“moderate,” 61 to 80 to “frequent,” and over 80 to “intense” feelings. Though both self-efficacy and IP account for a great number of studies in education andpsychology, we are unaware of any studies that have looked at both simultaneously.Interestingly, many of the factors measured by Clance’s scale suggest strong ties to self-efficacytheory. Feelings that successes cannot be repeated, for example, may be tied to students’assessments of their mastery experiences when they are forming their efficacy beliefs. Inaddition, students’ comparisons of their capabilities to those of their peers are vicariousexperiences which are also significantly influential on efficacy beliefs. In the case of an IPsufferer, the negative feelings associated with
knowledge and skills thatcould be deciphered by the instructor, teaching assistants (TA) and the customers. Theinstructors and TAs used rubrics to standardize grading and assessment of students’ skills. Thefocus of this paper is on the “learning and innovation skills” listed under the P21 framework.These skills are further decomposed into: creative thinking, problem-solving, andcommunication and collaboration skills. So the assessment described herein will focus on waysto assess these three attributes.The assessment instrument was structured with three themes: self-efficacy in engineering design,understanding of the engineering design process, and communication and collaboration skills.The self-efficacy questionnaire was structured for students to
theoretical framework to identify the beliefs that mostaccurately predict behavior. In December 2021, a survey was conducted in the first-yearengineering program at a large public university with a predominantly White population (n = 452).The self-report survey instrument included measures of mental health help-seeking intention,attitude, perceived norm, personal agency, and outcome beliefs guided by the IBM. Respondentsexhibited high scores on scales measuring their attitude towards seeking help, perceived control,and self-efficacy. This suggests that, on average, first-year engineering students had positiveperceptions of their seeking help, felt in control of their decisions to seek help, and were confidentin their ability to seek help. Students
with a range from 1 forstudents using 100% percent Webex taped lectures, to 5 for students participating 100% in face-to-face lectures.Based on the findings from the previous semester, for F07 semester we kept the attendance typemeasure, dropped the MecMovies measure, and included a measure of students’ self- efficacyadapted from the validated scale of Self-Efficacy for Learning with Self-Paced, Online Training2 .The attendance type was a self- reported measure potentially biased by the tendency of studentsto offer acceptable answers. A strong negative correlation between the attendance type and self-efficacy then would be an acceptable indicator of a low bias risk for the attendance measure.That is, a high level of self- efficacy for learning
research. c American Society for Engineering Education, 2020 Innovative Learning Strategies to Engage Students CognitivelyAbstractThe role of cognitive engagement in promoting deep learning is well established. This deeplearning fosters attributes of success such as self-efficacy, motivation and persistence. However,the traditional chalk-and-talk teaching and learning environment is not conducive to engagestudents cognitively. The biggest impediment to implementing an environment for deep learningsuch as active-learning is the limited duration of a typical class period most of which isconsumed by lecturing. In this paper, best practices and strategies for cognitive engagement ofstudents in the classroom are
) and analysis of the students’ final project reports at the endof the senior capstone course . The instruments have been developed and tested with theassistance of an assessment expert and measurement expert from the teaching and learningcenter in the College of Engineering. The development of the assessment plan began with apilot of the 200-level course in the Fall 2011 semester and will continue through the 2013-2014 academic year. After that, the assessments will be incorporated routinely into the courseactivities.The comprehensive assessment plan includes several pre-post surveys that target confidence,professional identity, self-efficacy, and also gather demographic information and provideinformation for formative improvement of the
://teilab.tamu.edu c American Society for Engineering Education, 2018 Motivating STEM Participation through a “Making as Micro- Manufacture (M3)” ModelAbstractThe objective of this paper is to outline a new model for motivating STEM participation anddeveloping self-efficacy among high-schoolers, and to detail the major implementation activitiesinvolved, preliminary impressions/results, and lessons learned.In this model titled, “Making as Micro-Manufacture (M3),” high-variability low-volumeproducts were manufactured in real-world settings and for a real-life purpose. The modelcombined “Making” with engineering concerns attendant to manufacturing at micro scales (tensto hundreds of parts) along with
