Conference Session

Pre-College Engineering Education Division Poster Session

Collection

2022 ASEE Annual Conference & Exposition

Authors

Dina Verdin, Arizona State University, Polytechnic Campus; Seline Szkupinski Quiroga

on students’ choice of pursuing aSTEM career (Chan et al., 2020; Kong et al., 2014; Maltese & Tai, 2010); however, our studyfound that Latinx students were not engaged in out-of-school activities during middle school. In-and-out of class learning experiences during middle school and high school have also been foundto impact students’ decision to pursue a STEM major [17]–[24]. Yet, studies have found that Latinx students are less likely than other groups to participatein out-of-school activities or school-based extracurricular activities [25]–[29]. Chan et al.’s [28]study, which used the High School Longitudinal Study: 2009 dataset, reported that Latinx studentsfrom high and low socioeconomic status were less likely than their

Conference Session

DEED Technical Session 11 Empathy and Human-Centered Design 2

Collection

2022 ASEE Annual Conference & Exposition

Authors

Saadeddine Shehab, University of Illinois at Urbana - Champaign; Sneha Subramanian; Jake Fava, University of Illinois at Urbana - Champaign; Christopher Schmitz, University of Illinois at Urbana - Champaign

Teaching International, vol. 54, no. 4, pp. 374–385, Jul. 2017, doi: 10.1080/14703297.2015.1108214.[5] A. Pagano, S. Shehab, and L. Liebenberg, “WIP: Introducing Students to Human-Centered Design in a Design for Manufacturability Course,” in 2020 ASEE Virtual Conference, 2020, p. 12.[6] “EAC-Criteria-2020-2021.pdf.”[7] R. Buchanan, “Wicked Problems in Design Thinking,” Design Issues, vol. 8, no. 2, pp. 5– 21, 1992.[8] M. Meinel, T. T. Eismann, C. V. Baccarella, S. K. Fixson, and K.-I. Voigt, “Does applying design thinking result in better new product concepts than a traditional innovation approach? An experimental comparison study,” European Management Journal, p. S0263237320300232, Feb. 2020, doi: 10.1016/j.emj

Conference Session

NSF Grantees Poster Session

Collection

2022 ASEE Annual Conference & Exposition

Authors

Valerie Carr, San Jose State University; Belle Wei, San Jose State University; Maureen Smith

Undergraduate STEMEducation (IUSE) program. References[1] Workforce Singapore. “5 digital skills needed in 2021”. https://content.mycareersfuture.gov.sg/top-5-digital-skills-need-2021/[2] M. Muro, S. Liu, J. Whiton, and S. Kulkarni. “Digitalization and the American workforce”. Washington, DC: Metropolitan Policy Programs at Brookings, 2017.[3] Data USA. “Computer science. STEM Major”. Deloitte, DataWheel. https://datausa.io/profile/cip/computer-science-110701[4] S. Smith, E. Taylor-Smith, L. Bacon, and L. Mackinnon, L. “Equality of opportunity for work experience? Computing students at two UK universities ‘play the game’”. British Journal of Sociology of Education, vol

Conference Session

Broadening Participation and Inclusion in STEM: Equity, Culture & Social Justice in Education Division Technical Session 8

Collection

2022 ASEE Annual Conference & Exposition

Authors

Cecilé Sadler, Massachusetts Institute of Technology; Shaundra Daily, Duke University; Alicia Washington, Duke University

,” “be open tobeing challenged on your ideas and expectations,” and “no gas lighting” [25]. Prior to each PDsession, participants were required to complete a pre-work assignment, which included a smallcollection of videos and podcast episodes related to the upcoming session topic.Each 2-hour session included guest speaker(s) in the first hour who were experts on the sessiontopics (e.g., Dr. Ruha Benjamin, Dr. Safiya Noble, and Dr. Ebony McGee). The second hour wasdedicated to breakout and larger group discussions that built upon the pre-work and guestspeaker(s) in the context of personal/professional experiences. The first six PD sessions focusedon participants understanding their positionality in the context of the session topics

Conference Session

Mechanical Engineering: Thermodynamics

Collection

2022 ASEE Annual Conference & Exposition

Authors

Sheldon Jeter, Georgia Institute of Technology

outSimilarly in the entropy equation, begin with the entropy defined with respect to a conventionalreference  dSCV d  m s CV Q    si m i,in   se m e,exit   k ,in  Sgen (9) dt dt i,in e, exit k TkNote that temperatures in the entropy equation above may apply to a simplistic one-dimensionalheat transfer or a more realistic effective temperature. Then replace the conventional entropywith the entropy written with respect to the Fixed Dead State (FDS) at ambient temperature andpressure

