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Factors Affecting Concept Retention

Conference Session: Student Learning
Collection: 2009 Annual Conference & Exposition
Authors: Philip Parker, University of Wisconsin, Platteville
Tagged Divisions: Educational Research and Methods

categorical variable (1 if student took Fluid Mechanics from Professor #2, 0 otherwise)Time “elapsed time” between when the student enrolled in Fluid Mechanics and took the quizGrade_A categorical variable (1 if student received an ‘A’ in Fluid Mechanics, 0 Page 14.623.4 otherwise)Grade_B categorical variable (1 if student received a ‘B’ in Fluid Mechanics, 0 otherwise)GPA student’s overall GPA on the 10th day of the semester in which they took the quiz.Fourteen

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The Effects of Transitioning an Undergraduate Mechanical Engineering Course from Shorter and More Frequent Class Periods to Longer and Fewer In-Class Sessions

Conference Session: ERM Technical Session
Collection: 2019 ASEE Annual Conference & Exposition
Authors: Matthew Louis Miller, United States Military Academy; Jeffrey Michael Rigney, United States Military Academy; Daniel Arnold, Unites States Military Academy at West Point; David M. Flaherty, United States Military Academy
Tagged Divisions: Educational Research and Methods

process. Currently, the best metric for communicating studentlearning is their performance on major individual assessments within the courses. At theengineering department under consideration, a standard set of course assessments consists ofthree tests and a final examination. While test content changes each semester and the gradingvaries based on course instructor, final examinations are closely guarded and held constant inorder to obtain consistent data across academic years and observe trends.Table 1 presents the assessment scores for students in the four courses considered in this paper.Courses “A” and “B” occurred during the fall semester of the 2019 academic year, while courses“C” and “D” occurred during the spring semester. Because the

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What Affects Student Outcomes More: GPA or Participation in Co-curricular Activities?

Conference Session: Degree Pathways and Cocurricular Experiences
Collection: 2020 ASEE Virtual Annual Conference Content Access
Authors: Joanna Mirecki Millunchick, University of Michigan; Yixian Zhou, University of Michigan
Tagged Divisions: Educational Research and Methods

a. social and professional outcomes observed? b. Grade Point Averages (GPAs) observed? 2. What are the relationships between the type of participation and GPA on outcomes?Table 1: Distribution of the demographics and socioeconomic status within the survey sample,sample frame, and national engineering R1 institutions. Survey Sample (%) Sampling Frame (%) National Samplea (%) N = 873 N = 4022Female 362 (41.5) 1033 (25.7) (24.0)Male 511 (58.5) 2989 (74.3) (76.0)URM 81 (9.3) 711 (17.7) (20.0

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Assessment of Learning Effectiveness in Online and Face-to-Face Learning Environment for Engineering Education

Conference Session: Teaching and Learning in Online Environments
Collection: 2020 ASEE Virtual Annual Conference Content Access
Authors: Prabodh Panindre, New York University; Richard S. Thorsen, New York University
Tagged Topics: Diversity
Tagged Divisions: Educational Research and Methods

from the university’s Institutional Board Review (IRB) was obtained for the procedures to be followed in the experiment. An online and classroom section of each subject was created. Students were enrolled in these sections based on their preference and course schedule for the semester ensuring approximately the same number of students in each of the two learning environments for each of the two courses. A brief survey was conducted in the two Thermodynamics sections to gain some insight into why students enrolled in the online or onsite section. Onsite students enrolled in the classroom section due to two main reasons: (a) many believed they would learn better in a traditional classroom environment (b) many were

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From the Mouths of Students: Two Illustrations of Narrative Analysis to Understand Engineering Education’s Ruling Relations as Gendered and Raced

Conference Session: Methodological & Theoretical Contributions to Engineering Education 3
Collection: 2014 ASEE Annual Conference & Exposition
Authors: Alice L Pawley, Purdue University, West Lafayette; Canek Moises Luna Phillips, Purdue University, West Lafayette
Tagged Divisions: Educational Research and Methods

have beenmore difficult to see had we adopted a more conventional thematic or coding analytic process. Page 24.633.12 Table 4: Analytical steps for this study # Step name Description Interviewer summary 1. How did my RCG structure my questions, interactions with the participant? reflection. (Word doc) A. Table of contents, label “sidebars” conversations (that don’t seem Map out the story (Word relevant to the primary discussion). 2. doc) B. List the

