students were initiallyconcerned about being seen as weak students in class and felt it was important to demonstratecompetence to others. However, these two goals were significantly lower by the end of thesemester, indicating that they decided that it was not so important if people thought they wereweak students. They may also have become more willing ask for help.For the spring 2010 students, significantly higher ratings were seen for the Academic Efficiencyand the Mastery Goal Orientation constructs. This suggests that these students gainedconfidence in their ability to master difficult work, to study more effectively and in theiracademic self-efficacy
withlongitudinal data of 22,000 students that S-L had significant positive effects on 11 outcomemeasures that included: academic performance (GPA, writing skills, critical thinking skills),values (commitment to activism and to promoting racial understanding), self-efficacy, leadership(leadership activities, self-rated leadership ability, interpersonal skills), choice of a servicecareer, and plans to participate in service after college.Eyler and Giles (1999) found S-L to impact positively: personal development, interpersonaldevelopment, and community-to-college connections. Students reported working harder, beingmore curious, connecting learning to personal experience, and demonstrated deeperunderstanding of subject matter. They found that S-L is more
novel ways.85 In other words the theories’tenets are left unexamined (hence prepackaged), and theoretical development does not occur. Page 24.934.8Some examples of theories popular in EER that have been employed this way include self-efficacy, social capital, and some identity theories. However, as Anyon and others have argued,to deeply understand the complexities of a given phenomenon, the evidence collected should alsobe contrasted with the theory (or theories) the researcher employs.86-87 Concept matching as thedominant use of theory in engineering education is not unique: it reflects the dominant use oftheory in education research more
case study, the term learning is a student activity that may includeexplorative strategies, scheduling, or reflection. In contrast, the term instruction is a purposefulfunction of the educator to communicate with learners that often includes scaffolds such asprompting, modeling and phasing task assignments.Literature Review Page 24.1220.2 There is enduring, convincing evidence of knowledge transformation throughcollaboration. When compared to individual learning, collaborative learning has been shown tobeneficially impact learner achievement, self-efficacy, and relationships among learners4. In areview of 168 studies contrasting
Engineering Beer’s Law ModuleDesign Process Portfolio Scoring RubricEngineering Cartilage Regeneration! Summer Physics Camp for GirlsClues to becoming a STEM Major: How the Top 5 STEM Projects in IndependentSAT Questionnaire and AP exam taking Schoolspatterns & performance can predict STEMmajorsAppendix BConcurrent Session C Concurrent Session DResearch and Curriculum: Biofilms and Inspired Design: Engaging Girls in STEMDeutschland through Product DevelopmentEngineering, implementing and assessing a Engaging Girls in STEM: What therich STEM educational experience research showsImproving Girls' Self-Efficacy Micro-messages: The
statement to their peers of their academic failures.4 Students who are notconfident in their ability to perform well in a course are more likely to seek help than their moreconfident peers.7 A 2004 study done at Texas A&M University demonstrated that students whowere more engaged in supplemental instruction had significantly lower self-efficacy, butachieved higher final course grades.7The personality of the tutor is also an important factor students consider when seeking extrahelp.5 Students feel that traits associated with a good tutor are empathy, patience, sensitivity,diplomacy, friendliness, intuitiveness, supportiveness, responsiveness, and care.8 If students feelthat tutors are arrogant or not empathetic to their concerns, they are
students whoderive a sense of self-efficacy from demonstrating their capabilities, while students not in thatcohort may experience discouragement due to their perceived lack of the necessary skill level.The primary consideration is that the educational environment should foster students' autonomousskill development and provide them with the requisite feedback to facilitate personal growth. Thestructure of the engineering curriculum is such that, for numerous courses, there are prerequisitecourses in which students must attain a specified grade to be eligible for enrollment in advanced-level courses. This structure is predicated on the principle of knowledge acquisition, wherein thegrade serves as a criterion, with students above the threshold
and financial aidplanning, but also self efficacy, transfer shock and feelings of connectedness. As such, apartnership with UWT has great potential to increase the effectiveness of interventions initiated atHighline by leveraging the knowledge, data, and resources of both institutions and boostingstudent retention rates and reducing graduation timelines at the 2-year and 4-year levels.Guided Pathways Implementation at Highline: In April 2019, Highline joined a cohort ofWashington State Board for Community and Technical Colleges (SBCTC) in implementingGuided Pathways. As a student-centered framework designed to increase and diversify thestudents and communities accessing and earning high-value credentials, using data and solicitingstudent
