incourses related to the AIMS certificate programs. Project-based activities such as AIMS-relatedworkshops offered by the university will be assessed to measure learning outcomes associatedwith engineering self-efficacy, judgment, and leadership skills.Engineering self-efficacy (ESE) is an individual’s belief in their capability to act in the waysnecessary to reach specific goals. Judgment about one’s abilities can influence behavior and goalattainment. We hypothesize that the groups’ self-guidance during the hackathon will improvetheir ESE related to applying AIMS concepts. Next, engineering judgment (EJ) is an individual’sability to make and justify decisions and predict the resulting consequences. EJ is developed inparallel with engineering
learning strategies. These strategies require further investigation as they areincreasingly important to integrate within the classroom, especially for challenging STEM-basedcourses. By specifically fostering motivation and SRL, students can engage more effectivelywith the material, leading to improved learning outcomes. To investigate these components of thelearning process in engineering, we collected self-report measures of achievement goalorientation (motivation), general self-efficacy (motivation), and motivated strategies for learning(SRL) for 146 undergraduate engineering students in Thermodynamics.To better understand (1) the interconnected nature of these constructs for students and (2) theself-regulatory and motivational profiles of
and their impressionsof the app. Students found the app engaging, easy to use, and something they would do wheneverthey had “a free moment”. 95% of the students recommended the app to a friend if they arestruggling with spatial visualization skills. This paper will describe the implementation of themobile Spatial Vis™ sketching app in a large college classroom and highlight the app’s impactin increasing self-efficacy in spatial visualization and sketching despite the small screen size.IntroductionThe use of mobile devices and specifically touchscreen technology in education has increasedtremendously over the years due to their increase in ubiquity and computing capabilities. Asurvey was conducted online within the United States by Harris Poll
whoparticipated in a STEM competition. The review of the information gathered with these studentsis particularly critical in our main project since these students have a strong orientation towardSTEM. Students had a choice to participate in up to two subjects out of five available: physics,mathematics, biology, chemistry and computer science. We administered a science andtechnology questionnaire and 657 students out of 721 who participated in the competitionresponded. The survey included 13 questions in a Likert scale regarding self-efficacy andperception of the importance of the subjects presented. In the first section of the questionnaire,students responded to queries that assess physics, biology, chemistry, mathematics and computerscience self
practices with technology under situated professional development. Computers & Education, 59(4), 1109-1121.Kwon, K., Ottenbreit-Leftwich, A. T., Sari, A. R., Khlaif, Z., Zhu, M., Nadir, H., & Gok, F. (2019). Teachers’ self-efficacy matters: Exploring the integration of mobile computing device in middle schools. TechTrends, 63(6), 682-692. doi: 10.1007/s11528-019-00402-5Merriam, S. B. (1998). Qualitative research and case study applications in education. San Francisco, CA: Jossey-Bass.Metz, S. (2014). Engineering a new world. The Science Teacher, December 2014.Moore, T. J., & Hjalmarson, M. A. (2009). Developing measures of roughness: Problem solving as a method to document student thinking in engineering. International Journal
behavior domainsexplore the relation between attitude and its internal factors of calculus learning amongengineering students in Taiwan. This study used theory and related research to develop aquestionnaire research tool. The internal factors of calculus learning that we choose wereusefulness, self-efficacy, motivation, anxiety, and, learning habits. The contributions of thisstudy are as follows The findings show that a high percentage of students do not havepositive attitudes toward calculus. A statistical significant difference existed in the meanscores for males and females in the calculus attitudes scale. Specifically, statistical significantdifferences were detected between males and females in two attitude domains: cognitive andbehavior. The
. Page 23.441.4Engineering Self-Efficacy and Self-ConfidenceAs a measure of engineering self-efficacy, study participants were asked to indicate their level ofagreement with the statement “I could be an engineer, if I wanted to.” There was a statisticallysignificant difference between the study groups, with the girls who participated in the full CampReach intervention or another WPI STEM program rating themselves more highly than the othertwo groups. Post-hoc comparisons indicated a statistically significant difference between theCamp Reach Full and Camp Reach Partial study groups. A common theme in responses to open-ended questions about Camp Reach was the sense of empowerment and self-confidence createdby the program.As we were planning to
