. Resour. Dev. Rev., vol. 6, no. 3, pp. 263–296, 2007.[24] M. M. Jameson and B. R. Fusco, “Math anxiety, math self-concept, and math self-efficacy in adult learners compared to traditional undergraduate students,” Adult Educ. Q., vol. 64, no. 4, pp. 306–322, 2014.[25] C. E. Kasworm, “Emotional challenges of adult learners in higher educaiton,” New Dir. Adult Contin. Educ., vol. 2008, no. 120, pp. 27–34, 2008.[26] M. Ambrose, S. Bridges, M, DiPietro, M., Lovett, M., Norman, How learning works. San Francisco: Jossey-Bass, A Wiley Imprint, 2010.[27] B. D. Jones, “Motivating Students to Engage in Learning : The MUSIC Model of Academic Motivation,” Int. J. Teach. Learn. High. Educ., vol. 21, no. 2, pp. 272–285, 2009.[28] M
posits that contemplation in an elementary andmiddle school setting can improve children’s social and emotional skills [2]. At the undergraduatelevel, Bernadez et al. have found software engineering students to be slightly more efficient indeveloping conceptual models after four weeks of mindfulness training [3]. Rieken et al. havefound positive correlations between mindfulness and innovation self-efficacy in undergraduateengineering students [4]. In the business world, Goleman shows that mindfulness results in“stronger focus, staying calmer under stress, better memory, and good corporate citizenship [5].”And in the military, mindfulness has attracted attention as a way to “to heal trauma-stressedveterans, make command decisions and help
/journal.pone.0108497 9) MacPhee, D., Farro, S., & Canetto, S. S. (2013). Academic self-efficacy and performance of underrepresented STEM majors: Gender, ethnic, and social class patterns. Analyses of Social Issues & Public Policy, 13(1), 347-369. doi:10.1111/asap.12033 10) Lyon, G. H., Jafri, J., & St. Louis, K. (2012). Beyond the pipeline: STEM pathways for youth development. Afterschool Matters, 16, 48-57.11) Baird, K. (2012). Class in the classroom: The relationship between school resources and math performance among low socioeconomic status students in 19 rich countries. Education Economics, 20(5), 484-509.12) Salto, L. M., Riggs, M. L., Delgado De Leon, D., Casiano, C. A., & De Leon, M. (2014
interest in the fields of engineering and technology is an importantpart of the recruiting/engagement effort. Part of the “managing” includes administering surveysand developing appropriate program changes based on data. While data had been collected fromstudent attendees since the first event in 2010 using an instrument whose data had previouslybeen validated in a separate study [9], volunteer role model data were collected for the first timein 2014, specifically to begin examining their experiences in this social learning interaction.Study 1 used a Delphi study to develop the factor model and instrument to measure role modelengagement in the IIBI (and other) event interactions, resulting in a single-factor, five itemconstruct. Replicating data
awarenessand in some cases specialized training.The student-faculty and student-student relationships are important because a feeling ofbelonging has been shown to increase academic achievement and sustained success inschool18, 19. Students can focus their thoughts on their studies when they feel safe andwelcomed20. Marra et.al.21 identified lack of belonging as a primary reason that studentsleave engineering. Carter and Wilson22 found that interaction with faculty members is thesingle biggest factor in persistence with students of color. Vogt23 reported that academicintegration positively influenced self-efficacy, which affects effort and critical thinking.Svinicki and McKeachie24 contend that responding to the individual student may be thesingle
in class, and they expressed a lack ofpreparation for in-person class. Some authors highlight the importance of individual differencesin student learning and personality characteristics. While Stickel et al. [25] reported higherscores and greater improvement in analytical problem-solving capabilities, their analysesconcludes that self-efficacy and learning styles contributed to final grades beyond thecontribution of increased teacher interactions. According to Lape et al. [29], while all studentsimproved from pre- to post test, they did not observe significant differences in outcomes betweenthe groups. These authors contend that success may depend on individual differences includingstudy habits, persistence, preparedness, commitment to
that predict student success, including academic preparedness [25],[26] and the psychological factors of motivation, self-efficacy, and attitude [27]–[30]. Ouruniversity’s school of engineering mirrors that of many engineering schools across the country asefforts of research to improve teaching and learning are made in hopes of retaining engineeringstudents into engineering careers. The longitudinal interdisciplinary research group, GEARS,that initially assembled around the research goal of focusing on first-year engineering studentretention and academic achievement has sustained in their efforts, while expanding theirexploration of first-year student retention through innovative, interdisciplinary viewpoints. Ourgroup is now poised to look at
