Conference Session

Graduate Education in ETD

Collection

2012 ASEE Annual Conference & Exposition

Authors

Enrique Barbieri, University of North Texas; Vassilios Tzouanas, University of Houston, Downtown

Tagged Divisions

Engineering Technology, Graduate Studies

Technology (ETEC), with at least 50 sustainingenrollments of 200+ students in fall 2010 according to ASEE data. On the other hand, since the1980’s only about 14 institutions have created master’s degrees in ETEC. Some M.S. programshave evolved from Master of Science in Technology (M.S.T.) or Master of Technology (M.T.)versions. One fundamental question posed in the debate is whether ETEC curricula rise to thenecessary scientific rigor of traditional M.S. degrees. This paper asserts that the M.S. in ETECshould stand on equal footing with M.S. programs in any other field and particularly inengineering when viewed from the perspective of (i) the scientific level of graduate ETECcourses; (ii) the roles that ETEC graduates perform in the engineering

Conference Session

Entrepreneurship Teaming and Collaboration

Collection

2012 ASEE Annual Conference & Exposition

Authors

David Pistrui, Acumen Dynamics, LLC; John K. Layer, University of Evansville; Sandra L. Dietrich, Eastern Michigan University

Tagged Divisions

Entrepreneurship & Engineering Innovation

. The Behavior latent variable is defined by the DISC instrument as a measurement model,where the four manifest variables Dominance (D), Influence (I), Steadiness (S), and Compliance(C) are depicted in Figure 3 [18] [19]. D I BEHAVIOR S C Figure 3. Hypothesized KEEN-TTI DISC Measurement ModelIn a similar fashion the Motivation and Skills latent variables are described by specific manifestvariables derived from TTI questionnaire items. The Motivation latent model is described by sixmanifest variables: Theoretical (TH), Aesthetic (AE

Conference Session

The Best of Design in Engineering Education

Collection

2010 Annual Conference & Exposition

Authors

Nicole Genco, University of Massachusetts Dartmouth; Katja Holtta-Otto, University of Massachusetts Dartmouth; Carolyn Conner Seepersad, University of Texas, Austin

Tagged Divisions

Design in Engineering Education

developing their original three concepts and 10 minutesmodifying other students’ concepts according to the modified 6-3-5 method.Measuring Creativity and Feasibility of the ConceptsIn this study we chose to measure the creative outcome rather than the creative personality of anindividual because the outcome is usually most important in engineering applications. There areseveral ways of measuring the creative outcome of a concept. Shah et al.’s novelty metric36 iscommonly used in engineering and was thus chosen for the innovative measurement criteria ofthis study. Before the metrics could be applied, each concept was analyzed holistically anddecomposed into a set of features. Once a set of features was identified it was then divided into a

Conference Session

Thermal Systems

Collection

2005 Annual Conference

Authors

Pamela J. Théroux; Gary Gabriele; Brad Lister; Deborah Kaminski

. Page 10.508.7 Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition Copyright 2005, American Society for Engineering EducationFigure 3Distribution of Learning Styles Overall 8.67% Learning Styles Acco m m oda ting As s im ilating C onverging D iverging 11 .22 % 29 .34

Conference Session

ECE Laboratory Development & Innovations

Collection

2004 Annual Conference

Authors

Ahmed Rubaai

the terminals corresponding to input voltage, Vi, output voltage, Vo, one inductor current,iL, and controlled switch, S. The controller output variable is the switch duty cycle, δ.2.1 Fuzzy Controller Design Primarily, students will decide on the state variables of each converter topology that can betaken as the input signals to the controller. The controller-input variables include, output voltageerror, inductor current error, and inductor current, which will be used for current limiting only.Consequently, the input to the converter unit would be a signal proportional to the converter dutycycle that is actually the output of the controller. After choosing proper fuzzy variables as inputand output of the FLC, students must decide on the

Conference Session

IS and IT Education

Collection

2004 Annual Conference

Authors

Thomas Cullinane; Baris Yanmaz; Ronald Perry

. Six question items were identified as important outcomes: overall satisfaction (OS),feeling of being rewarded for efforts (RE), feeling of being stimulated and challenged (SC), op-portunities for career advancement (CA), length of time in an IT job (TJ), and salary (S). Thus,twelve regression equations were developed: six for the first job and six for the current job. Ta-ble 1 lists the outcome and predictor variables used for these analyses (All tables appear at theend of the paper). SPSS software was used in all of the analyses. The straight-forward approach to developing these relationships would be to offer all ofthe candidate predictor variables to SPSS and let it select the subset which provides the bet fit asmeasured by the

