development, and student learning in integrated STEM environments. Dr. Alemdar is currently PI and co-PI on various NSF funded projects. Her expertise includes program evaluation, social network analysis and quantitative methods such as Hierarchical Linear Modeling, and Structure Equation Model- ing. She received her Ph.D. in Educational Policy, with a concentration in Research, Measurement, and Statistics, from Georgia State University.Dr. Michael Helms, Georgia Institute of Technology Dr. Michael Helms is a Research Scientist at the Georgia Institute of Technology. He received his Ph.D. in Computer Science from the Georgia Institute of Technology, where his research focused on improving design creativity.Dyanne Baptiste
Negative Affectivity and Their Relation to Anxiety and Depressive Disorders," Journal of abnormal psychology (1965), vol. 97, no. 3, pp. 346-353, 1988, doi: 10.1037/0021-843X.97.3.346.[13] R. W. Hass, J. Katz-Buonincontro, and R. Reiter-Palmon, "Disentangling Creative Mindsets From Creative Self-Efficacy and Creative Identity: Do People Hold Fixed and Growth Theories of Creativity?," Psychology of aesthetics, creativity, and the arts, vol. 10, no. 4, pp. 436-446, 2016.[14] H. F. Posada-Quintero, J. P. Florian, A. D. Orjuela-cañón, T. Aljama-corrales, S. Charleston-villalobos, and K. H. Chon, "Power Spectral Density Analysis of Electrodermal Activity for Sympathetic Function Assessment," (in English
highschool internships that engage students in authentic STEM environments [2], [3]. High schoolinternships are especially impactful for underrepresented minority (URM) female students inSTEM [1]. Prior research has shown that these internship opportunities can increase students’sense of self-efficacy in STEM fields, give students insight into career paths they might nototherwise be exposed to, and increase students’ interest in and pursuit of STEM-related majorsand careers.The home environment can also provide opportunity for students to increase and strengthenSTEM identity and the consideration of STEM careers. A model for STEM identity has beendeveloped as a framework building on disciplinary studies and includes the interplay of threeelements
-school outreachprogram in engineering design for middle school students (ages 11-14), and how instructorsviewed the successes, challenges, and tensions of their students’ laboratory experiences. A challenge associated with NGSS and ASEE implementation is the meaningful integrationof science and engineering knowledge and skills in precollege teaching and learning. Researchhas identified issues that science teachers encounter with integrated STEM instruction, includinglack of relevant content knowledge, lack of administrative support, and weak self-efficacy inengineering pedagogy [4,10,11]. Research in STEM integration education has suggested thatinnovative instructional models and curricular resources are needed to demonstrate how scienceand
ongoing research, implementing favorable employmentlaws, and ensuring women's voices are heard in decision-making [11]. According to Howe-Walsh et al. [17], women in the United Arab Emirates (UAE) prioritizework prestige in their career choices, regardless of whether they work for a public or privatecompany. This preference for work prestige may challenge women who value balancing theirprofessional and personal goals, as it could limit their career opportunities [17]. Researchers have identified several factors and challenges that affect women's entry,persistence, or departure from STEM fields. For instance, one study found that these factorsincluded the relationship between self-efficacy and competence, religious and personal
might be better retained if their social-cognitive disposition with respect to attritionwas supported by social-cognitive skills and strategies adapted from SOB and SRL models.However, of the many interventions currently being employed, most focus on improving thematch of the student to the institution and major, and specific core competencies. While this doesrecognize a cognitive element of student success (i.e., how a student thinks about their majorimpacts their decision to remain in it), it does not fully support SOB. Although they are aminority, there interventions at the college level for engineering majors that specifically addressSOB [18] or self-efficacy [14]. Self-efficacy is an important but small element of these socio-cognitive
Education, vol. 34, no. 4, 2012.[40] J. E. Dowd et al., “Student learning dispositions: Multidimensional profiles highlight important differences among undergraduate stem honors thesis writers,” CBE Life Sci Educ, vol. 18, no. 2, Jun. 2019, doi: 10.1187/cbe.18-07-0141.[41] M. Sumpter, D. Follman, and M. Hutchison, “2006-1812: WHAT AFFECTS STUDENT SELF-EFFICACY IN AN HONORS FIRST-YEAR ENGINEERING COURSE? What Affects Student Self-Efficacy in an Honors First-Year Engineering Course?,” in ASEE Annual Conference and Exposition, 2006.[42] S. Conrad, S. S. Canetto, D. Macphee, and S. Farro, “What attracts high-achieving, socioeconomically-disadvantaged students to the physical sciences and engineering?,” Coll Stud
pursue a professional computing industry careerpathway [11]. Factors hindering computing students from pursuing internships are studentinterest in internships include, lower self-efficacy, the challenging application process forinternships, and other priorities such as family, focusing on their GPA, etc. [12]. Less frequently,students may consider going into business for themselves as an entrepreneurship pathway. Jobmarket conditions and socioeconomic status are primary factors influencing the students’decision to pursue entrepreneurship [4], [13]. Finally, though perhaps not exhaustively, studentscan consider attending graduate school and conducting research through a master’s or Ph.D.degree. Students’ interest and actual enrollment in graduate
