science and engineering that is offered in the college ofengineering at the University of California, Berkeley. This program was designed to prepareselected student participants for enrollment in a four-year institution within the University ofCalifornia system. This paper also describes the comprehensive evaluation methods that wereused to determine whether the summer program reached the intended aims and goals. Initialfindings indicate that the program was successful with preparing students to transfer to a four-year institution as academic goals were clarified and the self-efficacy of students was improved.The outcomes of the evaluation results discuss how to refine the program for future offerings andhow other institutions and programs can
), 335-38.8. Hutchison, M. A., Follman, D.K., Sumpter, M., and Bodner, G.M. (2006). Factors influencing the self- efficacy beliefs of first-year engineering students. Journal of Engineering Education, 96(1), 39-47.9. Yurtseven, H.O. (2002). How does the image of engineering affect student recruitment and retention? A perspective from the USA. Global Journal of Engineering Education 6 (1), 17-23.10. Li, Q., McCoach, D.B., Swaminathan, H., and Tang, J. (2008). Development of an instrument to measure perspectives of engineering education among college students. Journal of Engineering Education 97(1), 47-5611. CCSD Fast Facts 2009-10. Clark County School District, http://ccsd.net/news/publications/pdf/CCSDFastFacts.pdf
. This finding is consequential to policy makerslooking at the implications for practice and will be discussed later in the paper.2. EPBEL as an Effective Tool for Increasing Self-Efficacy and MotivationEPBEL provides a particularly engaging experience for students, but another important questionis how it develops self-efficacy. Bandura describes self-efficacy as the measure of “convictionthat one can successfully execute the behavior required to produce the outcomes” desired. 31 TheAcademic Pathways of People Learning Engineering Survey (APPLES) found that high levels ofmotivation and confidence are important indicators for success in engineering and that studentswho participate in extracurricular activities are more likely to have high levels
towards securing my future.”Question 7. How do you feel when you have low grades in class?Low performance as measured by grades can have highly damaging and negative consequenceson students perceived self-efficacy, confidence, and motivation. As indicated by the participants’statements, students begin to question their capability to comprehend class material which impactstheir sense of self confidence to achieve academic success. “I feel terrible.” “Nervous and slightly concerned/stressed for my grade.” “Anxious because it will affect my GPA and I’m not sure that I’m learning well.” “Stressed out, hyper.” “I feel terrible and dumb. Like I know nothing in the class which is usually not true.” “I feel a little depressed since grades
, allowing education researchers andpractitioners to “see” how the predicted results are generated, and thus the predicted results canbe interpreted in a reasonable and meaningful way 11. For example, Green 12 developed a set oflinear regression models for three mechanical engineering courses to predict a student’s finalexam score from the student’s scores in mid-term quizzes. A modest correlation was foundbetween a student’s final exam score and mid-term exam scores. Yousuf 13 developed amultivariate linear regression model to predict student academic performance in ComputerScience and Engineering Technology programs. The predictor/independent variables ofYousuf’s model 13 included a student’s career self-efficacy belief, math-SAT scores, high
developing quantitative instruments.Proceedings of the 2003 American Society for Engineering Education Annual Conference and Exposition Copyright 2003, American Society for Engineering Education. • In-depth literature review of WIE literature with a focus on identifying prior assessment activities. • In-depth literature review of related fields including psychology and education in order to identify related assessment instruments and measurement areas (e.g. self-efficacy) that can inform the development of our WIE instruments. • Documentation (and eventual publication) of the above literature reviews in a form designed to inform WIE directors on the theoretical and educational constructs that
of EBIPs including both situational and individualinfluences. Situational barriers include lack of pedagogical training, perceived time for effectiveimplementation, and institutional support and incentives [3]. For example, there can besituational barriers like disciplinary differences or institutional influences that promote ordiscourage the use of EBIPs in science, technology, engineering, and mathematics (STEM)courses [1, 4]. Further, engineering faculty have reported concern about the time required forboth preparation and implementing EBIPs in class. In contrast, individual barriers includeinstructional beliefs, values, goals, self-efficacy, motivations, and awareness [4, 5]. For one,many educational theories and research studies can be
