implementation of theprogram have generated high quality research outcomes from the participating community collegestudents. Post-program surveys also indicate success in strengthening students' identity asengineers, in increasing student interest to further engage in research activities, and in enhancingstudent self-efficacy for successfully transferring to a four-year university, completing abaccalaureate degree in engineering, and pursuing a graduate degree.1. IntroductionA recent report prepared by the President’s Council of Advisors on Science and Technology(PCAST) indicates that the United States needs to produce one million additional STEMprofessionals in the next decade in order to retain its historical preeminence in science andtechnology.1 The
focus of this paper, has experiencedsimilar outcomes. A notable uptick in graduation rates at CU occurred between 2009 and 2015,with six-year degree completions reaching 62.2%, yet recent years have witnessed plateaus inretention rates. Persistent disparities befall minoritized students [1], [2]. These stagnantcompletion rates occur in the face of substantial need for increased engineering talent, bothnationally and globally, to support fields including technology, security, transportation, andinfrastructure.The causes of student attrition from engineering are multifaceted and vary across demographics.A range of known issues includes an unwelcoming climate, conceptual difficulties in corecourses that hamper progress toward degree, lack of self
9 3 9 3 Consistent 3 9 9 1 9 9 9 9 9 TOTAL SCORE 189 161 149 89 96 120 108 120Step 3: Construct for OutcomeMotivation learning has multiple dimensions and progresses through successive stages ofdevelopment or levels of achievement. Motivation in higher education is often described by goalorientation, task value, and self-efficacy [14]. Self-determination is also important to studentmotivation [15]. Assuming that motivation is best described as affective in nature, a construct isderived from an affective
of belonging and STEM identity to students’ evaluations of theirengagement and self-efficacy in the classroom, and so it was suggested that priming students tothink about their engineering identity may impact their responses to items querying their degreeprogress or future goals [20].To determine if the final survey should use counterbalancing to prevent earlier questions frombiasing responses to later items, the PANAS was used to screen for differences in mood, eitherpositive or negative, between students who completed the different pilot surveys. The I-PANAS-SF is a short form of instrument that has been developed and tested with an internationalpopulation; it consists of ten items (comprised of five positive and five negative emotion
underrepresented groups1,2,3,4,5. Both studentsand instructors recognize that high degrees of team cohesion and collective efficacy (i.e., teammembers’ beliefs about their ability to be effective at their task as a group) are related to goodteam performance6. At the opposite end of the spectrum, poor team experiences can leaveindividuals with adequate grades on their transcripts but low subject matter proficiency, poorcomprehension of the team process, and low self-efficacy. Both faculty and students will benefitfrom improved knowledge about enhancing team effectiveness.Engineering educators need more guidance on how to design team experiences for students thatmaximize their strengths as informal learning communities and minimize their weaknesses.There
students (Part II). ASEE Annual Conference and Exposition, Conference Proceedings.Shell, D. F., & Husman, J. (2008). Control, motivation, affect, and strategic self-regulation in the college classroom: A multidimensional phenomenon. Journal of Educational Psychology, 100(2), 443–459. https://doi.org/10.1037/0022-0663.100.2.443Schell, W. J., & Hughes, B. E., & Tallman, B., & Annand, E., & Beigel, R. M., & Kwapisz, M. B. (2019, June), Exploring the Relationship Between Students’ Engineering Identity and Leadership Self-Efficacy Paper presented at 2019 ASEE Annual Conference & Exposition , Tampa, Florida. 10.18260/1-2--32817Schnitker, S. A. (2012). An examination of patience and
, game-based learning, and emergent technologies for STEM or language learning. ©American Society for Engineering Education, 2024 WIP: Managing and Assessing Students in Hybrid Software Project ClassesAbstractOne of the authors teaches two courses focused on software engineering and game development.Each of these courses has in-person and asynchronous online students taught as a single courseby the same instructor. Using active learning and authentic assessment techniques, the authorssought to improve the students’ levels of engagement. The students in both courses learn to useagile software engineering practices to deliver incremental software prototypes. Students in bothcourses were given surveys measuring
