providing students with discussion questions prior tothe class session. Students discussed the highlights of a research paper in their team beforepresenting a brief summary, questions, and additional thoughts for the class to discuss. The topicscovered in these discussions spanned a wide range of topics including: (1) the impact ofadvanced technology and AI on work (AI, Robotic Process Automation, Chatbots) [7], [8], [9];(2) organizational design and its impacts on how people will work (Crowd Work, Care Work,Telework, Smart Working, Remote Work, Four Day Workweek) [10], [11], [12]; (3)demographics of workers, (4) communication and coordination (Human-machine interaction andhuman-human interaction), (5) collaboration and social interactions
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
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
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
A Case Study on How to Implement Applied Learning as an Institutional Baccalaureate Graduation RequirementAbstractThe definition of applied learning has broadened from hands-on assignments to assisting studentsto develop essential knowledge and skills through contextualized real-world learning to preparefor employment, community engagement, and further education through courses or co-curricularactivities. Applied learning includes experiences such as practicum, undergraduate research,internships, clinical placement, civic engagement, service learning, cooperative learning, andindependent/directed study. Research on applied learning in the classroom shows that it is anaccepted method to reach student learning outcomes and
hadgraduated and did not provide post-graduation contact information. Finally, the paper providesrecommendations for future longitudinal studies. Page 24.501.32.0 MotivationFor the purposes of this work, community engagement (CE) is taken as an amalgamation ofvarious pedagogical methods, including service learning, community-service, and project-basedlearning, among others. The distinguishing aspect of CE in engineering education is theintentional design of the effort to incorporate service as a means to meet academic learningobjectives. Previous work has shown that CE has the potential for student development on thecognitive 16, 17, 43, 49, social
disclosures that resulted from previous years with contributions of previous participants can be an effective tool in highlighting the potential research impact. Service & Research Experience programs can be documented, high impact outreach and Outreach service activities for participating mentors. Collaborations Interactions among various mentors involved in the same project site focused on a common theme can result in future collaborations among mentors. Exploring Research experience programs also offer the mentors the chance to explore new Mentoring mentoring strategies or styles. If the style is successful, it can be generalized to a Strategies
Paper ID #16011The Prototype for X (PFX) Framework: Assessing Its Impact on Students’Prototyping AwarenessMs. Jessica Menold, Pennsylvania State University, University Park Jessica Menold is a third-year graduate student interested in entrepreneurship and the design process. She is currently conducting her graduate research with Dr. Kathryn Jablokow and Dr. Timothy Simpson on a project devoted to understanding how prototyping processes affect product design. Jessica is interested in exploring how a structured prototyping methodology, Prototype for X, could increase the end design’s desirability, feasibility, and
research question. The lack of a standard methodology makes it difficult tocompare research and findings in the same field. The EAO is a well-designed multivariateinstrument for measuring the students’ entrepreneurial attitude. We would like to update andenhance the instrument, and collect data broadly across disciplines. From which we can set up anormative score and explore if it can be used to identify students with entrepreneurial inclinationand correlate that to future success in entrepreneurship programs (e.g. the SAT is normalized to amean score of 500, with one standard deviation points at 400 and 600. SAT was validated forpredicting students’ first year success in college). That might be an additional tool for theprograms to identify and
graduate students. If we areto preach teamwork to our students, we had better train young faculty in teamwork,and leadership skills necessary for success. Although we would continue to witnessfaculty who can research and publish on their own; but, at the very least the lonewolves will have to learn to travel in more collaborative packs. Having more trainedfaculty in team-based, collaborative research will bolster the pool of potential groupleaders, department heads, and future administrators, when the need arises.Institutional RoleColleges of engineering would excel at teaching and learning when the majority oftheir faculty develop and achieve a reasonable level of pedagogical knowledge, and atthe same time, are able to enrich the learning process
