and student’sacademic performance.As the SI program’s effectiveness is aimed at reducing the the D’s, F’s, W’s and Q drop rates(DFWQ%) rates in first year engineering courses and in turn retain more students to the ECEprogram, the collaborators have collected multiple types of data, including students’ SI sessionattendance and grade outcome in the course, students’ demographic data, and DFWQ% rates forattendees and non-attendees. As mentioned in the limitations section, the voluntary nature of theprogram does create some difficulty in making a direct link between higher SI attendance andstudent success. We, therefore, used SAT scores to group students with similar high schoolpreparation, for a more accurate reflection of the effects of SI
goals. It is important to define achievable and reasonable rubrics thatthe students can follow and achieve successfully. Those rubrics can be structured as theobjectives of the project that should reflect a safe and successful environment where students are encouraged to participate instead of feeling embarrassed. It should promote an interesting andrelevant experience, as well, where the students are allowed to fully engage in a professional roleto fulfill the goal they are working on.In this paper, two project-based activities are discussed along with their impact on sophomoreand junior students’ performance. The new structured course grades were compared totraditionally taught class environment grades. The comparison allowed assessment of
, we iteratively tested our "humble" learning theory under real-world conditions [32]. Specifically, we sought to investigate how design challenges that arecontextual, current, relevant, and reflective of professional practice can support students toengage in ethical reasoning by being scaffolded to consider diverse stakeholder needs. Thedesign challenges were not client driven, but were specifically developed to have an authenticfeel and clear stakeholders. To guide our investigation, we posed the following questions: 1. What kinds of ethical reasoning do students demonstrate in their final project pitches? 2. Do the kinds of ethical reasoning vary by design challenge type (community-focused versus entrepreneurial)?Setting
campregistration is free, with the instruction and materials support paid for by the NSF ERC program.Out-of-state students who need to stay on campus could do so by paying a room-and-board fee.To apply, a student needs two letters of recommendation. If qualified, a student would beadmitted on a first-come first-serve basis. For the past 3 years, the student population hasconsisted of 70% of male and 30% of female.3.2. Structure of ActivitiesOne of the aims of the camp is to reflect the research activities in the CURENT ERC. However,it would be impractical to cover the CURENT research activities in great technical details, whichare the products of graduate student research. As such, the instructors mostly provideintroductory materials to the camp students
disconnect from the vacuum, but I just remembered that was part of the vacuum.”Indicating that at the time of the in-class activity, students did draw from their previousknowledge to formulate a mental model of the engineered system, but in reflection, the studentsrealize that their mental model is either incomplete or false. Here one can hope that studentsfollow the path of enrichment as described by Vosniadou [6] to append their mental model toinclude the remainder of the information not originally recognized as a part of the system.Most of the interviewees assumed that the mental model activity must be similar to theircoursework, as demonstrated in the following response. “I say that um with my engineering 101 class [Engineering
leadership identity that could be further tested using structural equationmodeling.Significant results were also observed among engineering fields and institutional characteristics.Students in computer engineering and electrical/electronics engineering scored significantly loweron the leadership construct than mechanical engineering students. Students who attendedinstitutions where women comprise a higher percentage of engineering students scored higher onthe leadership construct. It does make sense that some differences among engineering fields mightbe observed, reflecting cultural differences among engineering fields. In terms of the latter finding,it’s encouraging that attending a program with higher gender diversity might indirectly
, including the positionand rotation of all devices, measuring tools, pen-strokes and buttons pressed. This deep-loggingis expected to be increasingly useful as a means for students and instructors to reflect on pastperformance, and potentially to automatically analyze real-time problem-solving behavior. Itcan also be used as an efficient way to watch a recorded lecture from an arbitrary viewingperspective, as was proposed in [13]. The whiteboard diagrams and writing could also be savedas artifacts of the analysis.5. Pilot StudyThough presented above as a sequential process, in truth, the hardware, user interface, andapplication were developed together, largely in parallel from an initial idea that collaboration anddrawing were important for real
presentations in global engineering ed- ucation at several national conferences. Scott is an active member in the Center for the Integration of Research, Teaching, and Learning (CIRTL) both locally and nationally, as well as the American Society for Engineering Education (ASEE) and the Institute of Industrial and Systems Engineers (IISE).Dr. 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
