-baseddesign projects provide students with mastery experiences in their disciplines, support thedevelopment of collaboration and communication skills, and engage the novice engineer inhigher levels of thinking [11,12]. There is a growing body of research suggesting that team-based engineering design projects must be carefully designed and implemented to ensuremeaningful and equitable experiences for individual learners [12-17], particularly as it relates totask choice and self-efficacy around hands-on prototyping tasks [13,16,17]. Equitable learningexperiences on team-based projects can be promoted through various pedagogical strategies,including scaffolded assignments, regular peer evaluations, and more frequent opportunities forindividual and team
students;the positive results of internships may even be contingent on certain qualities of the experience.For example, Raelin et al 2014 showed that the increase in student self-efficacy in internshipsdepends on students feeling as though they have made an impact on their organization, had theopportunity to work in teams, and were able to apply knowledge from their majors [21].Informal evaluation and inflexibility in internships may form a barrier to student learning goals,and students are not always fully prepared for their internships [16], [22]. This is particularly aproblem since internships may be formally integrated into curricula or even take the place ofcapstone projects [23], [24].Yet despite these difficulties, internships enjoy
intended outcomes, and the context of thework in some detail.Our data regarding outcomes of the experience for both mentors and mentees come from surveysconducted at the end of the semester, though we recognize that self-reported information fromthe end of the semester is not the perfect tool[7] . In the future, we may collect informationthroughout the semester to see how students’ and mentors’ perspectives change over time.This study follows a scholarship of teaching and learning (SoTL) process. We seek to evaluatesomething we are doing in the classroom; we did not begin with a theoretical framework likeengineering self-efficacy or teaching self-efficacy, though we believe both are relevant to thisstudy.How we use peer mentors in our first year
the MSLQ were scored and assembled into fifteen groups as per [19], andincluded among other groups: intrinsic goal orientation, extrinsic goal orientation, task value,control of learning beliefs, self-efficacy for learning and performance, test anxiety, rehearsal,organization, critical thinking, time and study environment management, and peer learning forexample. Only the self-efficacy for learning (Pearson correlation = 0.31, n = 42) and time andstudy environment management (Pearson correlation = 0.37, n = 42) rose to the marginalcorrelation level with exam 1. The MSLQ was not selected as a tool for identifying at-riskstudents on two accounts. First of all, for lack of a strong correlation between the MSLQ andexam 1, it does not seem
. Introduction Engineering education has been working for decades on methods to increase students’ motivation andengagement in engineering programs. Engagement is seen as an important part of learning in engineering [1-3]as students need to feel a sense of belonging within their academic program in order to effectively develop theiridentities as engineers. Sense of belonging has been directly linked to successful academic outcomes includingpersistence, self-efficacy, and perceptions of technical competence [4-6]. In order to feel like they belong,engineering students need to have different systems in place to support and complement their formal educationin engineering classrooms. According to Allendoerfer, Wilson [6] those systems come together
of the academic rigor and transition issues they are facing. Thecombination of rigorous coursework, the freedom to try and fail, and significant peer and staffsupport allows for the failure and mastery experiences needed to develop self-efficacy and agrowth mindset.19, 24Other aspects of RESP were also designed based on a number of best practices in the field.Research demonstrates study groups are a crucial aspect of success in undergraduate STEMprograms.25 Because most students in RESP were among the most capable in their high school,few arrive at Rice having worked extensively in groups of equally capable peers. Additionally,students from groups traditionally underrepresented in STEM fields may resist asking for help soas not to confirm
engineering student motivation by providing a Motivations and Attitudes inEngineering (MAE) test to Bioengineering (BIOE) and Mechanical Engineering (ME) students.The test assessed the student’s perception of his/her present and future abilities to be successful.These students were also given an assessment pertaining to his/her problem solving self-efficacy.The additional assessment evaluated how motivation related to problem solving skills (short-term tasks) is distinct from a student’s goal of obtaining an engineering degree (long-term goals).Kirn and Benson (4) found that student perceptions of the present, future, major-relatedexpectancies, and problem-solving self-efficacy are distinct pieces of student motivation.Students who had progressed