Conference Session

Engineering Design Graphics Division Technical Session 1: Spatial Visualization

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Melissa C. Richards, Clarkson University; Norma L. Veurink, Michigan Technological University; Sheryl A. Sorby, University of Cincinnati

Tagged Topics

Diversity

Tagged Divisions

Engineering Design Graphics

, quizzes (fixed-choice questions from the original workbook), and the software should be madeavailable to students on the university LMS.References[1] I. M. Smith, Spatial ability: its educational and social significance. San Diego, Calif.: R.R. Knapp, 1964.[2] D. L. Shea, D. Lubinski, and C. P. Benbow, “Importance of assessing spatial ability in intellectually talented young adolescents: A 20-year longitudinal study,” Journal of Educational Psychology, vol. 93, no. 3, pp. 604–614, 2001.[3] M. Kozhevnikov, M. A. Motes, and M. Hegarty, “Spatial Visualization in Physics Problem Solving,” Cognitive Science, vol. 31, no. 4, pp. 549–579, 2007, doi: https://doi.org/10.1080/15326900701399897.[4] S. Y. Yoon and E. L. Mann, “Exploring

Conference Session

ENT Division Technical Session: Assessment Tools and Practices

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

William J. Schell IV P.E., Montana State University; Agnieszka Kwapisz, Montana State University ; Kregg Aytes, Montana State University; Scott E. Bryant, Montana State University; Brock J. LaMeres, Montana State University; Elizabeth B. Varnes, Montana State University

Tagged Divisions

Entrepreneurship & Engineering Innovation

-publications/publications/The-Green-Report.pdf[3] American Society for Engineering Education, "Transforming Undergraduate Education in Engineering: Phase I: Synthesizing and Integrating Industry Perspectives - Workshop Report," National Science Foundation, Washington, DC, 2013.[4] L. J. Shuman, M. Besterfield-Sacre, and J. McGourty, "The ABET "Professional Skills" - Can They Be Taught? Can They Be Assessed?," Journal of Engineering Education, vol. 94, no. 1, pp. 41-55, 2005.[5] L. Deslauriers, L. S. McCarty, K. Miller, K. Callaghan, and G. Kestin, "Measuring actual learning versus feeling of learning in response to being actively engaged in the classroom," Proceedings of the National Academy of Sciences

Conference Session

Enhancing Recruitment and Retention in Engineering Education

Collection

2009 Annual Conference & Exposition

Authors

Eugene Brown, Virginia Tech; Robert McGahern, DDR&E; Robert Stiegler, NSWC-DD

Tagged Divisions

K-12 & Pre-College Engineering

government beginning in the 1960s and secured the technologicalsuperiority of the United States during the latter part of the 20th century.America was once again shocked into reassessing the adequacy of our future science andengineering (S&E) workforce after the September 11, 2001 terrorist attacks. That self-examination, and the need to put more people to work on technical solutions to the problems ofterrorism, war, and national security, led Congress to authorize the Department of Defense tocreate the SMART (Science, Mathematics, and Research for Transformation) pilot programunder the Ronald W. Reagan National Defense Authorization Act (NDAA) for Fiscal Year 2005.The immediate positive response to the SMART program prompted Congress to make

Conference Session

Aerospace Hot Topic: Unmanned Aerial Systems

Collection

2017 ASEE Annual Conference & Exposition

Authors

Subodh Bhandari, California State Polytechnic University, Pomona

Tagged Topics

Diversity

Tagged Divisions

Aerospace

with the search quadcopter. The sensors and technologies used on the rescuequadcopter are similar to that of the search quadcopter. The main difference was that an electropermanent magnet is utilized in this system to hold and release the rescue package to be deliveredto the survivor (s).Figure 10 shows the collision avoidance system being tested for the search quadcopter. The firstflight test was conducted by hovering the quadcopter roughly 3 feet above the ground andactivating the altitude hold flight mode. The copter was then slowly pitched forward towards awall until the safety zone was breached and the Arduino took over the pitch control.The students presented their work both at student conferences and a professional conference.20

