during group work andcollaborative learning [26], [27], but the lack of negative results among both US and non-UScitizens is notable. An interesting question that these results do not address is whether cross-national interactions led to any overall declines in non-US citizens’ self-efficacy or self-confidence about their CS knowledge and skills (as opposed to comparisons with one’s partner).With the exception of driving role, the lack of effects of partners’ national origin among UScitizens is also noteworthy. Any linguistic or cultural challenges that US citizens encounteredmay been balanced out by the benefits of potentially different perspectives that non-US citizensbrought to these collaborations. It is also possible that the work of
learning andconcludes that even brief activities introduced into the lecture can increase learning. The entirecourse need not be project-based. Simply adding discussions can have a positive impact onstudents’ intrinsic motivation [19]. If we use Bonwell and Eison’s [20] definition of activelearning as “anything that involves students doing things and thinking about the things they aredoing,” the possibilities are vast. Nie and Lau [1] found adding small activities that encouragestudents to explore in-depth, analyze, discuss, write, apply, or question increased students’ deepprocessing strategies and increased self-efficacy. Felder and Silverman [21] also conclude that asmall number of techniques such as alternating lecture with pauses for
approaches is addressed in question 1,the emotional state of the students during teaming. Table 1 shows that students in the twocohorts experienced similar emotional states during teaming, with the exception of their self-efficacy: 50% more of the students in the student-teamed cohort felt happy that they had somecontrol of the process. This is the only statistically significant difference in the question 1responses, and indicates that the student-formed teaming process resulted in the students feelingmore agency, while not significantly increasing anxiety. Table 1: Team-Forming Survey Results for Question 1 (Emotional State During Teaming) Student-formed Faculty-formed Very stressed
Paper ID #31145Understanding a Makerspace as a Community of PracticeChieloka Mbaezue, Stanford University Chieloka Mbaezue is a senior in Mechanical Engineering at Stanford University conducting research to understand how learning happens in makerspaces. Through research, he desires to understand the mechanisms of learning in community in order to democratize the experience of self-efficacy experienced in makerspaces. He hopes to apply his gained understanding to the product development industry in African countries and in the United States, particularly in black communities.Eric Reynolds Brubaker, Stanford University
problemsolving approaches and methods often linked to design thinking in a series of paneldiscussions, workshops and assignments. Previous research has demonstrated that betterlearning outcomes of sustainability related challenges are reached when multi-methodlearning experiences are produced [20]. Additionally, problem-based design challenges andteaching have been connected to increase awareness of societal issues, entrepreneurialintentions and innovation self-efficacy amongst engineering students [11,20,51], highlightingthe benefits of generatively applying knowledge within courses. Overall, the students abilityto implement the measured sub-themes of sustainability, ethics and collaboration in seven outof the nine sub themes improved statistically
self-efficacy and problem solving. Instructional Science, 45(5), 583–602.[27.] Rau, M. A., Aleven, V., & Rummel, N. (2016). Supporting students in making sense of connections and in becoming perceptually fluent in making connections among multiple graphical representations. Journal of Educational Psychology.[28.] Satyanarayana, Ashwin. 2013.Software tools for teaching undergraduate data mining course. Smerican Society of Engineering Education Mid- Atlantic Fall Conference.[29.] Sfard, A. and Leron, U. (1996). Just give me a computer and I will move the earth: Programming as a catalyst of a cultural revolution in the mathematics classroom. International Journal of Computers for Mathematical Learning[30.] Sherin
, 2018.Park, J., Lang, D.H., Handley, M.H., & Erdman, A.M. (2019) Developing undergraduates’ self- efficacy for engineering leadership: relations among leadership attributes, teamwork skills, and creativity. Conference Paper and Presentation: American Educational Research Association Annual Conference, Toronto, Canada, 2019.Powell, K. S., & Yalcin, S. (2010). Managerial training effectiveness: A meta-analysis 1952– 2002. Personnel Review, 39, 227–241.Reyes, D.L., Dinh, J, Lacerenza, C.N., Marlow, S.L., Joseph, D.L., and Salas, E. (2019) The state of higher education leadership development program evaluation: A meta-analysis, critical review, and recommendations. The Leadership Quarterly Vol. 30(5
