Conference Session

Student Success II: Self-Regulatory, Metacognitive, and Professional Skills

Collection

2016 ASEE Annual Conference & Exposition

Authors

John Chen, California Polytechnic State University - San Luis Obispo

Tagged Divisions

Educational Research and Methods

for their efficacy and ease of adoption. Ease ofadoption refers to the subjective measures of (a) ease of implementation, (b) minimaldisplacement of class time, and (c) no requirement for a change in pedagogy. The two toolspromote metacognition, which has an extensive evidence base for promoting learning in a widerange of subjects and across grade levels. The first tool tested is the exam wrapper.Examinations or tests provide a measure of student performance and offer feedback to studentsof their learning and the need to perhaps adjust their learning strategies. Many students,however, focus on the grade rather than the comments or corrections. Even when students makethe effort to look at the mistakes, they often miss the opportunity to

Conference Session

Works in Progress: Facilitating Student Success and Inclusion

Collection

2016 ASEE Annual Conference & Exposition

Authors

Lizabeth T. Schlemer, California Polytechnic State University, San Luis Obispo; Linda Vanasupa, California Polytechnic State University, San Luis Obispo

Tagged Divisions

Educational Research and Methods

“extension learning.” Students can tap into their passions and seek tounderstand something of interest to them. If they want a “B” they do one “extension learning” ifthey want an “A” they do two. This increases the relevance of the material.We also give students several options for predefined projects so that they can understand theexpectations. There are students who have a very difficult time with the freedom and, therefore,appreciated a more typical predefined project. The large majority of students work on a projectof their interest. Table 2 has an example list of reports done in some of the courses.Table 2: project examples:Course Project DescriptionQuality Engineering The application of electronic signatures for FDA

Conference Session

Self-efficacy and Emotion: ERM Roundtable

Collection

2015 ASEE Annual Conference & Exposition

Authors

Jenefer Husman, Arizona State University; Katherine C Cheng, Arizona State University; Krista Puruhito, Arizona State University; Evan J Fishman, Stanford University

Tagged Divisions

Educational Research and Methods

control over achievement activities and outcomes and (b)the subjective values of these tasks, activities and outcomes. For example, in terms ofsubjective control, students who feel more in control of the class materials may experiencemore positive emotions in learning. Previous research has also shown that college students’beliefs about their inability to control learning or how well they do in class predicted shamereactions to test feedback. 22 In terms of subjective task value, students who place more valuein mastering a particular class may be more emotionally charged for the class activities andoutcomes. 16, 21 Future Time Perspective Theory (FTPT). In motivational research, Future TimePerspective (FTP), which is described as humans

Conference Session

ERM Poster Session

Collection

2009 Annual Conference & Exposition

Authors

Nadia Kellam, University of Georgia; Joachim Walther, The University of Georgia; Ashley Babcock, University of Georgia

Tagged Divisions

Educational Research and Methods

at a higher education institution, this certainly holds true as teachers interact with students via learning activities such as courses, tutorials, assessment, and other feedback mechanisms. Beyond the teacher/student interaction, students communicate with other students or academic staff on various occasions and in a number of different ways. b) Non-Linear Interaction The interaction of elements of complex systems is generally non-linear. This means that small influences can have large effects in the system and conversely, that large influences can have small effects. In the educational context, this can be verified for example by looking at the process of formal teaching: Generally the same

Conference Session

ERM Technical Session 24: Studies on Socioeconomic Status

Collection

2019 ASEE Annual Conference & Exposition

Authors

Andrew Danowitz, California Polytechnic State University, San Luis Obispo; Paul Hummel, California Polytechnic State University, San Luis Obispo; Bridget Benson, California Polytechnic State University, San Luis Obispo; Joseph Callenes, California Polytechnic State University, San Luis Obispo

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

. Mullainathan, E. Shafir, and J. Zhao, “Poverty impedes cognitive function,” Science, vol. 341, no. 6149, pp. 976–980, 2013. [Online]. Available: http://science.sciencemag.org/content/341/6149/976 [9] M. Lacour and L. D. Tissington, “The effects of poverty on academic achievement,” Educational Research and Reviews, vol. 6, no. 7, pp. 522–527, 2011.[10] R. Likert, “A technique for the measurement of attitudes.” Archives of psychology, 1932.[11] J. Callenes-Sloan, P. Hummel, A. Danowitz, and B. Benson, “Exploring the relevance and energy usage implications of fixed computer labs in electrical engineering education,” in 2018 IEEE Frontiers in Education Conference (FIE), Oct 2018, pp. 1–7.

