scholar with a peer mentor inthe same or a similar major, in addition to pairing every STEM scholar with a faculty mentor.After conducting a mentor/mentee training session, the peer mentoring teams met on a monthlybasis throughout the semester. The authors evaluated the effectiveness of the mentoringprograms through a series of pre-, mid-, and post-year assessments. The authors used acombination of assessment tools from the NSF-approved Assessing Women and Men inEngineering and the Motivated Strategies for Learning Questionnaire. These tools are designedto identify longitudinal changes in the self-efficacy of undergraduate students studyingengineering. Results obtained indicate a significant improvement in metacognitive strategies,goal
toperform successfully to achieve the best outcomes, especially in a culturally diverseenvironment.Encouragement from a mentor, supervisor or peer may also increase a faculty member’s ownconfidence, until the new faculty member can create his or her own mastery experiences and feelcompetent in them. Achieving positive outcomes also requires that educational institutions focuson faculty members’ motivation when they are having trouble working in a diverse group.Through encouragement, all faculty members in the educational institution might achievesuccess increasing their self-efficacy in the work environment. The goal of this research is toweave together ideas and strategies that will enhance cross-cultural communications and buildteam cohesiveness
and math literacy, as well as standardized test scores,as opposed to just with faculty researchers? (2) Does simultaneously performing research andmentoring HS scholars improve UG outcomes in academic and research self-efficacy, andleadership? (3) To what extent does participation in the Center for multiple years contribute toretention, graduation, and job employment outcomes? (4) To what extent does participation in aCenter with participants from all educational levels cultivate a sense of belonging among womenand minorities, and contribute to their retention and success? (5) To what extent does participationin masterclasses and research with HS and UG scholars improve a teacher’s capability to translatetheir experiences and new knowledge
, pedagogicalstrategy where mastery represents an approach-oriented goal as opposed to an avoidance-oriented goal (i.e., avoiding failure). Mastery offers the benefits of higher intrinsic motivation,enjoyment, self-efficacy, and deep learning or conceptual achievement for its own sake [8]. Incontrast, a performance-based approach emphasizes competition between students and is notonly less predictive of STEM success [8], but also less conducive in principle to a constructiveand equitable classroom culture.Discovery uses a PBL approach to encourage secondary students in Grade 11 or 12 university-preparatory biology, chemistry, or physics classes at two participating schools to develop STEMskills through iterative course-long learning. Notably, the program has
North Carolina State University. She earned a B.S. in Biological Engineering from North Carolina State University and an M.S. and Ph.D. in Biological Systems Engineering from Virginia Polytechnic Institute and State Uni- versity. Dr. Baldwin’s primary focus is working across the Colleges of Engineering and Education on engineering education related initiatives. She teaches undergraduate courses in the First Year Engineering Program and in the Department of STEM Education. Dr. Baldwin’s research interests include self- efficacy, motivation and persistence of underrepresented populations in STEM and engineering design in K-12.Dr. Lina Battestilli, North Carolina State University Lina Battestilli is Teaching
from a single university instead of multiple institutions. Including more data from differentuniversities would give more validity to the results and increase the generalizability of the study.A second shortcoming was that due to small sample sizes, only two races were included in thestudy – White and Black. Other races/ethnicities, such as Hispanic, Asian or Pacific Islander, andAmerican Indian/Alaskan Native, were not included as they collectively represented less thanfive percent of the total population of participants. Furthermore, the data used did not containvariables such as marital status, SES, self-efficacy, and transfer credit/dual enrollment. Otherstudies have indicated that these variables may have an effect on first year grades of
choosing betweenchoice of 4b. Connect modules to boost self-efficacy in an 4b. Students identifymajor engineering with engineering skill area engineering skills students' personal 4c. Mentors talk about their own they enjoy or have values majors and process of choosing learned 4c. Introduce students 4c. Student can to faculty in their explain the societal potential majors value of their
