problemsolving approaches and methods often linked to design thinking in a series of paneldiscussions, workshops and assignments. Previous research has demonstrated that betterlearning outcomes of sustainability related challenges are reached when multi-methodlearning experiences are produced [20]. Additionally, problem-based design challenges andteaching have been connected to increase awareness of societal issues, entrepreneurialintentions and innovation self-efficacy amongst engineering students [11,20,51], highlightingthe benefits of generatively applying knowledge within courses. Overall, the students abilityto implement the measured sub-themes of sustainability, ethics and collaboration in seven outof the nine sub themes improved statistically
fewer opportunities for undergraduate students tocultivate these skills before they are deeply embedded in their profession specific courses.11,12Educating pre-professional students in processes of creativity and innovation is recognized andencouraged to enhance innovation in addressing current health challenges.13 Studiesdocumenting the importance of Interprofessional Education (IPE) for medical and nursingstudents have identified successful outcomes including improved communication skills,increased knowledge of role, and greater self-efficacy.14,15 Moreover, IPE has been shown topositively change students attitude towards working in teams for medical students.16 Theseoutcomes are process-oriented; yet, two separate systematic literature
has drawn even more attention to theunderrepresentation of women in computing. Women currently comprise only 15.7% of computingdegrees awarded, a proportion that has been declining in the past three decades. Some researchersbelieve that this is due to the fact that women experience lower perception of self-efficacy andhigher perception of computer anxiety (Ahuja & Thatcher, 2005; Venkatesh & Morris, 2000;Whitley, 1997). Many female students believe that traditional approaches of teaching computerscience are boring and uninviting (AAUW, 2000; Margolis & Fisher, 2002; Ashcraft et al., 2012).Therefore, gamification can be a potentially promising approach to enhance the engagement andenjoyment of computer science students. There are
gender equity, we focused onsupporting the behaviors (e.g. the climate variables discussed above) to promote equity. Wewanted to see how this indirect dual agenda approach impacted faculty beliefs about their 11department’s ability to achieve gender equity, as well as their perceptions of other key aspects ofdepartmental climate.Our research addresses an issue raised by Acker: “Does the sex composition of change agentgroups make a difference in the success of projects?” (p. 627)4 Our goal was to see if there weredifferential impacts of the Dialogues process on departmental climate measures among academicdepartments that vary in the percent of
. Towle, J. Mann, B. Kinsey, E. J. O’Brien, C. F. Bauer, and R. Champoux, “Assessing the self efficacy and spatial ability of engineering students from multiple disciplines,” in Proceedings Frontiers in Education 35th Annual Conference. IEEE, 2005, pp. S2C–15. [6] L. McGarvey, L. Luo, Z. Hawes, S. R. S. Group et al., “Spatial skills framework for young engineers,” in Early engineering learning. Springer, 2018, pp. 53–81. [7] N. S. Newcombe, “Picture this: Increasing math and science learning by improving spatial thinking.” American educator, vol. 34, no. 2, p. 29, 2010. [8] N. W. Hartman and G. R. Bertoline, “Spatial abilities and virtual technologies: Examining the computer graphics learning environment,” in Ninth
that this may be attributed tothe nature of the science laboratory courses taken by freshmen and sophomores at this institution,which consist largely of cookbook experiments. The results of this investigation indicate a needfor exposure to engineering experimental design processes sooner in the student‟s academiccareer. Page 15.1112.2 1IntroductionThe goal of this research is to contribute to our understanding of how students learn to designexperiments. This study focuses specifically on student attitudes towards an open-ended designproject because attitudes are important to issues of self
, GA.10. Eris, O., Chachra, D., Chen, H. L., Sheppard, S., Ludlow, L., Rosca, C., Bailey, T., Toye, G., 2010, “Outcomesof a longitudinal administration of the persistence in engineering survey,” Journal of Engineering Education, 99, pp.371-395.11. Hanson, J. H., Williams, J. M., 2008, “Using writing assignments to improve self-assessment andcommunication skills in an engineering statics course,” Journal of Engineering Education, 97, pp. 515-529.12. Carberry, A. R., Lee, H-S., Ohland, M. W., 2010, “Measuring engineering design self-efficacy,” Journal ofEngineering Education, 99, pp. 71-79. Page 24.854.14
ethical and responsible research.3.2 MethodsNanoJapan participants in Summers 2012 and 2013 and RQI REU students in Summer 2013completed pre- and post-program assessments using the Georgia Institute of TechnologyInternational Internship (GITII) survey, a valid and reliable instrument developed to assess students’general knowledge, abilities, and skills related to technical internships. The instrument wasdeveloped by the Georgia Tech Office of Assessment and uses an externally validated General Self-Efficacy Scale to assess an individual’s ability to cope with stressful life events.30 We selected thisinstrument as one of the assessment tools for NanoJapan because it is specific to technicalinternships and allows comparison with a referent group of
