learningcommunity (FLC) with a local two-year institution to foster a collaborative community andsupport faculty in adopting APEX materials, which included helping them to consider, plan,apply, and reflect on effective practices for integrating computing into their courses. Buildingupon these pilot efforts, we are actively expanding adoption of the APEX program in severalways. First, we have begun holding summer and winter training workshops for faculty at severaladditional community colleges. Second, we are refining and improving the FLC experience aswe initiate new FLCs with these institutional partners. Finally, we will continue to assess theprogram’s efficacy through a research plan that evaluates student and faculty experiences,allowing us to optimize
pandemic.There is some research on the learning of geospatial technology and spatiotemporal computingskills which focused on high school [3], [4]. There are only a few papers on college students [7],[8], [9], and a few on the challenges of learning in developing countries [10]. Very few focus onthe virtual internship learning environment [11], [12], [13, [9]. There is no study at present onspatiotemporal computing skills for 2-year associate degree students. In addition, there is noresearch on the impact of remote or virtual internships on spatiotemporal GIS learning during thepandemic. Our study fills that gap and provides an urgent assessment for internships during thepandemic.During the pandemic, with the financial support of the NSF START grant, 2
risk of damaging physical equipment or injuring themselves. This allows students tofocus on the development and testing of their projects without the fear of costly mistakes.The rest of the paper is organized as follows: Section 2 introduces RRBot – a two-link robot armused for the project-based assignments – and details the set up of its necessary toolchain in ROSand Gazebo. Section 3 provides an overview of the objectives and technical content covered in thesix project-based assignments, along with the results and performance attained in each assignment.Section 4 offers a comprehensive analysis of the student learning outcomes through the presentationof performance metrics and evaluations, aimed at assessing the efficacy of the proposed
evaluationoutcomes. To date, much of our work has focused on formative feedback and the annual review process.Moving forward we plan to also develop processes for incorporating the teaching evaluation process intotenure and promotion reviews. We are also working on the development of a rubric, which is based on onecreated by Kansas University (Follmer et al., 2020), to make it easier for the Dean to assess the teachingeffectiveness of a large number of faculty members.ReferencesAAU (2022). “AAU to Establish Learning Communities on Effective Teaching Evaluation.” https://www.aau.edu/newsroom/press-releases/aau-establish-learning-community-effective-teaching-e valuation.Boring, A., Ottoboni, K., & Stark, P.B. (2016). “Student evaluations of teaching
, students begin with blinking a LED and the use of digitalports on the Arduino board, then integrate a potentiometer to control the blink rate, a photocell andthe Serial Monitor to learn how analogue ports work. From there they are introduced to RGBLEDs. The final assessment has the students complete a challenge project of making a holidaylights string that can blink at varying rates and colors and turn on and off when it is dark or lightout. In project 2, students are introduced to a piezoelectric speaker, button use, an LCD and atemperature sensor. In the final assessment students work to create a thermostat with feedbackmessages. In project 3, motor controllers, motors, servos and an ultrasonic distance sensor areintroduced. The final assessment
and quizzesa few days in advance as you would if they were in-person were of particular importance. Manystudents also appreciated now having recorded lectures due to the online learning environment,not just to provide flexibility if a synchronous class was missed, but to rewatch to getclarification on confusing topics and review prior to assessments. Recommendations related towell-being were also discussed by students such as spending time away from the computerscreen when not doing school work, having fun, connecting with other students, and keeping apositive attitude.It is interesting to note that the following Fall semester, students and faculty were given thechoice to attend classes in-person or via Zoom as the COVID-19 pandemic continued
data storage. The bottom entry in Table 1 doeshighlight an immediate outcome of the initial survey response Caucus skillsidentification discussion. The manufacturers involved in the Additive ManufacturingIndustry 4.0 Technology environment indicated that their activities went well beyondcommon tasks associated with 3D printing and they preferred to group additive andthe classical subtractive operations as part of advanced materials manipulations.This paper’s authors concur with that assessment and do not attempt to isolate aspecific subset of technician skills that would be considered unique to additivemanufacturing. The table does not priorities the skill groupings, but it does listidentified technologies, blue italics print, with their
