become the “fixed” and “growth”mindsets. The authors explain the implications for learning based on which self-concept anindividual possesses and how that affects that individual’s motivation. Understanding a person’spsychological concept of self is very important when considering a person’s motivation for andsuccess in education. Several studies which use interventions based on students’ psychologies,including their mindsets, have proven to be effective in affecting educational outcomes [5-9],especially in at-risk and underrepresented groups.The literature includes few studies wherein the growth mindset has been applied in engineeringsettings. However, numerous papers have looked at how engineering students’ motivation [10,11] and self-efficacy
the results of the study in context, the authors conducted a literature review of related workon the study of women and URM students in STEM programs. The primary focus was on thechallenges and the causes for success and failure. Allen-Ramdial & Campbell [1] state thatisolation is one of the biggest challenges faced by URM students in STEM fields. One way tosolve this challenge and promote diversity in education is to achieve a critical mass. Unfortunately,this may not be quickly remedied in most environments, thus other intermediary options must beembraced. Isolation may diminish self-efficacy and re-affirm the negative stereotype of the lackof suitability of URM students for STEM study. The presence of peers has been shown to have
benefits of research opportunities for undergraduate students includingincreased student engagement in their education [1-3], enhanced research and laboratory skills,improved academic performance [1-5], increased student self-efficacy [6,7], and increasedunderstanding and interest for their discipline [1-4,8]. These studies also show that early andmultiple exposures to undergraduate research experiences offer the greatest benefit. Developingsuccessful research programs is particularly challenging in community colleges, most of whichdo not have on-going research programs. Establishing collaborations between researchuniversities and community colleges is key to engaging students in research early in college.In 2015, Cañada College, a federally
effort which involved early (summer semester sophomore year)internships are outlined in Sriraman, et al. [3]. However, research indicates that retention inengineering is connected to the development of engineering identity [4]. Thus, while earlyinternships contribute to student retention, the underlying mechanism that is at work resulting inimproved retention is engineering or professional identity development that occurs during theinternship experience. More broadly speaking, Bandura [2] has argued that an individual’s levelof motivation and actions are more closely based to what they believe than on what is objectivelythe case [5]. Thus, cognitive factors such as self-efficacy share a connection with identitydevelopment.Definitions of
designed to help preparestudents for university life. In order to facilitate the program and help students get involved inthe campus community, they are placed on a “pack” with five of their peers. Each pack is guidedby a “pack leader” who is a successful engineering student that acts as a mentor to the newstudents throughout their freshmen year. Having a peer mentor can aid in new students adjustingto campus life [9], [17]. Additionally, studies have shown that positive role models and socialsupport can impact the level of confidence and self-efficacy that students have in their ability tocomplete an engineering degree [18].MethodsParticipantsBoot camp participants were recruited through the Provost’s office and at various College ofEngineering
area of drug discovery, therapeutics and nanomaterials.Dr. Armando Dominguez SolisDr. Sandie Han, New York City College of Technology Sandie Han is a Professor of Mathematics at New York City College of Technology. She has extensive experience in program design and administration, including administrative responsibilities as the chair of the math department, Computer Science program coordinator, high school program coordinator, as well as PI on the U.S. Department of Education MSEIP grant and Co-PI on the NSF-S-STEM grants. She has several publications on the theory and practice of Self-Regulated Learning, Mathematics Self-Efficacy, PLTL. Her work in Self-Regulated Learning and self-efficacy has won the 2013 CUNY
microcontroller board.More details on the Introduction to Engineering curriculum and the results of its implementationare described by Langhoff, et al. [4]. The curriculum has been successful in enhancing students’identity as engineers as indicated by pre- and post-program surveys. The course also showssuccess in increasing students’ self-efficacy and skills needed to succeed in college, as well asprovide insight into the university transfer process and academic pathway post-transfer. As aresult, students expressed increased self-efficacy in succeeding in their courses and increasedability to cope with and overcome doing poorly on a math exam.Engineering GraphicsThe online Engineering Graphics course developed through CALSTEP is a four-unit course