include: o Exceptionally high stress levels associated with successful transition into the college/university, as well as, pressures related to academic performance, o Feelings of isolation and/or a lack of “belonging” within the college/campus setting (ESP. First Generation students). This may pose negative effects on student confidence and perception of self-efficacy, o Assistance avoidance behaviors related to asking for help both inside and outside of the classroom. Utilizing campus support services if efforts to avoid association with negative stereotypes historically attribute to their cultural, ethnic, or gender group (11). o Perceptions of isolation which result in USP students becoming less involved in
,” Science Education, vol. 101, no.3, pp. 486–505, 2017. [4] K.B. Wendell, C.G. Wright, and P. Paugh, “Urban elementary school students’ reflective decision-making during formal engineering learning experiences”. Proceedings of the 2015 American Society for Engineering Education Annual Conference and Exposition, Seattle, WA. [5] J. Gale, M. Alemdar, J. Lingle, S.H. Newton, R. Moore, and J. Rosen, “Developing engineering proficiency and self-efficacy through a middle school engineering course”. Proceedings of the 2018 American Society for Engineering Education Annual Conference and Exposition, Salt Lake City, UT. [6] M. Honey, G. Pearson, and H. Schweingruber, (Eds.), STEM integration in K-12 education: Status, prospects
andposttests of students’ basic knowledge, understanding of concepts and the ability to apply them.Also, students’ self-efficacy, satisfaction with the curriculum, attitudes towards team work,instructors teaching practices, and the impact of the “hybrid” curriculum( project/problem-based) on the instructional environment. The results of the Louvain assessment are extremelysupportive of the “hybrid” (project/problem-based) curriculum. Students in the “hybrid”curriculum expressed their satisfaction with the new curriculum, because: they received a lot ofsupport from the instructors, saw more connections between theory and practice became morewilling to use autonomous learning strategies, and were less reliant on rote memorization relativeto students in
21 100%Of the 21 students, 10 were granted full scholarship to attend, one received a half-scholarship,and the remaining 10 paid the full amount. In addition, the gender composition is shown below: Gender N % Male 15 71.4% Female 6 28.6% Total 21 100%The overall program demographics indicate a lower percentage of under-represented minoritygroups in STEM (28%) while the female population composed 36% of the population.Of the 21 students enrolled in this section, 19 were given parental permission to take the exit(self-efficacy) survey
explicitly ask them to display and explain their output displays before theyleave. This is a time-consuming activity; to create time to do this, we have reduced the numberof required tasks in each lab, allowing us and the students to concentrate on a few, criticalconcepts. In this way, we are able to verify assure that students understand what they have doneand they can correct errors before they leave lab.Our third problem-solving activity for the students involves the validation of their results byquantifying uncertainty and identifying discrepancies between predictions and measured results.While it is not unusual for lab instructors to require that uncertainty be quantified, we askstudents to take the extra step of discussing uncertainty in depth
classroom or workplace is not measured by a deepattention to issues of race, ethnicity, gender, etc. Conceivably, many Clark School alumnirepresented in the study were trained in more of a traditional engineering pedagogical tradition,and therefore did not explicitly need to grapple with issues of race in order to persist in theircourses. Foregrounded by these prior studies and the implications described here, it may not beespecially surprising that some study participants did not respond strongly to the idea that therewas any type of negative treatment based upon their race or gender identity. At the same time,the lack of attention to identity based on race may have allowed these alumni to see faculty in amore positive manner.Notwithstanding
to practice to enhance students experience in learning dynamics,” in 2015 ASEE Annual Conference & Exposition, p. 10.18260/p.23821. [3] S. Huang and J. M. Mativo, “Impact of interventions on students’ conceptual understanding of dynamics principles and self-efficacy,” in 2015 ASEE Annual Conference & Exposition, p. 10.18260/p.24223. [4] P. M. Nissenson, J. Seong, C. Chen, P. A. Dashner, and A. C. Shih, “Developing web-assisted learning modules in vector dynamics,” in 2014 ASEE Annual Conference & Exposition, https://peer.asee.org/20297. [5] E. Perry and J. Marchetta, “The effectiveness of online learning objects in helping stu- dents master required course competencies,” in 2006 ASEE Annual Conference &