feedback. In Meeting 1 (Figure 1) co-instructors are invited toconsider their positionalities as they relate to each other [19]. How will the pairs address theinherent power differential between them? How will they approach differing opinions in theclassroom in real time? What are their preferences for giving and receiving feedback to eachother, and how can the mentor instill a sense of self-efficacy and advocacy in the mentee?Overall, we consider the redesigned program as a more intentional, more supportive, and highertouch experience for both mentors and mentees.OutcomesOwing to the continuous adjustments made in response to the Covid-19 pandemic and criseswithin our community, our program implementation proved to be a moving target, and we
activity involving computer simulation and/orinteractive visualization.Surveys measured teacher’s self-efficacy in a number of areas including research literaturereview, design, data collection and analysis, communication of research results, ability to relatereal world research problems to teaching, and use of simulation and visualization tools forresearch and teaching. There was a measured improvement between pre-summer experience andpost-summer experience in all categories, with the largest improvements involving ability todiscuss research ideas and ability to use simulation/visualization tools for research and teaching.Follow-up activities are ongoing during the teacher’s academic school year, including assistancefrom the RET to carry out
self-efficacy towards using these strategies, how their students responded to theactivities, and the barriers they encountered when trying to implement active learning in theirclassrooms. The survey allowed an open space for instructors to describe the type of activity theyused in class that day and also asked “Does the activity you described above require students tointeract with each other?” The purpose of this distinction is to eventually better understand howstudents responses to active learning changes when they are asked to interact with their peers, asopposed to doing an activity that is non-interactive. For this paper, Study 1 will focus on whattypes of active learning is being used by instructors, as well as whether or not it is
. Different example methods can be seen in the faculty narratives. (2) Mentors should listen to the ideas and concerns of their mentees. This was uniformly important throughout the faculty narratives. All faculty mentioned methods to increase student interest in the project/field and support their self-efficacy as researchers. Further, the student survey, regardless of student gender, emphasized the importance of mentor “personal consideration.” (3) Mentors should provide career support, particularly for female mentees. While all undergraduate students should receive some level of career support, the female students surveyed indicated this as the most important role of the faculty research mentor
and the extent to which they view themselves as a “STEM person”. Slightly modified version of the Chemistry Motivation Questionnaire (Glynn & Koballa, 2005), which includes 30 items that measure the following six student factors: Intrinsic Motivation, Extrinsic Motivation, Self-Efficacy, Self-Determination, Goal-Orientation, Anxiety-Related Motivation. The Sense of Belongingness scale [8], which is part of the National Survey of Student Engagement, used by Higher Education Research Institute at UCLA and the Center for Post-Secondary Research and Planning at Indiana University. This instrument operationalizes "belongingness" in a number of different contexts, including
and are part of a 35high school program. After the spatial visualization application course was completed the meanscore for the participant group improved by 6.3% and students who were classified in the at risklow performing group and had a pre-test of 70% or lower improved on their post-test score by15.6%. Additionally, female students improved their post-test score on average by 10.7%.Importantly, student self efficacy improved after treatment completion, as was demonstrated inthe student evaluation survey responses. Due to the positive results found in the qualitative andquantitative data from this small evaluation, additional schools will be encouraged to use thespatial visualization application in the future, particularly for students
research programs, tend tohave stronger retention rates (Fakayode et al., 2014).Similarly, scholarship on Hispanic-Serving Institutions (HSIs) has advanced the concept of servingness asa measure of HSIs’ supportive institutional climate (Garcia, Nuñez & Sansone, 2019). Researchers alsoposit that engineering students at HSIs benefit from having professors who show interest in students, peerswho are more like family members, and a sense of self-efficacy that they gain from a supportive institutionalculture (Fleming & Smith, 2013). Additionally, undergraduates at HSIs benefit from co-curricularexperiences such as research opportunities, as well as tutoring and other types of engagement on campus(Garcia & Hurtado, 2011). Garcia and Hurtado
