the solution process. system, the student receives feedback on the correctness of the While students have different learning styles, and professors entry.often have different teaching styles, it is becoming The SGS system allows students the ability to interact bothincreasingly clear that effective assessment and immediate graphically, and through equations with a problem. Studentsstudent feedback can produce beneficial results in the can explore the three dimensional figure presented along withclassroom [1]. Computer systems are ideally suited

Collection

2014 ASEE Zone 1 Conference

Authors

Leslie Chandrakantha

many college degree programs. Understanding of There are many on-line sources that allow students tostatistical concepts such as sampling distributions, confidence simulate random variables and test statistics and to visualizeintervals, hypothesis testing, and p-values is not easy for many their distributional properties. However, almost withoutstudents and many educators are conducting research on exception, these on-line sources either build their simulationteaching and learning [2], [10], [13]. Computers have had a application using something other than a simple spreadsheet,tremendous impact on teaching statistics at any level. or may not provide the source code. These web

Collection

2014 ASEE Zone 1 Conference

Authors

Tomislav Bujanovic; Prasanta Ghosh

Proceedings of 2014 Zone 1 Conference of the American Society for Engineering Education (ASEE Zone 1) Laboratory Experiments for Enhanced Learning of Electromechanical Devices Tomislav Bujanovic and Prasanta Ghosh, Senior Member, IEEE new smart grid workforce. In the Department of Electrical Abstract— In advanced Power Engineering and Smart Grid Engineering and Computer Science we have developed smartLaboratory environment students get opportunities to grid laboratory to support both undergraduate and graduatedemonstrate their ability to design and conduct experiments

Collection

2014 ASEE Zone 1 Conference

Authors

Yves Ngabonziza; Hendrick Delcham

graduate studiesthe entire academic pipeline, and makes difficult courseworkmore relevant. As educators, we are always looking for ways [9]. In addition, the use of inquiry-based activities effectivelystudents can enhance their learning; one possibility is to link thetheoretical knowledge we provide to them in the classroom with, addresses misconceptions held by undergraduate engineeringnot only real life applications, but also with job market students [10].requirements they will face once they graduate. This paperdescribes how the use of computer simulation was introduced in Many technological advances (such as laboratoryThermodynamics class to supplement and help students

Collection

2014 ASEE Zone 1 Conference

Authors

Thair Jamal Khdour; Shaima Salem

Proceedings of 2014 Zone 1 Conference of the American Society for Engineering Education (ASEE Zone 1) The effects of integrating knowledge management with E- Learning systems Thair Khdour Shaima Salem Computer Information Systems Department Amman College for Financial and Managerial Science Albalqa Applied University Albalqa Applied University Salt 19117 Jordan Amman Jordan khdour@bau.edu.jo shaima_mis@yahoo.com Abstract—since the

Collection

2014 ASEE Zone 1 Conference

Authors

Thomas Dodson; Nicholas Mattei; Joshua T. Guerin; Judy Goldsmith; Joan M. Mazur

Proceedings of 2014 Zone 1 Conference of the American Society for Engineering Education (ASEE Zone 1) Lessons Learned from Development of a Software Tool to Support Academic Advising Nicholas Mattei, Thomas Dodson, Joshua T. Guerin, Judy Goldsmith, Joan M. Mazur should also be able to guide the students in selecting courses Abstract— We detail some lessons learned while designing and that are best suited to their abilities and goals. Finally,testing a decision-theoretic advising support tool for advisors should be able to refer students to support services,undergraduates at a

Collection

2014 ASEE Zone 1 Conference

Authors

Dan Tenney; Naif Jalal

movements such asrotate, toss and zoom. In order to reduce the chance ofdisease transfer, touch screens may be made to respondto stylus (computer pens) and specially layered glovesmay be worn. Through the multi touch function thestudents can control what is being demonstrated on the Figure 1: Schematic represses education of the proposedtouch screen e.g. by zooming the size of the image. SMART TABLE2) Extensive Content and Resources 4) UDL Friendly The SMART Table will have wide range of activity The Smart table will be configured according to thepackages. They can be downloaded free of charge from specifics of the Universal Design for Learning. Thisthe SMART Exchange Website which can

Collection

2014 ASEE Zone 1 Conference

Authors

Richard Millham

effective learning method. [9, 10] Of these self-instruction methods, computer-aided instruction was found to be the most effective. [11] Because computer – II. LITERATURE REVIEW aided instruction allows students to take responsibility for their own learning and to proceedSouth Africa’s education system, according to at their own pace, this instruction has additionalSimkins [2], suffers from consistently poor benefits such as reduced learning time, proof ofstandardized

Collection

2014 ASEE Zone 1 Conference

Authors

Joseph A. Levert; Andy Grosso

Proceedings of 2014 Zone 1 Conference of the American Society for Engineering Education (ASEE Zone 1) NYSID’s Project CREATE: An Organizational Model for Service Learning through Assistive Technology Development Joseph A. Levert, Member, ASEE, Andy Grosso the product of the students’ design experience serves the needs Abstract — Project CREATE (Cultivating Resources for of others in the community.Employment with Assistive Technology) is an organizationestablished by NYSID (New York State Industries for

