Conference Session

Fresh Perspectives on Information Literacy

Collection

2013 ASEE Annual Conference & Exposition

Authors

Ruth E. H. Wertz, Purdue University, West Lafayette; Michael Fosmire, Purdue University, West Lafayette; Senay Purzer, Purdue University, West Lafayette; Austin Iglesias Saragih, Purdue University; Amy S. Van Epps, Purdue University, West Lafayette; Megan R Sapp Nelson, Purdue University, West Lafayette; Brian G Dillman, Purdue University, West Lafayette

Tagged Divisions

Engineering Libraries

literacy is commonly referenced as an increasingly important 21st century skillneeded in today's knowledge-based economy. ABET’s criterion 3.i declares that students have“a recognition of the need for, and an ability to engage in life-long learning.” Shuman,Besterfield-Sacre, and McGourty1 propose several attributes of lifelong learning, including“follow a learning plan; identify, retrieve, and organize information; understand and remembernew information; demonstrate critical thinking skills; and reflect on one’s own understanding.”These criteria align well with the core concepts of information literacy. Information literacy ismost popularly defined by the American Library Association as set of skills that enables theability to recognize the need

Collection

2013 Fall ASEE Middle Atlantic Section Conference

Authors

Aiman S. Kuzmar

Caskey, “Learning Outcomes in Intensive Courses”, Journal of Continuing Higher Education, Volume 42, No. 2, 1994. 7. Carrie Johnson, “Faculty Speak on the Impact of Time in Accelerated Courses”, Journal of Continuing Higher Education, Volume 57, No. 3, 2009, p149-158. 8. Ann Marie Fauvel, “Reflections on an Interdisciplinary Community-Based Team-Taught Adventure”, Journal of Continuing Higher Education, Volume 58, No. 1, 2010. 9. Jan Pritchard, and Jane Mackenzie, “The Variation in Academics’ Experiences of Teaching in an Intense Study Center Compared with their Traditional University Setting”, Journal of Higher and Further Education, Volume 35, Issue 3, 2011, pp. 339-353. 10

Collection

2013 Fall ASEE Middle Atlantic Section Conference

Authors

Raju Shrestha; Paul Cotae

the number of bit errors divided by the total numberof bits in the transmitted signal. The transmission loss or information loss in underwater wireless communication isaccompanied by various physical and technical factors which we discussed in an introduction.Besides being channel noisy, underwater wireless communication is affected by surface duct,surface reflection, sound propagation characteristics, bottom bounce etc. Information loss is induced by passing signals via a noisy channel. In our work, conditionalentropy is used to quantify the information loss induced by passing pseudorandom sequencesthrough an underwater channel system. Information loss can mostly be expressed as thedifference of mutual information. The information loss

Conference Session

New Concepts for Alternative and Renewable Energy Courses

Collection

2013 ASEE Annual Conference & Exposition

Authors

Radian G Belu, Drexel University (Tech.)

Tagged Divisions

Energy Conversion and Conservation

own pace but not so much deciding in what order to learn. It is very plausible that, while Page 23.602.15the course materials and virtual lab are available at any time, the sequential presentation of someof the scientific content of the modules limit in what order the modules could be completed. Thetasks to complete each module are clearly stated and the perceived interactivity of the course andexperiments reflects that the choices that students make are meaningful and not just not for thesake of making choices.However, in general, the responses amongst the surveyed groups (students, graduate students(TA) and instructors) showed little

Conference Session

Curriculum and Program Developments, Exchanges, Collaborations, and Partnerships

Collection

2013 ASEE Annual Conference & Exposition

Authors

Eck Doerry, Northern Arizona University; Harvey Charles, Northern Arizona University

Tagged Divisions

International

mentors for younger GSEP cohorts.2.1.2 GSEP’s comprehensive, committed program conceptIn many ways, the broad, college-wide GSEP concept is comparable to the Honors Programconcept, in that provides no new degree programs in and of itself, but serves to optionallyaugment or “upgrade” any existing STEM degree program on campus. Even more so than anHonors program, however, GSEP is based on a “committed participation model”, meaning thatstudents explicitly apply to the program in their freshman year, and are expected to participate ina continual series of mandatory meetings and program activities throughout. This reflects ourphilosophy that true internationalization is not achieved via an isolated event or trip abroad, butinvolves the shaping of an