introduce skills, tools, and some engineering basics, followed by 8 weeks forstudent teams to design, build and demonstrate a prototype device. The authors noted that thechoice of project had a pivotal role in the student experience, with overly challenging orunconstrained projects having a negative impact on student interest in engineering.In an effort to acquaint freshmen with the various areas of mechanical engineering at TheCitadel, Rabb et al.12 modified an Introduction to Mechanical Engineering course to combineindividual and teamwork projects and assignments, many of which were small, hands-onactivities. Following the opinion of Vogt13 that “student self-efficacy had very strong effects oneffort and critical thinking where academic
Retention Model Based on Factors that Most Influence Student Success,” Journal of the Scholarship of Teaching and Learning, vol. 21, no. 1, Art. no. 1, May 2021, doi: 10.14434/josotl.v21i1.30273.[17] S.S. Whorton, "Academic self-efficacy, academic integration, social integration, and persistence among first-semester community college transfer students at a four-year institution" (Doctoral dissertation, Clemson University), 2009.[18] L. C. Freeman, "Social Network Analysis: Definition and History," Encyclopedia of Psychology, vol. 7., A. E. Kazdin, Ed., New York, NY, US: Oxford University Press, 2000, pp. 350-351.[19] A. Erkan, "Effects of social capital on academic success: A narrative synthesis
extend existing theories of identity in general [14] and STEM identity inparticular [15] to explicate a “Communication Theory of STEM Identities” [4-5]. Thistheoretical model is multi-layered and foregrounds interactional and relational aspects of STEMidentities. Both formal peer mentoring and informal peer relationships between Scholars (andother STEM students) were key components to their developing STEM identities. At the sametime, this theoretical model also includes layers for individual traits (e.g., STEM self-efficacy)and social identities and theorizes “gaps” in STEM identities that may pose challenges to STEMstudent success.Individual OutcomesFor each campus, brief descriptions of findings related to the unique interventions each
focus of this paper, has experiencedsimilar outcomes. A notable uptick in graduation rates at CU occurred between 2009 and 2015,with six-year degree completions reaching 62.2%, yet recent years have witnessed plateaus inretention rates. Persistent disparities befall minoritized students [1], [2]. These stagnantcompletion rates occur in the face of substantial need for increased engineering talent, bothnationally and globally, to support fields including technology, security, transportation, andinfrastructure.The causes of student attrition from engineering are multifaceted and vary across demographics.A range of known issues includes an unwelcoming climate, conceptual difficulties in corecourses that hamper progress toward degree, lack of self
students (Part II). ASEE Annual Conference and Exposition, Conference Proceedings.Shell, D. F., & Husman, J. (2008). Control, motivation, affect, and strategic self-regulation in the college classroom: A multidimensional phenomenon. Journal of Educational Psychology, 100(2), 443–459. https://doi.org/10.1037/0022-0663.100.2.443Schell, W. J., & Hughes, B. E., & Tallman, B., & Annand, E., & Beigel, R. M., & Kwapisz, M. B. (2019, June), Exploring the Relationship Between Students’ Engineering Identity and Leadership Self-Efficacy Paper presented at 2019 ASEE Annual Conference & Exposition , Tampa, Florida. 10.18260/1-2--32817Schnitker, S. A. (2012). An examination of patience and
numerous national and international conferences in the fields of education and women’s studies (AERA, AESA, & NWSA). In 2009, Beckett served as a Program Evaluator for the world renowned Apprenticeship in Ecological Horticulture at the Center for Agroecology and Sustainable Food Systems (CASFS) at UC Santa Cruz. She co-authored an evaluation of two decades of the apprenticeship program (Perez, Par, & Beckett, 2010). She served as the Program Evaluator for Apprenticeships in Sustainability Science and Engineering Design (ASCEND) at UC Santa Cruz in the 2014-2015 academic year, where she collaborated with the Program Director to build new assessment to measure STEM learning through ”audio diaries,” and piloted an
12.1% Native Hawaiian or Pacific Islander 0.5% White 65.1% Other 8.8% Total 100%Figure 3 shows the student ratings on their overall academic ability, and their ability with respectto Mathematics. Most students rated themselves with an above average academic ability. Ratingsare slightly worse with respect to mathematics, perhaps because most participants follow non-engineering majors (65% of the participants follow a non-engineering major). It is worth notingthat attitudes toward math and math self-efficacy beliefs are very important factors for studentsto choose a Science Technology Engineering and