. Taking guidelines for good evaluation plans [19], the formative andsummative evaluation plan utilizes a comprehensive and widely used CIPP (Context, Input,Process, Product Evaluation) model [20]. Given the relatively small sample size, statisticalanalysis is expected to be largely descriptive, both aggregate and by subgroup, to report onproject implementation and progress toward performance measures. T-tests will be used todetermine significant differences in teachers’ self-efficacy survey responses from pre- to post-test. Qualitative data collected through interviews, product review, and observation, will beanalyzed throughout the project. The outcomes that are being evaluated are briefly outlined: Institution Outcomes: To strengthen a
is also regarded as acomplex repository of knowledge and skills for planning, implementing, monitoring, evaluating,and continually improving the learning process. Self-regulated learning has been studied over morethan two decades in general classroom settings and various assessment methods exist in theliterature. It is commonly agreed that self-regulation is a good predictor of student’s academicsuccess. For instance, relationships were examined in [1] among motivational orientation, self-regulated learning, and classroom academic performance, and their regression analyses revealedthat self-regulation, self-efficacy, and test anxiety emerged as the best predictors of performance. In recent years, studies on SRL have been extended to
three broad learning domains –affective (i.e., self-efficacy), thinking patterns (i.e., developing connections in the pursuit ofvalue creation), and content knowledge/skills [14]. Included in EML content knowledge/skillscan be design iteration and prototyping, which is the assessment focus of this paper and is anelement not seen in many of other first-year engineering design projects that harnesses EML.In the College of Engineering at Rowan University, we set out to foster EM in our first-yearengineering students by transforming a project that leverages Universal Design Principles as aframework for creating toys for children to include EM-related outcomes inspired by KEEN’sthree tenets: Curiosity, Connections, and Creating Value (the 3Cs). In
surveywas adapted from an energy literacy survey created by Dr. Jan DeWaters that has been used inmultiple contexts, including both K-12 and higher education [17], [18]. Her original survey wasdesigned to gauge energy literacy which encompasses students’ energy-related knowledge,attitudes, and intentions/behaviors [17]. The original survey examined four categories relating tostudents’ understanding of energy: cognitive, affective, self-efficacy, and behavior. The studentsscored lowest on the cognitive questions, but they were aware of many of the issues surroundingenergy and the need for conservation. We selected a total of 43 questions that focused on threeprimary areas: students’ interest in energy topics, students’ pre-existing factual knowledge
;Cohen, 2007). Mendoza-Denton et al. (2006) indicate that social support can mitigate thesechilling effects. Further, Mendoza-Denton et al. (2006) cited mentoring and cross-groupfriendships (so forming friendships with those in the other group – between genders or betweenethnicities/races, e.g.) as forms of social support that they found to have such a mitigatingeffect. Therefore, the proposed student tutoring and resource center is also planned to providesome social events to encourage student friendships, such as these important cross-groupfriendships in addition to the natural mentoring that can develop through tutoring.Belonging has been tied to self-efficacy and engagement, which also are tied to positive careeroutcomes (aka persistence in
in my ability to deliver the E4USA content to students. Discussion and Implications The goal of the E4USA project is to promote engineering ‘for all’, which includes bothstudents and educators. The literature shows that educators with greater content knowledgedemonstrate greater comfort with PD in engineering as a discipline. This is not surprisingbecause developing PD for educators with content knowledge allows the developers of that PDto focus on discipline-specific content. Involving educators with little to no experience inengineering introduces issues of lower self-efficacy and differing level of empathy to studentswho will be in their classrooms. Educators with less experience were more
variablespredefined. The second row shows Q5 Analyze-type questions for the treatment group and thecorresponding Q5 Create-type question for the control group.End-of-Lab SurveyAfter completing the auto-graded exercises, the students completed a survey, which was writtenusing validated questions from 24,25 . We asked the students self-efficacy questions and questionsabout their perception of the auto-graded exercises. Example Exercises Converted to Create-Type Q1: APPLY-type Q5: ANALYZE-type Table 3: Types of Auto-Graded ExercisesResultsLearning Efficiency (RQ1)Figure 2a shows differences in the number of attempts on each question between the two groupsthrough box-and-whisker plots with some outliers
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
. Pomeranz, and Douglas G. Schmucker. “The comprehensive assessment of team member effectiveness: Development of a behaviorally anchored rating scale for self-and peer evaluation.” Academy of Management Learning & Education 11, no. 4 pp. 609-630, 2012.[11] S.P. Schaffer et al., “Self-Efficacy for Cross-Disciplinary Learning in Project-Based Teams,” Journal of Engineering Education, 101(1), 82–94, 2012.[12] ABET, “Accreditation Changes,” abet.org, 2019. [Online] Available: https://www.abet.org/accreditation/accreditation-criteria/accreditation-changes/. [Accessed: June 27, 2019].[13] K. J. Cross, “The Experiences of African-American Males on Multiracial Student Teams in Engineering,” PhD. thesis
