score corresponds to the student's firstattempt to solve the worksheet, where no educational resources are available. In other words,these results come exclusively from the student's prior knowledge. In contrast, the maximumscore may match the student's final try, i.e., when the student solves the worksheet successfullyafter studying MATH 101's material. Of course, there are cases where the students only require asingle attempt to solve the worksheet satisfactorily; in these cases, the minimum and maximumscores are equal. Finally, note that the average number of attempts is a relative measure of thetopic's difficulty; the closer to 1, the easier it was for the student to pass to the next module.With the following topic-by-topic analysis, we can
/FIE.2017.8190515.[12] I. Villanueva, M. di Stefano, L. Gelles, K. Youmans, and A. Hunt, “Development and assessment of a vignette survey instrument to identify responses due to hidden curriculum among engineering students and faculty,” International Journal of Engineering Education, vol. 36, no. 5, pp. 1– 21, 2020.[13] F. D. Kentli, “Comparison of hidden curriculum theories,” European Journal of Engineering Education, vol. 1, no. 2, pp. 83–88, 2009.[14] S. Nieto, Affirming diversity: the sociopolitical context of multicultural education. Longman, 1992. [Online]. Available: http://lp.hscl.ufl.edu/login?url=https://search.ebscohost.com/login.aspx?direct =true&AuthType=ip,uid&db
: A research-based guide to break down popular stereotypes about science and scientists, 2017, pp. 1–18.[2] A. L. Zydney, J. S. Bennett, A. Shahid, and K. W. Bauer, “Impact of Undergraduate Research,” J. Eng. Educ., vol. 91(2), no. April, pp. 151–157, 2002.[3] D. F. Carter, H. K. Ro, B. Alcott, and L. R. Lattuca, Co-Curricular Connections: The Role of Undergraduate Research Experiences in Promoting Engineering Students’ Communication, Teamwork, and Leadership Skills, vol. 57, no. 3. Springer Netherlands, 2016.[4] M. K. Eagan, S. Hurtado, M. J. Chang, G. A. Garcia, F. A. Herrera, and J. C. Garibay, Making a Difference in Science Education: The Impact of Undergraduate Research Programs, vol. 50, no. 4
. Gouak, “Understanding the Demographics of Surveying Students in Pennsylvania and Making Plans to Increase the Awareness of the Surveying Profession.” Journal of Surveying Engineering, vol. 146, no. 2, 05020002, 2020[13] P. Arcidiacono, V. J. Hotz and S. Kang, “Modeling college major choices using elicited measures of expectations and counterfactuals”, Journal of Econometrics, vol. 166, no. 1, pp. 3-16, 2012.[14] M. Wiswall and B. Zafar, “Determinants of college major choice: Identification using an information experiment”, The Review of Economic Studies, vol. 82, no. 2, pp. 791-824, 2015.[15] US Bureau of Labor Statistics “Architecture and Engineering Occupations”. US Bureau of Labor Statistics, 2023a. [Online]. Available
, science, and technology to include new forms of communication and problem solving for emerging grand challenges. A second vein of Janet’s research seeks to identify the social and cultural impacts of technological choices made by engineers in the process of designing and creating new devices and systems. Her work considers the intentional and unintentional consequences of durable struc- tures, products, architectures, and standards in engineering education, to pinpoint areas for transformative change.Dr. Daniel Knight, University of Colorado, Boulder Daniel W. Knight is the Program Assessment and Research Associate at Design Center (DC) Colorado in CUˆa C™s Department of Mechanical Engineering at the College of
Erasmus scholarship for an exchange program at the University of Jaen, Spain. He had his undergraduate degree in Civil Engineering at the University of Ibadan, Nigeria.Dr. Janet M. Beagle Dr. Janet Beagle is the Director of Graduate Programs for Purdue Universityˆa C™s College of Engi- neering. Formerly the Director of Graduate Admissions over five campuses and more than 100 graduate programs, she has worked with graduate recruitment and admisDr. Jacqueline E. McDermott ©American Society for Engineering Education, 2023 Assessing the Effectiveness of the GradTrack Virtual Mentoring ProgramAbstractIncreasing the percentage of underrepresented minority (URM) students in engineering graduateprograms