, September). Soft skills for science and technology students: A pedagogical experience. In 2015 International Conference on Interactive Collaborative Learning (ICL) (pp. 1198-1202). IEEE.Craps, S., Pinxten, M., Saunders, G., Leandro Cruz, M., Gaughan, K., & Langie, G. (2017). Professional roles and employability of future engineers. In Proceedings of the 45th sefi annual conference 2017-education excellence for sustainability, sefi 2017 (pp. 499-507). European Society for Engineering Education SEFI.Gibbs, G., & Simpson, C. (2005). Conditions under which assessment supports students’ learning. Learning and teaching in higher education, (1), 3-31.Itani, M., & Srour, I. (2016). Engineering students
future research direction can be to follow up with conference attendees toevaluate and assess long-term impacts of the conference materials, resources, and communityconnections on their efforts to pursue, persist, and prevail in computing/EmTech education andcareer.AcknowledgementsThis material is based upon work supported by the National Science Foundation, under GrantNo. 1932662 & 1953431. Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the authors and do not necessarily reflect the views of theNational Science Foundation.References[1] U.S. Department of Labor. Covid-19 Impact, 2020, [Online]. Available: https://www.dol.gov/sites/dolgov/files/OPA/newsreleases/ui-claims/20201453.pdf[2] A
Education ConclusionA computer simulation laboratory is an alternative approach to establishing a reallaboratory. Such a laboratory has a significant advantage over a real laboratory becausethe capability to upgrade and update software packages to emulate the real one is mucheasier and cheaper than replacing the equipment found in a real laboratory.We have designed different lab assignments. The lab assignments include analog anddigital modulation techniques, the design of fiber optic links along with studying thecorrelation between the physical characteristics of the link and the transmitted signal, andthe design of different network topologies.To provide an initial assessment, the communication lab
]. This study is important to assess he magnetoelastic Villari effect whichdeals with the change in the magnetization of a soft magnetic material due to mechanical stress.Osterloh and his associates at the University of California in Davis [13] discovered thatnanowires made of lithium, molybdenum and selenium atoms show changes in electricalresistance up to 200 % when exposed to vapors of organic solvents. By attaching chemicalgroups to the nanowires they could modify the sensor to measure the acidity of a solution. Ananomaterials research and development company [14] is involved in using nanostructure insensors made with conventional materials such as tin oxide, to enhance the performance of thesensors. It is also involved with federal
: Learning Factors Used in the Affect Survey 1. I gain factual knowledge (terminology, classifications, methods, trends). 2. I learn conceptual principles, generalizations, and/or theories. 3. I get a chance to talk to other students and explain my ideas to them. 4. I am encouraged to frequently evaluate and assess my own work. 5. I learn to apply course materials to improve my own thinking, problem solving, and decision making skills 6. I develop specific skills, competencies, and points of view needed by professionals in the field. 7. I acquire interpersonal skills in working with others in the class.The results of these pre-post affect surveys are given in Tables 8 to 11 for the Iron Cross (IC),Virtual Biomechanics Laboratory (VBL), Jumping
electrical circuits using appropriate CAD tools. Thegeneral criteria for basic level programs includes; students; program educationalobjectives; program outcome and assessments; professional component; faculty;facilities; institutional support; and program criteria [1]. In this paper we address theprofessional component in the electrical engineering program.The professional component requires that the engineering graduate should be exposedand involved in a major and practical engineering accomplishment to facilitate his/hertransition to practice in a real world engineering projects. The major design experienceshould utilize engineering standards and various constraints. These constraints include:economic, environmental, manufacturability, ethical
such as female and/or minority students?DataMultiple data sets were used to investigate the research questions. Two primary repositories ofdata were accessed including the national PLTW dataset provided by PLTW and the TexasEducation Research Center (ERC) data housed at UT Austin. The ERC houses education andworkforce data for the state of Texas. Data sets included the following: • National PLTW panel dataset covering 2008 to present that indicated whether a school offered a PLTW program and the type of program adopted. • Demographic, Course Information, and Outcome files • STAAR Test Scores files (Texas State Assessment for grades 3-12) • Texas Higher Education Coordinating Board College Graduation filesSampleWe examined
water quality assessment, water and wastewater treatment, emerging organic pollutants, and ecotoxicology. He holds a B.Sc. in Food Chemistry from the National University of Mexico, and a Ph.D. in Environmental Engineering from the University of Maryland, College Park.Kristin Lewis, American Association for the Advancement of Science (AAAS) Kristin Lewis is a project director with the American Association for the Advancement of Science where she leads the Mass Media Science & Engineering Fellowship. Previously, she supported the development of the Fourth National Climate Assessment with the U.S. Global Change Research Program, and she holds a Ph.D. in Physics from the University of Michigan.Ms. Supraja N. Kumar