significantly increase their self-efficacy in STEM teaching, their own interest /attitudes toward science, and their understandingof inquiry-based STEM instruction. Similar findings were reported by other educators [5, 8, 9].School programs with hands-on and manufacturing focuses –as compared to academicmathematics or pure science– would be attractive to students since they can relate the training toeveryday examples, potential employment, and even advanced careers. Some middle /highschools, however, limit the growth of their technology-related programs, robotics clubs, orSkillsUSA programs due to budget constraints and/or lack of technical expertise of teachers. Itwould be necessary to reverse the trend by providing infrastructure and manufacturing
. (2010). Engineering leadership development programs: A look at what isneeded and what is being done. Journal of STEM Education: Innovations and Research, 11(3).[10] Cox, M. F., Cekic, O., & Adams, S. G. (2010). Developing leadership skills of undergraduateengineering students: Perspectives from engineering faculty. Journal of STEM Education:Innovations and Research, 11(3).[11] Knight, David B., and Brian J. Novoselich. "Curricular and co‐curricular influences onundergraduate engineering student leadership." Journal of Engineering Education 106.1 (2017):44–70.[12] Schell, et al. “Exploring the relationship between students’ engineering identity andleadership self-efficacy. 126th ASEE Annual Conference and Exposition. 2019. Tampa, FL.Paper
. 2016-June, 2016.[16] N. A. Mamaril, E. L. Usher, C. R. Li, D. R. Economy, and M. S. Kennedy, “Measuring Undergraduate Students’ Engineering Self-Efficacy: A Validation Study,” J. Eng. Educ., vol. 105, no. 2, pp. 366–395, 2016.[17] S. R. Porter and M. E. Whitcomb, “Non-response in student surveys: The role of demographics, engagement and personality,” Res. High. Educ., vol. 46, no. 2, pp. 127– 152, 2005.[18] C. A. Lundberg, L. A. Schreiner, K. Hovaguimian, and S. Slavin Miller, “First-Generation Status and Student Race / Ethnicity as Distinct Predictors of Student Involvement and Learning,” NASPA J., vol. 44, no. 1, p. 57, 2007.[19] M. C. Manley Lima, “Commuter Students’ Social Integration : The Relationship
,especially in the transfer program, to be formative indicators of their success. Many participantsindicated that earning good grades in the transfer program increased their confidence andengineering self-efficacy. Persistence in a chosen engineering disciplinary major and re-enrollment on a semester-by-semester basis were other ways that participants assessed theirsuccess. All of these success measures have been previously reported in the engineeringeducation literature (Table 2).Table 2. Participant Success Measures Previously Reported in Engineering Education LiteratureSuccess Measure Participants Used as Success Measure in Engineering (# participants) Education LiteratureEarn engineering Skyler
socialization [14]. He argued that learning occurs through interactions andcommunications with others, and further examined the impact of social environments in thelearning process. Consequently, he proposed that a learning environment needs to promote andmaximize collaboration, peer instruction, and social learning through discussion, collaboration,and feedback. Furthermore, Bandura proposed a social learning theory arguing that people canlearn new information and behaviors through socializing [26]. This theory guides educators torecognize how important it is to practice proper models of study skills and teamwork in theclassroom to construct self-efficacy of the learners.Social learning can be implemented in different ways, however, the main notion of
employment may not provide them with the relevant experience employers arelooking for. The Office of International Student & Scholar Services at Florida InternationalUniversity reported a total of 2,738 international students, out of which 57% are at theundergraduate level. The lack of self-efficacy was also exhibited in some of the responses, as itseems students are afraid of the course load. One student explains: “I think the program is verychallenging and intimidating; I wanted to apply but I do not know if I have the ability to do it.”Another respondent describes that being that it is a STEM degree, students need to be well-disciplined to manage this heavier course load and thus suggesting that it is not for everyone.Others expressed “being
fundamental topics and real-world problems 1,2. The separationin time and context across different courses could account for this lack of connection 2.Unfortunately, this lack of connection and understanding could impact students’ attrition rates.The graduation rate of engineering students has stayed consistently around 50% for more than 60years 3–8. Some of the many factors that contribute to these low rates include classroom andacademic climate (e.g., feeling of engagement and teaching styles), grades and conceptualunderstanding, self-efficacy and self-confidence, high school preparation, interest, and careergoals, and race and gender 9. Moreover, factors such as low grades and lack of conceptualunderstanding may drive students away 9. Hence, there
