. Incorrectanswers to this part and the number of instances include: wrong or missing units (4), no work(6), the wrong approach overall (8), and a calculation error (7). The students with no work andthe wrong approach overall are 32% of the students. Part B involved more analysis, and itappears the students did reasonably well. Incorrect answers to this part and the number ofinstances include: an inconsistent interpretation of the results in Part A (3), an argument basedon mass balance/a relatively small velocity as opposed to small kinetic energy terms (6), no work(7), and the wrong direction overall (2). The majority of the students were able to make thecorrect assessment in Part B that the results in Part A were negligibly small compared to theremaining
understanding ofthe processes and the network coordination between brain regions during thinking.Understanding the regions of activation in the brain required for conceptualizing a system, forexample, is important because we can begin to assess how learning enhances the temporalresponse (how fast we think) and how learning reduces the cognitive load (the energy required).This physiological data is also less susceptible to errors such as self-reporting. In essence, thatwhich was once an un-examinable black box can now be examined and in multiple conditions.Adopting Cognitive Neuroscience Techniques to Study Design CognitionMaking sense of brain-behavior relations is a search to understand the functional architectures ofcognitive systems (Coltheart, 2001
-cultural dimensions of pre-college engineering education. She received her M.A. and Ph.D. in Educational Studies from Emory University.Dr. Meltem Alemdar, Georgia Institute of Technology Dr. Meltem Alemdar is Associate Director and Senior Research Scientist at Georgia Tech’s Center for Education Integrating Science, Mathematics, and Computing (CEISMC). Dr. Alemdar has experience evaluating programs that fall under the umbrella of educational evaluation, including K-12 educational curricula, K-12 STEM programs after-school programs, and comprehensive school reform initiatives. Across these evaluations, she has used a variety of evaluation methods, ranging from a multi-level evalua- tion plan designed to assess program
, meaning that it is sometimes true, and sometimes not true,depending on the applicable context. Thus, context is another important factor to consider whenevaluating students’ reflective learning performance or ability.In the present study, we assess the extent to which students use reflective judgment when writingabout their experiences in a semester long introductory design course. Based on our theoreticalmodels, we hypothesized that students whose reflections acknowledge the role of context inlearning will additionally show a higher intellectual level of thinking over the course of thesemester, as well as earn a higher grade on successive assignments. Therefore, we wanted todetermine whether students’ ability to reflect on their experiences in
VRusers completed the task faster and with more correct answers than the desktop users. Althoughthis study did not directly assess the pedagogical efficiency of the immersive experience, itsupports the notion that VR is potentially useful in saving drilling class time by helping thestudents resolve spatially complicated problems quicker. Another study [12] explored wellplacement through VR where the users created vertical and free-form well paths in theimmersive environment. The application analyzed the connectivity of the new wellbore to thereservoir and estimated the amount of recovery associated to the new well. The results weredisplayed in the 3D environment as well as in a table summarizing the calculated values. Thestudy reported that the
. In the future,one might imagine successful modules being repurposed as part of continuing education in IoTfor practicing engineers. This would require modifications to the modules’ structure, deliveryand assessment, which are beyond the scope of the current effort. For now, with the goal ofrapid development and implementation, the focus is on existing courses with traditionalundergraduates.Teams will continue development after the workshop, facilitated by the UW System learningmanagement system, Canvas. This would make the modules broadly accessible across the UWSystem and serve as a first step toward broader dissemination of IoT-related topics inengineering curriculum.It should be noted that the term “IoT” as used here refers to the broader
provided an opportunity to ask questions and makeobservations related to how faculty delivered the material and how students interacted with thecontent. Notes were taken during all of the interviews and course observations.Study LimitationsThe primary limitation of the study is that it is not fully representative of every relevant practicecurrently in use within the department of study. The course materials from the Spring 2017ABET Review represent a snapshot in time and only included course components that could becaptured in paper form. Because of that partial view, it is important to note that the results of thestudy are not intended to be a complete assessment. They are intended to provide insight anddirection, not to identify faults or
