, especiallyamong engineering students. Research highlights the influence of fear of failure on students,particularly women, pointing to factors like self-efficacy, gender role conflict, and the learningenvironment's perceived nature [12,13]. The intergenerational transmission of fear of failure [14]and the dual role of this fear as both a hindrance and a motivator [15, 16] emphasizes thecomplexity of navigating failure in educational settings. The influence of educators' attitudestowards failure [17] further illustrates the need for pedagogical strategies that reshape students'perceptions of failure, promoting resilience and a success-oriented mindset.Risk-taking, as an integral aspect of engineering education, demands a comprehensive approachto encourage
-427.[14] Dunsworth, Q., & Atkinson, R. K. (2007). Fostering multimedia learning of science: Exploring the role of an animated agent’s image. Computers and Education, 49, 677-690.[15] Yung, H.I. (2009). Effects of an animated pedagogical agent with instructional strategies in multimedia learning, Journal of Educational Multimedia and Hypermedia. 18(4), 453-466.[16] Murray, M., & Tenenbaum, G. (2010). Computerized pedagogical agents as an educational means for developing physical self-efficacy and encouraging activity in youth. Journal of Educational Computing and Research. 42(3), 267-283.[17] Moreno R., Reisslein, M., & Ozogul, G. (2010). Using virtual peers to guide visual attention during learning: A test
problem-solving.First-year experience (FYE) courses, aimed at easing transitions and fostering student success,have increasingly found a valuable partner in EML. EML can benefit FYE courses in diverseways: • Developing self-efficacy: FYE courses can incorporate EML, allowing students to identify opportunities, work collaboratively, and learn from failures, boosting their confidence and self-efficacy. • Building interdisciplinary connections: EML tasks can naturally weave in diverse disciplines, mirroring the interconnectedness of real-world challenges. FYE courses can leverage this feature to encourage students to appreciate the value of interdisciplinary thinking. • Fostering adaptability and resilience
taking oral assessments made them more comfortable (or more likely)to reach out to the instructional team for help through office hours, email, or other methods. It isimportant to note, however, that the instructional team found a flaw in the survey in that there isno baseline to compare students’ comfort level reaching out since we don’t have pre-oral examdata on this measure. It is possible that some students who did not claim they were morecomfortable could have done so because they were comfortable in the first place. In the next datacollection phase, a new question will be added to the pre-survey to ask students their level ofcomfort as a baseline.Confidence and Self-Efficacy Figure 5. End of Quarter Survey: Impact on Confidence in
Transitions: Students Draw Their Futures. In Proceedings of the Frontiers in Education Conference. October, Tempe, Arizona, October, 1999.[18] McClelland, D. C., & Boyatzis, R. E. Leadership motive pattern and long-term success in management, Journal of Applied Psychology, 67, 1982, pp 737-743.[19] McClelland, D., Power: the inner experience. Van Nostrand: New York, 1964.[20] Schar, M. Chen, H., Sheppard, S. Innovation Self-Efficacy: A Very Brief Measure for Engineering Students. ASEE Proceedings and Conference, Indianapolis, Indiana. June. 2017.[21] Smith, K. et al. Connecting and expanding the engineering education research and innovation special session. FIE, Oct. 2011.[22] Taylor, S. & Karanian, B. Working Connection
Paper ID #43539Validating Assessment Instruments for Use in Engineering Education: A Primerfor Conducting and Interpreting Factor AnalysisDr. Susan L. Amato-Henderson, Michigan Technological University Susan Amato-Henderson is an Associate Professor Emeritus of Psychology in the Department of Cognitive and Learning Sciences at Michigan Technological University. She received her Ph.D. in Experimental Psychology from the University of North Dakota. Her research interests broadly include STEM education, and focus on individual differences in terms of motivation, self-regulated learning, self-efficacy, grit, resilience, and
frequentinteractions between students and faculty. For example, Allen et al. [11] found that students whoexperience more interactions with their instructors report higher levels of self-efficacy as well asincreased persistence in education. They further noted that student performance was mostpositively correlated with the number of visits between students and faculty during an academicterm and the total amount of time in which they interacted.While students generally perceive teacher-student interactions to be valuable, Briody et al. [12]noted that research-intensive universities tend to have the lowest teacher-student interactionrates. In their qualitative study on engineering faculty, staff, and students, they described howsuch low rates of interaction