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Validating Measures Of Future Time Perspective For Engineering Students: Steps Toward Improving Engineering Education

Conference Session: Assessment and Evaluation in Engineering Education II
Collection: 2007 Annual Conference & Exposition
Authors: Jenefer Husman, Arizona State University; Christa Lynch, Arizona State University; Jonathan Hilpert, Arizona State University; mary ann Duggan, Arizona State University
Tagged Divisions: Educational Research and Methods

-InstitutionalStudy,” Journal of Engineering Education, Vol. 93, 2004, pp. 313–320. [3] Felder, R.M., Brent, R., “Understanding Student Differences,” Journal ofEngineering Education, Jan., 2005, pp. 57–72. [4] Seymour, E., and Hewitt, H., Talking about Leaving: Why Undergraduates Leave theSciences, Boulder, Colo.,: Westview Press, 1997. [5] Packard, B. W. l., and Nguyen, D., “Science career-related possible selves ofadolescent girls: a longitudinal study,” Journal of Career Development, Vol 29, No. 4, 2003, pp.251-263. [6] Husman, J., and Lens, W., “The role of the future in student motivation,”Educational Psychologist, Vol. 34, No. 2, 1999, pp. 113-125. [7] Lang, F. R., and Carstensen, L. L., “Time counts: Future time

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Flipped Classroom Approach: Probability and Statistics Course for Engineers

Conference Session: Teaching and Learning Strategies I
Collection: 2015 ASEE Annual Conference & Exposition
Authors: Natasa S. Vidic, University of Pittsburgh; Renee M Clark, University of Pittsburgh; Erin Gross Claypool, University of Pittsburgh
Tagged Divisions: Educational Research and Methods

Statistics Concepts Inventory: Developing a Validand Reliable Instrument”, ASEE Conference, 2004.9. delMas, R., Garfield, J., Ooms, A., & Chance, B. (2007). “Assessing students’ conceptual understanding after afirst course in statistics”, Statistics Education Research Journal, 6(2), 28-58.10. Wilson, S. (2013). The Flipped Class: A Method to Address the Challenges of an UndergraduateStatistics Course. Teaching of Psychology, 40(3), 193-199.11. Hussey, H., Fleck, B., & Richmond, A. (2014). Promoting Active Learning through a Flipped Course Design.In J. Keengwe, G. Onchwari, & J. Oigara (Eds.), Promoting Active Learning Through the Flipped Classroom Model(23-46). Hershey, PA: IGI Global.12. Strayer, J. (2012). How Learning in an Inverted

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Understanding Students’ Process for Solving Engineering Problems Using Eye Gaze Data

Conference Session: Student Learning, Problem Solving, & Critical Thinking 1
Collection: 2014 ASEE Annual Conference & Exposition
Authors: Youyi Bi, School of Mechanical Engineering, Purdue University; Tahira N. Reid, Purdue University, West Lafayette
Tagged Divisions: Educational Research and Methods

determined bythe length of time people took to complete the questions. The use of six questions providedsufficient information for our study. A sample PSVT problem is shown in Figure 1. Theparticipants were asked to study how the object in the top line of the question was rotated andthen determine how the object shown in the middle line will appear when rotated in exactly thesame way. Finally, they had to select the representation that looks like the object rotated in thecorrect position from five alternative drawings (A, B, C, D or E) given. In this sample problem,A, B, D and E are wrong; only C looks like the object rotated according to the given rotation

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The Transition From High School Physics To First Year Electrical Engineering: How Well Prepared Are Our Students?

Conference Session: STEM Pipeline: Pre-College to Post-Baccalaureate
Collection: 2008 Annual Conference & Exposition
Authors: Chris Smaill, University of Auckland; Elizabeth Godfrey, University of Auckland; Gerard Rowe, University of Auckland
Tagged Divisions: Educational Research and Methods

resources and assessment items. The success of these changes has beenevidenced by higher pass rates for similar entering cohorts of students, and also by increasedunderstanding through the duration of the course.AcknowledgementsThe authors acknowledge the assistance received from Student Administration at theUniversity of Auckland to access the data used for NCEA and CIE analysis. Page 13.1273.16Bibliography 1. Cleland, A. (2007). A great time to be an engineer? InRoads, August. Pg 6. Accessed at http://www.ipenz.org.nz/ipenz/Media_Comm/2007/InRoads.pdf on 17 August, 2007. 2. French, B. F., Immekus, J.C. and Oakes, W. (2005). An examination of