socialunrest, as well as fires, hurricanes, floods, and other emergencies [1] may also cause disruptions.Such disruptions, on the student side, may lead to, among other things, feelings of isolation,anxiety, and stress [2]; reduced motivation, self-efficacy, and achievement [3]; and retentionissues [4]. The use of a learning management system (LMS) has been shown to mitigatechallenges associated with disruptions, prompting researchers to better understand the degree towhich LMS features are used and how they can be used more effectively. This study wasconducted to discover how instructors utilized a LMS before, during, and after a disruption.Findings from this study can be used by policy makers and educators to plan how best to useLMS features given
Paper ID #42725Board 68: Integration of Learning by Evaluating (LbE) within the 5E InstructionalModel in Engineering-Design EducationDr. Wonki Lee, Purdue University Wonki Lee received a Ph.D. in Education, Curriculum Instruction, Language and Literacy at Purdue University. She received her bachelor’s and master’s, specializing in Korean language education as a second/foreign language, from Seoul National University, South Korea. Her research interests are self-efficacy, culturally responsive teaching, and machine learning in a diverse educational setting.Prof. Nathan Mentzer, Purdue University Nathan Mentzer is a
. Differences in self- efficacy among women and minorities in stem. Journal of Women and Minorities in Science and Engineering, 21(1), 2015.[20] Francesca Dupuy, Elliot P Douglas, and Paul G Richardson. Isolation, microaggressions, and racism: Black engineers in technology companies. In 2018 ASEE Annual Conference & Exposition, 2018.[21] Ebony O McGee and Danny B Martin. “you would not believe what i have to go through to prove my intel- lectual value!” stereotype management among academically successful black mathematics and engineering students. American Educational Research Journal, 48(6):1347–1389, 2011.[22] Thomas F Pettigrew. Intergroup contact theory. Annual review of psychology, 49(1):65–85, 1998.[23] John F Dovidio
teaching, learning, and retention of first year students. J. Fac. Dev. 21(1), pp. 5-21.[37] J. MacGregor, J. L. Cooper, K. A. Smith, and P. Robinson, Editors. (2000). Strategies for energizing large classes: From small groups to learning communities. New Dir. Teach. Learn. 81.[38] M. M. Jameson and B. R. Fusco. (2014). Math anxiety, math self-concept, and math self-efficacy in adult learners compared to traditional undergraduate students. Adult Educ. Quart. 64(4), pp. 306-322.[39] M. Dang and K. Nylund-Gibson. (2017). Connecting math attitudes with STEM career attainment: A latent class analysis approach. Teach. Coll. Rec. 119(6), pp. 1-38.[40] H. M. Watt, J. S. Hyde, J. Petersen, Z. A. Morris, C. S. Rozek
entrepreneurs of 21st century: Literature review,” J. Manage. Sci., vol.media, websites, and blogs, while supporting sustainable 21, no. 1, p. 16, 2023.expansion and social justice efforts. These conclusions are [18] N. A. A. Abdelwahed, B. A. Soomro, N. Shah, and U. N. Saraih,based on the literature review but may evolve due to the rapid “Effect of institutional support and entrepreneurial knowledge on women’s entrepreneurial self-efficacy and venture performance in atransformation of Saudi Arabia, particularly in women’s developing country,” Int. J. Innov
include subscales that assess research abilities, leadership potential, self-efficacy,sense of one’s identity as a scientist, plans to attend graduate school, plans to pursue engineering,mentorship connections, attitudes toward research, etc. The conclusions drawn from the SageFoxassessment report are presented in this section and available on the program website [15].REU HighlightsThe data collected during the four years of the program shows that the program has beensuccessful during the pandemic and beyond. The results from the survey suggest that there hasbeen an increase in STEM knowledge, confidence, and high intention to pursue engineering as adegree. Even though the program has been successful and met its goals, the data results showthat
Fear of Failure, Procrastination and Self-Efficacy to Academic Success in College for First and Non First-Generation Students in a Private Non-Selective Institution. 2013.18. Chen X, Carroll D. First-Generation Students in Postsecondary Education A Look at Their College Transcripts Postsecondary Education Descriptive Analysis Report.; 2005.19. Hoffman M, Richmond J, Morrow J, Salomone K. Investigating “Sense of Belonging” in First-Year College Students. J Coll Student Retent Res Theory Pract. 2002;4(3):227-256.20. Foor C, Walden S, Trytten D. “I wish that I belonged more in this whole engineering group:” Achieving individual diversity. J Eng Educ. 2007;(April):103-115.21. Stevens R, O’Conner K, Garrison L