theiracademic growth and development in science-related fields and a transformation of identity from student toprofessional, thereby promoting field-specific self-efficacy [9,10]. To date, undergraduate students were invited tocomplete the engineering design self-efficacy (EDSE) instrument to evaluate their engineering self-efficacy levels.The EDSE instrument will be used again at the end of the academic year to monitor students' engineering self-efficacychanges during their course participation. This 36-item questionnaire has been designed to measure students' self-concepts toward engineering design tasks [20]. It assesses four areas related to engineering identity development: self-efficacy, motivation, expectancy, and anxiety. Our students showed
approachpermitted engineering contextual-based discovery/analysis learning experiences thatutilized intentionally aligned engineering processes with content and concepts presentedthrough the study of science, language arts, social studies, and mathematics.Targeted measures of student science, engineering, and design competency, studentattitudes toward STEM, student STEM self-efficacy, and teacher STEM self-efficacywere gauged in a pre-assessment/survey and a post-assessment/survey format. The Pre-Assessment Understanding of Science and the Post-assessment Understanding of Scienceinstruments along with the Pre-Assessment Understanding of Engineering and Designand the Post-Assessment Understanding of Engineering and Design instruments weredeveloped by the
include 1 mixed-method, 6 qualitative and 6quantitative studies. The sample sizes ranged from 4 to 15,771. All the sources included werepeer-reviewed and framed as research studies, rather than as practitioner papers. Additionally,the quality of each of these studies was systematically assessed. The full texts of the 13remaining qualifying studies were then examined and coded to reveal themes within the existingbody of knowledge.DiscussionAlthough the total number of publications examined was quite small, clear trends existed in thedata collected. The majority of articles measured students’ confidence or some form of self-efficacy in the classroom or the workplace. The quantitative studies measured a variety ofoutcomes, but almost never found
. Schwarzer and M. Jerusalem, “Generalized self-efficacy scale. Measures in Health Psychology: A User's Portfolio”, Causal and Control Beliefs, vol. 1, pp. 35-37, 1995.[30] D. J. Espiritu, B. O'Connell and D. Potash, “Equity, Engineering, and Excellence: Pathways to Student Success”, in 2021 ASEE Virtual Annual Conference, Virtual Conference, 2021.[31] Excelencia in Education, “10 Trendsetting Institutions Certified with Seal of Excelencia for Intentionally Serving Latino Students”, 29 October 2021. [Online]. Available: 12 https://www.edexcelencia.org/press-releases/10-trendsetting-institutions-certified-seal-excelencia
concreteengineering and cross-disciplinary tasks using a Bandura-style confidence scale. The surveyincluded self-efficacy questions that measured the ability of students to complete tasks that fallunder the following three ability areas: Engineering (use of math, science and engineering concepts, problem solving, experimentation, design) Cross-disciplinary (use of knowledge and perspectives from social science/humanities in problem solving, integration of engineering and social science/humanities knowledge and concepts in problem solving) Professional (teamwork, writing, oral communication).Disciplinary engineering skills are the skills that students are expected to develop through theircoursework in a single engineering discipline; cross
personnel, and others. In our approach, first, we devised course-specificmentoring objectives through literature surveys and pre-course surveys. To achieve theseobjectives, we created a set of mentoring activities. We also designed evaluation metrics to assesswhether there are any changes in students' perceptions toward computing programs and perceivedimpacts on students' self-efficacy and sense of belonging over time. Through these analyses, wetried to measure whether we need to design course-level-specific mentoring to help ourunderrepresented students attain their computing careers. We believe our mentoring should helpour underrepresented and predominantly major students who may hesitate to pursue a computingprogram or require enhanced self
aerospace engineering students and analyzed the students’ self-reported background factors, engineering identity, and engineering self-efficacy. Studentinformation such as GPA, retention information, demographics, SAT/ACT scores, and initialmajor of study were acquired from the university and analyzed with the self-reported data todetermine significant measures of success. The results of our investigation can inform the designand implementation of pre-college engineering programs.Introduction The workforce demand for engineers is increasing, but student retention and graduationrates are staying constant which means that soon the need for engineers in the United States willsurpass the engineering population. Only 57% of engineering
SystemsTheory recognizes that variation in individuals’ development “exists across time within contexts,and across contexts within time;” as a result, “differences in time and place constitute vitalcontributors to plasticity across the life span” [13]. Given the variations by time and place, weexpect a diverse range of pathways of individuals who are on their way to the engineeringprofession.The Social Cognitive Career Theory (SCCT) [14] posits that one’s learning experiences caninfluence their self-efficacy and outcome expectations, which in turn influences their interests,goals and, ultimately, career choice actions; these learning experiences are affected by personinputs (such as predispositions, gender and race) and contextual affordances (such as
