Paper ID #28530First-Year Engineering Students’ Interpretation of Curiosity in theEntrepreneurial Mindset Through Reflective PracticeCourtney A. LeMasney, Rowan University Courtney LeMasney is a second-year undergraduate at Rowan University pursuing a B.S. in Chemical En- gineering. During her time there, she has been awarded the Kupersmith and John D Cook III scholarship awards, and has expressed increased interest in fire protection and materials engineering.Hayley M. Shuster, Rowan University Hayley Shuster is a sophomore engineering student pursuing a B.S. in Electrical and Computer Engineer- ing at Rowan University. She
integrate entrepreneurial minded learning within theundergraduate curriculum. With funding from the Kern Family Foundation, the goals of thiswork are not only to better equip students to meet the demands of the modern marketplace butalso to empower students to tell the story of their growth into entrepreneurially mindedengineers. In order to tell this story, students engage in a portfolio process grounded in evidenceand reflection. The structure of this story-centric curricular framework consists of a first-yearlauncher course where foundational topics such as design thinking, reflection, folio thinking, andentrepreneurial mindset are introduced. At the other end of the framework is a unique coursecalled The Art of Telling Your Story. In this upper
- ter Polytechnic Institute (92) and his PhD from Massachusetts Institute of Technology (98). He has pub- lished two books, ”Fundamentals of Chemical Engineering Thermodynamics” and ”Interpreting Diffuse Reflectance and Transmittance.” He has also published papers on effective use of simulation in engineer- ing, teaching design and engineering economics, and assessment of student learning. c American Society for Engineering Education, 2020 Building Toys for Children by Applying Entrepreneurial-Minded Learning and Universal Design PrinciplesAbstractIncorporating entrepreneurial-minded learning (EML) into engineering curricula has been anincreasingly popular educational practice over
was expanded into a more elaborate semester-long project that addedmakerspace visits and an essay where students reflected upon the opportunities these spacesmight offer to cultivate an entrepreneurial mindset. Student surveys captured attitudes about theproject and the university making facilities, and indicated that a large majority of the studentswere more likely to use the making facilities in the future because of the semester project.Student reflective essays also indicated that the students believed that making spaces addedenormous value to the university and supported cultivation of the entrepreneurial mindset,specifically promoting curiosity, making connections, and creating value.The “Teams Teaching Engineering” project may provide
negative (IntrojectedRegulation, in which avoidance of guilt or other negative feelings serves as a motivator; ExternalRegulation, in which an obligation or demand from work or elsewhere serves as a motivator; andAmotivation, where the individual is unsure of why he/she is doing something, and is unable toarticulate a motivating factor) [15]. As has been the case with several other groups of programteachers, respondents provided high levels of agreement with statements reflecting the two morepositive types of motivation (Intrinsic Motivation, mean = 5.08, and Identified Regulation, mean= 4.41), and provided low levels of agreement with statements reflecting the three more negativetypes of motivation (Introjected Regulation, mean = 2.25; External
cities to IoT technologies and datasecurity. Teaching was divided into three interconnected sections on sustainabledevelopment, technology and ethics, and collaboration. Each of these sections combinedtheory with practice through panels with experts from academia and industry and hands-onworkshops, encouraging the students to consider multidimensional aspects of their chosenchallenge and its consequences for the entire system it links to. A variety of design thinkingmethods were introduced for exploring the challenges holistically to define and reframe theproblem at hand, identify ethical dilemmas and understand the needs of stakeholders forsuccessful collaboration.At the end of each section, students were asked to reflect on their incorporation
failure Learning from failure (LFF) Establishing the cost of production or delivery of a service, including Cost of production (CoP) scaling strategies Building, sustaining and leading effective teams and establishing Effective teams (ET) performance goals Table 2. Assessment Outcomes for the Four Modules Module AO1 AO2 AO3 AO4 Thinking Articulated creative Reflected on the Applied divergent- Applied an ideation
onstudents.This paper reflects a study on curricular pedagogical methods used to teach engineering studentsparticipating in entrepreneurial programs and ventures about failure and the research being doneto advance the community’s understanding of how to positively teach students about and throughfailure. We conducted a systematic literature review of student failure in the overlapping contextof engineering education, entrepreneurship, and psychology. The primary research questionbeing explored is: How is failure studied in the engineering entrepreneurship educationliterature? This research question is broken down into several sub-questions: 1) Whattheoretical frameworks are used to study entrepreneurial failure in this literature?, 2) How hasfailure been
