encountermultiple barriers that prevent them from achieving their academic goals. Although they oftenhave good intentions to help students succeed, faculty often attribute the academic barriers to thestudents’ lack of preparation, motivation, or effort to learn. Research studies [1] showed that thisdeficit mindset of instructors negatively impacts the students’ self-efficacy and hinders theiracademic growth. A recent report from the National Academies [2] highlighted the need to createa learner-centered culture that “meets students where they are.” This raises an important yetchallenging question for faculty development: “What can be done to help transform facultyperception to achieve such cultural change?”As a Very High-enrolled Hispanic Serving
develop negative impressions about careers in STEM15-16.The academic curriculum for the EMBHSSC focuses on 21st century skills, self-efficacy andteam work. At NJIT the curriculum has a space theme and is aligned with New Jersey CoreCurriculum Content Standards. Students study the properties of space, analyze and predict howobjects move on earth and in space, investigating how people live and survive in space. Inaddition to classroom lessons, students participate in hands-on activities, laboratory experiments,team-build exercises, and go on field trips. Students visit research facilities where they areintroduced to engineers and have the opportunity to see first-hand the career options available tothem if they should choose to study engineering.2
of Chief State Offices, 2005, vol. 10 issue 3. 4. T. Boe, The next step for educators and the technology industry: Investing in teachers. Educational Technology, 1989, 29(3), 39-44. 5. Bureau of Labor Statistics http://www.bls.gov/oco/ocos027.htm 6. C. Czerniak, .& M. Schriver, An examination of preservice science teachers' beliefs and behaviors as related to self-efficacy. Journal of Science Teacher Education, 1994, Volume 5, Number 3, 77-86. 7. N. Fisher, K. Gerdes., T. Logue, L. Smith & I Zimmerman, Improving students' knowledge and attitudes of science through use of hands-on activities. (ERIC Document Reproduction Service No. ED 436 352).1998 8. J. Harvey, & S. Purnell, S
. All of these characteristicsmay well act to support the graduate students in this program.However, further examination suggests that many of the learners in this program may need anextra degree of support from faculty. It has been shown that learners do not typically employcognitive strategies spontaneously, and that several factors may serve to inhibit their use: lowskill, learners’ low feelings of self-efficacy, learners’ lack of awareness of their own memory andprocessing characteristics, lack of knowledge of task characteristics, insufficient contentknowledge, and insufficient allocation of time 4. We believe many of the learners in the programare more likely to fit this description because approximately 10 years have lapsed since their
validation, financial knowledge, motivation and self-efficacy, and social support[1], [3], [4]. The research questions are designed with TSC in mind and to support achievementof the purposes of the project. The research questions guiding this grant are: RQ1: What are assets, factors, and strategies that enable access for two- year college students to engineering transfer pathways? RQ2: Do assets, factors, and strategies vary in magnitude and/or presence across student demographics, locations, institutions, or intention to transfer? RQ3: How does use of digital learning tools and resources impact transfer outcomes for pre-transfer engineering students? RQ4: To what extent can transfer outcomes be
supporting STEM faculty on STEM education research projects.Dr. Sharon Miller, Purdue University Sharon Miller, PhD, is an Associate Professor of Practice in the Weldon School of Biomedical Engineering at Purdue University. She received a BS degree in Materials Science and Engineering from Purdue University and MS and PhD degrees in Biomedical Engineering from the University of Michigan. Her educational efforts focus on biomedical engineering discipline-based educational research, including design self-efficacy, project-based learning, critical reflection in ethics, and high-impact practices. ©American Society for Engineering Education, 2024Work in Progress: A Multi-level Undergraduate Curricular
students compared to their male counterparts. Similar results wereobserved in a four-day engineering summer camp for girls [14], where participants had increasedinterest and understanding of engineering topics after camp completion. On the other hand, amixed-method study [15] on a six-day middle school engineering summer camp showed nostatistically significant change in participants’ intrinsic motivation, interest in engineeringcareers, self-efficacy, and self-determination based on the quantitative data. Nonetheless,qualitative data indicated that camp experience positively impacted participants’ outlook towardengineering and STEM careers and their awareness of STEM career requirements.The Friday Institute of Education S-STEM survey has been used
