persistenceand graduation outcomes (Dewsbury, et al., 2019). In addition to socioeconomic factors, FGSalso choose engineering for the ability to make a societal impact (Thompson, 2021).STEM FGS Academic DeterminantsFGS are enrolled in STEM programs at a lower rate than CGS (Chen & Carroll, 2005) and havelower persistence and graduate rates (Chen & Soldner, 2013). Studies show STEM FGS are lessacademically prepared for college as (determined by college prep courses and standardized testscores), and have lower math and science self-efficacy than CGS (Green & Sanderson, 2017).Despite these precollege academic readiness deficiencies, FGS still enter college with high levelsof interest in engineering programs (Robinson et al., 2018).Performing
for Research to Improve Postsecondary Teaching and Learning, The University of Michigan, 1986.11. R. Schwarzer and M. Jerusalem, M, “Generalized Self-Efficacy scale,” in J. Weinman, S. Wright, and M. Johnston, Measures in health psychology: A user’s portfolio. Causal and control beliefs. Windsor, UK: NFER-NELSON, pp. 35-37, 1995.12. B. J. Zimmerman, “Self-regulated learning and academic achievement: An overview,” Educational Psychologist, vol. 25, pp. 3-17, 1990.13. B. P. Helmke, “Barriers to learning in a large flipped biotransport course,” ASEE Annual Conference, June 25-28, 2017, Columbus, OH. Paper ID #18299.14. J. J. Endo and R. L. Harpel, “The effect of student-faculty interaction on students
learning goals in a bid to improve their learning [8]. Also, by self-assessingtheir learning, students are brought into the learning process thereby making them active and notpassive contributors to their own learning [6]. On the other hand, instructors also find self-assessments to be valuable as they take advantage of it to improve students' self-efficacy therebymaking the students commit to learning outside of the classroom [6], [7], [10]. It was found in anengineering course that final grades were higher for students who took self-assessmentscompared to those that didn’t [11]. As a result, Baisley [11] argued that self-assessment eitherimproves the performance of students or that high-performing students are more likely to takeself
accomplish much on their own,stating that it is because the girls aren’t present to lead the group or assign tasks.Student Assessments and Self-Efficacy ScoresAt the end of each session, students spend a whole day on reflection. This reflection includesproviding feedback to their peers and analyzing their own experiences during the session. Thestudents discuss personal reflections and complete a self-assessment of their learning during thesession. The students fill out a survey which asks them to score their skill levels on specific skillsthat were used during the session such as “Brainstorming,” “Sketching,” “Prototyping,” and“2D-Design: Illustrator.” For each skill, they rate their level on a 3-point Likert scale withanswer choices “Lacking
components: a) assessing student self-efficacy, i.e., their perception of theirown ability to perform certain tasks, and b) perceived effectiveness of instructional techniquesused in the class. Survey questions include: A) Self-efficacy (“I am confident that …”) Scale: Strongly disagree (1), Disagree (2), Neutral (3), Agree (4), Strongly Agree (5) 1. I can program and use MATLAB to solve problems 2. I can use MATLAB to control LabJack 3. I can solve DC electric circuits problems 4. I can solve general engineering problems 5. I can write good quality reports B) Effectiveness of instructional techniques Scale: Complete waste of time (1), Not helpful (2), Neutral (3), Somewhat helpful (4), Very
Expectancy-Value Theory, developed by JacquelineEccles, to understand the factors influencing students’ persistence in engineering. AsMatusovich et al. explains [6], Expectancy-Value Theory suggests that a student’s decision topersist is shaped by: 1) their expectancy or belief that they can succeed in engineering (i.e., “CanI do this?”) and 2) the value or importance they put on engineering (i.e., “Do I want to do this?”).Expectancy beliefs can include: - Engineering self-efficacy (i.e., confidence in one’s ability) - Expectations for success in engineeringValue beliefs can include: - Intrinsic interest (enjoyment of engineering activities or interest in engineering) - Attainment (importance of doing well in engineering in terms of one’s
questions that examine the following factors: affect towards design, technology self-efficacy, innovation orientation, design self-efficacy, and a sense of belonging to themakerspace. As these surveys continue, this research team plans on conducting further analysisto explore the student experience in these courses. In addition to these quantitative measures,future research should conduct in-depth interviews with students and TAs about theirexperiences. Finally, a comparative case study amongst faculty members would be useful inexamining different approaches to iteration and pedagogy to further establish best practices.ReferencesAmerican Society for Engineering Education. (2016). Envisioning the future of the maker movement: Summit Report