identity currently evidencedin the ASEE body of literature. The CTI layers, written in italics, are followed by relevantthemes pulled from ASEE conference papers. • Personal: self-efficacy and self-confidence in engineering students [7] • Enactment: the development of professional / authentic skills [8] • Relational: creating interpersonal bonds [9] • Communal, specifically community and sense of belonging [2], [9], [10].Pertaining to the programmatic goals of student academic success and retention, the authors wereable to identify relevant literature to guide in the design of the program. Relevant literature fellinto three categories: relating mentorship programs to favorable academic outcomes, specificallyincreases in student GPA
Student Attitudes Toward and Understanding of Engineering,” 2017 ASEE Annual Conference & Exposition Proceedings. [12] N. A. Mamaril, E. L. Usher, C. R. Li, D. R. Economy, and M. S. Kennedy, “Measuring Undergraduate Students' Engineering Self-Efficacy: A Validation Study,” Journal of Engineering Education, vol. 105, no. 2, pp. 366–395, 2016. Appendix A INTERVIEW GUIDE○ Introductions ■ Ourselves ■ This project○ Get-to-know-you ■ What year in school are you? ■ Where are you from? ■ What factors contributed to you coming to UIUC? ■ Why did you choose ECE? ● What do you hope to do with your degree after you graduate
/34579[4] Engineering. Bucks County Community College. (2021). Retrieved from Engineering Area | Bucks County Community College[5] 2020 Best online community colleges in Pennsylvania. (2020). Retrieved from 2020 Best Online Community Colleges in Pennsylvania - OnlineU[6] Delahanty, C. (2020). Creative Self-Efficacy of Undergraduate Women Engineering Majors: A Mixed Methods Study (p. xvi, 188 pages) [Drexel University]. https://doi.org/10.17918/00000005[7] Aghayere, A., Buonincontro, J. K., Genis, V., Friedman G., Kim, Y. E., and Reisman F. (2012). Enhancing creative strengths in engineering technology students through curriculum and pedagogy modification. Retrieved from http://www.indiana.edu/~ciec/Proceedings_2012/Papers/ETD-351
relaxation, improved concentration, self-confidence, improvedefficiency, good interpersonal relationship, increased attentiveness, lowered irritability levels, andan optimistic outlook in life” [15, p. 218]. Additionally, in related research on mindfulness,engineering education researchers have explored relationships between mindfulness, innovation,and self-efficacy [18], [19].Other relevant specific populationsWhile not conducted specifically with university students, there is a third body of research onanother specific population that has relevance for engineering education. Veterans chooseengineering majors at a rate of 1.5 times than that of non-engineering majors [20], and often havedifferent mental health challenges than the general student
self-efficacy and problem solving. Instructional Science, 45(5), 583–602.[27.] Rau, M. A., Aleven, V., & Rummel, N. (2016). Supporting students in making sense of connections and in becoming perceptually fluent in making connections among multiple graphical representations. Journal of Educational Psychology.[28.] Satyanarayana, Ashwin. 2013.Software tools for teaching undergraduate data mining course. Smerican Society of Engineering Education Mid- Atlantic Fall Conference.[29.] Sfard, A. and Leron, U. (1996). Just give me a computer and I will move the earth: Programming as a catalyst of a cultural revolution in the mathematics classroom. International Journal of Computers for Mathematical Learning[30.] Sherin
the participants to women beyond the Mentoring Network.Previous workshop topics have included “Innovative Teaching and Improving TeachingEvaluations”, “Self Efficacy, Self Advocacy, and Negotiation”, “What Does it Mean to TeachScience?” and “Successful Strategies in Writing and Publishing.” Several of these topics havebeen so successful as measured through post workshop surveys that they have been repeated formultiple years. Two semi-annual STEM-UP Symposia have also been considered core workshopopportunities. These have included Symposia on Collaborative Research Opportunities andInnovative Teaching and Improving Teaching Evaluations with presentations from STEM-UPmembers and other faculty at regional institutions.During the years of the
of preparation in math and science as a challenge to becoming anengineer [5]. David Bressoud, who wrote the summary of findings of MAA’s National Study ofCollege Calculus study, writes that while students who enroll in Calculus 1 are generally bothtalented and confident, that “one of the clearest conclusions to come out of our study was howeffective this course is in destroying that confidence” [2].How do we bolster students to help them survive their first semester math class? Prescribingstudents drill-and-kill exercises to get better at applying math concepts was certainly an option,but the instructors wanted to go further in hopes of shifting the self-efficacy, metacognitive skillsand epistemic beliefs of the ESBP participants. The desire
considered to have higherfailing probability in lower level gatekeeper courses. The identification of at-risk students in lower-level engineering courses in this project is based on assessment of student prerequisite knowledgeretention, student past performance, and/or student self-efficacy [8]. As part of Activity 4,supplementary instruction in the form of mentoring sessions was also provided to help studentssolve homework. The mentoring sessions were recommended to all students in the course; but,they became mandatory for at risk students. In addition, the developed early at-risk identificationsystem allowed the instructors to determine the preparation of the students at the beginning of thesemester to tailor the instruction during the semester
