facilitate student learning and involvement. Rather than actingas the primary source of information, teachers provide access to information, so to foster self-efficacy and a sense of fascination as students strive to develop their own knowledge and skill-sets related to club topics. Moreover, teachers assist in determining a curriculum based onstudent interest, so to foster intrinsic motivation and stimulate the passion to learn. Adopting therole of the student, teachers gain new knowledge alongside their students, actively participating Page 24.1057.9in activities and lessons while encouraging students to put forth their own best efforts.Community
Inventory Assessment Instruments for Electromagnetic Education,” in Proc., IEEE Antennas and Propagation Society Int. Symp., San Antonio, Texas, 2002.13. Hake, R., “Interactive-engagement versus traditional methods: A six-thousand-student survey of mechanics test data for introductory physics courses,” Amer. J. of Phys., Vol. 66, No. 64, 1998.14. Camtasia Studio 8.0, TechSmith, available at http://www.techsmith.com/camtasia.html, accessed January 3, 2014.15. Stickel, M., Liu, Q., and Hari, S., “The Effect of the Inverted Classroom Teaching Approach on Student/Faculty Interaction and Students’ Self-Efficacy,”, Proceedings 2014 ASEE Annual Conference & Exposition, Indianapolis, IN, June 2014
Framework for Pedagogical Agent as Learning Companions”, Educational Technology Research and Development, Vol. 54, No. 6., December 2006, pp. 569-596.39. Dede, C., “Transforming Education for the 21st Century: New Pedagogies that Help All Students Attain Sophisticated Learning Outcomes”, Commissioned by the NCSU Friday Institute, 2007, http://www.tdhah.com/site_files/Teacher_Resources/MUVE/MUVE%20Documents/Dede_21stC- skills_semi-final.pdf40. Gardenfors, P. and Johansson, Cognition, Education, and Communication Technology, Routledge, 2005.41. Marra, R. and Bogue, B., “Women Engineering Students Self Efficacy – A Longitudinal Multi- Institution Study”, http://www.x-cd.com/wepan06/pdfs/18.pdf42. Akl, R., Keathly, D., and Garlick
-Pohl, “Self-efficacy and subjective task values in relation to choice, effort, persistence, and continuation in engineering: an Expectancy-value theory perspective,” European Journal of Engineering Education, vol. 45, no. 1, pp. 151–163, Jan. 2020, doi: 10.1080/03043797.2019.1659231. [6] J. P. Monat, T. F. Gannon, and M. Amissah, “The Case for Systems Thinking in Undergraduate Engineering Education,” International Journal of Engineering Pedagogy (iJEP), vol. 12, no. 3, pp. 50–88, May 2022, doi: 10.3991/ijep.v12i3.25035. [7] C. L. Dym, A. M. Agogino, O. Eris, D. D. Frey, and L. J. Leifer, “Engineering Design Thinking, Teaching, and Learning,” Journal of Engineering Education, vol. 94, no. 1, pp. 103–120, Jan
software simulators. Following the COVID-19 outbreak, the problem of incorporating online labs in theircurricula is faced by many engineering programs. Therefore, it is imperative to design such labsin the format that facilitates students’ success and self-efficacy. Students should have ampleability to interact with their peers and instructors, while being engaged in experiential learningwith sufficient hands-on learning experiences leading to a deeper understanding of engineeringconcepts. Well-designed online labs can also refresh students’ enthusiasm for engineering, aswell as increase the retention rate for engineering students [11]. The goal of the reported project was to develop high-impact online lab teaching practicesand to
graduate school, and I Am First program for first generation students. Inaddition, the BE-TEC program is extending or adapting successful evidence-based practicesfrom its Track 1 program. The planned support services and programs have been selected toincrease academic learning, completion, and career or graduate school placement, as well as toassist in soft-skills development which is so important for graduates such as communication,teamwork, self-efficacy, leadership, and knowledge integration.NSF BE-TEC Program AssessmentTo assess the outcome of our NSF BE-TEC program, a study has been started by the institution’sBusiness Intelligence and Research Services to compare the NSF BE-TEC students to twocontrol groups: UVU students
appointment in Engineering Education. His research interests include engineering identity, self-efficacy, and matriculation of Latine/x/a/o students to graduate school. He works with survey methods and overlaps with machine learning using quantitative methods and sequential mixed methods approaches.Dr. Janice Mej´ıa, Northwestern University Dr. Mejia is an Associate Professor of Instruction in the Department of Industrial Engineering and Management Sciences. She also teaches in the Design Thinking and Communication (DTC), Masters in Engineering Management (MEM), and College Prep programs. Her research interests focus on mixed methods research in engineering education, curriculum assessment and development, and engineering
