curriculum (four days). Figure 3 shows changes in these measurespre- and post- implementation. Figure 3. Pilot data collected on day 1 and day 4 of a soft robotics implementation (n=10 students).Reflections on Pilot Study, ChangesImplementation Student participants were focused and engaged in the activities. We received feedbackon the survey in a prompt asking, “Is there anything else you’d like to tell us?”. One student commented,“I really enjoyed all of the activities from the week. They were very engaging and informative.” Anotherstudent noted the desire for similar activities at their school, saying, “I really enjoyed the class, wereally need something like this at [school name].” In addition to students generally being interested inthe
. Fig. 3. The leaning tower of Pisa3.3. Pedagogical ActivitiesTo engage students, the suggested pedagogical activities include: 1. Discussion of tipping and footprint concepts – Reflective discussion can help students to understand the two approaches clearly, and when and how to apply them to their lives. These discussions can be constructive for students who need help with the retention and application of information. 2. Demonstration of tipping, even applying forces on the table in the classroom to using an elastic band to capture the geometry of the footprint, can help students to retain the concept. 3. Design projects foster the ability to formulate, ideate, experiment, and learn from concrete
questions. Table 1: EIs and Associated Themes Engagement Indicators Themes Higher-Order Learning Academic Challenge Reflective and Integrative Learning Learning Strategies Quantitative Reasoning Collaborative Learning Learning with Peers Discussions with Diverse Others Student-Faculty Interaction Experiences with Faculty Effective Teaching Practices Quality of Interactions Campus Environment Supportive EnvironmentAfter EI scores
such as ADAaccommodators and tutoring staff were interviewed and brought up important issues andadvantages of take-home tests.Instructor RoleOne major advantage identified by the instructors is the ability to ask more interesting questions: “it allows us to be more flexible and ask questions that are perhaps a little bit more reflective of real engineering questions that students might encounter.” (Instructor 3)The allowance of more time on a test can be important as students are allowed to answer morecomplex questions that may be more representative of real-life problems. Additionally, it allowsinstructors to address higher levels of Bloom’s taxonomy, testing application and understandingof content instead of just memory. One
. ©American Society for Engineering Education, 2023 The development of an artificial intelligence classifier to automate assessment in large class settings: preliminary resultsAbstractThis evidence based practice paper presents preliminary results in using an artificialintelligence classifier to mark student assignments in a large class setting. The assessmenttask consists of an approximately 2000 word reflective essay that is produced underexamination conditions and submitted electronically. The marking is a simple pass/faildetermination, and no explicit feedback beyond the pass/fail grade is provided to the students.Each year around 1500 students complete this assignment, which places a significant andtime-constrained marking load
classification tool that is a 2x2 contingency table [9]. Thematrix can provide insight to the types of errors students are making. In this study, the confusion matrixprovides a convenient way to score question outcome (correct or incorrect) on the concept inventoryexam regarding student oral reasoning, as reflected in the transcribed student “think-alouds”. Ofcourse, the ideal outcome is a correct response with the correct oral reasoning (i.e., correct for the rightreasons). A correct answer can also occur with flawed oral reasoning. These two outcomes are the toprow of the confusion matrix in Table 1. If a student answers incorrectly, the student may have correct orincorrect reasoning. These two outcomes are the second row of the confusion matrix. The
Thinking into a Neural Engineering High School CurriculumAbstractEngineering design and computational thinking are critical to contemporary STEM research.This is reflected in the Next Generation Science Standards, which call for broadly exposingK-12 students to engineering design and computational thinking as core practices. Thedevelopment and investigation of pathways to successfully integrate these practices in all sciencedisciplines are presently limited. Here, we propose a framework for efficiently connectingcomputational thinking practices with engineering design, and describe a four weekNGSS-congruent module that strategically weaves opportunities for high school life sciencestudents to apply engineering design and
use all the tools acquired in their undergraduateprograms. Simultaneously, students can contribute to one of the goals of society through researchand development of emergency housing in Puerto Rico [4] The paper presents the instructionaldesign, results, and evaluation of the Design-Build course, and finally reflects about lessons learnedand relevance of this type of interdisciplinary learning scenario.2. Methods and Results. 2.1. Method / Semester Project.The design project consisted of conceptualizing a group of emergency houses. Four smallliving units with the same floor plan, interconnected by a central open space where thepersons will be able to interact and develop a sense of community. These small units areexpected to be self