Conference Session

Ethics & HSS in Engineering

Collection

2004 Annual Conference

Authors

David Shaw; James Gidley

Session 3261 Ethics & HSS in Engineering Addressing the Liberal Arts in a Core Engineering Class: Theology, Philosophy, Social Ethics, and The Second Law of Thermodynamics Dr. David W. Shaw and Dr. James S. Gidley Department of Engineering, Geneva College, Beaver Falls, PAIntroductionCan an engineering professor address theological, philosophical, and social issues in a coreengineering class in a way that is relevant to the core content of the class? Our answer is yes.We have been addressing such issues for more than a decade in an introductory thermodynamicsclass required of all students in the general engineering program

Collection

2000 Annual Conference

Authors

Domingo L. Uy

consideration will be incomplete,and it will lead to possible going out of context and the outcomes may be undesirable; 3) Also, one can embed or built-in the design context within the MDT itself.Note that for each decision point the branches of the tree are generated in the same way as in theDTA. The basic question to ask is: How many ways can I accomplish this task? An example of athree-level deep Modified Decision Tree (MDT) for the system S ( Figure 3) is shown inFigure 4. The square nodes are the decision points (DPs). The circular nodes are the outcomes. Eachoutcome consists of a set of alternatives. For example, in Figure 5, the outcome node SS2 contains thealternatives m, p, and u. Also, in Figure 4, the outcomes SSj, j = 1,2,..8, can

Conference Session

Research in Engineering Education I

Collection

2012 ASEE Annual Conference & Exposition

Authors

Sandra Loree Dika, University of North Carolina, Charlotte; Jae Hoon Lim, University of North Carolina, Charlotte

Tagged Divisions

Educational Research and Methods

Research We reviewed a total of 13 studies for the second component of our critical analysis.First, we reviewed classic retention studies by Astin 4,29 and Tinto 30, which have been frequentlycited as germinal research linking the construct of social engagement to college student retentionand/or academic success. Nora et al.’s study6 was reviewed as an example of more recentempirical investigations using an extensive national dataset. Next, we analyzed 10 empiricalstudies that examined relationships between peer-oriented social engagement and measures ofcollege student adjustment/persistence (e.g., retention, GPA, other persistence measures) inengineering education. We specified four criteria for the inclusion of a study in our review: a

Conference Session

Methods of Teaching and Learning in Construction

Collection

2012 ASEE Annual Conference & Exposition

Authors

Edward Godfrey Ochieng, Liverpool John Moores University ; Andrew David Price, Loughborough University; Ximing Ruan Ruan, Robert Gordon University; Yassine Melaine, Liverpool John Moores University

Tagged Divisions

Construction

has always been believed that if there is a “fit”between the learner‟s preferred teaching style and method of instruction, the outcome wouldbe happier and more academically successful learners, although research often fails to sustainthis theory6 . As observed from the reviewed literature, one of the main problems inassociating the magnitude of data to successful learning is that knowledge is augmenting at anexponential rate7, 5. If teaching concentrates merely on content and opportunities to developmeta-cognitive strategies are limited, alumni will experience significant difficulty keeping up-to-date with their respective disciplines5. Whilst joining in with the debate, Kolb8 saw learningas a cyclical process comprising of a series of

Conference Session

Retention of Women Students

Collection

2012 ASEE Annual Conference & Exposition

Authors

Ann M. Blasick, Georgia Institute of Technology; Christine Valle, Georgia Institute of Technology; John D. Leonard II, Georgia Institute of Technology

Tagged Divisions

Women in Engineering

graduation rate, assuming continuous enrollment).Ohland et. al. [4] present an extensive analysis of retention measures and studenteducational experiences at the undergraduate level. This paper uses the large, multi-institution dataset MIDFIELD (Multiple-Institution Database for InvestigatingEngineering Longitudinal Development) which contains records of over 75,000 studentsin engineering during the years of 1988 through 1998. Ohland and his colleagues [4, 7]determined that eight-semester persistence is highly predictive of six-year graduationrates. But, using eight-semester persistence can underreport the persistence of women tograduation. In general, it is shown that paths of persistence are nonlinear, gendered andracialized, so that it‟s

Conference Session

NSF Grantees' Poster Session

Collection

2012 ASEE Annual Conference & Exposition

Authors

Stephen J. Krause, Arizona State University; Jacquelyn E. Kelly, Arizona State University; Dale R. Baker, Arizona State University

