withlongitudinal data of 22,000 students that S-L had significant positive effects on 11 outcomemeasures that included: academic performance (GPA, writing skills, critical thinking skills),values (commitment to activism and to promoting racial understanding), self-efficacy, leadership(leadership activities, self-rated leadership ability, interpersonal skills), choice of a servicecareer, and plans to participate in service after college.Eyler and Giles (1999) found S-L to impact positively: personal development, interpersonaldevelopment, and community-to-college connections. Students reported working harder, beingmore curious, connecting learning to personal experience, and demonstrated deeperunderstanding of subject matter. They found that S-L is more
students were initiallyconcerned about being seen as weak students in class and felt it was important to demonstratecompetence to others. However, these two goals were significantly lower by the end of thesemester, indicating that they decided that it was not so important if people thought they wereweak students. They may also have become more willing ask for help.For the spring 2010 students, significantly higher ratings were seen for the Academic Efficiencyand the Mastery Goal Orientation constructs. This suggests that these students gainedconfidence in their ability to master difficult work, to study more effectively and in theiracademic self-efficacy
novel ways.85 In other words the theories’tenets are left unexamined (hence prepackaged), and theoretical development does not occur. Page 24.934.8Some examples of theories popular in EER that have been employed this way include self-efficacy, social capital, and some identity theories. However, as Anyon and others have argued,to deeply understand the complexities of a given phenomenon, the evidence collected should alsobe contrasted with the theory (or theories) the researcher employs.86-87 Concept matching as thedominant use of theory in engineering education is not unique: it reflects the dominant use oftheory in education research more
case study, the term learning is a student activity that may includeexplorative strategies, scheduling, or reflection. In contrast, the term instruction is a purposefulfunction of the educator to communicate with learners that often includes scaffolds such asprompting, modeling and phasing task assignments.Literature Review Page 24.1220.2 There is enduring, convincing evidence of knowledge transformation throughcollaboration. When compared to individual learning, collaborative learning has been shown tobeneficially impact learner achievement, self-efficacy, and relationships among learners4. In areview of 168 studies contrasting
Engineering Beer’s Law ModuleDesign Process Portfolio Scoring RubricEngineering Cartilage Regeneration! Summer Physics Camp for GirlsClues to becoming a STEM Major: How the Top 5 STEM Projects in IndependentSAT Questionnaire and AP exam taking Schoolspatterns & performance can predict STEMmajorsAppendix BConcurrent Session C Concurrent Session DResearch and Curriculum: Biofilms and Inspired Design: Engaging Girls in STEMDeutschland through Product DevelopmentEngineering, implementing and assessing a Engaging Girls in STEM: What therich STEM educational experience research showsImproving Girls' Self-Efficacy Micro-messages: The
statement to their peers of their academic failures.4 Students who are notconfident in their ability to perform well in a course are more likely to seek help than their moreconfident peers.7 A 2004 study done at Texas A&M University demonstrated that students whowere more engaged in supplemental instruction had significantly lower self-efficacy, butachieved higher final course grades.7The personality of the tutor is also an important factor students consider when seeking extrahelp.5 Students feel that traits associated with a good tutor are empathy, patience, sensitivity,diplomacy, friendliness, intuitiveness, supportiveness, responsiveness, and care.8 If students feelthat tutors are arrogant or not empathetic to their concerns, they are
aside the part of themselves that wants to be a "teacher" in favor ofbecoming a "researcher." Since "good teaching comes from the identity and the integrity of theteacher." [1], overlooking teacher identity could negatively impact the academic experiences ofengineering students. In general, identity studies have become more prevalent in engineeringeducation research, particularly as they relate to engineering identity or other related roleidentities such as research, math, or physics [2], [3], [4]. Identification with a role or profession,such as engineering, contributes to motivation, self-efficacy, and improved performance in thoseroles [5]. Understanding engineering graduate students' identification with the role of teacher andhow that
explore the long-term effects on student learning and faculty researchproductivity.INTRODUCTIONIntegrating research into undergraduate engineering pedagogy has many benefits, includingimproving both students’ technical skills and self-efficacy [1]. Studies have shown that studentswho participate in undergraduate research have more enthusiasm towards STEM research, reportincreased feelings of belonging in their field, and demonstrate improvement in their ability tothink like a scientist [2], [3]. These benefits are especially meaningful in the case of developingunderrepresented or minority students [4], [5], [6]. Undergraduate research experiences also leadto greater retention rates [7], more students pursuing graduate level education [8], [9
