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Displaying results 18871 - 18900 of 22930 in total
Conference Session
Entrepreneurship and Innovation in First-Year Programs
Collection
2017 ASEE Annual Conference & Exposition
Authors
Chao Wang, Arizona State University
Tagged Divisions
Entrepreneurship & Engineering Innovation
through story telling. They then hadto describe in details of their market analysis, i.e., their potential customers and existingcompetitions. They made connections through this market research and interviews of potentialcustomers which resulted in proposing their own solution. Then they had to explain how theirsolution was different and how their design would add value in an economic, environmental, orsocietal sense such as reducing costs, increasing speed, expanding reach, eliminatinginefficiency, increasing effectiveness, or whatever value they could think of. Customerinvolvement was emphasized throughout the project, and students had to reflect on howcustomer feedback influenced their design.Assessment and ResultsThe entrepreneurial mindset
Conference Session
Electrical and Computer Division Technical Session 9
Collection
2017 ASEE Annual Conference & Exposition
Authors
Bridget Benson, California Polytechnic State University, San Luis Obispo; Fred W. DePiero, California Polytechnic State University, San Luis Obispo
Tagged Divisions
Electrical and Computer
loved the studio style setup. It helped me learn the material a lot easier than my friends in other classes. The labs we had were reflective of the material and had a point to them, while my friends in other style setups had pointless labs and didn't understand the material as well as I did. 11/10 would take this style of class again.” “The studio class was effective because immediately after we had lecture we would apply it in lab. Also, if lectures ever ended early, we would have more lab time and vice versa. I would want to take another studio EE class again.”Figure 3 reports average comments about retention. Students were posed the same statement intwo different ways to remove the potential bias from
Conference Session
Integrating Teaching Assistants, Tenure-track, and Non-tenure-track Faculty into a Cohesive Department
Collection
2017 ASEE Annual Conference & Exposition
Authors
Brad Wambeke, United States Military Academy; Brock E. Barry, U.S. Military Academy; Jakob C Bruhl P.E., U.S. Military Academy
Tagged Divisions
Civil Engineering
for students and teachers 4) It must make connections to the outside world and support core learning values.One objective of an effective learning environment is to promote deep learning by students.Entwistle & Peterson11 summarize guidelines for learning environments that promote deeplearning. These include relating new to prior knowledge, providing extensive examples todevelop accurate concepts, encouraging reflection and providing opportunities for discussionsnot just about the course content but also about the learning process. Struyven et al.12 describedthe role of the student in learning environment and provided suggestions for teachers to createenvironments that improve student perceptions of the environment, thereby
Conference Session
Teams, Teaching, Leadership, and Technical Communications in Mechanical Engineering
Collection
2017 ASEE Annual Conference & Exposition
Authors
Kenneth W. Van Treuren, Baylor University; Cynthia C. Fry, Baylor University
Tagged Divisions
Mechanical Engineering
Team,” Session 2525, ASEE Conference and Exposition, Nashville, TN, June 22-25,2003.19. Sheridan, Patricia, Gammal, Lobna, Phillips, Jennie, Evans, Greg, and Reeve, Dug, “A Team-effectivenessInventory for Guided Reflection and Feedback,” Paper ID #6820, ASEE Annual Conference and Exposition, Atlanta,GA, Jund 23-26, 2013.20. Sheppard, Keith, Dominick, Peter, and Blicharz, Edward, Developing Team-Work Skills Through a Core DesignThread, AC 2008-3132, ASEE Annual Conference and Exposition, Pittsburgh, PA, June 22-25, 2008.21. Edmonson, Charlie, and Summers, Donna, “Integrating Teamwork Across the Curriculum,” AC 2007-3248,ASEE Annual Conference and Exposition, Honolulu, Hawaii, June 24-27, 2007.22. Whalen, Richard, Freeman, Susan, Jaeger, Beverly
Conference Session
Minorities in Engineering Division Technical Session 4
Collection
2017 ASEE Annual Conference & Exposition
Authors
Kelly J. Cross, University of Illinois, Urbana-Champaign; Kathryn B.H. Clancy, University of Illinois, Urbana-Champaign; Ruby Mendenhall, University of Illinois, Urbana-Champaign; Princess Imoukhuede, University of Illinois Urbana Champaign; Jennifer R. Amos, University of Illinois, Urbana-Champaign
