workshops were designed to help students think more creatively in their class projectsand practice a growth mindset [14] through short exercises demonstrating cognitive biases,barriers, and traps that prevent people from finding creative, novel solutions to problems.Thereby, we hope that students would be less likely to fall into these traps. According to a recentstudy by Burnette et al. [15], students in a growth mindset intervention, relative to the control,reported greater entrepreneurial self-efficacy and task persistence on their main class project andimprovement in their academic and career interests. Reducing the negative effect of the cognitivebiases, barriers and traps requires deliberate and repeated practice of CPS techniques. Althoughwe
will be used for participant selection in futurechapters.MethodsMotivation and Attitudes in Engineering SurveyThe MAE survey [7], [8] consists of 5 sections with 86 items related to goal orientation [34],FTP and Expectancy (E), task specific metacognition, problem-solving self-efficacy [35], anddemographic information. This paper presents a CA of the domain- and context-specific FutureTime Perspective (FTP) items utilizing the FTP and Expectancy section. The FTP items containfive theoretical factors: Perceived Instrumentality (PI), Perceptions of the Future (F), Future onPresent (FoP), Value (V), and Connectedness (C). The Value and Connectedness items, adaptedfrom Husman and Shell [1], [12], were added based on previous qualitative FTP work
assessment then becomes a part of the learning experience instead of simplyan exogenous metric.As mentioned earlier in this paper, a literature review revealed a paucity of investigation intoassessment linking student course expectations to instructor expectations; therefore, it is difficultto interpret the specific results of this work within the context of the current literature. Within thecontext of assessing student self-efficacy, various facets of this assessment instrument touchedon the students’ self-measure of ability to accomplish specific tasks (e.g. Judgment, Item 3, “Ican apply different ethical frameworks to analyze an ethical problem.”) and reach specific goals(e.g. Confidence, Item 10, “I feel I can do something when I hear about bad
scores and students comments, it is apparent that students feel prepared for furtherlearning in FMHT. The cognitive measures indicate that students made significant gains in thefirst three components of Finks taxonomy (knowledge, application and integration). A follow-upto gauge how the students in this sequel compare to those who did not, especially in the cognitivedomain, would be quite interesting. The survey also show gains in the “caring” dimension of thetaxonomy which can also be tied to the “value” motivational theory. There was indication thatthe students have a high level of self-efficacy and self expectancy feelings towards this class andthe sequel. A good number of the students, surprisingly, appeared to show an achievement
of aninnovation. For example, effective learning should not only include use of classroom clickers bythemselves, but also in engaging in social construction of knowledge by peer discussion ofclicker responses. The last suggestion is to facilitate implementation of innovation by workingwith peers through workshops and colloquia. This needs to be done to provide personal supportand build self efficacy for instructors who want to implement innovative materials and practicesin their classrooms. These concepts and ideas about implementation and diffusion of innovativeteaching materials in STEM were used to inform development of materials described in thispaper.Adaptation of more effective teaching and learning requires that new materials be not
necessary component of developing a professional identity andrefers to a student’s perceived support, connections, and feeling of mattering to a group [10]. Asense of belonging is important for persistence and performance in higher education. Research © American Society for Engineering Education, 2024 2024 ASEE Midwest Section Conferenceshows that belongingness predicts academic self-efficacy [11], re-enrollment decisions [12],intentions to persist [13], academic engagement [14], and academic achievement [15, 16, 17].Specific to engineering, Marra and colleaguees [18] found that lack of belonging was among themain reasons for leaving engineering and a sense of belonging predicted intentions to
recruitment procedures, we asked faculty members to fill out a pre-survey regardingtheir attitudes towards student development, their self-efficacy for supporting student success, theirpedagogical choices, and their perceptions of barriers to implementing the intervention alongsideits efficacy. Six engineering faculty completed the survey, all of whom were willing to implementthe intervention in their course. Unfortunately, the lack of response from uninterested facultyprevents us from characterizing the differences between this population and those willing toimplement the intervention. These differences remain a subject of future research. Due to the smallsample size (n = 6) tests of statistical significance were considered inappropriate and no