self-efficacy are well equipped to educate themselveswhen they have to rely on their own initiative. One of the goals of teaching communicationskills is to develop students who feel competent and confident in the use of those skills [13]. Ourstudent survey is designed to measure the extent to which students at our study sites havedeveloped a sense of self-efficacy for communication.The survey lists the sub-skills we have identified, both from the literature and from experience inteaching communication skills, that student must master in order to successfully create anddeliver oral presentations, write, develop and use visual literacy skills, and participate inteamwork. For example, for oral presentations, we asked students about their
year of a permanent faculty position. Toinvestigate the impact of the initial cohort Alliance the participant study research question, “Howdoes the project model implementation affect student participants’ a) self-efficacy, b) researchautonomy, and c) perceptions of social support networks?” was explored.MethodologyData collection for the purposes of the initial participant study involved 9 ABD participants.Again, each participant is an HBCU instructor who is classified as ABD within an existingSTEM doctoral program. Self-efficacy, research autonomy, and social support network data wascollected in pre-assessment and post-assessment format for the project implementationparticipants. Research self-efficacy was measured through the existing Self
utilized the Makerspace as compared to other traditional EE projectsin the control group, and their design self-perception via administration of the Measuring EngineeringDesign Self-Efficacy survey. Fabrication and performance details such as insights into electroplating,characterized waveguide VSWR and insertion loss, and horn antenna radiation pattern as simulated vs.measured will also be stated.IntroductionMany of our EE Senior Design projects have limited scope beyond traditional EE design activities. Thesetraditional activities have consisted of audio projects (such as headphone amplifiers or a mixer), sensingand data gathering platforms (water quality or air temperature), child protection systems, and robotics.Robotic competitions have
professional STEM careers. These students all live in the sameresidence hall and are afforded opportunities such as peer mentoring, on-site tutoring,professional certification opportunities, and social and community activities. Through this study,we attempt to answer the following questions: What are the essential elements of WISER thatcontribute to student academic and career development? What learning experiences embedded inWISER directly or indirectly increase student self-efficacy and positive outcome expectations inengineering?Literature ReviewThe theoretical framework for this study will be the social cognitive career theory (SCCT).SCCT is grounded in Bandura’s social cognitive theory and is used to explain how academicinterest along with career
SurveysThe PRISE assessments and surveys have been fully developed and administered via Qualtrics.The surveys on students’ engineering self-efficacy (Mamaril et al., 2016, self-coping efficacy(Concannon and Barrow, 2009), engineering interest measure (Henderson et al., 2002), andcareer outcome expectations (Concannon and Barrow, 2009) have been administered as our mainoverall program learning outcome. Data collection was at pre-intervention (before students’ firstyear), at mid-year (at the end of each fall semester), and post-intervention (end of each springsemester). Focus groups and/or individual interviews were used to evaluate scholars’ attitudesregarding their collegiate experience, impact of the program on their success and experience
-efficacy by asking four items on a 5-point scale (1= notconfident at all; 5=completely confident): “how confident are you in your ability to engage in thefollowing activities related to being an entrepreneur or an individual who starts a company, eitheralone or with others? 1) successfully identify new business opportunities, 2) create new products,3) think creatively, and 4) start a business with a new idea. The items were averaged to calculatethe entrepreneurial self-efficacy variable.Entrepreneurial identity aspirations We asked six items to assess the entrepreneurial identity aspirations measure on a 5-pointscale (1 = strongly disagree; 5 = strongly agree): “I think I can become an entrepreneur,” “I cansee myself as an entrepreneur
exploration as a theme, and the other used micro controllers as thefoundation for activities. The goals of this research are as follows: 1. Develop effectivecurricula for improving student self-efficacy in CT, 2. Develop a reliable and effective wayof measuring student self-efficacy in CT, and 3. Enforce the notion that CT is not problemsolving (PS), but a component of cognition.Background and Related Work“Computational thinking involves solving problems, designing systems, and understandinghuman behavior, by drawing on the concepts fundamental to computer science”26. However,computational thinking (CT) is not intended to be equated to computer science; rather theessence of CT comes from thinking like a computer scientist when faced with problems
impact ofcollaborative project-based learning (CPBL) on the self-efficacy of traditionally underrepresented minoritygroups in electrical engineering courses with the support of NSF. The project goals include: 1) Improve theunderstanding of the factors that affect the self-efficacy of minority student groups in Engineering; 2) Developbetter ways to measure the impact of collaborative learning in the developmental stages of the student learningprocess in addition to the learning outcomes; 3) Design a more effective instructional system that integratescommunity inquiry to boost the self-efficacy of underrepresented minority students.Since 2013, the research effort has produced interesting results that allowed us to better understand the