pursuits: first year, mid-tenure (three to four years), and final year as an assistantprofessor. They determined that there exist unique challenges at each phase. First year professorscontended with the challenges of gendered and racial isolation. Mid-tenure faculty challengesconsisted of self-efficacy and lack of role clarity. Final year tenure track women that departedfrom the academe cited mismatch with their institution on the grounds of social acceptance, self-efficacy, and role clarity25. The researcher correlated social acceptance to isolation, self-efficacyto institutional fit, and role clarity to mentoring. Cultural norms in the engineering academe leadto social isolation for those that do not conform26. Tenure and Promotion
concept of persistence as amanifestation of motivation, while Graham et al 14 view motivation as a driver of studentengagement. Self-efficacy or confidence is one among several constructs underlying motivation.Additionally, our research included a consideration of the learning style preference amongst thedifferent genders and ethnic groups. In brief the following is what research suggests. First, intraditional science and engineering institutions, individual personnel success is highly regarded.However, women and underrepresented minorities commonly place high value on people andgroup-oriented activity 15. Pearson & West suggest that the traditional classroom structure isdesigned to foster independent, non-collaborative thinking and is most
enhancing services with motivational affordancesto invoke gameplay experiences and further behavioral outcomes. The main motivation is toimprove the involvement of individuals and increase their interest, engagement, andefficiency 21. People who enjoy game-based learning only exhibit an increase in satisfaction,enjoyment, and relevance to the job 22. According to the study conducted by Michele D.Dickey23 (2007), there are elements within the design of multiple online role-playing gameswhich foster intrinsic motivation while requiring players to think, plan, and act critically andstrategically. Sung and Hwang24 (2013) studied learning attitudes, motivation, and self-efficacy and found improvement in all three areas, as well as student confidence, by
., & Leifer, L. J. A1 (2005). Engineering design thinking, teaching, and 1613 learning. Journal of engineering education, 94(1), 103-120. Atman, C. J., Adams, R. S., Cardella, M. E., Turns, J., Mosborg, S., & Saleem, J. (2007). Engineering design processes: A comparison A2 433 of students and expert practitioners. Journal of engineering education, 96(4), 359-379. Carberry, A. R., Lee, H. S., & Ohland, M. W. (2010). Measuring A3 engineering design self‐efficacy. Journal of Engineering 192 Education, 99(1), 71-79
: Gender differences and interactive effects of students’ motivation, goals, and self-efficacy on performance,” in Proceedings of the 2016 ACM Conference on International Computing Education Research, ser. ICER ’16. New York, NY, USA: Association for Computing Machinery, 2016, p. 211–220. [Online]. Available: https://doi.org/10.1145/2960310.2960329 [2] B. C. Wilson and S. Shrock, “Contributing to success in an introductory computer science course: A study of twelve factors,” SIGCSE Bull., vol. 33, no. 1, p. 184–188, Feb. 2001. [Online]. Available: https://doi.org/10.1145/366413.364581 [3] D. Zingaro, M. Craig, L. Porter, B. A. Becker, Y. Cao, P. Conrad, D. Cukierman, A. Hellas, D. Loksa, and N. Thota, “Achievement goals
generally available to students of any major. Academic minors Page 24.265.4and certificate programs comprised about three-quarters of the sample; the other programs werecategorized as fellows or scholars programs, residential programs, concentrations,specializations, and tracks.There is evidence that exposing engineering students to entrepreneurship has a positive impacton the intention to become an entrepreneur, entrepreneurial self-efficacy, and better preparesthem for the contemporary workplace (Lüthje & Franke, 2004; Souitaris, Zerbinati, & Al-Laham,2007). Duval, Shartrand, & Reed-Rhoads (in press) found that senior-level engineering
programs, based on Tinto’s theory of retention. The second survey, theEngineering Fields Questionnaire was constructed and validated as described in Lent, et al.33 toprobe students’ self-efficacy, outcome expectations, and distal and proximal contextualinfluences. Participants’ demographic data was also collected.Semi-structured interviews. The one-on-one semi-structured interview design was astandardized list of questions that allowed for additional probing when deemed necessary. Thesemi-structured interviews were aligned with the survey and allowed for the collection ofspecific information related to engineering education, particularly identity development. Theresearchers were conscious of the participants’ perspective and oftentimes adjusted
engineering activities. At theend of this last year, end of grade test scores fell slightly in all subject areas. Reading decreasedby seven percentage points, math by five and science by 15 percentage points. These results arethe focus of the school improvement team’s focus for the 2011-12 year.In addition to tracking the standardized test scores, the university partner and school havecollaborated on ongoing research studying the efficacy of this approach. In the pilot year, theproject investigation used data collected from the afterschool program students to assess scienceunderstanding, engineering and design understanding, identify STEM attitudes, engineering self-efficacy, and student assessment of teacher effectiveness. Additionally, teacher