teamwork throughout the course. Wefocus on the concept that leadership starts with self-knowledge (Sosik, 1999; Atwater, 1992;Colcleugh, 2013). A reflective self-evaluative process with respect to social intelligence iscorrelated to the development of leadership skills (Condon, 2011). The team and leadershiplearning activities begin with learning about self and are extended to how to inspire and leadothers. Reflection based on observing the impact of team and leadership decisions isincluded. Self-efficacy and accountability are foundational for leadership, professional, andlife long learning development. Assessment of individual skills, conflict managementstyles, and personality feed self-knowledge and reflection on how one's own actions
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
., Florida Gulf Coast University Dr. Kunberger is a Professor in the Department of Environmental and Civil Engineering in the U. A. Whitaker College of Engineering at Florida Gulf Coast University. Dr. Kunberger received her B.C.E. and certificate in Geochemistry from the Georgia Institute of Technology and her M.S. and Ph.D. in Civil Engineering with a minor in Soil Science from North Carolina State University. Her areas of specialization are geotechnical and geo-environmental engineering. Educational areas of interest are self-efficacy and persistence in engineering and development of an interest in STEM topics in K-12 students.Dr. Corrie Walton-Macaulay Ph.D., P.E., Saint Martin’s University With degrees in both
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
, modeling,number line, functions, rover, statistics, tug of war, and algebraic expressions. For further detailsof the PD program, see [15,21].At the end of the PD, the research team verified that the teachers had become self-sufficient toteach robotics-based science and math lessons in their classes. To assess the confidence and self-efficacy of teachers, the research team conducted a post-program survey. In the survey, teacherswere inquired about their confidence, motivation, teaching effectiveness, and interest in classroomteaching of robotics-activity based lessons. A total of 20 teachers responded to the survey of whom17 teachers strongly or somewhat agreed that the PD participation increased their confidence as ateacher. Moreover, 18 teachers
-Jan-2019][4] S. A. Ambrose, M.W. Bridges, M. DiPietro, M.C. Lovett, and M.K. Norman, How learning works : seven research-based principles for smart teaching: John Wiley & Sons, 2010.[5] A. Williams, "Online homework vs. traditional homework: Statistics anxiety and self- efficacy in an educational statistics course," Technology Innovations in Statistics Education, vol. 6, no. 1, 2012.[6] D. S. Brewer and K. Becker, "Online homework effectiveness for underprepared and repeating college algebra students," Journal of Computers in Mathematics and Science Teaching, vol. 29, no. 4, pp. 353-371, 2010.[7] J. Mestre, D. M. Hart, K. A. Rath, and R. Dufresne, "The effect of web-based homework on
quitting, suggesting that the most pertinent information should appear in the first half ofthe video.Wu et al. investigated the key factors of student learning satisfaction in a blended e-learningenvironment, where instruction consisted of a mix of face-to-face and online education. 9 Theyargued that a blended learning environment has the potential to maximize the best advantages ofboth instructor-driven and online education. Using questionnaire data, they discovered thatcomputer self-efficacy, system functionality, content feature, and interaction all impact a student’sexpectations, learning climate, and satisfaction of a course.Lim et al. looked at the differences in learning outcomes and student perceptions betweenstudents enrolled in two
interdisciplinaryengineering field to inform adaptive undergraduate curricular reform. Interdisciplinaryengineering programs and courses, those that focus on solving problems that require skills andtechniques of multiple disciplines [1], have gained traction in engineering education [2], [3].Such programs have also been shown to promote 21st century skills (critical thinking, complexproblem solving, self-efficacy, etc.) [4] and diversity in the engineering pipeline [5]. One fieldthat both embodies the characteristics of interdisciplinary engineering and has motivated thedevelopment of undergraduate specific programming is tissue engineering and regenerativemedicine (TERM). TERM, a subfield of biomedical engineering (BME), brings togetherresearchers from a variety of
positive and significantrelationship with workplace learning and job performance [4]. Entrepreneurially mindedengineers are not just the entrepreneurs with engineering degrees; they are able to fill both theroles of traditional staff engineers as well as leadership roles within organizations [5].The set of teaching and learning strategies that aim to support the KEEN 3Cs framework for EMis referred to as Entrepreneurially Minded Learning (EML) [6]. Oftentimes, EML builds onactive pedagogies, such as Project-Based Learning (PBL), and focuses holistically onopportunity recognition, stakeholder awareness, discovery, and value creation [7]. There arethree entrepreneurial learning domains EML targets: affective factors (such as self-efficacy,intention
