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
innovation management as part of aninnovation ecosystem, and all parts of this continuum have been the focus of worthwhileinnovation management internships as considered in our study.Even with this inclusive view of innovation management, however, specific literature oninternships and innovation management education for engineers is limited. Concerning thesignificance of internships on entrepreneurship education, the recent work of Duval-Couetil et albegins by noting that “to date, few researchers have examined to what extent differing programmodels and experiential activities impact students’ perceptions of their entrepreneurialknowledge, skills, and self-efficacy.” (Duval-Couetil, Shartrand and Reed, 2016.) Althoughinternships are not discussed in
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
were two questionnaires administered in fall 2012, spring2013, fall 2013, and spring 2014: one for the Current pathway scholars and one for the potentialtransfer students who attended Shadow Day (the Anticipating students). Both questionnairesassessed demographic information and information regarding their choice and feelings forchoosing engineering as a career. The questionnaires also assessed any hurdles they expect toface by transferring to LSU or continuing in the program. The responses to these questions werecompared between the two groups to determine potential effects of actually transferring to LSU.The results from the self-efficacy questions suggests that anticipating students rated this more Table 4. The cumulative GPA’s for
and Exposition,Seattle, Washington. 10.18260/p.246415 Riley, Donna. Engineering and social justice. Chapter 2 “Mindsets in Engineering” Synthesis Lectures onEngineers, Technology, and Society 3.1 (2008): 33-45.6 Bandura, Albert. (1977). “Self-efficacy: Toward a unifying theory of behavioral change.” Psychological Review,Vol 84(2), Mar 1977, 191-215.Acknowledgment: This material is based upon work supported, in part, by the National ScienceFoundation, under grant 1256529. Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflect the views ofthe National Science Foundation.For more on content of the course, see Riley, D., Grunert, J., Jalali, Y., Adams, S.G
energy demandburden as they are available through more defined communications, rather than have to operateat pre-determined values. The complexity of these levels was meant to match the expertise of the high school studentsattending the lessons. Smart Grid and Micro-Grid were both highly collaborative lessons withinteraction amongst all parties to promote self-discovery of the system in discussion.Assessment The Young Scholar’s group knowledge and experience gains were observed in several areasincluding science self-efficacy, science understanding, sense of inclusion, and energy beliefs,knowledge, and behavior. (Assessing Women and Men in Engineering (AWE). (n.d.),DeWaters,J. Quaqish, B.,Graham, M., & Powers, S. (2013). Riggs, I.M
Association Anonymous New York: Macmillan., 1992, pp. 465-485.[3] M. Borrego et al, "Team Effectiveness Theory from Industrial and Organizational Psychology Applied to Engineering Student Project Teams: A Research Review," J Eng Educ, vol. 102, (4), pp. 472-512, 2013.[4] (). Accreditation.[5] G. L. Stewart, I. S. Fulmer and M. R. Barrick, "An Exploration of Member Roles as a Multilevel Linking Mechanism for Individual Traits and Outcomes," Person. Psychol., vol. 58, (2), pp. 343-365, 2005.[6] S. Sonnentag and J. Volmer, "Individual-Level Predictors of Task-Related Teamwork Processes: The Role of Expertise and Self-Efficacy in Team Meetings," Group & Organization Management, vol. 34, (1), pp. 37-66, 2009.[7] A. Zhang, "Peer
andthrough programming during the laboratory sessions, students were able to learn about thesefundamentals without requiring a prerequisite of AP Calculus.Through in class activities and lectures by the instructional team and those in the field, studentsgained knowledge that they were able to apply to a real-world application of BCIs in thelaboratory modules. This structured learning approach allowed the students to use lowercognitive processes of the revised Bloom’s taxonomy to generate, plan, and produce novelsolutions from an existing ones by optimizing the BCI maze [16]. Furthermore, the studentsurvey results highlight the importance of having an instructional team with positive teacherattitudes and high self-efficacy about the fields of BME and
engineering students, increasing it from near87% in recent years to 90% after the block scheduling year [5].Diversity in retention effortsWhat has also been reported in literature is that unfortunate disparities and barriers related torace must also be overcome [4, 7, 8]. Studies have focused on barriers to the success of Blackand Latino STEM students [7, 8], including academic, social [7], and institutional barriers [8].Strategies have been described for helping with student retention and success, includingencouragement and maintenance of attributes like academic self-efficacy, confidence andresilience [9]. Traditional theories on retention such as that of Tinto [10], focus on the impact ofadjustment, and adaptation to the dominant culture of an
