may feel if they have low self-efficacy in this area of engineering and design.Lesson PlanPrep: Structured Practice:• Gather supplies 10 minutes• Fill bucket with water • Collaboration with partner(s). Must present finalGrouping: design before using materials. Have to spend 10• Instruction will be given as an entire group. minutes planning without touching materials. Must build exactly what is on
researchershave studied various factors for their ability to influence the performance of a student in anintroductory programming course discussed below.1.1 Factors of SuccessA wide range of factors spanning from a student’s gender to their experience with video gameshave been studied in the context of student success in programming courses. Some of the mostcommonly analyzed factors include gender [3], [4], [5], [6], prior programming experience [3],[5] – [9], and previous math or science courses [3], [8]. Other factors include self efficacy [6],[8], comfort level [3], [6], [10], motivation [10], and attributions [6], [8].There is currently little evidence that gender plays a major role in student success. Quille et al.[4] conducted a multi-institutional
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
], [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
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
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
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
exception is that Huang (2017) conducted quantitative surveyon students who participated in “Creation Youth” National University StudentEntrepreneurship Competition, and found that entrepreneurship practice education includingentrepreneurship competitions had significant positive impacts on mediating variable ofentrepreneurial self-efficacy and therefore can improve college students’ entrepreneurialintention [23]. Although the prior study has proven the promoting effect of entrepreneurialcompetition on entrepreneurial intention, it remains to explore which specific learningexperiences in entrepreneurship competitions function. This current study shall continue toexplore the specific impact of engaging in TIECs on engineering students
first-time student retention at a public Midwest community college (Published doctoral dissertation)., Saint Louis University, USA., 2013.[14] P. K. Roberts, Perceived changes in career decidedness following completion of a for- credit career class (Published doctoral dissertation), University of Northern Colorado, USA, 2004.[15] R. Reese and C. Miller, "Effects of a university career development course on career decision-making self-efficacy," Journal of Career Assessment, vol. 14, no. 2, pp. 252-266, 2006.[16] A. Scott and K. CIani, "Effects of an undergraduate career class on men’s and women’s career decision-making self-efficacy and vocational identity," Journal of Career Development, vol. 34, no. 3, pp. 263
involved in research that focuses on STEM integration, Elementary Teacher STEM identity and self-efficacy development, and the interactions between Formal and Informal learning entities.Dr. Julie Thomas, University of Nebraska - Lincoln Julie Thomas is a Research Professor of science education in the College of Education and Human Sci- ences at the University of Nebraska-Lincoln. Thomas’ research has focused on children’s science learning and teacher professional development. Proud accomplishments include collaborative efforts – such as No Duck Left Behind, a partnership with waterfowl biologists to promote wetland education efforts, and En- gineering is Everywhere (E2), a partnership with a materials engineer to
“Zip to Industry: A First-YearCorporate-STEM Connection program”. This program connects first-year STEM students withco-op/intern students within their major (or in a similar major) for several four-hour jobshadowing experiences during their initial year on campus.The purpose of this study is to investigate the impact a first-year STEM job-shadowing programon first-year students’ retention in STEM, and their knowledge of careers in STEM fields. Thestudy reported in this paper is part of a larger study that is also investigating the relationshipbetween self-efficacy, interest in STEM, and retention.Theory of ActionThe use of shadowing experiences for first-year STEM students as a means to make progress onthe research questions of this project
. Mccormack, Thompson P. Beyerlein, S., S. Howe, P. Leiffer, and P. Brackin. Assessing team member citizenship in capstone engineering design courses. International Journal of Engineering Education, 26(4):771–783, 2010.[13] R. M. Marra, K. A. Rodgers, D. Shen, and B. Bogue. Women engineering students and self efficacy: A multi-year, multi-institution study of women engineering self-efficacy. Journal of Engineering Education, pages 27–38, Jan. 2009.[14] M. A. Hutchison, D. K. Follman, M. Sumpter, and G. M. Bodner. Factors influencing the self-efficacy beliefs of first-year engineering students. Journal of Engineering Education, pages 39–47, Jan. 2006.[15] G. E. Okudan, D. Horner, B. Bogue, and R. Devon. An investigation of gender
qualitative approachprovides a deeper look into dimensions of this experience for women on the transfer pathway andtheir perception of factors contributing to success.Quantitative methodsSurvey data were collected from 414 students aged 18 or older at three community colleges inTexas between April and September 2019. Select demographics of the sample are shown in Table1, more detailed demographic information can be found in Appendix B. The survey capturedinformation on students’ self-efficacy, inclusion, motivation, and confidence in ECS usingpreviously-validated measures from the Longitudinal Assessment of Engineering Self-Efficacy(LAESE) [12] and the Academic Table 1: Demographic characteristics of survey
