individuals who might re-enlist to meet financial obligations. • Emphasize physical real-world connections.Research in the area of personal epistemologies indicates that beliefs have indirect effects on Page 22.607.4students' use of learning and self-regulatory strategies, which in turn affect academicperformance6,7. Two undergraduate students are currently working on a broad survey instrumentto measure student perceptions of a) epistemological beliefs regarding the nature of knowledgeconstruction and learning, and b) sense of purpose and self-efficacy regarding academic choicesand career aspirations. A veterans survey conducted by BCTC
promoting racial understanding),self-efficacy, leadership, choice of a service career, and plans to participate in serviceafter college 2.In the past few years service-learning has become increasingly common pedagogy inengineering programs around the globe. One reason for its popularity is the industry’sdesire for individuals with the communication and collaboration skills who are betterequipped for working in a global context 3,4.In the United States, many different universities have also incorporated service-learninginto their curricula5. Perhaps the best well-known example is the Engineering Projects inCommunity Service (EPICS) program8 created by Purdue University in 1995 and now itincludes 18 universities. Under this program freshman to senior
American Society for Engineering Education Annual Conference and Exposition Proceedings, Montreal, Canada, June 17-19, 2002. Session 2739.9. Harding, T. S., Lai, H.-Y., Tuttle, B. L., and White, C. V., “Integrating Manufacturing, Design and Teamwork into a Materials and Processes Selection Course,” 2002 American Society for Engineering Education Annual Conference and Exposition Proceedings, Montreal, Canada, June 17-19, 2002. Session 1526.10. Abdulwahed, M. and Nagy, Z. K., Applying Kolb’s Experiential Learning Cycle for Laboratory Education, Journal of Engineering Education, July 2009, pp. 283-294.11. Jaksic, N. “Improving Self-Efficacy in Engineering Students using PLC Based Traffic Light Experiments,” 2002 American Society for
MentalMeasurement4. Hacker, D., Bol, L., Horgan, D., & Rakow, E. (2000). Test prediction and performance in a classroom context.Journal of Educational Psychology, 92(4), 160-170.5. Isaacson, R., & Fujita, F. (2001, April). The effects of goals,expectations, and self-efficacy on self-regulation and performance in college students. Presented at the Annualconference of the American Educational Research Association, Seattle, WashingtonAuthorsPETER E. GOODMANN, P.E. is an assistant professor of Electrical and Computer Engineering Technology atIPFW. He earned his BS degree in Electrical Engineering from Rose-Hulman Institute of Technology and his MSdegree in Electrical Engineering from Purdue University. He has worked for 25 years in industry and
-820. [13] Dollinger, M., S. Arkoudis, and S. Marangell. (2019). “University alumni mentoring programs: a win- win?” Journal of Higher Education Policy and Management 41(4): 375-389. DOI: 10.1080/1360080X.2019.1617657. [14] Baier, S.T., B.S. Markman, and F.M. Pernice-Duca. (2016). “Intent to Persist in College Freshmen: The Role of Self-Efficacy and Mentorship.” Journal of College Student Development 57(5): 614-619. [15] Cavalli, Matthew and A. Grice. (2023). Impact of Mentoring on Student Success. Proceedings of the 2023 ASEE North Central Section Conference. Morgantown, WV. [16] Marquette Mentors, https://alumni.marquette.edu/marquette-mentors, accessed February 27, 2024. [17] Lohmann, J. R., et al
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
session[13]. Similarly, a key goal of NEO at UW is for participants to feel comfortable and confident ontheir first day of teaching. Because the Imperial College London training is for students of onespecific department, they offer a seminar to ensure that TAs are aware of all relevant processesand procedures within that department (e.g. expectations of the role, how to address seriousproblems in their taught sessions, how to claim payment). Some of these topics, such asaddressing problems, are also offered at NEO, but specifics about payment are not possible in amulti-department training session. Both training programs prepare handouts to help TAs developtheir self-efficacy [14]; at UW-Madison, for example, TAs are given a timesheet so they
group environment. Tutors are encouraged to ask questions, clarify expectations,and make contributions to the discussion based on their tutoring experience. WATTS trainingprovides generalist tutors with the background knowledge and self-efficacy to engage STEMstudents in meaningful conversations about their reports and reinforce the students’understanding and application of rhetorical principles.Given that the tutors’ focus is on writing and students’ ability to express their ideas in anunderstandable way, only two of the nine Universal Intellectual Standards of the Paul-ElderCritical Thinking Framework [7] apply to the writing tutoring session. They are: 1) Clarity: Could you elaborate further? Could you give me an example
