one’s capacity to organize and execute the courses of action required to produce givenattainments” (p. 3) [22]. Bandura identified four primary sources of self-efficacy: masteryexperiences, vicarious experience, verbal persuasion and physiological states [23]. Self-efficacybeliefs have been understood to be strong predictors of behavior [24].Self-efficacy beliefs are not inherent or global traits of an individual; rather, they are “active andlearned systems of belief held in context” (p. 754) [25]. Thus, an instructor may feel high levelsof teacher self-efficacy in particular teaching tasks or domains and lower levels of teacher self-efficacy in others. Scales used for measuring teacher self-efficacy ask teachers to rate their levelof
demographics were effect coded as dichotomous variables:gender (female = 1 vs. male = -1; other genders were present in very small numbers and wereeliminated from the analysis) and international status (U.S. citizen or permanent resident = -1 vs.international student = 1). Instructional modality was also effect coded as a dichotomous variable(remote = -1 vs. traditional = 1).Additional scales used in this study included those associated with task value, self-efficacy,participation, TA support, faculty support, and positive emotional engagement. Sample items,primary scales as well as the source of these scales are noted in Table 1.Table 1: Independent and Dependent Variables(𝛼 =Cronbach's Alpha measure of internal consistency) References Primary
, there are 1,148 active S-STEM grants at over 580 institutions of higher education inthe United States2.At the authors’ institution, three separate NSF S-STEM proposals have been funded since 2011.In this paper, the authors provide specific information on the approaches they used to write andimplement successful NSF S-STEM proposals. The paper also provides details on the impactthese programs are having at this institution, including strategies that have been successful inengaging students, enhancing student learning, and increasing self-efficacy and retention.BackgroundEast Carolina University (ECU) is a constituent institution of the North Carolina state systemthat is composed of sixteen institutions, consisting of every public educational
class projects. Cross-disciplinary experiences betweenengineering and education students have shown potential to help students developcommunication skills [3, 4]. In addition, students develop self-efficacy in their discipline throughparticipating in cross-disciplinary experiences [5]. Cross-disciplinary experiences also helpstudents learn to value expertise outside their area of study and appreciate the limitations andconstraints of information in other fields [6]. Course instructors can also benefit from sharingresponsibility for a course and learning about other disciplines [7].The unfamiliarity of cross-disciplinary activities can lead to frustrations despite their manybenefits. Students often struggle to connect topics from other
problem, they must be able to reflect about what their reasonings are inorder to monitor and assess what they do or do not understand, what information is missing, andwhether new information is consistent to their current understanding. Metacognition is a type ofinternal dialogue that must be practiced, much like many other skills. Another important theme, though not emphasized in How People Learn is engagement.Student cognitive engagement includes topics concerning their intrinsic and extrinsic motivation,identification with academics, and self-efficacy. Common sense says if students want to learn,feel they can learn, and feel that others believe they can learn, then they will be more successfulthan those who do not. A great article to be
… he has a Ph.D.! Or, ifthe TA is an international graduate student, they assume, All international students are good atscience. But if they see another undergraduate who can explain the work to them, they realize,Hey, if she can do the problem, so can I! Such a TA is a “peer model,” and peer models areeffective in promoting “self-efficacy,” the belief that, by performing in a certain manner, one canachieve certain goals.There is also an advantage to hiring the best student you can find who has taken the course fromyou. This is because that student understands the material as you have taught it, and thus isbetter able to answer student questions on your lectures and assignments. As a TA, (s)he is alsoqualified to grade papers; if the student’s
was previously with the University of Kentucky, Lexington, in a similar position from 1996 to 1999. Her research interests in engineering education focus on the role of belonging, self-efficacy, and other non-cognitive factors on success and persistence. She is also managing director of Coming Alongside, a non-profit environmental health services organization.Prof. Rebecca A. Bates, Minnesota State University, MankatoDr. Cheryl Allendoerfer, University of WashingtonProf. Diane Carlson Jones Ph.D, University of WashingtonDr. Tamara Floyd-Smith, Tuskegee University Tamara Floyd-Smith is a Professor of Chemical Engineering, 3M Scholar and Adjunct Professor of Ma- terials Science and Engineering at Tuskegee University.Dr
response to assigned tasks: minimumtime, optimum efficiency, peak effective experience, early assessment, open escape routes andproximity to reward.Chu et. al.9 introduce the concept of active procrastinators where students deliberately workunder pressure and produce similar output as non-procrastinators. The authors provide empiricalevidence suggesting active procrastinators do considerably better than passive procrastinators interms of time use, self-efficacy belief, extrinsic motivation, stress-coping strategies, have higherGPA's and lead less stressful lives than passive procrastinators.The literature has shed light on various concerns that affect procrastination and how we perceiveits negative impact on student learning. However, no metrics