students hone their skills and adapt their knowledge to new situations. For example, coursesyllabi typically include a list of learning objectives upon which students’ performance will bebased. The purpose for these learning objectives, however, is not often clear to students (e.g.,Why is this material important to know, how does it apply in the real world, and how will myprogress be evaluated?). Learning objectives in an electric circuits class, for example, may state,“Upon completion of this course, students will be able to:” followed by a list of items such as“measure voltage in a series circuit”, or “calculate current in a parallel circuit.” While learning tomeasure voltage and current are important skills to learn in an electric circuits
andEngineering] project are to measure if improvements in student learning outcomes, studentengagement, and successful course completion are possible if the structure in basic materialsengineering courses are transformed from primarily deductive practice to an InformationCommunication Technology (ICT) enabled inductive teaching and learning environment. Thespecific innovations that are proposed in the project are the development of MSE educationapplications for the iPod Touch that are designed to facilitate and support collaborative learningexercises which target specific student learning objectives which are known to be challenging formany students in MSE courses. It is hoped that the combination of specific learning objectivetargets, completed in
c American Society for Engineering Education, 2012 The iCollaborate MSE Project – 2012AbstractThis paper describes the progress to-date on the various components of the iCollaborateMSE [Materials Science and Engineering] project, as well as the preliminary assessmentdata that has been collected. The overall objectives of the research are to measure ifimprovements in student learning outcomes, student engagement, and course completionrates are possible if the structure in a basic materials engineering course is transformedfrom primarily deductive practice to an Information Communication Technology (ICT)enabled inductive teaching and learning environment. There are two major componentsof this research project. The first
extracting the data and specifically the goalof the research. One researcher analyzed all 26 studies and found different patterns of goals,which were discussed with and verified by a second researcher. The majority of the studies weredivided into managerial and individual factors establishing a relationship with OR and emergentcapabilities of OR from case studies. Thus, the first category is “Managerial and IndividualFactors Establishing a Link with Organizational Resilience at any Level”, which are studies thatanalyze Managerial concepts (e.g., organizational response, organizational sustainability,organizational myopia, institutional effectiveness) and Individual factors (e.g., self-efficacy,personal resilience, leadership style) evaluating the
challenging opportunities for professional growth. Effective mentoringengagements must be within the limits of healthy mentoring relationship, defined as functionalmentoring [18]. Benefits of functional mentoring to mentees include guidance, support,feedback, and enhanced networks. The benefits from the guidance provided by mentors includeacademic guidance, career development, personal guidance, and overall aid in the socializationof the graduate student. Mentors’ correct feedback can benefit mentees by helping them survivegraduate school, promoting the professional and career development of mentee, and providingthe right directions. A longitudinal study on the effect of mentorship on the researchproductivity, career commitment, and self-efficacy of
, 2021 Community Designers: A Pilot Virtual Community Co-Design Symposium1. Introduction: Who Controls the Power of Design?What if you did not get to select your clothes? What if, instead, certain sizes, colors and styleswere assigned to you based on what’s typical for your demographic identities? Not only wouldyour clothes not fit your shape or your taste, they might even cause further social andprofessional problems. At an even deeper level, not having the autonomy to make thesedecisions would undermine your self-efficacy and your trust in the institutions that are supposedto help and support you.This scenario illustrates, by analogy, what happens to communities all the time. Policies
, can lead to better communication and trust. What emerges is a more healthy relationship.Students gain what they wanted all along - to learn what will help them later on. And faculty gainwhat they want - deeper respect from their students.The focus so far has been largely on skills and knowledge. But as we are exiting the knowledge-based world in which we were educated, attitudes and mindsets are being recognized as moreimportant factors of later success 33,34,35,36,37 . In the literature these attitudes include grit, curiosity,self-efficacy, the growth mindset and others. Whatever the makeup or nature of a mindset, mostpedagogical methods short circuit the development of these mindsets. To take one specific mindset,we know that students are