-teachercollaboration can provide teachers with the expertise and tools necessary to overcome lowconfidence, which may inhibit their ability and willingness to teach these topics.5For the purposes of this paper, we will be examining aspects of STOMP regarding K-12teachers’ acquisition of STEM content knowledge. We will specifically look at engineering andtechnology, which are the most recent additions to the Massachusetts’ Curriculum Frameworks.2We will take a closer look at the three-phase model that governs the program and the roles of theK-12 teacher. We will also investigate how this program affects teacher self-efficacy,perceptions, and interest regarding the teaching of engineering and technology.Theoretical FrameworkTo ensure that teachers gradually
including the Society of Women Engineers (SWE), the Society of Hispanic Professional Engineers (SHPE), the Society of Asian Scientists and Engineers (SASE), the National Society of Black Engineers (NSBE) and nine times Outstanding Chapter Awardee, the American Chemical Society-Wright College Chapter. Doris promotes collaboration between K-12 schools, other community colleges, 4-year institutions, non-profit organizations, and industries. Doris’ current research is to design and implement practices that develop Community of Practice (CoP), Professional Identity, and Self-Efficacy to increase diversity in Engineering and Computer Science and to streamline transfer from community colleges to 4-year institutions.Bridget
analysis of 216 studies, we examineAI's potential to enhance engagement, conceptual understanding, and skill development infoundational engineering courses. Using a theoretical framework that integrates Cognitive LoadTheory (CLT), Self-Efficacy Theory (SET), and Situated Learning Theory (SLT), we analyzeimplementation strategies, outcomes, and barriers across diverse institutional contexts. Meta-analyses indicate that AI-enhanced active learning approaches can increase student performanceby 0.47 standard deviations and reduce failure rates by up to 55% compared to traditional 2methods (Freeman et al., 2014). However, challenges including high implementation costs,insufficient faculty training, and
students’ learning if it is not integrated in the classroombased on sound educational theories [27], [31].We aimed to ensure student engagement and learning by promoting self-efficacy, one’s beliefthat one can successfully complete a specific task [32], [33], because it helps determine whetherstudents engage with tasks, persist when they face difficulties, and finish tasks. Masteryexperiences (actually performing a task and succeeding) can increase self-efficacy [34],especially when they are built on achieving proximal goals - smaller tasks that are almostguaranteed to be completed successfully. Since self-efficacy is domain-specific [35], wehypothesized that low visuospatial self-efficacy could be one of the main reasons of whystudents disengage
individual needs and concerns.” All school demands were measured on a 5-point Likert-type scale. While different variables had different response options, for all school demands a higherscore indicated a greater perceived demand. Personal resources. Personal resources were measured with five variables consisting often items. The personal resources of mastery goal orientation, performance approach goalorientation, self-esteem, and academic self-efficacy, and self-efficacy to graduate with anEngineering degree were each measured with two items. For example, mastery goal orientationwas measured with the items “I want to learn as much as possible from my ODU classes” and “Idesire to completely master the material presented in my ODU classes
Bandura’s [9] social cognitive theory, stating that motivation isgoal-directed behavior. Behaviors are produced and sustained by the anticipated consequences ofone’s actions (outcome expectations; OEE), a person’s judgment of their ability to attain theirgoals (self-efficacy; SE), and their career-oriented interests [9], [10]. Pertinent to the career-oriented goals people set is the degree to which they feel their values are congruent with theirwork, which is an aspect of outcome expectations [11]. Further, the effect of outcomeexpectations on career-oriented goals is expected to be mediated by students’ career-relevantinterests.Figure 1. Path diagram of the Social Cognitive Career Theory.In the seminal work establishing the SCCT, Lent et al. [11
’ conceptual understanding ofengineering concepts [13-15]. Other tools collect intermittent peer evaluations [16], andstudent self-efficacy in design skills [17]. However, these tools do not give a direct measureof students’ design process learning, nor do they collect the process-related data needed foreducators to investigate the effect of the students’ experiential learning of design processes.There are also instructor self-efficacy tools that cover general teaching tasks [18], specificacademic areas such as science [19] and the teaching of design engineering within STEM andthird level education [20, 21]. However, these tools are only intended to measure instructors’perception of their own teaching abilities and cannot provide a direct measure of
for engineers who understand the fundamentals ofsystems engineering. This paper has presented an effort to improve mechanical engineeringstudents’ systems engineering skills through the redesign of a sophomore design course. Studentswere exposed to primers and case studies that covered essential steps in the systems engineeringprocess and completed a semester-long project that required integration of various subsystems.The effectiveness of the intervention was assessed through a newly designed systems thinkingskills survey and through a course satisfaction survey. Students showed a statistically significantimprovement in self-efficacy for all measured skills, but showed a statistically significant gainover the control group only for the skill