United States National Science Foundation (NSF) because the problems of the future weredeemed to be complex and required interdisciplinary study. Others think STEM was coined byNASA as SEM with the “T” added because it sounds better.Because this complexity is pervasive at every stage, most STEM research is focused on oneaffective construct (such as motivation, attitude, interest, self-efficacy) in a single STEM area[12]-[15]. And consequently, few if any instruments exist to capture STEM as multi-constructsand none in multiple STEM areas [16]. Currently few existing instruments fully capture thebreadth and complexity of the STEM disciplines. For example, in 2012, Minner, Ericson, Wuand Martinez [17] reported half of the cognitive assessment
community and occupational college personnel and students. For ourresearch forty-one interviews were conducted with approximately ten at each community collegesite during the first semester of our research. These data, along with a careful review ofdocuments and websites available from each community college and applicable higher educationliterature as a comparison informed the refinement of the CPPI which was developed, and testedin our previously described STEM community college study.5The Refined College Pedagogical Practice Inventory (CPPI-R): Refinement, testing, and use ofthe CPPI has been informed by measurement research of educational psychologicalresearchers.33 Specifically, the inventory was initially designed with the intent of enabling
leadership role Extent to which leadership role contributed to skills in speaking, critical thinking, problem- solving, interacting with diverse groups, and becoming a leaderThe HERI dataset is being used to address Research Question 2, and analysis on this dataset iscurrently at a preliminary stage. Using leadership self-efficacy and social self-concept as proxiesfor leadership identity, the longitudinal dataset will be analyzed using multi-level regressiontechniques to isolate the specific effect of engineering identity, and activities intended to enhanceengineering identity, on leadership identity. Engineering identity will be derived from exploratoryand confirmatory factor analyses on three specific items measured on both TFS and
interpersonalcommunication and conflict resolution strategies that encourage peripheral participation acrosssectors and help formulate the T-shaped individual [8,9]. Teams may be self-selected and self-managed, enhancing motivation and instilling a sense ownership over the project, whichultimately contributes to self- efficacy as an outcome [10,11,12].However, professionalization in today’s global market has taken on new meaning in an industrymore focused on dynamic change, innovation and entrepreneurship. The National Academy ofEngineering predicted the joint roles of globalization and technological diversity in shaping theengineer of 2020, themes that are also reflected in the 2018-2019 ABET student outcomes[13,14]. There is greater emphasis placed on creative
toperform online collaborative learning, in which students were engaged in deep discussion withtheir peers and each student was provided with a specific task through e-mail with expectationfor improving their students’ technical and conceptual knowledge [7]. Bohorquez and Toft-Nielsen designed a problem-oriented medical electronics laboratory, where collaborativelearning was adopted with the intentions of improving the expertise, self-efficacy andcraftsmanship skills of biomedical engineering students. Their implementation yieldedsatisfactory results and demonstrated the effectiveness of their collaborative learning strategies[8]. Dong and Guo incorporated Collaborative Project-Based Learning (CPBL) into theirComputer Networking course for
, March 10, 2018.10. A. Hofstein, and V. N. Lunetta, “The laboratory in science education: Foundations for the twenty-first century,” Science Education, vol. 88, no. 1, pp. 28-54, 2004.11. O. Odubunmi, and T. A. Balogun, “The effect of laboratory and lecture teaching methods on cognitive achievement in integrated science,” Journal of Research in Science Teaching, vol. 28, no. 3, pp. 213-224, 1991.12. R. Gurvitch, and M. W. Metzler, “The effects of laboratory-based and field-based practicum experience on pre-service teachers' self-efficacy,” Teaching and Teacher Education, vol. 25, no. 3, pp. 437-443, 2009.13. R. Felder, D. R. Woods, J. E. Stice, and A. Rugarcia, “The Future Of Engineering Education II. Teaching Methods That Work
education over the past several years.Active learning methods have proven to be an effective way to increase engineering self-efficacy (Carini RM,2006), academic performance(Freeman,2014), feelings of responsibility to complete futuretasks(Daniel,2016), and recently retention in science, technology, engineering and math (STEM)(Elgin,2016).Even authors in the cognitive science discipline suggest that classrooms with an active learning approachcan increase student motivation, knowledge retention, and content transferability (Michael, 2006; Norman andSchmidt, 1992; Vosniadou, Loannides, Dimitrakopoulous, & Papademetriou, 2001). The core elements of activelearning are student‟s activity and engagement in the learning
