, 2021 2021 ASEE Illinois-Indiana Section Conference Proceedings | Paper ID 351621.0 IntroductionLike many Research Experience for Undergraduates programs around the country, in response to theCOVID-19 pandemic, the REUs at this historically Black college in the Southeast transitioned its programsto a virtual format in the summer of 2020. This paper reviews and reflects upon data we collected from theREU undergraduate participants, and participants in a broader summer research program, the SummerResearch Institute (SURI).Our STEM faculty have been hosting undergraduate research about 10 years. Since the summer of 2017,we have been working to adopt critical pedagogy into our undergraduate student research experiencesthrough carefully
meeting the low-cost requirements in such markets. The project was a part of thecourse requirements for a manufacturing processes course. The paper highlights how the studentssuccessfully worked in a virtual environment, engaged the client, designed the part and had the designedparts fabricated and shipped to the clients. In addition, the critical role of technical staff in providinghands-on learning experiences as well as in completing a project, particularly in a pandemic, ishighlighted. Key lessons learned from the perspectives of students, instructor, technical staff, and clientwere gathered through reflections and interviews.Key words: pandemic, projects, design, online, virtual environment, manufacturing processes, onlinelearning
, students will: o Construct an optical encoder using reflective photosensors and a circular disc o Program a microcontroller to count rotations of an optical encoder6. Lab 5: Hall Effect Encoder Learning Outcomes: By the completion of this lab exercise, students will: • Count rotations using a hall effect encoder6. Lab 6: Interrupt task execution Learning Outcomes: By the completion of this lab exercise, students will: • Program a microcontroller to manage robotic platform tasks using interrupts7. Lab 7: IMU with filtering Learning Outcomes: By the completion of this lab exercise, students will: • Program a microcontroller to read and filter IMU data8
aggregation.Using the TriQL QB interface, students can immediately query the database without any priorknowledge of any database programming language.TriQL lab 2, which will succeed all SQL, MongoDB, and Neo4J labs, will include open-endedquestions that encourage students to use TriQL to solve problems and reflect on the differencesbetween the relational, graph, and document-oriented models and their query languages. We willdesign this lab to showcase the advantages and disadvantages of each data model. For example,students can work on a scenario in which data entities are highly connected. Cypher (graph) and ©American Society for Engineering Education, 2021 9 2021 ASEE Illinois-Indiana Section