, individual ability, and personal responsibilities are also a part ofthe intellectual strand. The institutional strand focuses on identity based on affiliation and rolewithin the university and field. There are also institutional structures, resources, andresponsibilities that have an important influence on the identity of an early academic. Thenetwork strand includes professional relationships, organizations, and collaborations thatcontribute to professional identity. The three strands allow for a rich analysis of the complexnature of identity and how it evolves through time.This framework was used in an engineering education doctoral dissertation9 to explore theexperience of graduate students in optics and photonics. The findings of the study
manipulation and hands-on examination, such as labpractice and experimentation, so far, have been difficult to replicate in the online learningenvironment (OLE) [15]-[17]. Additionally, a new generation of ‘digitally native’ students maydemand more interactivity and involvement [18]-[22] than what online education has providedthus far.To foster greater student engagement while also accounting for individual learner differences andaddressing some of the challenges of the distributed learning environment, a variety ofapproaches have been suggested, ranging from collaborative environments [9],[23],[24] overproblem-, project-, situation-, or inquiry-based learning [25]-[27] to gamifications [6],[28]-[32]1The term self-engagement was introduced by [42] to
the ASEE Ad Hoc Committee on Interdivisional Cooperation; Chair of the International Network for Engineering Studies (INES); past chair of the ASEE Liberal Education / Engineering and Society Division; and a former member of the Society for the History of Technology’s (SHOT) Executive Council. Publications include /Calculating a Natural World: Scientists, Engineers and Computers during the Rise of U.S. Cold War Research/ (MIT Press, 2006).Sarah Appelhans, University at Albany Sarah Appelhans is a PhD candidate in Cultural Anthropology. Her dissertation research, ”Steel Toes and Ponytails: Gender and Belonging in Engineering”, investigates the boundaries of membership in engineering in the Capital District of New
graduate level in a program at alarge research university. Their findings indicated that this relationship is supported. Theprogram focused on faculty-student collaboration in research where students participated in afaculty research project for 10-12 hours per week.Gates, Teller, Bernat, Delgado and Kubo Della-Piana [8] have investigated the use of theSystems and Software Engineering Affinity Research Group model at the University of Texas atEl Paso to provide a socialization mechanism and infrastructure to help engage a larger pool ofundergraduate students at various years in their undergraduate education that have a varyingdegree of skill levels into research projects. This model, based on a cooperative paradigm,integrated students into small
students’ behavior and…to draw reasonable inferences about what studentsknow” (p. 833)2. This information consequently informs instructors and other stakeholders ininstructional processes.A key element of these analyses are the underlying patterns or groupings in the data whichresearchers hope are informative. Using methods such as analysis of variance (ANOVA), t tests,or tests of invariance, these groupings are explicated by the researcher and are known a priori.However, cluster analysis, a method for identifying those groupings which are close togethersolely from the data provided, may prove useful in augmenting instructor and stakeholderunderstanding of student characteristics. “Cluster analysis is the organization of a collection ofpatterns
Paper ID #22223Influences on Variability of Perceptions of Behavior on Student EngineeringProject TeamsEmily Miller, University of Virginia Emily Miller is a graduate student in Systems and Information Engineering at the University of Virginia. She has previously worked for the National Integrated Cyber Education and Research Center and as a researcher at the University of Virginia, Olin College of Engineering and Ohio State. Her research interests include motivation, expertise recognition, and teamwork.Prof. Reid Bailey, University of Virginia Reid Bailey is an Associate Professor in the Department of Systems and
Urbana-Champaign Bhavya is a Ph.D. student in Computer Science at the University of Illinois at Urbana-Champaign advised by Dr. Chengxiang Zhai. Her research interests are in novel applications of text mining, machine learning, and human-machine collaboration, particularly for improving education and health care.Prof. Lawrence Angrave, University of Illinois at Urbana-Champaign Lawrence Angrave is an award winning Fellow and Teaching Professor at the department of computer science at the University of Illinois at Urbana-Champaign (UIUC). His interests include (but are not limited to) joyful teaching, empirically-sound educational research, campus and online courses, computer science, engaging underrepresented students
, “Teaching and Learning in the College Classroom: A Review of the Research Literature”, Ann Arbor: Regents of the University of Michigan, 1986.10. J. F. Milem, J. B. Berger, “A modified model of college student persistence: Exploring the relationship between Astin’s theory of involvement and Tinto’s theory of student departure”. Journal of College Student Development, vol. 38, pp. 387-400, 1997.11. R. M. Felder, R. Brent, T. K. Miller, C. E. Brawner, R. H. Allen, “Faculty Teaching Practices and Perceptions of Institutional Attitudes Toward Teaching at Eight Engineering Schools,” ASEE FIE Conference, Session T1G, 101-105, 1998.12. C. Hsieh, and L. Knight, “Problem-based learning for engineering students: An evidence
