Scholarship Program.To gain further insight as to whether the scholarship program contributed to students’ persistencein STEM, questions from the PITS assessment survey were included in the ASPIRE EvaluationSurvey. The PITS survey was originally designed to measure the psychological outcomes ofundergraduate research experiences relevant to persistence in STEM. The survey was modifiedfor the ASPIRE Program by excluding two of the components; that is, project ownership contentand scientific community values. Students were asked to rate the extent to which they agreedwith statements pertaining to words that described their experience with the scholarship(emotions); confidence in their abilities to function as an engineer/scientist (self-efficacy
biomedical # of students enrol- concentration Measurement ofFunding from courses ling into single Increase secondary Self efficacy forNSF Workshop courses of the con- students under- STEM and Career material for centration standing and inter- aspirations (for secondary # of students est in STEM ca- secondary and school teach- Improved and new- reers post-secondary
the MSLQ were scored and assembled into fifteen groups as per [19], andincluded among other groups: intrinsic goal orientation, extrinsic goal orientation, task value,control of learning beliefs, self-efficacy for learning and performance, test anxiety, rehearsal,organization, critical thinking, time and study environment management, and peer learning forexample. Only the self-efficacy for learning (Pearson correlation = 0.31, n = 42) and time andstudy environment management (Pearson correlation = 0.37, n = 42) rose to the marginalcorrelation level with exam 1. The MSLQ was not selected as a tool for identifying at-riskstudents on two accounts. First of all, for lack of a strong correlation between the MSLQ andexam 1, it does not seem
1. Briefly, the centerpiece of the program is our quarterly Success inSTEM seminar, which students take every quarter for their first two years at University ofWashington Tacoma. Through these weekly sessions, students connect with each other and withtheir faculty cohort mentor, learning to support each other through challenging times,developing a growth mindset towards their academic journey, understanding barriers that leadto equity gaps in STEM such as stereotype threat and imposter syndrome, and building a senseof belonging and self-efficacy. The seminar allows participants to explore co-curricularopportunities (e.g., student clubs), campus resources such as disability services and financial aidoffices, and career preparation, while
change.Teachers play a significant role in helping students develop an awareness of, and interest indifferent career opportunities [1]. They also help shape a students’ self-efficacy and expectationswhich can have a significant impact on the student’s choice of careers [2]. Unfortunately, manyteachers either have little knowledge of the field of engineering or have misconceptions about thefield such as failing to identify engineering as a career that helps humanity [3-4]. EngineeringCommunity Engaged Learning (CEL) is an excellent way to help teachers understand howengineering, as well as other STEM careers, can have a high level of community engagementwhile using creativity to help humanity.For the 2022-2023 Global STEM cohort, RET participants engaged
engineering classes. Institutions might also discover theneed for introductory computational thinking courses that previously were not included in thecurriculum.ECTD results will also allow instructors to understand how their student cohorts function acrossthe broad areas of computational thinking. By using the results, the instructors can focusclassroom and assessment activities to help students mature computational thinking factors thatare less developed. The long-term impact would be classroom instruction that helps increasestudent self-efficacy and improve student enculturation into the engineering profession. ReferencesCattell, R. B. (1966). The scree test for the number of factors. Multivariate
of our PD program in terms of the design of our courses and Saturday workshopsbased on feedback from the teachers. There will also be efforts in facilitating and sustaining acommunity of practice for the teachers.AcknowledgementsThe authors would also like to acknowledge the other collaborators on the project and teachingassistants and instructors of the two summer courses and the Saturday workshops. This workwas supported by the National Science Foundation under grant no. 1837476.ReferencesPeteranetz, Markeya, Shiyuan Wang, Duane Shell, Abraham E. Flanigan, and Leen-Kiat Soh. 2018. “Examining the Impact of Computational Creativity Exercises on College Computer Science Students’ Learning, Achievement, Self-Efficacy, and Creativity
of an empathy index rooted in social cognitive neuroscience and social justice,” Soc. Work Res., vol. 35, no. 2, pp. 83–93, 2011.[12] A. Bandura, Self-efficacy: The exercise of control. New York: W.H. Freeman and Company, 1997.[13] D. Verdín, A. Godwin, G. Sonnert, and P. M. Sadler, “Understanding how First- Generation College Students ’ Out-of-School Experiences , Physics and STEM Identities Relate to Engineering Possible Selves and Certainty of Career Path,” in IEEE Frontiers in Education, 2018.[14] D. Verdín and A. Godwin, “The Relationship Engineering Identity and Belongingness on Certainty of Engineering Major for First-Generation College Students,” in Paper presented at the 2019 annual
