courses in remote formats [2-3]. These courses and labs are critical to STEM educationas they facilitate the development of planning, problem-solving, analytical, and communicationskills [4]. At the undergraduate level, many alternatives to traditional (in-person) instructionallab experiments have been considered, including simulations, provided data sets for analysis bystudents, experiments that use materials that can be found at home (or easily procured), and kitscontaining the necessary materials to conduct experiments at home [2-3]. The at-home optionsare especially interesting as they preserve the hands-on nature of traditional instructionalexperiments [3] while also allowing for more flexibility relative [5] to the schedule-restrictednature
help in building targeted strategies to address the identified challenges andtake actions which are tailored to the true needs of students. Hence the goal of this study was to examinethe engineering students’ diverse perspectives about diversity, inclusion, and equity at a Southeasternuniversity in the United States. The university has been focusing on enhancing the diversity, inclusion andequity on campus as part of a broader initiative laid out in the university’s strategic plan. To achieve thisgoal, although challenging, it is critical that young students are given a safe space to share their views withrespect, acceptance, and tolerance and without any fear of repercussions. This inclusion ofmultiple perspectives from students with diverse
-identify as belongingin their respective STEM fields and have higher self-efficacy, both of which are linked topersistence in STEM fields [5], [6]. Mentees also have “increased job satisfaction, higher salary,faster promotion, firmer career plans, and the increased probability that a protégé will alsobecome a mentor” [7, p. 204]. Also, those who identified as having mentors reported more careermobility, recognition, satisfaction, and promotions in their corporate jobs [8]. In addition tobenefitting all students, mentoring is recognized as a mechanism that has been shown to supportthe persistence and success of historically marginalized students in STEM through providingrelevant resources, psychosocial support, and fostering identity development [5
work in teams of four. You may work with people in either lab section, however, youshould make sure that everyone is present for data collection.GoalYou work for a company where your boss has just given you an assignment of developing a newdevice. You need to submit a document to her to justify your plan and ideas for moving forward.1. Propose a new or alternative biomedical device or implant of your choosing. This devicemust serve a specific purpose and must require data that can be acquired in our lab. Some general categories of topics are: ● Orthopedics (hip, knee, etc.) ● Cartilage ● Tendon/ligamentsHowever, we are very open to your ideas so, go wild.2. Perform a biomechanics analysis3. Collect relevant
well-thought setup with calibrated sensors, such that, the data acquired by the students could serve asmodel data.The current pilot study has some limitations. The survey results included responses from only asubset of the entire student body in the course. Therefore, the results could include bias, and theyshould only be considered as providing emergent themes to suggest further study. We plan tocontinue to assess the utility and feasibility of the course design and further determine the impacton students in future research.CONCLUSIONSThis study was a first trial of an IoT powered student activity for engineering experimentation atour institution. The learning outcomes were relatively low level and only included the use oftools rather than
processes with a 98% rate in STEM major retention, 65% ofthe EECO scholars needed referrals to psychological counseling services, and 54% got involve inresearch. This project emphasizes the importance of developing and implementing an ecosystemof support that includes academic and socioemotional support systems, and the validity of theadage that financial aid alone cannot increase student success. Most outcomes for establishedgoals have been reached, meeting or surpassing accomplishment levels indicated in theevaluation plan. For Goal 1, data shows that financial support has been provided consistently tosupport the Scholars to complete their degrees. In fact, during the first two years of the Project,twenty-one (21) Scholars finished their degrees
can tell when someone hasn't talked for a few minutes. Using Miro, students feel comfortable doing nothing. The only one who noticed was myself, because I wrote most. Miro was helpful for planning and brainstorming ideas but using it for designing wasn't as effective as say a Zoom call. It was very beneficial to get a starting concept, but after that wasn't the most useful. One complaint I would have is that importing and formatting those sketches and graphics in Miro was quite difficult and frustrating at times. Ultimately, we were using Miro to present a cleaned-up version of our analysis. Most of the backend work took place over Google Docs or Zoom, as we found those platforms easier to use. Some