, Germany, Mexico, and Malaysia. Several research papers[5–11] have found that hands-on learning via mobile studio platforms such as the Mobile StudioBoard (MSB) and the Analog Discovery Board (ADB) can help students with diverse learningstyles, demographics, and academic backgrounds learn better. There are now several commercialproducts, such as Analog Devices Inc.'s ADALM 1000 board (ADALM 1K) and ADALM 2000board (ADALM 2K), Digilent's Analog Discovery 2TM, and Quanser's QUBE-Servo portableplatform, that allow students to conduct control engineering experiments.Given the difficulty, if not impossibility, of obtaining hands-on experience in a traditional labsetting in a CS department, portable hardware platforms could provide a tremendous
Atienza for her contribution to developing the BEADLE curriculum. The authors alsothank Justine Bailey and Cinthya Rosales for thoroughly testing the curriculum.References[1] R. Hussein and D. Wilson, “Remote Versus In-hand Hardware Laboratory in Digital CircuitsCourses,” American Society for Engineering Education ASEE conference, Electrical andComputer Engineering Division, Jul. 2021. [Online]. Available: https://peer.asee.org/37662[2] R. Hussein, B. Chap, M. Inonan, M. Guo, F. Monroy, R. Maloney, S. Alves, and S. Kalisi,“Remote Hub Lab – RHL: Broadly Accessible Technologies for Education and Telehealth”, 20thAnnual International Conference on Remote Engineering and Virtual Instrumentation REV 2023[3] R. Harper and H. Thiry, “Advising from
, I. Villanueva Alarcón. Learning from hidden realities of latinx contingent stem faculty at hispanic serving institutions: Policies to support latinx contingent stem faculty. J of Hre Ed Mgnt, 38(2), pp. 19-31. 3. S. B. Wepner, A. D’Onofrio, & S. C. Wilhite. (2008). “The leadership dimensions of education deans.” J of Teac Ed. vol. 59 no. 2, pp. 153-169. 4. Higher Education Publications Inc. (2018, August 8). College administrator data/turnover rates: 2016-Present.” https://hepinc.com/newsroom/college- administrator-data-turnover- rates-2016-present/ (accessed Nov. 2, 2022). Higher Education Publication. 5. D. Butin & F. Zamudio-Suarez. “So, you want to be a dean?” https://www.chronicle.com
or implied, of NSF, or the U.S. Government.References 1. Táíwò, O. O. (2022) Reconsidering Reparations. Oxford University Press 2. Steffen, W., Richardson, K., Rockström, J., Cornell, S. E., Fetzer, I., Bennett, E. M., ... & Sörlin, S. (2015). Planetary boundaries: Guiding human development on a changing planet. Science, 347(6223), 1259855. 3. Wynter, S. (2003). Unsettling the coloniality of being/power/truth/freedom: Towards the human, after man, its overrepresentation—An argument. CR: The new centennial review, 3(3), 257-337. 4. Wynter, S., & McKittrick, K. (2015). Unparalleled catastrophe for our species? Or, to give humanness a different future: Conversations. In Sylvia Wynter (pp. 9-89). Duke
that this phenomenon reflected that students involved in project-based learning activities were more inclined to regard themselves as a part of the engineeringcommunity.The students in Motamedi’s study [19] tended to prefer the flipped classroom because of itsflexibility with their schedules, their ability to watch lectures when they felt motivated tolearn and when they knew that they would be able to stay focused, and their increasedengagement with short video content. A significant disadvantage was their inability to askquestions while learning the material; thus, students would go to class feeling confused andill-prepared. Vidic et al.’s [18] study of flipped classrooms addressed this issue by allowingstudents to post their questions about
am able to be on campus and focus on my studies” [modality], “The pressure external of what would happen if I failed” [external] TABLE I FACILITATORS - C ATEGORIES AND O RIGINAL C ODES . # S TUDENTS IS THE NUMBER OF SURVEY RESPONDENTS AT LEAST ONE OF WHOSE RESPONSES WAS CODED WITH AT LEAST ONE CODE FROM THAT CATEGORY. C ODES IN EACH CATEGORY ARE LISTED INDECREASING FREQUENCY, ACCOMPANIED BY AN EXAMPLE STUDENT RESPONSE CODED BY THE TOP THREE MOST FREQUENT CODES IN EACH CATEGORY. C ATEGORIES GROUP CODES EXPRESSING SIMILAR SENTIMENT. Category # Students Codes Example Response No-answer 289