needed to solve problems. Competitions provide an avenue to learnmany other ‘soft skills’ that are not the focus in most engineering curricula [16, 17, 9]. Inaddition, competition projects provide intrinsic benefits such as an increased sense of belongingand community, increased sense of self-efficacy and accomplishment, broadening participationof underrepresented groups (particularly women), increased self-drive, and improvedmanagement skills [18]. Furthermore, participation in innovative competitions has shownincreases in creativity, initiative, leadership, and entrepreneurial spirit [19]. Students enjoy theopportunity to gain recognition for the work they have done and receive feedback fromprofessional engineers [17]. Many students also have
teaching, learning, and retention of first year students. J. Fac. Dev. 21(1), pp. 5-21.[37] J. MacGregor, J. L. Cooper, K. A. Smith, and P. Robinson, Editors. (2000). Strategies for energizing large classes: From small groups to learning communities. New Dir. Teach. Learn. 81.[38] M. M. Jameson and B. R. Fusco. (2014). Math anxiety, math self-concept, and math self-efficacy in adult learners compared to traditional undergraduate students. Adult Educ. Quart. 64(4), pp. 306-322.[39] M. Dang and K. Nylund-Gibson. (2017). Connecting math attitudes with STEM career attainment: A latent class analysis approach. Teach. Coll. Rec. 119(6), pp. 1-38.[40] H. M. Watt, J. S. Hyde, J. Petersen, Z. A. Morris, C. S. Rozek
entrepreneurs of 21st century: Literature review,” J. Manage. Sci., vol.media, websites, and blogs, while supporting sustainable 21, no. 1, p. 16, 2023.expansion and social justice efforts. These conclusions are [18] N. A. A. Abdelwahed, B. A. Soomro, N. Shah, and U. N. Saraih,based on the literature review but may evolve due to the rapid “Effect of institutional support and entrepreneurial knowledge on women’s entrepreneurial self-efficacy and venture performance in atransformation of Saudi Arabia, particularly in women’s developing country,” Int. J. Innov
mentorship. Observingher siblings' success provided her with tangible examples of academic achievement and timemanagement, reinforcing her sense of belonging and self-efficacy in STEM. This aligns withpsychosocial support functions in mentoring theory, where mentors help mentees developconfidence and manage stress.Subtheme 2: Providing Mentorship to Younger SiblingsWhile many students received mentorship from older siblings, others found themselvestransitioning into the role of mentor for their younger siblings. This shift was particularlysignificant as it reinforced their own academic knowledge and leadership skills.For instance, Savannah described her experience mentoring her younger brother: Cole is a junior in high school, I think. And
about the FWV on day one of class in a video that setsthe stage for an exploratory semester of learning. The findings showed that 59% chose FWV-related resources over the traditional readings, which is an extremely high level of engagement.In-class assignments regarding FWV scenarios, like the Floating City, created a real atmosphereof creativity and investigation.Bielefeldt [4] also pointed out the motivational theories of the course design. Using theExpectancy Value Theory, a mix of self-efficacy, intrinsic interest, and utility values promotedstudent motivation. The choice was a valued factor to be used for increasing engagement.Students could choose contexts or themes that meant something to them, which gave a degree ofautonomy- a
. Research-driven academic cultures often prioritize productivity over teachingexcellence, creating systemic disincentives for pedagogical innovation [7]. Faculty facechallenges balancing their research responsibilities, administrative duties, and the effort requiredto redesign courses and implement new instructional strategies [8]. Individual barriers, includingfear of failure and lack of self-efficacy, further complicate the adoption of EBIPs [6]. Manyengineering faculty members lack formal training in pedagogy, relying on their own pastlearning experiences to guide their teaching methods [9]. Furthermore, the technical nature ofengineering disciplines, with their emphasis on content depth, and departmental cultures resistantto change create
veteran Veteran veteran + GZT + No Recogn + GZT + No GZT GZT Non-Vet 2.503 1.938 2.575 Non-Vet 2.343 1.938 2.394 Level 1 2.091 2.537 Level 1 2.000 2.111 Level 2 1.600 2.561 Level 2 1.800 2.621DiscussionNegative perceptions about student veterans can affect how faculty and staff interact with studentveterans and non-veteran students, alike. Although this study does not investigate the extent thatnegative perceptions affect student veteran performance, self-efficacy, and