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Office Hours Re-imagined: Mentored Learning in Ideation Spaces

Conference Session: Mentoring, Advising, and Facilitating Learning
Collection: 2016 ASEE Annual Conference & Exposition
Authors: Thomas F. Schubert Jr. P.E., University of San Diego; Frank G. Jacobitz, University of San Diego; Ernest M. Kim, University of San Diego
Tagged Divisions: Educational Research and Methods

distinct preference for the SMSE ideationspace: “I liked using the ideation space b/c there is more room to communicate with otherstudents, as well as the professor.” Other students had a positive perspective on both spaces: ”Ithink both spaces were fine, but more individual in office and a lot of peer help as well asprofessor’s help in ideation space.”Still, large spaces do have negative aspects: “I feel others are distracted if there are lots ofstudents making noise in the ideation space”; “[the] office is quieter”. One situation noticed byboth faculty and students was the tendency for students to cluster around the professor creating asituation similar to a wall-less office: “I believe that when the office hours were done in theideation space

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Quantitative Asessment of Program Outcomes Using Longitudinal Data from the FE Exam

Conference Session: Assessment of Student Learning 1
Collection: 2013 ASEE Annual Conference & Exposition
Authors: Joe C. Guarino, Boise State University; James R Ferguson P.E., Boise State University; V Krishna C Pakala, Boise State University
Tagged Divisions: Educational Research and Methods

Page 23.1013.3\ Table 2: ABET Outcomes and Assessment Methods ABET Outcome SES FE CDSA CRSW (a) (apply math, science and P S engineering) (b) (conduct and design S P experiments) (c) (design a system, component S P P or process) (d) (multidisciplinary teamwork) S S P (e) (identify and solve eng

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Determining the Effect of an Engineering Overview Assignment on First-Year Students

Conference Session: Trends in Engineering Education 1
Collection: 2014 ASEE Annual Conference & Exposition
Authors: Khairiyah Mohd-Yusof, Universiti Teknologi Malaysia; Fatin Aliah Phang, Faculty of Education, Universiti Teknologi Malaysia; Aziatul Niza Sadikin, Universiti Teknologi Malaysia; Syed Ahmad Helmi, Universiti Teknologi Malaysia; Mohd Johari Kamaruddin, Centre of Lipids Engineering & Applied Research (CLEAR), Faculty of Chemical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia.
Tagged Divisions: Educational Research and Methods

activity for first year engineering students to support them tolearn and appreciate engineering.References:1. Duderstadt J. J. (2008). Engineering for a Changing World: A Roadmap to the Future of Engineering Practice, Research and Education. The University of Michigan: The Millennium Project.2. The Royal Academy of Engineering (2007). Educating Engineers for the 21st Century. London: The Royal Academy of Engineering.3. Jones, B. E., Paretti, M. C., Hein, S. F. & Knott, T. W. (2010). An analysis of motivation constructs with first-year engineering students: Relationships among expectancies, values, achievement, and career plans. Journal of Engineering Education, 99(4), 319-336.4. Bransford, J., Vye, N. &

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The Use of Engineering Notebooks in an RET Experience

Conference Session: K-12 and Bridge Experiences in Engineering Education
Collection: 2020 ASEE Virtual Annual Conference Content Access
Authors: Matthew T. Stimpson, North Carolina State University; Jerome P. Lavelle, North Carolina State University; Laura Bottomley, North Carolina State University
Tagged Divisions: Educational Research and Methods

-Manguinhos, vol. 26, pp. 1013-1025, 20195. P. Calvert. “Should all lab books be treated as vital records? An investigation into the use of lab books by research scientists. Australian Academic & Research6. S. Horwitz and I. B. Horwitz, “The effects of team diversity on team outcomes: A meta- analytic review of team demography”. Journal of Management, vol. 33, pp. 987-1015, 2007 .7. J. Zeng, M. Hillman, and M. Arnold. “Impact of the implementation of a well-design electronic laboratory notebook on bioanalytical laboratory function. Bioanalysis, vol. 3, 1501-1511, 2011.8. O. M. Amaral, L. Garrison, & M. Klentschy (2002) Helping English Learners Increase Achievement Through Inquiry-Based Science Instruction. Bilingual Research

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Moving Beyond "Does Active Learning Work?" with the Engineering Learning Observation Protocol (ELCOT)