convenient access to prototyping until they are able to access their physical Arduinokit. Using a virtual tool to work on the functional electronics portion of a team design projectallows multiple team members to see and experiment collaboratively with the sensors, actuators,and code, without having to be in the same physical space sharing and re-writing a physical kit.The use of the virtual tool proved useful in team collaboration in the design and planning stagesof team prototyping. Typical student responses to the open ended question that conveyed theconvenience and team collaboration factors include:“I liked having this as an option in case I was studying or doing work somewhere where it wouldbe inconvenient to carry around my whole Arduino kit
up of multiple assessmentstoward the end of the semester. The authors have been happy with the initial results of theimplementation of competency-based learning plan to continue using the approach in futureofferings. Providing timely feedback using automatic grading or more structured gradingapproaches will be implemented as well. In addition, the next offering of the class will have bothan in-person section and an online section, and the authors expect to be able to differentiate theeffect of competency based learning in different learning settings.References[1] N. Okamoto, “Implementing competency-based assessment in an undergraduate thermodynamics course,” in ASEE Annual Conference and Exposition, Conference Proceedings
a continuous assessment tool for the teacher.However, also some teaching outcomes related to generic skills were planned as built-in features;for instance, promotion of the students’ academic literacy practices and information retrievalskills are among the learning objectives of the course [8]. In this paper, academic literacy refersto social, cultural and contextual practices associated with academic study (e.g., practices ofacademic writing), and the student’s ability to apply these literacy practices (e.g., reading andwriting of scientific papers) [9,10,11]. Based on the principles of situated learning [12], thetargeted generic skills are best trained in the appropriate social and material context, in this case,on the course.Most of the
cognition Conflict Appreciating Goal orientation Planning and Conceptual management others organizing thinking Diplomacy Employee Personal Project Creativity andCompetencies development accountability management innovation Influencing Interpersonal Self-starting Time and Futuristic others skills priority thinking management Leadership Teamwork Resiliency Customer focus Problem
-Dusseau. Operating Systems: Three Easy Pieces. Arpaci-Dusseau Books, 1.00 edition, August 2018. [4] Chanyeol Yoo, Sam Lensgraf, Robert Fitch, Lee Clemon, and Ramgopal Mettu. Toward optimal fdm toolpath planning with monte carlo tree search. In Proceedings of the 2016 IEEE International Conference on Robotics and Automation (ICRA), Best Automation Paper Award, pages 4037–4043, 05 2016. doi: 10.1109/ICRA40945.2020.9196945. [5] Tyler Schlichenmeyer, Mei Wang, Carola Wenk, and J. Brown. Autofocus optimization for tracking tissue surface topography in large-area mosaicking structured illumination microscopy. Frontiers in Optics, FiO 2014, 10 2014. doi: 10.1364/FIO.2014.FM4F.3. [6] H. Kimbrell D. Tulman-T.S. Schlichenmeyer C
College of Science and Engineering at Uni- versidad San Francisco de Quito USFQ. He holds a BS in Civil Engineering from USFQ, an M.Sc. in Construction Engineering and Project Management from Iowa State University as a Fulbright Scholar, a Ph.D. in Civil Engineering from Virginia Tech, and two Graduate Certificates from Virginia Tech in Engi- neering Education and Future Professoriate. MiguelAndr´es’s research includes sustainable infrastructure design and planning, smart and resilient cities, and the development of engineers who not only have strong technical and practical knowledge but the social awareness and agency to address global humanitarian, environmental, and social justice challenges. For him, social justice
rated for difficulty and discrimination.We found that most questions had a difficulty index above 0.20 (hard), with 9 of 19 questionsbetween 0.20 and 0.80. These results imply that we should give this concept inventory anotheriteration to determine whether some questions need to be made difficult.The discrimination index of most questions (16 of 19) was found to be at least low-acceptable(greater than 0.25). Three questions did not discriminate well between high and low scorers.While we feel these questions are important, we will continue to monitor the results and to considerpossible ways to address the same concepts in a different manner.Our plan for the next iteration is to revise the two questions we had on the concept inventory thathad
usingWeBWorK prelab problems to support students’ learning. Specifically, our study seeks toaddress the question: What is the impact of the WeBWorK prelab problem sets on students’preparedness for lab sessions, students’ learning and students’ engagement during labsessions?(Due to the COVID-19 pandemic, the course was moved entirely online and the format andthe structure of the original lab sessions implemented were affected. Although the shifts inthe format and structure may not fully reflect the usual state of the original lab sessions andthe corresponding observations, the study was carried out mostly as planned.)Utilizing Online Homework SystemsOne of the key advantages of online homework systems is that students can receiveimmediate feedback
