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,” presented at the 39th ASEE/IEEE Frontiers in Education Conference, San Antonio, TX, USA, Oct. 18-21, 2009. Available: https://ieeexplore.ieee.org/abstract/document/5350571.[18] J. M. Holland, D. A. Major, and K. A. Orvis, “Understanding how peer mentoring and capitalization link STEM students to their majors,” Career Dev. Q., vol. 60, no. 4, pp. 343-354, Dec. 2012, doi: 10.1002/j.2161-0045.2012.00026.x.[19] A. R. Rockinson-Szapkiw and J. L. Wendt, “The benefits and challenges of a blended peer mentoring program for women peer mentors in science, technology, engineering and mathematics (STEM),” Int. J. Mentor. and Coach. Educ., vol. 10, no. 1, pp. 1-16, Nov. 2020, doi: 10.1108/IJMCE-03-2020-0011.[20
3students with practice problems. The chatbot should help with project-related tasks such aschecking out equipment and requesting services. Such information is usually hard to find, andstudents might not even know the facilities they have access to. Another tedious task is schedulingmeetings. Students tend to send back-and-forth emails to set meetings with professors and TAs.The chatbot should assist with scheduling meetings based on the availability of the student and theprofessor or TA. The chatbot should also be able to provide general information unrelated to aparticular course such as Q-drop dates or registration information. Finally, it should easily providethe students with access to all safety documents, such as Safety Data Sheets (SDS
a problem. And then we'd have five minutes of takeoff and review, and just like have the professor solve the problem for us. So I thought that kept me really engaged in the class, I never fell asleep in that class. (ST5)Qualitative student survey data also reported a number of aspects of teaching practices thatengineering students found effective. For example, instructor availability, easy access to coursematerials, well-presented lectures, and take-home assessments were mentioned in the followingcomments in the student survey. [In response to the question on teaching practices that helped them learn effectively.] Instructor making themselves available after lecture for Q&A: served similar function to
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analog-to-digital converter (ADC) [21]. After goingthrough an ADC, they are converted into either in-phase (I) or quadrature (Q) datacomponents [21], [22]. I/Q data is a representation of complex signals recorded by anantenna [20], [21]. They can then be formatted into a waterfall chart that shows the frequencyspectrum of the recorded data (for example, see Figure 1). Figure 1: SatNOGS Waterfall of FOX-1A, collected by 150-OM1LD-Needronix on Feb. 5th, 2023According to [5], the two major advantages of SDR are its flexibility and ease of adaptation.Flexible because it can be changed to suit different frequencies for different missions, and it isadaptive because most parts involving radio functions are
abilities of engineers. For example, the addition ofcaring to the science, technology, engineering, and math professions is described to create“STEMpathy” jobs. Similarly, there has been an increased emphasis on STEAM – where art(often referencing more than merely the aesthetic component of design) is proposed as essentialto future success.The primary course instructor (DBO) made an intentional choice to integrate nursing andUniversity extension into this course as part of the shift to focus on the design of local foodsystems. The concerns expressed by students about the course content – Comments T, U, V, andW – must be weighed in the balance with the positivity represented by Comments P and Q aswell as the encouragement represented by Comments R
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-0.29 Teammate Support 4.46 4.75 0.67 -1.45 -1.42 Industry Mentor Support 4.39 4.67 0.73 1.99 2.13To ensure that none of the assumptions of multiple linear regression were violated, modelresiduals versus independent variables were plotted to check for any violation against linearityand heteroscedasticity. Normal Q-Q plots were examined to check for violation of normality[53]. None of the above-mentioned assumptions—linearity, heteroscedasticity, and normalitywere violated. The results of the two regression models (one for engineering design anddecision-making and one for adaptability) are summarized in Table 7
model when paired with an interdisciplinary educational model. Our study aims tofill in this gap and show the impact of such an approach, and it efficacy in amultidisciplinary scope.The step taken by VCU-Q (Virginia Commonwealth University-Qatar) and TAMU-Q(Texas A&M University at Qatar) is a continuation to previous efforts towardsimplementing design thinking approach in a multidisciplinary context. Theinstructional strategy for multidisciplinary projects involving engineering and artsstudents is presented in this study. The strategy attempts to encourage innovation,collaboration, and creativity among students from various academic fields. We discussa project where engineering and art students collaborated to construct interactive
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, cultural, and socialimpact of engineering solutions.Table 1. Selected courses and type of assignment to implement and document ABET studentoutcomes 2 and 4. DP: Design Project, E: Exam, HW: Homework assignment, P: Project, Q: Quiz. Year Course Outcome 2 Outcome 4 Sophomore Foundations of Chemical Engineering DP - Thermodynamics - HW Product Design I DP - Junior Transport Phenomena Q Reactive Process Engineering
. We also asked them to engage with RECET by providing materialsfrom their organization, become involved in editorial/communications activities, help to createand organize tutorials, workshops, etc., join teams working to obtain additional resources,provide feedback to other content providers, and, most critically, recommend some next steps forRECET if we find the resources to scale it up. We then also had a Q&A period. We presented toan ECEDHA Online Summit in late fall 2021, addressed the ECEDHA annual meeting in threeseparate sessions in March 2022, and addressed each of the regional ECEDHA meetings in thesummer and fall of 2022. The attendees for each of these venues tend to be a bit different. Forexample, smaller schools can be
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B,D, G and K in the low complexity, code L, P and Q in the moderate complexity, and code S,T and V in the high complexity. This shows that 4 activities out of 11 activities in the lowcomplexity can be considered as active learning activities in the new course, which is 36 %out of 100 %. In the moderate complexity, 3 activities out of 7 activities, which is 43 % out of100 %, can be considered as active learning activities. In the high complexity, 3 activities outof 4 activities, which is 75 % out of 100 %, can be considered as active learning activities.Consequently, the percentage increases as the complexity becomes higher. Table 2. Applicability of active learning activities to the newly suggested course [15]. The codes with A
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Colab file that covers the “continue” keyword in Python. Thisshould closely match the delivery of content in the lecture slides and videos, as seen in Figure 2. Fig. 1. Colab content on the "continue" keyword Fig. 2. Lecture slide content on the "continue" keywordIn the self-paced version of the course, an instructional Colab notebook was shared with thestudents two times each week (available in Appendix B). In the instructor-led version of thecourse, lectures were delivered two times each week via Google Meet, recorded, and shared withthe students along with the slides (slides and recordings available in Appendix B). Both courseshad live Q&A sessions at the end of each week.5