Conference Session: Active Learning Methods in Action
Collection: 2018 ASEE Annual Conference & Exposition
Authors: Megan Sanders, Colorado School of Mines; Sam Spiegel, Colorado School of Mines; Jennifer Zoltners Sherer, University of Pittsburgh
Tagged Divisions: Educational Research and Methods

. For this reason, we argue that theELCOT can serve an important role in helping the field of Engineering Education take “a morenuanced approach to active learning” (Streveler & Menekse, 2017, p. 189). ReferencesFreeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., & Wenderoth, M. P. (2014). Active learning increases student performance in science, engineering, and mathematics. Proceedings of the National Academy of Sciences, 111(23), 8410-8415.Prince, M. (2004). Does active learning work? A review of the research. Journal of Engineering Education, 93(3), 223-231.Resnick, L. B. (1999, June 16). Making America smarter. Education Week Century

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Internationalizing Engineering Education Research: Mapping Countries And Keywords To Identify New Collaborative Horizons

Conference Session: Knowing Our Students, Faculty, and Profession
Collection: 2009 Annual Conference & Exposition
Authors: Brent Jesiek, Purdue University; Maura Borrego, Virginia Tech; Kacey Beddoes, Virginia Tech; Miguel Hurtado, Purdue University
Tagged Divisions: Educational Research and Methods

Education. 2008. 97(4): 393- 394.4 Lemaine, G., Macleod, R., Mulkay, M., and Weingart, P. Introduction: Problems in the Emergence of New Disciplines. In G. Lemaine, R. Macleod, M. Mulkay, and P. Weingart (Eds.), Perspectives on the Emergence of Scientific Disciplines. 1976. Mouton: Parex.5 Lohmann, J., and DeGraaff, E. Advancing the Global Capacity for Engineering Education Research (AGCEER): A Year of International Dialogue. Proceedings of the 2008 SEFI Annual Conference. Aalborg, Denmark, July 2-5, 2008.6 Jesiek, B., Beddoes, K., and Borrego, M. Advancing Global Capacity for Engineering Education Research: Placing the Field in an International Context. Draft Manuscript.7 Wankat, P. C. An Analysis of the

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Improving Writing In Civil And Environmental Engineering Courses Using Claqwa, An Online Tool For Writing Improvement

Conference Session: Student Learning
Collection: 2010 Annual Conference & Exposition
Authors: Maya Trotz, University of South Florida; Ken Thomas, University of South Florida; Jeffrey Cunningham, University of South Florida; Qiong Zhang, University of South Florida
Tagged Divisions: Educational Research and Methods

scale traits A. B. C. D. E. Assignment Organization Organizational Language: Observation Parameters and Development: Contextual & of Standard Development Reasoning & Audience Edited : Structural Development of Appropriateness English: Integrity Ideas Grammar & Mechanics1.Assignment 5. Opening 9. Reasoning 12. Word Choice 16. GrammarRequirements 6

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Formulating Predictive Models of Engineering Student Throughput

Conference Session: Issues in Advising and Mentoring
Collection: 2013 ASEE Annual Conference & Exposition
Authors: Gillian M. Nicholls, University of Alabama in Huntsville
Tagged Divisions: Educational Research and Methods

2005 through 2015 isestimated at nearly 3,000 students.The data collection will start by studying the course enrollment and success rates for a subset ofgateway courses at UAHuntsville to measure the probabilities of successful completion (earningan A, B, or C), unsuccessful completion (earning a D or F), and withdrawal for students given atheir individual sets of characteristics and factors. The gateway class sizes at UAHuntsville aresizeable enough to provide an extensive set of records over the anticipated 10 year period. Forexample, during the 2011-2012 academic year student enrollment figures for the Calculus A – Csequence were 608, 486, and 483 students, respectively. Similarly, the total 2011-2012enrollment for the Physics 1 and 2

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Comparing Disparate Outcome Measures for Better Understanding of Engineering Graduates

Conference Session: Assessment and Outcomes: ERM Roundtable
Collection: 2015 ASEE Annual Conference & Exposition
Authors: Samantha Ruth Brunhaver, Arizona State University; Shannon Katherine Gilmartin, Stanford University; Helen L. Chen, Stanford University; Holly M Matusovich, Virginia Tech; Sheri Sheppard, Stanford University
Tagged Topics: Diversity
Tagged Divisions: Educational Research and Methods

offers moreclarity in meaning, and more variability in response, than other, binary (e.g., engineering vs. non-engineering) measures. The six additional measures examined from our survey include (a) one’sown description of his or her position as engineering or non-engineering, (b) self-identificationas an engineer (irrespective of current position), (c) engineering degree-job relatedness, (d)importance ratings of engineering competencies to their current work, (e) engineering degreeattainment, and (f) future plans to pursue engineering work. We examine identity and theimportance that graduates assigned to engineering competencies based on findings showing thatnearly three in four engineering graduates not working in an engineering field still