Tagged Topics

NSF Grantees Poster Session

onReflections. Some quotes on the personal impact of filling in Meta Reflection on Reflections areshown below. Some quotes include:Wrap-up on Points of Interest: Across a semester what was the impact of Interest Points on your attitude & interest?"Relating things to my daily life helps me to retain info better"Wrap-up on Muddiest Points:Did your responses to Muddiest Points help you identify your issues on content andconcepts?"The muddiest point helped me realize what I may not be aware of"Did discussing Muddy Point(s) at the start of next class help your understanding (or not)?"Questions other people asked helped because, many times they were questions I didn't think toask"Wrap-up on Learning Points: Did your responses on Learning Points help you

Collection

1998 Annual Conference

Authors

Fred Weber; Daniel C. Yoder; Christopher D. Pionke; J. Roger Parsons

also how the direction of the force is related to the direction of the movement. If wepull straight up on the box and the upward force is less than the box’s weight we will reduce the contact force of the floor on thebox, but will do no useful work moving the box across the floor. If the force pulls directly in the direction that the box moves theforce does the most useful work. The work is therefore W = F s = F *s * cos(), where F is the size of the force, s is thedistance the object moves, and is the angle between the direction of the force and the direction of motion. Note the F s,which is read as “F dot s”. This is not the same as F * s (F times s), but is rather called the “dot product”. In general, A B =A * B * cos(), where A and B

Conference Session

Student Division (STDT) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Vivian H Nguyen, City Colleges of Chicago ; Anthony Jesus Blanco, City Colleges of Chicago; Andrew Steppan, City Colleges of Chicago; Juan Munoz, City Colleges of Chicago ; Guadalupe Pina-Castillo, City Colleges of Chicago; Shlesha Patel, City Colleges of Chicago; Melvin Cabrera, City Colleges of Chicago; Tobias Wimmer; Doris J. Espiritu, City Colleges of Chicago

Tagged Divisions

Student Division (STDT)

importance of creating theseopportunities for college retention.VII. ACKNOWLEDGEMENTThis material is based upon work supported by the National Science Foundation under Grant No.DUE-1832553. Any opinions, findings, conclusions, or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation. The authors would like to acknowledge Jason Osei-Tutu, Dr. RuzicaTodorovic and Bridget O’ Connell for supporting our research and facilitating the Center ofExcellence for Engineering and Computer Science at Wilbur Wright College, City Colleges ofChicago. This research is derived from the research “Building Bridges into Engineering andComputer Science” that is approved by the City

Conference Session

Engineering Physics and Physics Division (EP2D) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Jason Morphew, Purdue University; Amirreza Mehrabi, Purdue Engineering Education; Ben Van Dusen, Iowa State University of Science and Technology; Jayson Nissen

Tagged Divisions

Engineering Physics and Physics Division (EP2D)

an accessible and reliable assessmentsystem for assessing conceptual STEM understanding for colleges and universities that aligns withSTEM curriculum and uses Artificial Intelligence (AI) based assessment methods. Table 1: Operational Definition of Terms Term Operational Definition Example(s) Proficiency The proficiency of a person reflects the probability • Percentage correct on of answering test items correctly. The higher the static exams. individual’s proficiency, the higher the probability • Theta estimate on CATs. of a correct response. Different fields refer to proficiency as ability, latent trait, theta. Content

Conference Session

Using technology in engineering ethics education

Collection

2024 ASEE Annual Conference & Exposition

Authors

Tracy Anne Hammond, Texas A&M University; Pauline Wade, Texas A&M University; Shawna Thomas, Texas A&M University; Hillary E. Merzdorf, Texas A&M University

Tagged Divisions

Engineering Ethics Division (ETHICS)

(Instructor 1: M = 4.79, SD = 1.64; Instructor2: M = 6.12, SD = 1.30). On average for both sections, students’ lowest ratings were for thebenefits that videos would have had during their sophomore year (M = 5.22, SD = 1.77).Figure 1 shows the distribution of student ratings for each question in the survey. Distributionsfor Questions 1, 2, and 4 were negatively skewed as students rated these aspects highly. For bothsections, distributions were similar for Question 1, “Helped in being knowledgeable aboutcurrent ethical issues in computing” and Question 4, “Picking your own ethics topics.” Instructor2’s section gave higher ratings to the importance of analyzing ethical implications of capstoneprojects. The two sections were somewhat opposite in rating