]. It promotes a student-centric pedagogical approach that acknowledges themultifaceted literacy practices that students contribute to the university environment and theinterpretations they attribute to academic writing [20].The ability to critically assess digital content and use it to create knowledge is increasingly linkedto academic literacy in contemporary situations [25, 26].Academic literacy capability is made up of the following elements: 1. Approaches to academic literacy encompass the development of self-evaluation, self- regulation, metacognitive skills, self-esteem, and self-efficacy as a writer. Additionally, it involves fostering persistence and tolerance for frustration [27]. 2. The ability to manage suitable
"...I don't have a fear of it, or anything ease of use effort, self-efficacy/knowledge, like that, ... but trying to figure out interaction with interface, user where the right productive middle experience, familiarity ground of where that was going to be". Output Effective, efficient, usable, higher, “...It was now feasible to use voice Quality faster, clear, correct cloning and AI-generated or synthetic voices, which are indistinguishable from the real voice”.Results and Discussion of InterviewsFindings and interpretations of data from the
Communities Brandeis University. https://www. first inspi res. org/sites/defau lt/files/uploa ds/resou rce_ libra ry/impact/first-longi tudin al-study-impactsumma ry-findi ngs-at-96-months. pdf, 2022.[4] R.-A. Popa and L. Ciascai, "Students' Attitude towards STEM Education," Acta Didactica Napocensia, vol. 10, no. 4, pp. 55-62, 2017.[5] J. Han, T. Kelley, and J. G. Knowles, "Factors Influencing Student STEM Learning: Self- Efficacy and Outcome Expectancy, 21st Century Skills, and Career Awareness," Journal for STEM Education Research, vol. 4, no. 2, pp. 117-137, 2021/09/01 2021, doi: 10.1007/s41979-021-00053-3.[6] College Board. "AP Computer Science A: Score Distributions." https
-economic disparities, inadequate K-12 preparation, and social isolation[8-9]. Studies have shown that these students often experience lower self-efficacy and a weakersense of belonging, which can negatively impact their persistence in engineering programs [10-11]. According to researchers, well-structured first-year seminar courses permit students toexperience a better transition from high school to college, understanding the new expectationsand work demands, developing time-management and study skills, particularly for students atrisk [12]. Besides, small group seminars facilitate the interaction with faculty and peers creatinga community of support leading to a better outcome of persistence and performance [13]. First-year seminars offer also an
evidence-based practices targeting the participants’ sense of belonging, self-efficacy beliefs, goal-oriented motivation, and engineering identities. With respect to engineeringidentity and recognition, the cohort program aimed to reduce barriers and create access to co-curricular activities including research and internships. Activities included career fair attendance,career panels, resume and networking workshops, and career-oriented mentoring. By graduation,11 of the 14 participants had worked at least one industry internship. Although this populationrepresents a higher percentage of students who had an internship experience compared to thenational average [38], these participants emphasize the value of these experiences when they canaccess
challenging opportunities for professional growth. Effective mentoringengagements must be within the limits of healthy mentoring relationship, defined as functionalmentoring [18]. Benefits of functional mentoring to mentees include guidance, support,feedback, and enhanced networks. The benefits from the guidance provided by mentors includeacademic guidance, career development, personal guidance, and overall aid in the socializationof the graduate student. Mentors’ correct feedback can benefit mentees by helping them survivegraduate school, promoting the professional and career development of mentee, and providingthe right directions. A longitudinal study on the effect of mentorship on the researchproductivity, career commitment, and self-efficacy of
, 2021 Community Designers: A Pilot Virtual Community Co-Design Symposium1. Introduction: Who Controls the Power of Design?What if you did not get to select your clothes? What if, instead, certain sizes, colors and styleswere assigned to you based on what’s typical for your demographic identities? Not only wouldyour clothes not fit your shape or your taste, they might even cause further social andprofessional problems. At an even deeper level, not having the autonomy to make thesedecisions would undermine your self-efficacy and your trust in the institutions that are supposedto help and support you.This scenario illustrates, by analogy, what happens to communities all the time. Policies
, can lead to better communication and trust. What emerges is a more healthy relationship.Students gain what they wanted all along - to learn what will help them later on. And faculty gainwhat they want - deeper respect from their students.The focus so far has been largely on skills and knowledge. But as we are exiting the knowledge-based world in which we were educated, attitudes and mindsets are being recognized as moreimportant factors of later success 33,34,35,36,37 . In the literature these attitudes include grit, curiosity,self-efficacy, the growth mindset and others. Whatever the makeup or nature of a mindset, mostpedagogical methods short circuit the development of these mindsets. To take one specific mindset,we know that students are