high need to improve success rates.On the Omaha campus, students spent a week reviewing pre-requisite materials before a quizover that content was administered. Students who scored below the designated threshold werethen offered (and strongly encouraged) to participate in additional review and targetedremediation in Assessment and Learning in Knowledge Spaces (ALEKS), an online tutoring andassessment program [9]. Table 1. shows results of the CRA exam from the Fall 2021 semester,showing the need to support students in these courses who did not pass the CRA exam.In the Spring 2022 semester, results of the CRA exam at the beginning of the semester weregiven to the retention and student success coordinator and an intervention was applied to
every week for 50 minutes per meeting. While the official coursedescription states that it consists of three weekly lectures with no laboratory components, theinstructor lectures twice a week while reserving the third class meeting for an active learning inclass project session where students implement the concepts they have learned about in the twolectures in that week.The student performance will be assessed via three different categories: 1. Weekly assignments: every week, students will be given homework problems pertaining to the lecture contents. In addition, students will have to implement a programming assignment during the third class meeting every week. Students will submit a weekly assignment including the solved
exchange ofideas on senior design course assessment and outcomes between the two institutions.Functional surfaces are the requirement of several industrial and engineering applications.Specifically, surface patterning with metallic structures is an important tool for differentbiomedical [1] and engineering applications [2]. Traditional patterning techniques such as so ftlithography [3], microcontact printing [4] or stencil micropatterning [5] have been used tofabricate microstructures, however, they require expensive tooling and multi-step processeswhich increase the fabrication time. With the recent advancement in additive manufacturingtechniques, considerable efforts have been demonstrated to pattern desired structures on differentsurfaces [6-8
upon that with topics on functions, file I/O,pointers, arrays, and sorting algorithms. As the students progress, they are required to writeincreasingly complex programs often with an engineering application.The second path is being piloted in the 2021-2022 school year and is showing promise, but it hasbecome apparent that not all the students who need the slower paced courses correctly chose thatpath. Many students were overly confident in their abilities and mistakenly enrolled in the fasterpaced Path One.The Parachute OptionWithout placement testing, there is no guarantee that all students will be placed in the bestcourses to ensure their success. Given the burden of testing, it was decided to allow students toself-assess and choose between
system. In addition to the STEM outreach program for middle andhigh school students the laboratory will engage undergraduate and graduate students in researchon RTI. The STEM project experiences described in this paper will be delivered to local areamiddle and high school students in spring this year. The details of the STEM outreach activitiesand learning outcomes assessment will form the subject matter of a future ASEE paper. Proceedings of the 2022 ASEE North Central Section Conference Copyright © 2022, American Society for Engineering Education 5Bibliography[1] P. Agrawal and N. Patwari, “Correlated Link Shadow Fading in Multi- Hop Wireless Networks,” IEEE Trans. On Wireless Comm
5th International Conference on Mathematics, Science, and Education 2019, vol. 1321, no. 3: IOP Publishing, p. 032121.[6] M. B. Donia, T. A. O’Neill, and S. Brutus, “The longitudinal effects of peer feedback in the development and transfer of student teamwork skills,” Learning and Individual Differences, vol. 61, pp. 87-98, 2018.[7] D. F. Baker, “Peer assessment in small groups: A comparison of methods,” Journal of Management Education, vol. 32, no. 2, pp. 183-209, 2008.[8] D. Meulbroek, D. Ferguson, M. Ohland, and F. Berry, “Forming more effective teams using CATME teammaker and the gale-shapley algorithm,” in IEEE Frontiers in Education Conference (FIE), 2019: IEEE, pp. 1-5.[9] R. A. Layton, M. L
to teach data science in aerospace engineering.References[1] Yilmaz, N., Atmanli, A. (2017). Sustainable alternative fuels in aviation. Energy, 140(2), pp.1378-1386.[2] ICAO Carbon Emissions Calculator Methodology, Version 11, June 2018. https://www.icao.int/environmental- protection/CarbonOffset/Documents/Methodology%20ICAO%20Carbon%20Calculator_ v11-2018.pdf[3] Kim, B., Fleming, G., Balasubramanian, S., Malwitz, A., Lee, J., Ruggiero, J., Waitz, I., Klima, K., Stouffer, V., Long, D., Kostiuk, P., Locke, M., Holsclaw, C., Morales, A., McQueen, E., & Gillette, W. (2005, September). Sage Version 1.5 Technical Manual. System for assessing aviation's global emissions (SAGE) incorporated into the