. [39] F. Pajares, & M. J. Johnson, “Self‐efficacy beliefs and the[27] J. S. Nevid, & N. McClelland, “Measurement of implicit writing performance of entering high school and explicit attitudes toward Barack Obama,” Psychology students,” Psychology in the Schools, vol. 33, no. 2, pp. & Marketing, vol. 27, no. 10, pp. 989-1000, 2010. 163-175, 1996.[28] A. J. Pantos, & A. W. Perkins, “Measuring implicit and [40]D. B. Kaufman, R. M. Felder, & H. Fuller, (2000). explicit attitudes toward foreign accented Accounting for individual effort in cooperative learning speech,” Journal of Language and Social teams. Journal of
to use acoustic sensors for non-contact, non-destructive structural health monitoring.After learning basic theory through a series of training workshops, the students performedexperimental testing with various configurations of an array of microphone sensors on a single-degree-of-freedom structure excited by an earthquake simulator. With the acquired data, severalpost-processing algorithms are proposed to extract the useful information and eliminateunwanted signals.In addition to the surveys, the participants were invited to participate in a 30-minute conversationabout their summer internship experience to examine the internships’ impact on interviewees interms of: i) engineering self-efficacy and commitment to engineering as a career; ii
and team performance. Appraisers’perceptions of potential aversive consequences to them as a result of giving negative as well aspositive feedback (Napier & Latham, 1986) can also impact the ratings given. Whether or notappraisers are in a low self-efficacy or high self-efficacy environment may impact the behaviourof the appraiser as they determine if the appraisal is going to make a difference to their courseoutcome. “Students are, however, willing to penalize peers who do not contribute but often failto differentiate between higher levels of effort.” (Pond, Rehan, &Wade, 1995) At times,instructors require deeper insight into the team environment in order to mentor the team and tounderstand the peer ratings.CATME tools provide
, not unlike distillation. Byunderstanding these specific experiences, we can make chemical engineering more relatable tothe students who are least likely to persist.This approach has been shown to be effective in engineering education. For instance, Mejiaidentified Latinx high school students’ funds of knowledge tied to the engineering design process[2], [41], [42], [43]. He found that students were able to build on their everyday experiences toaddress community problems. He also showed that students used professional skills, such ascommunication, collaboration and project management to reach design solutions. This approachalso enhanced students’ self-efficacy [44]. Our own work has built on this approach, finding thatdiverse undergraduate
, inclusion and self-efficacy from thelearning sciences in a suite of program components designed to advance students into STEMcareers. Unlike many research experience programs, Akamai accepts students from diversebackgrounds with a wide range of GPAs and early in their college years, when they are most atrisk of leaving STEM - 56% are lower division students upon acceptance. Akamai also providessupport for mentors to instill inclusive, collaborative mentoring practices and to ensure mentorscan effectively prepare interns for integration into the 21st century workplace. To date, Akamaihas paired over 350 STEM undergraduates representing the full diversity of the islands includingmany groups traditionally underrepresented in the STEM workforce such as
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
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
. Introduction Engineering education has been working for decades on methods to increase students’ motivation andengagement in engineering programs. Engagement is seen as an important part of learning in engineering [1-3]as students need to feel a sense of belonging within their academic program in order to effectively develop theiridentities as engineers. Sense of belonging has been directly linked to successful academic outcomes includingpersistence, self-efficacy, and perceptions of technical competence [4-6]. In order to feel like they belong,engineering students need to have different systems in place to support and complement their formal educationin engineering classrooms. According to Allendoerfer, Wilson [6] those systems come together
enhancing services with motivational affordancesto invoke gameplay experiences and further behavioral outcomes. The main motivation is toimprove the involvement of individuals and increase their interest, engagement, andefficiency 21. People who enjoy game-based learning only exhibit an increase in satisfaction,enjoyment, and relevance to the job 22. According to the study conducted by Michele D.Dickey23 (2007), there are elements within the design of multiple online role-playing gameswhich foster intrinsic motivation while requiring players to think, plan, and act critically andstrategically. Sung and Hwang24 (2013) studied learning attitudes, motivation, and self-efficacy and found improvement in all three areas, as well as student confidence, by