et al. observed to students involved in group work. Lin andYou [14] developed the Predicting Teamwork Performance system to identify functional rolesautomatically. In their work, students agreed (60%) that the strengths and role assignment systemhelped them cooperate with team members effectively and distribute the workload appropriately.Deemer et al. [12] studied how an energy science intervention caused an increase in leadershipand teamwork, increasing the self-efficacy of students. Martin et al. [16] showed the importanceof understanding justice through the teaching materials that they developed. They studied theimpact of teaching students how to work effectively in teams for the problem-based learningintensive BS Biomedical Engineering
programs, conceptual difficulties with core courses, a lack of self-efficacy or self-confidence, inadequate high school preparation, insufficient interest in or commitment to thefield of engineering or a change in career goals, and racism and/or sexism” [2]. Retentionprograms that directly address these attritional factors may be more successful.Common interventions have included faculty development, support programs,remedial/developmental course work, learning communities, and intervention programs tailoredto individual students [3]. Of a survey of twenty-five studies that related to improving studentretention, many potential actions with evidence of success were identified—among whichlearning communities, support groups or networks, and student
Companion to Science and Engineering Indicators 2014. Alexandria, VA: National Science Board.20. Association of College Research Libraries (2007). The First-Year Experience and Academic Libraries: A Select, Annotated Bibliography.21. Pascarella, E. T., & Terenzini, P. T. (2005). How college affects students (Vol. 2): A third decade of research, Jossey-Bates San Francisco.22. Schreiner, L. A., Louis, M. C. & Nelson, D. D. (2018) Thriving in Transitions: A Research-Based Approach to College Student Success. 2nd Ed. Stylus, Sterling ,VA 27-4623. Eileen McBride, E., Vashlishan Murray, A. & Duggan, M.. (2021). Academic Self-Efficacy, Student Performance, and Well-Being in a First-Year Seminar. Journal of The First-Year
, such as increased retention [7], predictions oflower time-to-graduation rates [8], improved math skills or readiness [9], and general collegereadiness [5].Based on the unique needs at Tennessee Tech University, the RAMP program was developedwith several goals. The highest priority was advancing math knowledge; it was important as well © American Society for Engineering Education, 2023to increase students’ self-efficacy in math, as studies have shown that when students’ self-effi-cacy increases, their performance increases [10]. Moreover, the program was developed to pro-vide incoming freshmen with a way to engage, to get involved, and to gain a sense of belonging,as evidence suggests a strong correlation between these
efforts these centers ofhigher education had made to specifically support engineering students in their math courses. Aresource as specific as an engineering math resource center was not found in any otheruniversity, although other resources, including broad curriculum changes (such as thoseimplemented at Wright State University [2]), university-wide math tutoring centers, and summerprograms were explored. Therefore, rather than following a previously implemented model for amath resource center, the creation of the EMRC at USU focused on underlying conceptuallearning principles. These principles included the importance of self-efficacy, storytelling as amethod for student engagement, and presenting math principles in a suitable context.Based on
efforts, outcomes, and student responses received by introducing ML tofirst-year engineering students in ENES100.PilotDuring the spring 2023 semester, a machine learning curriculum was piloted to three sections,totaling 120 students in ENES100. The goal was to determine the most effective way toimplement ML in ENES100. The team decided that the integration of hands-on, interactivemachine learning projects would be the most beneficial approach. Huang used a project basedlearning (PBL) paradigm when designing a machine learning module for first-year students atLoyola Marymount University because PBL has been shown to positively impact studentengagement, motivation, and self-efficacy [2]. Since ENES100 already follows a project basedapproach
, 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
partnerships. In C. C. Johnson, M. J. Mohr-Schroeder, T. J. Moore, and L. D. English, Handbook of Research on STEM Education. Routledge, 2020.(pp. 152- 165). New York, NY: Routledge. [2] L. Fogg-Rogers and T. Moss, “Validating a scale to measure engineers’ perceived self-efficacy for engineering education outreach,” PLOS ONE, vol. 14, no. 10, p. e0223728, Oct. 2019, doi: 10.1371/journal.pone.0223728. [3] International Technology and Engineering Educators Association (ITEEA), “Standards for technological and engineering literacy: The role of technology and engineering in STEM education,” 2020. [Online]. Available: http://www.iteea.org/STEL [4] E. Council, “Optimizing stem industry-school partnerships: inspiring
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
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
-disclosure, whilegratitude-focused writing led to more life satisfaction, with neither form of writing, however,having a significant impact on depressive symptoms (Booker & Dunsmore, 2017). Writing aboutlife goals, meanwhile, was associated with a significant increase in subjective well-being and along-term positive impact on physical health (King, 2001). In other story-driven learning interventions, meanwhile, ambivalence toward change,rumination, and distress significantly decreased throughout an online writing program (Batista etal., 2022). Similarly, story-driven learning in Indonesia led to increases in psychological capital(i.e., hope, self-efficacy, resilience, optimism) and ability to adjust to change (Prihatsanti, 2020
