variablesthat influence an individual’s career behaviors [17–20]. Derived from Bandura’s general socialcognitive theory [29], self-efficacy, outcome expectations, and personal goals are central facets ofthe framework, and are considered foundational aspects for career development [19]. Applying abidirectional causality model, personal attributes (including physical characteristics and affectivestates), actions, and external environment factors describe the influences that shape choices.An overview of SCCT as it pertains to computing careers and preparation is shown in Figure 1,adapted from a combination of Lent et al. [17] and other STEM-specific researchers [30, 31].Achieving mastery of skills (performance and accomplishment), social persuasion
who has worked with social scientists for 20+ years. She has investigatedengineering student identity development, self-efficacy, motivation, goal orientation, cognitiveflexibility, adaptive expertise, complex problem solving, etcetera in collaboration with socialscientists (Pierrakos, 2017; Pierrakos, 2016; Pierrakos et al., 2016a; Pierrakos et al., 2016b;Williamson et al., 2016; Pappas et al., 2013; Pierrakos et al., 2013; Pierrakos et al., 2010a;France et al., 2010; Pierrakos et al., 2010b; Zilberberg et al., 2010b; Pierrakos et al., 2010c;Pierrakos et al., 2009; Pierrakos and Trenor, 2009; Trenor and Pierrakos, 2008). These uniqueperspectives in understanding engineering students and knowledge gains as an interdisciplinaryand cross
I belonged more in this whole engineering group:” Achieving individual diversity. Journal of Engineering Education, 2007. 96(2): p. 103-115.28. Johnson, M.J. and S.D. Sheppard, Relationships between engineering student and faculty demographics and stakeholders working to affect change. Journal of Engineering Education, 2004. 93(2): p. 139.29. Raelin, J.A., et al., The gendered effect of cooperative education, contextual support, and self ‐efficacy on undergraduate retention. Journal of Engineering Education, 2014. 103(4): p. 599-624.30. Ro, H.K. and D.B. Knight, Gender Differences in Learning Outcomes from the College Experiences of Engineering Students. Journal of Engineering Education, 2016. 105(3): p. 478-507.31
Lab Learning Outcomes that resulted specifically from completion ofthe lab exercises. Figure 4: Pneumatic Finite State machineAssessment StrategiesAs a method of direct assessment for the lab experiences, students were given a pre-quizbefore the first PLC laboratory and then the same quiz with randomized question order andrandomized answer order after each PLC lab as a post-quiz. Students were not allowed to seewhat they had gotten incorrect on any of their previous attempts. An example of this quiz isshown in the appendix of this paper.To indirectly assess the effectiveness of the lab exercises in helping students achieve thelearning outcomes, students were asked to rate their self-efficacy in an anonymous 7
Wave 2 Surveys Wave 4 Surveys Control Group Workshop (After data collection) Figure 1: Research design 1. How an instructor is currently using active learning; 2. An instructor’s self-efficacy in using active learning; 3. The value the place on using active learning in their classrooms; 4. An instructor’s use of strategies
support student learning in an integrated STEM learning environment,” Int. J. Technol. Educ. Sci., vol. 4, pp. 1–11, 2020, doi: https://doi.org/10.46328/ijtes.v4i1.22.[2] J. Vahidy, “Enhancing STEM learning through technology,” echandcurr2019.pressbooks.com. https://techandcurr2019.pressbooks.com/chapter/enhancingstem/ (accessed Jan. 30, 2022)[3] M. Menekse, S. Anwar, and S. Purzer, “Self-efficacy and mobile learning technologies: A Case study of CourseMIRROR,” in Self-Efficacy in Instructional Technology Contexts, C. B. Hodges, Ed. Cham: Springer International Publishing, 2018, pp. 57–74. doi: 10.1007/978-3-319-99858-9_4.[4] A. B. Raupp, “How video games help students level up stem learning,” Forbes.com. https
while they were in Korea.Specifically, evaluation methods include: 1. Registration form: When the selected five students register, they will complete a form that includes questions (open-ended and Likert scales) about their expectations for the program and research & cultural preparation. 2. Pre-program survey: This survey will include questions about expectations (open-ended and Likert scales) as well as questions that gather baseline data regarding knowledge, perceptions, and self-efficacy. The latter questions will be matched to post-program survey questions. 3. Mid-program survey: This survey will collect formative feedback regarding the program experience and structure. 4. Post-program survey
. Page 14.796.6Figure 4. Array of Project Content Categories Figure 5. Dispersal of Project Content Focus in Selected ME310 Projects (1979, 1999, 2006)Map to Current ME310 Course Content FocusMechanical Engineering 310 is a master’s level course at Stanford University in mechanicalengineering and design. Students are set up in teams and spend the school year, over threequarters, attacking a problem supplied by industry, having the freedom of time, money ($15K)and plenty of self-efficacy. Many students have had design classes their senior year but ME310serves as a Capstone Plus course wherein rather than learning through a problem-based learningenvironment, the students are in a product