numerous national and international conferences in the fields of education and women’s studies (AERA, AESA, & NWSA). In 2009, Beckett served as a Program Evaluator for the world renowned Apprenticeship in Ecological Horticulture at the Center for Agroecology and Sustainable Food Systems (CASFS) at UC Santa Cruz. She co-authored an evaluation of two decades of the apprenticeship program (Perez, Par, & Beckett, 2010). She served as the Program Evaluator for Apprenticeships in Sustainability Science and Engineering Design (ASCEND) at UC Santa Cruz in the 2014-2015 academic year, where she collaborated with the Program Director to build new assessment to measure STEM learning through ”audio diaries,” and piloted an
Institute for research 1. Thisinstrument has been used by many colleges in the United States to measure the level of masterytheir graduates have in various skills. The instruments used in this study are composed of twomain sections. The first section contains demographic information about the professionalengineers and department heads, such as gender, race, level of education, employment type,experience, and location of the company. The second section on of the instruments contains thelist of skills that are needed for ECE graduates. The ECE professional engineers and ECEdepartment heads have been asked to rank the various skills based on their “level of importance”and the “degree of preparedness”. The focus of this paper is to highlight the
increased problem-solving confidence and objective measures of problem-solvingperformance.Chemical Engineering Review CourseFor this study, students were enrolled in a course entitled Chemical Engineering Review. Thiscourse aims at preparing students for the Fundamentals of Engineering (FE) exam throughreviewing major topics within engineering. The FE exam is a nationwide, criterion-referenced,discipline-specific test. Engineering students typically take the FE exam during their senioryear. Students take the FE exam for a variety of reasons including the pursuit of engineeringlicensure. The course is designed to review material students covered in prior courses and tosynthesize main points from those courses.The first nine weeks of this course were
surveys were created in consultation with AudreyRorrer, author of the CISE REU Evaluation Toolkit survey instruments [17.18]. The surveyscontain subscales measuring research skills, leadership skills, self-efficacy, sense of identity asscientists, intention to attend grad school, intention to pursue engineering, mentoringrelationships, attitudes about research, etc. This section contains the insights derived from theSageFox assessment report.REU Highlights:Despite the hybrid nature of the experience in Summer 2021, the data collected over the lastthree years suggests that the program has successfully inspired students of color to pursueengineering by offering them hands-on research experiences and mentorship. The survey resultsof this year showed
12.1% Native Hawaiian or Pacific Islander 0.5% White 65.1% Other 8.8% Total 100%Figure 3 shows the student ratings on their overall academic ability, and their ability with respectto Mathematics. Most students rated themselves with an above average academic ability. Ratingsare slightly worse with respect to mathematics, perhaps because most participants follow non-engineering majors (65% of the participants follow a non-engineering major). It is worth notingthat attitudes toward math and math self-efficacy beliefs are very important factors for studentsto choose a Science Technology Engineering and
assigned texts and interactions with each other and projectleaders in a workshop environment. The assigned texts opened up discussions of studentexpectations about entering the professional world; students were also taught fundamentalinterview techniques and given the opportunity to practice them with each other. This dualfocus—philosophical and practical—was intended to enrich students’ ability to thoughtfullyinterview the alumni and promote self-efficacy. Each student met with project leaders threetimes: for an introductory meeting to explain the concept of Vision Venture and to learn about thestudents’ personal goals for their participation; for a workshop discussion of assigned readingsand a lesson on semi-structured interview skills; and for
enhance critical thinking,” Metacogn. Learn.,Vol. 5, pp. 251-267, Oct. 2009, doi: 10.1007/s11409-010-9060-6.[18] D. Kember, J. McKay, K. Sinclair, and F. K. Y. Wong, “A four‐category scheme for coding and assessing the level of reflection in written work,” Assess. Eval. Higher Educ., vol. 33, no. 4, pp. 369-379, Aug. 2008, doi: 10.1080/02602930701293355.[19] D. Akamatsu, M. Nakaya, and R. Koizumi, (2019). “Effects of metacognitive strategies on the self-regulated learning process: The mediating effects of self-efficacy,” Behav. Sci., vol. 9, no. 12, p. 128, Nov. 2019, doi: 10.3390/bs9120128.[20] A. Efklides, “Metacognition defining its facets and levels of functioning in relation to self-regulation and co
Factors Program. Her research focus includes self-efficacy, mental toughness, and microaggressions. Darnishia is also the Pavlis Educator and Manager of Global Engagement Programs in the Pavlis Honors College at Michigan Tech. She’s a foodie who enjoys spending time with friends and family as well as impromptu road trips! © American Society for Engineering Education, 2022 Powered by www.slayte.com Reflecting on Culture in an Immersion Experience: How to Prepare Students for the UnexpectedAbstract:Experiential learning is increasingly recognized as a high-impact educational practice, andreflection is an essential piece of