Tagged Topics
Diversity
Tagged Divisions
Minorities in Engineering
instrument started with explainingconsent to participate in the study and the participation requirements. The survey instrumentincluded multiple published and previously validated measurement scales. The measurementscales included the following: 1) identification with engineering 18 to measure engineeringidentity; ethnic identity scale 19 to measure the level of identification with racial or ethnicidentity; 3) Womanist Identity Attitude scale (WIAS) 20 to measure attitudes reflective of thefour stages of womanist identity development (i.e., Pre-encounter, Encounter, Immersion–Emersion, Internalization); and 4) the Patients Health questionnaire 21 is a self-report measure ofsymptoms of anxiety and depression. Each scale include Likert type questions
Conference Session
Pre-College: Robotics
Collection
2017 ASEE Annual Conference & Exposition
Authors
Linda Whipker, The Forge Initiative; Robert A. Mackie, The Forge Initiative; Lynn A. Albers, Campbell University
Tagged Divisions
Pre-College Engineering Education Division
authors embarked on the mission to investigate how common it was to use multipledrive teams, they did not expect these results. Having three drive teams on Team 3459 is uniquerelative to all the teams in North Carolina and 91 percent of the participating FRC teamsresponding used the traditional format of one drive team or one drive team plus a backup. Wewere surprised to see that another team in Michigan has considered this option and will try it thisseason.This was just a pilot study, and we observed potential issues with survey participant selection. ● Only teams with representation in Chief Delphi were invited to participate ● Because the invitation was in the form of a forum post, only teams that have spent time reflecting on the
Conference Session
Entrepreneurship and Innovation: Beyond the University
Collection
2017 ASEE Annual Conference & Exposition
Authors
Nathalie Neve, Portland State University; Shannon K. Keith-Marsoun, Portland State University
Tagged Topics
Diversity
Tagged Divisions
Entrepreneurship & Engineering Innovation
.” Finally, the last day of the course was the apex of the Invention Bootcamp, with apresentation of all projects in front of an open public.Assessment We collected data using one student focus group, two student surveys and a mentorsurvey. During the focus group, which took place during the final week of the program,students reflected on what they had learned, the challenges they faced, and theirperceived changes in attitude, knowledge, confidence and aspirations related to invention.All but one student (96 percent) participated in the focus group. Students took the student survey online as a group using their program-providedChromebooks, and it was administered in two parts. Part one was administered halfwaythrough the program, to capture a
Conference Session
Quantitative Research Methods
Collection
2017 ASEE Annual Conference & Exposition
Authors
Kevin A. Nguyen, University of Texas, Austin; Robert Matthew DeMonbrun, University of Michigan; Maura J. Borrego, University of Texas, Austin; Michael J. Prince, Bucknell University; Jenefer Husman, University of Oregon; Cynthia J. Finelli, University of Michigan; Prateek Shekhar, University of Michigan; Charles Henderson, Western Michigan University ; Cindy Waters, North Carolina A&T State University
Tagged Divisions
Educational Research and Methods
were chosen based on prior knowledge of their use of nontraditional teachingmethods as well as their self-selection into the study. The final study sample represents a mix ofgender, institution type, Carnegie type, and discipline, and the demographic and characteristicdata are reflected in Table 2. The total number of students used in the analysis was 997, andpairwise deletion was used to handle missing data across survey items.Table 2Survey Population and Characteristics of Engineering Instructors Course Instructor Institution Carnegie Course Number of label gender type classification* discipline** students 1 F
Conference Session
Understanding Student Development in Design
Collection
2017 ASEE Annual Conference & Exposition
Authors
Euisuk Sung, Purdue University, West Lafayette (College of Engineering); Todd Kelley, Purdue University, West Lafayette (College of Engineering)
Tagged Divisions
Design in Engineering Education