the time it took for the eggsto stop, thus decreasing the possibly damaging impact force. These topics were eventually moreformally assessed on a subsequent hour exam.In addition to responding to the activity showcased in Figure 2, the students were also asked torate their confidence levels in terms of the responses they had written to the question posed.Students were asked to rate their confidence levels on a scale from 1 – 5. A confidence levelrating of 1 reflected that the students had very little confidence in their response. A 5 ratingindicated that they were very confident in their response. Providing a confidence level ratingwas the second new twist to the free-writing activities.The next section will begin with an analysis showcasing
teaching effectiveness and student achievement. The TAP evaluation involves classroom observations, coaching, and feedback/reflection for professional growth. Kara has worked with 60+ student teachers in various subjects at the pre-K through 12th grade level, and conducted over 100 TAP classroom observations. Since the fall of 2016, Kara has been working with the JTFD Project, an NSF grant working to improve active learning in engineering education. She has completed 300 RTOP classroom observations in ASU engineering courses (civil, environmental, construction, chemical, aero/mechanical, materials, transporta- tion, and biomedical engineering). The RTOP or Reformed Teaching Observation Protocol, is a rubric designed
resolved by considering thatthe sampled data is no longer real-valued but instead complex-valued, with separate real andimaginary components. Hence, there are actually two data elements per sample, and with twicethe data, it is possible to obtain Hz of signal bandwidth while sampling at Hz. Note thatsince the time-based data is no longer real-valued, the resulting spectrum is no longer conjugatesymmetric such that the center frequency is not a center reflective point. The developer needsto be cognizant of this fact when processing signals, in particular, when isolating signals andapplying symmetric filters or converting the complex-valued signal into a real-valued (floating-point format).Signals used in SDR processing are normally complex in
-world engineering problems, the value of the toolis easily understood by students.The course design also tries to introduce students to some of the more cutting edge technologiesto allow them to feel that their efforts have current relevance. Students discuss data analysis andmanipulate data from real data sets such as water level monitoring from local streams or foodsafety data for baby food. They also build a reflective light sensor, gather data and use a simplemachine learning tool to make and train a roughness sensor shown in Figure 3. From thesemodest activities they are introduced to the fields of Artificial intelligence and Big Data.Figure 3: Example of a sensor built by students in Fundamentals of Computing. The sensorconsists of a
instruction, she spent twelve years teaching K-5 and enrichment at the elementary level. In 2010, Kara began teaching courses and supervising student teachers at ASU. Kara is TAP certified, an evaluation system designed to improve teaching effectiveness and student achievement. The TAP evaluation involves classroom observations, coaching, and feedback/reflection for professional growth. Kara has worked with 60+ student teachers in various subjects at the pre-K through 12th grade level, and conducted over 100 TAP classroom observations. Since the fall of 2016, Kara has been working with the JTFD Project, an NSF grant working to improve active learning in engineering education. She has completed 300 RTOP classroom
qualitativeinterview-based student perspectives from the fall 2018 semester are described in this work-in-progress paper. In conjunction with further qualitative data collection, a variety of survey anddirect assessment data from the entire two-semester course will be analyzed at the conclusion ofthe spring 2019 semester.Collecting qualitative data regarding student perspectives about working on interdisciplinaryteams allowed us to view students’ attitudes and self-reflections on their team experiences. Basedon the instructor’s own goals and literature-based reported gains [11] in interdisciplinaryteamwork, we were initially interested in how students perceived their team’s ability to beinnovative, identify customer needs, and receive rapid clinical feedback
Dictionary Wordscould not simply select the most common feedback (e.g. “good” or “great work”) because it didnot add meaningful information. Instead, we cut through the noise by selecting unique words andphrases that provided rich meaning but were used frequently enough to be matched. Table 2 showssome sample dictionary key words. Questions and answers were created from the selected wordsand phrases and grouped based on the category under which they best fit (Section 4.3). Every ques-tion has three answers with the exception of overall score, which has eight. Answers were chosento provide the maximum possible semantic distance between choices. For the third iteration of thereview algorithm, answers were chosen to reflect the question weight of 0