Teamwork ?,” Int. J. Innov. Sci. Math. Educ., vol. 25, no. 4, pp. 32–44, 2017.[4] Technavio, “VR in Education Market - Trends and Forecasts,” 2017. [Online]. Available: https://www.businesswire.com/news/home/20170515006621/en/VR-Education-Market--- Trends-Forecasts-Technavio.[5] C. Toh, S. Miller, and T. Simpson, “The impact of virtual product dissection environments on student design learning and self-efficacy,” J. Eng. Des., vol. 26, pp. 48–73, 2015.[6] A. G. Abulrub, A. Attridge, and M. A. Williams, “Virtual Reality in Engineering Education : The Future of Creative Learning,” in Global Engineering Education Conference (EDUCON), 2011, pp. 751–757.[7] A. Richert, M. Shehadeh, and F. Willicks, “Digital
Education Statistics (2004). Trends in educational equity of girls & women: 2004, U.S.Department of Education. NCES 2005-016.7. PATT (1986). “What do girls and boys think of technology? Pupils’ attitudes towards technology”, PATTWorkshop report: March 6-11, 1986. Endhoven University of Technology, Netherlands.8. American Association of University Women (1991). “Shortchanging girls, shortchanging America: A nationwidepoll that assesses self-esteem, educational experiences, interest in math and science, and career aspirations of girlsand boys ages 9-15”, Washington DC: AAUW.9. Weiner, B., An attributional theory of achievement motivation and emotion, Psychological Review 92 (1985) (4),pp. 548–57310. Bandura, A. (1997). Self-efficacy: The exercise
14.212.5Increasing teacher knowledge of engineering concepts and pedagogy are central to the program’sprimary goal of exposing all students to engineering in their K-12 classrooms, but it is merely thebeginning. The PD activities are intended to provide teachers with increased self-efficacy in thisarea so that they will feel confident introducing engineering concepts and activities in theirclassrooms. As indicated in Table 3, almost three-quarters of the teachers responding to thesurvey stated that they had increased the implementation of the engineering design process afterhaving participated in the EOFNJ program. Table 3: Teacher responses when asked about their use of the listed instructional strategies after having participated in the EOFNJ
can implement similar support programs andlearn from our work. Materials, including the physics and chemistry help sheets, will beincluded in the appendix.BackgroundWomen continue to be underrepresented in engineering, earning only 19.3% of bachelor’sdegrees in engineering1 and holding only 11% of engineering positions.2 Despite being asacademically prepared and academically successful as men, they can lag behind men byexhibiting lower levels of academic satisfaction and lack of self-esteem.3 Traditionalassumptions about career options have been reinforced in society and have projected stereotypesthat discourage talented women from continuing in engineering. This is evidenced by researchthat has found a dramatic drop in women’s self-efficacy
AC 2009-1678: HIGH SCHOOL TEACHERS ENGINEERING DESIGN LESSONPLANNING THROUGH PROFESSIONAL DEVELOPMENTCameron Denson, Utah State University Cameron Denson is a post doctoral research associate for the National Center for Engineering and Technology Education at Utah State University. He earned a Ph.D. in occupational studies from the University of Georgia. His research interests include diversity initiatives and increasing student self-efficacy in science and math through infusing engineering design into 9-12 technology education. Previously, he was a middle school technology educator in North Carolina, active in the community activism and grassroots initiatives.Nathan Mentzer, Utah State University
knowledge and developing a healthyappreciation for outside expertise. The collaboration also benefited the non-engineering studentsby demystifying the field of engineering, potentially alleviating “imposter syndrome” bynormalizing team performance expectations, and providing some literacy of the engineeringdesign process. In the case of early childhood education students, these altered perceptions of theengineering discipline may have impact on their self-efficacy for teaching science andengineering (Maier et al., 2013; Kallery 2004; Watters et al., 2000); as such their teaching inthese two content areas may positively influence the perceptions of engineering by their futurestudents, particularly females and minorities. This study adds to the
difficulties can consist of negative beliefs or thoughts that may“decrease the individual’s self-esteem and perceived self-efficacy, [and thus] …decrease theindividual’s confidence in his or her ability to make decisions” (Kleiman, 2004). Gati (1996)developed a taxonomy of career decision-making difficulties to explain possible sources ofvocational indecision. Examples of difficulties include lack of information about occupations,lack of information about oneself, internal conflicts, external conflicts, and dysfunctional beliefs,such as irrational expectations about the career-decision making process itself.Dysfunctional career thinking appears to have a large impact on STEM career choice in females.In a meta-analysis of literature exploring the