Conference Session

Assessing Hard-to-Measure Constructs in Engineering Education: Assessment Design and Validation Studies

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Daiki Hiramori, University of Washington; Emily Knaphus-Soran, University of Washington; Elizabeth Litzler, University of Washington

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

analyses for each sample, setting eight as the number of factorsto retain. There is no standard threshold for statistically determining the composition of factors.Based on what made sense conceptually, we used a threshold of the factor loadings greater than.40 to assess the suitability of the items. Below, we indicate the eight latent factors (CCWdimensions) we identified and the survey items and associated factor loadings that constituteeach dimension: ● All students 1. Social capital (proportion explained = 0.19) a. I draw on connections with individual faculty to be successful in college (0.62) b. I draw on connections with university staff to be successful in college (0.69) c. I draw on connections with individuals

Conference Session

Understanding Student Behavior and Experiences

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Nancy Nelson, University of Calgary; Robert William Brennan, University of Calgary

Tagged Divisions

Educational Research and Methods

maintain an A-levelgrade point average (GPA). B-level students put less emphasis on a good work ethic, use lesseffective study habits and do not prioritize attending class. C-level students put low priority ondoing the work assigned to them, but do make an effort to study and attend class. This study alsofound that students' priorities are not always aligned with their practices and/or values,particularly as related to work ethic, studying, and doing assigned work. Lower prioritization ofnote taking and attending class means a closer alignment between priorities, practices, andvalues, but does not contribute to overall academic success.IntroductionPost-secondary institutions take student success seriously. Learners are supported throughouttheir

Conference Session

Works in Progress: Learning and Engagement

Collection

2016 ASEE Annual Conference & Exposition

Authors

Robert Semmens, Stanford University

Tagged Divisions

Educational Research and Methods

determine theshortest route between two of the towns, because a sales team needed to visit a customer. Theydid this twice, using two lists of towns that had the same underlying structure of connections anddistances, but with different town names. For both the experimental and baseline conditions, participants were presented with aconstruction scheduling task for constructing a building (see Appendix B for the materials used).In this construction scheduling task, participants were given a single sheet of paper containing amatrix of tasks, which included the duration for each task as well as the tasks that needed to becompleted first (precedent tasks). Intentionally, the matrix only used about a quarter of the pageto leave room for the

Conference Session

Cognitive Skills Development

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Hannah Smith, Queen's University; Brian M. Frank, Queen's University

Tagged Divisions

Educational Research and Methods

overviewThe Essential Adult Skills Initiative (EASI) was a large-scale research project undertaken by theHigher Education Quality Council of Ontario (HEQCO) and 20 postsecondary partners in 2017-2018. EASI was designed to measure the numeracy, literacy, and problem-solving skills ofincoming and graduating college and university students in Ontario.The central research goals of the larger project were: a) to determine the suitability of theEducation and Skills Online (ESO) assessment to measure post-secondary students’ literacy,numeracy, and problem-solving; b) to determine observable differences between incoming andgraduating students’ skillsets, and; c) to identify practical implications of implementing such aproject in post-secondary

Conference Session

Educational Research and Methods Division Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Joseph C. Tise, The Leonhard Center; Sarah E. Zappe, Pennsylvania State University, University Park; Esther W. Gomez, Pennsylvania State University, University Park; Manish Kumar, Pennsylvania State University; Rachel Miriam Vriend Croninger, Pennsylvania State University; Stephanie Cutler, Pennsylvania State University, University Park

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Diversity

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Educational Research and Methods

Grant Nos. 1762436 and1762444. The contents, opinions, and recommendations expressed are those of the authors anddo not represent the views of the National Science Foundation.ReferencesAlexander, B. B., Foertsch, J., & Daffinrud, S. (1998). The spend a summer with a scientist program: An evaluation of program outcomes and the essential elements for success. Madison, WI: Citeseer.Chaplin, S. B., Manske, J. M., & Cruise, J. L. (1998). Introducing freshmen to investigative research--a course for biology majors at Minnesota’s University of St. Thomas: How" investigative labs" change the student from passive direction-follower to analytically critical thinker. Journal of College Science Teaching.Cleary, T. J. (2011). Emergence