to theseissues, and perhaps new interventions need to be designed to increase women's self-efficacy inSTEM classes.With regard to the other observations about timing, modality, and repetition, further inquiry isnecessary to establish if the results are situational or suggestive of general patterns. The authorsintend to maintain working through a Community of Practice to refine the questions and generatefurther data to support more definitive conclusions.AcknowledgementsThis material is based upon work supported by the National Science Foundation under GrantNos. Grant Nos. 1821445, 1821638, 1821439, and 1821603. Any opinions, findings, andconclusions or recommendations expressed in this material are those of the author(s) and do
institutions will be presented.IntroductionVirtual mentoring is not a new practice, it has been in existence for over 20 years [5], [6] [7], [8],[9]. The online setting can seamlessly connect undergraduate students across the country withmentors, and the GradTrack program was initially started in 2021 during the COVID-19pandemic. Virtual mentoring has also been shown to increase sense of community, STEMachievement, career self-efficacy, and drive to persist in mentors and mentees [10].The GradTrack mentoring structure is a scalable group and peer mentoring model, with 2graduate student mentors from Purdue with 5-7 URM undergraduate student mentees fromacross the United States and Puerto Rico joined in a mentoring circle. The second iteration of
of service learning and presents two senior capstone projects indetail: designing and building a zipline tower and two timber bridges for a local community. Thispaper outlines the entire design and build process from conception to completion, with emphasison problem definition, development of design ideas, communications and interactions withstakeholders, detailed designed improvement, and construction issues. Based on the learningoutcome assessments and feedback from the local community, these successfully providedprojects successfully provided vehicles to enable students to develop their technical skills andenhance their social self-efficacy and employability.IntroductionService learning was first pedagogically defined by Sigmon in 1979
. Previously developed instruments could be utilizedto look at impact on design self-efficacy with students who have access to an academicmakerspace at different stages in their undergraduate career [15].References[1] E. Halverson and K. Sheridan, “The Maker Movement in Education,” Harvard Educational Review, vol. 84, pp. 495–504, Dec. 2014, doi: 10.17763/haer.84.4.34j1g68140382063.[2] S. Carlson, “The maker movement goes to college”, Chronicle of Higher Education, vol. 61, A26– A28, 2015.[3] V. Wilczynski and R. Adrezin, “Higher Education Makerspaces and Engineering Education,” presented at the ASME 2016 International Mechanical Engineering Congress and Exposition, Feb. 2017, doi: 10.1115/IMECE2016-68048.[4] M. M. Hynes
. Sense of belonging is positivelyassociated with retention and persistence [10], self-efficacy [11], and a successful transition tocollege [12]. When sense of belonging is lacking, students’ academic performance suffers [9].Sense of Belonging in Online EnvironmentsPilcher [13] extended Strayhorn’s [7] sense of belonging work and applied it to a review of theliterature on establishing community in online learning spaces. Two models of communitydevelopment in online learning spaces emerged in Pilcher’s [13] literature review: (1) aconceptual framework called Community of Inquiry (COI), which explains that teaching, social,and cognitive presence contribute to community development, and (2) a measurement modelcalled Rovai’s Classroom Community Scale
-19 pandemic differs from these earlier and continuing trends in distance learning, notonly in terms of scale and pervasiveness, but, importantly, also in self-efficacy. This switch wasinvoluntary for both teachers and learners. Wei and Chou found that learners’ perceptions ofself-efficacy had a marked effect on their learning readiness in the remote environment [23]. Thisleads to challenges with engagement, as observed in several studies [11-16]. Serhan evaluatedstudent perceptions of the Zoom platform and found that students were not motivated to activelyparticipate in a remote setting [16]. This is in line with prior studies that report a lower level ofengagement, participation and retention rates [17], [26] and overall reduced
senior design or capstone projects,” ASEE Annual. Conf. Expo. Conf. Proc., vol. 2018-June, no. July, 2018.[20] S. Gillespie and A. Maccalman, “A Case Study in Developing an Integrated Data and Model Management System for the Development of a Complex Engineered System,” in 2018 IEEE Technology and Engineering Management Conference, 2018.[21] K. Laitinen and M. Valo, “Meanings of communication technology in virtual team meetings: Framing technology-related interaction,” Int. J. Hum. Comput. Stud., vol. 111, pp. 12–22, 2018.[22] R. Khan, C. Whitcomb, and C. White, “Self-efficacy analysis of student learning in systems engineering,” ASME Int. Mech. Eng. Congr. Expo. Proc., vol. 5, 2016.[23] E