Collection

2014 ASEE Zone 1 Conference

Authors

Mohammadjafar Esmaeili; Ali Eydgahi

ASEE 2014 Zone I Conference, April 3-5, 2014, University of Bridgeport, Bridgpeort, CT, USA. The Relationship of Active Learning Based Courses and Student Motivation for Pursuing STEM Classes Mohammadjafar Esmaeili Ali Eydgahi Eastern Michigan University Eastern Michigan University College of Engineering Technology College of Engineering Technology Ypsilanti, MI, USA Ypsilanti, MI, USA mesmaeil@emich.edu aeydgahi@emich.edu

Collection

2014 ASEE Zone 1 Conference

Authors

Teresa Piliouras; Pui Lam Yu; Kristin Villanueva; Holly Robillard; Yingxin Chen; Michael Berson; Jeanne R. Lauer; Garret Sampel; Daniel Lapinski; Maigh Attre

for managing learning outcomes and costs across ourMeeting the Technology Literacy Challenge – was released by entire education system at all levels.” The reportthe United States Department of Education in 1996. The report acknowledges that the country “has a long way to go if we arestressed the importance of fostering student technology to see every student complete at least a year of higherliteracy in schools, and the need to provide classroom access education or postsecondary career training. There is no way toto computer facilities and the Internet [18]. achieve this target unless we can dramatically reduce the In 2000, the second NETP was published: e-Learning– number of

Collection

2014 ASEE Zone 1 Conference

Authors

James Accuosti

active engagement. Across the range of software programs, 37just in the United States but internationally. Windschitl finds studies indicate that children generally prefer morethat researchers have only recently invested themselves in participatory forms of computer-assisted instruction [20].”serious study of how teachers come to use technology in their External forces coax education institutions to drastically alterclassrooms and what kinds of influences shape their thinking their objectives. Going back to Owen and Demb, “With[5]. In social context of education and knowledge, learning is missions closely tied to the needs of workforce developmentnever stagnant – it is dynamic. To analyze how technology

Collection

2014 ASEE Zone 1 Conference

Authors

Frank Caserta; James McCusker; Gloria Ma

that the first-yearengineering students were at risk for failure in statics, control theory and computer graphicssince calculating vector components is fundamental to learning these subjects.At the end of fall 2013, one of us (McCusker) administered a second test to his students. In thistest the students were asked to calculate a vertical component (height of a building), given thehorizontal component (base line) and angle of elevation of the top of the building (see AppendixB). One section was given access before, but not during, the test to an animated, computergraphics altitude calculator coded in MATLAB and the other control group wasn’t given access.(See Figures 1 and 2 for a summary of their responses.)The tests did not record the gender

Collection

2014 ASEE Zone 1 Conference

Authors

Sithisone Kalaya; Hussain A. Alhazmi

The object avoiding algorithm for robot2 is the same asWhile samples <= 100 // 100 scanning samples robot1 algorithm however, robot2 will make right – left – (Y = 20) // move forward 20 centimeters right turned to keep its original path. To learn more about our mobile robot and see our full videos please see Scan environment for X1, X2, and X3 http://cpsc460robotics.weebly.com/. Sent (X1, X2, X3 ) to host computer If (X2 < 15) //obstacle is detected inside the critical zone 3). Room dimension algorithm

Collection

2014 ASEE Zone 1 Conference

Authors

Ketul B Shah; Aritra Ghosh; Md Naim Hossain; Young Lee

sensors to support science inquiry learning. Thus, the combination of learning activities to be conducted acrossmain research question addressed in this paper can be different educational contexts such as schools, nature andformulated as follows: science centers/museums. This indoor-outdoor integration of mobile computing has expanded the important feature of context 2awareness into learning environments. From an

Collection

2014 ASEE Zone 1 Conference

Authors

Madina Mansurova; Darkhan Akhmed-Zaki; Anna Pyrkova

also formation of the skills necessary for Darkhan Akhmed-Zaki is with the al-Farabi Kazakh National transfer of existing courses and training programs in the E-University, Kazakhstan (phone: +7-777-2469374; e-mail: darhan.ahmed- Learning environment, is very actual. Introduction of the E-zaki@kaznu.kz). Madina Mansurova is now with the Department of Computer Science, Learning for training of specialists at the companies allows theal-Farabi Kazakh National University, Kazakhstan (e-mail: company executive to increase efficiency of educationalmadina.mansurova@kaznu.kz). process; to strengthen prestige of the enterprise, having raised

Collection

2014 ASEE Zone 1 Conference

Authors

Amer H. Daggag

"The energy and climate change implications of Entertainment & Media Sectors," Journal of different music delivery methods," Journal of Industrial Ecology vol. 14, pp. 770-790, 2010. Industrial Ecology, vol. 14, pp. 754-769, 2010. [22] M. Lee, "Digital tackles and challenges to[7] K. Moore, M. Griffiths, H. Richardson, and A. institutional mores of learning: social memory and Adam, "Gendered futures? Women, the ICT the formative nature of learning," Journal of workplace and stories of the future," Gender, Work & Computer Assisted Learning, vol. 26, pp. 53-64, Organization, vol. 15, pp. 523-542, 2008