they earned in high school. In some cases, students reactproductively to this lower grade, acknowledging the need for them to adjust their learning andstudy strategies. On the other hand, in some cases, students’ reactions to these lower gradesinclude stress, frustration, weaker engineering identities, lower self-efficacy, and sometimes evenleaving engineering programs [8], [9], [10], [11], [12].Research ContextFirst-Year Engineering CourseThe context of this study is a First-Year, General Engineering (GE) program at a large, public,land-grant university that serves an average of 2,300 students each semester. The GE programcan be taken as a one-semester 4-credit hour course (if specific pre-requisite credits aretransferred in) or as a two
everyone on the team. When asked whether the practice of engineering was whatthey envisioned that it would be, many said that the amount of teamwork involved was differentthan they expected. Undergraduate experiences made them believe that they alone would workon a process or project, but they said that the practice is much more interdependent than theyexpected.DiscussionThe statistically significant areas where returners had higher levels of self-efficacy (Synthesizeinformation to reach conclusions that are supported by data and needs; Identify the safetyconcerns that pertain to a project that you are working on; Analyze the tradeoffs betweenalternative design approaches and select the one that is best for your project) all imply theapplication
Education in the 21st Century 78.1 (2020): 61-79.[13] J. Hurley, Rubrics and the dehumanization of Education. Medium, August 12, 2020. https://profhurley.medium.com/rubrics-and-the-dehumanization-of-education-19f1907860e6.[14] K. Polston, "Students' Perceptions and Attitudes towards Rubric Assessment of Creativity." International Textile and Apparel Association Annual Conference Proceedings. Vol. 73. No. 1. Iowa State University Digital Press, 2016.[15] E. Panadero and M. Romero, To rubric or not to rubric? The effects of self-assessment on self-regulation, performance and self-efficacy, Assessment in Education: Principles, Policy & Practice, 21:2, 133-148, 2014, DOI: 10.1080/0969594X.2013.877872.[16] E. Panadero, and A
beforemeeting as a class, and during class time, readings are discussed and more practices arecompleted [12]. Peer instruction has been shown to be effective in upper and lower level courses,improving student achievement, satisfaction, and self-efficacy. Peer instruction even improvesretention rates in introductory level programming courses. Peer instruction is effective formultiple reasons. Firstly, the questions that replace lecturing are specifically designed to fosterinteraction with course content. Secondly, students make use of classroom time to practice andask their peers questions, actively engaging with material as opposed to passively listening tolectures.Pair programming is the practice of two programmers sitting side-by-side on one computer
. 00CH37135) (Vol. 1, pp. F1F-21F1F). IEEE Computer Society.18. Stanford, J. S., Rocheleau, S. E., Smith, K. P., & Mohan, J. (2017). Early undergraduate research experiences lead to similar learning gains for STEM and Non-STEM undergraduates. Studies in Higher Education, 42(1), 115-129.19. Carpi, A., Ronan, D. M., Falconer, H. M., & Lents, N. H. (2017). Cultivating minority scientists: Undergraduate research increases self‐efficacy and career ambitions for underrepresented students in STEM. Journal of Research in Science Teaching, 54(2), 169-194.20. Dong, W., Eddy, R. M., Mendelsohn, D. M., Koletar, C., Matelski, M., & Barraza, E. (2021). “Effects of Research-Related Activities on Graduation at a Hispanic Serving
the team. For example, we examined the pre-post workshop survey to determine theprincipals’ understanding of the value of an equitable CS education. We asked teachers to com-plete a survey that measured their self-efficacy teaching CS equitably pre- and post-professionaldevelopment. There were multiple points of data collection (each quarter over a 12-month period,pre- and post-workshops, pre- and post-training, etc.), which are too many to list within the contextof this paper. However, we provide greater context of evidence that supports or refutes a hypoth-esis in the next section in an effort to illustrate how we used the ToI model to report back to theintervention team.Using the evidence gathered from the schools various team members, we
rural children includes recognizing the importance ofconnecting the students’ experiential habitats in their engineering learning and for their sense ofself-development [24]. Similarly, in the LED program, a priority in the curriculum is to supportstudents’ engineering identities and their self-efficacy related to science and engineering.In Practice: Our Work Thus Far for 2D/3D Modeling Curricula DevelopmentDeBoer Lab and partners are collaborating in designing an assessment to recognize the priorskills of the students in their ability to communicate ideas for 2D/3D modeling and prototyping.This assessment would support future work in designing a curriculum with activities for studentsto aid their engineering problem-solving process with 2D/3D