: A case for the assertion-evidence approach,” International Journal of Engineering Education, 29(6), 1564-1579, 2013.[11] L. Reave. “Technical communication instruction in engineering schools: A survey of top- ranked US and Canadian programs.” Journal of Business and Technical Communication, 18(4), 452-490, 2004.[12] M. Schuurman, M. Alley, M. Marshall, C. Johnstone, “The effect of a targeted speech communication course on the public speaking self efficacy of engineering undergraduates. In Proceedings from the 2008 ASEE Annual Conference & Exposition, Pittsburgh, Pennsylvania, 2008, June. Retrieved from https://peer.asee.org/3210.[13] C. A. Twigg, C. A. “Redefining Community: Small Colleges in
Proceedings, 2018, doi: 10.18260/1-2--30204.[56] J. A. Mejia, D. Ruiz, V. Popov, A. Esquinca, and D. Gadbois, “Board 104: Asset-based Practices in Engineering Design (APRENDE): Development of a Funds-of-Knowledge Approach for the Formation of Engineers,” in Proceedings of the ASEE Annual Conference & Exposition, 2019.[57] S. L. Dika, M. A. Pando, B. Q. Tempest, and M. E. Allen, “Examining the Cultural Wealth of Underrepresented Minority Engineering Persisters,” J. Prof. Issues Eng. Educ. Pract., vol. 144, no. 2, pp. 1–9, Apr. 2018, doi: 10.1061/(ASCE)EI.1943-5541.0000358.[58] S. L. Dika, M. A. Pando, B. Q. Tempest, K. A. Foxx, and M. E. Allen, “Engineering self- efficacy, interactions with faculty
selected to receive NSF S-STEM funded scholarships. Annualscholarships starting at $4,500 are renewable for up to 5 years and incrementally increase by$1,000 per year through year four. Students must retain in engineering and maintain acumulative GPA of at least 3.0 to renew the scholarships.2.0 MethodologyStudent participants who receive NSF S-STEM funded scholarships are required to participate insurveys, one-on-one interviews, and focus groups each semester of their undergraduateeducation. The students provide quantitative data by completing a modified version of theLongitudinal Assessment of Engineering Self-Efficacy (LAESE) survey, the twelve questionGRIT survey, and a shortened version of the Motivated Strategies for Learning Questionnaire
-Jameni, and C. Angeli, “Effect of robotics on elementary preservice teachers’ self-efficacy, science learning, and computational thinking,” Journal of Science Education and Technology, vol. 26, no. 2, pp. 175-192, 2017.
education: secondary testing might improve • Excessive focus ofHow prospective mathematics student scores but fail as a standardized testing asteachers grapple with teachers (PMTs) measure of teaching efficacy measure of teacher efficacyusing culturally • Predefined topics and rigid • Lack of classroom/curricularresponsive teaching instructional guides limit the autonomypractices in the age of extent to which teachers canstandardized testing
mental health and academic success for college students.33,34,35,36 Anecdotally, it was the authors’ experience in working with students in each speciality area (instruction of engineering content, mental health counseling and academic counseling), that students often view these components as separate and disconnected. However, it is our view that these aspects are closely interconnected and can have a cyclical effect, i.e. increasing students’ awareness and use of strategies that improve mental health positively impact academic performance,33, 35 and using effective organizational and learning strategies improve students’ academic success and therefore their self-efficacy, motivation and overall mental health.34, 36 Starting
, “Effects of process-oriented worked examples on troubleshooting transfer performance,” Learn. Instr., vol. 16, no. 2, pp. 154–164, Apr. 2006.[6] M. Ward and J. Sweller, “Structuring effective worked examples,” Cogn. Instr., vol. 7, no. 1, pp. 1–39, 1990.[7] K. J. Crippen and B. L. Earl, “The impact of web-based worked examples and self-explanation on performance, problem solving, and self-efficacy,” Comput. Educ., vol. 49, no. 3, pp. 809–821, Nov. 2007.[8] A. Renkl, R. Stark, H. Gruber, and H. Mandl, “Learning from worked-out examples: The effects of example variability and elicited self-explanations,” Contemp. Educ. Psychol., vol. 23, no. 1, pp. 90–108, Jan. 1998.[9] B. M. Mclaren, S. Lim, and K. R. Koedinger
is to be in an environment where they can interact with like-minded peers. Saturday talent development programs can be an alternative strategy for children who needmore advanced content in a specific field. Children are usually taken to programs outside ofregular schools, such as university summer camps and Saturday talent development classes.These types of programming offer several benefits to students, such as exposure to advancedcontent in diverse subject areas, highly qualified instructors, and interaction with like-abilitypeers in a learning environment where the students feel safe to be themselves7. Special talentdevelopment programs can also provide affective gains in participants’ self-esteem, self-efficacy,and academic motivation