Conference Session

Integrating Art, Humanities, and Engineering

Collection

2013 ASEE Annual Conference & Exposition

Authors

Timothy W. Simpson, Pennsylvania State University, University Park; Marcus Shaffer, Penn State Architecture; Elisha Clark Halpin, Penn State University, School of Theatre, Dance Program; Amy Dupain Vashaw, Center for the Performing Arts @ Penn State; Dorothy H. Evensen, Pennsylvania State University, University Park

Tagged Divisions

Multidisciplinary Engineering

along with reflections from the faculty“client”. Discussions of the other two capstone design projects, which both involved “dancevehicles” that emerged in the second year of the grant, follow in subsequent sections.3.1. Spring 2011 Capstone Design Project: A Portable, Cost-Effective Motion Capture SystemThe objective in this first capstone design project was to design a portable and cost-effectivesystem to capture people’s movement through different public spaces on/near the Penn Statecampus. The intent was to design a system that could capture the gross/macro-level movementsof people through a large open space, not necessarily the fine/micro-level movements ofindividuals. The system also needed to be easy to set up, move, calibrate, and

Conference Session

Laboratory Experiences in Mechanical, Materials and Thermal Systems

Collection

2013 ASEE Annual Conference & Exposition

Authors

Matthew J. Traum, Milwaukee School of Engineering; Vincent C Prantil, Milwaukee School of Engineering; William C Farrow, Milwaukee School of Engineering; Hope Leigh Weiss, Milwaukee School of Engineering

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

, and reflect on the impacts their choices had on rocket performance using distincttools from the discipline of each course.Among the novel aspects of our approach is to expand beyond a two-course project sequencespanning just one academic year, a technique already used in many engineering curricula.Instead, our project is integrated into a multi-year five-required-course sequence with at least onecourse appearing in each year of the four-year mechanical engineering curriculum. We expectthis approach to engender significant benefits to student learning. First, it promotes “spacedrepetition”, wherein learners encounter the same material in briefer sessions spread over longertime periods rather than the study of information in single blocks, as

Conference Session

Programs in Entrepreneurship

Collection

2013 ASEE Annual Conference & Exposition

Authors

Andrew L Gerhart, Lawrence Technological University; Donald D. Carpenter P.E., Lawrence Technological University

Tagged Divisions

Entrepreneurship & Engineering Innovation

and Ahad Ali EME 3023 Manufacturing Processes 3 Numerical Vernon Fernandez EME 3033 Engr. Numerical Methods 3 MethodsThe KIT training process requires a two-year commitment involving week-long workshops,ACL/PBL implementation, report-back accountability sessions, and closing-the-loop sessions.Because of the commitment, almost all of the faculty members in the KIT program are full-time,although a few trusted adjunct instructors have also been selected to participate. Currently 56faculty members have been trained in PBL and ACL techniques representing approximately 46courses. (Table 3 reflects a lower number of KIT faculty; some faculty are no longer

Conference Session

Potpouri - A Mix

Collection

2013 ASEE Annual Conference & Exposition

Authors

Oai Ha, Utah State University; Ning Fang, Utah State University

Tagged Divisions

Mechanics

reflect student learning gains. Many assessment studies wereperformed with neither a control group nor random assignment of student participants, omissionswhich presented a significant threat to their validity. Based on our research findings descried inthis paper, we suggest that particular attention be paid to control students’ cognitive load at anappropriate level when designing and implementing CSA modules and programs in order tomaximize student learning outcomes.IntroductionIn learning many engineering subjects, students must develop skills to visualize the motion ofobjects over space and time. With advances in computer technology and communicationnetworks, more and more engineering educators have employed web-based computer simulation

Conference Session

Intercollegiate and Cross-disciplinary Collaboration

Collection

2013 ASEE Annual Conference & Exposition

Authors

Barbara Burks Fasse PhD, Georgia Institute of Technology; James William Schwoebel, Georgia Institute of Technology; Ethan James Craig, Georgia Institute of Technology; Anish Joseph, Georgia Institute of Technology; Ajit Vakharia, Georgia Institute of Technology; Steve M. Potter PhD, Georgia Institute of Technology; Kim Dooley, Texas A&M University; James DUPE Linder, Texas A&M University

