, such as involvement in makerspaces, can lead to increases inengineering self-efficacy and can provide opportunities for students’ to be recognized asengineers, potentially promoting the development of their engineering identity. However,participation in makerspaces is not necessarily equal across all student groups, with the potentialfor white, man-dominated cultures of engineering to be replicated in makerspaces, preventingstudents from marginalized groups from feeling welcome or participating. Earningmicrocredentials and digital badges in makerspaces has the potential to encourage participationand provide a means for recognition. The goal of this two-year project (funded by NSF’s PFE:Research Initiation in Engineering Formation program) is
includefoundational bioethics frameworks in autonomy, justice, and beneficence; virtueethics; ethical sourcing of materials; risk analyses of medical technologies; andfairness in healthcare costs. We have developed reflection assignments on studentperception of ethics in biomedical engineering that reflect increased self-efficacyand comfort with ethical inquiry. Assessments on stakeholders and perceived riskduring senior design courses indicate growth in applying case studies from previousbiomedical technologies to identify potential ethical dilemmas in developing anddeploying a new technology. Future work will measure student self-efficacy acrossthe BME curriculum and post-graduation in longitudinal studies on preparation forethical decision making as
. Ahmad, "Learning styles and critical thinking skills of engineering students," in 2017 IEEE 9th International Conference on Engineering Education (ICEED), 2017.[5] E. E. Miskioğlu and D. W. Wood, "That's not my style: Understanding the correlation of learning style preferences, self-efficacy, and student performance in an introductory chemical engineering course," in 2014 IEEE Frontiers in Education Conference (FIE) Proceedings, 2014.[6] R. J. Kapadia, "Teaching and learning styles in engineering education," in 2008 38th Annual Frontiers in Education Conference, 2008.[7] D. Rohrer and H. Pashler, "Learning Styles: Where's the Evidence?.," Online Submission, vol. 46, p. 634–635, 2012.[8] J
dispositional changes in STEM self-efficacy and identity.Students completed surveys and reflections at multiple points throughout their internship,including a retrospective pre/post survey capturing dispositional shifts during the experience.The results of the internship experience on student intern participants educational andprofessional plans at the 3 sites are evaluated in this paper. Results show significant gains onitems related to professional discernment (desire to work in a STEM field, use technical skills,on open ended problems for the betterment of society) for participants at all sites. Additionally,there are differences by gender.OverviewBeginning in 2015, the College of Engineering researchers and staff at UNIVERSITYdeveloped, piloted
belief as to how well one will perform in a givenactivity or task [11]. Competency beliefs are frequently grounded in self-efficacy theory [14],which mediates the connection between positive feedback and better academic achievement [15].While competency beliefs focus on a person’s ability to do a task or engage in an activity, valuebeliefs focus on an individual’s desire to engage (or the relevance of engaging) in an activity ortask. Key retention barriers associated with value beliefs include perceptions of attainment value,utility value, and interest value, which is the motivational construct under investigation in thisstudy. In the current study, interest refers to “student beliefs related to the enjoyability,significance and/or usefulness of
resources must be invested while doing the task)[12].Viewing doctoral attrition through the lens of EVT allows us to map graduate students’ concernswith each one of the STVs. For instance, the connection between a sense of belonging and self-efficacy can be observed in the attainment STV. Additionally, doctoral students need to bewilling to persist to engage in tasks and spend time and effort, two traits that map with theintrinsic and the cost STV [6]. Finally, the role of peers and faculty relationships as part of thestudent’s daily life (i.e. socialization) during their doctoral degree process, can be linked withintrinsic, attainment, and utility [1].Expectancy Value Theory and Engineering EducationIn a review of the application of EVT within
of a physical prototypehas been shown to improve basic engineering skills, viz. spatial visualization, and increasestudent interest and retention in the discipline. FYE courses are frequently taught in large-enrollment settings, which adds logistical complexity to supplying and supervising hands-onprototyping across a large number of students. Lastly, engineering design challenges must bethoughtfully scaffolded in FYE courses to help novice students navigate complex, longer-termprojects in a team-based setting. Prior work by our group and others [Authors 2018, 2019,citation redacted for review] have shown unequal distribution of tasks on team-based projects,caused in part by differences in self-efficacy and prior experiences. This effect can