to be inadequate for the students and so the number ofcomponents was increased for the fall semesters. The fall students still felt that they neededadditional hardware, and so we added a few more inductors and capacitors and plan to use thecomponent list in Table III for all future online labs. The op-amp was also changed for one thatis more compatible with the lower maximum voltage capability of the AD2 power supplies. The Pre-Lab Survey - Before the labs began in the fall, all students were asked about theirpreferences for the location of their labs and about the expected outcomes if they were to take thelabs online or on-site. They were also asked about their preferences for partners. Students wereable to self-select either online or on
authentically introducingengineering to youth (National Academies of Sciences, Engineering, and Medicine, 2020; NationalResearch Council, 2010, 2012). Many states have reacted by including engineering within theirstate K-12 science standards. Prior to 2011, only 11 states had explicit engineering standards (Carr,Bennett, and Strobel, 2012). This number increased to 12 in 2015 with an additional 24 statesimplicitly referencing engineering (Moore et al., 2015). As of 2018, 39 states have updated theirscience standards to include engineering with an additional four states planning to do so by 2021(Lopez & Goodridge, 2018); 20 of these states have adopted the Next Generation ScienceStandards (or adopted them under a different, state-specific name with
solution to acivil engineering-focused ill-structured problem over a 30-minute period. The ill-structuredproblem was developed by research team members, including faculty and graduate andundergraduate students following Jonassen’s [19] and [20] papers as a reference. The problemthat the participants were given was related to removing trash from a polluted river including thefollowing tasks: 1) an annotated drawing and description of the design of a solution, 2) a plan fortesting, 3) a list of materials needed, and 4) methodology for construction. We used concurrentverbal protocol analysis (i.e. participants thought out loud while solving the problem) todocument faculty’s problem solving process and ongoing cognitive activities [21
has plans to actively continue the development of practical teaching tools that bring industry applications to the classroom.Dr. Farid Breidi, Purdue University, West Lafayette Dr. Farid Breidi is an Assistant Professor in the School of Engineering Technology at Purdue University. Farid received his B.E. in Mechanical Engineering degree from the American University of Beirut in 2010, his M.S. in Mechanical Engineering from the University of Wisconsin-Madison in 2012, and his Ph.D. in Agricultural and Biological Engineering from Purdue University in 2016. The primary focus of Farid’s research is modeling and design of fluid power and mechanical systems. He is interested in integrating machine learning and data
high schoolstudents to join AWS Academy starting in January 2020. With this new direct connectionbetween AWS Academy and K-12 schools, the plan is to shift efforts in building increasedquantity of high school teachers to provide relevant and up-to-date education in cloud computingthrough a dual enrollment college credit program hosted at their respective schools. Furthermore,due to the urgency in hiring in these cloud specializations, the top cloud providers AWS, Google,and Microsoft recently opened access to their education materials and provided self-paced onlineinformal learning in EmTech at low cost and over a short period of time (six-month program)[14]. Miami Dade College has strengthened their academic-industry partnerships to work
instruction during the pandemic offered both challenges andopportunities for producing self-directed learners. We recommend that engineering schoolsimplement more interventions to help engineering students enhance their self-directed learningcapabilities.Keywords: online, self-directed learning, motivation, social cognitive perspective, pandemicIntroduction The current COVID-19 pandemic has brought about unprecedented academic disruptions topostsecondary education, alongside tremendous social and economic impacts to almost all sectors. InCanada, over 90% of postsecondary campuses moved some or all their courses online in response tothe pandemic, according to a Statistics Canada survey report in May 2020 [1]. After a summer ofintense planning
discussions are amongst the most lively and energetic in our courses, in part because ofemotional reactions to learning answers but also because each students is prepared for thediscussion. The students are clearly connecting the content to a social learning environment.Many teachers spend a significant amount of class time going over the correct responses to anexam, or worry that they cannot take the time to do this without losing content coverage. Ratherthan spend the same amount of time going over the exam, a team test allows students to discover,justify and own the answers. By having students spend time working through the exam with eachother, the students become teachers, participating in reciprocal learning.For planning teacher-to-classroom