Conference Session

Evidence-based Practices in Faculty Development

Collection

2018 ASEE Annual Conference & Exposition

Authors

Katie Cadwell, Syracuse University; Michelle M. Blum, Syracuse University; Julie M. Hasenwinkel, Syracuse University; Carol Elizabeth Stokes-Cawley, Syracuse University

Tagged Topics

Faculty Development Constituency Committee

) Revisions Introduction to Engineering Course Teaching EnvE (F), U (F) Active Learning Fall 20172 & Computer Science Revisions Chemical Engineering Course Pre-Tenure ChE (S) Active Learning Fall 2017 Thermodynamics II Component AE (J), BE (S), Electrical Engineering

Conference Session

NSF Grantees Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Susan M. Lord, University of San Diego; Catherine Mobley, Clemson University; Catherine E. Brawner, Research Triangle Educational Consultants; Joyce B. Main, Purdue University, West Lafayette (College of Engineering); Michelle M. Camacho, University of San Diego

Tagged Topics

Diversity, NSF Grantees Poster Session

National Center for Women in Information Tech- nology (NCWIT) and, in that role, advises computer science and engineering departments on diversifying their undergraduate student population. She remains an active researcher, including studying academic policies, gender and ethnicity issues, transfers, and matriculation models with MIDFIELD as well as student veterans in engineering. Her evaluation work includes evaluating teamwork models, statewide pre-college math initiatives, teacher and faculty professional development programs, and S-STEM pro- grams.Dr. Joyce B. Main, Purdue University, West Lafayette (College of Engineering) Joyce B. Main is Assistant Professor of Engineering Education at Purdue University. She

Conference Session

NSF Grantees Poster Session I

Collection

2016 ASEE Annual Conference & Exposition

Authors

Ravi P. Ramachandran, Rowan University; Steven H Chin, Rowan University; Kevin D. Dahm, Rowan University; Liang Hong, Tennessee State University; Sachin Shetty, Tennessee State University; Robert M Nickel, Bucknell University; Richard J. Kozick, Bucknell University; Ying Tang, Rowan University; Robi Polikar, Rowan University

Tagged Topics

Diversity, NSF Grantees Poster Session

on Education, Vol. 48, No. 3, pp. 462–471, August 2005. 3. R. W. Ives, B. L. Bonney and D. M. Etter, “Effect of Image Compression on Iris Recognition”, IEEE Instrumentation and Measurement Technology Conference, Ottawa, Canada, May 17—19, 2005. 4. S. Cotter, “Laboratory Exercises for an Undergraduate Biometric Signal Processing Course”, ASEE Annual Conference and Exposition, Louisville, Kentucky, June 2010. 5. S. Cotter, “Assessing the Impact of a Biometrics Course on Students’ Digital Signal Processing Knowledge”, ASEE Annual Conference and Exposition, Vancouver, Canada, June 2011. 6. S. Cotter and A. Pease, “Incorporating Biometrics Technology into a Sophomore Level

Conference Session

NSF Grantees Poster Session I

Collection

2016 ASEE Annual Conference & Exposition

Authors

Andrea M. Ogilvie P.E., Virginia Tech; David B Knight, Virginia Tech Department of Engineering Education; Maura J. Borrego, University of Texas, Austin; Arturo A Fuentes, University of Texas, Rio Grande Valley; Patricia A. Nava, University of Texas, El Paso; Valarie E. Taylor, Texas A&M University

Tagged Topics

Diversity, NSF Grantees Poster Session

students in Texas. Students accumulate transfer student capital, or knowledge about thetransfer process, at sending institutions (i.e., the place(s) where students begin their degreepaths), receiving institutions (i.e., the final degree-granting institution), and potentially from non-institutional sources. The development of transfer student capital may come from experiencesrelated to learning and study skills, course learning, perceptions of the transfer process, academicadvising and counseling, and experiences with faculty. Upon arriving at the receiving institution,students must adjust to the new environment academically, socially, and psychologically, all ofwhich may influence a variety of educational outcomes. Figure 1