studentsof color (Samuelson & Litzler, 2016; Yosso et al., 2009). At the individual level, engineeringundergraduates who experience microaggressions may face decreased academic self-efficacy andself-esteem (True-Funk et al., 2020). Additionally, Camacho and Lord (2011) found thatmicroaggressions contributed to a hostile environment within engineering education. Womenwithin male dominate majors like engineering face environments widespread incidents of sexistmicroaggressions (McCabe, 2009). Among Latinx college students, microaggressions have beenassociated with negative persistence attitudes (Hernández & Villodas, 2019). Women in engineering may experience microaggressions due to their gender and racial orethnic identities (Camacho
CS1 through CS2 to CS3.The survey data was analyzed using a mixed-effects linear model for repeated measures ofquestions on the student’s sense of community in their undergraduate studies up to the point ofwhen they took the survey.The data show that students in all groups report generally positive feelings for every surveyquestions, and that mean values are fairly consistent across groups. However, we did observeseveral statistically significant effects, indicating a change in sense of community andself-efficacy. Overall, students report a small but significant decrease over time in response toquestions related to self-efficacy as they progress through the program. Women in particular showa stronger negative effect compared to men. URM
accomplish much on their own,stating that it is because the girls aren’t present to lead the group or assign tasks.Student Assessments and Self-Efficacy ScoresAt the end of each session, students spend a whole day on reflection. This reflection includesproviding feedback to their peers and analyzing their own experiences during the session. Thestudents discuss personal reflections and complete a self-assessment of their learning during thesession. The students fill out a survey which asks them to score their skill levels on specific skillsthat were used during the session such as “Brainstorming,” “Sketching,” “Prototyping,” and“2D-Design: Illustrator.” For each skill, they rate their level on a 3-point Likert scale withanswer choices “Lacking
questions that examine the following factors: affect towards design, technology self-efficacy, innovation orientation, design self-efficacy, and a sense of belonging to themakerspace. As these surveys continue, this research team plans on conducting further analysisto explore the student experience in these courses. In addition to these quantitative measures,future research should conduct in-depth interviews with students and TAs about theirexperiences. Finally, a comparative case study amongst faculty members would be useful inexamining different approaches to iteration and pedagogy to further establish best practices.ReferencesAmerican Society for Engineering Education. (2016). Envisioning the future of the maker movement: Summit Report
often report low levels ofconfidence in a wide range of teaching skills, from facilitating group discussions to handlingstudent cheating. 2,3 In light of these issues, it is crucial to establish effective programs to train andsupport new GSIs in developing both pedagogical knowledge and practical teaching skills.There exists substantial evidence suggesting that semester- or year-long courses aimed towardtraining GSIs are effective in increasing GSI self-efficacy. 2,3,4 The benefits of these coursesinclude improvements in GSI competency that persist years after the course is completed. 5Numerous works have been published in recent years detailing best practices andrecommendations for the development of these graduate student teaching courses
research interests include experimentally driven research with several radio access technologies (WiFi, WiMAX, LTE, 5G-NR), conducted under real environment settings, the dis- aggregation of base station units, Multi-access Edge Computing and NFV orchestration using open source platforms.Dr. Karen Cheng, Columbia Engineering Dr. Karen Cheng is an Outreach Program Specialist at Columbia University School of Engineering and Applied Science. A former research scientist turned high school math teacher, she recently completed her Ph.D. in mathematics and STEM teacher education, with research interests in the development of professional motivation and self-efficacy among K-12 STEM teachers in the framework of out-of-school
programming, while effective forstandardized, intervention-like programming, is limited in duration and scope in terms ofworkforce development compared to local chapter-based programming. However, localprogramming poses challenges as it is highly dependent volunteers’ self-efficacy and heterogenousin available resources and knowledge capital to obtain national uniformity. To the authors’knowledge, limited to no information about chapter-based programming or its evolution isavailable in the literature from these organizations. It is noted that there have been engineeringeducation research of students’ academic performance in their participation in national engineeringdiversity organizations [3, 4]. This experience report provides a decade-long insight