long term interest in pursuing coding careers, we hypothesize that longercamps spread over one or more academic years to be ideal.Acknowledgement:The authors would like to thank Texas Workforce Commision for funding the camp and the staffof Good Samaritan Community Center, San Antonio, Texas for providing space to hose thesummer campReferences[1] National girls collaborative alliance https://ngcproject.org/statistics Retrieved Dec 3, 2019.[2] Best time to build a love of STEM? It’s after the school day ends, research sayshttps://hechingerreport.org/school-programs-can-boost-interest-stem-research-shows/ Retrieved Dec 22, 2019[3] Grover, S., Pea, R., & Cooper, S. (2016, February). Factors influencing computer science learning in
of 8 participantsCommunication response from other teammate(s)Delegation Impact of assigning roles to individual team members 8 out of 8 participants and overall distribution (or lack thereof) of tasks required by the projectLack of Team member(s) show a lack of motivation after 8 out of 8 participantsMotivation moving onlineMeeting Team member expresses challenge of getting team to 8 out of 8 participants meet after moving online due to schedulingRelationship Student expresses impact of getting to know teammates 8 out of 8 participantsFormation for online project compared to in
all the codinginstances.Table 1: Three examples of stories with their codes and IRR Post Story Coder L Coder G Coder S IRR # 1 My name is Gale. I'm a postdoc studying natural resource management, coping mechanism under 78.6% and I have ADHD and Generalized Anxiety Disorder. coping represented/women I've seen therapists off and on since age 19, and never thought I needed mechanism/behaviora coping meds. But once I started grad school, all my normal coping mechanisms
. This work encourages the engineering educationcommunity to find new ways to define how an inclusive practice is working for a specificcontext, as a supplement to a quantitative approach.References[1] C. E. Foor, S. E. Walden, and D. A. Trytten, “‘I Wish that I Belonged More in this Whole Engineering Group:’ Achieving Individual Diversity,” J. Eng. Educ., vol. 96, no. 2, pp. 103–115, 2007, doi: https://doi.org/10.1002/j.2168-9830.2007.tb00921.x.[2] B. Berhane, S. Secules, and F. Onuma, “Learning While Black: Identity Formation and Experience for Five Black Men Who Transferred Into Engineering Undergraduate Programs,” J. Women Minor. Sci. Eng., vol. 26, 2020, doi: 10.1615/JWomenMinorScienEng.2020024994.[3] M. Kali, S. Secules, and C
thematching survey and one from the baseline (pre-) survey. Table 1 serves to highlight and labelthese five survey questions. Table 1: Main survey questions analyzed from the canceled GAIN pilot. The identifier “M” refers to the matching survey and “B” refers to the baseline survey Topic, Style, and Source Highlighted Survey Question Briefly describe the main challenge(s) you have faced Question M1: in college so far. Examples academic struggles, Challenges faced personal struggles, time management, work-balance life, difficult
[1] D. Barr, J. Harrison, and L. Conery, "Computational thinking: A digital age skill for everyone," Learning & Leading with Technology, vol. 38, no. 6, pp. 20-23, 2011.[2] C. ISTE. "Computational Thinking Leadership Toolkit - ISTE." https://cdn.iste.org/www-root/ct-documents/ct-leadershipt-toolkit.pdf?sfvrsn=4 (accessed 2021).[3] I. Corradini, M. Lodi, and E. Nardelli, "Computational Thinking in Italian Schools: Quantitative Data and Teachers' Sentiment Analysis after Two Years of" Programma il Futuro"," in Proceedings of the 2017 ACM Conference on Innovation and Technology in Computer Science Education, 2017, pp. 224-229.[4] S. F. Sidek, C. S. Said, and M. H. M. Yatim, "Characterizing