(Evaluation).” 2017 ASEE Annual Conference & Exposition Proceedings, doi:10.18260/1-2--28122.[12] Blotnicky, Karen A., et al. “A Study of the Correlation between STEM Career Knowledge, Mathematics Self-Efficacy, Career Interests, and Career Activities on the Likelihood of Pursuing a STEM Career among Middle School Students.” International Journal of STEM Education, vol. 5, no. 1, 2018, doi:10.1186/s40594-018-0118-3.[13] Prima, E C, et al. “STEM Learning on Electricity Using Arduino-Phet Based Experiment to Improve 8th Grade Students’ STEM Literacy.” Journal of Physics: Conference Series, vol. 1013, 2018, p. 012030., doi:10.1088/1742-6596/1013/1/012030.[14] Herger, Lorraine M., and Mercy Bodarky. “Engaging
eliminating the time and cost of travel, this project will enable populations thatmight otherwise be limited in attendance such as professional-track faculty, teaching focused faculty,community college faculty, adjunct faculty.IntroductionThe Skillful Learning Institute (SLI) is preparing a virtual short course experience for 25-30 engineeringeducators to expand the explicit engagement of engineering students in their metacognitive development,which is currently lacking. Metacognition is instrumental in being able to independently assess and directone’s learning - a lifelong skill to propel ongoing growth and development. As such, metacognition isimportant for engineers because it empowers them (i.e., builds their agency and self-efficacy) to
learning was takingplace, or at the end of the lecture/lab session, students were prompted to reflect on each lecture oractivity they were exposed to. Their feedback helped us to revise our scheduling and plan for thenext lecture/hands-on activity and make changes as necessary. To get a better understanding onthe students’ expectations and their learning goals, we asked the students about their favoritesubject areas and academic as well as career goals.Program’s Assessment (provided by the program’s Administration)All faculty submit an assessment (self-efficacy, self-reflection, creativity and innovation,collaboration/teamwork, problem solving/critical thinking, etc.) on every student on their roster.Students complete a faculty evaluation and
provide opportunities for growth in STEM of allthe participants (i.e., high school, undergraduate, and graduate student), but to alsoimprove their confidence (self-efficacy) and identity as someone who belonged in STEM. Inaddition to the professional development activities, the structure of WRAMP culminates ina team poster and presentation of the research work. With only a semester (~10-14 weeks)timeframe, much of the presentation is centered on what the HS and UG learned and thelab skills they developed (e.g., taking data, using special microscopes). They present totheir peers and parents during the WRAMP closing ceremonies. Here, the mentees shineby sharing their newly gained knowledge and skills to others. They realize how far they’vecome from
and URM who passed the test increased dramatically by the end of the semester,closing the gap in spatial ability initially observed at the start of the semester.Students who did not attend the workshop also showed significant increases in their test scores however.This result could indicate that completing the graphics course yields similar improvements in spatial skillsas completing the workshop. The question then arises: what advantage does the workshop provide overthe engineering graphics course itself? If significant improvements in spatial ability can be made after a 4-week workshop session, in comparison to a 14-week graphics course, the workshop could have a positiveoutcome in student self-efficacy and potentially stronger learning
development and application of instructional practices that provide benefits secondary to learning (i.e., in addition to learning), such as those that facilitate in learners increased self-efficacy, increased retention/graduation rate, increased matriculation into the workforce, and/or development of professional identity. American c Society for Engineering Education, 2021 [Work in Progress] Iterative development of an IT solution supporting Early Learning Standards AbstractThis work-in-progress paper details the efforts of a small team of undergraduate students majoringin Computer Science as
becompetitive in the entry-level job market with over 78% of respondents selecting these asimportant or very important (Figure 1). In comparison, study abroad experience was onlyselected by 7% of respondents as important or very important. Compared to reported data in theliterature, the value of some type of work experience for recent graduates’ employability issimilar. Stiwne and Jungert (2010), for instance, discussed the importance that engineeringgraduates placed on being able to carry out thesis projects at firms. This was not only for theexperience, but also to develop key skills for the workplace, such as subject-specific knowledge,self-efficacy, and time management skills. A similar study looked at how the experientiallearning that takes place
students’ ability to make decisions that are both integrative andinclusive (Hesse-Biber and Leavy, 2011). These interviews will also capture details about groupdynamics, engagement, self-efficacy, and cultural competency; each consenting student willanswer similar questions during recorded interviews. These interview reflections will serve as atool to enhance student metacognition while simultaneously serving as a form of triangulation tocorroborate other methods of assessment (Hesse-Biber and Leavy, 2011). We will use a contentanalysis methodology to extract behavioral data from student final reports, including argumentsand decision-making processes, to validate our qualitative data. Additionally, we will useaggregated qualitative information