Manufacturingindustrial segments. For each industrial segment, two engineers were invited to engage in face-to-face qualitative interviews. Interview is one of the most important sources of evidences incase studies and is commonly found in this research design (Yin, 2017). At the time when theinterviews occurred, all participant engineers were working in senior leadership positions,ranging from managers to directors, and had between 15 and 34 years of professional experience.Purposeful and convenience sampling (Creswell, 2013) were utilized in the process of selectingthese engineers, since participants were identified from the alumni pool of Utah State University.In this study, interviews with practicing engineers were expected to reflect their
as part the observed PK team exchanges. Oscar’s parentsimmigrated to the US from the Mexican side of the border and Genesis spent her childhoodthere. Alicia, who was open about her daily border crossing experiences, also faced jokes aboutMexico and Alicia’s hometown during teamwork activities. In sum, it seems that team PK’smonoglossic language ideologies and behavior may have reflected a larger trend in perspectivesabout Mexico and Mexicans in circulation in the US at the time (2017-2018).Intersections of Gender and Ethnicity As the findings above show, the choice of language may have signaled to participants aparticular language ideology. However, ideologies about language intersected with ideologiesabout gender in ways that
them would be very reflective of the problem they were asked to solve. Othersworked the problem on paper and consulted the video only when unsure about a step, orsometimes to confirm that their approach was correct.Observation 2: High-achieving students watched the video during the experiment lessFigure 3 shows fixation time and dynamics course grade as a function of performance on theproblem completed during the laboratory experiment. There is a visible cluster of students whoperformed well in the course, performed well on the experimental problem, and had low fixationtime. This observation is consistent with the notion that high-achieving students need fewerinstructional supports than other students—this is why they are high achieving. Even
performed for the project helped in professional readiness. I have frequently performed such comparisons when selecting components such as servo motors and controllers [b]. ” • “All of the members of the group brought different skill sets to the project. This was a benefit as it bought several viewpoints. Working in an engineering field requires much of the same collaboration [c].” • “I have found the design process for this project to have reflected actual engineering design progressions in professional experience since graduation [a, b]. This class was valuable not so much for the technical skills practiced, but in gaining a level of experience and trust in the structured design process as a tool
, or reliance on the prospective member to take initiative toparticipate. Earlier work identified the fallacy of the open recruiting narrative.20 Formalrecruitment procedures are by-passed in favor of network friendships, excluding those who donot have high levels of cultural and social capital. Even though teams recruited at college ofengineering-wide events, they continued to be populated primarily by white male ME studentswith pre-existing friendships and other connections. Due to the effects of homophily andtransitivity (explained earlier), both team membership and leadership were limited to a cadre ofstudents with high social capital.19, 20 The survey results presented here reflect the samehomogenizing influences.Persistence barriers
). Categories not relevant to active orinteractive pedagogies removed from original framework. Lecture and guided practice categories added.These strategy descriptions were used to create survey items for student self-report measures(example items are including in the measures section below). The first six instructionalapproaches align with Chi’s (2009) descriptions of interactive learning, and the last two alignwith Chi’s (2009) descriptions of active learning. Although not entirely comprehensiveaccording to more recent accounts (Borrego, et al., 2013), the categories likely reflect manyforms of instructional strategies students engage with in their engineering courses and can beused to conduct a multidimensional examination of classroom
described was not incentivized by agency or ERDCfunding of the UPRM. The origin of the initiative was federal government policy tostrive for a workforce with demographics reflective of the national population orreflective of the demographics of the population of engineers and scientists. Laws,policy, executive orders and regulations encouraged recruitment strategies for allgovernment organizations to ameliorate the disparity that exists for underrepresentedgroups in any government organization. A compilation of the metrics documentedthroughout the paper forms the framework for the partnership assessment. Table 10summarizes eight activities along with a metric for each activity and a column thatprovides the authors evaluation of the benefit (either