. degrees in Electrical Engineering from the U of A and has served on the industrial engineering faculty since 1991.Dr. WENJUO LO, University of Arkansas Dr. Wen-Juo Lo is an Associate Professor in the Educational Statistics and Research Methodology (ESRM) program at the University of Arkansas. His research interests involve methodological issues related to analyses with a focus on psychometric methods. The recent research agenda concentrates statis- tical methods for the detection of bias in psychological measurement, especially measurement invariance on latent factor models. In addition, he also conducts research to develop effective latent variable model and instrument that reflects the factors of college students
, Serving others, persistence, resilience, Achievement the box thinking, overcoming question, reflection, barriers, persistence, resilience / research, self-authorship, tenacity, question, research, breakdown barriers, Reflection, self-authorship, intentions breakdown-barriers, intentionsStep 5: Adjustment and Final Category ListAll three authors met and discussed each of the categories and concept distributions and madeiterative changes until consensus was reached. In total, we identified 237 distinct concepts in24 categories that help describe EM, including those
tandem with the IV-Intervention emergent technologypresentation, and not during control semesters. These circumstances were beyond our control butaffected the pseudo-experimental design and represent a threat to the validity of the study.In addition, this study only reflects the behaviors and attitudes at CSU Chico. Replication acrossmultiple institutions would be necessary to generalize the conclusions. CSU Chico is also arecognized Hispanic Serving Institution (MSI) and enrolls disproportionately high percentage offirst-generation, low-income, and under-represented minorities (URM) in STEM. Our students’motivations and behaviors may or may not reflect those of the general population of softwareengineering students.Nevertheless, it is
reflect on and showcase their accomplishments. Amy earned her Master’s degree in Biomedical Engineering from Arizona State University (ASU), and is currently pursuing her PhD in Engineering Education Systems and Design.Dr. Alison Cook-Davis, Arizona State University Dr. Alison Cook-Davis is Assistant Director for Program Evaluation at the Arizona State University’s Office of Evaluation and Educational Effectiveness (UOEEE). She has a BA in Psychology, MS in So- cial Psychology, MLS Legal Studies, and a Ph.D. in Experimental Social Psychology. Prior to joining UOEEE, she supported the research and program evaluation efforts of Maricopa County Adult Proba- tion Department, coordinated and executed the research and
results is on events andforces emerging from the primary character and the setting. Images and themes in the partici-pants’ responses become a tool in uncovering hidden interpersonal perceptions not typicallyfound in other, more quantitative research tools. Debate exists concerning whether the meas-ure reflects how individuals perceive themselves, how they perceive others, how they actuallybehave, norms, stereotypes, bias or some combination of these possibilities, yet experts agreethat the TAT is capable of capturing images not likely to be expressed with other techniques[10].Emotion Scale (PANAS): Mood ReportThe second measure, supplementing the story results, is a short version of the PANAS multi-ple-item, two factor scale that ensures content
. Findingsindicated design neurocognition differed when problem-solving versus designing, particularly inthe sketching task, as indicated by transformed power and task-related power within the EEGreadings.4.3 Current use of other techniques in the study of ED&CGWhile not a primary talking point of this paper, a notable investigation with the use of functionalnear infrared spectroscopy (fNIRS) is worthy of mention. This technique works via theabsorption or reflection of hemoglobin in certain areas of the brain. Researchers in [64] utilizedfNIRS to investigate the neurological differences in freshman and senior-level engineeringstudents during an engineering design brainstorm. Even though this study did not look at thenovelty of ideas generated, this study
some additional maker-technologies like the ShopBot, and troubleshoot student projectsin progress. Further, as it often takes multiple academic years for a project to be optimallyeffective, we would like to return to past participants and encourage them to update their Cardsto reflect their project in its final form.AcknowledgementB-Fab workshops from 2017-2019 were offered with support from the Kern EntrepreneurialEngineering Network (KEEN).References1. Prince M (2004) Does active learning work? A review of the research. Journal of Engineering Education 93(3):223–231. Available at: https://doi.org/10.1002/ j.2168-9830.2004.tb00809.x.2. Deslauriers L, McCarty LS, Miller K, Callaghan K, Kestin G (2019) Measuring actual learning
ofteam 6 shared responsibility on the project and each made a substantive contribution to theoutcome: “Each member knew the assigned content assigned to him/her and I couldn't be morethrilled about how the delivery went.” Another example is team 11. One member wrote: “Ourteam members are not afraid to bring up ideas and or concerns during the project period. Wewere able to compromise on conflicts.”Teams in Group 2 evidenced weak TD and low IE. Teams 4, 5 and 7 fit into this category.Survey comments from this group reflected persistent challenges with Team Dynamics: “We hadone team member that didn't do too much and what he did do was last minute. That was a bitdifficult to work around,” and “We all did well when we worked together, but it was