Tagged Divisions

Multidisciplinary Engineering

participants to reflect on their experience in real-timebecause accuracy of memories tend to be heavily influenced by the final experiences thusintroducing three of Schacter (23 seven memory flaws: transience (decreasing accessibility ofinformation over time), absent-mindedness (inattentive or shallow processing that contributes toweak memories), and blocking (temporary inaccessibility of information that is stored inmemory). To control for this, the structured journal was designed to serve as a series of in-the-minute, real-time surveys in which students were given a prompt as a topic for focusing eachweek’s reflection as well as to report their engagement as it developed over time. Its utility as atool is to increase the validity of the data by

Conference Session

K-12 Professional Development I

Collection

2013 ASEE Annual Conference & Exposition

Authors

Jed S. Lyons, University of South Carolina; Erica Pfister-Altschul, University of South Carolina

Tagged Divisions

K-12 & Pre-College Engineering

results of the second survey constitute thebulk of this study, and are discussed below.Second Survey ParticipantsFifty five survey responses were complete enough to be used. The distribution of participants byyear of participation, gender, and major field is shown in Table 2. These reflect the changingnature of the participant pool. Science Fellows began participating in 2005 and the largestcohorts occurred in years 2005-2010. We compared the demographics of all original GK-12Fellows to those who participated in the second survey, and found that the percentages of thesurvey participants were approximately the same (see Table 3). Therefore, the survey sample isconsidered to be representative of participants in our GK-12 program. Table 2

Conference Session

NSF Grantees' Poster Session

Collection

2013 ASEE Annual Conference & Exposition

Authors

Ashland O. Brown, University of the Pacific; Richard H. Crawford, University of Texas, Austin; Daniel D. Jensen, U.S. Air Force Academy; Joseph J. Rencis P.E., Tennessee Technological University; Jiancheng Liu, University of the Pacific; Kyle A. Watson, University of the Pacific; Kathy Schmidt Jackson, Pennsylvania State University, University Park; Rachelle Kisst Hackett, University of the Pacific; Paul Henry Schimpf, Eastern Washington University; Chuan-Chiang Chen, California State Polytechnic University, Pomona; Ismail I Orabi, University of New Haven; Firas Akasheh, Tuskegee University; John J Wood, U.S. Air Force Academy; Brock U Dunlap, University of Texas, Austin; Ella R. Sargent, University of the Pacific

Tagged Topics

NSF Grantees Poster Session

. Page 23.224.7 4  Figure 1. Kolb Learning CycleLearning StylesEach FE ALM developed in this work is designed to span a spectrum of different characteristicsin which students learn. The Felder-Soloman Index of Learning Styles25 is composed of fourdimensions: active/reflective, sensing/intuitive, visual/verbal, and sequential/global [Table 1].Active learning tools are designed to meet the needs of students with a range of learning styles.Particular approaches to teaching often favor a certain learning preference. Therefore it isimportant to incorporate a variety of teaching approaches This index can assist instructors increating active learning modules

Conference Session

Engineering Identity 2

Collection

2013 ASEE Annual Conference & Exposition

Authors

Rachel McCord Ellestad, Virginia Tech

Tagged Divisions

Educational Research and Methods

researcher’s bias inmedia selection and should be stated for use in analysis. For Dilbert, the three main themesidentified by the researcher are 1) social awkwardness of engineers, 2) engineers believe that allnon-engineers are ignorant and 3) all engineers are white males. For Mythbusters, the mainthemes are 1) science is fun, 2) white males are the leaders in engineering and 3) science is aboutblowing stuff up. For The Big Bang Theory, the main themes are 1) social awkwardness ofengineers, 2) engineers have extreme difficulty interacting with the opposite sex and 3) engineersare white males. The themes identified in these media articles reflect the nerd identity theorypresented by Kendall that show that nerds are socially awkward white males 6. When

Conference Session

Minority Student Success

Collection

2013 ASEE Annual Conference & Exposition

Authors

Annita Alting, Grove School of Engineering, The City College of the City University of New York; Feridun Delale, City College of the City University of New York; Joseph Barba, City College of the City University of New York

Tagged Divisions

Minorities in Engineering

of the City College of New York (CCNY), anurban commuter college offering over 100 degrees in liberal arts and social science, science,education, engineering, medical studies and architecture. The diverse student body of CCNYconsists of about 13000 undergraduates and over 3000 graduate students, including more than200 Ph.D. students in engineering. Grove’s student body reflects a similar diversity, with over2200 undergraduates, about 480 master’s students and approximately 200 Ph.D. students. Atpresent, the school offers eight ABET accredited undergraduate programs in biomedical,chemical, civil, computer, electrical and mechanical engineering, computer science andenvironmental science & systems engineering. The school offers seven