framework & the 3C’s Assignments Curiosity quiz, discussion, Weeks 2-3 of AU semester and MS Teams posts + Direct Assessments listed below Self-assessment Survey on self-efficacy on 14 Beginning of AU semester, EM learning objectives end of AU semester, end of SP semester Meetings with teams Framing the discussion in From week 5 of AU semester terms of EM and the 3C’s until the end of SP semester when relevant Direct
completing an engineering degree.[4] The “leak in the pipeline” phenomenonexplains women’s tendency to quit their engineering jobs or studies.[5] Furthermore, femalesface many challenges as a result of their gender.[6] These themes are studied to overcome“machismo”, traditional culture, and the false truth that women cannot pursue careers that menhave traditionally dominated. With evidence demonstrating no gender differences formathematical skills or other engineering-related abilities, [7] women feel less able to pursue thesecareers and even think they have many barriers and obstacles to achieve them.[8]To understand social constructs that influence women, an increased interest in concepts as self-efficacy and the feel of competence have emerged in
approaches students spend extended time (oftenmultiple semesters) working with engineering professionals outside the classroom [1]. These“co-op” experiences can have positive impacts on engineering students’ academic performanceand future compensation [2], [3], as well as strengthening self-efficacy, career development andpractical engineering skills [4]–[6]. Undergraduate research is another form of experientiallearning that allows students to engage in problem solving and investigative processes in alaboratory or with a research group. Undergraduate research is a “high impact” learningexperience [7], [8], although its value depends in part on how well students are integrated withand supported in the research setting [9]–[12].At a large research
TechnologyAbstractThe future of America’s global competitiveness depends upon a well-educated, technologically literateworkforce. However, if proactive measures are not taken in the near future, the United States will face aserious shortage of scientists, engineers, technologists, and mathematicians because high school students,especially those from underrepresented groups, are increasingly losing interest in these subjects. The keyin reversing this trend lies in our ability to promote science, technology, engineering and math (STEM)subjects and professions in a more socially relevant, real-world context and to recognize the differences inlearning styles and self-efficacy between males, females and minorities. In an effort to increase thenumber and diversity
], [28].Flipped classroom pedagogies, including POGIL, effectiveness on student outcomes has beendemonstrated thoroughly in the literature through longitudinal studies [18], STEM classes [15],[19], and quantitative studies of exam performance [20]-[25]. The literature shows increases instudent outcomes, student perceptions [12], even in self-efficacy with regards to complicatedsubject matter [25]. The flipped classroom pedagogy equalizes opportunities for students,especially for students of lower socioeconomic status and first-generation students. Incomparison to advantaged students who may have support systems in place to help completehomework and projects with tutors or advice from previous generations of how to navigatehigher education
scales included in the survey, the Inventory of Graduate Writing Processes and theGraduate Concepts of Academic Writing surveys developed and validated by other researchers.Inventory of Graduate Writing Processes [26]. The Inventory of Graduate Writing Processesscale asks multiple questions using a Likert scale regarding the student’s approach to the writingprocess. Results from the questions were sorted into their factors and averaged with the other in-factor items to find each student’s primary and secondary approaches. The factors are describedbelow. Elaborative—writing is a personal investment and part of knowledge creation Low Self-Efficacy—lack of confidence in ability to articulate thoughts No Revision—avoids or resists
in developingengineering students’ multiple skills and abilities, such as independent thinking, criticalthinking, creative thinking and hands-on skills [8]-[10]. For instance, using self-reported questionnaires among senior students , Marques (2017) pointed out thatengagements in SDPs can strengthen students' soft skills like communication andpublic speaking [9]. Also, Xiong and Liu (2012) suggested that students whoparticipated in SDPs got their critical thinking and engineering design thinkingimproved [13]. In addition, applying self-efficacy scales, Dunlap (2005) measuredstudents' self-efficacy in a capstone environment. Pre- and post- data showed astatistically significant change in student perceptions of personal ability andpreparedness