teamwork throughout the course. Wefocus on the concept that leadership starts with self-knowledge (Sosik, 1999; Atwater, 1992;Colcleugh, 2013). A reflective self-evaluative process with respect to social intelligence iscorrelated to the development of leadership skills (Condon, 2011). The team and leadershiplearning activities begin with learning about self and are extended to how to inspire and leadothers. Reflection based on observing the impact of team and leadership decisions isincluded. Self-efficacy and accountability are foundational for leadership, professional, andlife long learning development. Assessment of individual skills, conflict managementstyles, and personality feed self-knowledge and reflection on how one's own actions
AC 2011-2394: IMPLEMENTATION OF DIFFERENTIATED ACTIVE-CONSTRUCTIVEINTERACTIVE ACTIVITIES IN AN ENGINEERING CLASSROOMMuhsin Menekse, Arizona State University Muhsin Menekse is pursuing a doctoral degree (PhD) in the Science Education program at Arizona State University concurrently with a MA degree in Measurement, Statistics and Methodological Studies. He had research experiences in the areas of conceptual change of nave ideas about science, argumentation in computer supported learning environments, and video game design to support students’ understanding of Newtonian mechanics. Muhsin is currently working under the supervision of Dr. Michelene Chi to develop and implement a classroom-based methodology with
concise) [42],they recommended another scale that consisted of 36 items in four constructs - critical self-evaluation, learning self-efficacy, self-determination, and effective organization for learning[43]. The critics asserted that the recommended scale was more concise and highlightedtheoretical dimensions required for assessing SDL skills in medical students. The inconsistenciesof Guglielmino’s and other scales, as well as the cost implication of using some of them, servedas discouraging factors for their adoption in the current study.As illustrated, validity studies on SDL scales have often led to the creation of new scalesconsidered more consistent than the previous one. Other examples of SDL scales that emergedfrom the validity studies of
correlated with a higher likelihood of remaining in a STEM program. Riconscentediscusses how students with a robust STEM identity tend to have a clearer sense of purpose,motivation, and self-efficacy within their chosen field, making them more likely to persist(2013). Additionally, studies emphasize the importance of fostering a positive STEM identity,especially among underrepresented minority students, as it can counteract stereotypes and booststudents' resilience in the face of challenges (Cheryan et al. 2017).Belongingness is another critical aspect. Research finds that students who feel like they belong intheir STEM community are more likely to remain engaged and persist in their programs (Good etal. 2012). Similarly, Walton and Cohen (2007
view from the perspectives of students’ self-efficacy and theirmindset. ● low self-esteem For example, “They [troublemaking students] have usually a low self-respect for themselves or low self-esteem. So, they don't find the value and how valuable they are.” ● low trust to anyone For example, “A student to ..., cannot ..., they can't let their guard down. They always have to have their guard up. They always think someone after them. They're always wanting to be on the defense. They automatically think they are always doing the wrong thing when they don't realize that the right things that they do. They can't self-evaluate themselves. They struggle with that.” “You know, they're not open enough to
the development and achievement of more women to IT positions.Conceptual FrameworkMany new theories have been developed during the last two decades, which incorporatevariables that have been shown to influence women’s career development (Minor, 199234). Fivecareer development theories/models were used as the conceptual framework for this study.These five conceptual theories/models that are of specific relevance to women include: Hackettand Betz’s (1981)21 Self-efficacy Approach; Farmer’s (1985)11 Model of Career and Page 10.1264.3Achievement Motivation; Astin’s (1984)2 Sociopsychology Model; Gottfredson’s (1981)17 “Proceedings of the
throughout the literature that includeddropout prevention, academic motivation, self-determination, achievement, self-efficacy, andintrinsic motivation. They explain the different definitions in the contexts of the associatedbehavioral, emotional, and cognitive perspectives taken by different research disciplines. Theyemphasized that as any consideration of the impact and policy making implications wascontemplated, it was critical to understand that the definition of engagement was foundational tothe question being asked.12 Engagement as a construct has manifested itself in many forms. Within the theoreticalframework of Astin’s4 foundational work, it was established as “the amount of physical andpsychological time and energy the student
Writing Assignment in a Third-Year Toxicology Course.Journal of Veterinary Medical Education, 44(2), 280-289.Kedrowicz, A. A., Hammond, S., & Dorman, D. (2018). Student engagement with rubrics topromote enhanced written communication of health information. Medical Science Educator,28(4), 591-596.Kedrowicz, A. A., Hammond, S., & Hardy, E. M. (2019). The impact of team training onperceptions of team functioning during third year veterinary surgery. Education in the HealthProfessions, 2(1), 34-39.Okoro, E., Washington, M.C., Thomas, O. (2017). The impact of interpersonal communicationskills on organizational effectiveness and social self-efficacy: A synthesis. International Journalof Language and Linguistics 4(3), 28-32. Retrieved fromhttp