et al., 2008; Christensen and Schunn, 2007;Davis and Sumara 2006; Grinter, 1956; Jonassen, 2000; NAE, 2004; Silk and Schunn, 2008).Proposed ApproachThe central idea in this proposed approach is to have students work on two parallel projects, oneis the technical redesign of simple kitchen appliances (e.g., a toaster), and the other the design oftheir academic path (i.e., courses to take, extracurricular activities, habits, skills, etc.). While thestudents work on these two parallel projects, a periodical intervention will help them connect thetechnical approaches to their academic project. For example, using journals and reflection tounderstand how students had to frame a problem, ask for help, evaluate options, and decide toimprove a toaster
participates in a one-credit class, ENGR 291. Learningobjectives for the course include: • Articulate different definitions and related sub-themes that could comprise peer advising, peer mentoring, interpersonal communication, and leadership soft skills. • Evaluate current level of development in soft skills and develop a plan for future reflection, evaluation, and adjustment to said skills. • Demonstrate effectiveness as an Engineering Peer Advising Leader and build confidence in providing advising assistance to engineering students. • Articulate familiarity with different resources and involvement opportunities in the College of Engineering and campus-wide opportunities and
Jared Markunas who assisted in the development of the survey that will inform the engagementguide prototype.References[1] D. R. Fisher, A. Bagiati, and S. Sarma, “Developing Professional Skills in Undergraduate Engineering Students Through Cocurricular Involvement,” J. Stud. Aff. Res. Pract., vol. 54, no. 3, pp. 286–302, Jul. 2017, doi: 10.1080/19496591.2017.1289097.[2] G. Young, D. B. Knight, and D. R. Simmons, “Co-curricular experiences link to nontechnical skill development for African-American engineers: Communication, teamwork, professionalism, lifelong learning, and reflective behavior skills,” in 2014 IEEE Frontiers in Education Conference (FIE) Proceedings, Madrid, Spain, Oct. 2014, pp. 1–7. doi: 10.1109/FIE
adjacent activities context. Kirn & Bensonfound that students’ choices in the present, including how they solved engineering problems, wereconnected to how they thought about their futures. In our study, we wonder whether students’engineering-adjacent participation may also be connected to their FTP development. We anticipatethat a majority of Kirn & Benson’s interview questions [5], some of which we adapted to ourcurrent context while others were added or removed, will help us explore connections betweenstudents' current actions and their future goals. To better capture students’ actions, we havedeveloped interview questions to guide participants to reflect on their future goals, share theirpresent actions related to involvement in
useful subscales that associate with SRMDM. The revised instrument which wasdeveloped through several iterations (Orr, Martin, Ehlert, Brotherton, & Manning, 2021) (Ehlert,et al., 2019) is called the Multidimensional Inventory of Decision-Making Competency (MIDC)(Ehlert, et al., 2019).MIDC is based on four factors: Impulsivity, Avoidance, learning, and Information Gathering.Impulsivity encompasses making a decision without considering the consequences; Avoidancetargets refraining from making decisions for oneself and allowing other people (i.e. parents orfriends) to make decisions on their behalf; Learning focuses on reflecting on past decisions andInformation Gathering, which includes collecting information, assessing strategies
components: personal information management, personalknowledge internalization, personal wisdom creation, and interpersonal knowledge transferring.Information management consists of collecting, evaluating, and organizing information.Knowledge internalization includes analysis, learning, and reflection. Wisdom creation is ahigher order of thinking that adds problem-solving and creativity to the process. Finally,knowledge transfer includes sharing and communicating what was learned in the othercomponents.There are many overlapping concepts between PKM models and how Luhmann implemented hisZettelkasten. Jarche [4] offers the simplest model which is seek, sense, and share. The steps ineach system are key aspects of what faculty are expected to do for
, as we each brought our own disciplinarybiases and (mis)understanding/(mis)perception of writing and thinking. These disciplinary andconceptual differences were also reflected in our assessment expectations and rubric design. 4However, despite the challenges encountered, our meetings did serve as a space in which weentered critical dialogue with one another about what writing means, what thinking entails, themulti-dimensions of engineering problems, ethical decisions in problem solving, and anawareness of student limitations as well as our own limitations. We asked each other questionssuch as: is it ethical to expect our students to find solutions in a “writing,” non-technical, non