, can lead to deficit-based thinking and discriminatory behaviors [11], [13]–[15].The ideology of meritocracy also perpetuates inequities in engineering through its reliance on theconcept of “merit” to compare individuals. “Merit” is often defined as synonymous with “talent,”“achievement” and/or “hard work” [3]–[6]. The logic of meritocracy suggests that individualswho possess more “merit” deserve more rewards and opportunities [2]–[6]. However, evaluating“merit” is not a straightforward process. Attempts to do so have often reproduced existinginequalities. For instance, standardized tests such as the SAT have historically been used as aproxy measure for student merit in the context of seeking admission to selective colleges [3], [5],[6
relevant resources, which will beintroduced to all departments through an orientation and follow-up communications.Guided Engineering Apprenticeship in Research (GEAR): Launched in 2019, GEAR is ayear-long research experience for early undergraduates that aims to provide a scaffoldedexperience to support the development of students’ research self-efficacy, engineering identity,and sense of belonging and inclusion within the field--especially among underrepresented, firstgeneration, and low-income students. The program is based on the NSF-funded Early ResearchScholars Program in the Computer Science and Engineering Department [14]. Assessment of thepilot year of the GEAR program found that 1) participants gained research skills/knowledge inways
racial understanding), self-efficacy,leadership (leadership activities, self-rated leadership ability, interpersonal skills), choice of aservice career, and plans to participate in service after college. “These findings directly replicatea number of recent studies using different samples and methodologies.”(p.i) 7 They found that S-L to be significantly better in 8 out of 11 measures than just service without the courseintegration and discovered “strong support for the notion that service learning should be includedin the student’s major field.”(p.ii) 8Eyler and Giles9 in a classic study included 1500 students from 20 colleges/universities in astudy of the effect of S-L. Service-learning was found to impact positively: tolerance fordiversity
to complete it (r = .60, p < .01). Not surprisingly, studentswho planned to major in engineering/technology were much more likely to be confident in theirability to complete their degree (r = .71, p < .01). Table 3: Pearson Correlations for Students’ Perceptions of the NCJETS Clubs, Academic Self- Efficacy, and Attitudes toward Engineering/Engineering Technology Enjoy Interest Math Sci Understand Major Conf Contribute Enjoy 1 Interest .37** 1 Math .16** .16** 1 Science .18** .12* .40** 1 Understand .20** .39** .24** .30** 1 Major .13* .55** .16** .11 .45** 1
, cooperative learning, andrecruitment of under-represented groups in engineering; it also leads to better retention ofstudents, and citizenship (3), as well as helping meet the well-known ABET criteria (a)-(k) (4).Astin et al. (5) found with longitudinal data of 22,000 students that S-L had significant positive Page 14.1055.2effects on 11 outcome measures: academic performance (GPA, writing skills, critical thinkingskills), values (commitment to activism and to promoting racial understanding), self-efficacy,leadership (leadership activities, self-rated leadership ability, interpersonal skills), choice of aservice career, and plans to participate in
difficult decisions about how they allocate their time. Financialcost refers to students’ perceived challenges related to both expenses associated with doctoralstudy and opportunity costs related to devoting time to their degree instead of potentially morelucrative employment. Academic cost reflects students’ challenges related to both the culturaland academic demands associated with pursuing a doctoral degree, and does not exclusivelyreflect their sense of self-efficacy in engineering.IV. MethodsLimited empirical literature suggests returning students may face distinct challenges related totheir decisions to pursue engineering doctoral study. Our team’s prior work7, 29 suggests Eccles’expectancy-value theory is a useful lens for examining the
to create measures of neighborhood socioeconomic status for each student [19]. Otherdemographics of race/ethnicity, gender, and parent education status were collected are presentedwithin this work to inform about the study population and to support our claims of the existingunderrepresentation of minoritized groups in our data and engineering as a whole [9].Students who provided a ZIP Code and were identified as being enrolled in engineering (n = 2,372)were the focus of this study. Each student was then classified as “low,” “middle,” or “high”neighborhood socioeconomic status. Initially, we attempted to separate by average federalrepresentations of individual socioeconomic class; $0 to $39,554 (low), $39,555 to $118,072(middle), and $118,073