Orbis Foundation. Fulcher, K. (2004). Towards Measuring Lifelong Learning: The Curiosity Index. James Madison University. Karwowski, M. (2014). Creative Mindsets: Measurement, Correlates, Consequences. Psychology of Aesthetics, Creativity, and the Arts, 8(1), 62‐70. Karwowski, M., Lebuda, I., Wisniewska, E., & Gralewski, J. (2008). Big Five Personality Factors as the Predictors of Creative Self‐Efficacy and Creative Personal Identity: Does Gender Matter? The Journal of Creative Behavior, 47. Kaufman, J. C. (2012). Counting the muses: Development of the Kaufman Domains of Creativity Scale (K‐ DOCS). Psychology of Aesthetics, Creativity, and the Arts, 6(4), 298‐308. Krueger, N. (2015). Entrepreneurial Education in
instrument. Aggregation provides increased power for inferential statistics to examinethe outcomes of the intervention on construct(s) of interest – including ones related to self-efficacy and place attachment. It also allows for more robust descriptive statistics to examinedifferences between characteristics of interest.Interviews Exploring Attachment to PlaceGiven our interest in the emergence of attachment to place within the C-EEEM efforts as anoutcome, the research team retained an independent external evaluator [24] specializing inenvironmental sociology to validate and expand on our findings. As noted, qualitative datacollection by internal researchers through the duration of the grant indicated a positive shift bymost interns in place
. Assignments Design 10 % This grade is determined based on your design performance Performance relative to design specifications at the end of the design process. Final 15 % Oral presentation on design project. Presentation Self-Efficacy 5% Online surveys which will compare knowledge and abilities before Surveys and after the course. Students receive emails prompting to complete these surveys on the designated weeks. Teamwork 10 % These will be two teamwork survey assignments throughout the Assessment quarter, each is available on Blackboard Learn
be measurable through improved undergraduate student evaluations, and2) publications and conference presentations by the instructional team for the benefit of the broaderengineering education community. 4OutcomesProgram Outcomes are classified according to short-, intermediate-, and long-term targets. In theshort-term, the individual participants should develop increased self-efficacy about their teaching,as well as an awareness of how their leadership skills can be enhanced through effective teach-ing.In the intermediate-term, our goal is to improve trends in undergraduate student feedback andfaculty satisfaction with GTA performance. An accompanying goal is that GTAs on the campuswill exhibit
.Simpson, et al. 9 believe that interdisciplinary experience is more representative of what studentswill find in the real world and advocate interdisciplinary capstone projects. Schaffer, et al. 10have concluded – based on their study of 256 students from 60 teams - that Cross disciplinaryTeam Learning (CDTL) increases self-efficacy across all respondents. Apelian11 believes thatone of the important skills for the 21stcentury engineer is the ability to work with anybodyanywhere. He concludes that we need to educate engineers such that they understand the societalcontext of their work and have an understanding of the human dimension around the globe,coupled with innovation and creativity. Michaelsen, et al.12 have claimed that innovation
.[11] Walter R Boot, Neil Charness, Sara J Czaja, Joseph Sharit, Wendy A Rogers, Arthur D Fisk, Tracy Mitzner, Chin Chin Lee, and Sankaran Nair. Computer proficiency questionnaire: assessing low and high computer proficient seniors. The Gerontologist, 55(3):404–411, 2015.[12] Center for Digital Dannelse. The digital competence wheel. https://digital-competence.eu, 2016. Accessed: 02-06-2024.[13] Francisco G Barbeite and Elizabeth M Weiss. Computer self-efficacy and anxiety scales for an internet sample: testing measurement equivalence of existing measures and development of new scales. Computers in human behavior, 20(1):1–15, 2004.[14] Kelly S Steelman and Kay L Tislar. Measurement of tech anxiety in older and younger
mathematical self-efficacy and problem solving skills). The research project is in its second year of implementation. Last year 120 students were introduced into the course, and this year 80 more students are involved in the project. Thus far, the results of the project have shown a strong correlation between student engineering interest, aptitude, programming understanding, and an increased understanding of mathematics.IntroductionMathematics has long been regarded as an essential skill, as noted by the American Society forEngineering Education’s mathematics division (Selingo, 2008). The Cold-War era “space race”pushed engineering awareness, mathematical, and scientific ability to the fore of our educationalsystem. And
, girls learn science better when the curriculumspecifically links mathematics, science, and technology to the real world and integrates thesetopics as well. Girls learn well when the coursework is collaborative and utilizes girls’ verbalskills. Literature has also shown that girls learn science well in classrooms that use hands-oninvestigations while encouraging girls to be experts and technology controllers. Thesecharacteristics help girls to have a feeling of self-efficacy necessary to combat negative attitudesand personal disbeliefs. Girls’ interest in physics can be stimulated by relating content to priorexperiences, encouraging discussion on the social importance of physics, and showing physics inrelation to the human body. While acting as