, can lead to deficit-based thinking and discriminatory behaviors [11], [13]–[15].The ideology of meritocracy also perpetuates inequities in engineering through its reliance on theconcept of “merit” to compare individuals. “Merit” is often defined as synonymous with “talent,”“achievement” and/or “hard work” [3]–[6]. The logic of meritocracy suggests that individualswho possess more “merit” deserve more rewards and opportunities [2]–[6]. However, evaluating“merit” is not a straightforward process. Attempts to do so have often reproduced existinginequalities. For instance, standardized tests such as the SAT have historically been used as aproxy measure for student merit in the context of seeking admission to selective colleges [3], [5],[6
relevant resources, which will beintroduced to all departments through an orientation and follow-up communications.Guided Engineering Apprenticeship in Research (GEAR): Launched in 2019, GEAR is ayear-long research experience for early undergraduates that aims to provide a scaffoldedexperience to support the development of students’ research self-efficacy, engineering identity,and sense of belonging and inclusion within the field--especially among underrepresented, firstgeneration, and low-income students. The program is based on the NSF-funded Early ResearchScholars Program in the Computer Science and Engineering Department [14]. Assessment of thepilot year of the GEAR program found that 1) participants gained research skills/knowledge inways
racial understanding), self-efficacy,leadership (leadership activities, self-rated leadership ability, interpersonal skills), choice of aservice career, and plans to participate in service after college. “These findings directly replicatea number of recent studies using different samples and methodologies.”(p.i) 7 They found that S-L to be significantly better in 8 out of 11 measures than just service without the courseintegration and discovered “strong support for the notion that service learning should be includedin the student’s major field.”(p.ii) 8Eyler and Giles9 in a classic study included 1500 students from 20 colleges/universities in astudy of the effect of S-L. Service-learning was found to impact positively: tolerance fordiversity
to complete it (r = .60, p < .01). Not surprisingly, studentswho planned to major in engineering/technology were much more likely to be confident in theirability to complete their degree (r = .71, p < .01). Table 3: Pearson Correlations for Students’ Perceptions of the NCJETS Clubs, Academic Self- Efficacy, and Attitudes toward Engineering/Engineering Technology Enjoy Interest Math Sci Understand Major Conf Contribute Enjoy 1 Interest .37** 1 Math .16** .16** 1 Science .18** .12* .40** 1 Understand .20** .39** .24** .30** 1 Major .13* .55** .16** .11 .45** 1
, cooperative learning, andrecruitment of under-represented groups in engineering; it also leads to better retention ofstudents, and citizenship (3), as well as helping meet the well-known ABET criteria (a)-(k) (4).Astin et al. (5) found with longitudinal data of 22,000 students that S-L had significant positive Page 14.1055.2effects on 11 outcome measures: academic performance (GPA, writing skills, critical thinkingskills), values (commitment to activism and to promoting racial understanding), self-efficacy,leadership (leadership activities, self-rated leadership ability, interpersonal skills), choice of aservice career, and plans to participate in
difficult decisions about how they allocate their time. Financialcost refers to students’ perceived challenges related to both expenses associated with doctoralstudy and opportunity costs related to devoting time to their degree instead of potentially morelucrative employment. Academic cost reflects students’ challenges related to both the culturaland academic demands associated with pursuing a doctoral degree, and does not exclusivelyreflect their sense of self-efficacy in engineering.IV. MethodsLimited empirical literature suggests returning students may face distinct challenges related totheir decisions to pursue engineering doctoral study. Our team’s prior work7, 29 suggests Eccles’expectancy-value theory is a useful lens for examining the
to create measures of neighborhood socioeconomic status for each student [19]. Otherdemographics of race/ethnicity, gender, and parent education status were collected are presentedwithin this work to inform about the study population and to support our claims of the existingunderrepresentation of minoritized groups in our data and engineering as a whole [9].Students who provided a ZIP Code and were identified as being enrolled in engineering (n = 2,372)were the focus of this study. Each student was then classified as “low,” “middle,” or “high”neighborhood socioeconomic status. Initially, we attempted to separate by average federalrepresentations of individual socioeconomic class; $0 to $39,554 (low), $39,555 to $118,072(middle), and $118,073
program evaluation, and coordinates the Research and Evaluation Laboratory (REL) in the College of Education at UTEP. He is an expert on educational research with an emphasis on quantitative methods and the application of univariate and multivariate statistical procedures, measurement issues across diverse populations, educational assessment, and eval- uation of educational programs. He has served on over 87 doctoral dissertation committees; published more than 45 refereed research articles; and presented at more than 100 international, national and re- gional research conferences. Some of his more general research areas of interest include teacher and student’s self-efficacy and motivation research, reading and