, “Relationships between Metacognition, Self- efficacy and Self-regulation in Learning,” ECPS - Educational, Cultural and Psychological Studies, no. 7, pp. 115–141, Jun. 2013[16]. Komarudin, Marji, E. Sutadji, and Widiyanti, “Increase the problem solving ability through improved prior knowledge,” Journal of Physics: Conference Series, vol. 1700, no. 1, p. 012043, Dec. 2020[17]. M. C. Whatley and A. D. Castel, “The role of metacognition and schematic support in younger and older adults’ episodic memory,” Memory & Cognition, Mar. 2021[18]. R. DeCaro and A. K. Thomas, “How attributes and cues made accessible through monitoring affect self-regulated learning in older and younger adults,” Journal of
capital in rural development, networking and decision-making in rural areas," Journal of Alpine Research, vol. 95, no. 4, pp. 43-56, 2007.[27] C. C. Chen, P. G. Greene, and A. Crick, "Does entrepreneurial self-efficacy distinguish entrepreneurs from managers?," Journal of Business Venturing vol. 13, pp. 295-316, 1998.[28] J. Cheng, "Intrapreneurship and exopreneurship in manufacturing firms: An empirical study of performance implications," Journal of Enterprising Culture, vol. 9, no. 2, pp. 153-171, 2001.[29] E. J. Douglas and J. R. Fitzsimmons, "Intrapreneurial intentions vs.entrepreneurial intentions: Distinct constructs with different antecedents," Small Business Economics, vol. 41, no. 1
, and A. Crick, "Does entrepreneurial self-efficacy distinguish entrepreneurs from managers?," Journal of Business Venturing vol. 13, pp. 295-316, 1998.[29] J. Cheng, "Intrapreneurship and exopreneurship in manufacturing firms: An empirical study of performance implications," Journal of Enterprising Culture, vol. 9, no. 2, pp. 153-171, 2001.[30] E. J. Douglas and J. R. Fitzsimmons, "Intrapreneurial intentions vs.entrepreneurial intentions: Distinct constructs with different antecedents," Small Business Economics, vol. 41, no. 1, pp. 115-149[Online]. Available: http://www98.griffith.edu.au/dspace/bitstream/handle/10072/55296/80979_1.pdf?sequen ce=1[31] Enterprise Florida. (2008). Statewide
instruments to make questions more readable for andrelevant to elementary students. For engineering identity items, we drew on social identity theory[11]–[13] to select items which assess the recognition, interest, and performance/competencefactors of identity. Based on literature review and participant responses, we added items to assessoutcome expectations and STEM fascination. To assess engineering identity, we drew from the16-item revised Engineering Identity Development Scale (EIDS) [14], the Engineering Interestand Attitudes Survey (EIA) [15], STEM Fascination and Competence/Self-efficacy Scales[16][17], the STEM Career Interest Survey (STEM-CIS) [18], the Modified Attitudes TowardScience Inventory (M-ATSI) [19], and the Persistence Research in
second-year STEM courses. Theworkshop is designed to promote active learning and strategies to reduce student resistance toactive learning [16]. We developed student and instructor surveys to assess the workshops’ impact. Thestudent survey focuses on instructors’ use of active learning, instructors’ use of the associatedstrategies to reduce student resistance, and students’ responses to active learning [17]. Theinstructor survey measures instructors’ intentions and motivation (value and self-efficacy) forusing active learning as well as strategies to reduce student resistance to active learning [18]. We assessed three pilot offerings of the workshop by measuring instructors’ attitudestoward active learning before and after
Efficacy and BeliefInstrument or STEBI during the first week of the program and again in December of 2015.34Both the MTEBI and STEBI collect information about the teachers’ self-efficacy and expectedstudent outcomes.34 For the 2015 cohort changes in the Math and Science teachers’ self-efficacyand expected student outcomes were not significant at the 0.05 level.Results of the evaluations obtained as of January 2016 were mapped to the detailed programobjectives and are summarized below. Recommendations for adjustments are included at the endof each objective summary.Objective A: Teach engineering concepts to over 1,000 K-12 students over the project period,including students from schools with a significant minority population: Participants
engineering; what it takes to be successful inthe engineering program; and their advice to incoming minority students. A fourth questionasked for their assessment of the effectiveness of seven academic support program components.Major student responses were coded for thematic content or tabulated and then entered intoregression equations against four measures of achievement, including students’ GPA, longevityin the program, average SAT/ACT scores of minority students in the school of matriculation, andtheir school's effectiveness in graduating minority students as assessed by 6-year graduationrates. Responses positively associated with achievement indices were then factor analyzed toisolate common clusters associated with success in engineering