student aspirations.In this paper, we present results from Year 2 of a three-year longitudinal study takingplace in five high schools within a large urban school district in the Northeast. A total of934 boys and girls participated in the second year of data collection. Prior resultssuggested that engineering interests and aspirations were related to school characteristics,science and math self-efficacy, and experience with extracurricular activities.15 Giventhese findings, we subsequently asked specifically about student knowledge ofengineering and experiences of engineering recruitment, in order to investigate thosedirect effects on college engineering aspirations. Survey data is used to examine highschool students’ knowledge of engineering
. (Edward T. Higgins, Eds. Los Angeles, CA: SAGE, 2012, pp. 43–61.[10] S. A. Gelman, The essential child origins of essentialism in everyday thought. Oxford University Press, 2003.[11] F. J. Jourden, A. Bandura, and J. T. Banfield, “The Impact of Conceptions of Ability on Self-Regulatory Factors and Motor Skill Acquisition,” J. Sport Exerc. Psychol., vol. 13, no. 3, pp. 213–226, 1991.[12] J. J. Martocchio, “Effects of Conceptions of Ability on Anxiety, Self-Efficacy, and Learning in Training,” J. Appl. Psychol., 1994.[13] C. Tabernero and R. E. Wood, “Implicit Theories versus the Social Construal of Ability in Self-Regulation and Performance on a Complex Task,” Organ. Behav. Hum. Decis. Process., vol. 78, no. 2, pp. 104
. Interpersonal Level of interpersonal confidence. The variable explores the relationship Confidence between self-efficacy and persistence in engineering education. Seymour identified “feeling discouraged/losing confidence due to low grades in early years” as a persistence factor [9,10].4. Confidence in Confidence in engineering knowledge and skills. Technical knowledge and Engineering skills refer to proficiency in science, critical thinking, real-world problem Knowledge & Skills solving, and computation. Professional knowledge and skills refer to (Technical, proficiency in business, communication and teamwork
conceptualizations and measures of leadership confidence and risk orientation. Somestudies of leadership applied to students, for example, use a self-efficacy approach [16, 17] oremploy broad multi-dimensional assessment instruments [18], while others use more focusedmeasures of certain skills or abilities [19, 20]. Our data collection was subject to practicalconstraints that led us to employ simple, generalized measures, as described in the Methodssection alongside a more detailed discussion of the rationales behind our conceptualization ofthese variables.Literature ReviewResearch suggests that students’ confidence in their leadership abilities correlate with theirparticipation in various voluntary student groups or activities, such as athletics
benefits of peer-enhanced learning, moredeveloped evaluative skills, a greater sense of belonging, improved self-efficacy beliefs, andhigher levels of intrinsic academic motivation. The merging of the two evidence-basedassessment approaches promises a scalable assessment modality hybridizing the pedagogicaldimensions of the former two assessment practices. Our study of students’ surveyed perceptionsabout peer oral exams offers perspectives on the qualities and potential role of peer oral exams ineducational practice and suggests directions for future educational research.IntroductionThe rapidly evolving professional ecosystem of the Fourth Industrial Revolution is placing highdemands on STEM education at an unprecedented rate [1], [2]. Principle
community.In this context, collaborative learning pedagogies represent an opportunity to increase students’motivation and support students’ development of effective learning strategies. In content-heavybiomedical engineering courses, high-stakes assessments such as tests or exams often elicitanxiety, low expectancy to succeed, and low self-efficacy for students, corresponding todecreased motivation. Collaborative testing has been demonstrated to improve students’performance [8]–[10], leading to the hypothesis that collaborative testing also improves students’perceptions of their learning environment based on development of effective learning strategies.Collaborative testing has been reported to improve retention and recall (e.g., [7]–[10
” methods [11,15]. Active frameworks have many benefits suchas: student preference [16], self-efficacy [17], and student engagement [18]; all of which contribute to theclassroom climate. Perhaps the most popular method for active learning in recent engineering educationliterature is the inverted or flipped classroom where lectures are moved outside the class time [12-13]. Ameta-analysis by Lo and Hew [19] involving 29 engineering education studies concluded that flippedclassrooms promote student achievement with evidence suggesting that self-paced learning before classand increased problem-solving during class were the predominant reasons [20]. Another systematic reviewby Karabulut-Ilgu et al. [21] on the flipped classroom highlighted the following