/document review. Instruments developed and validated by similar NSF-funded projects(i.e., Assessing Women and Men in Engineering) will be used or modified for use in this project.Qualitative data will be coded and analyzed with the assistance of NVivo. Data will betriangulated to provide a more rigorous assessment of project impact. Summative evaluationwill assess implementation quality and impact and report progress to the National ScienceFoundation. Formative evaluation will track quantitative measurements (numbers andbackgrounds of participants, etc.) and also capture attitudinal data pre- and post-training, as wellas after CyberAmbassadors participants have returned to their roles as CI Professionals. Forexample, participants will be asked
faculty/staff team should meet to assess the program, recommend adjustments andprepare plans and initiate activities to start the next round of projects.ConclusionSan Antonio College has been a pioneer in establishing undergraduate research at communitycolleges. Its success has spawned other community colleges in our district to initiate in-houseresearch programs of their own. The San Antonio College undergraduate research program hasgrown tremendously since its humble beginnings as a summer-only program to a year-roundactivity; i.e., from 3 projects and 10 students in 2010 to 8 projects and 38 students in 2018. Thisexperiential learning program has provided substantial benefits to our STEM students to includeimproved retention, enhanced research
) strongly influenced by the solution manual, and an increased willingnessof students to submit (honest) work with an incorrect answer. Thus it seems that the newhomework policy is having an impact on the way in which students interact with solutionmanuals, guiding them towards more self-reliance as they attempt homework problems. In thiscontext, at least, the policy has been successful.Conclusions and recommendationsA new homework policy was developed in an attempt to shift students’ approach from a results-based mindset to a process-based mindset through the use of a metacognitive follow-up exerciseafter each homework set was returned to them. Although direct assessment of the impact of thischange on student learning outcomes was not possible
socioeconomicdata.Table 1. Program participants Category N % Graduation Year 2019 (Rising seniors) 27 42% 2020 (Rising Juniors) 33 52% 2021 (Rising Sophomores) 4 6% Program Site Chicago 11 17% Research Triangle Park 19 30% Silicon Valley 34 53%4.2 MeasuresEvaluation processes included a pre- and post-program survey and focus groups which werestratified by city-based cohorts. Survey assessment was administered prior to students leaving forthe summer, and the post-program survey was administered on a rolling basis, as Scholarscompleted their
: • Theory — Identify the required balances to be developed; • Data and Assumptions — Test different assumptions and data sources; • Solution procedure — Identify the solution path and understand the impact of approximations; and, • Extension — Understand the impact of assumptions on solution robustness.Surveys and Results In the past two years, students were invited to fill out a survey to assess their problemsolving confidence level, perceptions, and abilities at intervals during their studies. At this point,data has been collected for two successive cohorts. Cohort 1 was assessed at the beginning andend of Course B (winter term of their second year of study), and again at the beginning of the fallterm in their 3rd year of study
observations.Study LimitationsThe primary limitation of the study is that it is not fully representative of every relevant practicecurrently in use within the department of study. The course materials from the Spring 2017ABET Review represent a snapshot in time and only included course components that could becaptured in paper form. Because of that partial view, it is important to note that the results of thestudy are not intended to be a complete assessment. They are intended to provide insight anddirection, not to identify faults or weaknesses.A potential source of error within the study is associated with the strategy of classifying a highlydiverse collection of course materials according to theme. While every effort was made to defineprecise themes and
team forupdates and feedback (see “Project Assessment” section below for more details on thisfeedback). Goal 2, Primary High School Partner: This goal was accomplished during the first year of the project, as the Bossier Parish School for Technology & Innovative Learning (BPSTIL) was added
verse Breakdown Effects Junction Breakdown, pp. 100The assessment results collected in this study are based on instructor observations and a surveycompleted by students at the end of the semester. Instructor observations are summarized in theDiscussion section following each exploration. These observations are based on input from thelaboratory teaching assistants and course instructors. The survey (Appendix A) results are basedon the responses of over 100 students. The survey was conducted at the end-of-semester andsought student impressions of their self-learning after having completed or observed all of thenon-idealities laboratory explorations.Experiment 1: Thermal Effects on PN junction diode MOSFETConducted in groups of 2 or 3