differences in GPA alone. Analysis of students’survey responses shows that real-time feedback and unlimited submission attempts helpedstudents assess their learning progress and motivated them to continuously improve theirsolutions. Instant feedback and unlimited submission attempts were regarded by students aslikely having positively impacted academic integrity in the course. The effect of automatedfeedback and optional assignments on students’ need to visit office hours is explored.Implications for future pedagogical practice and research are discussed.IntroductionTimely and effective feedback provided to students on their submitted work has the potential tosignificantly enhance learning, improve student self-efficacy, reduce drop-out rates, and
minor werephrased as questions in a recent assessment of the program:281. How does the minor affect students’ motivation and self-efficacy?2. Are these students more successful in tackling ambiguous problems and thinking innovatively?3. Are these students more likely to see the connections to aspects of problems outside those related to their individual discipline, especially relating to business and finance?4. Do these students exhibit better communication, leadership, and teamwork skills?This study28 of existing student attitudes found: • While there were statistical trends that the students in the minor had a higher self- efficacy, no definitive statements could be made regarding this difficult to measure
] 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
diversity. We developed an instrument for measuringstudents’ latent diversity from a review of the existing literature as well as interviews withundergraduate students. A detailed description of this process can be found in [7]. This surveymeasured students’ epistemic beliefs, innovation self-efficacy beliefs, STEM role identityconstructs, motivation, personality, and background factors such as race/ethnicity, genderidentity, sexual orientation, ZIP code, and parent(s) level of education. Students responded toitems measuring their attitudes and beliefs on a 7-point anchored numeric scale. We administered3,855 paper and pencil surveys to 32 ABET accredited institutions to understand students’ latentdiversity. These schools were recruited from a list
work collaboratively. Reasons for this are that methods for assessing andproviding feedback to students relative to team learning are not well developed and are Page 22.241.2challenging to implement.In response to this opportunity, we have designed, developed, and evaluate targeted assessmentstrategies that specifically focus on improving team learning and performance practices. Fouruniversity programs are described with reference to the team assessment measures deemedappropriate within each context. Assessment measures developed include a cross-disciplinaryteam learning (CDTL) self-efficacy; a survey of cross-disciplinary functioning; and a
-aggressionsthat impact their health, sense of belonging, self-efficacy, and persistence. Some types of harmsare not explicitly obvious to outside observers, such as alienation, stereotyping, thinly veiledsexist and/or racist comments, and being passed up for opportunities because of their race orgender [20], [24], [26]–[28]. Even worse are instances of harassment and assault and theimproper ways that higher education institutions commonly handle such cases [29], [30]. Simplyput, the diversity problem in engineering higher education is self-perpetuating: the climate isinhospitable for marginalized students, so many of them do not persist in engineering.The absence of people of color as faculty is also a problem deeply rooted in a history of racismand
"soft skills" (a.k.a."essential skills") as advocated by ABET 2000. A more recent example is provided by Boylan-Ashraf who includes hands-on lab activities as part of an arsenal of active strategies applied in anintroductory solid mechanics course (based on presented topical coverage the course would serveas a course in statics). Indicated advantages of active strategies include their increasedlikelihood (compared to lecture-based activities) to provide experiences that are significantenough to build connections as well as a strong association with improved self-efficacy. It isfurther suggested that hands-on learning may promote student retention.Developing contextual knowledge for the "machines" topic In spite of the potential advantages
motivationtowards achievement [27]. Research indicates that Visualisation meditations can significantly diminish levels ofstress, anxiety, and depression while fostering a rise in achievement-oriented motivation among students [28].Additionally, programs focusing on visualization have been shown to cultivate self-awareness and lessen anxiety,particularly in female university students over an 8-week period [29]. Beyond its therapeutic effects, visualizationalso sharpens creativity, insight, and focus, contributing to a more productive and focused performance [30]. Thus,future envisioning successful outcomes can enhance self-efficacy and stress management [27].Music during meditation Music has been shown to enhance meditation practices, offering benefits