assigned texts and interactions with each other and projectleaders in a workshop environment. The assigned texts opened up discussions of studentexpectations about entering the professional world; students were also taught fundamentalinterview techniques and given the opportunity to practice them with each other. This dualfocus—philosophical and practical—was intended to enrich students’ ability to thoughtfullyinterview the alumni and promote self-efficacy. Each student met with project leaders threetimes: for an introductory meeting to explain the concept of Vision Venture and to learn about thestudents’ personal goals for their participation; for a workshop discussion of assigned readingsand a lesson on semi-structured interview skills; and for
to theseissues, and perhaps new interventions need to be designed to increase women's self-efficacy inSTEM classes.With regard to the other observations about timing, modality, and repetition, further inquiry isnecessary to establish if the results are situational or suggestive of general patterns. The authorsintend to maintain working through a Community of Practice to refine the questions and generatefurther data to support more definitive conclusions.AcknowledgementsThis material is based upon work supported by the National Science Foundation under GrantNos. Grant Nos. 1821445, 1821638, 1821439, and 1821603. Any opinions, findings, andconclusions or recommendations expressed in this material are those of the author(s) and do
institutions will be presented.IntroductionVirtual mentoring is not a new practice, it has been in existence for over 20 years [5], [6] [7], [8],[9]. The online setting can seamlessly connect undergraduate students across the country withmentors, and the GradTrack program was initially started in 2021 during the COVID-19pandemic. Virtual mentoring has also been shown to increase sense of community, STEMachievement, career self-efficacy, and drive to persist in mentors and mentees [10].The GradTrack mentoring structure is a scalable group and peer mentoring model, with 2graduate student mentors from Purdue with 5-7 URM undergraduate student mentees fromacross the United States and Puerto Rico joined in a mentoring circle. The second iteration of
-19 pandemic differs from these earlier and continuing trends in distance learning, notonly in terms of scale and pervasiveness, but, importantly, also in self-efficacy. This switch wasinvoluntary for both teachers and learners. Wei and Chou found that learners’ perceptions ofself-efficacy had a marked effect on their learning readiness in the remote environment [23]. Thisleads to challenges with engagement, as observed in several studies [11-16]. Serhan evaluatedstudent perceptions of the Zoom platform and found that students were not motivated to activelyparticipate in a remote setting [16]. This is in line with prior studies that report a lower level ofengagement, participation and retention rates [17], [26] and overall reduced
Proceedings, 2018, doi: 10.18260/1-2--30204.[56] J. A. Mejia, D. Ruiz, V. Popov, A. Esquinca, and D. Gadbois, “Board 104: Asset-based Practices in Engineering Design (APRENDE): Development of a Funds-of-Knowledge Approach for the Formation of Engineers,” in Proceedings of the ASEE Annual Conference & Exposition, 2019.[57] S. L. Dika, M. A. Pando, B. Q. Tempest, and M. E. Allen, “Examining the Cultural Wealth of Underrepresented Minority Engineering Persisters,” J. Prof. Issues Eng. Educ. Pract., vol. 144, no. 2, pp. 1–9, Apr. 2018, doi: 10.1061/(ASCE)EI.1943-5541.0000358.[58] S. L. Dika, M. A. Pando, B. Q. Tempest, K. A. Foxx, and M. E. Allen, “Engineering self- efficacy, interactions with faculty
selected to receive NSF S-STEM funded scholarships. Annualscholarships starting at $4,500 are renewable for up to 5 years and incrementally increase by$1,000 per year through year four. Students must retain in engineering and maintain acumulative GPA of at least 3.0 to renew the scholarships.2.0 MethodologyStudent participants who receive NSF S-STEM funded scholarships are required to participate insurveys, one-on-one interviews, and focus groups each semester of their undergraduateeducation. The students provide quantitative data by completing a modified version of theLongitudinal Assessment of Engineering Self-Efficacy (LAESE) survey, the twelve questionGRIT survey, and a shortened version of the Motivated Strategies for Learning Questionnaire
-Jameni, and C. Angeli, “Effect of robotics on elementary preservice teachers’ self-efficacy, science learning, and computational thinking,” Journal of Science Education and Technology, vol. 26, no. 2, pp. 175-192, 2017.