Paper ID #29669Collaboration Patterns and Design Practices in First-Year Project-BasedEngineeringHa Nguyen, University of California-Irvine Ha Nguyen is a PhD student studying systems thinking and collaborative learning in STEM.Dr. Liang Li Wu, University of California, Irvine Liang (Lily) Wu is the Director of Academic Innovation, Programs at the Henry Samueli School of En- gineering, University of California, Irvine. Dr. Wu is responsible for implementing, overseeing and assessing the first-year engineering program and international programs to enhance and support the engi- neering education at the School of
theintentions of the curriculum designers. Curriculum guides the desired learning objectives,however it does not necessarily represent the actual applied curriculum 20 or the way that studentsexperience it. Some suggest that curriculum design decisions are often based on “opinions,intuitions, and personal preferences” 16,21 . This highlights the importance of “a fairly accuratepicture of the real curriculum” 20 , constructed through evidence-based practices 21 .Curriculum mapping is one of such practices that can be used as a process to discover “what isactually being taught, how long it is being taught, and the match between what is being taught and[what is being assessed]” 15 . Auvinen et al. further describes it as relating course contents
electrical and computer engineering, agent-based modeling of educational systems, and advancing quantitative and fully integrated mixed methods.Dustin Grote Dustin currently serves as the Graduate Research Assistant for the Virginia Tech Network for Engineer- ing Transfer Students (VT-NETS) Program with the Engineering Education Department at Virginia Poly- technic Institute and State University. His research focuses primarily on access issues for underrepre- sented/minority and low income students to bachelor degrees through community college pathways, cur- ricular complexity for transfer pathways into engineering, higher education policy as barriers to access, and assessment and evaluation in a higher education context
research methods. However, more work is necessary tomeasure, understand, and enhance the readiness of engineering faculty and students to conductEER around the globe. The current paper begins to accomplish this goal through the developmentand validation of an instrument to measure engineering education research self-efficacy (EERSE).The EERSE instrument will aid institutions in providing the resources, trainings, and workshopsnecessary to produce faculty, graduate students, and researchers who can conduct high qualityEER-based research. Individual researchers can also use the instrument to self-assess their owncapabilities in conducting EER.The literature suggests a direct relationship between scholarly productivity and research self-efficacy in
2017 summer program at the University of Pittsburgh, and both a quantitativeand qualitative assessment of the program’s effectiveness as it was perceived by the attendingstudents.History of the FEEDER ConsotiumThe FEEDER Consortium is one of three national DTTCs (Distributed Technology TrainingCenters) funded by Department of Energy, and it consists of twelve universities, eighteenutilities, seventeen industry partners and two national labs. Its mission is to significantly advanceengineering capability to accelerate the deployment of distributed power systems technologiesthrough well-designed and complementary research, development, testing, analysis, andevaluation, supporting innovative and highly collaborative education of the current and
. Mendívil. Fostering Spatial Visualization ThroughAugmented Reality in Calculus Learning. In 2015 ASEE Annual Conference & Exposition, Seattle, Washington.https://peer.asee.org/24129[15] M. C. Linn and A. C. Petersen. Emergence and characterization of sex differences in spatial ability: A meta-analysis. Child development, pp. 1479-1498, 1985.[16] D. F. Lohman. Spatial ability and g. Human abilities: Their nature and measurement, 97, 116, 1996.[17] G. Marunić and V. Glažar. Improvement and assessment of spatial ability in engineering education.Engineering Review, 34(2), pp. 139-150, 2014.[18] H. Kaufmann and D. Schmalstieg. Mathematics and geometry education with collaborative augmented reality.Computers & graphics, 27(3), pp. 339-345, 2003
which this upgrade was implemented is required of all engineering majors and providesa foundation in the mathematical modeling and analysis of signals and of linear time-invariantsystems. The laboratory component of the course utilizes applications of signal processing tomotivate the breadth of the field which includes filters, AM modulation, and Nyquist samplingtheory. The MATLAB R Audio System ToolboxTM implemented in this study replaces both theTMS320C6713 DSK (225 MHz) development board and the more recently examinedBeagleboard-xM (1 GHz) board. Comparisons are made between these three platforms.This study was carried out by assessing both student and instructor observations and laboratorycompletion time using the Audio System Toolbox
) in the shortest period of time (3) usingthe fewest resources, and (4) with the greatest fit with existing processes and practices in theirdepartments. They tracked their recruitment activities and their departments’ admissions andenrollment data to assess, to a degree, how effective these practices are, and to redesign oramend strategies as needed in a formative way.Initially, fifteen institutions participated in the ES-UP program over the two-year period, buteight schools did not provide complete recruitment and retention data in time for this analysisand are thus not included. The sample profile consists of seven universities that offer bachelor’sdegrees in CS. Each university is designated as a “research university” with “high” or