(NSWCCD). The partnership between University of Maryland andNSWCCD allowed for project mentorship by volunteers from NSWCCD, Lockheed Martin, andby the instructor. Within the scope of the project, students must use mathematical fundamentalsto conduct an engineering design. Examples include calculations for carrying capacity andairfoil selection based on experimentally measured principles of aerodynamics, such askinematic equations of motion, lift, drag, and thrust (Figure UM-1).The inclusion of the design project is motivated by the potential to increase the mathematical andengineering self-efficacy that students receive from the course. It is believed that employing themathematical fundamentals acquired in the course to solve real-world
. Otherengineering educators have presented projects of similar complexity, including a fast-returnactuator [8], compressed air engine [9], and ceiling hoist [10]. These projects are typicallyimplemented in standalone lab settings [7] or embedded within junior year machine designcourses [3, 10] and students work in groups to manufacture their prototype from a common,instructor-specified design. Implementation of machining projects has been linked to improvedcourse evaluations [3, 11] and enhanced understanding of theory-based course material [10];however, prior studies do not present evidence of improvement in students’ self-efficacy withregards to specific machining skills nor do these prior studies adequately demonstrate thetransferability of machining
academic/personal growth and understanding of engineering careers.Participants reported increased interest in and understanding of research practices and futurecareers. One “Learned so much more about the field I am going into and the different types ofwork I can expect in my future.” Another described growth in research interest, career potential,and opportunities for future study: “Ultimately, it [the internship] opened my interests and eyes to a different type of engineering that I did not expect. Also, with seeing how helpful this opportunity was I have become more excited to transfer and get more involved with this project or other projects.”Emerging self-efficacy [19]-[23] as an engineer is evident in the
“weed out” course. In the larger project of which thisstudy is a part, we utilize the constructs of engineering identity and self-efficacy as proxies toexamine future attrition. In this study, we focus on fine-tuning our instructional interventions toincrease students’ sense of community. Results from this initial iteration reveal usefuldifferences in the role instructors and students play in the course as well as the impact thosechanges have on students’ sense of community. Over time, we believe an increase in a sense ofcommunity among the students will have a positive impact on both their engineering identity andself-efficacy, and thus their continuation as engineering majors, as they continue in theirprograms.References[1] Blickenstaff
for the reader.]1There is a growing national concern over decreases in science achievement in middle and highschool. Paired with it are challenges associated with workforce declines in STEM-relatedcareers. In response, in a recent PCAST report,2 recommendations for recruitment of science andengineering students and corresponding recommendations for increased attention to strategicSTEM-related instruction and teacher professional development have emerged. A significantchallenge facing urban science and math teachers is a low sense of self-efficacy in teachingSTEM content.3 Additionally, a recent large-scale study of teachers revealed that secondaryteachers indicated a strong need for help in the area teaching in science, and that a weakness
careers. Inresponse, in a recent PCAST report1 recommendations for recruitment of science and Page 24.1042.3engineering students and corresponding recommendations for increased attention to strategicSTEM-related instruction and teacher professional development have emerged. A significantchallenge facing urban science teachers is a low sense of self-efficacy in teaching STEMcontent.2 Additionally, a recent large-scale study of teachers revealed that secondary teachersindicated a strong need for help in the areas of English Language Development (ELD) andcontent teaching in science, and that a weakness of existing professional development was in
building blocks for the development of self-efficacy 44.Further indication of this effect is the subsequent formation of a 3D printing club by anumber of the students in the class, in order to continue their design activities in anextracurricular fashion.No specific assessment of self-efficacy (in particular in relation to the reported genderdifferences) was conducted, as the survey instrument of this work in progress wasdesigned to only probe for student preferences. Future work however will considerexpanding the analysis to include these assessments.Conclusion and future workThe intention of this work-in-progress was to qualify changes in SV caused by thegeometric design projects and the 3D printing interventions, and the student survey
is preferencefor AR) 4.2 1.30 5.4 1.525. Conclusion and Future WorkWe created an AR app to open up the “black box” of the SEM and allow students to investigatethe different components and functions of the machine. The app was piloted to a small group ofstudents in Spring of 2021. Students were given pre- and post- assessments to measure changesin their self-efficacy, willingness to re-engage with the content, and fear of making mistakes aswell as their conceptual understanding of the SEM. We found that students who used the AR appdid exhibit a statistically significant increase in willingness to re-engage with the SEM after thecourse. Learner feedback indicates