Conference Session

K-12 Students and Teachers

Collection

2011 ASEE Annual Conference & Exposition

Authors

Tirupalavanam G. Ganesh, Arizona State University

Tagged Divisions

Educational Research and Methods

AC 2011-2655: ANALYZING SUBJECT-PRODUCED DRAWINGS: THEUSE OF THE DRAW AN ENGINEER ASSESSMENT IN CONTEXTTirupalavanam G. Ganesh, Arizona State University Tirupalavanam G. Ganesh is Assistant Professor of Engineering Education at Arizona State University’s Ira A. Fulton Schools of Engineering. He has bachelors and masters degrees in Computer Science and Engineering and a PhD in Curriculum and Instruction. His research interests include educational research methods, communication of research, and k-16+ engineering education. Ganesh’s research is largely focused on studying k-12 curricula, and teaching-learning processes in both the formal and informal settings. He is principal investigator of the Information Technology

Conference Session

Undergraduate Students' Professional Skills and Reflection

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Abolfazl Amin, Utah Valley University; Abdennour C. Seibi, Utah Valley University; Israd Hakim Jaafar, Utah Valley University

Tagged Divisions

Educational Research and Methods

Writing Enriched requirements.Assignment High- Low- Revision Disciplinary Stakes Stakes Writing Table 1. List of course assginments showing how they meet WE requirements.10. Disciplinary Writing: Programs must provide a brief explanation for what disciplinary writing tends to look like in their field. This explanation can be used in course certification application. The following questions should be considered while completing the application: a) What genres of writing are common practice in the discipline? (Examples: memos; case notes; grants; field study write-ups; etc.) b) Who generates writing in the discipline

Conference Session

Assessment of Student Work

Collection

2017 ASEE Annual Conference & Exposition

Authors

James H. Allen III, University of Evansville; Jared Fulcher, University of Evansville; Suresh Immanuel Selvaraj, University of Evansville

Tagged Divisions

Educational Research and Methods

in the Department of Mechanical and Civil Engineeringat the University of Evansville have undertaken a similar, multi-year study, in an attempt tofurther quantify and support the findings of these studies.Method and Study ParametersData from three different courses in the Mechanical and Civil Engineering curriculum werecollected for this study. Table 1 contains information regarding the study parameters and thethree instructors (listed as A, B, C) associated with each course included in this semester. Foreach of the courses in this study, there are typically 3-4 exams each semester, approximately 20-25 homework assignments and 8-10 quizzes. Average enrollment for ENGR prefix classes isapproximately 20 students per section. For CE prefix

Conference Session

Student Misconceptions and Problem Solving Abiltiy

Collection

2006 Annual Conference & Exposition

Authors

Ronald Miller, Colorado School of Mines; Ruth Streveler, Colorado School of Mines; Barbara Olds, National Science Foundation and Colorado School of Mines; Michelene Chi, University of Pittsburgh; Mary Nelson, University of Colorado; Monica Geist, University of Northern Colorado

Tagged Divisions

Educational Research and Methods

believe that carpet and tileare at different temperatures because of differences in the rate of convective heat transferoff the two surfaces rather than considering the amount of energy transferred into tile orcarpet from a bare human foot. These results were our first indication of the “rate vs.amount” misconception in students who beta-tested the TTCI instrument. Table I – Cross-Tabulation of Student Responses to MeltIce1, MeltIce2 and Carpet Questions1 Carpet responses Total a b c (correct) d MeltIce 1 responses a

Conference Session

Motivation

Collection

2017 ASEE Annual Conference & Exposition

Authors

Andrew Jackson, Purdue Polytechnic Institute; Nathan Mentzer, Purdue University, West Lafayette (College of Engineering); Jiawei Zhang, Purdue University, West Lafayette (College of Engineering); Rebecca Kramer, Purdue University, West Lafayette (College of Engineering)

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

. (2006). The research agenda for the new discipline of engineering education. Journal of Engineering Education, 95(4), 259-261. doi: 10.1002/j.2168-9830.2006.tb00900.x2. Marra, R. M., Rodgers, K. A., Shen, D., & Bogue, B. (2009). Women engineering students and self-efficacy: A multi-year, multi-institution study of women engineering student self-efficacy. Journal of Engineering Education, 98(1), 27-38.3. Munce, R., & Fraser, E. (2013). Where are the STEM students? Retrieved October 7, 2014, from http://www.stemconnector.org4. Sadler, P. M., Sonnert, G., Hazari, Z., & Tai, R. (2012). Stability and volatility of STEM career interest in high school: A gender study. Science Education, 96(3), 411-427

Conference Session

Sense of Belonging and Diversity in Engineering Programs, Courses, and Teams

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Carmen M. Lilley, University of Illinois at Chicago