ground their work in well-defined frameworks that include a collection of traitsdeveloped within the context. Although this perspective provides easily definable lenses foranalyzing identity, more research is needed into the factors that influence students’ identitydevelopment – particularly those that are within the control of engineering educators. This paperwill provide a review of an engineering identity study, explore the challenges and affordancesinherent in this work, and discuss the practical implications for engineering educators andscholars.IntroductionIn the early 17th century, the philosopher John Locke developed a theory of mind that advancedthe idea that individuals are born as tabula rasa, or blank slate: the mind arrives in the
of the field and its innovations[18]. One network analysis study ofcommunity and collaboration, for example, revealed a lack of diffusion across the engineeringeducation research (EER) community, and the network analysis illustrated the shape of thediscipline’s network. The authors then used the analysis to locate disciplinary pockets as well asareas and topics of interests. In this article, we follow scholars outside the field to take morenarrow approach[20]: rather than explore a network to discover themes or locate topics ofinterest, we instead interrogate one particular topic, intersectionality, to understand the way thefield has used the term, the way it has gathered around particular key texts, and the citationaltendencies that support
, novelty, and heavy collaboration [2]. Hackathons have beenused to: Spur interest in computer science fields [3] [4] Create innovations within companies [2] [5], for governments [6], and for research projects [7] Provide applications of learning for undergraduate students both within the STEM fields [3] [8] [9] and in non-technical fields, such as marketing [10]Within an educational context, hackathons are very useful for stirring engagement and forcorrecting student perceptions of their program [3] [4] [10]. There is, however, limited literatureon hackathons being used in-class, with the “Markathon” [10] being one notable exception.Hackathons are usually, but not always, competitions [8]. Most
in Engineering Education, August 2017, at Purdue University under the National Science Foundation Graduate Research Fellowship Program. Within his graduate work, Justin plans to explore low socioeconomic high school students’ mathematics experiences and the affect they have on their choice of pursuing post-secondary engineering education.Dr. Adam Kirn, University of Nevada, Reno Adam Kirn is an Assistant Professor of Engineering Education at University of Nevada, Reno. His re- search focuses on the interactions between engineering cultures, student motivation, and their learning experiences. His projects involve the study of student perceptions, beliefs and attitudes towards becoming engineers, their problem
. Kim received a Ph.D. from the USC, and a master’s and a bachelor’s degrees from the Seoul National University. Her current interests include pedagogical discourse analysis, human-computer interaction, social network assistance, and assessment of student collaborative online activities. She leads synergistic work among machine learning experts, educational psychologists, NLP researchers, and STEM instructors. She is the PI of five NSF projects including the CCLI/PedDiscourse, CCLI/PedWiki and NSDL/SocRecomm projects under the EHR Directorate and CreativeIT/PedGames and IIS/PedWorkflow projects under the CISE Directorate. Under the retired PedDiscourse effort, her team designed, deployed and evaluated software
California, Santa Cruz. Beckett’s continuing dissertation research examines a community-university collaboration situated in a low-income, predominantly Latino community, that created and used digital stories as artifacts and learning tools to engage members of the community (parents, teachers, district officials, union leaders, students, non-profit service providers, etc.) in reflection and dialogue around the economic, social, and cultural barriers that constituents face when advocating for student academic achievement, and to identify the strengths and solidarities that can be created to change the school system to better serve the student body (Beckett, Glass, & Moreno, 2012). Beckett has presented her research at
students and a study of meaning-making language and behaviour in student design teams.Dr. Greg Evans, University of Toronto GREG EVANS is a Professor of Chemical Engineering and Applied Chemistry and the Director of the Southern Ontario Centre for Atmospheric Aerosol Research at the University of Toronto. He is the Di- rector of the Collaborative Program in Engineering Education and Associate Director of the Institute for Leadership Education in Engineering (ILead). He has been awarded the 2014 Allan Blizzard Award, the 2014 Faculty Teaching Award, the 2013 Northrop Frye Award for Linking Teaching and Research, the 2010 Engineers Canada Medal for Distinction in Engineering Education and the 2010 American Society for