education: secondary testing might improve • Excessive focus ofHow prospective mathematics student scores but fail as a standardized testing asteachers grapple with teachers (PMTs) measure of teaching efficacy measure of teacher efficacyusing culturally • Predefined topics and rigid • Lack of classroom/curricularresponsive teaching instructional guides limit the autonomypractices in the age of extent to which teachers canstandardized testing
mental health and academic success for college students.33,34,35,36 Anecdotally, it was the authors’ experience in working with students in each speciality area (instruction of engineering content, mental health counseling and academic counseling), that students often view these components as separate and disconnected. However, it is our view that these aspects are closely interconnected and can have a cyclical effect, i.e. increasing students’ awareness and use of strategies that improve mental health positively impact academic performance,33, 35 and using effective organizational and learning strategies improve students’ academic success and therefore their self-efficacy, motivation and overall mental health.34, 36 Starting
jobs andaccepting a job offer. For a subset of codes, two researchers independently coded thedata, and discrepancies were re-evaluated for the application of the appropriate code.We then compared the codes from the open-ended responses to the responses of the jobselection factors ranking (i.e., closed-ended) question. The goal of this comparison was todevelop deeper insights into the limitations of any one measure—and to ultimately makerecommendations for better stand-alone measures. In addition, comparisons were madebetween the job search factors responses and respondent characteristics (backgroundexperiences, socioeconomic and demographic classifications, and job-relatedperceptions). Chi-square tests were used to determine significant
educational activities; and (2) theresources deployed by the educational institution to provide learning opportunities (Kuh et al.2011, p. 44). Previous studies show the more engaged students are, the more they learn (Astin,1984; Carini, Kuh, & Klein, 2006; Cross, 1999). Furthermore, engagement is also positivelycorrelated to grades (Handelsman, Briggs, Sullivan, & Towler, 2005).Interaction between students and the instructor has been recognized as an essential component forengagement and learning (Astin, 1984; Ewell & Jones, 1996; Fries-Britt, 2000; Schwitzer &Lovell, 1999). Additionally, students that actively interact with professors and other studentsmanifest higher self-efficacy and overall satisfaction with the course (Maeroff
culture, some students were able to thrive, while others’ low levelsof self-efficacy prevented them from having successful experiences. Since most REU studentsworked individually, opportunities for mutual support among research teams were not developed.This project determined to create research experiences that would address these issues. With aPBL approach in mind, engineering faculty members recruited students with a variety of STEMbackgrounds to work collaboratively on a complex problem in transportation engineering. Theresearch was intended to be a collaborative effort among students to reach their common goal.This paper has described the REU as it has developed over two years.During the first year of the project (summer 2018), the eight
better indicators ofgraduate school success. Measures of self-efficacy, perseverance, motivation, and belonginghave all been linked to completion of degree and achievement, as well as passion for researchand prior research experience [23,35-40].These data and others were used to directly inform the development and implementation of anentirely holistic approach to graduate admissions, one that aims to level the playing field forapplicants from all backgrounds and experiences. After gaining a thorough understanding ofbest practices in graduate admissions, and recognizing faculty need for a relatively efficientmeans of reviewing large volumes of applicants as fairly as possible, the Holistic PhDAdmissions Rubric was developed. This rubric is
engineering design in middle schools. International Journal of Engineering Education, 23(5), 874–883. 4. Litzinger, T. A., Wise, J. C., & Lee, S. H. (2005). Self-directed learning readiness among engineering undergraduate students. Journal of Engineering Education, 94(2), 215–221. http://doi.org/10.1002/j.2168-9830.2005.tb00842.x 5. Raelin, J. A., Bailey, M. B., Hamann, J., Pendleton, L. K., Reisberg, R., & Whitman, D. L. (2014). The gendered effect of cooperative education, contextual support, and self- efficacy on undergraduate retention. Journal of Engineering Education, 103(4), 599–624. http://doi.org/10.1002/jee.20060 6. Schuurman, M. K., Pangborn, R. N., & McClintic, R. D. (2008). Assessing
to experience nurturing environments and reported higher levels of self-efficacy, content interest, and support than their peers at PWIs [8], [12]. Institutions with higherrates of persistence and graduation rates with STEM underrepresented minority students, reportincreased student involvement on campus, have welcoming environments, and encouragemeaningful connections with faculty, which are all factors in fostering social-belonging [8].Understanding how high-performing institutions create environments of social belonging and asense of belonging can provide a plan to increase rates of success and degree completion forminority engineering students.Evidence indicates that there is a relationship between campus involvement
altogether.These include concerns over the ability to earn a degree, self-efficacy, or the effort required toattain a degree.10 Another study revealed the desire for a student to fit in the standard definitionof an engineering student or self-identify as part of the program.11 Others have addressedparental pressure or financial need as issues for wanting to study engineering.12 Since many ofthese negative motivators are less apt to be addressed by curriculum changes, this paper willfocus on positive motivators.Positive motivations can be further classified into a spectrum of altruistic reasons. Evidence hasshown that social responsibility can play a large role in students motivation to choose a major.13The most common responses from students was a desire