how well the participant might work with someone who has a different worldview, culture, and life experiences; while this is important for forecasting possible project partnership successes and challenges (and can inform preparation), it is also s ggesti e of the frame ork s pporting a st dent s motivations for participation.C. Sustainable Engineering Assessment This assessment addresses how well prepared students are to work with global engineering problems. It is comprised of two components: (1) an open-ended case study based question to measure the understanding of sustainable engineering, Proceedings of the 2011 North Midwest Section Conference and (2) an online survey in which the motivations, self
the entrepreneurial mindset across the curriculum,” unpublished. 4. S. Purzer, N. Fila, and K. Nataraja, “Evaluation of Current Assessment Methods in Engineering Entrepreneurship Education,” Advances in Engineering Education, Winter 2016 issue, Feb. 2016. 5. Shartrand, P. Weilerstein, M. Besterfield-Sacre, and B. M. Olds, “Assessing student learning in technology entrepreneurship,” 2008 38th Annual Frontiers in Education Conference, 2008. 6. J. E. Mcgee, M. Peterson, S. L. Mueller, and J. M. Sequeira, “Entrepreneurial Self-Efficacy: Refining the Measure,” Entrepreneurship Theory and Practice, vol. 33, no. 4, pp. 965–988, 2009. 7. M. Schar, S. Gilmartin, A. Harris, B. Rieken, and S. Sheppard, “Innovation Self
ofdeveloping student writing skills. The students were administered pre and post surveys. The firstsurvey consisted of twelve questions used to measure student preferences for instructionalpedagogy or student preferences for teaching methods and resources used to help teach classes.This survey used a Likert scale using the rankings of Strongly disagree (1), Disagree (2), Neutral(3), Agree (4), and Strongly Agree (5). PRISM statistical software was used to perform thestatistical analysis of survey data to calculate significance in compared data using a two-tailed t-test. The ABET survey consisted of eleven questions to measure student self-efficacy for theircompetencies in the Accreditation Board for Engineering and Technology (ABET) criteria areas
the competitive climate experienced in STEM classes, increased reports of loss of confidenceincluding among high-performing female students who switch out of STEM, and problemsfinancing college. Seymour also notes that students with socio-economic disadvantages are atrisk of leaving their institution following just one DFWI grade in a severe STEM gateway courseeven when their grades in other courses place them in good academic standing [4]. This body ofliterature suggests that for many students, particularly women, minoritized individuals, andstudents from disadvantaged backgrounds, issues related to competitive/individualistic climate,lack of fit, lack of interest, and loss of self-efficacy can be significant drivers of attrition
]. Acquiring studentinformation that addresses student willingness to pursue STEM as a career preference was difficultdue to teacher error in reporting long-term student information or students not responding to specifiedquestions [10].Addressing the GapAt the time of this study, RET program evaluation measures tend to focus on the growth anddevelopment of teacher self-efficacy, engineering content knowledge gains, or classroomimplementation of developed curriculum materials and students' attitudes toward STEM. To provide abetter understanding of RET programs' impact on students, data are needed to show the long-termimpact of PjBL RETs on student graduation rates and STEM undergraduate major selection rates. Thestudy sought to inform RET program
internationalcapstone design experience.Service learning appears as a manifest variable measuring Humanitarian Attributes. Despite thefact that there has been evidence provided that our society is turning from a value system basedon self-sacrifice and duty, to more of a value system based on self-attention11 and self-servingbehaviors, service learning remains an important factor in facilitating student engagement anddeveloping student motivation12. This experiential service learning component enhances studentlearning while facilitating the development of self-efficacy. Service learning opportunitiesprovide immediate feedback concerning the student’s contribution in addressing a particularsocietal need, thereby greatly bolstering the student’s self-view of
to entering college generally experience greater success in the first year of an engineering program. Our AB7G cohort model begins in the third grade. Students are registered as a class and begin a supplemental course that enhances and measures their success against state-recognized goals. Ab7G Objectives: •Increase self efficacy in students from historically underrepresented groups through mentorship and engagement •Provide ethnicity and gender-matched mentors to historically underrepresented students through engaging Purdue engineering and STEM students •Engage parents in fun activities to increase their involvement in student learning activities The AB7G program meets on the 2nd and 4th Saturday of each month. There is no cost
#0206630 (PI McGourty): http://nsf.gov/awardsearch/showAward.do?AwardNumber=02066305. Mickelson, S.K., Hanneman, L. F., Guardiola, R. & Brumm, T.J. (2001). Development of Workplace Competencies Sufficient to Measure ABET Outcomes. Conference Proceedings of Annual ASEE Conference and Exposition. June 2001, Albuquerque, New Mexico.6. Bandura (1986). Social Foundations of Thought and Action: A Social Cognitive Theory. Englewood Cliffs, NJ: Prentice Hall. Page 13.238.87. Bandura, A. (1997). Self-efficacy: The exercise of control. New York: W.H. Freeman and Company.8. Bandura, A. (1989). Human agency in social