STEM activities,interest in STEM careers, a sense of STEM identity (“I am a science person”), and anunderstanding of the role of science and technology in everyday life. As shown in Exhibit 4,FIRST participants score significantly higher than comparison students on all five STEM-relatedmeasures after controlling for baseline scores and participant characteristics.There were no significant differences, however, between FIRST participants and comparisonstudents for non-STEM measures used in the study, including academic self-concept, collegesupport, self-efficacy and prosocial behavior, 21st century skills, and the 21st century skillsubscales for teamwork, problem solving and communication. These results are consistent withthose found in earlier
complete autonomy to organize, schedule, and run the program as they seefit. The upper layers of the program – the graduate student and the faculty member – providesupport, advice, and resources, but the undergraduate students are the ones iterating and formingthe program. Through these means, the program has evolved in several ways, including theintroduction of group meetings and a semesterly service project, which were the directimplementations of student ideas. This focus on student voice and agency enables students tobuild self-efficacy and make meaning from their experiences with the mentorship program.IntroductionThis paper describes a mentorship program for undergraduate engineering students at a publicurban research university, and it will
reviewedthe written work from their own class and identified emergent themes from them that occurred inthe ungraded versions. Two of these themes (student agency and self-efficacy) were overlappingbetween the two courses. The third theme (developing life-long learning) was only present in theMATLAB course. Representative student comments were chosen as examples for the overallthemes identified. While many of the student qualities discussed from this section below cannotbe directly measured, the comments are representative of the general trends observed.Results:Midterm Grade ConferencesAt midterms, there was 55% (20/36) and 38% (14/37) agreement between instructor and studentestimated grades for the Intro to MATLAB programming and First year
Bandura’s theory to explain the development of career interests, choices, andperformance. According to their Social Cognitive Career Choice Model, shown in Figure 1,person inputs, such as gender, affect outcome expectations through learning experiences.Outcome expectations in turn have both direct and indirect effects on choice goals. In this Page 14.306.2context, a choice goal is the occupation that a person chooses to pursue, which leads to choiceactions, such as enrolling in an appropriate program for the chosen profession. Self-efficacy alsoplays a large role in the development of outcome expectations, interests, choice goals, choiceactions, and
better than those receiving face-to-face instruction” [5]. A study of college algebra students at a community college producedsimilar findings, showing that online homework was “just as effective as textbook homework inhelping students learn college algebra and in improving students’ self-efficacy” [6]. It was alsoobserved that “online homework may be even more effective for helping the large population ofcollege algebra students who enroll in the course with inadequate prerequisite math skills.” Someuniversities have found that the use of WeBWorK correlated with small, yet statisticallysignificant improvement in performance on exams relative to classes that did not use it [7, 2].Diverse groups of students seem to react positively to using
similar summer research programs offered at universitiesaround the country. The framework of the supporting features of Northeastern University’sprogram is what enables participants to succeed in the labs, build self-efficacy in STEM andprepare them for their academic journey into college. The weekly schedule is supported throughmorning homerooms during which a variety of topics and activities are introduced, in addition tolunchtime technical seminars, and field trips to local companies and research facilities. Utilizingformative evaluations, such as weekly reflections to inform program design and implementation,allows staff to make adjustments that might be necessary to ensure a high level of participant andfaculty satisfaction with the program
boost students’ interest inSTEM fields is to increase teachers’ perceptions and self-efficacy with engineering and STEMconcepts [6]. While most teachers have the necessary educational background in math andscience, their knowledge and experience related to engineers, engineering and technology arevery limited [7]. This causes a lack of widespread engineering education at the K-12 level.Previous research reveals that teacher professional development programs have a positive impacton the students’ achievement [8, 9] as well as providing benefits to the teachers. With this inmind, STEM focused teacher professional development programs that provide opportunities tothe teachers to engage in authentic STEM and specifically engineering and technology