Conference Session

NSF Grantees' Poster Session

Collection

2013 ASEE Annual Conference & Exposition

Authors

Erin M Fitzgerald, Museum of Science; Christine M Cunningham, Museum of Science

Tagged Topics

NSF Grantees Poster Session

professor and chairperson of the Childhood Education Department at SSU,works to ensure that the students from Dr. Bade’s course are later placed in practicumexperiences with teachers who have been trained in engineering and technology content andproblem-based pedagogy. There are many players involved in an elementary teacher’s preservicepreparation, but when there is fluid communication and collaboration between them all, newteachers enter the classroom confident that they can teach engineering and technology to theirstudents, and committed to the importance of doing so.How do we measure success?Measurement of the BEST project’s success has centered on two main areas that reflect theoverarching goals of the grant: • How helpful does the faculty

Conference Session

State of Manufacturing

Collection

2013 ASEE Annual Conference & Exposition

Authors

Hugh Jack, Grand Valley State University

Tagged Divisions

Manufacturing

demand means that there has been little success inaddressing these needs. Given that there is little difference between the academic and practitioneropinions the problems are not based in a lack of interest, other factors must be involved. Recommendation: Apply new and innovative efforts to address Automation and Control, CAD/CAM, and Lean Manufacturing in the curriculum.Areas with a high, but decreasing demand include Advanced Processes, Basic Science andMathematics, Materials Science, and Product Design. This reflects the success of various groupsin addressing these needs. Naturally these efforts that have begun in these areas should continue. Recommendation: Continue curriculum development work in Advanced Processes

Conference Session

Novel Pedagogies 2

Collection

2013 ASEE Annual Conference & Exposition

Authors

Megan F. Campanile, Illinois Institute of Technology; Frederick Doe, Illinois Institute of Technology; Elana Rose Jacobs, Illinois Institute of Technology; Norman G Lederman, Illinois Institute of Technology; Eric M Brey, Illinois Institute of Technology

Tagged Divisions

Educational Research and Methods

reflected about her summer experience, she talked about what she had learnedabout herself over the summer. In terms of her career, she gained many different perspectivesabout her future research goals, possibilities, and preferences. Estelle’s academic perspectivegains related to what would be expected of her in undergraduate and graduate programs. Thefollowing quote illustrated how Estelle has synthesized her research experience to apply to heracademics for next semester. “I’m going to stick in my Biology major. I was trying to switch because classes started getting hard. But after, basically, learning that I can learn a vast amount of things in a short amount of time. And that I gained confidence in how I can, like, actually

Conference Session

Retaining and Developing Women Faculty in STEM

Collection

2013 ASEE Annual Conference & Exposition

Authors

Ziyu Long, Purdue University; Patrice Marie Buzzanell, Purdue University, West Lafayette; Klod Kokini, Purdue University, West Lafayette; Robyn F Wilson, Purdue University; Jennifer C Batra, Purdue University ; Lindsey B. Anderson, Purdue University

Tagged Divisions

Women in Engineering

her mentors through aresearch collaboration, “I was very lucky to have a colleague … three or four years into myassistant appointment, who got a very large grant that I was kind of dragged into, fell into byaccident, who really showed me how to run a very large grant and how to do different kinds ofresearch.” In this case, Berta received mentoring as part of a seemingly natural process when sheworked with her colleague in this research project. Reflecting on this experience, Berta nowconsiders her colleague to be an important mentor to her (see Figure 1). Other participants notedthat their mentors were people with whom they taught and/or collaborated in various ways. Although most of the reported multiplex ties between mentor and mentee

Conference Session

CIP Technical Session

Collection

2013 ASEE Annual Conference & Exposition

Authors

Samantha Ruth Brunhaver, Stanford University; Shannon Katherine Gilmartin, Stanford University; Michelle Marie Grau, Stanford University; Sheri Sheppard, Stanford University; Helen L. Chen, Stanford University

Tagged Divisions

College Industry Partnerships

Conference Session

Research Initiatives

Collection

2013 ASEE Annual Conference & Exposition

Authors

Helena Isabel Scutt, Stanford University; Shannon Katherine Gilmartin, Stanford University; Sheri Sheppard, Stanford University; Samantha Ruth Brunhaver, Stanford University