0 0 0 9 MA 1 31 1 0 7 0 3 43 Given MO 3 17 0 5 0 0 5 30 PR 2 8 0 2 0 0 4 16 QH 5 78 0 2 3 5 0 93 Totals 26 156 1 44 30 16 93 366 * AN-Analyzing; DE-Designing; DF-Defining problem; MA-Managing; MO-Modeling; PR-Predicting; QH-QuestioningThe observed frequencies show that there exist dominant iterations between designing andquestioning (f(DE→QH) = 78, f(QH→DE) = 78). This result reflects that participants oftenmoved back and forth between
Conference Session
Engineering Economy Division Technical Session 2
Collection
2017 ASEE Annual Conference & Exposition
Authors
Isaac W Wait, Marshall University; Sameh M. El-Sayegh, American University of Sharjah; Salwa Mamoun Beheiry, The American University of Sharjah
Tagged Divisions
Engineering Economy
learning gains that have arisen as a resultof student learning during a course of study.Concept inventories have been developed to assess student understanding in a variety of subjects,including physics1, statics2, biology3, genetics4, thermodynamics5, fluid mechanics6, light andspectroscopy7, dynamics8, chemistry9, digital logic10, thermal and transport science11,geoscience12, statistics13, and engineering hydrology14. Perhaps reflecting the wide range ofsubjects they seek to assess, there is substantial variation in the format and length of existingconcept inventories. Some utilize a multiple-choice structure, assigning an all-or-nothingoutcome to student responses, while others incorporate more detailed assessment of studentresponses in an
Conference Session
Technology for Faculty Development and Classroom Management
Collection
2017 ASEE Annual Conference & Exposition
Authors
Rebecca Marie Reck, Kettering University
Tagged Topics
Diversity
Tagged Divisions
New Engineering Educators
, I found it very helpful to be able to step back andobserve myself and reflect on it. As there are many positive benefits, candidates should considervideo recording their lectures.ResearchThe primary artifacts for research are publications and funding3. The key to accomplishing bothof these is staying organized. Staying organized was also the most common tip fromparticipants. Specific suggestions included consistent file names, sharing strategies, andplanning directory structures. The other common tip was ensuring files are backed up, eitherthrough the cloud or manually. All but one participant indicated using cloud storage; Figure 6shows the cloud storage used the most often by each participant. Another participant stressed theuse of
Conference Session
Entrepreneurship and Innovation: Beyond the University
Collection
2017 ASEE Annual Conference & Exposition
Authors
Jidong Huang, California State University, Fullerton; John B Jackson, California State University, Fullerton; Pradeep Nair, California State University, Fullerton; Amy Cox-Petersen, California State University, Fullerton
Tagged Topics
Diversity
Tagged Divisions
Entrepreneurship & Engineering Innovation
netpromoter items on a 0 to 10 scale, with 0 reflecting the highest positive value (“Interesting,”“Appealing,”) and 10 indicating the closest negative value (“Boring”, “Unappealing”). Table 1. Change in STEM-Inc Student Interest in Computer Science, Engineering & Entrepreneurship, Fall to Spring, 2015-2016 Total 2016 Traditional Lean 2016 2016 Mean Change Mean Change Mean Change (Pre-) (Post-) (Pre-) (Post
Conference Session
Student Division Diversity and Persistence Related Technical Session
Collection
2017 ASEE Annual Conference & Exposition
Authors
James Blake Gegenheimer, STEP; Charles Algeo Wilson IV, Louisiana State University; Adrienne Steele, Louisiana State University; Warren N. Waggenspack Jr., Louisiana State University
Tagged Divisions
Student
engineering degreedue to participation in ESI. As time continues and more data are collected, the authors expect tobe able to say this with increased statistical certainty. One major success of SI is the peer interaction. Students can receive positivereinforcement by learning from a student who has been able to excel in a historically difficultclass. Additionally, SIs tend to teach the material in a method that reflects a student’s train ofthought, which is more appealing to fellow undergraduate students. SI is also capitalizing on animportant stage of the learning process–repetition. By the SI repeating the material previouslydiscussed in lecture, students often come to understand the material better. As mentionedpreviously, other
Conference Session
Educational & Professional Issues of Strategic Importance to the Civil Engineering Profession – and ASCE
