. vol. 11, pp. 815–829, 2011.[4] D. R. E. Cotton, R. George and M. Joyner, “Interaction and influence in culturally mixedgroups,”. Innovations in Education and Teaching International., vol. 50, 272-283, 2013.[5] A. W. Astin, Assessment for Excellence: The Philosophy and Practice of Assessment andEvaluation in Higher Education, Washington, DC: American Council on Education/Oryx PressSeries on Higher Education, 1991.[6] E. L. Deci and R. M. Ryan, Intrinsic motivation and self-determination theory in humanbehavior. New York, NY: Plenum Press, 1985.[7] J.M. Keller, “Development and use of the ARCS model of motivational design,” J.Instructional Dev. vol. 10, 2-10, 1987.[8] A. Bandura, Self-efficacy. New York, NY: John Wiley & Sons, Inc., 1977.[9
education literature search findings,professional reports, and validity checks with faculty, the list in Table 1 is neither exhaustive norfinal. Rather, this list serves as the first attempt to operationalize various academic and personalcompetencies relevant to thriving in the engineering context. Described in more detail in theFuture Research section, more research is needed to refine and validate this conceptualframework for engineering thriving.Table 1. Competencies important to engineering student success, as identified in publishedresearch papers in Engineering Education and professional reports (such as ABET and NSF) Competency Definition Academic Self-efficacy
perceptions of both the organization and the individual [61]. Researchestimates that a failure to empower employees in their work costs U.S. businesses up to $550billion annually [62]. The interaction between value incongruence and empowerment is criticalbecause it highlights a space where engineers might experience tensions that their engineeringeducation makes them ill-equipped to address [24] [38]. Notably, Chatman [63] postulates that aperson can successfully overcome potential adverse effects caused by person-organization valueincongruence—and even influence the organization’s values to be more like their own—if theyfeel empowered (i.e., perceive themselves as having self-efficacy and control) over the situation.We argue that these tensions
pursuingengineering degrees [5-6]. This is particularly true for women in STEM [7-8]. Of the womenwho do graduate with an engineering degree, many seek jobs outside of the engineering industrymore often than their male counterparts. Many reports indicate that women leave engineeringjobs in part because of low self-confidence in their technical abilities. A study published by theAmerican Sociological Review shows that women express and feel less professional roleconfidence than men when in engineering [9]. This study, along with others, affirm that womenin engineering careers often have lowered self confidence in their technical competencies even ifthey persisted through getting an engineering degree [9-10]. Lowered self-efficacy coupled withan extra pressure
presentations in “regular” communication classes and those who have participated in Idol students’ attitudes and self-efficacy about public speaking factors that motivate students to participate.Literature reviewOnce we saw how well-received Idol was, we put together some quick survey questions,gathered some data from students, and then went back to see where our research fit in theexisting literature. We knew from the beginning that Idol could add important contributions toresearch into communication skills in engineering, and research on student motivation andpersistence. We also recognized that Idol is a good example of faculty and student collaboration,interdisciplinary initiatives, and that it shared many of the qualities of
novel ways.85 In other words the theories’tenets are left unexamined (hence prepackaged), and theoretical development does not occur. Page 24.934.8Some examples of theories popular in EER that have been employed this way include self-efficacy, social capital, and some identity theories. However, as Anyon and others have argued,to deeply understand the complexities of a given phenomenon, the evidence collected should alsobe contrasted with the theory (or theories) the researcher employs.86-87 Concept matching as thedominant use of theory in engineering education is not unique: it reflects the dominant use oftheory in education research more
, can lead to better communication and trust. What emerges is a more healthy relationship.Students gain what they wanted all along - to learn what will help them later on. And faculty gainwhat they want - deeper respect from their students.The focus so far has been largely on skills and knowledge. But as we are exiting the knowledge-based world in which we were educated, attitudes and mindsets are being recognized as moreimportant factors of later success 33,34,35,36,37 . In the literature these attitudes include grit, curiosity,self-efficacy, the growth mindset and others. Whatever the makeup or nature of a mindset, mostpedagogical methods short circuit the development of these mindsets. To take one specific mindset,we know that students are
. Results also show thatlong-term retention of learning improved for all topics, including ones where student examperformance was traditionally satisfactory. Finally, she reported that student interest in coursematerial increased slightly for male students following the implementation of E3s, butsignificantly for female students. She cites this as an important finding since interest in a topichas been correlated with students’ self-efficacy, which in turn relates to persistence rates inengineering, a field which fails to retain female students at the same rates as male students [34].Use of real-world examples with sociotechnical integrationDuring our search of the literature, the work of Andrade and Tomblim emerged as a case studyon the use of real