analysis uncovers whether team memberscorrectly perceive the relationships among their teammates. These initial findings openopportunities for future work on the role social network analysis can play in the analysis ofcollaborative learning.1. IntroductionReal world engineering design problems are frequently solved by teams; therefore, as educators,we are required, both by ABET and common sense, to give students the skills and attitudes thatenable them to work effectively in teams. One of the key skills is the ability to engage incollaborative learning with team members. In the process of acquiring the knowledge necessaryto solve the design problem, collaborative learning gives students the opportunity to both learnfrom and to teach their peers
aprevalent source of evidence used to characterize engineering practice, including in studiesfocused on the experiences of early career engineers. Representative examples include: Korte’sstudy of organizational socialization among early career engineers based on interviews withnewly hired engineers and select managers6; research by Brunhaver et al. on gaps betweenengineering education and practice based on interviews with engineering students and newlyhired engineers7; and research by Trevelyan and Tilli that aimed to identify the specific kinds ofwork activities performed by recent engineering graduates in Australia.8Yet commentators have noted some of the limitations associated with interview data. Stevens etal., for instance, point out that
use of narrative and storytelling has become acknowledged as hybridizing a cultural activitywith a research method, serving as one among many decolonizing methods that have a history ofuse in indigenous communities and communities of color37,39 (as indeed in white communities).Researchers in the social sciences have been using narrative to understand complexity withinindividuals' experience.33 Cynthia Winston and colleagues40 use narrative via the telling of “lifestories” to create cases of black students in STEM disciplines both as a way to think about theirpersonal psychological development and for students to learn about themselves. Culturalperformers including Anna Deavere Smith,41,42 the national storytelling project StoryCorps
was arranged to take place in South Africa for the firsttime in the summer of 2004, and was offered again in 2006 and 2008. Approximately the sameformat for the three visits was employed. The procedure followed in the program was first of allto set up a collaboration with the School of Bioresources Engineering and EnvironmentalHydrology (BEEH) at the University of KwaZulu-Natal (UKZN) in South Africa to facilitatestudent interaction via teamwork on mutually selected capstone design projects. Bothundergraduate and graduate students were recruited from the Department of Agricultural andBiological Engineering at a large, public mid-western research-extensive university during thefall semester prior to the summer visit.Early in the spring
, misses much of the largerpicture and places too much of the onus to change on the faculty members.BackgroundIn 2006, the author completed a study that was aimed at shedding some light on the parts of theuniversity teaching picture that for too long had been left in the dark: the good teaching.[1] Theresearch was initially inspired by the disjuncture between the plethora of negative critiques ofteaching in research universities and the author’s personal experience as a graduate student andinstructional consultant in those settings. Excellent teaching in those settings had been generallyoverlooked in the literature, and much of the existing research on effective teaching was focusedon instructors’ actions – what they did in their classrooms
students. In 2018 and 2019, she collaborated with Dr. Kavitha Chandra to utilize participatory action research (PAR) as an evaluation approach for the Research, Academics, and Mentoring Pathways (RAMP) summer program for first-year female engineering students.Prof. Kavitha Chandra, University of Massachusetts, Lowell Kavitha Chandra is the Associate Dean for Undergraduate Programs and Professor of Electrical and Com- puter Engineering in the Francis College of Engineering at the University of Massachusetts Lowell. She directs the Research, Academics and Mentoring Pathways (RAMP) to Success program that aims to estab- lish successful pathways to graduate school and interdisciplinary careers for new undergraduate students
: Note: Students were given the understanding of current divider rules in series, parallel networks. This problem is the application of these concepts and their inter-relationship. Students had not seen a similar problem before.Data Collection: The class survey was tested for reliability and validity before it was used fordata collection. The items were reviewed several times by the researchers and the departmentfaculty for their structure, simplicity and intended meaning. It was then pilot tested on five upperlevel graduate students. Items were revised many times and some were rewritten based on thefeedback from the faculty and the students. After obtaining approval from the
notconsidered by the dominating students. By listening to the GTA’s suggestions to another groupregarding the teaming norms, the group is not only showing their uncertainty regarding thisaspect of the task, but also appealing to instructor authority for assistance. This manner ofworking on the task is the reason this episode was coded for Handout/Instructor Authority. Thelaughter and joking language used also suggest that the team does not value of this part of thetask, but are simply complying with instructor by filling out the worksheet (Worksheeting).When collaborative efforts of the group fail to resolve this confusion, the group members resortto independent work in order to complete this section. The confusion, locus of authority in thehandout