. Stylus Publishing, LLC., 2017.[7] W. C. Newstetter, “Of Green Monkeys and Failed Affordances: A Case Study of a Mechanical Engineering Design Course,” Res. Eng. Des., vol. 10, no. 2, pp. 118–128, 1998.[8] D. Armel and S. A. Shrock, “The Effects of Required and Optional Computer-Based Note Taking on Achievement and Instructional Completion Time,” J. Educ. Comput. Res., 1996.[9] S. A. Lei, “Revisiting Extra Credit Assignments Perspectives of College Instructors,” J. Instr. Psychol., 2010.[10] T. Park, C. S. Woods, S. Hu, T. B. Jones, and D. Tandberg, “What Happens to Underprepared First-Time-in-College Students When Developmental Education is Optional? The Case of Developmental Math and Intermediate
, and data collection documents and procedures were available inboth Spanish and English languages for youth participants and their guardians. We followedOMSI guidelines for collecting, managing, and analyzing data in two languages (e.g., more thanone researcher is fluent in Spanish and English, instrument development includes members ofLatino communities, data is collected in participants’ preferred language(s) and is kept in thesource language throughout the analysis).Data collectionObservationA one-page form was used to gather observation data. The form prompted observers to recordthe size and make-up of the visitor group, the date and time of day, and the name of the exhibit.Once a visitor interacted with the exhibit, observers recorded the
LLC is only for first-year students, the factors and skillsets participants learn stay with them their remaining time atFAMU.References[1] K., Inkelas, J.E. Jessup-Anger, M. Benjamin, and M.R. Wawrzynski, (2018) Living LearningCommunities that work: A research-based model for design, delivery, and assessment. StylusPublishing, LLC.[2] K. Inkelas, Z. E., K. E., Daver, Vogt, and J., Leonard, (2007). Living–Learning Programsand First-Generation College Students’ Academic and Social Transition to College. Research inHigher Education, 48(4), 403-434. doi: 10.1007/s11162-006-9031-6[3] K. Inkelas, M. Soldner, S. Longerbeam, and J. Leonard (2008). Differences in StudentOutcomes by Types of Living–Learning Programs: The Development of an Empirical
. Cook received her doctorate in Social and Personality Psychology from the University of Washington, with a minor in quantitative methods and emphases in cognitive and educational psychology. Her research has included classroom learning, identity, and person perception.Dr. Gregory Mason P.E., Seattle University Gregory S. Mason received the B.S.M.E. degree from Gonzaga University in 1983, the M.S.M.E. de- gree in manufacturing automation from Georgia Institute of Technology in 1984 and the Ph.D. degree in mechanical engineering, specializing in multi-rate digital controls, from the University of Washington in 1992. He worked in a robotics lab for the Department of Defense for five years after receiving his
support systems, suggesting the sequencing of three phases whenconducting a Live on Facebook. A) Planning, where the Live Transmission is designed anddefined, generates an advance with the topics discussed, published/promoted in the same socialnetwork. B) Transmission begins with the expert (s) presentation and guests' presentation andtakes advantage of the options for reactions and comments to direct the Live Transmissioncontent and make it even more relevant. C) The post-broadcast when it must ensure that the LiveTransmission recording is available for future views.In the field of languages and culture, Ross [4] shows how the crisis has fundamentally alteredteaching methods, which is why a shift towards remote teaching is required in Harvard
] M. Simmons, G. Parchoma, M. Jacobsen, D. Nelson, and S. Bhola, “Designing for studentengagement in an online doctoral research methods course. Proceedings of the IDEAS:Designing for Innovation. pp. 81–91, 2016.[3] P. Nuangchalerm, T. Polyiem, and P. Wongchantra, “Learning achievement, science processskills, and moral reasoning of ninth grade students learned by 7E learning cycle andsocioscientific issue-based learning. Australian Journal of Basic and Applied Sciences, vol. 5,no. 10, pp. 257-564, 2011.[4] S.J. Baldwin and J.H. Trespalacios, “Evaluation instruments and good practices in onlineeducation,” Online Learning, vol. 21, no. 2. pp. 1-18. doi:10.24059/olj.v21i2.913, 2017.[5] P. K. Gibson and T. Kinsey, “Need we train online