this paper, the impact of the Engineering Ambassador Program (EAP), which engagesundergraduate engineering students as Ambassadors in K-12 outreach activities, on the stimulationof interest in STEM, self-efficacy, and actual academic attainment of Ambassadors is presented.The collected data over several years reveals that over 2/3 of activity leaders and projectcoordinators of the EAP at Howard University (HU) expressed higher confidence in their ability inunderstanding and succeeding in engineering because of their EAP experience. Also, the activityleaders and project coordinators achieved higher major and overall grade point averages (GPAs).Furthermore, improved academic performance in the courses related to the projects thatAmbassadors were
learningexercises such as peer-to-peer learning, solving procedural problems, outlining solutions to open-ended problems that are ill-defined, may need assumptions and additional data from reliablesources. Because of the displacement of class time due to active learning, some content on atopic is pushed to out-of-class time to foster self-efficacy and life-long learning skills. Thegraded assessment includes weekly automatically graded online quizzes, two main projects,special assignments such as open-ended problems, four tests, and a final examination. Non-graded assignments include multiple-choice questions and selected problems from the textbook.The experimental group MBLG is a modified version of the BLG. The MBLG is different onlyin the following three
tracked for five semestersbeyond.Foundationally, this engineering major discernment study is theoretically founded in SocialCognitive Career Theory (SCCT) to consider students decisions14-15. SCCT is used to evaluate thegoals, outcomes expectations, and self-efficacy beliefs14. An engineering education based studyon engineering major discernment used SCCT by VanDeGrift and Lao reported that courseprojects, faculty advisory interactions, and other laboratory experiences were influential inengineering major selection. The current study expects to reveal that other targeted courseexperiences would likewise influence students16.Research Questions: 1. How effective is the engineering informed decision making module at meeting its intended goals
promote effective knowledge construction (i.e., mentalprocess in which a learner takes many separate pieces of information and usesthem to build an overall understanding or interpretation), skill mastery (i.e.,learning a skill thoroughly), learning transfer, and motivational aspects associatedwith effective learning, such as self-efficacy (i.e., belief that one is capable ofexecuting certain tasks and achieving certain goals) and mastery orientation (i.e.,belief that one is capable of accomplishing challenging tasks) [10].With a digital twin, students can get immediate feedback on system behavior (inresponse to what-if injects), identify issues, and develop a mental model for howthe physical twin is likely to perform in the real-world under
Press.Ibarra, H. (2003). Working Identity. Cambridge: Harvard Business School Press.Little, B. R. (2011). Personal Projects and Free Traits: Personality and Motivation Reconsidered. ThousandOaks, CA: Sage.Mauer, René et. al. (2009). Self-Efficacy: Conditioning the Entrepreneurial Mindset. International Studies inEntrepreneurship, 24, 233-257.Shepherd, Dean A. et. al. (2010). Entrepreneurial Spirals: Deviation-Amplifying Loops of an EntrepreneurialMindset and Organizational Culture. Entrepreneurship: Theory and Practice, 34, 59-82.Suchman, L. (1987). Plans and Situated Actions. Cambridge: Cambridge University Press Page 26.575.10Weick, K
Experimental Social Psychology, Vol. 38, pp. 69-119 (2006). 5. Sheeran, P., “Intention-behavior relations: A conceptual and empirical review,” in W. Stroebe and M. Hewstone (Eds.), European Review of Social Psychology (Vol. 12, pp. 1-30). New York: Wiley (2002). 6. Irvine, A. B., Ary, D. V., Grove, D. A., & Gilfillan-Morton, L., “The effectiveness of an interactive multimedia program to influence eating habits,” Health Education Research, Vol. 19, pp. 290 –305 (2004). 7. Luszcyznska, A., & Schwarzer, R., “Planning and self-efficacy in the adoption and maintenance of breast self-examination: A longitudinal study on self-regulatory cognitions,” Psychology and Health, Vol. 18, pp. 93–108 (2003). 8
implicitlearning.There has been little to no work done to understand how learners learn in Makerspaces, andto find or develop tools to assess this learning. In the recent ASEE conference Morocz et al.11 presented plans of measuring the impacts of a university makerspace “through engineeringdesign self-efficacy, retention in the engineering major; and idea generation ability".A study by the Maker Ed Open Portfolio Project 12 strengthens the promise of our proposal toemploy self-reflection to assess learning in Makerspaces. This work presents self-reporteddata by Makerspaces all over the United States about their alignment with nationaleducational initiatives. Most sites reported themselves as being aligned with STEM (94%)(Science, technology, engineering, and
