, public speaking, sex education, effective use of internet, drug awareness, and a communication task verbal and non-verbal). These activities and presentations were strategically selected in order to provide the participants with an in-depth discussion to allow them to understand themselves better as they complete activities that provide an assessment of their likes/dislikes, their learning style(s), their overall level of motivation, career aspirations, self-esteem, etc. During each session, time was allowed to provide the participants the opportunity to engage in meaningful conversations regarding the different styles of leadership and career opportunity, as well as an opportunity to discover
innovation in teaching at WPI and supports course-based and program-level assessment of student learning outcomes.Ms. Suzanne Sontgerath, Worcester Polytechnic Institute Sontgerath holds a B.S. in Mechanical Engineering from Worcester Polytechnic Institute and an M.Ed. from Worcester State University. She is currently the Director of Pre-collegiate Outreach Programs at Worcester Polytechnic Institute. Sontgerath supervises K-12 STEM outreach programs at WPI including Camp Reach and several other summer and academic year programs for students and parents. c American Society for Engineering Education, 2017 A middle school engineering outreach program for girls
theprojects will be critical in future adaptations of similar projects in a classroom environment.Furthermore, since the projects are not tied to a course grade, students are less likely to beinhibited by failure or reward.An anonymous survey was conducted after completion of all the projects to assess the students’perceptions of learning and to obtain student feedback. Since the number of students involved inthese projects is relatively small, statistical analysis is not expected to be useful at this stage.Therefore, data collection has been limited to self-reporting and attitudinal measures. Although itis acknowledged that self-reporting has several limitations, it is useful for this study since itserves the role of a pilot. Once fully implemented
the most visible expectedeffect of these serious games, i.e. student performance improvements, will be observed whensuch games are administered in an undergraduate communications class.Purpose of the StudyThis quasi-experimental study’s purpose is to determine if using serious games as reinforcementmaterial for an undergraduate communications class enhances learning such that studentperformance in an online assessment structure improves. As part of a larger research grant, itserves as a small-scale pilot study to determine if any immediate improvements in contentmastery are achieved. Based on improvements in student performance using games in othersubjects (Hamari, Koivisto, and Sarsa 2014), it is hypothesized that there will be
authors hypothesized that by developing a tiered mentoring model that engages both theundergraduate and graduate students, student learning outcomes in both courses could be betterachieved.To test their hypothesis, the authors began by mapping student learning outcomes to the respectivecourse deliverables (i.e., final project submissions in the undergraduate course) which would laterbe assessed and compared against student performance from a prior semester. Next, the authorsdevised a plan in which students in the graduate-level course would be embedded into theundergraduate course as graduate mentors. The class sizes were such that this resulted inapproximately one graduate student being embedded into each design team of five
learningoutcomes and assessment, challenges and lessons learned, and recommendations for improvingthe course contents(both theory and lab) are also presented and discussed.IntroductionAdditive Manufacturing (AM) refers to a process by which digital 3D design data is used tobuild up a component in layers by depositing material. The term “3D printing” is increasinglyused as a synonym for AM. However, the latter is more accurate in that it describes aprofessional production technique which is clearly distinguished from conventional methods ofmaterial removal. Instead of milling a workpiece from solid block, for example, AM builds upcomponents layer by layer using materials which are available in fine powder form. A range ofdifferent metals, plastics, and
Results”, Proc. of 2016 Capstone Design Conference (2016).3. ASEE TUEE: Transforming Undergraduate Education in Engineering at http://tuee.asee.org/.4. Rogers, P., R. Freuler, The T-Shaped Engineer, Proc. of the 2015 ASEE Annual Conference (2015).5. Ntafos, S., “Internships, Other Employment, and Academics”, Proc. of the 2015 ASEE Annual Conference (2015).6. Balacio, C.C., Engineering Technology Workplace Competencies Provide Framework for Evaluation of Student Internships and Assessment of ETAC of ABET Program Outcomes, Proc. of the 2014 ASEE Annual Conference (2014).7. Dansberry, B.E., Examining Outcomes Data from an Undergraduate Internship Program, Proc. of 2012 ASEE Annual Conference (2012).8. Biasca, K.L., S, Hill, Assessment of
English at Rose-Hulman Institute of Technology. Her research areas include technical commu- nication, assessment, accreditation, and the development of change management strategies for faculty and staff. Her articles have appeared in the Journal of Engineering Education, International Journal of En- gineering Education, IEEE Transactions on Professional Communication, and Technical Communication Quarterly, among others. c American Society for Engineering Education, 2018 Lean LaunchPad® and Customer Discovery as a Form of Qualitative ResearchIn this theoretical paper, we highlight the scholarship of integration by exploring how customerdiscovery connects to