participated in the program more prepared to participate in their Science FairProjects? And is their performance in math and science courses influenced by this experience?This may also include qualitative feedback from the teachers that participated in the pre-activities, I2D2 event, and post-activities.Finally, one other aspect of the program that will be added for the 2012-2013 school yearsurrounds parent involvement. And specifically, exposure of parents to STEM fields and thethought process as well. Numerous studies have been conducted to explore the relationshipbetween parental involvement, support, and views towards their child’s motivation, self-efficacy,and long term aspirations and achievements. For example, Fan and Williams reported
to selectedstudents. In addition to the scholarship funds, S-STEM programs offer additional activities andresources [1]-[4]. For example, Southern Methodist University provided their S-STEM studentswith weekly seminars and block scheduling which positively impacted the students and theirability to excel academically. While various academic and support resources are included in theimplementation of the S-STEM Program discussed here, this paper’s focus is the impact ofweekly lunches on our students.Student retention is typically influenced by feelings of self-efficacy and inclusion in engineeringspaces [5]-[6]. Reasons for attrition include classroom and academic climate, grades andconceptual understanding, self-efficacy and self-confidence
female mentors, and female engineeringprofessors. Given each survey question resulted in strong positive statistical significance, theresearchers are encouraged to continue and expand this effort.It should be noted that the researchers recognize the sample size is small, and thus, it is notpossible to draw definitive conclusions based on these results. Further analysis is planned tomeasure the impact of this activity on academic performance and retention. Additionally, self-efficacy surveys were given in the engineering course and during the INSPIRE workshop. Thisdata will provide more depth to the analysis of the impact of the workshop experience.References[1] National Center for Science and Engineering Statistics (NCSES). 2023. Diversity and
,students followed a set of directions to build their heat engines provided by the instructor; next,students redesigned their heat engines with the goal of increasing the device’s efficiency. At theend of the class, students completed some questions to help them reflect on the activity and itsconnection to efficiency, the design process, and the operation of power plants, and the instructorled a brief discussion during which participant groups shared their results.Analysis and Discussion Several assessment methods were implemented to determine the effectiveness of the E-GIRLprogram with respect to the students’ technical skill, self-efficacy, perceptions of engineering,and interest in engineering. Pre- and post-surveys were conducted asking
that self-efficacy and learners' achievement goals significantly impact STEMcollege students' motivation, according to a study conducted in Canada [8]. Another studyestablished that reinforcing learners' self-belief and peer collaboration increased motivationamong students studying mathematics [19]. Therefore, this study explores how experiment-centric pedagogy, a hands-on learning approach, influenced undergraduates' motivation incivil engineering at one of the historically black universities and colleges, building onpreliminary research. Two research questions guided the study:(i) Is there a significant difference between the motivation of civil engineeringundergraduates pre- and postimplementation of experiment-centric pedagogy?(ii) Does
leavedoctoral programs without their intended degrees at higher rates than their peers [4]. As recentreports indicate, women’s enrollment in engineering graduate programs increased by only 4percent from 2014 to 2019 [5]. From observation at Penn State, department-level efforts toimprove the well-being of graduate students and limit attrition often rely on professionaldevelopment or lecture-based approaches to establish community. While these efforts can beuseful, literature shows that feelings of isolation and a lack of sense of community, rather than alack of career preparedness, contribute to attrition from graduate programs [6].Instructors have effectively increased student retention in engineering fields by encouraging self-efficacy and belonging
© American Society for Engineering Education, 2022 Powered by www.slayte.com Female Student Attitudes Towards Engineering: Are They Influenced by the Roles They Take on Project Teams?Keywords: Women in STEM, Self-Efficacy, Active Learning, First-Year Projects Courses, TeamRoles, Team DynamicsIntroductionThe increase of diversity in STEM fields is a growing conversation and source of concern forengineers. While universities report that the number of women students graduating with anengineering degree has increased, there still exists a surprising lack of women in engineeringcareers nationwide [1]. Strategies such as active learning and collaborative learning have been atthe forefront of