.), Children's needs III: Development,prevention, and intervention (pp. 59–71), 2006. https://psycnet.apa.org/record/2006-03571-005(accessed Feb. 10, 2022).[3] D. Barni, F. Danioni, and P. Benevene, “Teachers' self-efficacy: The role of personal valuesand motivations for teaching,” Frontiers, 01-Jan-1AD. [Online]. Available:https://www.frontiersin.org/articles/10.3389/fpsyg.2019.01645/full. [Accessed: 02-Feb-2022].[4] A. Wigfield and J. S. Eccles, “Expectancy–Value Theory of AchievementMotivation,” Contemporary Educational Psychology, vol. 25, no. 1, pp. 68–81, Jan. 2000, doi:10.1006/ceps.1999.1015.[5] J. Schuitema, T. Peetsma, and I. van der Veen, “Longitudinal relations between perceivedautonomy and social support from teachers and students’ self
aforementionedUDL principles to assess to what extent the LMS was supporting UDL best practices. Forresponse reliability, we used the individual Cronbach’s α coefficients to measure the reliability ofeach of the question groups.Survey QuestionsThe survey consisted of four groups of questions organized into six system-wide constructs [12]and four usage / satisfaction constructs: 1. Student demographics (including disability status, conditions inhibiting attendance, gender, course they’re responding about, course being online) 2. General course website preferences and functionalities (representing educational equity, performance impact, information quality, system quality, service quality, self-efficacy) 3. Usage and satisfaction pertaining
-sufficient. However, students exhibit low self‐efficacy in self‐regulatedlearning, thus emphasizing the need to provide them with more guidance and assistance [3, 4]. © American Society for Engineering Education, 2022 2022 ASEE Illinois-Indiana Section Conference Proceedings | Paper ID 36107Self-regulated learning increases a student’s proficiency, independence, and adaptability.[5] Whenthe COVID-19 pandemic hit and classes changed to be online and/or asynchronous, students wereexpected to be more independent and proactive with their learning [6]. Performance and self-reflection phases of the self-regulated learning model promotes the students to reflect on their ownlearning and progress to intentionally improve their
as an ITprofessional [4]. To address these needs, cooperative learning pedagogies have beenimplemented in higher education settings to promote proficiency in problem-solving skills,communication, and teamwork [5], [6]. Cooperative learning implemented through small grouplearning has been largely successful in STEM courses in promoting academic achievement andstudent perceptions of self-efficacy [7], [8]. A prominent model used to characterize teamdevelopment in various settings is the Tuckman model. It lends itself well to cooperativelearning and proposes a series of stages that teams must overcome to function effectively [9].Courses should ideally be structured in a manner that implements the tenets of cooperativelearning [5] while allowing
can increase students’ interest in engineering and their self-efficacy insolving engineering problems.“Engineering Design and Management” course is the focus of this article. It introducesfundamental concepts and principles used in the implementation and management of engineeringdesign projects or processes. Topics include an introduction to engineering design, problemdefinition/formulation, information and communication, professional/social context, conceptgeneration, project planning, engineering economics, and design decision-making.2. Methodologya. Teaching methodology for the instructors:All instructors follow the same textbooks and have the same list of topics. Each instructor haslisted his/her course evaluation methods shown below
of social responsibility. Resultsshowed that, irrespective of the weighting system, volunteerism had poor to moderate correlationwith social responsibility attitudes. Looking specifically at the eight dimensions of the PSRDM,the strongest correlations existed between volunteerism and how engineering students weightedthe costs and benefits of volunteering and how they saw their professional obligation to helpothers as engineers or through their profession; though these had only weak correlations (0.3).BackgroundEngaging in volunteer activities has been shown to be very beneficial to students, not only intheir development of personal values and self-efficacy, but also having positive effects onacademic performance measures1. When tied to
, self-assessment skills, andmoral reasoning. Finally, a documentary on alternative transportation called Energy:Power Shift was shown in class to activate a vision of the role students can personallyplay in contributing to society as engineers. This served the dual purpose of promotingunderstanding the broader context, and initiating systems thinking as it helped connectstudents to concepts that at first seem disconnected (e.g., public policy and engineeringdesign). Equipped with a broad contextual understanding of their responsibility as futureengineers, students began working on their solar water heater projects.The primary goal of the first project was to build a sense of mastery and self-efficacy. Asshown on the 4DDD, mastery strengthens