country and our families?), logistics and planning(for example, when will we have to engage with students in-person?), or even personal or healthrelated (for example, when will I have access to the vaccine?). Thus, we quickly understood thatthese COVID-19 websites were helping address concerns not only of students and their parentsbut also other stakeholders from diverse backgrounds, who just like us were facing a different setof challenges and looking for answers. We decided to study different university web pages tounderstand how universities were communicating information and changes through the pandemicand collate strategies that administrators were sharing to help their specific learning communitiesface the challenges brought on by the
. Students and instructors can present their work as conferencespeakers and workshops. Partners can also attend these conferences to recruit college graduatesand internships for those still attending.As we continue to add to the labs, we plan to formalize our research, collect data on theprogram’s success utilizing questionnaires, and research whether the outcomes led to continuedinterest in pursuing cybersecurity internship, jobs and enrolling in graduate programs incybersecurity. The authors are also interested in collecting demographic data to study non-represented populations in cybersecurity. The research outcomes will be reported in futureconferences.References[1] Mendlein, A., & Nguyen, T., & Rege, A. (2020, June), Cybersecurity
Work and Schooling,” in Social Studies and Diversity Education What We Do and Why We Do It, 2010, p. 6.[2] K. L. Stokes, “The Impact of the Factory Model of Education in Central Texas,” Baylor University, 2013.[3] W. Au, “Teaching under the new Taylorism: high‐stakes testing and the standardization of the 21 st century curriculum,” vol. 43, no. 1, pp. 25–45, Feb. 2011, doi: 10.1080/00220272.2010.521261.[4] E. Van Duzer, “Overcoming the Limitations of the Factory System of Education,” Mar. 2006.[5] M. G. Dolence and D. M. Norris, Transforming Higher Education: A Vision for Learning in the 21st Century. Society for College and University Planning.[6] C. Sleeter, “Multicultural Education vs. Factory Model Schooling,” in
ofperformance indicators addressing the seven ABET student outcomes which are each assessedperiodically in multiple courses throughout the curriculum. Table 2 shows an example rubric forthe experimental design lab for the three performance indicators below:6(a) Develop and execute experimental plan.6(b) Analyze data and draw conclusions.6(c) Demonstrate quantitative and engineering judgement. Table 2: Sample ABET rubric for the experimental design lab. Emerging Progressing Proficient Exemplary 6(a) Multiple details about Experiment could be Experiment could be Experiment could be the procedure are replicated by another
their responses.We also found there were significantly more percentages of female SWD than male SWD in thesurvey (Chisq test p-value < 0.0004). We recognize that there are different adoption levels ofcourse modalities and the usage data is less consistent than other questions about satisfaction andthe MUSIC questions. We have reached out to more courses from 7 courses in Fall 2020 to 49courses in Spring2021 and a larger pool of SWD students and will continue to modify our surveyto improve the consistency about usage responses for future surveys. We also plan to conductanalysis regarding potential bias caused by the discrepancies in instructional tools. In addition,we will analyze the results of semi-structured interviews, and conduct more
bepurchased with this limited budget. Overall, both models provide adequate means for standardsaccess but both individually are not financially sustainable.The primary way for an academic library to best provide cost effective access to standards for itsstudents is a hybrid between these two purchasing models [7]. This can be achieved only whenan academic library comes up with a standards collection development plan based on the needsof its researchers. This can be done by figuring out what exactly the needs are of the engineeringschool and what they specialize or focus their research and development in [9]. This allows theacademic library to purchase standing orders with aggregators and publishers that providestandards that are relevant to the
independently identify patterns across the action research projects. We performedsubjective intercoder checks for reliability [26]. As more data are collected, this coding structurewill continue to evolve [27].Preliminary Findings Preliminary findings revealed significant disruptions in implementing informal STEMopportunities due largely to the isolation resulting from COVID-19 and the nation’s unrest overracism and police brutality occurring at a time when school team members had planned tocomplete their action research processes. Despite hurried or incomplete action researchprocesses, we identified patterns pointing to the unique characteristics of school culture andleadership that facilitate (or hinder) the successful implementation of
Implications," 2016.[19] I. Gustavsson, T. Olsson, H. Åkesson, J. Zackrisson, and L. Håkansson, "A remote electronics laboratory for physical experiments using virtual breadboards," in Proceedings of the 2005 ASEE Annaual Conference, 2005, pp. 12-15.[20] "Lon Capa Purdue University." Lon Capa. https://loncapa.purdue.edu/adm/login (accessed March 25, 2020).[21] K. Nikolopoulos, S. Punia, A. Schäfers, C. Tsinopoulos, and C. Vasilakis, "Forecasting and planning during a pandemic: COVID-19 growth rates, supply chain disruptions, and governmental decisions," European journal of operational research, vol. 290, no. 1, pp. 99-115, 2020.[22] "Hantek 2000 Series." Hantek. http://hantek.com/products/detail/13174