survey and interview/focus group data from VRC student participants and TeamLeaders. Early in the evaluation process, we collaborated with RECF to develop the survey, firstcreating survey matrices for the student and Team Leader surveys. The matrices included themain categories of student impact (e.g., interest in STEM, self-efficacy, engagement, teamworkand sportsmanship). Initially, we operationally defined each category, reviewing pertinentliterature as part of the process. Review of the literature helped to identify subcategories in eacharea, which we used to develop survey items to be added to the matrices. The evaluation team aswell as RECF reviewed the items to ensure they measured what we intended to measure. Surveyswere then developed
1. Briefly, the centerpiece of the program is our quarterly Success inSTEM seminar, which students take every quarter for their first two years at University ofWashington Tacoma. Through these weekly sessions, students connect with each other and withtheir faculty cohort mentor, learning to support each other through challenging times,developing a growth mindset towards their academic journey, understanding barriers that leadto equity gaps in STEM such as stereotype threat and imposter syndrome, and building a senseof belonging and self-efficacy. The seminar allows participants to explore co-curricularopportunities (e.g., student clubs), campus resources such as disability services and financial aidoffices, and career preparation, while
in both grading schemes and students perceptions on how specifications gradingaffected their learning, anxiety, and self efficacy, as collected in midterm and end of term surveys.In general, students reported feeling that the specifications grading scheme helped them learn andgave them confidence to earn their desired grade, although some students reported that thespecifications grading scheme was more stressful than traditional points-based grading. Finally,we discuss the advantages and challenges, from the instructor’s observations and perspective,associated with transitioning from a traditional points-based grading scheme to usingspecifications grading.IntroductionDifferent instructors have different perspectives on the purpose and
shared similar livedexperiences and values. For the mentee in particular, it often contributes to an improved self-efficacy and sense of belonging for those who hold marginalized identities in STEMM fields,including those who identify as women, BIPOC (Black, Indigenous, and People of Color), low-income, first-generation, neurodivergent, or as a member of the LGBTQ+ community [9].Unfortunately, the underrepresentation of these identities in university engineering facultiesoftentimes exacerbates the already reduced access to mentors with whom women doctoralcandidates can identify or share similar lived experiences. This disparity along the lines ofmarginalized identities was highlighted in an iconic study by Nettles and Millett in 2006
acceptance that a student receives from variouspersonal stakeholders, such as family, peers, and mentors. Finally, competence/performance isthe closest construct to a student’s feeling of self-efficacy and indicates their level ofself-confidence in their knowledge and abilities in computing. While the four sub-constructsmeasure distinguishable aspects of a student’s sense of identity in a field, they also influence eachother in a dynamic manner based on a student’s unique environment and context [24], a facet weindicate with bi-directional arrows.Students’ computing identity has previously been used as a measure of persistence [27] and alsotheir career choice [24]. We applied the computing identity framework to study students’ ties tothe discipline
undergraduate students are made up of engineering and computerscience majors from the university. These students are referred to the PI of the lab based on theirlevel of professionalism in the classroom, self-efficacy, time management, and overall well-rounded student. The undergraduate students are interviewed and then finally hired as studentemployees of the lab. In addition, the research assistants receive aid from the GEMS director.The curriculum of Coding Academy has traditionally centered around the basics of programmingin Python, with emphasis on the development of solid fundamental programming skills [6], [7].In the latest iteration of Coding Academy, the curriculum emphasized multiple-day projects andteamwork to capitalize on the student's
., Roey, S., & Jenkins, F. (2012). Highlights from TIMSS 2011: Mathematics and Science Achievement of US Fourth-and Eighth-Grade Students in an International Context. NCES 2013-009. National Center for Education Statistics.10. Cheema, J. R., & Kitsantas, A. (2014). Influences of disciplinary classroom climate on high school student self-efficacy and mathematics achievement: A look at gender and racial– ethnic differences. International Journal of Science and Mathematics Education, 12, 1261- 1279.11. Kang, H., & Cogan, L. (2022). The differential role of socioeconomic status in the relationship between curriculum-based mathematics and mathematics literacy: The link between TIMSS and PISA. International Journal
Tech. This program featured a ground-breaking Mobile Chemistry Laboratory, which was a 78-foot-long trailer that was fully equippedwith advanced chemistry laboratory equipment and instruments. The Mobile Chemistry Laboratorywould travel to underfunded schools and would provide students with the opportunity to performhands-on experiments and lab work using high-end pieces of apparatus, including spectrometers,pH probes, and chromatographs [10].In the work of Schmidt et al. (2020), the authors presented a STEM program focusing on improvingstudents’ interest and self-efficacy in STEM fields through a chemistry course called “Chemistry1898,” which was conducted by Tulane University. This program paired undergraduate studentsfrom Tulane University