Collection
2017 ASEE Annual Conference & Exposition
Authors
Janey Camp P.E., Vanderbilt University; Leslie Nolen, American Society of Civil Engineers; Carolyn Sofman, American Society of Civil Engineers
Tagged Topics
Diversity
Tagged Divisions
Civil Engineering
, ASCE updated the series findings to reflect currentconditions, Failure to Act: Closing the Infrastructure Investment Gap for America's EconomicFuture (available at http://www.asce.org/failuretoact/). These reports cover 10 of the 16categories addressed by the Report Card for America’s Infrastructure, and give specific figureson the cost of infrastructure inefficiencies, including the: • cost to each family’s disposable income, • impact to American jobs, • added cost to U.S. businesses, and • overall impact to the U.S. economy. Figure 2: Failure to Act: Closing the Infrastructure Investment Gap for America's Economic FutureThe 2011 and 2012 infrastructure sector-specific reports of the Failure
Conference Session
Materials Division Technical Session 2
Collection
2017 ASEE Annual Conference & Exposition
Authors
James B. Pocock, U.S. Air Force Academy; Anthony Barrett, U.S. Air Force Academy
Tagged Topics
Diversity
Tagged Divisions
Materials
instilling confidence in the results in cases where there wasreasonable agreement or prompting reflection where there was not agreement.Typical wood strength values used in structural design are much lower than published clearstrength values. Clear strength values typically represent the mean as-tested values of clearspecimens (without knots, cracks or other defects), whereas design values are often two standarddeviations below the mean to ensure a 95% probability of the wood not failing. Toconservatively estimate the strength of pine in Uganda, EMI would typically use design valuesfor “mixed southern pine” from U.S. standards, which are shown in Table 4 below. Though thisstudy did not include enough clear specimens of each species of Ugandan wood
Conference Session
CoED: Embedded Systems and Robotics
Collection
2017 ASEE Annual Conference & Exposition
Authors
Michael Henry Schulz, The Ohio State University; Evan J. Danish, The Ohio State University; Tyler Wolf Leonhardt, Microsoft Corporation; John William Jackson, Ohio State University; David Joseph Frank, Ohio State University; Richard J. Freuler, The Ohio State University
Tagged Divisions
Computers in Education
took for events on thecourse to be reflected on the course computer’s display. This was caused by the overheadinvolved with creating and sending the messages, and with generating the address for a messagereceiver. Network packets sent via UDP, as in the original framework, are not guaranteed toarrive at their destination nor to arrive in any particular order, and issues involving droppedpackets impacted performance as well.These issues impacted the students because the tasks that their robots completed would notregister as soon as they needed to for the students to adequately progress in the challenge.Additionally, the steep learning curve of the system made it difficult to learn for new developers,which hindered the original intent for a
Conference Session
Emerging Computing and Information Technologies I
Collection
2017 ASEE Annual Conference & Exposition
Authors
Damla Turgut, University of Central Florida; Lisa Massi, University of Central Florida; Salih Safa Bacanli, University of Central Florida; Neda Hajiakhoond Bidoki, University of Central Florida
Tagged Topics
Diversity
Tagged Divisions
Computing & Information Technology
mentor (11variables) on the post-survey is 4.35 (out of 5) with std = 0.97. An inspection of the Q-Qplots and histogram graphs for the remaining five variables (v2, v4, v5, v8, and v12) forwhich the confidence interval were not computed (variables not normally distributed) showone or two outliers. These outliers could be a reflection of the type of research project andthe student’s academic level.Table 2 (Evaluation 1): CISE REU Survey Constructs Differences df Std. Error 95% confidence interval Mean SmdConstructs
Conference Session
Women in Engineering Division Technical Session 5
Collection
2017 ASEE Annual Conference & Exposition
Authors
Anne-Marie A Lerner, University of Wisconsin, Platteville; Christopher Frayer, University of Wisconsin - Platteville
Tagged Topics
Diversity
Tagged Divisions
Women in Engineering