and cutting-edge methods, such as person-centered approaches, NLP, ML, and Social Relation Models. He studies and promotes multicultural teaming experiences to promote an inclusive and welcoming learning space for all to thrive in engineering. Particularly, he aims to help students improve intercultural competency and teamwork competency through interventions, counseling, pedagogy, and mentoring. Siqing received the Outstanding Graduate Student Research Award in 2024 from Purdue College of Engineering, a Bilsland Dissertation fellow in the 2023-24 academic year, and the 2024 FIE New Faculty Fellow Award.Alexander V Struck Jannini PhD, University at Buffalo, The State University of New York Dr. Jannini is a
GrantOpportunities for Academic Liaison with Industry (GOALI) established in 1995 [6], and Industry-University Cooperative Research Center (IUCRC) [7]. In spite of these programs running fordecades, the interaction between universities and companies was not progressing fast enough.Therefore, a few years ago NSF’s Directorates for Education and Human Resources; Engineering;and Computer and Information Science and Engineering introduced ‘Non-Academic ResearchInternships for Graduate Students (INTERN)’. Even the critics of Stokes’ model have recognizedthat ‘working with industry can provide tremendous benefits and generate many new questions offundamental importance’ [5].A key aspect that is absent in these various analyses of research has been the education
, 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
systems that reason about domain knowledgeand diagnose student problems, to produce detailed analyses Figure 5. Students collaborate to answer the software questions related to circuit analysis.of student utterances and generate automatic feedback.CycleTalk, built upon the CyclePad simulation environment(above), investigated novel ways of using tutorial dialogue toteach thermodynamics [11]. The system empirically evaluateddialogue that invited students to negotiate problem-solvinggoals. For example, the system asked student to “do you thinkit is a good idea for the . . . temperature to be increased andkept high?” or “What happens to the steam quality if youincrease the maximum temperature?” Empirical resultsprovide strong evidence in favor
investigator’s laboratory and the interim summer term’s research conducted in the collaborating PKU investigator’s laboratory; • pairing each student with a PKU faculty advisor and Georgia Tech/Emory faculty advisor as well as a graduate student mentor modeling the cooperative international tenor of the PKU/Georgia Tech/Emory partnership for the student; • lodging, meals, and a travel allowance for participants during their stay at PKU; • social and cultural interaction between the student participants and their graduate mentors; • academic credit for their research during the spring and fall semesters at Georgia Tech and Emory; • housing in either PKU dormitories or in private apartments adjacent to the PKU
110 minute lab period led by a graduateteaching assistant. Potential advantages to the new format may include reduced teaching andgrading time for research faculty and opportunities for students to do more involved in-classactivities during the new extended lab period. Furthermore, it will provide teachingopportunities to graduate students. Lo and Lohani will explore ways to grade efficiently, managegraduate teaching assistants who will be teaching lab sections and assisting in the developmentof the course, and introduce a research-related component and contemporary issues into thecourse.AcknowledgementsThe authors of this paper would like to acknowledge the financial support of the NationalScience Foundation (grant numbers 0342000 and
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
programs in the design phase aswell as those currently being delivered.IntroductionDoctoral degrees lead the hierarchy of higher education qualifications, and within the ranks ofdoctoral education, the Doctor of Philosophy (PhD) generally reigns supreme [1]. As a recent 1addition to the compendium of research doctoral disciplines, Engineering Education (Eng Ed)programs aim to prepare students to independently conduct rigorous research on engineeringcurriculum, pedagogy, assessment, and faculty development” among other relevant topics [2],[3], [4]. It is expected that based on their doctoral education and training, graduates will not onlyserve as researchers but will also perform leadership functions
Engineering Education Annual Conference & Exposition Copyright 2002, American Society for Engineering Education”1. Icesi UniversityIcesi University was founded 22 years ago as a private small business school. It offered initiallyan undergraduate program in Business Administration. Five years after that the undergraduateprogram in Computer Engineering began to be offered. Also, the school was offering anassortment of graduate programs in Business-related subjects.These two undergraduate programs had separate Operations Research classes, but in 1996 and asa result of a review in their curricula, it was decided that they would take the same class in mixedclassrooms.The school then decided to broaden its academic programs
Based Learning ProgramIntroductionIn this research-track paper, we seek to identify the relationship between engineering identity andbelonging and neurodiversity in a co-op based program. Neurodivergent characteristics, such asattention to detail, creativity, and pattern recognition, align well with careers in STEM (Science,Technology, Engineering, Mathematics), yet retention of neurodivergent students withinengineering programs is lower than neurotypical students [1]. Neurodivergent students whograduate or attempt to enter the workforce in a STEM discipline face bias and decreased successrates in job attainment after graduation [2]. By exploring neurodiverse engineering students’engineering identity and sense of belonging in a co-op based