engineers than non-HSIs [6]. Focusing efforts atthese institutions has the potential to increase representation of the Latinx population inengineering.Faculty play a critical role in educational change efforts and within the day-to-day support ofstudents’ self-efficacy and self-regulated learning behaviors [7], [8]. For Latinx students, inparticular, faculty support is a key factor in student retention [9]. Faculty support students byserving as role models and mentors, which if maintained, particularly outside the classroom, cancontribute to higher student satisfaction and persistence to graduation [10].Within engineering programs at HSIs, and engineering programs more broadly, instructional,non-tenure track faculty comprise nearly 14% of the
belonging and academic integration (expectations students havefor positive student-faculty interactions are met), positively relates to self-efficacy [4], [16]. ForURM students within STEM fields, insufficient support systems, stereotype internalization, andexperiencing racism and isolation have been recognized as elements that influence attrition [17].Working to improve the climate within undergraduate engineering programs can address thesefactors and may lead to improvements in the retention of women and URM students. Insummary, it is important that instructors are aware of these potential barriers to success, attunedto how students are experiencing learning in their classrooms, and address issues that contributeto a chilly classroom climate
’ academic and non-academic performances.Research13 indicates that students who engage in these types of learning experiences showpositive attitudes toward learning itself, collaborative behavior, and team communication.Students’ interests, self-confidence, and self-efficacy developed especially when the tasks relatedto real-world experiences. Eighty-five percent of the students strongly agreed or agreed that theworkshops helped them understand the work of engineers, and 78% reported the workshophelped them think like engineers. More than half the students reported that the workshop madethem think that they may want to become engineers. Additionally, 81% reported they learnedsome new engineering ideas they did not know before the workshop.Another
of First Generation Community College Students," Community College Review, vol. 26, no. 4, pp. 3-22, 1999/04/01 1999.[15] W. C. Lee and H. M. Matusovich, "A Model of Co-Curricular Support for Undergraduate Engineering Students," Journal of Engineering Education, vol. 105, no. 3, pp. 406-430, 2016.[16] M. Meyer and S. Marx, "Engineering Dropouts: A Qualitative Examination of Why Undergraduates Leave Engineering," Journal of Engineering Education, vol. 103, no. 4, pp. 525-548, 2014.[17] J. A. Raelin, M. B. Bailey, J. Hamann, L. K. Pendleton, R. Reisberg, and D. L. Whitman, "The Gendered Effect of Cooperative Education, Contextual Support, and Self-Efficacy on Undergraduate Retention
topics and real-world problems [1], [2]. The lack of thisconnection could be due to time and context separation [2].The lack of connection and understanding could impact students’ attrition rates. Engineeringgraduate rates in the US have been consistently around 50% over the last 60 plus years [3]–[8].Many factors contribute to these low rates, such as classroom and academic climate, grades andconceptual understanding, self-efficacy and self-confidence, high school preparation, interest andcareer goals, and race and gender [9]. The classroom environment and academic climate mayinclude factors such as the lack of feeling engaged or differences in teaching styles. Grades andconceptual understanding means difficulties in understanding concepts and
technicians that can adapt to new processes, systems,and equipment were mentioned repeatedly by employers. This poses an interesting question forfuture work in this area: How can future AM technicians be taught to problem-solve anddevelop the self-efficacy, motivation, and initiative needed to operate systems they haven’t seenyet? Although this study did not focus on non-topical nouns, more work should be done in thisarea.The creation of an AM Body of Knowledge (BOK), which combines the competencies thatemployers, academia, and professional
gather thestudents’ perceptions. Others have used Likert-type scales in the context of design assessment; afew examples include a decision-making tool for prototyping9, self-efficacy surveys in a designcourse10, and learning outcomes surveys for pre-capstone teams11.Despite the ubiquity of Likert-type scales within the design literature, there are a number of keychallenges that researchers have experienced while using them. Studies have found that peopleanswering questions using Likert scales may preferentially choose options on the ends of the scaleinstead of choosing less extreme answers12. Other studies have shown that misuse (ormisunderstanding) of the midpoint on the Likert scale can confound results; if someone wants toavoid a question, or