, e.g., “I am confident that I canunderstand engineering outside of class”).Engineering self-efficacy was measured using a 5-item scale developed by Maramil et al. [32](e.g., “I can master the content in the engineering-related courses I am taking this semester”; “Ican do a good job on almost all my engineering coursework”).Engineering mindset was measured using a 3-item scale adapted from Hong et al. [33] (e.g.,“You have a certain amount of ability in Engineering, and you really can’t do much to changeit”).Intention to remain in the engineering major was measured using a 4-item scale adapted fromScott et al. [34] (e.g., “I have thought seriously about changing majors since I began inengineering”).Intention to pursue a career in engineering was
science teacher fellows. Gunning presents her research on science teacher self-efficacy, vertical learning communities for teacher professional develop- ment and family STEM learning at international conferences every year since 2009 and is published. She is the Co-Director and Co-Founder of Mercy College’s Center for STEM Education.Dr. Meghan E. Marrero, Mercy College Dr. Meghan Marrero is a Professor of Secondary Education at Mercy College, where she also co-directs the Mercy College Center for STEM Education, which seeks to provide access to STEM experiences for teachers, students, and families. Dr. Marrero was a 2018 Fulbright Scholar to Ireland, during which she implemented a science and engineering program for
hands-on problemsolving and group work using zoom breakout rooms. The virtual in-class active-learning wasimplemented through solving of appropriately scaffolded problems at varying levels of Bloomstaxonomy. Virtual peer-to-peer interactions were implemented through the use of Zoom breakoutrooms.Assessment Instruments: The impact on the students’ motivation as a result of the learningenvironment, was measured using the Motivational Strategies and Learning Questionnaire(MSLQ) [14]. This instrument measures the dimensions of self-efficacy (5 items), intrinsic value(9 items), test anxiety (4 items), cognitive strategies (13 items) and self-regulation (9 items) on a5-point Likert scale (1- Strongly Disagree, 2 - Disagree, 3 -Neutral, 4- Agree, 5
completing design tasks to be the same. Additionally, it was found thatstudents had a significant increase in their development of this combined confidence-success factorover the course of a semester (p-value = .002). Based on extensive research by Godwin et al.13,measures of self-efficacy (presented as performance-competence), alongside subject interest andrecognition by others, have shown to be an important factor to students’ development ofengineering identity. It is suggested then that active learning may allow students to develop anengineering identity11.Initial qualitative work from Major & Kirn11 found five emerging themes: 1) students discovereddesign tasks they were competent in or not competent in, which lead to motivation to complete
Engineering Education. American Society for Engineering Education. Vancouver, B.C., Canada, June 26-2913. Selvi, E., Soto-Caban, S., Taylor, R.S. and Wilson, W.R., 2011. Similar Consecutive Bridge Design Projects for Freshmen and Sophomore Level Engineering Courses. In American Society for Engineering Education. American Society for Engineering Education. Vancouver, B.C., Canada, June 26-2914. Abramowitz, H., 2008. Basswood Bridges. In American Society for Engineering Education. American Society for Engineering Education. Pittsburgh, Pennsylvania., June 22-2515. Mamaril, N.J., 2014, Measuring undergraduate students’ engineering self-efficacy: a scale validation study, Ph.D. Dissertation. University of Kentucky. Lexington, Kentucky.16
were built on those used in previous studies of predoctoral student careerdevelopment, including the formation of self-efficacy beliefs [48] - [50]. We asked trainees howthey selected externship sites, what kind of projects they completed, the goals they identified,and whether those goals were achieved. We asked how participating in the externship influencedtheir self-efficacy beliefs, career interests, and goals. We finally asked about the extent to whichtrainees received feedback, and how the results of the externship were woven into futureprofessional development or research after returning to their home institution.Survey measures were developed from career development literature focusing on clinicalresearchers, predoctoral students, and
-concepts of math ability are also examined 10,14. According toBandura16, math anxiety has an inverse relation to self-efficacy levels. Thus, increasing mathself-efficacy may decrease students’ feelings of anxiety when they perform math activities 17.There is some ambiguity concerning the possible effects of math anxiety on students, and thisambiguity is normally generated by the different ways by which math anxiety is measured. Forexample, including survey items and questions that could combine students’ perceptions of theirmath abilities with their feelings about performing math tasks can create ambiguity 13. If mathanxiety is not established and measured as an independent factor, developing a conclusion aboutits effects on students’ behavior and