Tagged Divisions

K-12 & Pre-College Engineering

-educated women have increased their share ofthe overall workforce”1. The gender gap in STEM employment is not an anomaly; it reflects thedisparity in the relative numbers of men and women pursuing STEM education, of which the K-12 years, particularly high school, are this paper’s focus.Female high-school students are more likely to aspire to attend college than are their malecounterparts, and young women enroll in college, persist, and graduate from it at higher rates aswell2. So why does this STEM-specific gap exist? This paper employs the tools of “genderanalysis” to address this question.Gender analysis provides a framework for thorough analysis of the differences between women’sand men’s “gender roles, activities, needs, and opportunities in a

Conference Session

Engineering Identity 2

Collection

2013 ASEE Annual Conference & Exposition

Authors

Malinda Faber, The Friday Institute for Educational Innovation at North Carolina State University; Alana Unfried, North Carolina State University; Eric N. Wiebe, North Carolina State University; Jeni Corn, Friday Institute for Educational Innovation, NC State University; Latricia Walker Townsend; Tracey Louise Collins, North Carolina State University

Tagged Divisions

Educational Research and Methods

example, an original pilot item read, “I would like to learn how tomake safer cosmetics.” The engineering education experts and researchers did not find this itemto be gender neutral and removed it from the construct. They also aimed to make the engineeringattitudes section a more comprehensive measure by including items relevant to engineeringcareers requiring a Bachelor’s degree as well as those not requiring a Bachelor’s degree, liketechnologists. The team developed new questions to include words like “design,” “create,” and“imagine” as well as words like “build” and “fix.” They renamed the engineering section“Engineering and Technology” to reflect the new focus on the work of not only engineers butalso of technologists and other skilled

Conference Session

Electrical and Computer Engineering (ECE) Poster Session

Collection

2013 ASEE Annual Conference & Exposition

Authors

Alexander Ganago, University of Michigan; Hongwei Liao

Tagged Divisions

Electrical and Computer

entireclass, we award every participant of each survey with 0.1% extra credit on the 100%scale for the course. The maximal number of points that a student can earn viaparticipation in surveys was 1.6% in the Fall 2012; for comparison, the reward for earlysubmission of homework was ~3-fold higher. We believe that extra credit forparticipation is justified, because thoughtful feedback requires reflection on learning andteaching, which in turn stimulates meta-communication and comprehension of the coursematerial. The average amount of extra credit for participation in surveys earned bystudents in the Fall 2012 was 0.86%, while the width of each letter grade bin was 4%(straight scale, no “curve”); thus extra credit points only slightly influenced the

Conference Session

Software Engineering Pedagogical Approaches

Collection

2013 ASEE Annual Conference & Exposition

Authors

John C. Georgas, Northern Arizona University

Tagged Divisions

Software Engineering Constituent Committee

architectural styles is that they go beyond simple narratives of designexperiences, and capture design expertise that has been refined through careful reflection in aneffort to codify important lessons. By providing students with a solid foundation inunderstanding the applicability, key characteristics, advantages, and disadvantages ofarchitectural styles, educators can provide learners with valuable starting points for their owndesign activities as well as build expertise in identifying critical design trade-offs.The instruction of architectural styles, however, remains challenging, primarily due to afundamental disconnect between the dynamic nature of the software compositions thatarchitectural styles model and the static artifacts most commonly used

Conference Session

Curricular Issues in Computing and Information Technolog Programs

Collection

2013 ASEE Annual Conference & Exposition

Authors

Brian R. King, Bucknell University; Ashwin Satyanarayana, New York City College of Technology

Tagged Divisions

Computing & Information Technology

quite pleased to work on an interesting, relevant large-scaledataset of their choice, and see how the methods taught would work in practice; their enthusiasmwas reflected in the results obtained.6.2 Reflection and DiscussionOne of the biggest challenges we faced with the design of the course was from the unexpectedinterest from non-CS majors. While this was a pleasing observation, it did require us toreconsider the depth of some material, and perhaps consider some different techniques in thefuture, as the interest is continuing to expand. We are strongly considering offering two variantsof the course: one course would be the existing data mining course as an elective for thecomputer science major, with a prerequisite of taking a course on data