funding and retention data areperhaps more reflective of the unique differences between each participant rather than a true measureof the program’s impact.During the inaugural 2014/2015 academic year the EMS NFLC met 23 times and averaged sevenparticipants per meeting (from a pool of 27 new faculty and academic staff). There were 17 uniqueparticipants, and 15 faculty and staff participated in two or more meetings. During the 2015/2016academic year, the EMS NFLC met 22 times and averaged four participants per meeting (from a pool of13 new faculty and academic staff). There were 8 unique participants, and 7 faculty and staffparticipated in two or more meetings.Feedback from participating faculty during the first two years was overwhelmingly
Conference Session
Professional Skills Development
Collection
2017 ASEE Annual Conference & Exposition
Authors
Matthew Cooper, North Carolina State University
Tagged Divisions
Chemical Engineering
.” Chemical Engineering Education 46 (4), 251–259 (2012).18. K. Mineart and M. Cooper, “Evaluation of Student Reflection as a Route to Improve Oral Communication.” Chemical Engineering Education 50 (3), 177–185 (2016).19. Millennial Marketing, “Do Millennials Read? Yes, But They Read Differently,” from http://www.millennialmarketing.com/2010/05/do-millennials-read-yes-but-they-read-differently/, last accessed Feb 6 2017.AppendixRubrics used by the author during this study are given in Figures A1 – A4.Figure A1. Instructor grading rubric for individual student (as oral presenter).Figure A2. Instructor grading rubric for individual student (as question answerer).Figure A3. Instructor grading rubric for group presentation slides (DBP format
Conference Session
Women in Engineering Division Technical Session 5
Collection
2017 ASEE Annual Conference & Exposition
Authors
Carol Elizabeth Marchetti, Rochester Institute of Technology (COE); Elizabeth Dell, Rochester Institute of Technology (COE); Maureen S. Valentine, Rochester Institute of Technology (CAST); Sharon Patricia Mason, Rochester Institute of Technology; Margaret B. Bailey, Rochester Institute of Technology (COE); DeLois Kijana Crawford, Rochester Institute of Technology (GCCIS)
Tagged Topics
Diversity
Tagged Divisions
Women in Engineering
through a practice of initiating, partnering, and policy making.Advance team members and key campus partners commence change initiatives by identifyingbarriers. Once a new program is developed, input and feedback gathered through campuspartnerships. Finally, successful ideas inform policies and procedures to formalize new practices.AcknowledgementsSupport for this research was provided by the National Science Foundation ADVANCEInstitutional Transformation program under Award No. 1209115. Any opinions, findings, andconclusions or recommendations expressed in this material are those of the author(s) and do notnecessarily reflect the views of the National Science Foundation.References[1] RIT Human Resources and Institutional Research (2015). NSF
Conference Session
Integrity and the Problem of Cheating
Collection
2017 ASEE Annual Conference & Exposition
Authors
Irene B. Mena, University of Pittsburgh; David V.P. Sanchez, University of Pittsburgh
Tagged Divisions
Engineering Ethics
’ perceptions of and experiences with academic integrity postK-12 (at the start of their undergraduate experience). It answers the following researchquestions: (1) How do students define academic dishonesty? (2) What is the frequency withwhich they witness and participate in academically dishonest behaviors?, and (3) What are themotivations for engaging in these behaviors?Because the data were gathered at the start of students’ freshman year, the results reflect theperceptions and attitudes about academic integrity that were the result of students’ K-12experience. The results indicate the perceptions and attitudes that students bring with them to theUniversity, the lens through which their college experience will be seen and which their
Conference Session
Architectural Division Technical Session 1
Collection
2017 ASEE Annual Conference & Exposition
Authors
Scott Gerald Shall, Lawrence Technological University
Tagged Topics
Diversity
Tagged Divisions
Architectural
have developed a need for patronage, as well asthe related reliance upon idiosyncratic terms and isolated practices can be found in MargaretCrawford’s writing, “Can Architects Be Socially Responsible?” Similar trends, often morepronounced, can be found within the processes used by engineers. SOURCE? MargaretCrawford, “Can Architects Be Socially Responsible?” in Out of Site: A Social Criticism ofArchitecture, edited by Diane Ghirardo (Seattle: Bay Press, 1990): 27-45.ix Jerome Bruner, Toward a Theory of Instruction (Cambridge: Harvard University Press, 1966),82-83.x Bruner, 25-26.xi Bruner, 72 (emphasis mine).xii “If this meaning is at once accepted, there is no reflective thinking, no genuine judgment.Thought is cut short