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

this researchillustrates, there are still several nuances that need to be explored to understand howintersectionality influence the professional development experiences in organizational leadershipfor engineering students.AcknowledgementFunding for this project was provided by the National Science Foundation under grant EEC-ENG 1738132. The views expressed in this work are those of the author and do not necessarilyrepresent those of the National Science Foundation.References[1] D. B. Knight and B. J. Novoselich, "Curricular and Co-curricular Influences on Undergraduate Engineering Student Leadership," Journal of Engineering Education, vol. 106, no. 1, pp. 44-70, 2017, doi: 10.1002/jee.20153.[2] G. N. Powell and D. A

Conference Session

Problem Solving and Misconceptions

Collection

2008 Annual Conference & Exposition

Authors

Gerard Rowe, University of Auckland; Chris Smaill, University of Auckland

Tagged Divisions

Educational Research and Methods

. 4. Mazur, E. (1992) Qualitative versus quantitative thinking: are we teaching the right thing? Optics and Photonics News, 3,pp 38-39. 5. Hake, R.R. (1998). Interactive-engagement vs traditional methods: a six-thousand-student survey of mechanics test data for introductory physics courses. American Journal of Physics, 66, pp 64-74. 6. Strevler, R., Miller, R., Reed-Rhoads, T. & Allen, K. (2007) Best Practices in the Design and Use of Concept Inventories. Workshop presented at 2007 ASEE Annual Conference, Honolulu, Hawaii. 7. Notaros, B. M. (2002). Concept inventory assessment instruments for electromagnetics education. Proceedings of the IEEE Antennas and Propagation Society International

Conference Session

Student Attitudes and Perceptions

Collection

2009 Annual Conference & Exposition

Authors

Johannes Strobel, Purdue University; Inez Hua, Purdue University; Jun Fang, Purdue University; Constance Harris, Purdue University; Lindsey Tracy, Purdue University

Tagged Divisions

Educational Research and Methods

(key concepts or gate keeper concepts) of beginning engineering studentstowards the relationship between environment/ecology and engineering specifically towardschoosing: either (a) engineering as a career to make an environmental impact or (b) choosingenvironmental and ecological engineering as a specific engineering profession. The project issituated in the context of life cycle analysis and the environmental impacts of design,manufacturing, use and disposal of products. The study employs also an innovative researchdesign: The researchers investigate students’ conceptions and attitudes (and change of both) byasking students to co-design an educational game with them – through a series of workshops. Ofparticular focus will be the change of

Conference Session

Student Approaches to Problem Solving

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Jessica E. S. Swenson, University at Buffalo; Aaron W. Johnson, University of Colorado Boulder; Mary Rola, University at Buffalo; Hoda Koushyar

Tagged Divisions

Educational Research and Methods

make two important assumptions on their own about the structure of the iWalk2.0: 1. The type of connection the device makes with the ground at point A “which best describes the real scenario” (text from the assignment). 2. The type of connection at point B, either a smooth pin or a welded joint.In order to solve the OEMP, students were implicitly required to make two additionalassumptions about the weight of the 125 kg person using the iWalk2.0, and one additionalassumption about the weight of the iWalk2.0 members: 3. The amount of the person’s weight that loaded on the iWalk2.0. 4. The location where this weight acted on the iWalk2.0, and if the weight was discretized as a point force, multiple point forces, or a

Conference Session

They're Not "Soft" Skills!

Collection

2011 ASEE Annual Conference & Exposition

Authors

Eckehard Doerry, Northern Arizona University; James Dean Palmer, Northern Arizona University

Tagged Divisions

Educational Research and Methods

concludes. Thisnot only erodes the integrity of evaluation within an academic program, but also has seriousconsequences for the team as well: experience shows that simply having to cope with a non-performing team member can actually result in more stress and effort for the team than if thatteam member were not present at all. Ultimately, nothing erodes team morale faster thanworking overtime to make up for a poorly performing teammate, only to receive exactly thesame evaluation. Thus, development of reliable mechanisms for (a) quickly detecting anddealing with internal team problems, and (b) adjusting individual credit given for team productsbased on actual effort invested by each individual is crucial in any team project context

Conference Session

Modeling Student Data

Collection

2009 Annual Conference & Exposition

Authors

Gillian Nicholls, University of Pittsburgh; Harvey Wolfe, University of Pittsburgh; Mary Besterfield-Sacre, University of Pittsburgh; Larry Shuman, University of Pittsburgh