, "Community Engagement in Engineering Education: Needs and Learning Outcomes," in Developments in Engineering Education Standards: Advanced Curriculum Innovations: IGI Global, 2012, pp. 301-317.[8] E. A. Davis, A. S. Palincsar, A. M. Arias, A. S. Bismack, L. Marulis, and S. Iwashyna, "Designing educative curriculum materials: A theoretically and empirically driven process," Harvard Educational Review, vol. 84, no. 1, pp. 24-52, 2014.[9] V. Svihla, T. Kubik, and T. Stephens-Shauger, "Performance assessment practice as professional learning," Interdisciplinary Journal of Problem-based Learning, vol. 13, no. 2, 2019.[10] P. Freire, Pedagogy of the oppressed. New York, NY: Herder and Herder, 1970.[11] L. T. Smith
sciences, mathematics, and physical and life sciences, but also psychology and socialsciences. Seventeen million U.S. workers are considered part of the skilled technical workforce[16]. For engineers alone, this value has risen from 2.11% of the U.S. population in 2005 to2.71% in 2018 [17]. Additionally, the number of people connected to technology continues toincrease, as previously cited herein. It is therefore the authors’ assessment that the size of thepopulation of those involved with or affected by technology has both increased and become moremultidisciplinary.A study of the diversity portion of this prediction indicates that diversity has increased slightlyamong the U.S. science and engineering (S&E) workforce, although women and
modalities of governance as operatingsimultaneously, and sometimes in tension. This is compatible with the ecological and systemsoriented perspective from which we chose to study engineering education governance. Giventhat this is a work in progress, where we seek to develop our ideas in dialogue with our audience,we will close the paper with these sparse concluding remarks. We welcome all those who readthis paper to send us your thoughts (and any case studies that you are willing to share with us) byemailing any of the authors starting with the project PIs: akeraa@rpi.edu, rac039@rpi.edu,riley@purdue.edu.References[1] Akera, A., Appelhans, S., Cheville, A., De Pree, T., Fatehiboroujeni, S., Karlin, J., Riley, D.M., ABET & engineering
data analysis appropriate for this data. Table 1: Effect Coding of Independent Variables for Linear Regression Models Characteristic Variable Name(s) Effect Coding Gender Gender Male = -1; Female = 1 Race/Ethnicity URM White = -1; Asian = 0; Other (URM) = 1 Father, Mother, or both have College Degree = -1 Family of Origin First-Generation Neither Father or Mother have College Degree = 1 U.S. or permanent resident = -1 Country of Origin International
STateAcademic Redshirts (WA STARS) Program at University of Washington (UW) and WashingtonState University (WSU) suggests that the “redshirt in engineering” model is a successful tool forimproving outcomes for students who would be otherwise excluded from engineering. Theexpansion of the model to three additional schools -- University of California, San Diego(UCSD), Boise State University (BSU), and University of Illinois, Urbana-Champaign (UIUC) --will allow for an examination of its malleability and potential for further dissemination. Lessons1 Note: much of the information in the introduction was drawn from the NSF S-STEM proposal to fund theRedshirt in Engineering Consortium.learned from existing redshirt programs and the first two years of the
University. Special acknowledgment is given to Dr. Amanda Goodson, Founder ofAmanda Goodson Global. She served as the Professional Development Consultant anddeveloped and implemented the curriculum for this PDW.Bibliography 1. Emmer, M. J. and Brunhoeffer, G. C. F. Knowledge and attributes of forecasting index: Self-assessment for graduating Construction Management students. In: Proceedings of the 2015 Associated Schools of Construction Annual International Conference. 2015. http://www.ascpro.ascweb.org/chair/paper/CERT385002015.pdf. Accessed March 15, 2017. 2. Multon, K. D., Brown, S. D., and Lent, R. W. Relation of self-efficacy beliefs to academic outcomes: A meta-analytic investigation. Journal of Counseling