% 55.0% 50.0% No Intervention Design Intervention Early Career Intervention Non First Gen Retained First Gen Retained Figure 4: First Generation vs. Non-First Generation Retention Rates by Intervention TypeFirst generational students are at a higher risk of not being retained in any college major, let alonein engineering, citing their lack of preparedness, lack of integration into postsecondary education,and lower self-efficacy than their non-first generational peers [19-20]. While the original purposeof this study was not to increase first-generational retention rates, the prospective results ofintervention were enticing enough to warrant further
, pp. 5–12, 2021. [9] A. Hajdarpasic, A. Brew, and S. Poenici, “The contribution of academics’ engagement in research to undergraduate education,” Studies in Higher Education, vol. 40, no. 4, pp. 644–657, 2015.[10] A. Carpi, D. M. Ronan, H. M. Falconer, and N. H. Lents, “Cultivating minority scientists: Undergraduate research increases self-efficacy and career ambitions for underrepresented students in stem,” Journal of Research in Science Teaching, vol. 54, no. 2, pp. 169–194, 2017.[11] E. K. Faulconer, J. C. Griffith, Z. Dixon, and D. Roberts, “Comparing online and traditional student engagement and perceptions on undergraduate research,” Scholarship and Practice of Undergraduate Research, vol. 3, no. 3, pp
. This experience has sparked my passion towards helping develop technology that has a meaningful real-world application, and further solidified my intention to pursue bioinformatics or computational biology in grad school and as a career. Spring 2022Evaluation ResultsThe Center for Evaluating the Research Pipeline part of the Computing Research Associationevaluates the ERSP program every year. Their first evaluation of ERSP at UIC [6], showed thatERSP students had increased levels of experience with research, working with colleagues onresearch, analyzing data, and presenting research reports, six months after completing ERSP. Otherstudent measures such as self-efficacy and sense of belonging did not show a statistical
tools for implementation of basic processes of active physics learning in classroom: An initial feasibility study with prospective teachers," Eur. J. Phys. Educ., vol. 4, no. 2, 2013.[9] A. Febrian, O. Lawanto, M. Cromwell, “Advancing Research on Engineering Design using e-Journal,” in ASEE/IEEE Frontiers in Educ. Conf., El Paso, Texas, USA, October 21-24, 2015.[10] M. L. Loughry, M. W. Ohland and D. DeWayne Moore, "Development of a Theory- Based Assessment of Team Member Effectiveness," Educ. Psychol. Meas., vol. 67, no. 3, pp. 505-524, Jun. 2007.[11] A. R. Carberry, H. Lee and M. W. Ohland, "Measuring Engineering Design Self- Efficacy," J. Eng. Educ., vol. 99, no.1, pp. 71-79, Jan. 2010.[12] J. Barbera, W.K. Adams, C.E
part of a study of outcomes of STEMliving/learning communities13. Refinements to the survey include adding items related to goalorientation, which emerged from the analysis of interview data. We have also added a section onproblem solving self-efficacy, a student attribute that we theorize will be important in connectingstudent motivation and problem solving and which will serve as an outcome for the structuralequation model we will be building.The purpose of this paper is to outline two major areas within the project that address each of theresearch questions, including initial qualitative studies to identify and characterize factors thatare relevant to engineering student motivation, and quantitative studies to develop and test theMAE survey
-environmental engineering. Educational areas of interest are self- efficacy and persistence in engineering and development of an interest in STEM topics in K-12 students.Dr. Laura Frost, Florida Gulf Coast University Laura Frost is the Director of the Whitaker Center for STEM (Science, Technology, Engineering, and Mathematics) Education and Professor of Chemistry at Florida Gulf Coast University. The Whitaker Center serves as a regional hub for expertise and leadership in STEM education reform across all lev- els of education including professional development for STEM faculty. Dr. Frost is actively engaged in reforming STEM education through inquiry-based teaching and evidence-based practice and has demon- strated increased
annual conference. Assessment Surveys have been developed in conjunction with a PhD student in psychology and an outside evaluator. Pre-‐program surveys have been given to the supplemental instructors, peer mentors, current transfer students and students at LSU. BRCC surveyed continuing and graduating STEM students in April 2013. These surveys helped to develop topics and components for trainings and the transfer programs. Feedback after the program will also be used in the planning of the next year’s programs. Additionally, pre-‐training surveys were given to the SIs and peer tutors to obtain a baseline of their self-‐ efficacy
expectations related to their majors and experiences.An encrypted numeric ID (privy only of the program support assistant and destroyed at the endof the program) is created for each participant with the main purpose of analyzing the genderrelated questions.MATERIALSSURVEY CONTENT: The survey instruments were chosen to collect program evaluationresponses and to measure beliefs, expectation/perceptions of engineering and science careers,self-efficacy, and other constructs. From the surveys, specifically the NSF-funded AssessingWomen and Men in Engineering (AWE) project at Penn State University provided several ofthe instruments used in this study [7]. After a review of the literature, an assessment plan wasdeveloped to focus on career, confidence