Conference Session

Educational Research and Methods Division (ERM) Technical Session 17

Collection

2024 ASEE Annual Conference & Exposition

Authors

Sakhi Aggrawal, Purdue University ; Alejandra J. Magana, Purdue University

Tagged Divisions

Educational Research and Methods Division (ERM)

pedagogical strategies that harness the strengths of agile frameworks to enrich the educational experience of students. References[1] D. Lopatto, “Undergraduate research as a high-impact student experience,” Peer Rev., vol. 12, no. 2, pp. 27–31, Mar. 2010.[2] J. O. Shanahan, E. Ackley-Holbrook, E. Hall, K. Stewart, and H. Walkington, “Ten Salient Practices of Undergraduate Research Mentors: A Review of the Literature,” Mentor. Tutoring Partnersh. Learn., vol. 23, no. 5, pp. 359–376, Oct. 2015, doi: 10.1080/13611267.2015.1126162.[3] G. D. Kuh, “High-Impact educational practices.,” Peer Rev., vol. 10, no. 4, pp. 30–31, Sep. 2008.[4] S. Aggrawal and A. J. Magana, “Undergraduate Student Experience with Research Facilitated by Project

Conference Session

Multidisciplinary Engineering Division (MULTI) Technical Session 8

Collection

2024 ASEE Annual Conference & Exposition

Authors

Mehrube Mehrubeoglu, Texas A&M University, Corpus Christi; Lifford McLauchlan, Texas A&M University, Kingsville; David Hicks; Adetoun Yeaman, Northeastern University; Maria Vasilyeva, Texas A&M University, Corpus Christi

Tagged Divisions

Multidisciplinary Engineering Division (MULTI)

defined as a limit of Riemann sums. White down the limit form and then decide 𝑏on the units of ∫𝑎 𝑓(𝑥)𝑑𝑥 .Fancier version: assume g(s,t) is a function of two variables, where s is measured in v units and tis measured in w units and g is measured in o units (for output) .Write down the limit and difference quotient that is used to find ∂g/∂s.What does that make the units of ∂g/∂s ? 𝑏 𝑑What would be the units for the double integral ∫𝑎 ∫𝑐 𝑔(𝑠, 𝑡)𝑑𝑠 𝑑𝑡 ?Reflection: 1. Did you remember how to obtain units on derivatives and integrals? (Please elaborate) 2. Does this exercise refresh your understanding of calculating units from Calculus I or Linear Algebra

Conference Session

Project/Problem Based Learning (PBL) in Construction Education

Collection

2024 ASEE Annual Conference & Exposition

Authors

Daniel Eduardo Abril; Miguel Andres Guerra, Universidad San Francisco de Quito USFQ

Tagged Divisions

Construction Engineering Division (CONST)

Murzi, H., 2023, “Board 2A: WIP: Opportunities in Cultural Dimensions between Architecture and Civil Engineering Students in Ecuador,” 2023 ASEE Annual Conference & Exposition.[10] Shaaban, K., 2013, “Practical Teaching and Its Importance in Teaching Civil Engineering,” Global Innovators Conference 2013, Hamad bin Khalifa University Press (HBKU Press), College of the North Atlantic-Qatar, Doha, Qatar,.[11] Cai, H., “A Practical Teaching Model in a Civil Engineering Course.”[12] Emzain, Z., Qosim, N., Mufarrih, A., and Hadi, S., 2022, “Finite Element Analysis and Fabrication of Voronoi Perforated Wrist Hand Orthosis Based on Reverse Engineering Modelling Method,” J. Appl. Eng. Technol. Sci. JAETS, 4

Conference Session

Computing and Information Technology Division (CIT) Technical Session 3

Collection

2024 ASEE Annual Conference & Exposition

Authors

Bhuvaneswari Gopal, University of Nebraska, Lincoln

Tagged Topics

Diversity

Tagged Divisions

Computing and Information Technology Division (CIT)

, has gained attention from the computingeducation community over the last few years [1]. The focus in PI is active student engagementthrough discussion, involving students in the answering and discussion of multiple-choicequestions. This is typically accomplished by obtaining real-time student feedback through theuse of student response systems in class as the students learn the topic.SOLID is an acronym that denotes five basic principles widely used in designing software builton the .NET platform. S stands for SRP (Single Responsibility Principle), O for OCP (OpenClosed Principle) L for LSP (Liskov Substitution Principle), I for ISP (Interface SegregationPrinciple) D for DI (Dependency Inversion Principle). The main purpose of these