time, the time of day the lecture is offered,and the switch to a different open response system might have all contributed to an increase inknowledge gain. In addition, the instructor was more experienced with the implementation ofthe pedagogy.EML activities are going to continue to be drafted, improved, and implemented into othersections of the course. This includes topics such as transmission line theory, magneto-statics,time-varying fields, plane-wave propagation, and wave reflection and transmission. The authoris not aware of a concept inventory that can be applied to measure knowledge gain in the areasrelevant to engineering electromagnetics. The CUE-CMR does facilitate the measuring ofknowledge gain in terms of conceptual electrostatics
a group of engineeringfaculty across the country and spearheaded by Ohio Northern University (ONU) “to moreaccurately reflect the ONU brand of the KEEN framework" and to allow more faculty to “feelcomfortable incorporating entrepreneurial content into their courses” [5]. As an expandedframework, eKSO contains 55 objectives, unlike KSO’s 18.EMLOAfter reviewing the KSO framework, the faculty at The Ohio State University sought to usebackward design to create a new set of learning objectives, the Entrepreneurial Mindset LearningObjectives (EMLO) that included more specific objectives and focused on integrating EM intothe curriculum throughout the different stages of a student’s college career. One of the uniqueaspects of this approach was the
trend of usage with noon being thebusiest time. In fall 2018, the hours of operation were from 11:00 AM until 10:00 PM. Thesehours were changed to 8:00 AM to 7:00 PM based on how few visitors came to the makerspaceat night. In fall 2019, the hours were changed again to reflect the current hours of operationwhich are 10:00 AM to 5:30 PM. Figure 6 shows both fall 2018 and spring 2018 hours ofoperation and the number of visitors during each open hour. Number of Visitors During Open Hours Fall 2018 Spring 2019 350 300 Number of Visitors 250 200 150
and the breakdown of each assignment in the project (i.e. market analysis, business model…) • It was cool • The project was interesting and realistic data collection process was good to experience • Let’s you reflect on what I’ve learned • I liked the real world applications and going over data analysis techniques • It was well rounded, showed another side to research • I liked how we went through the whole process in regards to creating and running a study • Benefited senior project exploration, technical writing and formatting skills • Working on real world problems • Project based class • I liked how we had freedom to decide what we wanted to do for our human performance project, it
reviews are to be used by your instructor as an aid in determining your individual and group teamwork scores. Do not discuss how you have scored each other. Confidentiality is needed to ensure scores reflect performance and not personal relationships among team members. CATEGORY 4 3 2 1Working with Others Almost always listens to, Usually listens to, Often listens to, shares Rarely listens to, shares shares with, and shares, with, and with, and supports the with, and supports the supports the efforts of supports the efforts of
judges. We provide tablets, orjudges can use their phones or other electronic devices to rank and score the pitches. The scoresremain hidden during the competition. With anonymity guaranteed, the judges are unafraid touse the entire range of the scoring card: 1 - 10. The scoring form not only lists the category, butalso a small explanation reminder to enable consistent scoring. A score of 10 reflects the highestachievement. The team can get a maximum score of 50. There are five overall categories toevaluate the delivery and content of a pitch. • Presentation: verbal, non-verbal and ownership of the pitch. A “read straight from the script” situation is valued at the lowest score of 1; on the other end, a true “evangelist
forimprovement. Similar to typical engineering classes, the instructor tends to assess the activity byquizzing the technical content but often ignores the instant feedback about the activity itself aswell as the emotional aspects, i.e. “Do you enjoy this activity?” We solicit information fromstudents about improvement of teaching towards the end of semester, but this would seldom focuson one particular activity and thus not add on much value. We recognize the importance of timelyfeedback after the activity. If a student notices his/her input is valued and taken into redesign theactivity, the feeling of ownership [22] may enhance the engagement.Student response to active learning is reflected in the question set 2[1] summarized in Table 4.Overall
Paper ID #30141Integrating Entrepreneurial Mindset in a Multidisciplinary Course onEngineering Design and Technical CommunicationDr. Kevin D. Dahm, Rowan University Kevin Dahm is a Professor of Chemical Engineering at Rowan University. He earned his BS from Worces- ter Polytechnic Institute (92) and his PhD from Massachusetts Institute of Technology (98). He has pub- lished two books, ”Fundamentals of Chemical Engineering Thermodynamics” and ”Interpreting Diffuse Reflectance and Transmittance.” He has also published papers on effective use of simulation in engineer- ing, teaching design and engineering economics, and
sufficient justification. X d. Collects feedback and data from many customers and customer segments. X e. Recognize and explore knowledge gaps. XCuriosity f. Critically observes surroundings to recognize opportunity. g. View problems with an open mindset and explore opportunities with passion. 1. h. Be able to self-reflect and evaluate preconceived ideas, thoughts, and accepted solutions. X i. Explores multiple solution paths