AC 2012-3009: USING STUDENT AMBASSADORS TO RELAY THEMESFROM CHANGING THE CONVERSATION IN ENGINEERING FIRST-YEAR SEMINARSDr. Sarah E. Zappe, Pennsylvania State University, University Park Sarah Zappe is the Director of Assessment and Instructional Support in the College of Engineering at Penn State University. In this role, she provides support to faculty in trying innovative ideas in the classroom. Her background is in educational psychology with an emphasis in applied testing and measurement. Her current research interests include integrating creativity into the engineering curriculum, developing in- struments to measure the engineering professional skills, and using qualitative data to enhance response process
Diekman et al. [77], “STEM careers are perceived as less likely than careers inother fields to fulfil communal goals (e.g., Working with or helping other people)” andindeed, found that “STEM careers, relative to other careers, were perceived to impedecommunal goals” and that “communal-goal endorsement negatively predicted interest inSTEM careers, even when controlling for past experience and self-efficacy in science andmathematics”; pointing out the agentic (as opposed to the communal) value of STEM.Ramsey [78] took on a study to test for the value systems of students and faculty staffmembers of a science department in a university, and found that all participants involved(students and faculty) “perceived agentic traits as more important for
] analyzed the “low-choice culture” of engineering curricula, particularly incontrast to other fields of study. In the context of new research demonstrating the value of selfdetermination or autonomy for students in motivating learning, enhancing self-efficacy, andsupporting persistence, the relative inflexibility of engineering curricula stood out starkly. Withinindividual courses, studies have shown the “power of choice” to positively influence studentoutcomes, for example, when students may choose from among a menu of design projects[45, 46], and recommendations have been made for the design of self-determination supportiveengineering-student learning experiences [47, 48]. However, Forbes, et al.,’s statistical analysis ofthe curricula at 46
andOrganizational Foundations of Integration In 2010, although the total number of papers that fell into our categories did not increasesignificantly (17 in 2010 vs. 14 in 2000), awareness of published research did increase. In 2000,the average number of references was 6.4, but in 2010, the average number was 13.6, which ismore than a 100 percent increase. Whereas the median number of references in 2000 was 4.5 andthe mode was 1, the median number of references for 2010 was 10 and the mode was 7. Inessence, almost every paper in 2010 attempted to bring in a range of sources, whereas almosthalf of the papers in 2000 had only one to three citations. The number of references is, of course,only a crude measure of awareness of published research. That
an energy audit of [our] campus, working on a bookabout sustainable agriculture in the Lehigh valley, working on a traffic calming solution for [local]street. All within arms length with measurable and visible impact on student life (especially if youwere a student who volunteered at [campus organic farm], like I did!)” Another respondent invokedsustainability as a way of explaining the program to others: “I try to explain that it is a degreefocused on policy and critical thinking in engineering and sustainability with a technicalbackground.”Responses about the perceived strengths of the program also surfaced an emergent theme of“professional preparation” (8 responses). While this theme was not unexpected as a response tosurvey questions
beliefs that guide behavior” (Guthrieand Wigfield, 1999, p. 99, as cited in Piaw, 2014, p. 510).23 To assess the role of humor cartoonsin increasing motivation, Piaw conducted an experiment in which subjects were given twodifferent versions of a chapter: (1) a text-only version and (2) a text with humor cartoons. Themain conclusions emerging from the experiment were that “Reading the text with humorcartoons led to great self-efficacy, intrinsic and social motivation [and thus] help a reader toachieve a higher reading comprehension score” (Piaw, 2014, p. 513).23 One way to interpretthese findings is that humor enhances reading motivation, and motivated readers invest moreeffort in reading. Another way to interpret these findings is to say that the
for reviewer comments; only minor revisions were recommended in the review process.This client’s review indicated how well the team had been incorporating his feedback throughoutthe project.Our assessment of student learning is not based on a statistical model, as in large-scaleassessments, but rather it measures how students perform on a classroom-based assessment.Pellegrino argues that classroom assessments, which depend on interpretations made by teachersusing qualitative data, rather that statistical models, are not being used to their fullest potential[12]. The qualitative data that follow provide evidence for interpreting student performance,including students’ use of feedback in the revision process. These data are provided to
studies focused on solving is at the core of adistinction that we wish to draw attention to between ‘problem-solving’ and the solving ofproblems.According to a joint executive report from the National Science Foundation (NSF) and theNational Endowment for the Arts (NEA), student skills in engineering problem-solving(specifically in electrical engineering and computer science) are in dire need of a boost. Thereport states that “undergraduate and graduate students who study electrical engineering andcomputer science lack the ability or self-efficacy to create new ideas and innovations that stretchbeyond rote classroom exercises”1.Other high-profile reports agree: The National Academy of Engineering lamented in 2004 that“engineering students are not