Paper ID #37742Addressing the Needs of Hispanic/Latino(a) Students with the FlippedClassroom ModelDr. Alberto Cureg Cruz, California State University, Bakersfield Dr. Cruz is an Associate Professor of Computer Science, Principal Investigator of the Computer Per- ception Laboratory (COMPLAB), and board member of the Center for Environmental Studies (CES) at the California State University, Bakersfield (CSUB). He received a few grants from the National Science foundation and local agencies to support work in applied machine learning and engineering education.Dr. Amin Malek, California State University, Bakersfield Professor
conducted a study focused on how commercially available technology toys such as littleBitsand KIBO can help promote the development of CT in K-3 elementary students [42]. This studyassessed if the environment impacts students’ engagement with the technology toys, including achild-friendly laboratory space using littleBits and KIBO, a college classroom using littleBits(girls only), and a kindergarten classroom at an elementary school using littleBits and LEGOWeDo. Data collection for this study included pictures, videos, transcriptions, pre-taskquestionnaires by the parents, post-task interviews from the participants, and teacher interviews.Results indicated that in the lab setting, all participants were able to engage in learning whileusing
' access to CSEdmay be unevenly distributed across different types of schools and districts. When students dohave access to courses, there may be disparities in enrollment rates between different studentsubgroups. When students do enroll in CS courses, there still may be inequities in terms of whichstudents feel included and which students ultimately benefit from participating in those courses.The relationships between the four components of CAPE and examples of equity issues toaddress within each component are represented in Figure 1. In our work, we utilized CAPE asour framework for understanding how to measure and address equity in CSEd.Figure 1: CAPE FrameworkThe Expanding Computing Education Pathways Alliance as a Laboratory for DataThe
Paper ID #39317Creating Creative Educational Opportunities among Engineering and ArtsStudentsabdullah ibrahim, Texas A&M University at QatarRoudha Saif Al-Khaldi, Texas A&M University, QatarDoaa Elamin EmamDr. Yasser M. Al Hamidi, Texas A&M University, Qatar Dr. Al-Hamidi holds a Ph. D. degree in Mechatronics from the University of Bourgogne Franche-Comt´ e (UBFC), France, and currently working as the Mechanical Engineering Laboratories Manager at Texas A&M University at Qatar. He joined Texas A&M University at Qatar in 2007 coming from University of Sharjah. Dr. Al-Hamidi had been appointed as a visiting
Electrical andComputing Engineering (ECE), and educational researchers from the Teaching + LearningCommons at UC San Diego. The study is based on data collected from Fall 2021 to Fall 2022.Over 5 quarters, a team of 7 faculty from MAE and ECE designed and implemented oral examsin 13 undergraduate engineering classes (9 unique courses): ● MAE 30A Statics and Introduction to Dynamics ● MAE 30B Dynamics and vibrations ● MAE 131A Solid Mechanics I ● MAE 131B Solid Mechanics II ● MAE 107 Computational Methods in Engineering ● MAE 8 MATLAB Programming for Engineering Analysis ● ECE 35 Introduction to Analog Design ● ECE 65 Components and Circuits Laboratory ● ECE 101 Linear Systems Fundamentals ● ECE 144 LabVIEW
Research Groups. With the firstmentorship seminar, the goal was to introduce the College of Engineering Mentoring Fellows,the purpose behind the Mentorship Seminar Series, explain how important the state of graduatestudent-faculty member relationships can be, give a break-down of mentor and mentee roles andresponsibilities, introduce the IDP as a tool for mentorship and teach graduate students howcreate their own IDP. The second seminar aimed to initiate the discussion about poor mentorshiprelationships, what it might look like, for example in a laboratory space, what factors cancontribute to inefficient mentoring, and educate attendees on how to improve their reactionstowards any mentoring problem that may arise to avoid creating further
professor access to students of anymajor on campus and the students can stay with the VIP team for multiple semesters. VIP teamstypically have 10 to 20 students. The Electronic ARTrium VIP team is co-instructed by Prof.Weitnauer and Dr. Thomas Martin, Chief Scientist of the Electro-optics Systems Laboratory atthe Georgia Tech Research Institute. Enrollments in the Electronic ARTrium team since itsinception to the time of this writing have been 22, 15, 21, and 24, for Fall 2021, Spring 2022,Fall 2022, and Spring 2023. Many if not all the computer science (CS) students on the VIP teamwere using VIP to satisfy their junior capstone design requirement, but this is transparent to theVIP instructors. Engineering students also have the option to use VIP
Dean of the College of Computing, and Interim Dean of the Pavlis Honors College. Adrienne is completing her Presidential terms with the American Society for Engineering (ASEE) in June 2023. She is a fellow of the American Association for the Advancement of Science (AAAS), ASEE, and most recently, the American Institute of Chemical Engineers (AIChE). She earned the AES Electrophoresis Society’s Lifetime Achievement Award in 2022 and was a prior Michigan Professor of the Year Nominee, which illustrate her dual passion for leveraging research and education for student growth and societal advances. While directing the Micro Medical Device Engineering Research Laboratory (M.D. – ERL), she has managed, as PI or co-PI
effortslasted for eight weeks, which was the duration of the summer academic quarter. The data werecollected in various formats, including typed notes and text entries in surveys. All the data wereanonymized by the research team during the data collection stage and prior to the data analysisstage. The data collection methods are described in Table 1, and a timeline of the data collectionprocess is shown in Figure 1. Next, we elaborate more on each method.Table 1. A summary of the data collection methods used throughout the academic quarter.Figure 1. The data collection timeline, utilizing different methods over the eight-week, summeracademic quarter.ObservationMouallem observed five mandatory laboratory sessions, where students had the option to