online: A review of the research,” Review of educational research, vol. 76(1), pp. 93-135, 2006. Page 11 of 128. R. T. S. Araújo, F. N. S. Medeiros, M. E. S. Araújo, K. P. Lima, N. M. S. Araújo and F. A. A. Rodrigues, “A Statistical Analysis of the Learning Effectiveness in Online Engineering Courses”, IEEE Latin America Transactions, vol. 15, no. 2, Feb. 2017.9. P. A. Willging, and S. D. Johnson. "Factors that influence students' decision to dropout of online courses." Journal of Asynchronous Learning Networks, vol. 13.3, pp. 115-127, 2009.10. M. Puzziferro, "Online technologies self-efficacy and self-regulated learning as predictors of final grade and satisfaction in college-level
available to our students. The non-competitive natureof the course has led to students regularly seeking and finding strong help from peers in additionto feedback in the large number of office hours available. Following each of the first two exams(first-chance on exam 1 and exam 2), an email is sent targeting those students with strongattendance and homework grades who performed below an 80% on the recent exam. The emailrecognizes that the student is working diligently, but likely not satisfied with the exam grade.The email goes on to invite the student to a study group with the instructor where students cangain corrective feedback and then participate in peer-led team learning activities [8] to enhancecomprehension and improve self-efficacy. After
Effects of Doctoral Teaching Development on Early Career STEM Scholars’ College-teaching Self-efficacy. http://www.wcer.wisc.edu/publications/workingPapers/papers.php (2015).6. Flaherty, C. Online conversation shines a spotlight on graduate programs that teach students how to teach. Inside Higher Ed https://www.insidehighered.com/news/2019/12/13/online- conversation-shines-spotlight-graduate-programs-teach-students-how-teach (2019).7. Kusano, S. M. et al. Preparing future engineering educators through round-table practicum course discussions. in ASEE Annual Conference and Exposition, Conference Proceedings (2014).8. Pinder-Grover, T. A. Active learning in engineering: Perspectives from graduate student instructors. in ASEE Annual
. Throughassembling a 3D printer, each teacher improved their hands-on skills and self-efficacy inproviding guidance to their own students. The teachers also participated in field trips to local companies including C&D Robotics,Metalforms (heat exchanger repair and maintenance), Optimus Steel (Steel mill), and AmericanValve & Hydrant, to name a few. On the final day of the program, the teachers presented their curriculum prototype for thefall semester to the group and received completion certificates. The program assessment was ledby assessment specialist, Julia Yoo, who is associate professor in the department of educationalleadership at LU. The first cohort shared their experience in a local teacher conference inFebruary 2018. Most of
. King Liu, “Examining the self-efficacy of communitycollege STEM majors: Factors related to four-year degree attainment,” Community CollegeJournal of Research and Practice, vol. 39, no. 12, pp. 1111–1124, Dec. 2015.[13] D. Shapiro, A. Dundar, F. Huie, P.K. Wakhungu, X. Yuan, A. Nathan, and Y. Hwang,“Tracking Transfer: Measures of Effectiveness in Helping Community College Students toComplete Bachelor’s Degrees”, National Student Clearinghouse Research Center, Herndon, VA,Sept. 2017.[14] J. A. Smith and M. Osborn, “Interpretive phenomenological analysis,” in QualitativePsychology: A Practical Guide to Research Methods. London: Sage, 2003, pp. 51-80.[15] S. Stemler, “An overview of content analysis,” Practical Assessment, Research &Evaluation
literature types were coveredequally in the workshop sessions (i.e., the majority of the time was spent on searching for journalarticles), exposure to previously unfamiliar literature types boosted the students’ comfort levelwith being able to find these sources on their own. The marked difference in students’ pre-session responses between Versions 1 and 2 for Monographs/Edited Collections versusBooks/Monographs indicates that simply understanding the definition of a literature type isimportant to these students’ self-efficacy. It was also a reminder for us that library jargon can beconfusing to our patrons. 100% 80% 60% 40% 20% 0
, 2013 [3]) sums up the status of K-12education in the US. Several programs have been launched aimed at remedying this situation.Project-based active learning opportunities have been empirically determined to be effective in studentengagement and learning (Prince 2004 [4]; Thomas, 2000 [5]). Project-based learning environmentscan be designed to enhance teamwork, communication skills, understanding of application of STEM inreal life, and self-efficacy. Unfortunately, schools that primarily serve under-represented groups oftendo not have the resources to provide such learning environments. Simply stated, there is a longer-termneed to have more students target STEM related careers, and the best way to do this is via engaginghands-on project-based