–something also mentioned frequently in the survey responses– which is arguably the most powerful reason to avoid something. 16 Preliminary Takeaways Pull factors • Women tend to pursue engineering when they experience positive feelings about their abilities (self-efficacy) and have positive role-models and programs that foster their individual growth Push factors • Women tend to struggle with their choice to pursue engineering when they feel like family members are not supportive or that engineering may hinder their future family goals
mentoring has thepotential to create a more diverse and inclusive learning environment that can promote thesuccess of Hispanic engineering students.AcknowledgementsThis work was funded by the Institute for Inclusion, Diversity, Equity, and Access in theGrainger College of Engineering, University of Illinois (Grant #GIANT2021-01). We also thankour mentors Victor Cervantes and Ivan Favila for their feedback.References[1] F. Arbelo, K. Martin, and A. Frigerio. Hispanic Students and Online Learning: Factors of Success. In HETS Online Journal, 9(2), May 2019.[2] 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
, perceived learning, and academic performance," International Review of Research in Open and Distributed Learning, vol. 11, no. 2, pp. 73-84, 2010.[27] Y.-C. Kuo, A. E. Walker, K. E. Schroder, and B. R. Belland, "Interaction, Internet self- efficacy, and self-regulated learning as predictors of student satisfaction in online education courses," The internet and higher education, vol. 20, pp. 35-50, 2014.[28] Y.-C. Kuo, A. E. Walker, B. R. Belland, and K. E. Schroder, "A predictive study of student satisfaction in online education programs," International Review of Research in Open and Distributed Learning, vol. 14, no. 1, pp. 16-39, 2013.[29] M.-H. Cho and S. Tobias, "Should instructors require discussion in
; Jimenez, M. A., & Santiago, N. G., & Cardona-Martinez, N., & Suarez, O. M. (2021, July), Work in Progress: Building Career Goals and Boosting Self-efficacy in Engineering Students Paper presented at 2021 ASEE Virtual Annual Conference Content Access, Virtual Conference.[20] de Campos, D. B., de Resende, L. M. M., & Fagundes, A. B. (2020). The Importance of Soft Skills for the Engineering. Creative Education, 11, 1504-1520.[21] Karimi, H., & Pina, A. (2021). Strategically Addressing the Soft Skills Gap Among STEM Undergraduates. Journal of Research in STEM Education, 7(1), 21–46.[22] Tucker, T., & Vernooij
peers,faculty, staff, and campus life. With 55% of engineering students being first-generation, andeven fewer having family members with careers in STEM fields, students’ ability to visualizelife as an engineer or computer scientist becomes more challenging. Non-cognitive factors suchas low self-efficacy may also play a role in students’ sense of belonging in college and in STEMmajors. Especially with the low state-wide K-12 ranking and the high percentage of first-generation students, these factors correlate with a need to support stronger study skills and studyhabits, including bridging gaps in K-12 learning and skills. Some students also report that theyand their families can often underestimate the importance of academic workload demands
-Year Interest in Engineering via a Makerspace-Based Introduction to Engineering Course,” ASEE 127th Annual Conference & Exposition, Virtual, June 21-25, 2020.[20] Hawkins, NA, Robinson BS, & Lewis JE. “Employment of Active Learning Pedagogy Throughout a Makerspace-Based, First-Year Introduction to Engineering Course,” ASEE 127th Annual Conference & Exposition, Virtual, June 21-25, 2020.[21] Lewis JE, Robinson BS, & Hawkins, NA. “First-Year Engineering Student Perceptions in Programming Self-Efficacy and the Effectiveness of Associated Pedagogy Delivered via an Introductory, Two-Course Sequence in Engineering,” ASEE 127th Annual Conference & Exposition, Virtual, June 21-25, 2020.[22] Robinson, B
, 2001). Some of the factors includesattributions where students rated possible reasons for success or failure on the midterm exam to(a) attribution to ability, (b) attribution to task ease/difficulty, (c) attribution to luck, and (d)attribution to effort. They also looked at factors like self-efficacy, previous programmingexperience, gender, and more. The attributions for success/failure were predictive toperformance.This proposed intervention is framed by attribution theory. Attribution theory is aphenomenological approach to the study of behavior. It is approach that focuses on how peopleexplain the reasons for their own and others' behavior. The idea is that two students could take aCS exam and both receive Ds. Student A could be very upset
, no. 2, pp. 33–49, 2020.[10] M. M. Gaudier-Diaz, M. Sinisterra, and K. A. Muscatell, “Motivation, belongingness, and anxiety in neuroscience undergraduates: Emphasizing first-generation college students,” Journal of Undergraduate Neuroscience Education, vol. 17, no. 2, p. A145, 2019.[11] N. K. Segool, P. Nathaniel, A. D. Mata, and J. Gallant, “Cognitive behavioral model of test anxiety in a high-stakes context: An exploratory study,” School Mental Health, vol. 6, no. 1, pp. 50–61, 2014.[12] A. Krispenz, C. Gort, L. Schültke, and O. Dickhäuser, “How to Reduce Test Anxiety and Academic Procrastination Through Inquiry of Cognitive Appraisals: A Pilot Study Investigating the Role of Academic Self-Efficacy,” Frontiers in