Conference Session
Makers, Making, and the Maker Movement
Collection
2017 ASEE Annual Conference & Exposition
Authors
Aditya Johri, George Mason University
Tagged Topics
Diversity
Tagged Divisions
Educational Research and Methods
, is a social and discursive practice and understanding itrequires paying close attention at the micro-level. The concept of genre, in turn, highlightsthe recurrent and situated nature of discursive practices, and provides robust methodologicaltools for studying the production, reproduction, and change of discourse. For example, instudying the electronic discourse of a group of computer scientists, Orlikowski and Yates[18] identified the repertoire of genres enacted by the participants over time and showed howthese discursive actions reflected their collective purposes as well as the shared norms andrelations of their occupational community. Similarly, learning in any given setting that relieson repeated discursive acts, which can be
Conference Session
Architectural Division Technical Session 2
Collection
2017 ASEE Annual Conference & Exposition
Authors
Charlie Setterfield, Sinclair Community College; Chad R. Bridgman, Sinclair Community College
Tagged Topics
Diversity
Tagged Divisions
Architectural
assigned to mentor the student through the semester.The academic component of the internship includes the preparation of various reports thatdocument the student’s role in the company, how they are leveraging networking and growthopportunities and reflection on the internship experience itself.The student is required to coordinate an on-site, face-to-face meeting with their immediatesupervisor and faculty advisor to discuss their progress throughout the internship. The studentintern is required to take meeting notes to document the conversation with a focus onaccomplishments and continuous improvement areas. The faculty advisor uses a preparedgrading rubric for each assignment, reviews and grades the report and reports the correspondinggrades
Conference Session
Writing and Communication
Collection
2017 ASEE Annual Conference & Exposition
Authors
Vukica M. Jovanovic, Old Dominion University; Denise Tombolato-Terzic, Christopher Newport University; Daniel P. Richards, Old Dominion University; Pilar Pazos, Old Dominion University; Megan McKittrick, Old Dominion University; Julia Romberger, Old Dominion University; Otilia Popescu, Old Dominion University
Tagged Divisions
Liberal Education/Engineering & Society
multiple viewpoints related to the problem, question or topic. SLO 4. Students will be able to apply appropriate research methods or theoretical framework to the problem, question or topic. SLO 5. Students will be able to formulate conclusions that are logically tied to inquiry findings and consider applications, limitations, and implications. SLO 6. Students will be able to reflect on or evaluate what was learned.The pre-test sample included 158 students (n=84) and post-test included 84 student (n=84).Result scores based on the different units are shown in Table 1. Table 1: Pre-Workshop and Post-Workshop student scores (range: 1-5) based on IDW Rubrics Student Learning
Conference Session
First-Year Programs: Assessment
Collection
2017 ASEE Annual Conference & Exposition
Authors
Noah Salzman, Boise State University; Matthew W. Ohland, Purdue University, West Lafayette (College of Engineering); Monica E. Cardella, Purdue University, West Lafayette (College of Engineering)
Tagged Divisions
First-Year Programs
was supported by the National ScienceFoundation (EEC Grant # 1550961). Any opinions, findings, conclusions, or recommendationsdo not necessarily reflect the views of the National Science Foundation.References1. NGSS Lead States. Next Generation Science Standards. (Achieve, Inc. on behalf of the twenty-six states and partners that collaborated on the NGSS, 2013).2. Carr, R. L., Bennett, L. D. & Strobel, J. Engineering in the K‐12 STEM Standards of the 50 US States: An Analysis of Presence and Extent. Journal of Engineering Education 101, 539– 564 (2012).3. Moore, T. J., Tank, K. M., Glancy, A. W. & Kersten, J. A. NGSS and the landscape of engineering in K-12 state science standards. J Res Sci Teach 52, 296–318 (2015).4
Conference Session