Conference Session

NEE - 3: Improving Homework and Problem-solving Performance

Collection

2019 ASEE Annual Conference & Exposition

Authors

Rebecca Marie Reck, Kettering University

Tagged Divisions

New Engineering Educators

platforms, which extend or compliment the LMS features and allow the instructorto provide their desired feedback. This paper summarizes the features of eight additional toolsthat can be used to expand feedback and assignments in engineering courses.References[1] M. D. Svinicki, and W. J. McKeachie, McKeachie's Teaching Tips: Strategies, Research, and Theory for College and University Teachers: Wadsworth Cengage Learning, 2014.[2] S. Navaee, “Application Of Technology In Engineering Education,” Portland, Oregon, 2005.[3] G. M. Nicholls, W. J. Schell, IV, and N. Lewis, “Best Practices for Using Algorithmic Calculated Questions via a Course Learning Management System,” New Orleans, Louisiana, 2016.[4] A. Jones

Conference Session

Teacher and Counselor Professional Development

Collection

2010 Annual Conference & Exposition

Authors

Beth Spencer, Georgia Institute of Technology; Donna Llewellyn, Georgia Institute of Technology; Marion Usselman, Georgia Institute of Technology

Tagged Divisions

K-12 & Pre-College Engineering

students to matriculate intocollege science and engineering programs, or to enroll in the state‟s technical and communitycolleges. There is a strategic imperative for Georgia Tech to promote teaching as a valued careergoal and to support those STEM majors who wish to pursue a career in teaching in the K 12arena. As part of a new, campus-wide initiative, supported by the NSF, Georgia Tech hasimplemented a series of activities to promote careers in K-12 teaching, and has set up theinfrastructure to track and evaluate these initiatives. This paper will describe the initiativesimplemented so far, the types of road blocks encountered, and the numbers of students enteringteaching from various engineering fields. Our goal is to change the perceptions

Conference Session

Thermodynamics, Fluid Mechanics

Collection

2005 Annual Conference

Authors

B.K. Hodge

  0    :=   ⋅   :=   ⋅ ft  Pb   0  in2  Zb   30  K factor Equivalent length Number of pipes  0.78  K :=   32   C :=   N := length ( D)  1   90  Density in lbm/ft3 Viscosity in lbm/ft-s lb lb ρ := 62.4⋅ µ := 0.000658

Conference Session

Energy Programs and Software Tools

Collection

2004 Annual Conference

Authors

Ahmed Rubaai

100 1,000 10,000 0.1 1 10 M agnetizing Force RM S Ampere Turns Per M eter Watts Per Pound (P) (a) Magnetizing force (b) Core loss Page 9.374.2Fig. 1 Core magnetization curve “Proceedings of the 2004

Collection

2000 Annual Conference

Authors

Rosa Buxeda; Ramon Vazquez Espinosa; Jorge I. Velez; Lueny M. Morell

/ Ramón Vázquez Lueny Morell included in the student package. ÃÃÃÃÃÃÃÃÃÃà UurÃrÃsÃQhT8 S ÃvÃÃvqrà vv Ãvvvà vuÃhà Luis Jiménez UNIV 101 Freshman Course. This course v à ÃivyqÃÃurvÃI6 T6 rqÃrrhpuÃhqÃurvÃvpuÃuvÃsÃrqph Robert Acar

Conference Session

SE Capstone Design Projects, Part II

Collection

2011 ASEE Annual Conference & Exposition

Authors

Steven Corns, Missouri University of Science and Technology; Cihan H. Dagli, Missouri University of Science and Technology; Ivan G. Guardiola, Missouri University of Science and Technology

Tagged Divisions

Multidisciplinary Engineering, Systems Engineering

expertise in modeling architectures for complex engineering systems such as transportation, infrastructure, water resources and energy distribution using computational intelligence techniques He is the founder and Boeing Coordinator of the Missouri S&T’s System Engineering graduate program. Dr. Dagli is the director of Smart Engineering Systems Laboratory and a Senior Investigator in DoD Systems Engineering Research Center-URAC. He is an INCOSE Fellow 2008 and IIE Fellow 2009. He has been the PI, co-PI, or director of 46 research projects and grants totaling over $29 million from federal, state, and industrial funding agencies Dr. Dagli is the Area editor for Intelligent Systems of the International Journal of

Collection

1999 Annual Conference

Authors

Christopher Ibeh

communication skills. The term paper concept is based on theprinciples of ideation and implementation, the key elements of creativity and critical thinking.The development of ideas based on the students’ subject area(s) of interest serves as a drivingforce for implementation of the ideas. Implementation takes the students through the process ofliterature search for acquisition and development of knowledge base, design of experiment tovalidate and verify idea(s), performance of experiment for data acquisition, analyses andinterpretation of acquired data, and the ultimate report writing and presentation. Report writingteaches the students how to write and is an additional medium for learning the subject material.Presentation introduces and initiates the