are unrelated to pastacademic achievement and ability, but are instead cultural, social, and psychological impediments thatresult from students’ experiences within STEM programs and society at large (see Godwin et al., 2016 &Steenbergen-Hu et al., 2018). The construct of Identity has become one of the most useful tools forunderstanding and assessing the experiences of students from underrepresented groups withinundergraduate and graduate STEM programs. Indeed, a strong STEM identity has been shown to bepowerfully related to a students’ interest in STEM fields, beliefs about their own capabilities withinSTEM (i.e., self-efficacy), and motivation to persist to graduation (Collins, 2018). However, research hasalso shown that incompatibility
in theworkplace and their career outcomes. Studies have shown that BWEF experience slightly higherstress than other faculty [2,3]. Time constraints on completing activities, promotion concerns, andvariations in expectations contribute to these higher stress levels; this is particularly true for women ofcolor at four-year colleges [3]. Additionally, the findings from other studies report that BWEF tend toencounter unique challenges along the tenure track [3], and have high extended family responsibility[1]. These factors can contribute to a lower self-efficacy, which correlates to feelings of institutionalfit [3]. On the other hand, perceptions of institutional fit can also be positively influenced bymentoring. Before moving on to mentoring
students’ intention to pursue STEM career will be assessed using Social Cognitive Career Theory. Students will take surveys about their intentions to pursue career in STEM disciplines prior to and after participating in the ambassadress program. The model of Social Cognitive Career Theory accounts for the development and influence of students’ self-efficacy, expected outcomes, and interests in STEM professions.Indicator 2 Parents will respond to a survey regarding their conceptions toward STEM before the ambassadress program, after they attend the “Family STEM Night,” and after the ambassadress program. Success will be indicated by positive changes in parents
while they were in Korea.Specifically, evaluation methods include: 1. Registration form: When the selected five students register, they will complete a form that includes questions (open-ended and Likert scales) about their expectations for the program and research & cultural preparation. 2. Pre-program survey: This survey will include questions about expectations (open-ended and Likert scales) as well as questions that gather baseline data regarding knowledge, perceptions, and self-efficacy. The latter questions will be matched to post-program survey questions. 3. Mid-program survey: This survey will collect formative feedback regarding the program experience and structure. 4. Post-program survey
instrument. Aggregation provides increased power for inferential statistics to examinethe outcomes of the intervention on construct(s) of interest – including ones related to self-efficacy and place attachment. It also allows for more robust descriptive statistics to examinedifferences between characteristics of interest.Interviews Exploring Attachment to PlaceGiven our interest in the emergence of attachment to place within the C-EEEM efforts as anoutcome, the research team retained an independent external evaluator [24] specializing inenvironmental sociology to validate and expand on our findings. As noted, qualitative datacollection by internal researchers through the duration of the grant indicated a positive shift bymost interns in place
boost students’ interest inSTEM fields is to increase teachers’ perceptions and self-efficacy with engineering and STEMconcepts [6]. While most teachers have the necessary educational background in math andscience, their knowledge and experience related to engineers, engineering and technology arevery limited [7]. This causes a lack of widespread engineering education at the K-12 level.Previous research reveals that teacher professional development programs have a positive impacton the students’ achievement [8, 9] as well as providing benefits to the teachers. With this inmind, STEM focused teacher professional development programs that provide opportunities tothe teachers to engage in authentic STEM and specifically engineering and technology
an understanding of students' chemistry education backgroundas well as their intent of study to be able to analyze the results based on their majors (majors willbe clustered and included in the drop-down list). The questions related to motivation assessmentare selected from the attached reference to mainly focus on the three factors of motivation: self-efficacy (Q4 and 5), active learning strategies (Q6-8), and science learning value (Q9-11). Q11looks particularly at whether the response is major-dependent. The questions with the highestloading of these three factors have been chosen. Moreover, to ensure the survey quality, a reversequestion has also been included (Q5).Voluntary Qualtrics surveys containing an informed consent statement were
through formation of student learning communities," in AIP Conference Proceedings, 2010, pp. 85-88. 5[20] J. Bruun and E. Brewe, "Talking and learning physics: Predicting future grades from network measures and Force Concept Inventory pretest scores," Physical Review Special Topics-Physics Education Research, vol. 9, p. 020109, 2013.[21] R. Dou, E. Brewe, G. Potvin, J. P. Zwolak, and Z. Hazari, "Understanding the development of interest and self-efficacy in active-learning undergraduate physics courses," International Journal of Science Education, vol. 40, pp. 1587-1605, 2018.[22] J. P. Zwolak, R. Dou, E. A. Williams, and E. Brewe, "Students’ network integration as