Conference Session

Engineering Leadership Development Division (LEAD) Technical Session: Engineering Leadership in Industry

Collection

2024 ASEE Annual Conference & Exposition

Authors

Seth Claberon Sullivan, Texas A&M University

Tagged Topics

Diversity

Tagged Divisions

Engineering Leadership Development Division (LEAD)

Paper ID #44107Whistle While You Work: Drivers and Impacts of Happiness at Work forEngineersMr. Seth Claberon Sullivan, Texas A&M University Seth Sullivan is the Director of the Zachry Leadership Program in the College of Engineering at Texas A&M University. Prior to joining the university, he worked in consulting in the private sector and as an analyst in the U.S. Government. Heˆa C™s earned ©American Society for Engineering Education, 2024 Whistle While You Work: Antecedents and Impacts of Happiness at Work for EngineersAbstract This research explores the

Conference Session

Research on Engineering Design Education

Collection

2011 ASEE Annual Conference & Exposition

Authors

Shanna R. Daly, University of Michigan; James Loren Christian, University of Michigan; Seda Yilmaz, Iowa State University; Colleen M. Seifert, University of Michigan; Richard Gonzalez, University of Michigan

Tagged Divisions

Educational Research and Methods

improving the set of concepts available for furtherdevelopment in the design process.AcknowledgementsWe are grateful to Jamie Phillips for inviting us to his classroom to work with his students. Thiswork is funded by The National Science Foundation, Engineering Design and Innovation (EDI)Grant 0927474.References[1] Ahmed, S.; Wallace, K. M.; Blessing, L. T. M. (2003). Understanding the differences between how novice and experienced designers approach design tasks. Journal of Research in Engineering Design, 14, 1-11.[2] Cross, N. (2001). Design cognition: Results from protocol and other empirical studies of design activity. In C. M. Eastman, W. M. McCracken & W. C. Newstetter (Eds.), Design knowing and learning: Cognition in design

Conference Session

WIED Olio

Collection

2011 ASEE Annual Conference & Exposition

Authors

Sarah Hug, University of Colorado, Boulder; Susan Jurow, University of Colorado at Boulder; Wendy C. Chi, University of Colorado, Boulder

Tagged Divisions

Women in Engineering

you think about graduate school? FemProf Participant: Even though I already did research, I didn‟t really understand very well the whole entire master‟s/Ph.D. degree process. At the first school I was a tutor, and really enjoyed that. Since I‟m studying engineering, I just don‟t want to be a teacher in high school, and didn‟t understand how to become a professor. FemProf coordinators have given me seminars and how about grad school works, and I have talked to them individually about their experiences in the doctoral degree, as the doctoral degree sounds like a super-hard thing but it‟s actually not as scary as it seems.Program directors highlight ways women can support one another in their

Conference Session

Mentoring First Year Students

Collection

2010 Annual Conference & Exposition

Authors

Daina Briedis, Michigan State Univesity; Nathaniel Ehrlich, Michigan State University; Colleen McDonough, Michigan State University; Jon Sticklen, Michigan State University; Thomas Wolff, Michigan State University

Tagged Divisions

First-Year Programs

of the author(s) and do not necessarily reflect the views of the NationalScience Foundation (NSF). The authors also wish to thank Karen Clark, Research Assistant,Institute for Public Policy and Survey Research, Office for Survey Research at MSU for hertimely and efficient programming, survey administration, and data retrieval. We are alsoindebted to Mr. Timothy Hinds, the instructor of EGR 100, who has generously allowed us touse his class as a contact point for the CF program.Bibliography1. Seymour, Elaine and Nancy M. Hewitt (1997). Talking about Leaving: Why Undergraduates Leave the Sciences. Boulder, CO, Westview Press.2. Keller, J.M. (1983). Motivational design of instruction. Instructional-design theories and models: An

Conference Session

Issues and Answers in Mathematics Education

Collection

2011 ASEE Annual Conference & Exposition

Authors

Peter J. Sherman, Iowa State University

Tagged Divisions

Mathematics

traditional formative frameworkassociated with K-12 education, but rather, in relation to what one might deem, the positiveoutcome framework associated with students majoring in STEM areas at the university level.The motivation for this approach is based on an argument that, while university students inSTEM disciplines are considered as STEM education achievements, fundamental flaws in basicconceptual mathematical knowledge persist; flaws that if more aggressively addressed at the K-12 level could result in attracting more youth to pursue STEM interests. The argument is basedon personal anecdotal evidence associated with the author‟s experiences. Hence, it does not havea rigorous foundation. Nonetheless, it is an argument that will hopefully resonate