experi- ence working with many industries such as automotive, chemical distribution etc. on transportation and operations management projects. She works extensively with food banks and food pantries on supply chain management and logistics focused initiatives. Her graduate and undergraduate students are integral part of her service-learning based logistics classes. She teaches courses in strategic relationships among industrial distributors and distribution logistics. Her recent research focuses on engineering education and learning sciences with a focus on how to engage students better to prepare their minds for the future. Her other research interests include empirical studies to assess impact of good supply
that detects the variableoccupancy level can save 15% every month (May through September) of the required coolingload and of the power consumed. This figure can significantly double to higher values whenconsidering higher occupancy density spaces such as theaters, class rooms, and large meetingrooms.The project revealed high impact on the level of understanding for students. Studentsperformance and project outcomes were assessed against ABET learning outcomes: (a) applyknowledge, techniques and skills to engineering technology activities, (b) apply knowledge ofmathematics, science, and engineering to engineering technology programs, (c) Conduct tests,measurements, calibration and improve processes, (e) Problem Solving: ability to identify
between learning orientation and various measures of academic achievement; otherstudies, primarily in higher education, find the opposite [5]. It has been suggested that thedifference might lie in what type of assessments are used to measure academic achievement:learning orientation might be more related to open-ended projects, and performance orientationmight be more related to close-ended problems and multiple choice tests [7].Achievement orientation affects how we approach tasks, and what we think about failure withinthose tasks. Those with a high learning orientation might find small failures motivating,encouraging them to work harder to get better. Those with a high performance or performanceavoidance orientation might instead be encouraged
course topics into their graduate research and education. All students,including the undergraduate students, were tasked with watching the videos to diversify theirexposure to computational topics across the STEM disciplines represented among the students.To assess this, students were required to provide a substantive comment or question related to thevideo content for each video that they watched (brief comments such as “good job”—whilepositive and supportive—are not engaging nor do they provide evidence of watching, so studentswere instructed that these did not count towards the required number of comments). Figure 1: Sample student submission for Computational Assignment 5 in 2016.ResultsStudent PerformanceIn the three offerings of
faculty and students. After development, thestudents will pilot the module in a lecture or lab setting and gain valuable experience withundergraduates not in the program.Outreach to K-12: Each team will develop one K-12 outreach module over the course of theprogram. A crucial component of the outreach will be to encourage K-12 students to build criticalthinking and problem-solving skills. The K-12 students will also be introduced to the creativeapplication of new technology to solve problems. Each team will be encouraged to meet andinterview local experts to help assess the practicality and desirability of their MSPC projects. Successful implementation of interdisciplinary research-based learning would serve as amodel nation-wide and even
get to know each other and come up with a list of five things all of the members have in common, and then present this to the rest of the students. Our hope for this activity was that it would also get the students thinking about the project objective.We were pleased with the response from the students to these ice-breakers. The different teamsappeared to work well together, and all of the students contributed to the activities.Project ProposalsEach team was required to submit a proposal of their ideas one month into the project. Thisallowed us to check on their progress and assess any of the above concerns. Each team was todescribe four distinct project ideas in their proposals, and then indicate which one of the four wastheir
: FullPurchase with Cash, Lease Purchase and Purchase with Financing. For each option, the team calculatedthe Return on Investment (ROI).Project 2: Use of Gray Water in California [Barnhart, Orca and Worthy, 2011]This project explored the economic viability of wide-scale residential graywater use to alleviateCalifornia’s water resource challenges. Two main objectives of the project were to assess the graywaterconcepts, with its associated technologies and treatment systems, and review specific case studies for theeconomics of gray water.With the climate change dramatically affecting seasonal rains in California creating record droughtsduring this past decade, the state and cities are looking for various ways to reduce the use of potable waterby