, Seattle. Her research interests in engineering education focus on the role of self-efficacy, belonging, and other non- cognitive aspects of the student experience on engagement, success, and persistence and on effective methods for teaching global issues such as those pertaining to sustainability.Dr. Sandra D. Eksioglu, Clemson University Sandra D. Eksioglu is an Associate Professor of Industrial Engineering Department at Clemson Univer- sity. She received her Ph.D. in Industrial and Systems Engineering at the University of Florida in 2002. Sandra’s research interests are in operations research with applications in supply chain, transportation systems, and energy systems.Joanna Wright, University of Washington
. Since educational robotics activities are often designed to promote situated cognitionand learning, we believe that the lack of trust in robotics may adversely affect student’s cognitionand understanding of STEM concepts underlying the robotics lesson. Note that the concept of trustin robots for young age middle school students, who may have less experience with technologiesin general and robots in particular, may differ from the concept of trust in robots for moreexperienced technology persons, including the teachers. Moreover, it may be necessary to examinewhether different STEM disciplines and gender affect students’ trust levels in robots for theirrobotics-aided lessons. The concept of trust in robots may also be connected to teachers’ self
STEM skills and self-efficacy,8 (b)provide college credits5 to eligible students, and (c) mitigating the disconnect between college and highschool education.9 EI is becoming popular and increasing number of participants are joining thisprogram, not only from the USA but alsofrom the abroad. In 2011, 307 high EI Participantsschool students attended EI program at 300various sites in the USA (Fig. 1). 250During 2011, following 16 sections were Number of
StudyLooking at the leaky pipe has not made significant progress towards understanding all thedimensions of the problem. Women are not and have not entered or persisted in engineering.There is not one single factor that can be pointed to in order to explain why women are notreceiving undergraduate engineering degrees. Previous explanations offered by the field havefocused on student characteristics or looked at a single dimension. The interaction of curriculum,the field, subjective grading scales, unrealistic demands, and declining self-efficacy cannot beseparated from each other. A more complete picture needs to be formulated. The purpose of thisstudy is to understand the social, structural and curricular constraints on the field of engineeringand
knowledge, monitoring, and control and discovered that students whoidentify successful learning strategies are more likely to meet their learning goals. In fact,Bandura [16] suggests there is a relationship between self-efficacy and performance and de laFuente et al. [17] found evidence that, by providing mastery experiences, students gained anincrease in self-efficacy which, in turn, resulted in better academic performance.Moneva and Tribunalo [18] observed a direct correlation between students’ self-confidence andtheir ability to perform tasks such that the more self-confidence a student possessed, the lessanxiety they had towards doing assigned tasks and the more likely they were to succeed at thetasks at hand. The current study focused on self
techniques and assessment tools will be utilized toassess and improve engineering education at both the undergraduate and K-12 levels throughvaried techniques: i) undergraduate module lesson plans that are scalable to K-12 levels, ii) shortinformational video lessons created by undergraduates for K-12 students with accompanying in-person mentorship activities at local high schools and MakerSpaces, iii) pre- and post-testassessments of undergraduates’ and K-12 participating students’ AM knowledge, skills, andperceptions of self-efficacy, and iv) focus groups to learn about student concerns/learningchallenges. We will also track students institutionally and into their early careers to learn abouttheir use of AM technology
practice between early elementary teachers, K-12 STEMCenter staff and Ph.D. student volunteers could boost in-service, inner city teacher ability andself-confidence to teach coding and introduce robots as authentic, real-world digital learningopportunities. Based on the teacher responses to surveys administered pre- and post-PD sessionsby an independent external evaluator, the results show this to be true.Overall, the first- and second-grade teachers who participated in the BOTS program held apositive perception of these activities, as measured in the surveys from the four PD sessions.These surveys show that teachers felt more confident in implementing the material in theclassroom and demonstrated improved self-efficacy navigating through Code.org