decisions. Identifying the decision making behaviors ofparticipating and non-participating students can also help uncover barriers to entry ofextracurricular engineering activities, particularly any barriers affecting underrepresented groupsof engineering students.Another topic for investigation is self-efficacy trends as they relate to extracurricularparticipation. Self-efficacy development was an emerging construct of this study, however sinceself-efficacy was not intentionally investigated for this study, a sufficient understanding of self-efficacy as it relates to extracurricular participation was limited by the research design of thisstudy. Future work should focus primarily on self-efficacy theory and measurement. A possibledirection of this
, is crucial to manifesting interest in a subject or domain [4, 2] and, asresearch shows, contributes significantly to self-efficacy [4]. By capitalizing on methods toincrease students’ sense of belonging and confidence in STEM majors, more students could beattracted to pursue STEM degrees [4]. Recent trends in welcoming makerspaces into educationalenvironments suggests that makerspaces provide a domain in which interest and creativity ispropagated. This work-in-progress study hypothesizes that by implementing a universitymakerspace that welcomes a representative population through non-verbal, physical cues,increased feelings of belonging and self-efficacy can be achieved. However, a tool is needed toevaluate stereotypes and ambient belonging
engineering students were expected to work with first-year medical students todevelop innovative solutions for clinical problems. Faculty members from both institutes servedas mentors for student projects. The education objectives are twofold: (1) to develop the criticalthinking skills and independent research ability by solving engineering problems throughauthentic projects, and (2) to increase students’ non-cognitive learning outcomes such ascommitment and engagement with engineering, communication (writing and presentation skills),self-efficacy, and teamwork in a multidisciplinary environment. The first class of this biomedical innovation course started in the fall of 2021. The completeteaching plan comprises two consecutive courses in fall and
added context on student perceptions orperformance, leaving the question of advantages and disadvantages of context-rich problemsopen.Thus, this study investigates student self-efficacy and performance on a problem-solving taskpresented in both context-poor and context-rich versions to see if additional context impairsstudent problem-solving effectiveness. This work builds on an earlier study [11] that did notconsider performance aspects. Student self-efficacy is assessed through self-reported ratings ofability to connect the problem to prior knowledge and confidence in ability to solve the problem.Student performance is assessed by whether the problem is solved correctly and how long ittakes to arrive at a solution.MethodologyFourth-year
present its results, and discusssuggestions for improvement.Literature reviewEngineering Students with Disabilities: Because disability is not always visible and becausecollege students must self-identify as disabled, it is difficult to know the true number ofengineering students with disabilities. This section will review literature about students withdisabilities’ commitment to the engineering major and career, their extracurricular engagement,their feelings of self-efficacy in engineering, and their perceptions of “otherness.”Commitment to the engineering major and career: According to the National Science Foundation[8], students with disabilities enroll in undergraduate science and engineering fields at similarrates to their non-disabled
, goals, and actions. We will leverage the framework by deeming the internship as the learning experience thatshapes interns’ self-efficacy and outcome expectations related to working in a data analyticsand/or sports industry career post-graduation. Levering the SCCT framework, we have designedour assessments to explore student beliefs as well as contextual (and environmental) variables byexploring the supervisor’s perspective. Figure 1. Social Cognitive Career Theory [12]Assessment methods To capture the individual student experience as well as the organizational context, we aredeveloping an assessment plan to measure changes in student learning and perceptions, as well ascollect data on program elements, including
. Students used the same 5-pt. Likert-type scale to rate theiragreement with items such as: 1) I consider several ways to solve the problem before I answerand 2) I know how well I did after solving the problem.Results Across the two courses, 530 students consented to participation and served as ourresearch sample. In addressing the research questions, comparisons of changes within-subjectsfrom pre to posttest were assessed via paired t-test. Between groups comparisons involved ananalysis of covariance (ANCOVA) with the pretest values for each measure as the covariate. For the first semester course, the treatment group had initially higher levels of self-efficacy, confidence in their math and science abilities, prior exposure to project