].The second possibility for expanding access offers depth over breadth. Stacking multiple high-impact practices has been demonstrated to hold potential as a multiplier effect [13,4,14-15].Where experiencing a single high-impact practice is good, experiencing more than one can beeven better. In this study we ask, To what extent does stacking additional high-impact practiceson top of course-based PBL provide additional benefits for students? We examine this potentialvalue in terms of the range of benefits previously associated with PBL: developing professionalskills and mindsets, as well as building content mastery; improving self-efficacy and ownershipover learning; and career preparedness. We then extend these well-established impacts of PBLby
this case provided by the NASA Space Grant.The student is living minority status in three dimensions (3D) as being a woman, a first-generation college student, and a Native American studying engineering.It is fascinating to analyze how one’s environment and experiences influence their resiliency.Data will be collected on her readiness for an academic career along measures including but notlimited to understanding of the research process, skills in academic writing, self-efficacy, andcompetence in oral presentation. The case study will explore her story. What experiences shapedher determination and brought her to this level, and what benefit did she gain from NASA Spacegrant? The goal is that sharing her story will encourage others to believe
-curricular training fellowship offers the skill-building, cohort-based peer-support, 8+ semesters of time, and life experiences to help address this challenge.The rise in entrepreneurship education at the university level is rooted in student and faculty desireto teach abstract and applied STEM knowledge in a deeper way that delivers value for real-worldstakeholders. Students learn dynamism and adaptability while simultaneously obtaining thefundamentals [1]. While entrepreneurship education typically rose out of business school roots,engineering programs increasingly look to integrate those activities in their curricula due to naturalsynergies around the design process [2], customer/product fit, student demand for purpose-drivenwork, self-efficacy
theirteachers’ participation in the RET programs. Students gained science and engineeringknowledge, increased their science interest and motivation, and demonstrated gains in scienceliteracy as well. Introduction and program needThere is a growing national concern over decreases in science achievement in middle and highschool. Paired with it are challenges associated with workforce declines in STEM-relatedcareers. In response, in a recent PCAST report1 recommendations for recruitment of scienceand engineering students and corresponding recommendations for increased attention to strategicSTEM-related instruction and teacher professional development have emerged. A significantchallenge facing urban science teachers is a low sense of self-efficacy in
program is in year 3 of implementation with few participants (N=8 teachersand 16 students), multiyear comparisons and multivariate analyses are not yet possible and willnot be presented as the sample size is still relatively small and not all data sets have beencollected. Accordingly, descriptive statistics and qualitative analyses associated with theavailable data sets are illustrated and described.Teacher Related ResultsScience Teaching EfficacyThe Science Teaching Efficacy Beliefs Instrument (STEBI) is an instrument based on Bandura’sdefinition of self-efficacy as a situation-specific construct. The instrument was developed byRiggs and Enochs 7 to measure efficacy of teaching science. The STEBI consists of 23statements which are divided to
programs- reporting the efficacyof such courses within the context of such available resources is of broad interest to theengineering community. This study sought to measure the effectiveness of a clinical observationscourse designed for a major land-grant, public university without proximity to a medical school.We compared IP generation and pre- and post-class surveys were used to quantify students’ self-efficacy, motivations, and ability to make connections to real-world problems. The total numberof IP applications increased more than two-fold following the adoption of the course, and surveyresults indicated students’ collective improving understanding of the design process. Ongoingwork will continue to examine the long-term impacts of the
Education,” Journal of Construction Engineering and Management,vol. 126, no. 3, pp. 169–175, May 2000, doi: 10.1061/(ASCE)0733-9364(2000)126:3(169).[3] J. Biggs, “The reflective institution: Assuring and enhancing the quality of teaching andlearning,” http://lst-iiep.iiep-unesco.org/cgi-bin/wwwi32.exe/[in=epidoc1.in]/?t2000=016712/(100), vol. 41, Apr. 2001, doi:10.1023/A:1004181331049.[4] M. A. Cavanaugh, G. Milkovich, and J. Tang, “The Effective Use of MultimediaDistance Learning Technology: The Role of Technology Self-Efficacy, Attitudes, Reliability,Use and Distance in a Global Multimedia Distance Learning Classroom,” undefined, 2000,Accessed: May 13, 2022. [Online]. Available: https://www.semanticscholar.org/paper/The-Effective-Use-of