Integrating Teaching Assistants, Tenure-track, and Non-tenure-track Faculty into a Cohesive Department
Collection
2017 ASEE Annual Conference & Exposition
Authors
Tanya Kunberger P.E., Florida Gulf Coast University; Chris Geiger, Florida Gulf Coast University; Jackie Greene, Florida Gulf Coast University
Tagged Divisions
Civil Engineering
activities, discussion, instruction and reflection. Although each of the TAs hadpreviously taken the course, some as recently as the previous semester, since they were selectedfrom three different engineering programs, not all of the individuals knew one another. On thefirst day, as shown in Figure 1, students introduced themselves, and played a few icebreakergames to get to know one another a bit better. From there, course logistics were presented by theinstructors; what the students as Mentor TAs would be expected to do, how much time theycould anticipate needing to do the job well and what the course schedule would be in regards totheir responsibilities. From there, students were introduced to the LMS from a teacher’sviewpoint; although they had
Conference Session
Predicting Student Success
Collection
2017 ASEE Annual Conference & Exposition
Authors
Seyedhamed Sadati, Missouri University of Science & Technology; Nicolas Ali Libre, Missouri University of Science & Technology
Tagged Divisions
Educational Research and Methods
following conclusions are warranted: • Student’s performance at the beginning of semester is highly correlated to their performance throughout the semester. This enables developing an early alert system by monitoring students at the beginning of semester. • Early semester homework assignments, mid-term exams, and in-class practice problems can be employed as Students Performance Indicators (SPI) for developing the prediction model. • Among the considered SPIs, the in-class practice problem indicator that reflects the active involvement of students in class exercises showed the highest regression coefficient. This emphasizes the importance of student’s participation in class activities on their
Conference Session
Student Division Early Introduction to Engineering Technical Session
Collection
2017 ASEE Annual Conference & Exposition
Authors
Md Tarique Hasan Khan, Wayne State University; Kamyar Raoufi, Oregon State University; Kijung Park, Iowa State Univerisity; Tasnia Reza; Carolyn E Psenka, Wayne State University; Kathy Schmidt Jackson, Pennsylvania State University, University Park; Karl R. Haapala, Oregon State University; Gül E. Okudan Kremer, Iowa State University; Kyoung-Yun Kim, Wayne State University
Tagged Divisions
Student
, thathelping students to achieve appropriate learning outcomes is a complex process [11]. Gunstonesupported the use of the laboratory as the setting for students to gain knowledge [12]. Hofstein andLunetta suggested that if students were supported with enough time and opportunities forinteraction and reflection, that meaningful learning would happen in the laboratory [11]. However,students are usually engaged in technical activities with few opportunities to interpret and statetheir beliefs about the meaning of their laboratory work [12]. It is, therefore, crucial to provideopportunities that encourage students to ask questions, make design inquiries, and suggesthypotheses. Consequently, it is necessary to provide frequent opportunities for the
Conference Session
Engineering Design Graphics Division Technical Session 1: Instructional
Collection
2017 ASEE Annual Conference & Exposition
Authors
Shilun Hao, Ohio State University; Adrian Hadipriono Tan, Ohio State University; Fei Yang, Ohio State University; Fabian Hadipriono Tan P.E., Ohio State University; Michael Parke, Ohio State University
Tagged Topics
Diversity
Tagged Divisions
Engineering Design Graphics
with dougong isthat it is well-known for its intensive use of dougong in the construction of each level, as shownin Fig. 4., reflecting the first peak in the development history of dougong in that time.Fig. 4: Intensive dougong used in the levels of the Yingxian Wooden PagodaII. Methods --- Graphics Pipeline The methods of establishing the VR simulation of dougong in this paper, known as agraphics pipeline, consist of four stages: (1) initial modeling, (2) advanced modeling, (3) VRproduction, and (4) dissemination for education, as shown in Fig. 5. Fig. 5: Graphical pipeline to establish the VR simulation In the initial modeling stage, the primary objective was to build the basic 3-D models ofthe components, and to assemble