machinelearning skills); 2) they must be data-savvy managers and analysts (have the ability to developthe right questions for analysis, interpret and challenge the results, and make the right decisions);and 3) they need the support of technology (to develop, implement, and maintain big datasoftware and hardware tools).This paper presents our experience with infusing, teaching, and assessing big data modules inundergraduate statistics and probability courses that have immersed students in real-world bigdata practices through active learning. Our courses walked students through producing workingsolutions by having them perform a series of hands-on big data exercises developed specificallyto apply cutting-edge industry techniques with each statistics and
courses such as electric circuit analysis that emphasize problem solving resulting in definitivenumerical answers, it is easy for students to “hide” their lack of understanding in a multitude offormulas. Within mathematics, the use of writing has been shown to be a powerful alternative as, written products provide a rich and extensive view of the mathematics that students know and their capabilities in applying that knowledge. Such assessment measures provide substantially more information than traditional measures, which frequently focus on the correctness of a single answer or response. Through writing, students record their thinking. Their products become a window into their cognitive processing while they are engaged in
work effectivelywith people from a radically different discipline than their own.Future Curricular WorkIn addition to these course materials that have been used in classes, additional classes are beingdeveloped including a course on “Community-based Participatory Engineering Apprenticeship,”“An Integrated Approach to Electrical Engineering,” “Cities, Communities, Organizations, andUrban Design using GIS,” and “An Integrated Approach to Energy” funded by an NSF IUSEgrant [16].Refocusing and future plansDuring the first three years of the grant, we used the services of an external evaluator. Theirprimary role was to summarize the work we had done and assess how we were progressingtowards the goals of the grant. An important element of their work
students is not well understood andis infrequently assessed [6] [7].CT has been characterized as a problem-solving process by ISTE with the following attributes:finding patterns in data, breaking a problem down into smaller parts, using technology toautomate the problem-solving process, strategies for organizing and searching data, creatingalgorithms, and using and developing new simulations of a wide variety of natural and designedsystems to make predictions, solve problems, test solutions, support claims, or craft scientificexplanations. To be a successful computational thinker, ISTE members have agreed on thedevelopment the following dispositions: confidence in dealing with complexity; persistence inworking with difficult problems; tolerance
have been presentedto corroborate the same.Mathematical Understanding of SurfaceQuantifying surface irregularities means assessing them by categorizing them by height, depth,and interval. They are then analyzed by a predetermined method and calculated per industrialquantities standards. The form and size of surface irregularities and the way the finished productwill be used determine if the surface roughness acts in a favorable or an unfavorable way.Painted surfaces should be easy for paint to stick to, while drive surfaces should rotate easily andresist wear. It is important to manage surface roughness so that it is suitable for the component interms of quality and performance. There are close to 100 different parameters for describingsurface
formal practices and informal experiences thatcontribute to leadership development to evaluate and improve existing programs and to provideguidance for the development of new programs [19-22].In this work, we are interested in beginning to understand the relationship between identity andleadership in undergraduate students. To do this, we apply Astin’s [23] model for assessing theimpact of college on student development. Commonly referred to as the I-E-O model (referring toinputs, environments/experiences, and outcomes). The I-E-O framework provides severalperceived outcomes of academic and cognitive development that reflect leadership identity. Whilethe focus of leadership outcomes does not entirely align with the I-E-O framework
& G. Walia & K. Dean. (2015). Missed expectations: Where CS students fall short in the software industry. CrossTalk. 28. 4-8.[2] R. Chang-lau and P. J. Clarke. Software engineering and programming cyberlearning environment (SEP-CyLE), 2018. https://stem-cyle.cis.fiu.edu/instances (retrieved Jan. 2018).[3] S. Deterding, D. Dixon,R. Khaled, and L. Nacke,(2011). “From game design elements to gamefulness: defining gamification”. In Proceedings of the 15th international academic MindTrek conference: Envisioning future media environments, pp 9-15.[4] G. D. Kuh, “Assessing what really matters to student learning inside the national survey of student engagement,” Change: Mag. Higher Learn., vol. 33, no. 3, pp