- demonstrated statistically significant increases in understanding that wereconsistent across items. At baseline (fall 2009) and follow-ups, the Art2STEM girls reportedrelatively high levels of achievement self-efficacy and attitudes related to STEM subjects andtopics. Generally, there were few changes over time in these areas. Further, the data suggestmore favorable attitudes towards science, engineering, and math than for technology. In fact,there is some indication that girls’ interest in technology decreased over time. In spring andsummer, girls reported less interest in knowing more about computers than was reported in thefall, and more often reported that visiting a factory was boring. Finally, the girls reported greaterinterest in pursuing
individuals. The aim of the present poster is toemphasize the importance of applying lean manufacturing principles in a program for supportingthe needs of underrepresented students and identifying potential beneficial outcomes. Thehypothesis being tested was that providing students with the opportunity to engage in hands-ondiscovery-based activities, offering experience in laboratory environments, allowing them toconduct undergraduate research, and offering mentorship as part of a community would helpstudents develop a strong self-identity in STEM and strengthening their self-efficacy, and hasadded value to students of different background. The results show improvements in recruitment,retention, and inclusion of students from underrepresented groups
analysis throughout theirstudies. Thus, in this study we analyzed course format, student attitudes, and studentperformance. II. Review of Related Literature A. Factors of Student SuccessThe factors that make students successful in and out of the classroom are incredibly complexwith no fool-proof mathematical formula for success. We have begun to understand, however,that combinations of non-cognitive factors, such as grit, community engagement, identity,mindset, self-efficacy, and motivation are far more important predictors than traditionalmeasures of test scores or intelligence measures [4]. Based on this premise, we posit the barriersto student success in programming-oriented courses could largely be addressed by focusing onpromoting healthy
field of computing.Mr. Andrew Jackson, Purdue University, West Lafayette Andrew Jackson is currently pursuing a PhD in Technology through Purdue’s Polytechnic Institute. His previous middle school teaching experience informs his role as a graduate teaching assistant for TECH 120, an introductory course in design thinking. He recently completed his Master of Science in Technol- ogy Leadership and Innovation from Purdue University with a thesis investigating middle school engi- neering self-efficacy beliefs. His research interests are engineering self-efficacy, creativity, and decision making.Prof. Nathan Mentzer, Purdue University, West Lafayette Nathan Mentzer is an assistant professor in the College of Technology
Data Science and Analytics, Feb. 2024, doi: 10.1007/s41060-024-00509-w.[19] R. H. Kilmann and K. W. Thomas, “Developing a forced-choice measure of conflict- handling behavior: The" MODE" instrument,” Educational and psychological measurement, vol. 37, no. 2, pp. 309–325, 1977.[20] A. C Graesser, P. W. Foltz, Y. Rosen, D. W. Shaffer, C. Forsyth, and M.-L. Germany, “Challenges of assessing collaborative problem solving,” Assessment and teaching of 21st century skills: Research and applications, pp. 75–91, 2018.[21] D. A. Kolb, Experiential learning: Experience as the source of learning and development. FT press, 2014.[22] A. Bandura, “Self-efficacy: toward a unifying theory of behavioral change.,” Psychological review, vol
academicengagement among engineering students at four American universities and found that while therewas no significant relationship between student involvement and academic engagement for thesample as a whole, the relationship did reach statistical significance when they paid attention tostudent self-efficacy levels and co-curricular activity types 28. Academic activities (designcompetitions, faculty led groups, informal study groups and professional engineering societymembership) made more of a positive difference for engineering students with high levels ofacademic self-efficacy, while non-academic activities (music, social networks, religiousactivities, fraternities, sports, student government and international student groups) made more ofa positive
to obtain a measure of EI, an example being the Emotional Knowledge Test [8] and theMayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT) [9], [10].The mixed model approach is coined because the assessment includes non-ability measures andintelligent behaviors [6], [11], [12], [13]. These types of mixed approaches work to evaluateconcepts such as emotional perception but then add in scales such as happiness and stresstolerance [6].Pérez [14] defines the difference in emotional intelligence not by the approach of the model butby the distinction of concept. This concept leads to trait EI, also known as emotional self-efficacy and ability EI, also known as cognitive-emotional ability. Pérez argues that thedifference between mixed and
Conference & Exposition, Virtual.[10] MCQueen, A and Klein, W.M.P. (2006) Experimental manipulations of self-affirmation: A systematic review, Self and Identity, 5:4, 289-354, DOI: 10.1080/15298860600805325[11] Ponton, M.K., Edmister, J.H., Ukeiley, L.S. and Seiner, J.M. (2001), Understanding the Role of Self-Efficacy in Engineering Education, Journal of Engineering Education, 90: 247-251. https://doi.org/10.1002/j.2168-9830.2001.tb00599.x[12] Widmann, J., Self, B., Chen, J., Gee, J., and Kerfs, M., (2021), Changes in Non-Cognitive and Affective (NCA) Factors in Engineering and Computing Students: A Longitudinal Study of Mechanical Engineering Students, Research in Engineering Education Symposium, Perth, Australia
