academic climate, grades and conceptual understanding, self-efficacy and self-confidence, high school preparation, interest and career goals, and race and gender.” [5]There have been repeated calls to reimagine engineering education to better prepare students forthe 21st century (e.g. [6]). Institutions across the country have redesigned their introductorycourse experiences in engineering in recent years. This includes, for instance, Oregon StateUniversity [7], James Madison University [8], Norwich University [9], Portland State University[10], Temple University [11], Clarkson University [12], and University of California, Irvine [13],among others. However, this is not a US-specific phenomenon, with institutions in othercountries reporting similar
Sensor Networks in Health Care 72 2013 System STEM Outreach: Assessing Computational Thinking and 49 2017 Problem Solving Cloud Computing in Computer Science and Engineering 30 2012 Education Survey of Cybersecurity Education through Gamification 24 2016 The Impact of STEM Experiences on Student Self-Efficacy 22 2016 in Computational Thinking Gamification-Based Cyber-Enabled Learning Environment 20 2016 of Software Testing Exploring Computing Identity and Persistence Across 18 2019 Multiple Groups Using Structural Equation
report, we hope to include various measures of success forthis project that will aid in better understanding how short summer camps can be leveraged toincrease student knowledge of STEM integration and student interest in future STEM careers.The project team will conduct both a process and outcome evaluation. We will evaluateattendance at the camp and the community educator training as a measure of process evaluationto measure dose delivered and received. We will also measure fidelity of implementation of thecurriculum. For the outcome evaluation, we will measure community educator geospatialtechnological content knowledge and self-efficacy. We also aim to incorporate communityeducator definitions of success in their own camps as an evaluative
the effects of learningstyle and personality on online learning system use and outcomes. In Baherimoghadam et al.,2021 [20], authors examined the effect of learning style and self-efficacy on satisfaction of e-learning in Generation Z dental students. The study defined learning style as “a combination ofcognitive, emotional, and physiological characteristics [which] might indicate how a student canlearn,” and used the Solomon and Felder learning styles index to measure different learningstyles which has four characteristics, including processing, perception, input, and understanding.Using SPSS to analyze their results, the authors found that active processing and globalunderstanding learning style characteristics had significant relationships
variables that SCCT is built upon. The first is self-efficacy beliefs. That is,how a person perceives their ability to do something. These beliefs are dynamic and can changefrom activity to activity as well as over time. The next variable is outcome expectations. Aperson is more likely to do something if they believe the outcome will be positive (for them, forsociety, or in whatever sense they choose). The last one is personal goals, and it relates to bothself-efficacy and outcome expectations. Personal goals are often what drives people to pursue acertain academic path and are usually grounded in what they believe they can do (self-efficacybelief) and the intention of a positive outcome (outcome expectations).Research of the application of SCCT to
.” Ultimately,perceived norms are shaped by an individual’s perception of other’s attitudes toward thebehavior and social expectations about the consequences of the behavior – critical components ofintention.The third component, perceived behavior control, encompasses individuals’ perceptions of theircapacity or control over executing a specific behavior. This concept aligns with the notion ofself-efficacy [36], where actions are contingent upon one’s belief in their capability to performthem, as acknowledged the authors: “It can be seen that our definition of perceived behavioralcontrol…is very similar to Bandura’s conception of self-efficacy” [4, p. 155]. In this manner, theRAA connects to behavioral theories commonly employed in engineering
, "Design thinking as an approach for innovation in healthcare: Systematic review and research avenues," (in English), BMJ Innovations, vol. 7, no. 2, pp. 491-498, 2021, https://doi.org/10.1136/bmjinnov-2020-000428.[11] R. F. DeVellis, Scale development: Theory and applications, 3rd ed. Thousand Oaks, CA: Sage Publications, 2003.[12] A. Jackson, "Validity evidence for the general engineering self-efficacy and engineering skills self-efficacy scales with secondary students," in Proceedings of the 2018 ASEE Illinois-Indiana Section Conference, West Lafayette, IN, 2018, https://doi.org/10.5703/1288284316863.[13] K. A. Douglas and Ş. Purzer, "Validity: Meaning and relevancy in assessment for engineering
education, vol. 6, p. 184, 2015. 11. N. McDonald, A. Akinsiku, J. Hunter-Cevera, M. Sanchez, K. Kephart, M. Berczynski, and H. M. Mentis,“Responsible computing: A longitudinal study of a peer-led ethics learning framework,” ACM Transactions on Computing Education (TOCE), vol. 22, no. 4, pp. 1–21, 2022. 12. G. C. Graber and C. D. Pionke, “A team-taught interdisciplinary approach to engineering ethics,” Science and engineering ethics, vol. 12, pp. 313–320, 2006. 13. A. R. Carberry, H.-S. Lee, and M. W. Ohland, “Measuring engineering design self-efficacy,” Journal of Engineering Education, vol. 99, no. 1, pp. 71–79, 2010.14. P. R. Pintrich and D. H. Schunk, “Motivation in education: Theory, research, and