Conference Session

Thermal Sciences

Collection

2013 ASEE Annual Conference & Exposition

Authors

Georg Pingen, Union University

Tagged Divisions

Mechanical Engineering

be fair with one student taking particularissue with the fact that their grade depended in part on peer evaluations. There was alsoexpressed concern regarding the fact that not all group members could be assigned a 10/10 on thepeer evaluations (see Appendix 1). Finally, while not asked as part of the EGR 450questionnaire, the same student group indicated unanimous support for the online screencasts inthe EGR 250 course questionnaire during the previous semester. The primary student request Page 23.1158.13was the addition of extra screencasts with example problems. The student support for the TBLformat is further reflected in the

Conference Session

First Year Engineering

Collection

2013 ASEE Annual Conference & Exposition

Authors

Xingyu Chen, Purdue University, West Lafayette; Matthew W. Ohland, Purdue University, West Lafayette; Russell Andrew Long, Purdue University, West Lafayette

Tagged Divisions

Educational Research and Methods

effect is reflected in the coefficientb1 of the interaction between Ri and Mi. Additionally, we run multiple regression analyses forfirst-time engineering students using almost the same models except that Ei is deleted.Logistic regression models are applied to study dichotomous outcome variables that measurefirst-time student course-taking behaviors. The form of logistic models differs from multipleregression models (1) and (2) only in the outcome variables: Y01FRA = b0 + b1∙Ri∙Mi + b2∙SAT + b3∙Gi + b4∙Ei + ck∙Yk (3) Y01W = b0 + b1∙Ri∙Mi + b2∙SAT + b3∙Gi + b4∙Ei + ck∙Yk (4) Y01S = b0 + b1∙Ri∙Mi + b2∙SAT + b3∙Gi + b4∙Ei + ck∙Yk (5)Y01FRA in (3) is an indicator of full course load

Conference Session

Engineering in K-12 Science and Mathematics Standards

Collection

2013 ASEE Annual Conference & Exposition

Authors

Tamara J Moore, University of Minnesota, Twin Cities; Kristina Maruyama Tank, University of Minnesota, Twin Cities; Aran W Glancy, University of Minnesota, Twin Cities; Jennifer Anna Kersten, University of Minnesota, Twin Cities; Forster D Ntow, University of Minnesota, Twin Cities

Tagged Divisions

K-12 & Pre-College Engineering

. In the K-12 setting, engineering can help students learn to use informed judgment to make decisions, which can lead to informed citizenry. Students must be empowered to believe they can seek out and troubleshoot solutions to problems and develop new knowledge on their own. Engineering requires students to be independent, reflective, and metacognitive thinkers who understand that prior experience and learning Engineering from failure can ultimately lead to better solutions. Students must also learn to manageThinking (EThink) uncertainty, risk, safety factors, and product reliability. There are additional ways of

Conference Session

FPD 8: Engineering Math Issues

Collection

2013 ASEE Annual Conference & Exposition

Authors

Tanya D Ennis, University of Colorado Boulder; Jacquelyn F. Sullivan, University of Colorado, Boulder; Beverly Louie, University of Colorado, Boulder; Daniel Knight, University of Colorado, Boulder

Tagged Divisions

First-Year Programs

whole, Figures 11 and 12 show ALEKS performancefor the course. Figure 11. Initial ALEKS assessment pie chart for overall class performance. Figure 12. Final ALEKS assessment pie chart for overall class performanceTable 5 reflects the initial and post assessment results and percent increase for each topic. Theseresults reflect significant growth for the class as a whole for all topics. Table 5. Class performance—mastery of ALEKS topics: initial and final assessment. Class Initial Class Final ALEKS Objectives/Topics % Increase Assessment Assessment

Conference Session

Laboratory Experiences in Mechanical, Materials and Thermal Systems

Collection

2013 ASEE Annual Conference & Exposition

Authors

Roger A Beardsley PE, Central Washington University

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

Collection

2013 Spring ASEE Middle Atlantic Section Conference

Authors

Ali Daneshmandnia

activities in the field of education: Collaboration,control, culture, Reflection, and Reinforcement. This exploratory study will evaluate theusability of Moodle within the classroom teaching environment. It will also focus on thefollowing HCI concepts: ease of navigation within the platform, smooth dialog between systemand learner, ease of collaboration among peers, ease and effectiveness of Help features of thesystem, ability to win over the novice computer user, and organization of icons and links on the„dashboard.‟ 1.1 BackgroundMoodle is one of the most used online learning delivery systems in the world (Hinze-Hoare, HCIand Educational Metrics as Tools for VLE Evaluation, 2008). As Traver (2007) points out, Proceedings