intheir studies than students who procrastinate or have no planning and revisionstage for their writing (Sverdlik et al. 2018, p. 377-378). Finally, student successis tied to their academic identity (Sverdlik et al. 2018, p. 378-380). Students whoshow self-efficacy, that is confidence in their work, leads to positive outcomesin career trajectory and more competence in core abilities (Sverdlik et al. 2018,p. 379-380). This is also tied to student’s self-worth. Student’s who feel successas a result of their accomplishments as a graduate student are more likely tohave continued motivation (Sverdlik et al. 2018, p. 379-380). This can also,however, cause major determent to some students. Students whose identity istied to academic success and then find
identities are closely tied toengineering as a choice [3]. Performance/Competence is related to students’ self-efficacy beliefswhich have been shown to be important for identity development and engineering as a major ofchoice [24], [25]. Last, recognition refers to how others (e.g., parents, teachers, peers,instructors) view students and how this is important to engineering identity [3], [8], [26]. Theseconstructs lay the groundwork for how we position this work in progress.3. MethodologyWe approached this exploratory study from a constructivist epistemological perspective [27]using narrative inquiry [28]. Narrative inquiry is a research methodology to understand theindividual experiences of participants via conversations that are situated and
of developmental students bypromoting teamwork, peer-to-peer learning, self-efficacy, and study skills [36] - [39]. These bestpractices are integral to the success of STEM Core.STEM Core’s Strategies to Address Challenges in Broadening ParticipationCommunity colleges provide an affordable, local option for education and training. IPEDS datafrom 2018 analyzed by the American Association of Community Colleges [40], [22] show that41% of all undergraduate students are enrolled at community colleges. In addition, affordabletuition and open-access admission allow community colleges to provide important academicsupport and a “home” for underrepresented, low-income, and first-generation students. Forexample, additional data from the NACME 2014
tools that teachers themselves point out, whichis done by applying a test know as "Critical success factors in accepting the use of technology inthe classroom" [21]. This test, which has been validated by the authors, is made up of differenttest items probing on different dimensions. The following dimensions have been considered forthis study: • Performance expectations (PE): the degree to which any given individual believes that the use of technology will improve their activity performance. • Effort expectation (EE): includes aspects related to how easy and usable technology is and defined as how easy to use individuals may find the technology to be. • ICT compatibility and self-efficacy (CS): represents the teacher's
interest, but they are still severely underrepresented in the field of engineering. Priorliterature demonstrated that various factors contribute to students’ engineering career interests,such as self-efficacy and social support. Previous research also explained that students’ earlyengineering interest was the most influential predictor of their engineering major and careerchoice. Therefore, it is necessary to examine students’ engineering career interest trajectoriesprior to college to better understand how students develop or hinder their interest in anengineering career. This study answers the following research question: “Which social agentsand what communicative messages influence female students’ intentions to choose engineeringas a career at
during her doctoral studies, but also helped to remind her of her self-efficacy as astudent. She explained that conversations with her counselor helped her to realize herconfidence in her abilities, as well as recognize that her self-worth is not determined by theacquisition of the doctorate degree. With this insight from her counselor, Brandi (CTC) wasable to approach graduate school stressors with a clearer mind and continue on with thecompletion of her degree. The ways in which counseling helped three of the participants to make persistencerelated decisions is another testament to its usefulness amongst graduate WOC in STEM.Although women in STEM graduate programs are more likely to have experiences withinthat environment that threaten
women and URM students in engineering.Reference [4] lists the most common retention techniques and institutions that implemented them. Theauthors divide the strategies into three groups: student-focused, faculty-focused, and institutional anddepartment-focused strategies and provide many examples from literature and submissions frominstitutions.Blaisdell and Cosgrove explain how self-efficacy (one’s belief about how well they can perform giventask or behavior) affects women choosing engineering as their field of study and persisting in it [5]. Theyadvocate for interventions designed using the theory of self-efficacy and give an example of such aprogram. Sullivan and Davis [8] found that commitment to engineering and confidence in engineeringare