-Atlantic private college. This exploratory study includes the perceptionsof two engineering faculty members and one educational support staff using mastery-basedteaching and assessment in a project-based engineering program. A semi-structured interviewwith multiple open-ended questions were used to prompt participants to share their experienceswith assessment in relation to their self-efficacy around teaching and their perceptions ofassessment in relation to their students’ failure mindset, metacognition (awareness of learningprocesses), and agency (ownership of learning). Directed content and thematic analysis wereused to identify codes and develop themes in relation to how participants described certainfeatures of assessment in their engineering
for(b). The 2021 and the 2022 cohort maintained the student motivation to figure out how to learnthe most difficult course materials. On the contrary, the 2022 cohort even exhibited an increasein the mean for (b) at T2, which is the end of the first term. The course was able to foster agreater sense of self-efficacy for students post-pandemic.Moreover, across the years, students in subsequent years (during and post-pandemic) exhibitedhigher motivation levels in comparison to the 2019 pre-pandemic cohort at T1, T2, and T3respectively. Table 3 lists comparisons across the years including means, standard deviations,sample sizes and p-values. Using 2019 pre-pandemic cohort as a baseline for comparison, at theend of the first term T2, the 2020
difficult in nature. Research has shown that self-efficacy increases dramatically withcross-disciplinary learning in project-based teams [8]. We observed a similar increase in self-efficacy. When asked to comment on one significant impact of the program students will takeaway – working as a member of a team was a common topic. Below are the take-aways by yearrelated to what students learned with respect to working together, building confidence and/or theimportance of having diverse people working together to solve complex sustainability problems.2021 • The skills needed to work in a team setting when long distance (over zoom). • I thought that working with a diverse group of people and applying the SUSTAIN skills provided an awesome
cognitive factors that exert significantinfluence on individuals' career-related behaviors and decisions. These expectations function asanticipatory beliefs concerning the consequences of specific actions within a career context [5].Positive OE bolsters motivation, shapes goal-setting processes, guide decision-making, andcontributes to individuals' self-efficacy beliefs [4]. In essence, OE plays a pivotal role in shapingindividuals' career trajectories and development by providing a cognitive framework throughwhich they evaluate potential outcomes and make well-informed choices [4].Bandura [4] delineated three types of OE, suggesting that positive outcomes can serve asincentives while negative outcomes may act as disincentives to persist in a
create educational initiatives that improve students'mental health [26]. The study conducted by Hylton et al. (2017) examines the effects of activelearning and flipped classroom pedagogies on motivation and design confidence, which can havea positive effect on mental health in the classroom [27]. The study by Lee et al., (2020) highlightsthe critical role that academic self-efficacy plays in fostering mental health and academic successby examining the relationship between test anxiety and academic self-efficacy as predictors ofacademic performance [28].Exemplar Studies: The conclusions drawn from the two studies discussed in this section providea vital direction for formulating approaches that tackle the substantial influence of exam anxietyon
participation of high school autistic students, whohave historically been excluded from or under-served in both engineering education (i.e., secondary,higher education) and industry. ECIIA addresses the following research questions: (1) Is virtual reality(VR) effective in increasing access to engineering education for individuals with autism?; (2) Doesparticipation in the VR environment and accompanying support result in the development of engineeringidentity, engineering self-efficacy, engineering interest, and an understanding of the engineering designprocess?; (3) Does supporting individuals with autism in the VR environment as Community Collaboratorsresult in increased understanding, and presumed competence and advocacy for individuals with autism
engineering incorporates hands-on projects, known as experiential learning, which have beenshown to increase interest in pursuing sciences, improve self-efficacy and technical skills, and result inhigher retention rates in engineering [26, 29, 30].In New Mexico, every high school student interested in participating in the Dual Credit (D.C.) Programcan enroll in college courses. This program provides access to academic, career, and technical education(CTE) courses that offer simultaneous credit toward high school graduation and a postsecondary degreeor certificate.NTU and GMCS seized the opportunity to launch a Dual-Credit engineering program. Research [31, 32,33] has shown that in courses where high school teachers teach college courses in high