Tagged Divisions

Educational Research and Methods

AC 2009-2218: PREDICTING POST-SECONDARY EDUCATIONAL OUTCOMESWITH SURVIVAL ANALYSISGillian Nicholls, University of Pittsburgh Gillian Nicholls is a Lecturer in Industrial Engineering at the University of Pittsburgh. Her research interests are in applying statistical analysis and optimization to engineering education and transportation management. She holds the B.S. in Industrial Engineering (Lehigh University), Masters in Business Administration (Penn State University), and M.S. in Industrial Engineering and Ph.D. in Industrial Engineering(University of Pittsburgh.) Address: 1048 Benedum Hall, University of Pittsburgh, Pittsburgh, PA 15261; telephone 412.400.8631; fax: 412.624.9831

Conference Session

Examining Social Ties and Networks

Collection

2015 ASEE Annual Conference & Exposition

Authors

Patricia Kristine Sheridan, University of Toronto; Penny Kinnear, University of Toronto; Greg Evans, University of Toronto; Doug Reeve, University of Toronto

Tagged Divisions

Educational Research and Methods

for Team 1 and Appendix C for Team 2. Images of the team’s configuration, gestures, andvisual elements at specific intervals during the analyzed interactions are presentedchronologically in Appendix B for Team 1, and Appendix D for Team 2. Select sections of thetranscripts and select figures are repeated in the analysis below; figures whose captions beginwith the letters C or D can be found in Appendix C or Appendix D respectively.5.1.1. Team 1 - an example of not togetheringOur analysis of Team 1 left us with the image of multiple solitudes. Although the team membersfreely raised issues, stated ideas and opinions, and individually seemed to try to be productive,their discussions rarely produced a decision or created any kind of shared

Conference Session

Predicting Student Success

Collection

2017 ASEE Annual Conference & Exposition

Authors

Kristin L. K. Koskey, University of Akron; Nicholas G. Garafolo, University of Akron; Nidaa Makki, University of Akron ; Wondimu Ahmed, University of Akron; Donald P. Visco Jr., University of Akron; Uday Samreddy

Tagged Divisions

Educational Research and Methods

reported in Appendix B including the infit and outfit mean square(MNSQ) and standardized (ZSTD) indices indicating the fit of the data to the Rasch model. TheMNSQ is the transformed residuals representing the difference between the observed andpredicted with an expected MNSQ value of 116.Item difficulty level ranged from –1.18 to 0.96, indicating additional items at a higher difficultylevel such as the essay design problem items are needed, as one of the purposes is to assessstudent growth from lower to higher-level understanding. Item separation was 4.94, yieldingsufficient separation of more than four1 distinct groups of items along the measure. The itemseparation reliability of 0.96 indicated the ordering of items along the continuum would

Conference Session

Understanding Our Students II

Collection

2012 ASEE Annual Conference & Exposition

Authors

Michele L. Strutz, Purdue University, West Lafayette; Matthew W. Ohland, Purdue University, West Lafayette

Tagged Divisions

Educational Research and Methods

, really? Why is that?” “Because you’re good at math and science, and that’s a field of study that would utilize those math and science skills”. ~StephenDiane shared some of her conversations with her grandfather about her dreams of wanting tostudy Nuclear Engineering. She stated that he had an Aeronautical Engineering degree. I sat down with my grandpa and we’re talking about what I want to be. And he graduated from [University B] with an aeronautical degree in engineering. … He actually helped work on one of the first planes to reach Mach speed. And telling me about that, how his work was secret, it was oh so interesting. ~DianeDiscussion and ConclusionWhereas the literature indicates that low-SES first

Conference Session

Student Teams, Groups, and Collaborations

Collection

2016 ASEE Annual Conference & Exposition

Authors

Lori C. Bland, George Mason University; Stephanie Marie Kusano, University of Michigan; Aditya Johri, George Mason University

Tagged Divisions

Educational Research and Methods

Commission (EAC). (2016). Proposed revisions to criteria for accrediting engineering programs definitions, general criterion 3 student outcomes, and general criterion 5 curriculum. Retrieved from: http://www.abet.org/wp- content/uploads/2015/11/Proposed-Revisions-to-EAC-Criteria-3-and-5.pdfAmerican Association of Engineering Societies (2015. May). Engineering competency model. Washington, DC: U.S. Department of Labor. Retrieved from http://www.aaes.org/sites/default/files/Engineering%20Competency%20Model_Final _May2015.pdfAsunda, P. A., & Hill, R. B. (2007). Critical features of engineering design in technology education. Journal of Industrial Teacher Education, 44, 25-48.Atadero, R. A., Rambo