deviate from the design cycle. For example,instead of developing prototypes that provided solutions to problems, the teacher generatedengineering lessons evolved to a focus on building models of processes (e.g., the sprouting of aseed) or tinkering to make a product, without documentation, testing, evaluation, or redesign aspart of the process. While students were engaged in these activities, many of the lessons werenot aligned with basic engineering principles and design, but did involve hands-on building of aproduct or tool in response to provided criteria. However, the notion that engaging students inhands-on activities to build something as engineering reflects a limited understanding of trueengineering design.36 The research of Nadelson et
reflecting on what’s working and not .3,4 By taking action on important initiatives ABET’s leaders have demonstrated the innovative spirit they promote in engineering programs. As an example, reference recent changes to the Criterion 2 assessment requirement. With this in mind, now is the time to engage the activated community in a discussion aimed at re-designing the processes inherent in program evaluation. The confluence of opportunity, culture, and timing all make this a great time to take up the opportunity and engage the question “what needs changed and how best can we do it?” Consider the historical context of engineering accreditation. History of ABET and Engineering
social impact-focused programs werethe most likely to emphasize organizational forms of leadership (although not to anextreme), possibly reflecting a broader systems view of engineering’s potentialcontribution to society.Cluster 3 – Influencing core curriculumThe third and final cluster that was observable included the two programs explicitlyfocused on engaging all engineering students in leadership education. This involvesfaculty buy-in and relationships with key administrators that are fundamentally differentto developing small, targeted programs using self-selection mechanisms to recruitparticipants. Given the focus on undergraduate students, both of these programs are usinga wider range of strategies: teaching mandatory courses on leadership
stepsfor solving problems: (1) define the problem, (2) gather pertinent information, (3) generatemultiple solutions, (4) analyze and select a solution, and (5) test and implement the solution.Pappas [36] stated that in order to solve engineering design problems, students require the use ofcreative critical thinking approaches that include: reflection, writing as thinking, visualization,unstructured brainstorming, and understanding the nature of “intentional change” in personalgrowth.Despite the proliferation of definitions, frameworks, and step-by-step approaches for problemsolving, there is a consensus regarding some of the important skills associated with effectiveproblem solving. It seems that all the approaches identify that effective problem
reported for eachsubscale19 (see below). There are different reports about the acceptable values of alpha, rangingfrom 0.70 to 0.9520.Theory of Cultural Development is based on the work of Robert Kegan21 who argued that aspeople grow they are engaged in meaning making. People rely on their thinking, feeling, andrelating with others in forming their life journey. King and Magolda have refined these domainsin describing students in their social-cultural development during their college years, and call thisdevelopmental view “intercultural maturity6,22. The subscales in the GPI that reflect the theory ofcultural development are: Cognitive – Knowing (α = .66); Intrapersonal – Identity (α = .74); and Interpersonal – Social
conduct quantitative and qualitative analysis on students’activity participation by asking students to reflect on their experiences and performing the sameanalysis that has been performed on the activities after the students complete their first semester.The authors are particularly interested in understanding if introducing students to Chickering’sstudent development theory will cause more diversity in students’ choices of what vectors theyparticipate in. The authors plan on expanding the submission form students use to report theirparticipation to include self-reporting of what vectors they believe they engaged in and an areafor students to comment and reflect on their experience.ConclusionStudent development in the first year is complex and
NTIDcommunity and faculty’s professional development plans. The Connectivity series at RIT issupporting the goals of the AdvanceRIT project by removing barriers to resources that supportcareer success and creating new interventions and resources.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grants0811076 and #1209115. The researchers wishes to express their gratitude for the support of thisproject. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the authors and do not necessarily reflect the views of the National ScienceFoundation.References1. Hill, C.; Corbett, C.; Rose, A., Why so few. American Association of University Women: Washington D.C
- ing philosophy and literacy. In particular how such literacy and competency are reflected in curricular and student activities. c American Society for Engineering Education, 2016An Exercise to Promote and Assess Critical Thinking in Sociotechnical ContextThis work addresses a practical means to more clearly link the completion of an ABET-accredited undergraduate engineering degree with critical thinking about sociotechnicalissues. An exercise has been created which can be used to develop and measure an aspectof critical thinking by engineering students in a sociotechnical context. This exercise canbe used as one possible measurement of the ability of an engineering student todemonstrate attainment of ABET