could spend on research [4].While a career in academia typically requires research, teaching, and service, most doctoraldegrees in the United States are conferred at research intensive universities, where researchaccomplishments are prioritized over instructional training for future faculty members[5]. However, as some engineering PhD students wish to pursue a more teaching-focused careerat a PUI, or a primarily undergraduate institution, these future faculty members eventually findthey did not feel adequately prepared for their career [1].Further investigation on the self-efficacy regarding instruction for engineering PhD students isneeded. Specifically, there is a need to better understand which areas of instruction self-efficacyare related
, connection, and self-efficacy. 100% of students agreed or strongly agreed that theyfeel a stronger sense of belonging since joining the program. All students also agreed that theyfeel welcomed by program mentors and peers, with 70% strongly agreeing. Further, 100% ofstudents reported feeling valued in the program, with 70% strongly agreeing. Most notably, 90%of students strongly agreed that they feel they can be successful since joining the APEXcommunity. Not a single student responded negatively or neutrally, demonstrating the program'sresounding effectiveness at fostering inclusivity, support, and empowerment for our studentscholars. Overall, the data highlights that comprehensive, consistent mentoring positivelyinfluences students' well-being and
experimentation, teamwork, and effective communication. By analyzingstudents' performance in these areas, the assessment aims to provide insights into the overallimpact of the PBL approach on their knowledge acquisition, practical skills, and self-efficacy inthe field of engineering.ConclusionThe transformation of the conventional materials and manufacturing laboratory into a PBLenvironment represents an effort to bridge the gap between education and workplace challenges.This WIP responds to the declining involvement in experimental curricula by introducing adynamic framework that enhances students' critical thinking, problem-solving abilities, andpractical skills. The integration of PBL aligns with the evolving demands of the workforce,emphasizing
ofcommunication and leadership skills, and increased engagement in the learning process.Additionally, they discuss the importance of faculty being a part of the student’s preparation toimprove self-efficacy and quality of the content.From 2020 to 2022, a faculty who specializes in Geotechnical Engineering at The Citadel, ateaching-focused institution in the Southeast United States, utilized four peer teaching techniquesin Introduction to Geotechnical Engineering, Geotechnical Engineering laboratory, andMechanics of Materials (Table 1).Table 1. Peer teaching methods used in this study. Peer Teaching Method Course Reciprocal Teaching Introduction to Geotechnical Engineering
such as identification, commitment,interconnectedness and cultural intelligence. These concepts draw on extensive research in socialidentity theory, self-efficacy theory, the human need for social connectedness, and research on howcultural intelligence enables people to work more effectively with culturally diverse others.In addition, the COI survey aligns well with the focus of NSF on cultivating an inclusiveprofessional culture within ERCs. This culture is characterized by open-mindedness, fairness,collaboration, respectfulness, and encouragement of professional growth. These factors echoexisting research on inclusive environments and their role in motivating individuals, drivinginnovation, and fostering creativity in diverse teams. Although
valuablecontrol measure for assessing classroom activities.Keywords: STEM education, experiment-centric pedagogy, artificial intelligence, deep learning,education assessment, student engagement, learning dynamics, classroom observation.IntroductionScience, technology, engineering, and mathematics (STEM) education is shifting fromtraditional lecture-based methods to more immersive and experiment-centric pedagogy. Thispedagogical approach aims to foster self-efficacy, critical thinking, and problem-solving skillsamong students and enhance their interest and motivation in STEM fields [1], [2]. However,assessing the effectiveness and impact of this pedagogy poses significant challenges, especiallyin measuring student engagement during the implementation of
to build this version of the circuitwere successful.Figure 3: LED calculator circuit using (a) discrete components and (b) an input/output PCB [31]Intellectually challenging PBL projects that maintain a high success rate are vital for building self-efficacy among students. In the summer 2019, a PCB version of the LED calculator activity wasdeveloped that uses surface-mounted components for the 5V regulator, switches, LEDs, andresistors. See Figure 3b. By abstracting away the complex input and output circuitry, campers wereable to focus on the wiring connections between the switches, logic gates, and LED outputs,thereby increasing the success rate of building the LED calculator to 100% for the 36 students whoparticipated when the camp was