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Using Phenomenography To Investigate Different Ways Of Experiencing Sustainable Design

Conference Session: New Models for Teaching and Learning
Collection: 2007 Annual Conference & Exposition
Authors: Llewellyn Mann, University of Queensland; Gloria Dall'Alba, University of Queensland; David Radcliffe, University of Queensland
Tagged Divisions: Educational Research and Methods

AC 2007-1541: USING PHENOMENOGRAPHY TO INVESTIGATE DIFFERENTWAYS OF EXPERIENCING SUSTAINABLE DESIGNLlewellyn Mann, University of Queensland LLEWELLYN MANN is a PhD student in the School of Engineering at the University of Queensland and a member of the Catalyst Research Centre for Society and Technology. He has a Bachelor of Engineering (Mechanical & Space) and a Bachelor of Science (Physics) from UQ, as well as a Graduate Certificate of Education (Higher Education). Major research interests include; Engineering Education, Sustainability, Teaching and Learning, Engineering Design, Technology and Society.Gloria Dall'Alba, University of Queensland GLORIA DALL'ALBA teaches and

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Are We Accepting The Right Students To Graduate Engineering Programs: Measuring The Success Of Accepted Students Via Data Envelopment Analysis

Conference Session: Student Recruitment and Retention
Collection: 2008 Annual Conference & Exposition
Authors: Elif Kongar, University of Bridgeport; Mahesh Baral, University of Bridgeport; Tarek Sobh, University of Bridgeport
Tagged Divisions: Educational Research and Methods

regard, a two-stepapproach is developed. In the first step, an output oriented Data Envelopment Analysis (DEA) hasbeen utilized to evaluate and rank the accepted applicants depending on various criteria; forexample, GRE and TOEFL scores, GPA, number of below-B grades in the Bachelor of Sciencetranscripts, and other parameters. Following this, an additional ranking algorithm is implementedand run to determine the degree of success among the same set of accepted students, following theirprogress in the program till they graduate.The results of the two ranking algorithms are then compared to validate the appropriateness of theselection criteria. A case study is included to demonstrate the steps and applicability of the proposedDEA approach

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Using High School and District Economic Variables to Predict Engineering Persistence

Conference Session: Before and After: Matriculants and Alumni
Collection: 2012 ASEE Annual Conference & Exposition
Authors: Marisa K. Orr, Purdue University; Nichole M. Ramirez, Purdue University; Matthew W. Ohland, Purdue University, West Lafayette; Valerie Lundy-Wagner, New York University
Tagged Divisions: Educational Research and Methods

predicted probability ofgraduation in engineering within six years for students at each institution by PESavg. A B C D E F G H J Figure 1. Predicted probability of six-year graduation in engineering by institutionAt institutions C,E,F,H and J, students with high values of PESavg are most likely to graduate inengineering, while other institutions show a more neutral effect (A, D, and G). Only oneinstitution, B, showed that PESavg has a negative effect on six-year graduation. Examination of Page 25.1427.7the confidence limits in

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Engineering Identity and Project-Based Learning: How Does Active Learning Develop Student Engineering Identity?

Conference Session: Engineering Identity
Collection: 2017 ASEE Annual Conference & Exposition
Authors: Justin Charles Major, University of Nevada, Reno; Adam Kirn, University of Nevada, Reno
Tagged Divisions: Educational Research and Methods

States of America 111, 8410–5 (2014).4. Daniel, K. L. Impacts of Active Learning on Student Outcomes in Large-Lecture Biology Courses. The American Biology Teacher 78, 651–655 (2016).5. Elgin, G. et al. Insights from a Convocation: Integrating Discovery-Based Research into the Undergraduate Curriculum. Cell Biology Education 15, (2016).6. President’s Council of Advisors on Science and Technology. Engage To Excel: Producing One Million Additional College Graduates With Degrees In Science, Technology, Engineering, and Mathematics.7. Marra, R., Rodgers, K., Shen, D. & Bogue, B. Leaving Engineering: A Multi-Year Single Institution Study. Journal of Engineering Education 101, 6–27 (2012).8. Tajfel, H