. Competence can be related to having a desireto master certain skills, and can promote intrinsic motivation when accompanied by a sense ofautonomy. Competence is also the belief in one’s self-efficacy to meet thechallenges. Relatedness can be thought of as a sense of purpose of pursuing certain actions orbeing connected to others in a social framework. Intrinsic motivation has been linked to variouseducational outcomes across the age span from elementary school to college students [27]. Theresearch findings suggest that intrinsically motivated students are more likely to stay in school[28] , and achieve positive academic performance as measured by standardized achievement testsand by teachers’ ratings [24,25,26,27,28,29,30].Key Features of the
AC 2008-2810: EVALUATING A COMPREHENSIVE MIDDLE SCHOOLOUTREACH PROGRAM—THE RESULTSJuanita Jo Matkins, College of William and Mary Juanita Jo Matkins is an Assistant Professor of Science Education at the College of William and Mary. She was a K-12 teacher for 18 years, and the Virginia recipient of the 1995 Presidential Award for Excellence in Secondary Science Teaching. She has written and published several papers and reports on various issues in teacher education, including assessment, gender and multicultural issues in science education.John A. McLaughlin, McLauglin Associates John McLaughlin is a senior consultant in strategic planning, performance measurement, and program
reflect students’ lived experiences?RQ2: How can serious games like Next Stop provide an opportunity for students to experiencecomplex transportation engineering and urban design collaborative problem solving?RQ3: What is the role of playful experiences in engaging students into difficult conversationsabout complex engineering problems that affect their communities?We intend to conduct interviews with bilingual students about their experiences with the gameand how they identify as an engineer through self-efficacy STEM student measures [28]. Thesedata sources will help us explore the ways that games can shift students into the mindset of anengineer and how best to meet the educational materials needs of multilingual students. We willalso video
students’learning outcomes. This practical research provided a variety of successful teaching andcurriculum design cases for STEM teacher education. Table 4 Summary of the co-words (count > 5) Keywords Year Count Keywords Year Count 1 Education 2012 41 17 Pedagogical content knowledge 2018 10 2 STEM education 2015 29 18 Impact 2012 10 3 Science 2015 28 19 Self-efficacy 2017 10 4 Preservice teacher 2012 24 20 Science education 2017 8 5 Knowledge 2012 20 21
Instruction (SI). This peer support is a non-remedial way to usenear-peers to increase success in traditionally difficult academic, gate-keeper, courses. Typically,these courses are chosen because about 30% of students earn a D, F, or W. In this study thesupport is Technology Assisted Supplemental Instruction (TASI) in Statics courses and itsimpact on Latinx students. Students’ sense of belonging and self-efficacy indicators weregathered and paired with final course grade as an academic marker of effectiveness of theintervention. This study is also notable, as it uses anti-deficit lens to understand not only theliterature but the effectiveness of the intervention.LITERATUREDespite being equally likely to pursue careers in STEM [1] and narrowing rates
them. Insome instances, the lack of engagement might be because students are not aware of the HIEP theycan participate in during their program. Acknowledgments This material is based upon work supported by the National Science Foundation underGrant No. 1927218. Any opinion, findings, and conclusions or recommendations expressed inthis material are those of the authors and do not necessarily reflect the views of the NationalScience Foundation.REFERENCES[1] Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191–215.[2] French, B. F., Immekus, J. C., & Oakes, W. C. (2005). An Examination of Indicators of Engineering
study, the body of research on stereotype threat continuedto grow (Shapiro 2011) (Eschenbach, et al. 2014) (Thomas, et al. 2018), with much of theresearch focusing on race and gender-based stereotypes and stereotype threats, the impacts onindividual’s academic performance (Owens 2010), along with the developed coping mechanisms(von Hippel 2005). This research body determined that stereotype threat can take up valuablewhen experienced, which can affect many things including cognitive mechanisms and academicperformance and persistence.When an individual from a stigmatized group is presented with a negative stereotype, it cancause a heighted awareness of one’s own actions. This heightened awareness often leads to areduction in self-efficacy (the
competencies. Reviewing research on self-confidence and self-efficacy may provide further insights into building confidence in engineeringleaders that can be easily demonstrated during a career fair event 34.Study Limitations The qualitative design of this study focused on generating themes from the perspective ofrecruiters regarding behaviors during a career fair that demonstrate the potential for engineeringleadership. The recruiters selected for this study were chosen based on their involvement inhiring engineers for entry-level positions and included large public companies. Collecting fromthis sample allowed for a greater diversity of engineering disciplines, but did not account for theneeds of smaller organizations. The data collection