: Gender differences and interactive effects of students’ motivation, goals, and self-efficacy on performance,” in Proceedings of the 2016 ACM Conference on International Computing Education Research, ser. ICER ’16. New York, NY, USA: Association for Computing Machinery, 2016, p. 211–220. [Online]. Available: https://doi.org/10.1145/2960310.2960329 [2] B. C. Wilson and S. Shrock, “Contributing to success in an introductory computer science course: A study of twelve factors,” SIGCSE Bull., vol. 33, no. 1, p. 184–188, Feb. 2001. [Online]. Available: https://doi.org/10.1145/366413.364581 [3] D. Zingaro, M. Craig, L. Porter, B. A. Becker, Y. Cao, P. Conrad, D. Cukierman, A. Hellas, D. Loksa, and N. Thota, “Achievement goals
activities is expected to result in better fulfillment of learningoutcomes through more inclusive learning and in better course evaluations.Bibliography1 Dee, K.C., Student Perceptions of High Course Workloads are Not Associated with Poor Student Evaluations of Instructor Performance, Journal of Engineering Education, vol.96, no.1, 2007, pp.69-78.2 Dee, K.C., Reducing Workload in Your Class Won’t “Buy” Your Better Teaching Evaluation Scores: Re- Refutation of a Persistent Myth, Proceedings of ASEE Annual Conference, June 20-23, 2004, Salt Lake City, UT.3 Ponton, M., Edmister, J.H., Ukeiley, L.S., Seiner,J.M., Understanding the Role of Self-Efficacy in Engineering Education, Journal of Engineering Education, vol.90, no.2
Sketchtivity application will focus on self-efficacy of engineering students intheir sketching capabilities in support of enhancing their ability to share their thoughts and ideasin an unstructured sketching environment. The PhET deployment is targeted to evaluate theimpact of providing visual interpretations of physics concepts. The results will be in the form ofstudent self-evaluations and instructor observations in regard to the impact of these tools onstudent learning.BackgroundTwo existing challenges of the engineering educational process targeted by ITS products are: Students do not receive timely feedback on voluminous and complex practice work. Student understanding of concepts is improved through timely viewing of a visual model
self-efficacy; when new facultysee other faculty go through workshops successfully, or hear stories about them doing so, theyare more likely to believe they can do the same. The longitudinal study this paper belongs to will Page 24.1366.11eventually develop a collection of faculty workshop experience reports that can be used for sucha purpose. In the meantime, simply asking experienced colleagues and faculty developmentprofessionals to describe their own workshop experiences may already help new faculty moreconcretely envision and situate a workshop within their personal development plans.Prepare specific strategies for engaging with other
paper.Conclusions and discussionIn this paper we reported on three studies that focused on examples of adding ClassTranscribeinto multiple engineering classes with multiple goals of improving digital accessibility,self-efficacy in the course (i.e., self confidence and self-beliefs in succeeding in their major) andeffectiveness (at all levels of student ability). Learning outcomes and examples of adoption werepresented under a diverse set of educational uses including use as a primary source of lecturecontent (CS, Spring 2019), secondary or supplemental review of recorded live lectures (ECE,CS,Fall 2019,Spring 2020) and pre-lab training for lab techniques and equipment use(Bioengineering, Spring 2020). Per-student learning data was used with gradebook data
Paper ID #16220Student Perceptions of Faculty Support: Do Class Size or Institution TypeMatter?Dr. Cheryl Allendoerfer, University of Washington Dr. Allendoerfer is a Research Scientist in the College of Engineering at the University of Washington.Dr. Denise Wilson, University of Washington Denise Wilson is a professor of electrical engineering at the University of Washington, Seattle. Her research interests in engineering education focus on the role of self-efficacy, belonging, and other non- cognitive aspects of the student experience on engagement, success, and persistence and on effective methods for teaching
Paper ID #13326Go Team! The Role of the Study Group in Academic SuccessDr. Denise Wilson, University of Washington Denise Wilson is a professor of electrical engineering at the University of Washington, Seattle. Her research interests in engineering education focus on the role of self-efficacy, belonging, and other non- cognitive aspects of the student experience on engagement, success, and persistence.Dr. Cheryl Allendoerfer, University of Washington Dr. Allendoerfer is a Research Scientist in the College of Engineering at the University of Washington.Prof. Rebecca A Bates, Minnesota State University, Mankato
Mayaguez and Director of the International Service Systems Engineering Lab. Alexandra holds a Masters and Ph.D. degrees in Industrial and Systems Engineering, both from Virginia Tech, and a BS in Production of Materials Engineering from the Federal University of Sao Carlos, in Sao Paulo, Brazil. Her research interests are systems thinking, systems dynamics, service operations, economic design issues, performance measurement using DEA, evaluating success factors in engineering and the cognitive processes that occur during their acquisition. Page 12.1159.1© American Society for Engineering Education, 2007
: “This course had the greatest impact on be mainly because of the instructor. I decided to come to graduate school, and to pursue a career in academia, right after taking this class. The professors teaching style was so engaging that it made me want to learn more about the topics covered in class. Even though I am not specializing in the specific area of that class (fluid mechanics and water resources), this class introduced me to the notion of wanting to learn more than what is covered in textbooks.”Eight participants indicated the course’s impact on their own self-efficacy. Olivia remembers herIntroduction to Electrical Engineering course because of its impact on her mindset goingforward: “This course was