students to be more reflective in later courses?IntroductionThis work in progress paper assesses whether a first-year ePortfolio experience promotes betterreflection in subsequent engineering courses. While reflection is vital to promote learning,historically, reflection receives less attention in engineering education when compared to otherfields [1]. Yet, cultivating more reflective engineers yields several important benefits includingbuilding self-efficacy and empowering student agency. Through continued practice, engineeringstudents can develop a habit of reflective thinking which increases students’ ability to transferknowledge across contexts. The adoption of ePortfolios is becoming an increasingly popularstrategy to improve student learning
perceived utility of differentinstructional strategies, on a scale of 1 to 4, with 4 being the most useful. The results of thisstudy show that students perceived the lecture format (3.76) and feedback on reports (3.71)among the most helpful of the instructional strategies implemented. This may be because thelecture used exemplars of student work to model good communication skills. The use of peermodels may have contributed to students’ motivation and self-efficacy (Schunk 2007).Additionally, the lecture, which was integrated into the engineering course and delivered by theengineering instructor, may have provided students an opportunity to see connections betweenunderstanding of content and expression of that content. Students also cited the small
60minutes in length were conducted with four current or former CPMs. Interview questions askedstudents to describe how they approached narrowing down needs, developed clinical handbooksand videos, identified and scoped clinical problems, and assisted clinicians with their designproject proposals in order to investigate what students learned from their experience.The interview protocol was developed through multiple iterations and included additionalquestions probing rationale for program participation, expectations, and career goals to elucidatethe students’ expectancy, values, and self-efficacy about their experiences [2, 3, 4]. Samplequestions from the interview are listed in Table 2. Table 2: Types of questions asked
of here than we have to. I mean not in a bad way like I equipment for personal projects, love this space.” ease in learning, application of Student: “So I'd really like to come in and make skills, enthusiasm, engagement, something I've just been busy you know.” self-efficacy, struggle, creative Director: “It's people that I see here on a daily basis expression coming in utilizing the equipment, having that spark, that desire to be here.” Affordances and Student independence, Student: “… and then timing management is, well like
, conducteda longitudinal study to determine if a summer camp was effective in increasing the interest andunderstanding of the engineering profession and in developing self-efficacy in engineering forfemale camp participants. Results of this study showed that this camp was successful in meetingthese goals and also served as a successful recruitment tool for the host university.38 Otherresearch suggests that engineering projects that show the humanitarian side or social relevance ofengineering have been effective at attracting and retaining females.52-54Although many universities are engaged in engineering outreach, there are several barriers thatmake it difficult for universities to offer effective outreach to a large number of K-12 students
needs of underrepresented students. The project design is grounded ineducational theories including retention/integration, cumulative advantage, engagement, andconstructivism. It incorporates established best practices for working with URM students such asSTEM identity formation through experiential programs including student research andinternships, a focus on critical junctures, training of faculty and staff to enhance culturalcompetency, and building of academic integration and STEM self-efficacy. An extensiveevaluation plan designed around the project logic model will be used as the basis for projectassessment. This paper includes a description of the project, partner institutions, and first yearresearch and evaluation results.Introduction
movesFigure 1: List of common problem-solving heuristics referenced in Problem Solving in ComputerScience courseStudents reported feeling intimidated, needing to teach themselves material required for courses,and that there was distance between students who had computing as a hobby and those who didnot 2 . Students identified tinkering and previous experience as an important part of feelingsuccessful in computer science. We are motivated to build students’ confidence and help thempersist in the field. We are inspired by previous work demonstrating that students’ sense of CSidentity, belonging, and self-efficacy is correlated with success 39,23,24 , and that tinkering andskill-building can improve these feelings 38 . We consider students’ comfort in a