Collection

2014 ASEE Zone 1 Conference

Authors

Beverly Woolf; Enid Sichel; Mark Floryan

the simulation” rather than reflect on and interpret what they see [5]. Our system attempts to address all Manuscript received February 14, 2014. This research was funded by acooperative grant from the National Science Foundation, #0940967 and of these issues simultaneously. The simulations do not always#1143659, “Authoring tool for a hands-on, on-line, lab curriculum for improve learning. For example, researchers at Purdueengineering technology students”, Course, Curriculum, and Laboratory University evaluated the use of computer-simulationImprovement

Collection

2014 ASEE Zone 1 Conference

Authors

Katherine Aho; Kavitha Chandra; Ed Roberts

fields in the United States and STEM jobs are projected at Haverhill High School in Haverhill, MA. The decision toto increase by 17% by 2018 [1]. Because of this, it is now introduce programming to the students was a result of theeven more important to expose students to writing computer partnership between the University of Massachusetts Lowellprograms. Not only does it prepare the students for the new job and Haverhill High School through the National Sciencemarket, it also teaches the students critical thinking skills that Foundation (NSF) GK-12 Fellowship program. The role of thethey otherwise may not learn through traditional high school graduate fellow assigned to the aforementioned classes was

Collection

2014 ASEE Zone 1 Conference

Authors

Carolyn Jean Sher-DeCusatis; Casimer DeCusatis

administrative Manuscript received February 7, 2014. This work was supported in part byequipment donations from Columbia University and Stanford University, and jobs in this environment traditionally involves complex,software donations by Xilinx Corporation. vendor-specific practitioner certification exams, which rely on C.J. Sher-DeCusatis is an assistant professor of Computer Engineering memorizing switch configuration commands and learning howTechnology at New York City College of Technology, Brooklyn, NY 11201 to implement hop-by-hop distributed networks. These skillsUSA (csher-decusatis@citytech.cuny.edu). C. DeCusatis

Collection

2014 ASEE Zone 1 Conference

Authors

Girma Tewolde

. COMPUTER ENGINEERING SUMMER DAY CAMP CURRICULUM Day 1: • Introduction to mobile robotics.The curriculum has two major components: • Building your first Lego robot. 1) Mobile Robotics – Build mobile robots using Lego or • NXT Hardware and intro to programming. other kits, program robots, learn different types of Day2: sensors and integrate them with robots, control robot with programs running on a phone. • ROBOTC programming

Collection

2014 ASEE Zone 1 Conference

Authors

Melody Baglione

root locus and frequency response analysis methods, computer simulations using MATLAB, and PID control applications. The project aims to improve student learning and motivation by leveraging a new Leadership in Energy and Environmental Manuscript received February 7, 2014. This research is supported by NSFTUES DUE No. 1044830. Design (LEED) Platinum certified academic building, shown M. Baglione is with the Mechanical Engineering Department, The Cooper in

Collection

2014 ASEE Zone 1 Conference

Authors

Sudhanshu Sinha; Manohar Mareboyana

foreground. To adapt the model a sliding window is usedmodel using a simplified mean-shift computation and K-Meansclustering can produce results that are comparable to those by Mittal and Paragios [11]. Also, Kim, Harwood, andobtained by other methods. The proposed approach was tested Davis [33] proposed a layered modeling technique to updateon video data obtained from Wallflower test images from its the background for scene changes. Tang, Miao, Wan and Li,source website. The results are encouraging and show the [19] have proposed a method that automatically locates thevalidity of this approach for background modeling. foreground object coarsely by a salient detection algorithm

Collection

2014 ASEE Zone 1 Conference

Authors

Shanon Reckinger; Blanca Aca; Katherine Pitz

). The curriculum more balance demographic than engineering, but those areasis for a five day learning experience and research project that are still unbalanced [1]. It is possible that thesepresents the different ways to study fluid dynamics: theory,observations, experiments, and computations. Curriculum, underrepresented groups are interested in engineering, evenresources, and results are all provided. mechanical engineering. However, they might not be interested in the traditional industries, which is why it is Index Terms

Collection

2014 ASEE Zone 1 Conference

Authors

Hussain A. Alhassan; Christian Bach

ASEE 2014 Zone I Conference, April 3-5, 2014, University of Bridgeport, Bridgpeort, CT, USA. Operating System and Decision Making Hussain A. Alhassan Dr. Christian Bach Department of Computer Science & Engineering Associate Professor, Department of Engineering University of Bridgeport University of Bridgeport Bridgeport, CT, USA Bridgeport, CT, USA halhassa@my.bridgeport.edu cbach@bridgeport.edu Abstract—The diversity of operating systems offer