.” (ID 03, File 03)Related to the second sub-research question, the authors assessed if gender or level of courseinfluenced students’ perspectives. While it was difficult to assess any changes in perspectivesfor the Technical Communication course for students’ perspectives, it was interesting to notehow the instructors’ perspectives regarding the social and systemic sources did not mirrorstudents’ perspectives on such. This is contrary to what studies on professional engineeringcourses have suggested in its role at improving engineering students’ perspectives of theimplicit and explicit requirements of their profession [32]. It is possible that the instructors’gender compared to the student population (majority male) could have a role on this
Indianapolis (IUPUI). 1) Reciprocal partnerships and processes shape the community activities and course design. 2) Community activities enhance academic content, course design, and assignments. 3) Civic competencies (knowledge, skills, disposition, and behavior) are well integrated into student learning. 4) Diversity of interactions and dialogue with others across difference occurs regularly in the course. 5) Critical reflection is well integrated into student learning 6) Assessment is used for course improvement.While each community project comes with its specific set of advantages and disadvantages,evaluating reciprocity before engaging with a community partner has the potential to alleviateconflict for the duration of the project
gender. They also modified their project so it can now store students completeinformation through student Object in array and display them as required.6. EvaluationOur curriculum was offered to 30 students as an experiment to determine if visual programmingcould really help middle school students’ transition to textual object-oriented languagesuccessfully. The primary goal of the course was to teach students programming fundamentalsthrough experiential learning so they are better at internalizing various structures of programming.For evaluation, we conducted a formal assessment at the end of the both courses to determineparticipants’ knowledge of various programming structures. Pre and Post Surveys were also givenfor self-assessment of students
manyothers), students have demonstrated better, clearer understanding of difficult concepts. Eventhough this was not an official assessment, based on similar experience that was gained andassessed by the author multiple times in other engineering related subjects (Control Systems,Digital Signal Processing, Computer Algorithms, and Physics), it is believed that the approachhas a great potential.1 IntroductionThis paper introduces some ideas for explaining engineering-related mathematical concepts bylinking them to daily experiences. The focus is on visual and intuitive experience-basedexplanations in calculus, i.e., integration and differentiation, as well as on first order differentialequations. Concepts are connected by analogy to real-life
division bylaws;• developed and circulated newsletters on Diversity Committee efforts;• worked with the ASEE Board of Directors to get Figure 1. Example of Footsteps from approval for and to institutionalize the ASEE Best 2017 Annual Conference Diversity Paper;• piloted the footsteps project, where large stickers were placed on the floor throughout the convention center in Indianapolis in high traffic spaces (see Figure 3);• created the call for papers and an assessment tool for the ASEE Best Diversity Paper; and• worked with ASEE information technology staff to identify potential papers within the paper review
implementation atadditional German universities. The focus of the evaluation lies on a comparison of theparticipants' assessments of their skills and abilities before and after their participation in theEWB Challenge. This work in progress paper explains the structure of this evaluation in detail. 1. IntroductionThe German university teaching system has been in constant change since the Bologna reform(a European-wide process to ensure coherent and comparable education qualifications). It isbecoming increasingly important to intensify the learning process, improve learning outcomesand ultimately improve the quality of teaching (Hochschulforum Digitalisierung 2016).Furthermore, concepts such as the "Third Mission" are on the rise: the idea of
progress, and provided a venue for diagnosing misconceptionsthat may be developing in the student. Following the homework review, the instructor presentednew material, worked on problems jointly with the student, and made sure the homeworkobjectives were clear to the student. The student’s progress was assessed with a mid-term andfinal, which tested for the same skills developed in the homework.During each session, the instructor kept notes on a laptop to track the student’s progress andpotential difficulties. These notes were indexed to the in-class materials and the reviewedhomework, which were both retained as study data. The student’s homework and exams werealso retained as data.The studentThe student was born with minimal eyesight, never had