tookplace at a selected HBCU in US for an overarching goal of improving students’ learningexperiences and outcomes. For this purpose, authors have proposed a project to widen theimplementation of evidence-based pedagogies in STEM education at an HBCU in US andsystematically capture the changes in STEM faculty’s approaches to teaching and understandingof their students’ learning. The project was funded by the department of education and initiatedin 2015. The purpose of the study we present here was to explore and document the changes inSTEM faculty’s approaches to teaching and understanding of learning because of theirparticipation in the project activities.Literature Review Widening research-based pedagogies in higher education and
According to A. Kimball Romney, cultural consensusanalysis provides researchers with a valid, replicable, and objective method to study socialgroups and their beliefs.12 In fact, this method has been used across a wide variety of disciplines.In the field of cross-cultural management, consensus analysis has been used to measure sharedknowledge among diverse members of business organizations. 13 Medical anthropologists haveused the method to explore intracultural variation among physicians10 and patients.14, 15 Otherresearchers have used the method to explore variation among, for example, experts andnovices,16, 17 women and men,18, 19 target populations for marketing research,20 and parent-teacher interactions.21 We use this method to measure whether
innovations did not spread widely, and arecent report13 explores the reasons for the failure of those efforts to take hold. The reportsuggested that a particularly important factor in the lack of diffusion is the culture of researchdominant in many engineering schools. The report suggests a number of cultural changes to tryto place more emphasis on undergraduate education, including tenure reform and changedincentive structures, but three types of organizational response to the need for increasedundergraduate emphasis in practice are common: the standalone program, the engineeringeducation department, and the interdisciplinary program or institute.Standalone undergraduate programs ensure that undergraduate education is a primary focus ofthe
sequence is straightforward: to introduce the students tothe design process early in their college careers, and maintain a constant rate of increasingcomplexity throughout the four years of study. By graduation, the students are well versed in thedesign process, oral and verbal communication, and key teaming skills, and hence areimmediately able to contribute productively in their first professional employment.2.1 Evaluation of Team Members in Senior Capstone DesignAlthough peer evaluation is incorporated in every team-based design course within the program,we focus here on our experience with the final course in the D4P sequence for Computer Science,called Senior Capstone Design. In this course, teams of students work on real corporate
Supplementary Instruction (SI) in STEM gateway coursesThe basic premise of our retention effort is a focused, institution-wide effort rather than fragmented(departmental) and/or diffused initiatives. Attrition is a multi-variant phenomenon that requiresimproving students’ life and learning experiences. An extensive body of research identifies severalmechanisms to promote students to persist and graduate. Promoting retention in a college settingis attributed to (i) effective and personalized advising; (ii) a social and academic supportiveenvironment; and (iii) an atmosphere that fosters collaborative and cooperative teaching andlearning. Our retention activities are facilitated through STEM Supplemental Instruction (SI)program.Over the past four years
experiences; (2) facilitate students’ engineering skills; and (3)develop students’ capabilities and dispositions for engaging in collaborative project-basedinquiry and critical thinking. To assimilate new information and incorporate it into the existingknowledge, students need to restructure their knowledge for themselves, which can beaccomplished through active learning. A number of tenants underlie this teaching philosophy,including (Knight, 2004): students take direct responsibility for their knowledge, proactivelyengaging in the study of their texts and reference materials, participation and leadership in courseactivities, completing assignments, laboratories, and exploration in the field; the instructorassumes more of a role of a facilitator: “a
is the architect of a unique 4-course mod- ule focused on creativity and problem solving leadership and is currently developing a new methodology for cognition-based design. She is one of three instructors for Penn State’s Massive Open Online Course (MOOC) on Creativity, Innovation, and Change, and she is the founding director of the Problem Solving Research Group, whose 50+ collaborating members include faculty and students from several universities, as well as industrial representatives, military leaders, and corporate consultants.Mr. Xiaorui Zhu, Pennsylvania State University Xiaorui Zhu was born in China in, 1989. He has master degree of Applied Statistics in College of Ap- plied Science of Beijing University