recipients, improved self-efficacy, and the retention and graduation rate for scholarship recipients as well as studentsenrolled in the three ET programs in general.2. Transformation of the ET Department Coincide with the Timeline of Seeking NSF S-STEM FundingUniversity of Houston was established as institution of high education (IHE) for working classkids in early twentieth century [5]. Almost a century later, the UH system [6] has grown toinclude four IHEs serving one of the largest metropolitan area in the United States. The flag-shipcampus – University of Houston (UH) – where the ET department locates, identified studentsuccess as one of the four pillars in its mission [7]. In Fall 2017, a new record of 45,000 studentenrolled at UH, with about
- early and industry industry experts opportunities recruitment experts opportunitiesThe participants were surveyed about their experience with this project and encouraged to providefeedback. Overall, the diverse nature of the team involved in this project was instrumental to itssuccess. No one member held all of the knowledge needed to answer the research questions posed.Each member of the team was aware of his or her responsibility within the execution plan of theproject.Participating in projects such as these has been shown to build student self-efficacy as well as asense of belonging [14] [15]. These attributes contributed to the overall success of
become the “fixed” and “growth”mindsets. The authors explain the implications for learning based on which self-concept anindividual possesses and how that affects that individual’s motivation. Understanding a person’spsychological concept of self is very important when considering a person’s motivation for andsuccess in education. Several studies which use interventions based on students’ psychologies,including their mindsets, have proven to be effective in affecting educational outcomes [5-9],especially in at-risk and underrepresented groups.The literature includes few studies wherein the growth mindset has been applied in engineeringsettings. However, numerous papers have looked at how engineering students’ motivation [10,11] and self-efficacy
and four-year colleges influence student identity, belonging, self-efficacy,and encouragement. The “STEM culture” a student experiences shapes their awareness andunderstanding of standards, expectations, and their sense of belonging in STEM. Moreimportantly, the encouragement or lack thereof within the “STEM culture” of the departmentand/or institution can support or undermine their performance and persistence through their self-concepts and beliefs and their feelings of community and belonging in STEM fields.3-5For historically underrepresented students, such as black students, views of the way race andethnicity function in their college environment are especially important in their social andacademic adjustment.25 Experiencing a college
spaceshad a positive impact on many attributes vital to engineering, such as design and analyticalabilities, design self-efficacy, communication skills, management skills, and working effectivelyas a team [6], [8], [9], [10].About the MakerspaceThe makerspace being studied is relatively new, having only opened in 2016. The space isapproximately 1700 sq. ft. and is divided into several distinct areas. The front of the room closeto the entrance has a dual-function whiteboard/table, a couch, and a 60” monitor. It is setup formeetings, training for new users, lectures, planning, and if desired, relaxing. The middle of theroom has several large tables and is designed for testing out ideas and assembling small tomedium sized projects. The area can also
men, and their opinionshould matter for products and services developed by engineers, scientists, mathematicians, etc.Women make up about 50% of university students across the United States and only 13 to 33%of those students hold a bachelor’s or master’s degree in STEM, with the lowest percentage inengineering degrees [2].Lack of Confidence of Women in STEM Academic Programs:Since many female students struggle with lack of confidence in STEM, studies have beencompleted analyzing female’s perspectives on their courses and experiences compared to theirmale counterparts. A study revealed that women showed lower perceived ability, self-efficacy,performance approach, and mastery approach than men, along with a higher performanceavoidance and
for supporting teachers to demystify and bring concepts of AIand ML into classrooms [9].Teachers’ confidence is central to the integration of technology in the classroom in general, thehigher a teacher’s self-efficacy with technologies in their class, the more positive their attitude,which leads to a higher level of confidence and technology use[10]. This aligns with Ajzen andFishbein’s Theory of Reasoned Action (TRA), which predicts teachers’ behavioral intentions,which lead to technology decisions, with high accuracy by understanding their attitude towardthe behavior [11]. Evidence also shows that the exploration and use of available technologytools relevant to the teachers’ subject matter during professional development training results