of Computing in EngineeringThe need to learn computer programming is well understood in some engineering disciplines; forothers, the application of programming is less evident (Arjmandi, Woo, Mankelow, Loho,Shahbaz, Auckaili, & Thambyah, 2023). Coding builds independence, computational thinking,and the ability to reflect on and critique one’s efforts (Siu, 2022). For example, when studentslearn to debug code, they are learning the process of finding solutions to their errors and beingable to view things through a critical problem-solving lens (Siu, 2022) … just the things thatengineers need to know how to do. Therefore, this course familiarizes students withmicrocontrollers, an integral part of many modern, technological devices, with a
, students were asked to complete the modulesin class in a self-paced activity. This self-paced format seemed to be a good fit for studentsexploring standards, with one student saying: Personally, I really preferred this type of module for AM standards over the typical lectures. Not to say that technical standards and AM standards aren't important, but it would be difficult to fully learn and understand them by just sitting through lectures about them. I thought the reflections and case study were the best activities to have gone through in the modules. Showing how to find standards and then trying to apply them and give reasoning to where they can be used was a good exercise, and made the overall topic
differences could be driven by other factors, such as characteristics ofparticipants in these groups, different environments or context that they face, among other things.Tech companies have for decades favored A/B tests to understand adoption choices bycustomers. They also conduct experiments to determine the most effective approaches formanaging people and maintaining a productive environment. An example is Lazear (2000) whostudied the impact of piece rates on productivity. The study estimated a 44% overallimprovement in productivity due to piece rates by gradually implementing a new compensationscheme. Around 22% of this was due to greater effort (the incentive effect), and the remaining22% reflected sorting (better new hires) or potentially some
create a community of practice in each of the majorcore classes in the second and third years of the curriculum (the first year is shared across all engineeringdegrees), with the goal of having at least one cycle of the Build-Test-Reflect-Share pedagogical cyclecarried out in each of these classes and the results widely disseminated by the end of the grant period.Additionally, we are conducting at least one educational retreat per year with the aim of further developinga departmental shared vision for teaching innovation. As the project continues, report-outs from establishedcommunities of practice will be given. Further, the department provides support for change by providingincentives to encourage early attempts at innovation and dissemination
realistic projects as part oftheir educational preparation. As early as 1997, engineering faculty were noted for using realproject sites for capstone projects. These were still typically simulations without engagementwith real client-stakeholders [1]. Service learning is a ‘credit-bearing, educational experience inwhich students participate in an organized service activity that meets identified community needsand reflect on the service activity in such a way as to gain further understanding of coursecontent, a broader appreciation of the discipline, and an enhanced sense of civic responsibility”[2]. Participation in service learning has been showing to positively impact various studentoutcomes including enhancing student curiosity, connecting
(n = 3) made it very apparent that stress Allowed for reflection (n = 2) was affecting me, but also that there were easy ways like meditation to manage it” Not Useful “… I only ever saw heart rate and Data was not meaningful (n = 8) pulse oxygen data which was not Already aware without device (n = 6) direct enough for me to feel it Data was inconsistent (n = 4) was showing the stress in my life.”Understanding Design FeaturesA majority of students (n = 55) found the devices to be helpful in gaining a better understandingof design features, with multiple students mentioning
need forindividuals with STEM degrees has led to large growth in STEM undergraduate studentnumbers. Post-recession STEM degrees awarded have increased by 43% from 2010 to 2019 [2].This need for STEM degrees is reflected in the strategic plan for the College of Engineering atthe University of Kentucky with a goal of adding nearly 43% more students to the Collegebetween 2019 and 2025. The success of transfer students through thoughtful and intentionaltransfer pathways is one way to diversify reach and obtain enrollment targets of the Universityand meet STEM occupational demand.The growth and need for STEM majors are well documented. This growth has not necessarilybeen experienced by underrepresented groups in STEM majors. Despite an increase in
pathways.University faculty quickly brainstormed the central tenants of the GOAL program which include:Intentional distribution to area public schools with targeted underrepresented groupsInexpensive physical components and a curriculum that introduces STEM conceptsAccess to materials and content in a way that is fun and accessible to all.Student engagement through independent physical exploration, instructional + group reflection,and design thinking.From the beginning, the GOAL program was aimed at maintaining pathways to expose under-represented and first-generation students to STEM and eventually pursue advanced education inthe field. This entails including populations that wouldn’t otherwise be exposed, and engagingaudiences that wouldn’t otherwise be