women and URM students in engineering.Reference [4] lists the most common retention techniques and institutions that implemented them. Theauthors divide the strategies into three groups: student-focused, faculty-focused, and institutional anddepartment-focused strategies and provide many examples from literature and submissions frominstitutions.Blaisdell and Cosgrove explain how self-efficacy (one’s belief about how well they can perform giventask or behavior) affects women choosing engineering as their field of study and persisting in it [5]. Theyadvocate for interventions designed using the theory of self-efficacy and give an example of such aprogram. Sullivan and Davis [8] found that commitment to engineering and confidence in engineeringare
cornerstone and non-cornerstone (original 2 course sequence) sections on many topics covering textbooks, pedagogy,concepts taught, self-efficacy in engineering, and more; 2) student feedback teams used in manysections of the course; 3) University-administered student evaluations given at the end of eachsemester; and 4) the first-year teaching team, which met frequently and worked each summer toimprove course design and supporting materials.This paper outlines the differences between the Full versus Split Cornerstone approaches andlooks at the evolution of a first year culture and other positive effects created in instituting thenew Cornerstone courses. The analysis includes how both the students and instructors areaffected by each approach and the
for completing the higher education. Since we have been practicing this methodfor the last 4 years, we need to study the long-term impact of grouping on the students fromthe early batches. It would be also beneficial to qualitatively analyse students’ and teachers’perspectives including the impact of the method on self-efficacy and engagement of the “abilitygrouped” students. We don’t deny that the “ability grouping” is a controversial method. Further, we don’thave a strong enough evidence of its success at our college. However, the steady improvementin the academic performance over the last four years prompted us to share our findings andopen a discussion on this atypical practice.Acknowledgments We thank the chair of
implemented once at two different schools.In this study, we focused on how student participation in the STEM+C projects helpedstudents develop CT and the impact of students’ STEM+C experience on their attitudestoward STEM learning. A student attitude toward STEM survey [20] was given at thebeginning and end of the eight-week program. The development of the STEM survey waspartially supported by the National Science Foundation and was well validated [21]. TheSTEM survey has three subject categories, Math, Science, and Engineering andTechnology (engineering and technology were grouped together into one category) andwas intended to examine students’ attitudes as well as self-efficacy related to STEM.Students were videotaped working in small groups for
, innovation and member college engagement. Prior to joining UNCF, Dr. Reid was Associate Dean of Undergraduate Education and Director of the Office of Minority Education at the Massachusetts Institute of Technology (MIT). Dr. Reid earned both his Bachelor’s and Master’s of Science degrees in Materials Science and Engineering from MIT, and his Doctorate of Education from the Harvard Graduate School of Education. His research interests include exploring the relationships between racial identity and self-efficacy, and their influence on the academic achievement of African American males in higher education.Dr. Trina L. Fletcher, University of Arkansas at Pine Bluff Dr. Fletcher is currently an Assistant Professor at the
. Christopher, O. Walker, B. A. Greene, and R. A. Mansell, “Identification with Academics, Intrinsic/Extrinsic Motivation, and Self-Efficacy as Predictors of Cognitive Engagement,” Learn. Individ. Differ., vol. 16, 2005.[12] J. A. Centra, “Effectiveness of Student Feedback in Modifying College Instruction.,” J. Educ. Psychol., vol. 65, no. 3, pp. 395–401, 1973.[13] J. Leckey and N. Neill, “Quantifying Quality: The Importance of Student Feedback,” Qual. High. Educ., vol. 7, no. 1, pp. 19–32, Apr. 2001.[14] S. A. Jacob and S. P. Furgerson, “The Qualitative Report Writing Interview Protocols and Conducting Interviews: Tips For Students New to the Field of Qualitative Research,” Qual. Rep., vol. 17, no. 42, pp. 1
measures were used in several large-scale quantitative studies, andincluded three constructs: performance/competence belief (related to self-efficacy); interest inthe subject; and feelings of recognition (i.e., feeling that others see them as the type of personthat can do the work) [42]. Together, these three constructs are reliable in describing students’self-beliefs, which comprise a students’ identity, and “are predictively valuable forunderstanding career choices” [42]. The theoretical framework for the instrument stemmed fromsocial identity theory and symbolic interactionism, and Godwin focused on the internal dynamicsand roles that impact behavior. Godwin concluded that the results provide strong validityevidence for the developed instrument