for Engineering Education, 2021 Relating Senior Project Time on Task to Student ScoresAbstractIt is the shared belief amongst a majority of faculty based on anecdotal data that time on taskshould be proportional to the achieved score in senior project. The monitoring of student time ontask by instructors could potentially allow for a more rapid and focused feedback to students atrisk. However, due to the large number of different projects in the past, it was not feasible toclearly assess whether time on task would equate to score achieved. For the first time during thepast year, the engineering capstone course at the current institute had a significant number ofstudents engaged in similar projects. This presented a unique
pedagogical practices and an understanding ofhow engineering students learn [4]. These arguments have been posed by many engineeringeducation professionals alike [27]. It is not just useful to understand whether students engaged ina course. That sort of thinking does not allow one to assess whether students are actually learning[28] and whether they will have the skills necessary to take on the grandest challenges ofengineering [29]. Such practices also do not engage whether students are achieving success inengineering academically and cognitively/affectively, and further, whether those students willcontinue onward in engineering [30]. These sorts of issues may all influence the future of NDMengineering education research and must be considered.In
products are listed as statements suchas “part is smooth with no burrs or sharp edges.” For each corresponding statement, a mark ismade reflecting where students’ work falls on this proficiency scale. These scales transparently 4telegraph the standards of excellence students should strive to achieve. At the end of eachassignment, students assess the work of their peers, identifying aspects of each product thatthey either like or would want to improve. This process is random and anonymized so studentsdo not immediately know whose work they are evaluating. This is designed to help studentsdevelop a critical eye for both giving and
, audio/videorecordings, student work and surveys); on our six years of collaborative engagement with thedepartment faculty; and on our ability to provide sufficient description that readers can followour interpretations [33]. Each researcher independently reviewed data, then we discussed andmerged interpretations.ResultsWe summarize design problems presented to students enrolled in first year through junior corechemical engineering courses, along with the instructors’ assessment of its impacts, based onstudent engagement and performance. We evaluate each design problem using the proposedframework. We note if the design problem was discarded or significantly revised.Edible Car (Discarded)The edible car problem, according to the instructor, served
receive cash prizes for their performance in the expo. In thepast, this event has been held in person with hundreds of attendees. During the summer and fallsemesters of 2020, a different solution was created to allow students to showcase their projects,for which the virtual, interactive conferencing platform was utilized. The platform workedsimilarly as for the early project presentation and social mixer sessions, with the students actingas the project presenters at each table instead of the projects being pitched to the students [14].Judges and attendees can go from table to table, assessing the projects and learning more aboutwhat the students worked on during the semester. Judges, attendees, and students joined theexposition with unique links
shared goal”but conceived leadership as a role where she would assess students’ leadership in class byevaluating the team leaders. Her evaluation of leadership in class was focused on those who hadleadership roles in team projects. Regardless of their industry experience, faculty members hadvarying definitions of leadership and opposing views of requiring leadership education forstudents’ career preparation.DiscussionThis study explored faculty members’ perceptions of engineering students’ leadershipdevelopment for their career preparation. The findings of this study indicate that facultymembers perceived students as being under-prepared for the professional skills required inengineering careers. They also believed that students obtain and
diversity and inclusion in STEM, intersectionality, teamwork and communication skills, assessment, and identity construction. Her teaching philosophy focuses on student centered approaches such as culturally relevant pedagogy. Dr. Cross’ complimentary professional activities promote inclusive excellence through collaboration. American c Society for Engineering Education, 2021 Work in Progress: Faculty Motivation and Barriers for Engineering Education ResearchIntroductionFounded in the synergy of theoretical scholarship and practical application, engineeringeducation research (EER) supports high quality education for students to be maintained byconnections between
”includes service activities in which faculty of color often are expected to participate, such asequity and diversity committees and mentoring students of color (Griffin & Reddick, 2011;Turner, 2003). An overly extensive amount of time spent on these activities can interfere withteaching and research (Chadiha et al., 2014; Stanley, 2006). This in effect slows the progressionof early-career faculty of color in meeting their career goals and achieving important scholarlymilestones, subsequently reducing the possibility of earning tenure (Aguirre, 2000; Baez, 1999;Tierney & Bensimon, 1996).When considering cross-race mentoring, Tillman (2001) studied the value of mentoring forfaculty of color by assessing the experiences of 10 early-career