during group work andcollaborative learning [26], [27], but the lack of negative results among both US and non-UScitizens is notable. An interesting question that these results do not address is whether cross-national interactions led to any overall declines in non-US citizens’ self-efficacy or self-confidence about their CS knowledge and skills (as opposed to comparisons with one’s partner).With the exception of driving role, the lack of effects of partners’ national origin among UScitizens is also noteworthy. Any linguistic or cultural challenges that US citizens encounteredmay been balanced out by the benefits of potentially different perspectives that non-US citizensbrought to these collaborations. It is also possible that the work of
analyzing school, teacher, and classroom effects on student learning out- comes. Dr. Bagaka’s has also been involved in studies utilizing hierarchical linear modeling to identify the value-added indicators of school and teacher effectiveness on student achievement. His recent work on the role of teacher characteristics and practices on upper secondary school students’ mathematics self- efficacy was published in the International Journal of Science and Mathematics Education. Dr. Bagaka’s is a recent African Regional Research Fulbright Program scholar to Kenya where he conducted research on teacher beliefs and practices on high school mathematics self-efficacy.Dr. Matthew W Roberts, University of Wisconsin, Platteville Dr
and the extent to which they view themselves as a “STEM person”. Slightly modified version of the Chemistry Motivation Questionnaire (Glynn & Koballa, 2005), which includes 30 items that measure the following six student factors: Intrinsic Motivation, Extrinsic Motivation, Self-Efficacy, Self-Determination, Goal-Orientation, Anxiety-Related Motivation. The Sense of Belongingness scale [8], which is part of the National Survey of Student Engagement, used by Higher Education Research Institute at UCLA and the Center for Post-Secondary Research and Planning at Indiana University. This instrument operationalizes "belongingness" in a number of different contexts, including
considered to have higherfailing probability in lower level gatekeeper courses. The identification of at-risk students in lower-level engineering courses in this project is based on assessment of student prerequisite knowledgeretention, student past performance, and/or student self-efficacy [8]. As part of Activity 4,supplementary instruction in the form of mentoring sessions was also provided to help studentssolve homework. The mentoring sessions were recommended to all students in the course; but,they became mandatory for at risk students. In addition, the developed early at-risk identificationsystem allowed the instructors to determine the preparation of the students at the beginning of thesemester to tailor the instruction during the semester
. Taking guidelines for good evaluation plans [19], the formative andsummative evaluation plan utilizes a comprehensive and widely used CIPP (Context, Input,Process, Product Evaluation) model [20]. Given the relatively small sample size, statisticalanalysis is expected to be largely descriptive, both aggregate and by subgroup, to report onproject implementation and progress toward performance measures. T-tests will be used todetermine significant differences in teachers’ self-efficacy survey responses from pre- to post-test. Qualitative data collected through interviews, product review, and observation, will beanalyzed throughout the project. The outcomes that are being evaluated are briefly outlined: Institution Outcomes: To strengthen a
student growth concerning: conceptual learning via concept inventory and Concept Warehouse questions; student measures of interactive engagement and frequent formative assessment viewed through the Interactive, Constructive, Active, and Passive framework (ICAP);15 student social network development related to participation in ICAP activities; and other student outcomes measures (such as content self-efficacy) based on faculty particular interest in students in their classrooms.7. Utilize and facilitate individualized portions of above data collection processes with faculty regarding student growth to inform reflection and change to practice.8. Develop ICAP and social network student instrument mentioned above utilizing established
-based research approach [10], the teamwill research students’ learning of and ability to integrate socio-scientific reasoning [11] and designthinking (Li et al., 2019; Razzouk & Shute, 2012), as well as changes in students’ perceptions of scienceand engineering and engineering self-efficacy. For students, we leverage the funds of knowledgeframework[12], [13] in our curricular structure to help students make connections between their socialand community knowledge or resources and the project. The project team will also develop a robust set ofprofessional development (PD) workshops and aim to investigate how the PD and classroomimplementation impacts teachers engineering design self-efficacy, classroom teacher moves, and views offront-end