study following over 23,000 students from 2009 to 2016.The data were analyzed using multiple regression analyses to correlate high school,demographic, academic achievement factors from the 2009 and 2012 data collection waves to astudent’s likelihood of attending college and majoring in a STEM field. The high school levelfactors that were found to be significant predictors for college STEM major declaration includethe student’s family background, high school STEM GPA, and measures for math/scienceidentity. The findings are mixed and suggest further research is needed, particularly indisaggregating the math/science self-efficacy, identity, and utility measures, as well as ininvestigating potential differences in major choice by field separately
students [27]. The principles ofthe competency-belief component of this theory are similar to Shavelson’s self-concept of ability[28] and Bandura’s self-efficacy construct [29]. While by definition, these three concepts aredifferent, they have proven difficult to isolate empirically [30-34] and are usually measured in thesame manner [27]. Competency beliefs are frequently grounded in self-efficacy theory [22], whichfacilitates the connection between positive feedback and better academic achievement [35]. Valuebeliefs, on the other hand, have been studied less often but are by no means less vital. Whilecompetency beliefs focus on a person’s ability to do a task or engage in an activity, value beliefsfocus on an individual’s desire to engage in an
providedby the agency to develop educational self-efficacy, responsibility, and empathy for others.Inclusive: Educators are aware of and responsive to the ways that students are marginalized by ourcurrent education system. Educators (and all individuals in the building) actively and lovinglyaddress negative bias and integrate affirmations to promote social-emotional growth and well-being for all individuals in the classroom and school.Relevant Students experience “relatedness” with their teachers and a learning relevant to their livesthrough direct connections to their community, their country, and the world.The Engineering CurriculumPI Bayles co-developed the INSPIRES Curriculum (Figure 3)which was designed to specificallytarget three Standards for
practice in reflective thinking and judgement.Reflective learning skills are metacognitive, and first year engineering students are alreadyinvolved with metacognition as they consider and evaluate their own place in the engineeringcommunity through engineering identity and self-efficacy. [2] [3] We apply reflection in orderto contribute to our students’ intellectual development for critical thinking skills to whateverextent is possible during the first year. Our research goal is to measure individual progress inreflection over the course of a semester in two ways: By using the same rubric for all assignments, do students’ grades improve over time? How do participants’ responses compare to the intellectual development scales found in
described.Teacher Related ResultsScience Teaching EfficacyThe Science Teaching Efficacy Beliefs Instrument (STEBI) is an instrument based onBandura’s definition of self-efficacy as a situation-specific construct. The instrument wasdeveloped by Riggs and Enochs 7 to measure efficacy of teaching science. The STEBIconsists of 23 statements which are divided to provide two sub-scores, which are randomlyembedded in the instrument. Thirteen of the statements yield scores for the PersonalScience Teaching Efficacy (PSTE) subscale, which reflect science teachers’ confidence intheir ability to teach science. The remaining ten statements yield scores for ScienceTeaching Outcome Expectancy (STOE) subscale, which reflect science teachers’ beliefsthat student learning
rubric Technical Writing I rate my writing skills before and after each lab [1-5] Ability My writing skills are reflected by my report grade The report grading across each lab course was consistent My grades and writing skills improved with each submission Self-Efficacy I feel more confident to write a technical lab report I believe I can write a technical lab report without a rubric How many iterations of the writing cycle are required for you to feel confident in writing a technical lab report? [1-4] I feel
). Assessing college students’ satisfaction with their academic majors. Journal of Career Assessment, 15(4), 446 – 462.[10] Goodwin, A. (2016). The development of a measure of engineering identity. Retrieved from: https://www.asee.org/public/conferences/64/papers/14814/view.[11] Mamaril, N. J. A. (2014). Measuring undergraduate students’ engineering self-efficacy: A scale validation study. Retrieved from: http://uknowledge.uky.edu/cgi/viewcontent.cgi?article=1020&context=edp_etds[12] Williams, D. (2006). On and off the ‘net: Scales for social capital in an online era. Journal of Computer-Mediated Communication, 11(2), 593 – 628.