students’ engagement and Engineering courses. The section details confidence in hands-on lab/workshop activities; specific strategies and resources to make the hypervisibility of lab settings can cause laboratory experiences engaging and disengagement and low self-efficacy among a inclusive. certain population of students when using unfamiliar machines and tools - Avoid assumptions about
feedback. In Meeting 1 (Figure 1) co-instructors are invited toconsider their positionalities as they relate to each other [19]. How will the pairs address theinherent power differential between them? How will they approach differing opinions in theclassroom in real time? What are their preferences for giving and receiving feedback to eachother, and how can the mentor instill a sense of self-efficacy and advocacy in the mentee?Overall, we consider the redesigned program as a more intentional, more supportive, and highertouch experience for both mentors and mentees.OutcomesOwing to the continuous adjustments made in response to the Covid-19 pandemic and criseswithin our community, our program implementation proved to be a moving target, and we
self-efficacy towards using these strategies, how their students responded to theactivities, and the barriers they encountered when trying to implement active learning in theirclassrooms. The survey allowed an open space for instructors to describe the type of activity theyused in class that day and also asked “Does the activity you described above require students tointeract with each other?” The purpose of this distinction is to eventually better understand howstudents responses to active learning changes when they are asked to interact with their peers, asopposed to doing an activity that is non-interactive. For this paper, Study 1 will focus on whattypes of active learning is being used by instructors, as well as whether or not it is
. Different example methods can be seen in the faculty narratives. (2) Mentors should listen to the ideas and concerns of their mentees. This was uniformly important throughout the faculty narratives. All faculty mentioned methods to increase student interest in the project/field and support their self-efficacy as researchers. Further, the student survey, regardless of student gender, emphasized the importance of mentor “personal consideration.” (3) Mentors should provide career support, particularly for female mentees. While all undergraduate students should receive some level of career support, the female students surveyed indicated this as the most important role of the faculty research mentor
. 11[6] AIChE. "Spreadsheet related resources as part of the AIChE Academy." https://www.aiche.org/academy/search/spreadsheet (accessed July, 2020).[7] K. Stratvert. "Kevin Stratvert Master Technology YouTube channel." https://www.youtube.com/@KevinStratvert (accessed January, 2023).[8] L. Gharani. "Leila Gharani Advance Your Career YouTube Channel." https://www.youtube.com/@LeilaGharani (accessed January, 2023).[9] M. D. Miller, Minds Online: Teaching Effectively with Technology. Harvard University Press, 2014.[10] A. Singh, V. Bhadauria, A. Jain, and A. Gurung, "Role of gender, self-efficacy, anxiety and testing formats in learning spreadsheets," Computers in Human Behavior, vol. 29, no. 3
single goal. Engagement in unstructured-specific activities is characterized by high self-motivation and high self-efficacy. For theseactivities, sometimes people engage to learn a task, while in others, engagement is driven by afixed-mindset: their mind was set on independent task completion. For example, one studentreflected on how he approaches working on his car in high school in this manner, saying, “I'd belike, all right, I'm going to try and identify the problem. I'm going to try and look at a video, seehow to do it.” Here we see that the activity was focused, goal-oriented, and driven by one’s self.A noted difference between unstructured-specific and structured-specific, is in the type ofactivities; with unstructured activities, the
systematically controlling for student motivation, self-efficacy, interest in science, or other variables that might influence performance. Thus,examining the effectiveness of bridge programs solely based on student’s academic success,persistence or retention could be insufficient [9]. There exists a need to examine a broader arrayof student outcomes.Instead of focusing only on academic outcomes to evaluate the effectiveness of summer bridgeprograms, we propose to consider an examination based on the transformative nature of theprograms in order to provide a holistic view of the effectiveness of the programs. Indeed, thetransformative learning theory posits that thought-provoking experiential activities or scenarios(also referred to as “disorienting
are) but they are worth fewer points each andstudents can easily attain the points by completion of assignments and by exploring other opportunitiesfor learning (Solid Professor/LinkedIn Learning). This can be perceived as a gamification of theclassroom through use of a points system where students start at zero and “earn” points by completion ofassignments rather than “lose points” through larger stakes grading. These assessment strategies supportStudent Centered Learning which leads students to be more autonomous. Students tend to perform betterwhen they feel more in control of their learning. Student-centered learning also increases studentmotivation and self-efficacy[8].Mid-Semester EvaluationWhile end-of-semester evaluations allow