Conference Session

Methodological & Theoretical Contributions to Engineering Education 3

Collection

2014 ASEE Annual Conference & Exposition

Authors

Floraliza Bornilla Bornasal, Oregon State University; Jessica Nina Lester, Indiana University; Shane A. Brown P.E., Oregon State University

Tagged Divisions

Educational Research and Methods

the questionSpeaker A  Insert expansion  Fins  rephrases questionSpeaker B  Second Pair Part  Sb  answers questionSpeaker A  Post-expansion  Fpost  asks a follow-up questionSpeaker B  Post-expansion  Spost  answers follow-up questionThere were generally seven different iterations of this schematic found within the excerptsanalyzed for this study. The most common forms of talk are noted in Table 1. Notably, talkinclusive with post-expansions were most commonly found within the excerpts analyzed for thisstudy. Number of Excerpts that included parts of talk (Schegloff, 2007) F pre S pre Fb Sb SCT PCM F post S post 15

Conference Session

Computer Hardware

Collection

2014 ASEE Annual Conference & Exposition

Authors

Johné M. Parker, University of Kentucky; Stephen L. Canfield, Tennessee Technological University; Sheikh Khaled Ghafoor

Tagged Divisions

Computers in Education

.  The transfer function between  and an external torque, , can be expressed in the form given in Equation 3, where  is the output of interest (represented by Y(s)) and  is the input (represented by U(s))  Y ( s) K n2  2   U ( s )   s  2  n s   2     n  (3)     From Equation 2, we can see that the pendulum is a 2nd order-system (and we can compare it to the general

Conference Session

Work-in-Progress Session: Supporting Students To, Through, and Beyond Transitions

Collection

2023 ASEE Annual Conference & Exposition

Authors

Natasha Lagoudas Wilkerson, Texas A&M University; Karen E. Rambo-Hernandez, Texas A&M University; Rachelle Pedersen, Texas A&M University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

, pp. 151–185, 2011.[6] Elementary science teachers’ sense-making with learning to implement engineering design and its impact on students’ science achievement[7] C. M. Cunningham and G. J. Kelly, “Epistemic Practices of Engineering for Education,” Science Education, vol 1010, no. 3, pp. 486–505, 2017.[8] T. J. Moore, A. W. Glancy, K. M. Tank, J. A. Kersten, K. A. Smith, and M. S. Stohlmann, “A Framework for Quality K-12 Engineering Education: Research and Development,” Journal of Pre-College Engineering Education Research (J-PEER), vol. 4, no. 1, 2014.[9] American Society for Engineering Education and Advancing Excellence in P12 Engineering Education. Framework for P-12 Engineering Learning, 2020

Conference Session

Educational Research and Methods Division (ERM) Technical Session 11

Collection

2024 ASEE Annual Conference & Exposition

Authors

Anjing Dai, Arizona State University; Xingchen Xu, Arizona State University; Li Tan, Arizona State University, Polytechnic Campus

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

other contexts were not considered.• The research should incorporate at least one significant finding related to the discrimination encountered by Asian engineering students, even if this is not the primary research question the study aims to address. After refining the search criteria, we identified nine studies. These studies arelisted in Table 1.Table 1Selected Studies 1 Bahnson, M., Hope, E., Satterfield, D., Alexander, A., Briggs, A., Allam, L., & Kirn, A. (2022). Students’ Experiences of Discrimination in Engineering Doctoral Education. 2022 ASEE Annual Conference & Exposition. https://peer.asee.org/41006.pdf 2 Lee, M. J., Collins, J. D., Harwood, S. A., Mendenhall, R., & Huntt, M. B

Conference Session

Graduate Studies Division (GSD) Technical Session 5: Skill Development in Graduate Education

Collection

2024 ASEE Annual Conference & Exposition

Authors

Peter Jamieson, Miami University

Tagged Divisions

Graduate Studies Division (GSD)

of some complexity, and case participants need todiscuss and come to some solution(s) or plan(s) for the case. Shapiro’s book [9] lists the basicprocess as: 1. Case learners prepare for the case by reading and analyzing it 2. Optionally - students can perform a deeper preparation by having a priori small group discussions 3. An in-class discussion is done for the case 4. An end-of-class summary is provided by the facilitatorAs there are many books on the case method, our approach uses ideas from Rosenthal andBrown’s book for examples of pedagogically strong cases [10], and Barnes, Christensen, andHansen’s book [11] on how to teach cases (readers should note that this book is not only good forlearning about the case method, but