Conference Session

Teaching Mechanics of Materials & General Mechanics

Collection

2010 Annual Conference & Exposition

Authors

Robert Freeman, University of Texas, Pan American; Horacio Vasquez, University of Texas, Pan American; Martin Knecht, South Texas College; Taylor Martin, Univ of Texas at Austin; Arturo Fuentes, University of Texas, Pan American; Joan Walker, Long Island University; Araceli Ortiz, Tufts University

Tagged Divisions

Mechanics

: Summative instructional events are now presented. Knowledge and learner centered. Go public: This is a high stakes motivating component introduced to motivate the student to do well. Learner and community centered.Challenge 2…NThe following progressively more ambitious challenges enable the student to increasinglydeepen their knowledge of the topic being explored. Repeat the complete legacy cycle for eachchallenge.Reflect BackThis gives student the opportunity for self-assessment. Learner centered.Leaving LegaciesThe student is asked to provide solutions and insights for learning to the next cohort of students,as well as to the instructor(s). Community centered. The legacy cycle contains steps or activities that appeal to

Conference Session

Faculty Reward System Reform

Collection

2005 Annual Conference

Authors

J.W. Bardo; Gary Bertoline; Eugene DeLoatch; Duane Dunlap; Albert McHenry; T.G. Stanford; S.J. Tricamo; P.Y. Lee; H.J. Palmer; Michael Dyrenfurth; Dennis Depew; Donald Keating

Session 2155An Emerging Template for Professionally Oriented Faculty Reward Systemsthat Supports Professional Scholarship, Teaching, and Creative Engagement in Engineering Practice for the Development and Innovation of Technology D. A. Keating, 1 T. G. Stanford, 1 J. W. Bardo, 2 D. D. Dunlap, 2 D. R. Depew, 3 G. R. Bertoline, 3 M. J. Dyrenfurth, 3 A. L. McHenry, 4 P. Y. Lee, 5 E. M. DeLoatch, 6 S. J. Tricamo, 7 H. J. Palmer 8 University of South Carolina 1 / Western Carolina University 2 / Purdue University 3 Arizona State University East 4 / California Polytechnic State

Conference Session

Emerging Trends in Engineering Education

Collection

2004 Annual Conference

Authors

Joseph LaLopa; Mara Wasburn

the atmosphere. One protégé's mentor was described as"more interested in blowing his own horn than in any meaningful interaction." Another protégéagreed: "I have a lot of anger about my interaction with my mentor. All he did was offend andtalk and never listened to the protégés."7The Montclair State program described above relies heavily on the group as mentor, anetworking mentoring model discussed above.2, 3 As will be seen below, that approach stands insharp contrast to the Purdue's Faculty Mentoring Network program's reliance on the dyadicinteractions of mentor and protégé(s).The Faculty Mentoring Network at Purdue UniversityThe Faculty Mentoring Network (FMN) was conceived and implemented by the TeachingAcademy at Purdue University. The

Conference Session

Data Analytics in Education

Collection

2014 ASEE Annual Conference & Exposition

Authors

Matthew A. Verleger, Embry-Riddle Aeronautical Univ., Daytona Beach

Tagged Divisions

Computers in Education

 the  best  word(s)  to  branch  on  at  each  point  to  reduce  the  overall  error.  The  result  tends  to  be  a  more  accurate  tree  (as  each  branching  word  is  explicitly  chosen  to  reduce  the  classification  error),  but  for  a  non-­‐trivial  increase  in  the  amount  of  time  needed  to  identify  the  appropriate  words.    Each  item  took  between  8  and  10  hours  for  this  algorithm  to  identify  the  final

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

Foundation. The authors would also like to acknowledge Lauren Gibboney, JosephLuke, James McIntyre, John Nein, and Joshua Rush for their work developing the Adaptive Maptool.6. References[1] T. L. Russell, The No Significant Difference Phenomenon. North Carolina State University, 1999.[2] D. F. Dansereau, “Node-Link Mapping Principles for Visualizing Knowledge and Information,” in Knowledge and Information Visualization, vol. 3426, S.-O. Tergan and T. Keller, Eds. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005, pp. 61–81.[3] G. W. Ellis, A. Rudnitsky, and B. Silverstein, “Using concept maps to enhance understanding in Engineering Education,” International Journal of Engineering Education, vol. 20, pp. 1012–1021, 2004.[4] M. W. A