, “ProfessionalIdentity Formation and Development in HBCU Construction,” Proceedings of the 2019American Society for Engineering Education (ASEE) conference, Tampa, Florida, USA, June 16– 19, 2019, 2019, pp. 1-16.A. N. Ofori-Boadu, D. Deng, C. Stevens, K. Gore, and I. Borders-Taylor, “Learning Experiencesand Self-efficacy of Minority Middle-School Girls during a ‘Bio-char Modified Cement Paste’Research Program at an HBCU,” Proceedings of the 2019 American Society for EngineeringEducation (ASEE) conference, Tampa, Florida, USA, June 16 – 19, 2019, 2019, pp. 1-16.A. N. Ofori-Boadu, R. B. Pyle, I. Borders-Taylor, C. Bock-Hyeng, and T. Graham, “AdvancingHBCU Students’ Interests in Residential Construction Careers through an NAHB program: AnIndustry-University
be a powerful tool for increasing self-efficacy and experience by allowingstudents to define their own roles on teams. However, despite the literature supportingteam-based learning, it is not a universally positive experience for all students, particularly incases where team difficulties may intensify pre-existing inequities in the classroom. Becausestudents composing a team can come from vastly different academic backgrounds with differentlevels of experience with engineering, a team’s overall performance may be linked to theperformance of students on individual assignments.In this paper, we investigate how individual student performance is related to overall studentteam performance in a first-year engineering design-build-test-communicate
function of many interacting factors. For the early career choice, the SCCTmodel indicates learning outcomes, self-efficacy, outcome expectations, and interests are keyfactors in determining initial goals 6. Figure 1 (used with permission) shows the SCCT model 6, 7.The choice of an engineering career is related to the individual’s belief that he or she has 1) theskills, knowledge, and support to be an engineer, 2) belief and confidence to be an engineer, 3)expectations of the rewards of an engineering career, and 4) an interest to do the kinds of thingsthat engineers do. Page 25.1326.3 Figure 1: Lent, Brown, and Hackett’s SCCT
. (2006). PISA Database: Interactive Data Selection (United States by Sex) Retrieved 11/24/2010, from http://pisa2006.acer.edu.au/interactive.phpPage, M. C., Bailey, L. E., & Van Delinder, J. (2009). The Blue Blazer Club: Masculine Hegemony in Science, Technology, Engineering, and Math Fields. Forum on Public Policy Online.Pajares, F. (1996). Self-Efficacy Beliefs and Mathematical Problem-Solving of Gifted Students. Contemporary Educational Psychology, 21(4), 325-344. doi: DOI: 10.1006/ceps.1996.0025Pajares, F. (Ed.). (2005). Gender Differences in mathematics self-efficacy beliefs. Boston: Cambridge University Press.Parker, W., & Jarolimek, J. (1997). Social studies in elementary education: Prentice-Hall
%) said that there was an even number of boys and girls in their math classes. Boys werepredominant in 30% of the FIRSTE group responses and 39% of the control group, and girlswere predominant in 13% of the FIRSTE group responses and .04% of the control group. Giventhe body of research stating that boys outperformed girls consistently at the high school level ofmath and science in the 1980s, this is a significant testament to the work that has been done atdeprogramming gendered tracks in high school. Numbers alone do not ensure equal treatment, ofcourse. One study of parents teaching their kids showed that even though “there were nodifferences between girls and boys in their grades, interest, or self-efficacy in science…there wasstrong indication
Black students in the U.S. attended a HBCUs in 200725. TheseHBCUs represent 104 colleges and universities that are federally-recognized MSIs establishedprior to 1964 with a primary mission to educate African Americans. Although HSIs werefederally-recognized more recently in 1992, HSIs enroll nearly 65% of all Hispanic collegestudents and nearly one-third of all U.S. underrepresented students11.Theoretical Framework The current study utilizes Social Cognitive Career Theory21 as a framework tohighlight the significance of social support and barriers for underrepresented engineeringstudents. SCCT builds on Albert Bandura‘s Social Cognitive Theory1 which emphasizes therelationship between social interaction and self-efficacy. SCCT not only
theindustry professionals are too removed from the first-year student experience to be helpful [19].The mentorship program at West Virginia University transitioned away from industry mentorsfor first-year students as they reflected that first-year students were not yet ready to interact withexperienced industry professionals [11]. Success in the early mentorship programs is often evaluated with surveys for self-efficacy,identity, social community, and/or sense of belonging [2,3,5,7,8,20], or with analysis ofacademic grades or retention in the program [5,8,16]. While mentorship programs are often totedas successful anecdotally, the data is not always as clear to indicate the benefits when comparedto those students not participating. Sense of
Into Results: A Guide to Selecting the Right Performance Solutions. Atlanta, GA.: CEP Press. 17. Shuman, L. J., Besterfield-Sacre, M. and J. McGourty, 2005, “The ABET Professionals Skills – Can they be taught? Can they be assessed?” Journal of Engineering Education, Vol. 94, No. 1, pp. 41-56. 18. Hutchison, M.A., Follman, D. K., Sumpter, M., and Bodner, G. M. 2004. “Factors influencing the self-efficacy beliefs of first year engineering students.” Journal of Engineering Education. Vol. 101. 1. 39-47. Page 13.505.13Sample Concept Inventory Questions1) In the figure shown below, the upper arm is fixed in a