research to this conversation is Borrego’s [24], [25] quantitative workexploring the reasons why undergraduates choose to go to graduate school. They found fivethemes emerged through their Exploratory Factor Analysis: Self-efficacy, Outcomeexpectations, Supports, Barriers, and Choice Actions, while also adding value to engineeringeducation literature by exploring the differences between the goals of those pursuing Mastersdegrees and those intending to pursue a PhD.In the present work, we aim to add to the conversation on the transition from undergraduateto graduate stages of education by examining personal statements written by engineeringawardees of the National Science Foundation (NSF) Graduate Research Fellowship Program(GRFP) in one funding
] M. Demir, S. Burton and N. Dunbar, "Professor–Student Rapport and Perceived Autonomy Support as Predictors of Course and Student Outcomes," Teaching of Psychology, vol. 46, no. 1, pp. 22-33, 2018.[17] M. Komarraju, "Ideal Teacher Behaviors: Student Motivation and Self-Efficacy Predict Preferences," Society for the Teaching of Psychology, vol. 40, no. 2, pp. 104-110, 2013.[18] M. M. Handelsman, W. L. Briggs, N. Sullivan and A. Towler, "A Measure of College Student Course Engagement," Journal of Educational Research, vol. 98, no. 3, pp. 184-191, 2005.[19] C. M. Estepp and G. T. Roberts, "Exploring the Relationship between Professor/Student Rapport and Students' Expectancy for Success and Values/Goals in College of
findingsreveal that students engaged with course material in more meaningful and thoughtful ways, whichallow them to focus primarily on learning course content. Moreover, students expressed favorableviews towards the inclusion of a point-scale system when compared to the traditional assessmentscales. The results indicated that the point-scale system helped to ‘level the playing field’ andminimize psychological issues such as self-efficacy, anxiety, and motivation that often serve asbarriers to meaningful learning and active engagement.Results also indicated that the new assessment was a bit ambiguous from the perspective ofcategory three, particularly, since students’ actual letter grades were revealed until the last weekof class. Students agreed with
the topics and tasks related to both their civil engineering education and their careers in civilengineering. Trends in the data indicate that including an active learning component in atraditional passive lecture series adds value for students in two worthwhile ways. The first beingan increased awareness of less traditional, yet critically important, professional communicationskills and second, students develop a sense of self efficacy in a public facing aspect ofprofessional life.Overall the structured active learning approach to the planning and execution of a traditionalweekly lecture series by the students was a success. The students found that both theplanning/execution of their weekly lecture and attending the lectures offered by their
generation college students and other underrepresented groups such as genderand ethnicity8, 23, 24. Results of Flores23 show that traditional versus non-traditional contextualvariables influenced the strength of the linkage between interests, career self-efficacies, and Page 23.429.5career choices for Mexican Americans. Research specific to supports and barriers includes workconcerning coping efficacy versus barriers relative to the process variables for obtaining outcomeexpectations25 and a comparison of Bandura’s model to SCCT for contextual support andbarriers in engineering majors26. Qualitative research using SCCT includes research onengineering
toaddressing. The Beyond Blackboards model is based on a comprehensive community approachthat integrates informal, out-of-school, design-based learning experiences to inspire diversemiddle school students to advance in STEM courses and fields. We find that our three-prongedapproach fosters a strong community culture of understanding and supporting engineering Page 25.647.10education. From afterschool Innovation Clubs to hosting an FLL competition to family ‘EngineerIt’ nights to underwater summer camp on campus, our program impacted and improved STEMinterest and self-efficacy not only for participating students, but also for students across all of
are complementary (e.g., Dan Pink25 argues for a Page 25.949.6hybrid theory that incorporates value from expectancy-value theory into self-determinationtheory). Factors TAs should consider include, but are not limited to: task value, feeling of self-efficacy, competence, relatedness, autonomy, control, and types of goals.3 Tips for How TAs Can Motivate Engineering Students Because previous work on motivation theories in the classroom has focused on theactions of faculty, many teaching tips (e.g., create project-based courses) do not directly apply towhat TAs can change. We focus on providing attitudes and actions that engineering
on interest congruence,authority relationships, and social environments. Finally, Winkelman used learning theory tostudy self-efficacy, learning styles, and academic preparation. Winkelman’s study, well Page 15.367.10grounded in social theory, indicates the difficulty of using one model or theory to explain thevarious factors influencing females to enter the engineering profession.Illeres’ three-dimensional model may16 prove useful for increasing the number of females whobecome engineers. This model describes the learning process as having three interdependentelements: cognition, emotion, and environment. If these three dimensions of learning