. Student Evaluation of Teaching (SET) results showed that more than70% of students found real-life pictures helpful in their learning and said that: “Real life examples showcased how theory applies in the world around us, making concepts more understandable” [2].Instructor built simple foam models to show design details and potential loadings and stresses.More than 80% of students reflected in SET data that these foam models very helpful in theirlearning. Figure 1 shows sample of real-life examples and foam models used in Mechanics ofMaterials course. (a) (b)Figure 1. a) Foam model displaying shearing stress in punching, b) Deflection in a cantileverbeam in a baby toyThe
utilizing a 6-point scale, participants are forced to either slightly agree orslightly disagree even in a neutral decision, potentially reflecting the respondent’s unconsciousbias [4]. In order to check for questions that participants were consistently unable to answer, aseventh “No basis for judgement” option was added. The survey also included 14 demographicquestions, including those on the following topics: age, length of enrollment, enrollment status,major, gender identity, race, ethnicity, first generation college attendee, and English as a firstlanguage. Demographic questions were purposefully placed at the end of the survey to avoidstereotype threat. Respondents were also asked to what extent their answers were affected by theongoing COVID
waterheater in essence a storage facility for hot water heated by the solar system.e) Roofing Products: The biggest recent advance in roofing products technology came with theadvent of the radiant barrier. This physical layer in the roofing system acts to reflect sunlightback out of the roofing system before the light can be trapped and converted into heat inside thebuilding envelope. The systems are simple to install, and only add slightly to initial buildingcosts.f) Motion Sensors: There has been a leaning towards the installation of motion sensors thatwould detect the presence of people. The development of these intelligent motion sensors wouldswitch on and off the lights depending upon the occupancy. Thus theses equipments can offersizeable
tool designed for assisting in careerguidance. The career-mapping tool aids students by offering career and learning styleassessments. The advising tool was designed by the College of Engineering at TexasTech University to provide assistance in career decision-making for students in theCollege. However, this guidance inventory can be effectively used by students in othercolleges and by high school and junior high school students. ObjectiveThis paper does not reflect research as is common in most journals but gives an accountof and evaluates the usefulness of E-COACH for high school students and high schoolcounselors. This paper has three objectives: 1. To report the results of the use of E-COACH
understand how this topic was integrated into thecurriculum. Some students commented it depended on the class. Other comments aboutadding more “real world” experiences were also given by the students. This is clearly anarea in which the curriculum can improve. EGO 10 covers a similar topic, contemporaryissues. The students commented that exposure to this topic should be increased in thecurriculum. They also said some professors are doing a better job than others. The sureycould identify an opportunity to learn from faculty that are already incorporatingcontemporary issues into their classes. EGOs 11 and 12 generally reflect the confidenceand exposure to situations that the students experienced. The comments centered onpossible software packages that
materials currently available to Texas technology teachers were prepared to support the implementation and support of the Technology Education TEKS. Having served their purpose, they should be revised to reflect the transition to the STEM Career Expressway model. New technologies and new learning paradigms are emerging that can significantly improve instruction, learning, and career choices8. As a result, we believe these materials should be evaluated based on a rigorous STEM rubric to determine if they facilitate progress in STEM education. Materials that do not meet these standards will be removed from circulation and professional development activities will no longer be offered to support these materials. With the creation of the
effect of this is a decrease in the convection heattransfer coefficient and a decrease in critical heat flux. After transition boiling, film boiling existsin which a layer of vapor begins to cover the surface completely and in turn increases the heat flux.It is also important to note that beyond the point where the critical heat flux is reached, burnoutoccurs when the excess temperature exceeds the melting point of the solid.Predicting nucleate pool boiling requires knowledge of the rate and number of surface nucleationsites during boiling. Nucleate pool boiling analysis has been shown to reflect the relationshipbetween the surface heat flux and the excess temperature. Within the free convection boilingregime, it is typical that the action of