Relationship of Prior Training and Previous teaching Experience to Self-Efficacy among Graduate Teaching Assistants. Research In Higher Education, 1994. 35: p. 481-497.15. M. Anderson, Impostors in the Temple. 1992, New York, NY: Simon & Schuster.16. J.M. Civikly and R. Hidalgo, Ta Training as Professional Mentoring, in Preparing Teaching Assistants for Instructional Roles: Supervising Tas in Communication, J.D. Nyquist and D.H. Wulff, Editors. 1992, Speech Communication Association: Annandale, VA. p. 209-213. Page 22.1097.1217. D.G. Herrington and M.B. Nakhleh, What Defines Effective Chemistry Laboratory
expectations toward performance and acquisition of skills. Eachstudent’s perception of engineering identity and engineering self-efficacy seems to influencehow students measure their performance and standing within the discipline which in turninfluences their overall development of their particular engineering identity. This cyclical loopof expectations and identity development also seems to affect the navigational pathways thatstudents plan to take as undergraduate engineering students, for better or worse.Suggestions for future workWhile the information obtained from these interviews has shed light onto the field ofengineering identity formation in relation to student expectations, there is much more work thatcould be done to better understand this
time when (an instructor) asked us to write, I was like ‘ughhh.’ Ihad no idea. I just made up something. I did not know how to tackle it. I definitely did not try inthat class.”Whether students acquire these self-concepts through exposure to stereotypes or throughunpleasant experiences in writing (e.g., “red pencil” comments and poor grades), they interferewith students’ acquisition of technical communication habits and impede writing fluency,especially critical in a career where so much rests on the ability to communicate complexconcepts accurately and clearly. As demonstrated in one review of the research on self-efficacyand writing achievement [40], self-efficacy may influence students’ choice of majors and thusengineering students may
to become accustomed to.Student comments on the course evaluation further highlight the project as a finale to thecourse, “The Gizmo project was a great way to put everything I learned to use and it wasgreat to see the kids having fun with the gizmos.” The most common criticism of theproject was the need for more time. We note that over the course of implementation, thetime devoted to the project has expended from two weeks to the present schedule, and ateach step in the process more time has been requested.To gain a better understanding of the ways in which this project impacted the educationstudents, two data sources were administered to the EDUC 344 students. First, the self-efficacy scores for the education students were measured using
online qualitative and quantitative survey whichwas designed using questions from previously published self-efficacy and teacher experienceinstruments. Participants were also invited to discuss their experiences during a virtualinterview.Results indicate that COVID-19 continued to disrupt STE teaching and learning through the2021 – 2022 academic year and that STEAM Labs, collaborative group work, and investigativeproblem solving skills were missing from STE instruction. Findings reveal that there is renewedinterest in project-based learning, inquiry-based learning, innovative pedagogy, STEAM Labsand engineering as the “keystone” to STEAM education, especially as COVID-19 healthprotocols and restrictions subside. To apply the results of this
learning, theyhave the ability to make choices and are able to manage their interaction with the learningenvironment. Empowered students generally exhibit higher levels of motivation.The usefulness component specifies that students are more motivated when they understand howcourse activities relate to their short- or long-term goals. With respect to the success componentof the model, students must believe that they can succeed if they have the required knowledgeand skills and put forth the appropriate effort. Furthermore, students are more motivated whenthey feel challenged by a task that is not too easy or too hard. Self-perceptions of competence arecentral to many motivation theories, such as self-concept theory,22 self-efficacy theory,23, 24
, interaction and participation, mentor’s inspiration,and hindrances. Another framework to determine how the students grasp the knowledge with theexisting learning method is further developed from Wagnild and Young’s resilience frameworkin 1993, which consists of emotional regulation, impulse control, optimism, the ability to analyzethe causes of problems experienced accurately, empathy, self-efficacy, and the ability to interpretand obtain positive aspects after problems [8].The most recent framework that seems to cover internal and external factors from the learningmethod, specifically from e-learning implementation and delivery, is called the TIPECframework, consisting of Technology, Individual, Pedagogy, and Enabling Conditions [9]. Thisframework