science in the future, weargue that the intervention must influence teacher and students’ goals and beliefs. Research inmotivation has demonstrated that teachers are unlikely to engage in instructional innovationsunless they are confident in their ability to instruct in this new way15,16. Teacher confidence intheir instructional skills has been called teaching self-efficacy. Likewise it is important thatstudents’ have positive/adaptive goals for learning about science. Mastery goals have beenassociated with student persistence and increases in interest over time17,18. The teacher from this Page 23.518.15learning experience wrote written
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
wereadopted by the faculty in 2020 and approved by the university soon thereafter.The sensing threadThe new sequence includes a holdover fluid mechanics lab and three new courses that prioritizepractical, hands-on experiences, with a focus on the inquiry process, sensing, and data analysis.By centering the principles of self-efficacy and knowledge transferability, we aspire for ourstudents to apply these skills to solve cross-cutting problems. These courses also explicitlyacknowledge underlying shifts in CEE practice that demand an understanding of sensing andcomputing. The three courses are: (1) CEE Infrastructure in Action: a second year fall coursefocused on local excursions to learn about CEE applications in our community; (2) Sensing andData
joining MechE and EE majors [6]. Girls,however, are not participating in pre-college robotics at the same rate as boys [7]. An analysis of pre-college extracurricular activities and their mapping to engineering majors showed that traditionaldisciplines, such as MechE and EE, had more students tinkering with electrical or mechanicalcomponents outside of school prior to entering college[8]. When girls are not part of extracurricularrobotics programs, they miss vital opportunities to develop tinkering self-efficacy. If we can attract moregirls to participate in pre-college robotics, we may open a pathway for these students to developattitudes and self-beliefs that lead them to join majors with lower representation of women [6].Critical Engineering
decision, deep learning, self efficacy, surface learning, team, and motivation. The highschool history matrix includes SAT/ACT scores, high school core GPA, high school math,English, and science grades, and number of semesters taken. Outcomes of the model can beretention in engineering and academic performance through students’ undergraduate study.In this study, only seven of the affective measures were included. Also, as a starting point, weonly focused on retention and GPA after one year. The results of this study will help determinethe potential of using neural networks to model a larger list of outcomes in the future. Page 22.70.3
professor of electrical engineering at the University of Washington, Seattle. Her research interests in engineering education focus on the role of self-efficacy, belonging, and other non- cognitive aspects of the student experience on e ©American Society for Engineering Education, 2023 Gender Harassment at Work and in School Seeing it, Solving It (Panel Discussion)AbstractThe landscape of sexual harassment has evolved since #MeToo went viral in 2017. Thankfully,more violent and more egregious forms of sexual harassment, including sexual coercion andunwanted sexual attention, have declined. Unfortunately, gender harassment and discriminationappear to have increased in
retention in engineering in their review: classroom and academicclimate, grades and conceptual understanding, self-efficacy and self-confidence, interest andcareer goals, and race and gender. The first discusses the “chilly climate hypothesis” ofengineering and STEM programs in general, citing that engineering students have often reportedleaving STEM and engineering due to the competitive environment and individualistic nature ofthe programs [1], [3]. In fact, both students who left and students who persisted described theculture as “hostile” [1], [13]. This individualistic culture of many engineering programs tends tobe more harmful to students of color, who often feel greater obligations to help others and servetheir communities [1], [8
in Fall 2021 could have had an effect on the DFW rate. The proctoring method is animportant factor which could not be done as successfully as in-person mode during the onlineinstruction. Moreover, during the pandemic, it was observed that in addition to the mode ofinstruction, the personality factors that have been proven to significantly contribute to theretention in engineering programs, were even more bold in the student success. These factors areaptitude factors, conscientiousness, openness, attitudes, self-esteem, and self-efficacy [8].Teaching in online mode encouraged the faculty to use the available technology which would notbe used in in-person classes otherwise, such as using iPads and tablets for writing lecturesinstead of writing