discuss futureplans for analysis with a larger sample who also provided information about a variety of non-cognitiveand affective (NCA) factors in order to identify significant predictors of engineering student success. IntroductionGrades, and by extension grade point average (GPA), are among the most frequently used indicators ofstudent success in both research and practice. In education research, GPA is often used as a measure ofacademic performance, and has been studied in a variety of settings and alongside a variety of correlates,such as self-efficacy or motivation [1]. In U.S. colleges and universities, grades and GPA are used tomeasure performance in the classroom, determine eligibility for
school outcomes (Chen and Jang [16];33 Ryan and Deci [17]; Ryan and Grolnick [18]; Ryan, et al. [19]). Feelings of relatedness,34 measured in terms of "school climate" and instructor-student relationships, have been linked to35 outcomes including self-efficacy, engagement, interest in school, higher grades, and retention36 (Furrer and Skinner [20]; Inkelas and Weisman [21]; Inkelas, et al. [22]).37 Relatedness has often been discussed along with autonomy and competence as one of the38 psychological needs for intrinsic motivation [23, 24]. Skinner, et al. [25] argued that "relatedness39 tends to be overlooked as a self-perception in the academic domain." In the past, relatedness is40 normally considered in the context of team
to cement the notation and approach whilethey are working on problems familiar to them from Physics I).The good performance in Objectives F.1 and F.2 demonstrate that if you focus on thedevelopment of math skills, the students can get to mastery. We employ a full array ofmathematical tools (from algebra through calculus and differential equations) throughout thesemester. In the beginning, the students struggle with vector notation (both how to do it and whatit means physically) and they have little confidence in their calculus skills. Regular practicemoves them toward better self-efficacy. Students can generally do much more than we initiallyexpect, but they need the support and encouragement to get there. They are also in a period
, sense of community, perceived program benefit, science identity, and research self-efficacy. CBE—Life Sciences Education, 2016. 15(3): p. Ar48.[19] Murphy, T. J., Stafford, K. L., & McCreary, P. (1998). Subsequent course and degree paths of students in a Treisman-style workshop calculus program. Journal of Women and Minorities in Science and Engineering, 4, 381–396.[20] Shultz, E. L., Colton, G. M., & Colton, C. (2001). The Adventor Program: Advisement and Mentoring for Students of Color in Higher Education. The Journal of Humanistic Counseling, Education and Development, 40(2), 208–218. doi: 10.1002/j.2164- 490x.2001.tb00118.x[21] Ehrich, L. C., Hansford, B., & Tennent, L. (2004). Formal
prospects used inengineering education as they help young engineering students prepare for their future careers.Jiaqi Luo et al. Ref. 9 find out that the quality of transportation education is improvedtremendously when it incorporates the innovative CDIO (Conceive, Design, Implement,Operate) framework. Hence, the physical implementation of theoretical engineering conceptsthrough project-based learning is crucial to enhance students learning outcome in engineeringclasses as intervention implementation in engineering education in general and transportationengineering in particular improved students' cognitive skills, self-efficacy, teamwork, andcommunication skills 3. The importance of project experience is one of the main reasons whylabs often
quota.’ ‘Anybody else smell affirmative action?’ ‘Looks like they got their headcount.’ ‘Here comes the Quota Queen!’(Locke, 2017).These stereotypes and biases can materialize in a number of ways that shape team dynamics,student learning and experience, and team productivity. For example, Meadows et al. (2015)found that these assumptions that women and students of color are not up to the task shape whattasks they are assigned on teams, whether or not their ideas are heard or validated, whether or nottheir work is acknowledged, as well as their self-efficacy and feelings of belonging.Since the fall of 2016, the authors have been engaged in a research project investigating thepresence of bias and stereotyping on first year project teams at
-economicfactors and emotional health as described by the following authors.As written by Richardson et. al, psychological and emotional health correlate with how a studentperforms at the university level and whether they complete their program. Richardson found thatdemographic and psychosocial factors, high school grade point average, SAT, ACT and self-efficacy were all correlated with a student’s GPA in college4. Conley et. al also presents on howACT scores and high school GPA predicted academic achievement best when combined withsocioeconomic status, academic self-confidence and motivation5. For this study, thepsychological and social predictors which are qualitative will not be explored. The focus will betowards quantitative predictors.Geiser et. al