, student perceptions regarding library resourcesand research self-efficacy. A review of the literature shows a wide range of case studiesexamining measured results and extrapolating the implications of such assessment. This type ofsummative, selected-response assessment can provide some indication of whether information Page 15.278.2literacy standards are being met. However to fully evaluate student proficiencies, informationliteracy assessment must also be able to assess a student’s ability to apply information literacyskills. Herein we employ the bibliometric technique of citation analysis for evaluatinginformation literacy among first-year
provide an opportunity for students to develop the skillsnecessary to succeed in college and to improve their self-confidence. On a four point scale,students’ level of confidence increased from 3.1 to 3.5 (p=.001) and their feeling of preparednessto succeed increased from 2.9 to 3.5 (p=.000). This is a remarkable and significant shift showingthat the program is instilling a sense of self-efficacy in the students.Finally, themes from the open-ended items on the end-of-course survey provide interestinginsight. Students noted that, through making mistakes in “Crossing the Boundary,” they learnedto ask for help from the teacher and from others, to work more effectively on teams, and to beginhomework early (rather than procrastinate). Common
, in Computers & Education 54, 1145-1156.7 Terlecki, M., Brown, J., Harner-Steciw, L., Irvin-Hannum, J., Marchetto-Ryan, N., Ruhl, L., Wiggins, J., 2011, Sex differences and similarities in video game experience, preferences, and self-efficacy: Implications for the gaming industry, in Current Psychology 30, 22-33.8 Burge, J. E., Gannod, G. C., Doyle, M., Davis, K. C., 2013, Girls on the go: a CS summer camp to attract and inspire female high school students, Proceeding of the 44th ACM technical symposium on Computer science education, ACM, pp. 615-620.9 Sewell, K. L., Ringenberg, J., 2012, Accelerating K-12 Interest in Computer Science using Mobile Application-Based Curriculums, American Society for Engineering
. Strategies for facilitating self-directed learning: A process for enhancing human resource development. Human Resource Development Quarterly 2, 3–12 (1991).19. Dannels, D. P. Learning to be professional technical classroom discourse, practice, and professional identity construction. Journal of Business and Technical Communication 14, 5–37 (2000).20. Umphress, D. A., Hendrix, T. D. & Cross, J. H. Software process in the classroom: the Capstone project experience. IEEE Software 19, 78–81 (2002).21. Dunlap, J. C. Problem-based learning and self-efficacy: How a capstone course prepares students for a profession. ETR&D 53, 65–83 (2005).22. Gupta, J. N. D. & Wachter, R. M. A capstone course in the information
interactions between Fellowsand IUP pre-service teachers to implement engineering concepts in K-12 classrooms. She teaches coursesin Biology and Education. Her research interests are in enhancing pre-service elementary teachers’ self-efficacy for science and science teaching.PHIL HENNING /HENNING GROUP, LLC.Phil Henning serves as the outside evaluator for the Penn State NSF GK12 GREATT Project and isprincipal of The Henning Group, LLC which provides consulting services in technical and scientificcurriculum development, evaluation and research. He has taught for 26 years at the Pennsylvania Collegeof Technology and holds a Ph.D. in Instructional Systems from Penn State.WILLIAM CARLSEN /PENNSYLVANIA STATE UNIVERSITYBill is a Professor of Science
of Engineering. Having over 20 years experience in vehicle- and safety-related transportationresearch at PTI, she has been involved in the NSF-sponsored GK-12 project focusing on advanced transportationtechnologies since its inception in 1999.LEANNE AVERY /INDIANA UNIVERSITY OF PENNSYLVANIALeanne is an Associate Professor of Science Education in the Department of Biology at IUP. She providesprofessional development in education for Project Fellows and coordinates interactions between Fellows and IUPpre-service teachers to implement engineering concepts in K-12 classrooms. She teaches courses in Biology andEducation. Her research interests are in enhancing pre-service elementary teachers’ self-efficacy for science andscience teaching.PHIL
Health, Ms. Parry and colleagues from theCollege of Engineering and the College of Education have been conducting research on theefficacy of implementing engineering in elementary schools. Pre and post tests on teacher andstudent attitudes toward STEM and student competency and self-efficacy in engineering designand science were administered and an analysis of student STEM notebooks was done. Results ofthat work have been or are in process of being disseminated (Ernst, et al); pilot and field test dataindicate statistically significant gains in both science content knowledge (field test) andengineering design content knowledge (pilot test) as well as in student STEM self-efficacy.STEM notebooks are used by teachers for formative assessment. At
, S. (2007). The cognitive-situative divide and the problem of conceptual change. Educational Psychologist, 42(1), 55-66.36. Schraw, G.J. & Olafson, L.J. (2008). Assessing teachers’ epistemological and ontological worldviews. In M. S. Khine (ed.) Knowing, knowledge, and beliefs: Epistemological studies across diverse cultures (pp.25-44). Netherlands: Springer. Schunk, D. H. (1991). Self-efficacy and academic motivation. Educational Psychologist, 26. 207-232.37. Olafson, L., Schraw, G., & Vander Veldt, M. (2010). Consistency and development of teachers’ epistemological and ontological world views. Learning Environments Research