essay as an assignment to compare two cases of severe neglectresulting in major damages, where one company was fined and assessed for damages and theother was not. Students were encouraged to use reference sources, including the ABET Code ofEthics of Engineers [4] to provide both additional background information and evidence for theirdecisions. The cases involved First Energy, whose actions caused a major power outage in thenortheastern United States and Canada in 2003 (not fined or assessed for damages), andExxonMobil, which was responsible for a major oil spill in Alaska in 1989 (fined and assessedfor damages).ParticipantsThe participants were first year engineering students in two sections of the second semesterintroductory engineering
installations on a series of public sites fromaround the community to meet the energy demands of their campus with Energy3D, an open-source CAD tool. An example of some of the models teams could select from is shown in figure1. The composition of the teams is shown in table 1. The designs were assessed on meeting thespecified energy need (.4), cost-effectiveness (.4), cost (.1), and aesthetics (.1). Parentheticalvalues are the weight given to each criteria. Although four hours of orientation time wasexplicitly connected to working on the design challenge students could also work on it in theevening or early morning. Table 1 – Team Compositions Team Composition Team A
of physiological data to correlate with observations and are one ofthe most widely used mediums for accurately assessing complex emotional and psychologicalbehaviors of a user. Similar studies have used biometric sensors for the attainment of statisticalanalysis leading to highly unbiased results regarding implicit perspectives of race [4]. While self-reported actions and perceptions may differ from implicitly analyzed perspectives and tolerances[6], eye-tracking and other biometric utilizations allow for unbiased analysis of a person’spsychological personality through analysis of their body’s actions and behaviors when invokedby certain stimuli. This aids in conveying a medium of transparent observation into the mind ofthe subject. Adding
background informationand parental consent of their minor’s participation in the study. Although 1,125 studentscompleted the assessment, the IRB consented data reported in our analyses only includes 847participants who provided consent.This paper focuses on the survey components related to life skills and report of team processes.To measure Communication Skills and Group Work Skills, we leveraged Robinson and Zajicek's(2005) Youth Life Skills (YLS) Inventory, which was adapted from the Leadership SkillsInventory (Townsend & Carter, 2003) to be applicable for measuring skills of students who arein grades 3–5. The following table, Table 1, lists the questions that were asked of all the studentswith response options of either no (1), maybe (2), or
represented in Table 1 [6]given below: FROM TO READ WRITE MOVE 1 3 a a R 3 4 b b R 4 4 a a R 4 2 ∆ ∆ R Table 1 The Turing Machine for aba* is represented in a tabular formAn animated dynamic visualization of the Turing machine for aba* is provided on the followingwebsite: www.asethome.org/mathfoundations/tmd/. The website is used as a supplement for anintroductory onsite course on automata theory where the representations are explained. Towardsthe end of the course, students were given a brief survey for assessing
ofsufficient quality and intensity to influence intended outcomes. Example questions for theformative evaluation include “Were strategic recruitment strategies designed and implemented torecruit URM student participants?” and “To what extent do students participate in mentoring,informal events, family and community engagement efforts, and learningcommunities/advising?”. To answer these questions, process data were collected through projectdocuments, post-event participant surveys, attendance logs, and a focus group with observationsand interviews. The summative evaluation of the project focuses on assessing the research questions ofthe project to evaluate if the program reaches its intended outcomes; and how the differentintervention strategies
the next section was conducted on this dataset of 32 complete responses.Findings and DiscussionTable 1 summarizes the data we obtained from the BFI. Tables 2.a and 2.b present the summaryof the data we obtained from the SSCS and the CMS. Recall that creative self-efficacy (CSE) is ameasure of one’s belief that they can be creative, whereas creative personal identity (CPI) is ameasure of one’s belief that they are creative. Also recall that fixed mindset represents a view thatcreativity is innate whereas growth mindset represents a view that creativity is something that cangrow and develop overtime. These four constructs together are used to assess the impact of DTSDtraining. Summer 2019 Summer 2019
Ergonomic Design of Hand- Held Tools and Control Actuators – Visualized by some Real-Life Examples,” in Assessment of the Ergonomic Quality of Hand-Held Tools and Computer Input Devices, H. Strasser, Ed. Amsterdam: IOS Press, 2007, pp. 1-22. [Online]. Available: EBSCOhost eBook Collection. [Accessed: Jan. 21, 2019].[4] K. Kluth, D. Zühlke and H. Strasser, “Product-Ergonomic Evaluation of Diagonal Cutter Handles,” in Assessment of the Ergonomic Quality of Hand-Held Tools and Computer Input Devices, H. Strasser, Ed. Amsterdam: IOS Press, 2007, pp. 197-206. [Online]. Available: EBSCOhost eBook Collection. [Accessed: Jan. 21, 2019].[5] “Wire Cutting Machines Information,” www.globalspec.com, para. 1. [Online]. Available: https