free) alternatives that lead to either a certificate or degree. With today’sinternet technology and social networking capabilities, it seems feasible to provide superior edu-cational opportunities for a much larger and more diverse population of people. The online me-dium is not only a venue for educational innovation through experimental teaching methods, butalso a source of new information (e.g., through online surveys and tracking of student progress).Online experiences should lead to further improvements in modern educational techniques andmethods. This and subsequent papers will explore the viability of these notions while concentrat-ing on several online education scenarios through: 1) further elaboration (particularly, within
researchers, the amount of storage space was not the issue of concern, but rather it wasthe organization of the datasets that posed a logistical challenge. One faculty member mentionedthat neither they nor their associated graduate students or collaborative researchers have theskills, resources, and time available to organize data in a meaningful way. For some AE faculty,such an organization project would not be worth the effort anyway: “[If] we think the data's not really going to be used, and we're the only ones who's going to use it, that's a lot of effort to go to make all that information and organize it and then it's a waste of time if no one does it. So in the short term aspect to us, it doesn't help us. Too labor
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
of 90 engineering students to better understand what experiences made the greatestimpact. These experiences are also present in the literature on leadership development [5], and arecommon practice in existing engineering leadership programs [4, 6, 7].Leadership and EngineeringLeadership has been studied for almost as long as human history, with the ancient works of theGreeks, Romans, and Chinese all exploring the topic [8]. Despite this long history and an evergrowing research base [9], there is little evidence of a commonly accepted definition of the topic.This sentiment has led to the conclusion stated in The Nature of Leadership that “given thecomplex nature of leadership, a specific and widely accepted definition of leadership does not
. Sanger, the visiting professor from the Purdue University, USA3,the graduate students proposed a rather surprising idea for their project: To help foreignstudents at the university faster and easier adapt to the new environment. In KNRTU, a specialattention is paid to solving the issues of academic mobility4,5, the number of foreign studentsfrom near and far abroad increases every year (over two thousand people from 63 countriesare studying here), which is another specific feature of the national research university. At thesame time, adaptation to the new socio-cultural environment is one of the main issues thatboth the university and the foreign students themselves face, since this determines the successof their learning activities to a large
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
Paper ID #9336S-STEM: ENG2 Scholars for Success 2007-2013Ms. Sarah Cooley Jones, Louisiana State University Sarah Cooley Jones is an Associate Director, College of Engineering at Louisiana State University. Ms. Jones develops and manages student programs for undergraduate and graduate engineering students in- cluding programs focused on underrepresented student populations. These programs encompass scholar- ships, fellowships, and seminars/workshops that develop students academically and professionally. She joined LSU in 1992 as a College of Engineering research associate in the area of environmental analyses and worked
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
of highschool, college and graduate students. The researchers will (1) examine team-membersexperiences in this course to determine if and how the course design can be improved and(2) quantify high school students’ perceptions of college, specifically the University ofUtah and the College of Engineering. ChE is a pilot interdisciplinary service-learning seminar on hydrogen sustainability.It includes 12 University f Utah college students (six from Chemical Engineering and sixfrom other disciplines) and 12 advanced high school students who will be taking the coursefor college credit. The “pilot” nature of this course requires that research be conducted toassess the impact of the course. Currently, the seminar will be evaluated for both
repair and upgrading to keep engineering professionals engaged and contributing in theworkplace.” Universities must create and maintain environments where students can experiencepositive affect, and train students to be aware of their affect, including developing theiremotional intelligence to assist their future peers with their affect [4].2.2 Self-efficacy in WIL contextsTo date, most of the research on the benefits of WIL programs for engineering students havefocused on outcomes rather than experiences [3]. For example, Blair and colleagues [9]investigated the impact cooperative education had on engineering graduates across threedimensions, GPA, duration of time in school and starting salary. Their findings indicate thatstudents who