undergraduate studentsin STEM and inform the development of tailored interventions through the STEM-RAEE program.With the overarching goal of fostering diversity, equity, and inclusion in the engineering andcomputing professions, our research aims to empower racially minoritized students to leveragetheir STEM knowledge for entrepreneurial success and community impact. We employed anonline survey instrument, integrating constructs from empirically validated scales inentrepreneurship literature, to gather insights from 86 undergraduate STEM majors enrolled at twoHBCUs in the Southern region of the United States. The survey assessed various factors, includingintent to pursue entrepreneurship, self-efficacy in entrepreneurship, role models
thisproject, as one of the goals of this project is to demonstrate to students all of the benefits thatwill accrue to those who learn about technology.Self-Efficacy: Self-efficacy measures students’ beliefs about their ability to achieve onschool-learning tasks. If students feel competent and empowered to succeed in school, theywill have high scores on self-efficacy. This measure also is particularly important for thisproject, as one of the goals is to increase students’ belief that science and technology learningare tasks that they can complete. This will be particularly important to students in this class,as many of them will be elementary school teachers. If the preservice teachers can develop asense of technological self-efficacy, they can
Likert 31 Adulthood Emerging Adulthood (IDEA) 31 Outcomes Self-Efficacy Engineering Design Self-Efficacy Likert 9 Instrument 41 Groupings Demographic Questions Varied 14 Total 105 ItemsThe expectancy-value is measured using the Engineering Expectancy and Value Scale (EEVS).The instrument is composed of 9 Likert-type items developed by Eccles and Wiggfield 42
] and measured to what extent students felt included,valued and respected. We used this scale with the purpose of exploring students’ sense ofbelongingness, specifically in CS, and modified the items to include “in computing.” Adefinition of computing was also included, “Computing is defined as doing things like making anapp, coding, fixing a computer or mobile device, creating games, making digital music, etc.”Sample questions then asked students to indicate the extent to which they agreed with statementssuch as, “I feel comfortable in computing” and “Compared with most other students at myschool, I know how to do well in computing.”Self-Efficacy: Self-efficacy captures students’ beliefs that they can accomplish designated tasks[38] related to
-cost components. Table shows all components in thefinal kit. Comparing with the existing kits, we reduce the modified kit cost about 30% (a reductionof approximately $70USD), and the consolidation reduced the shipping cost by two-thirds.AssessmentTo assess the impact of cross-curricular use of an electronics kit on Mechanical Engineeringstudents. We developed a 6-point Likert Scale pre and post survey based on measures developedby Mamaril et al [20] to evaluate students’ self-efficacy in prototyping, coding, and engineeringskills. The complete pre and post surveys are in Appendix 3 and 4, respectively. The collecteddata is treated as ordinal data, and a Wilcoxon signed rank test is used to analyze paired data. Thecorrelation between students
shapeinterventions aimed at impacting SCCT factors and studying their effect on LIATS success.Success in our case is defined by the student ability to complete an engineering degree within133% of the nominal program time and inserting into the grad school or the engineeringworkforce during the first-year post-graduation. Metrics to measure students’ advancementtowards such a goal include retention, time-to-graduation, completion rates, and post-graduationchoices.The main question driving this research is: How effective is the L-CAS model at improvingengineering LIATS success as a consequence of developing awareness of their career paths,improving self-efficacy beliefs, developing leadership skills, and going through a sequence ofcourses designed to develop
Through After-School STEM Activities. Journal of Science Education and Technology, 25(6), 889–897. https://doi.org/10.1007/s10956-016-9643-3[10] Gibbons, M. M., & Borders, L. D. (2010). A measure of college-going self-efficacy for middle school students. 234–243.[11] U.S. Department of Education. Institute of Education Sciences, National Center for Education Statistics. (2019). Digest of Education Statistics, 2019. Retrieved February 20, 2021, from https://nces.ed.gov/programs/digest/d19/tables/dt19_219.57.asp?refer=dro.asp[12] Roeser, R. W., & Lau, S. (2002). On academic identity formation in middle school settings during early adolescence: A motivational-contextual perspective. In T. M. Brinthaupt & R. P
(pre = 63.33 ± 5.77, post = 83.33 ± 5.77). There areno significant differences between the majors (Mechanical Engineering n = 4, Applied Math n =1, Electrical Engineering n = 2).Lastly, students were asked whether they changed their views of pursuing graduate degrees aftergraduation. There is no significant difference between the pre-self-efficacy measures andchanges in views towards graduate school, F (2,7) = 0.48, p > 0.789. This may indicate that self-directed opportunities during the undergraduate curriculum can be viewed as supplemental, butnot necessarily as a way to introduce graduate research habits. Since the students were notworking with any graduate students. Figure 3 shows students’ self-efficacy scores before andafter