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Characterizing the Alignment in Faculty and Student Beliefs

Conference Session: Understanding the Discipline of Engineering
Collection: 2017 ASEE Annual Conference & Exposition
Authors: Edward J. Berger, Purdue University, West Lafayette (College of Engineering); Gireesh Guruprasad, Purdue University, West Lafayette (College of Engineering); Ryan R. Senkpeil, Purdue University, West Lafayette (College of Engineering)
Tagged Divisions: Educational Research and Methods

' Thought Processes. Occasional Paper No. 72.[2] Stern, P., & Shavelson, R. J. (1983). Reading teachers' judgments, plans, and decision making. The Reading Teacher, 37(3), 280-286.[3] Gow, L., & Kember, D. (1993). Conceptions of teaching and their relationship to student learning. British journal of educational psychology, 63(1), 20-23.[4] Willcoxson, L. (1998). The impact of academics' learning and teaching preferences on their teaching practices: A pilot study. Studies in Higher Education, 23(1), 59-70.[5] Solomon, B. A., & Felder, R. M. (1999). Index of learning styles. Raleigh, NC: North Carolina State University. Available online.[6] Zywno, M., & Waalen, J. (2001). The effect of hypermedia

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Sources of Self-Efficacy in Undergraduate Engineering

Conference Session: Self-efficacy and Emotion: ERM Roundtable
Collection: 2015 ASEE Annual Conference & Exposition
Authors: Ellen L Usher, University of Kentucky; Natasha Aniceto Mamaril, University of Illinois ; Caihong Li, University of Kentucky; David Ross Economy, Clemson University Department of Materials Science and Engineering; Marian S. Kennedy, Clemson University
Tagged Divisions: Educational Research and Methods

, coping strategies, and academic performance: An evaluation of theoretical models. The Journal of Experimental Education, 80, 196–218. doi:10.1080/00220973.2011.596853 4 Hackett, G., Betz, N. E., Casas, J. M., and Rocha-Singh, I. A. (1992). Gender, ethnicity, and social cognitive factors predicting the academic achievement of students in engineering. Journal of Counseling Psychology, 39(4), 527–538. 5 Jones, B. D., Paretti, M. C., Hein, S. F., & Knott, T. W. (2010). An analysis of motivation constructs with first- year engineering students: Relationships among expectancies, values, achievement, and career plans. Journal of Engineering Education, 99, 319–336. doi: 10.1002/j

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Exploring Engineering Faculty's Use of Active-learning Strategies in Their Teaching

Conference Session: Faculty Perspectives of Active Learning, Inequity, and Curricular Change
Collection: 2021 ASEE Virtual Annual Conference Content Access
Authors: Aliye Karabulut-Ilgu, Iowa State University; Dana AlZoubi, Iowa State University; Evrim Baran, Iowa State University
Tagged Divisions: Educational Research and Methods

professor 21% 19% 21% 6% 15% 2% 6%*Missing dataResultsThe analysis of the quantitative and qualitative data is presented in three categories based on the researchquestions listed in the previous section: (a) perspectives on active learning, (b) knowledge and use ofactive learning, and (c) frequency of active learning implementation.Perspectives on Active LearningUnderstanding faculty members’ beliefs and perspectives on active learning would help explain thereasons behind their use or rejection of active learning. Four items in the survey specifically asked facultymembers’ perspectives on the contribution of active learning to student learning (Figure 1). A

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WIP: Exploration of Conceptions and Attitudes of Colombian and American Chemical Engineers about Chemical Engineering

Conference Session: Works in Progress II
Collection: 2018 ASEE Annual Conference & Exposition
Authors: Cristián Eduardo Vargas Ordóñez, Universidad de los Andes; Mariana Tafur-Arciniegas P.E., Universidad de los Andes
Tagged Topics: Diversity
Tagged Divisions: Educational Research and Methods

phase.Collection and analysisThe development of each research moment is influenced by the methodological decisions(sequential explanatory design) and theoretical decisions previously described [13]. For thepresent WIP, the methodological explanation is related to quantitative, qualitative, and mixingphases. 1. Quantitative phase a. Selection of the participants: Sample of convenience [17] by snowball beginning with some chemical engineers from undergraduate and graduate chemical engineer’s virtual social networks who want to answer and reference the survey by online (quantitative). b. Collection of information: Through a validated survey by an expert review and a pilot test of the instrument [18] containing closed multiple choice questions