] Rationalize the use of VRLo et al., 2021 AR Environmental Technology Acceptance N/A Implementation and evaluation[5] Education Model [75] of interventionMakransky and VR N/A Intrinsic motivation [89]; Presence [28], [30]; Development of a theoreticalPetersen, 2021 Self-efficacy [90]; Immersion [28], framework[19] Embodiment [91]; [30]; Cognitive load theory Representation
persist in engineering and STEM, did so through personal agency[9] motivation [9], self-efficacy [10], [11], familial support [9], [12], [13], and institutionalsupport [9], [13], [14]. It was found that often these support relationships were related; parentalsupport predicted student engagement, and strong familial relationships resulted in willingness toseek mentors and support in college [12]. Sense of belonging was also a crucial factor forpersistence. Smith and Lucena [15] found that first generation and low-income studentsexperience a lack of sense of belonging in engineering, and that these students were aware ofperceived differences between their continuing generation peers. Nevertheless, these studentsbrought assets to the program through
, students’ SB within a university includes their social andacademic belonging. Social belonging relates to positive social interactions with peers, faculty,and campus community, whereas academic belonging relates to academic performance,academic self-efficacy, curriculum motivation, and perceptions of belonging within aprofessional discipline [4, 5]. SB is, therefore, one of the main contributors to students’ academicsuccess, persistence, and overall well-being. The literature reports that the lack of SB isperceived differently by different student groups and is critical for underrepresented students(e.g., first-generation and low socioeconomic status) to persist in college after the first year ofstudy [6]. In engineering, women and
engineering teaching self-efficacy and outcome expectancy: exploring the impacts of efficacy source experiences through varying course modalities. International Journal of STEM Education, 11(1), 4.Lachapelle, C. P., & Cunningham, C. M. (2017, June). Elementary engineering student interests and attitudes: A comparison across treatments. In 2017 ASEE Annual Conference & Exposition.Li, Y., Wang, K., Xiao, Y., & Froyd, J. E. (2020). Research and trends in STEM education: a systematic review of journal publications. International Journal of STEM Education, 7(1). https://doi.org/10.1186/s40594-020-00207-6Margot, K. C., & Kettler, T. (2019). Teachers’ perception of STEM integration and education
identity: the impact of practice-oriented learning experiences,” International Journal of STEM Education, Vol. 10, No. 48, 2023, https://doi.org/10.1186/s40594-023-00439-2[4] N. Mamaril, E. Usher, C. Li, D. Economy & M. Kennedy, “Measuring Undergraduate Students' Engineering Self-Efficacy: A Validation Study. Journal of Engineering Education,” Journal of Engineering Education, Vol. 105, No. 2, pp. 366-395, Apr. 2016. 105. 10.1002/jee.20121.[5] G. Zhang, T.J. Anderson, M.W. Ohland, R. Carter & B.R. Thorndyke, “Identifying factors influencing engineering student graduation: A longitudinal and cross-institutional study,” Journal of Engineering Education, Vol. 93, No. 4, pp. 313–320, Oct. 2004
Engineering Education, 2024 Work in Progress: Community College Student Experiences with Interdisciplinary Computing Modules in Introductory Biology and Statistics CoursesAbstractInterdisciplinary professionals with both domain and computing skills are in high demand in ourincreasingly digital workplace. Universities have begun offering interdisciplinary computingdegrees to meet this demand, but many community college students are not provided learningexperiences that foster their self-efficacy in pursuing them. The Applied ProgrammingExperiences (APEX) program aims to address this issue by embedding computing modules intointroductory biology and statistics courses at community colleges. Here, we describe an
significant improvements in students’ interest,self-efficacy, stereotypes, and utility perceptions of engineering after participating in anengineering workshop [10]. Similarly, design experiences in secondary school education havebeen shown to develop students’ practical and professional skills. The activities influenced theirself-efficacy beliefs and shaped their future career interests [6].One of the key outcomes of pre-college engineering education is the positive impact onpromoting equity. For example, a one-day workshop for high school girls improved attitudestoward STEM fields, boosted their confidence in engineering, and enhanced their knowledge ofcareer opportunities [11]. Likewise, a one-year Engineering Projects in Community Serviceprogram
. Authoritarian parents prioritize adherence to"rigid rules" and high expectations over open dialog. Permissive parents indulge child autonomyover behavioral regulation, while uninvolved parents provide general neglect and disengagement.Several research studies have examined the relationship between parenting styles and career-decision making and career self-efficacy (Guay et al., 2003; Sovet & Metz, 2014). In another line of research, Kincaid et al. (2012) mentioned that “Bronfenbrenner (1961,1979) was among the first to suggest that parenting behaviors, including parental affection andtenable authority, may have differential effects on boys and girls'' (p. 5). Given the importance ofparents’ role and parenting styles on career decision making