Collection

2009 Fall ASEE Middle Atlantic Section Conference

Authors

Laura Borowski; Mary Lowe; Robert Bailey

was measured using a “catch and time” approach. A beaker was placed inthe lower reservoir to collect solution while a stopwatch was used to determine the time passed.Before each obstruction experiment, fluid volumes were collected over three time intervals: 5minutes, 4 minutes, and 3 minutes. Each volume was divided by its respective time to get anaverage fluid flow rate in mL/s. The lowest flow rate we used in our trials was 0.092 mL/s andthe highest was 0.262 mL/s. The apparatus is capable of sustaining higher flow rates, but theflows were turbulent. Velocity was measured by observing the distance a particle in the flowmoved between two sequential video frames, i.e. ∆t = 1/30 s = 0.033 s. Four trials were averagedto calculate the mean

Collection

2015 Northeast Section Meeting

Authors

Gazi Murat Duman; Elif Kongar

. In supporting Paradiand Zhu14, Lau 12 discussed that based on DEA’ s simplicity of use and flexibility in datarequirement, it has become a popular tool 12. In his study, Mostafa 15 explained that the DEAtechnique is an adequate tool for benchmarking, since it allows the identification of a group ofefficient DMUs for each non-efficient one 15. Furthermore, Lee and Kim 16 mentioned that thegreatest merit of DEA is that it provides benchmarking guidelines for inefficient DMUs. For each 2 © American Society for Engineering Education, 2015 2015 ASEE Northeast Section Conferenceinefficient DMU

Collection

2014 ASEE Zone 1 Conference

Authors

Martin Sinclair; Ioannis A. Raptis

position using two threaded rods to provide stability III. S INGLE C ELL M ODELING , DYNAMICS AND C ONTROLand support. The actuator model used was the L12-I from This section presents the theoretical model of a single cellFrigelli with a 100 mm stroke. The Frigelli L12 actuators were that is operated by four actuators. The kinematic and dynamicchosen due to their low cost and relative high speed (23 mm/s), equations of both the surface and the object are derived. Basedallowing them to respond quickly to control the motion of the on the equations of motion of the object, a simple feedbackobject. Though these actuators have a reduced strength (43 control law is designed for moving the object at a

Conference Session

Energy Conversion and Conservation Technical Session 5: Strategies for Increasing Classroom Engagement

Collection

2022 ASEE Annual Conference & Exposition

Authors

Sheldon Jeter, Georgia Institute of Technology; christopher fernandez

dt  QS  m RS W   hRSW  hZWV   m INZ cPM, INZ  tREL, INZ  tREL, Z   m INF DA MA cPM, OA  tREL, OA  tREL, Z  DA MA (26)In contrast, the corresponding equation from EnergyPlus with the missing moisture-related termemphasized is reproduced next: d tREL, Z m DA MA Z c PM,Z

Conference Session

Thinking About the Engineering Curriculum

Collection

2012 ASEE Annual Conference & Exposition

Authors

Olga Pierrakos, James Madison University; Anna Zilberberg; Christopher W. Swan, Tufts University; Angela R. Bielefeldt, University of Colorado, Boulder; Kurt Paterson P.E., Michigan Technological University; John J. Duffy, University of Massachusetts, Lowell; Sean Mcvay, James Madison Univeristy

Tagged Divisions

Educational Research and Methods

gap, this study aims to gain adeeper understanding of the faculty‟s experience with LTS. Herein, we present the thoroughdevelopment of the LTS Faculty Survey, designed with content and construct validationprocesses in mind and included quantitative and qualitative items, as well as key findings fromsurveyed LTS faculty experts (N=25). The survey enabled us to measure characteristics of LTScurricular and extracurricular efforts, perceived barriers faced by faculty, motivations forimplementing LTS efforts, attitudes about LTS, etc. all from a faculty perspective. Key findingssuggest that major barriers for LTS implementation are (1) faculty time/workload, (2) problemscoordinating with the community, and (3) the lack of policy on the role of LTS