process,communication skills, and research self-efficacy [2-4].In order to provide multidisciplinary, authentic research opportunities for undergraduate studentsat all academic levels, from institutions without significant resarch activity, and from groupstraditionally underrrepresented in STEM, two NSF-funded Engineering Research Centers(ERCs) put forth a joint Research Experiences for Undergraduates (REU) site addressing theNational Academy of Engineering’s grand engineering challenges [5]. This REU experience isdesigned to give students a multidisciplinary perspective on the global energy challenge. In-depth research topics ranging from nano-scale human body energy harvesting all the way tomanaging distribution of energy on the grid are
associated with metacognitive reflection. Confidence relates tothe “I Can” factor in Wankat and Oreovicz’s [6] problem-solving model. Woods et al. [7] [8] alsoinclude being positive, motivated, and confident among the characteristics of successful problemsolvers, as do other educators with an interest in improving the confidence (or self-efficacy) ofengineering problem solvers [9] [10]. Lester et al. [11] suggested that “students’ success or failure insolving a problem often is as much a matter of self-confidence, motivation, perseverance, and manyother noncognitive traits, as the mathematical knowledge they possess” (p. 75).We incorporated the metacognitive and affective factors of reflection and confidence into a requiredchemical engineering
Visualization Effectiveness Using EEG and Cognitive Load. Eurographics, 2011. 30(3): p. 791-800.16. Guttormsen, S. and P.G. Zimmerman, Investigating Means to Reduce Cognitive Load from Animations: Applying Differentiated Measures of Knowledge Representation. Journal of Research on Technology in Education, 2007. 40(1): p. 64-78.17. Baddeley, A., Working Memory: Looking Back and Looking Forward. Nature Reviews: Neuroscience, 2003. 4: p. 829-839.18. Hoffman, B. and G. Schraw, The influence of self-efficacy and working memory capacity on problem solving efficiency. Learning and Individual Differences, 2009. 19: p. 91-100.19. Hoffman, B. and G. Schraw, Conceptions of Efficiency: Applications in Learning and Problem
- Visualization of Rotations: Mental Rotation Test and the MotivatedStrategies for Learning Questionnaire (MSLQ) Attitude Survey were paired and administeredto university undergraduate technology, engineering, and design education and engineeringstudents. Similarly, a determination of student intrinsic goal orientation, extrinsic goalorientation, task value, control of learning beliefs, self-efficacy learning performance, andtest anxiety was conducted and paired with abilities of students to visualize rotated three-dimensional objects to highlight associations/relationships among student motivation andlearning and mental rotation ability. The supplemental study data collection allowed forsubgroup investigation of the at-risk population, therefore
and staff validation, financialknowledge, motivation and self-efficacy, and social support [8], [9], [10], [17]. This theory isunique in its integration of various forms of capital which include human capital, social capital,community and cultural wealth, and experiential capital to name a few [9], [10], [18], [19], [20],[21]. Prior research has unfortunately assumed that unsuccessful, disadvantaged, and/orunderrepresented transfer students are absent or lacking in knowledge, qualities, experiences,and/or resources needed to be successful in the transfer process [18], [22], [23]. The shift from adeficit-based focus to weaving together forms of capital highlights one of the most significantstrengths of this framework, which is the facilitation
participants being on campus, a week one activity surveyconducted at the end of the first week; a week two activity survey conducted at theclosing session; and a post focus group that occurred within the last 24-48 hours of theparticipants being on campus. The week one and week two activity surveys are meant tocapture the interactive hands-on and informational activities students experience duringthe first and second weeks.Additionally, pre and post-surveys use measures following the F-PIPES (Fit of PersonalInterests and Perceptions of Engineering) [8] instrument, which measures perceptions ofengineering. The STEM-CIS (STEM Career Interest Survey) [9] tool measures self-efficacy and interest in STEM classes and careers. The post-surveys include
," Quinnipiac Chronicle, 13 February 2018. [Online]. Available: https://quchronicle.com/61954/news/girls-who-code- extends-program-to-university/.[16] Q. Today, "Inspiring the future generation of female coders," Quinnipiac Today, March 2022. [Online]. Available: https://www.qu.edu/quinnipiac-today/inspiring-the-future- generation-of-female-coders-2022-03-08/.[17] J. M. Blaney and J. G. Stout, "Examining the Relationship between Introductory Computing Course Experiences, Self-Efficacy, and Belonging among First-Generation College Women," in 48th SIGCSE Technical Symposium on Computer Science Education, Seattle. WA, USA, 2017.
careers. Pilot testing of the E2 curriculum in area schools demonstrated significantgains in 5th grade students’ understanding about the (a) work of an engineer, (b) the human-designed world, and (c) overall engineering career attitudes (Colston et al., 2017). Additionally,E2 training workshops had positive effects on preservice elementary teachers teachingengineering self-efficacy and understanding of the work of an engineer (Ivey, Thomas, Colston,Ley, & Utley, 2014). This companion article synthesizes the findings from a formativeevaluation of the E2 curriculum following implementation in 5th grade classrooms. Participantteachers attended a training workshop, implemented the curriculum, and then reported about thelesson implementation