experimental procedures.Currently, all projects are undergoing the design phase. Next steps involve purchasing allnecessary equipment, constructing prototypes, and conducting tests to validate the underlyingassumptions for each project. Subsequently, based on the average size of a first-year class, we willacquire the required equipment to ensure readiness for use.Pre- and post-project ABET-based surveys will be assigned to students for each project. This is togauge their understanding of each specific subject, as well as potential improvements in their self-efficacy and sense of collaboration in teams.REFERENCES[1] Howard S. Barrows and Robyn M. Tamblyn, Problem-Based Learning: An Approach toMedical Education, Springer Publishing Company, 1980[2] Erik
/20281.8. Burwell-Woo, C., Lapuz, R., Huang, T., and Langhoff, N. (2015, June), Enhancing Knowledge, Interest, and Self-Efficacy in STEM Through a Summer STEM Exploration Program Paper presented at 2015 ASEE Annual Conference & Exposition, Seattle, Washington. 10.18260/p.23998.9. Enriquez, A., Hum, D., Price, B, Woo, C., Redding-Lapuz, D., and Camacho, A. (2013)., Creating Accelerated Educational Pathways for Underprepared STEM Students through an Intensive Math Placement Test Review Program, Proceedings: 2013 American Society of Engineering Education PSW Conference, Riverside, CA, April 18-20, 2013, pp 314-328.10. Camacho, A. M., & Hum, D. (2016, June), Measuring the Effectiveness of an Intensive Math Preparation Program to
Nvivo: 1000 most frequently used words with minimum length of ten.3.5 Deductive Thematic AnalysisDeductive thematic analysis was conducted by applying the conceptualization of motivation to learnresulting from three factors: self-efficacy, seeing value, and a supportive environment [3, 4]Self-efficacy describes one’s confidence in the ability to complete a performance-based task. Severalparticipants emphasized an increase in self-efficacy by referencing skill development, and by respondingwith a capacity to apply new tools and strategies. Example quotes are provided here: • The PhotoVoice did bring a nice mix of image, essay, and engineering. I will use this in all my research projects.” • “PhotoVoice is a great new assessment
and fun circuits and providing a big picture view, andpromoting students’ motivation to continue pursuing the EE major. We have adopted this courseproject for two consecutive course offerings in fall 2018 and fall 2019, respectively. Studentfeedback in the form of survey questionnaires has confirmed that this pilot project has beensuccessful. Per the survey results, most students feel their abilities of developing design solutions,constructing prototypes, and communicating the design process have improved, which indicatesincreased students’ self-efficacy. Moreover, majority of students feel more motivated to continuewith the EE major of study.I IntroductionFor most Electrical Engineering (EE) and Engineering curricula, analog circuitry and
”responses related to strategies students realize they were not using effectively.A single researcher scored the responses; thus our study did not have the benefit of a more robustreview of the data or the benefit of inter-rater reliability.Conclusion and Implications for Future ResearchWe propose that a course environment that focuses on increasing metacognitive awarenessthrough self-directed learning in individual and collaborative settings may positively impactstudents’ self-efficacy. As students focus on attaining goals that are important to them, in settingswhere the challenge is not beyond their capability, in a social setting that supports persistence,students’ self-efficacy should be enhanced [16]. This is an area ripe for future
. Duncan-Wiles, “Design creativity in K-12 student designs: Exploring an egg packaging and drop activity,” in iSTEM – Integration of Engineering into other STEM Education: Proceedings of 2nd P-12 Engineering and Design Education Research Summit, Washington, D.C, April 26 - 28, 2012. 9[4] N. D., Fila and Ş, Purzer, “The relationship between team gender diversity, idea variety, and potential for design innovation,” International Journal of Engineering Education, vol. 30, no. 6, pp. 1405–1418, December 2013.[5] M. Schar, S. Gilmartin, A. Harris, B. Rieken, and S. Sheppard, “Innovation self-efficacy: A very brief measure for engineering students,” in Proceedings of the
(rather than individuals) and help withan overview of the differences and similarities between groups of individuals.Research is emerging that is examining the potential of quantitative tools for measuring theoutcome of maker activities on youth. In a recent project, Chu et al. developed a series of surveyinstruments to measure youth’s interest, self-efficacy and self-identity with respect to makingand science [2]. The survey tools measured maker identity, self-efficacy and interest, as well as,science self-efficacy and interest. Additionally, the researchers measured the students’ STEM-career possible selves and interest. In a year-long study with 121 middle-school students (ages 8-11) who participated in weekly maker activities, they found that
these experiments were visualized in real-time.To measure the key constructs associated with students’ success (motivation, epistemic andperceptual curiosity, and self-efficacy), data collection was done pre-and post-implementation ofthe experiments using the Motivated Strategies for Learning Questionnaire (MSLQ) developed byPintrich, Smith, García, and McKeachie, in 1991. Also, the Classroom Observation Protocol forUndergraduate STEM (COPUS) was employed to characterize the simultaneous activities ofinstructors and learners during class sessions. More so, students’ understanding of the course andthe application of knowledge gained were evaluated using signature assignments.Data analysis was conducted using Statistical Package for Social