Conference Session

Faculty Development II

Collection

2015 ASEE Annual Conference & Exposition

Authors

Louis Nadelson, Utah State University; Kimberly Kristine Hardy, Boise State University; Dazhi Yang, Boise State University

Tagged Divisions

Educational Research and Methods

' regulation of motivation. Journal of Educational Psychology, 90(2), 224-235.[10] Zimmerman, B. J. (2008). Investigating self-regulation and motivation: Historical background, methodological developments, and future prospects. American Educational Research Journal, 45(1), 166-183.[11] Zumbrunn, S., Tadlock, J., & Roberts, E. D. (2011). Encouraging self-regulated learning in the classroom: A review of the literature. Metropolitan Educational Research Consortium (MERC).[12] Wolters, C. A., Yu, S. L., & Pintrich, P. R. (1996). The relation between goal orientation and students' motivational beliefs and self-regulated learning. Learning and Individual Differences, 8(3), 211-238.[13] Pintrich, P. R. (2000). An achievement goal

Conference Session

Motivation, Goal Orientation, Identity, and Career Aspirations

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Ellen Zerbe, Pennsylvania State University; Catherine G. P. Berdanier, Pennsylvania State University; Kyeonghun Jwa, Pennsylvania State University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

to protect the identity of the participants. Table 2: Distribution of participants and school type for the four small colleges School Type Size Number of student participants "College A" Predominantly 2,000-2,500 8 Non-Engineering students enrolled (1 nonbinary, 3 (PNE) women, 4 men) "College B" Balanced/Religious 2,000-2,500 9

Conference Session

Understanding Students and Faculty

Collection

2011 ASEE Annual Conference & Exposition

Authors

Shane Brown, Washington State University; Dean Lewis, Washington State University; Devlin Montfort, Washington State University; Robby L. Borden, Washington State University

Tagged Divisions

Educational Research and Methods

;'* 8"',*9* ! "#$%&!'()$%!*+!,!-&*.$/0)1!)$,2(2!'(,0!%*3#!,!4)$+(!-5!$.!3#(!4-3!0,2(!,3!4/$++!+(43*$&!6768! !Figure 3. Simply supported uniformly loaded beam with a cut and cross-section representation 9/$0!3#(!:/$++!"(43*$&!676!+#$%&!,'$;(!/,&#!?=!./$0!)(,+3!3$!>/(,3(+3!',+(2!$&!provided 3#(!0,>&*3-2(!$.!&$/0,)!+3/(++@!A#,3!*+!1$-/!/(,+$&*&>!.$/!1$-/!/,&+B!! !Interview MethodologyEach interview followed an overall outline of the questions shown in Table 1 that were asked of !every student, but each interview was also conducted uniquely depending on the

Conference Session

Teaching Assistants, Supplemental Instruction, and Classroom Support

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Barukh Ben Rohde, University of Florida; Elliot P. Douglas, University of Florida

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

participants to accomplish the agents’ desired goals. In today’sfunding world, paid graduate teaching assistants are becoming less viable. Instead, faculty mustmotivate undergraduates to be the active teaching assistants that are needed to run a successfulflipped classroom [1]. By improving undergraduate TAs’ competence, supporting theirautonomy, building environments that allow for interpersonal relationships to flourish,relatedness, socialization, and positive outcomes, faculty can motivate their TAs to improve theircourses. Our long-term goal is for faculty to use this work to make their teaching assistantshipprograms more rewarding for their undergraduates serving as TAs.References[1] Van Veen, B. (2013). Flipping signal-processing instruction [sp

Conference Session

Problem Solving and Misconceptions

Collection

2008 Annual Conference & Exposition

Authors

Matthew Verleger, Purdue University; Heidi Diefes-Dux, Purdue University

Tagged Divisions

Educational Research and Methods

version of the first draft instructionsof the Nano Roughness MEA is shown in Table 2. The complete version can be found in(Zawojeski, Diefes-Dux, and Bowman, in review). Prior to the lab, students were given a pre-reading activity about Atomic Force Microscopes (AFM) and the images they produce. In thelab setting, students were given AFM images of gold samples (Sample B is shown below inFigure 2) to create and test their procedures for quantifying roughness. Table 2 – Nano Roughness MEAAbbreviated Problem StatementInteroffice Memo: Liguore LabsTo: Nanosurface Engineering TeamFrom: Kerry Prior, Vice President of ResearchRE: Surface RoughnessLiguore Labs is very