weekly progress reports and gather input from theircustomers. Their work culminates in a prototype demonstration and final report to documenttheir work for teams who will carry it forward in future terms.Course StructureThe ENGR 151 course is taught on an 11 week quarter system. It begins with a three weekintroduction to computer programming and microcontrollers. Class time is dominated by a seriesof lab activities. Each lab starts with one to three microcontroller circuit tutorials that integratenew programming and electronics concepts before students complete a mini-design challenge tointegrate new learning into a small design project implemented on their breadboard. This work iscomplemented by brief lectures and peer instruction using
, and the Journal of Applied Research in theCommunity College. For this review, the team bound the study and selection criteria to ensure that thescholarship included was relevant to the topical area rather than simply relying on theresearchers’ familiarity or agreement with the available scholarship. Exclusion criteria wereidentified to outline how researchers eliminated studies from consideration and defined thepurpose of the study (DePoy & Gitlin, 1994). For this study, inclusion and exclusion criteriaincluded: 1 1. The study was published between 2013 and 2023. 2. The study was peer-reviewed articles, book chapters
been the winner of a number of prestigious awards including IEEE Achievements Award, Young Engineer Award, Global Engineering Impact Award and Graphical System Design Achievement Award. She has published more than 30 papers in peer reviewed journals and conferences in her field and is the sole author of Map- ping Biological Systems to Network Systems (Springer). She was also featured on TedX, Qatar held by TedXAlDafnaEd in Qatar and her work is covered in professional and major trade publications, major media, such as Microwave Journal, Everything RF, Financial Express, Science Reporter, the Times of India, and India Today. She has been invited as a panelist, TPC member and has been a chair for multiple sessions
realm of artificial intelligence(AI) research. By focusing on the development and implementation of real-time computer visionon energy-efficient Cortex-M microprocessors, we offer a practical and educational avenue forstudents to delve into the burgeoning field of AI. Through a combination of theoreticalunderstanding and practical application, students are empowered to explore AI concepts, gainproficiency in low-power computing, and contribute to real-world AI projects. Furthermore, theproject offered student interns a valuable opportunity to refine their research capabilities,particularly in the realms of scientific writing and presentation, while simultaneously boostingtheir self-assurance and enthusiasm for pursuing STEM careers in the field
across several engineering disciplines. Each project team was supervised by atleast a faculty advisor and a student peer mentor enrolled in the four-year university. Theresearch project outcomes of the internship, as well as the external evaluation results, haveshown that the summer research internship program delivered its objectives to have studentinterns gain valuable engineering research experience, strengthened their confidence in problemsolving, and reinforced their interest in pursuing an engineering degree. Furthermore, theprogram improved the students’ technical skillset, team collaboration, time management, andcommunication skills. The first-year development and implementation of the program, as well asits outcomes and lessons learned
), an HSI in the State University of New York (SUNY) system. In year one, Cohort Apiloted the PD modules in Tier 1 which featured reflective exercises and small culturallyresponsive activities to try with their STEM students. In year two, Cohort A piloted the PDmodules in Tier 2 and peer-mentored Cohort B as they piloted optimizations introduced to Tier 1from Cohort A feedback. Three types of optimizations came from faculty feedback. The firstconsidered feedback regarding delivery and/or nature of the content that influenced a subsequentmodule. The second involved making changes to a particular module before it was delivered toanother faculty cohort. The third takes into account what worked and what didn’t to decidewhich content to bring into
Native Alaskan Age 13-73 Gender Female, Male New Student Description First-time Freshmen, Transfer GPA 0-4 Credits completed 0-188 Course Grade A-D, F, W, Other Math/Reading/Writing Passed, Failed, Exempt, Not tested Placement Exam Score First Generation Status Yes, NoData set comprises characteristics of students and the sections they are enrolled. The students’characteristics include age, gender, ethnicity, first-generation college status, placement examscores, GPA, credits completed, and whether they are freshmen or transfer students. Coursecharacteristics include
Program. Since 2012, the Mentor-Connect initiative has been funded by theNSF ATE Program to help two-year college technician educators and related STEM facultydevelop the grant-writing skills needed to meet NSF expectations and benefit from ATE funding.Over the past decade, 80% of Mentor-Connect participants have successfully submittedproposals. To date, the average funding rate for these proposals is 71%.This paper describes how the Mentor-Connect intervention works and for whom, what outcomeshave resulted for participants who become grantees, and how two-year colleges and technicianeducators can benefit.Funding Program HistoryThe Advanced Technological Education (ATE) funding program at the National ScienceFoundation (NSF) was created in 1992
interested in partnering with EngineeringMomentum to offer summer internships to both university students and early-stage communitycollege students interested in engineering.Engineering Momentum valued a collaboration with SPUR—benefitting from its expertise andtrack record of opening new pathways for qualified interns—which would allow communitycollege students to enter the program. Engineering Momentum placed 20 community collegestudents in 2023 through SPUR. Another 10 students interned at the University of ColoradoDenver, and five community college students interned at Lockheed Martin.Engineering Momentum research internships included mentoring from the professor, graduatestudents, and peer-to-peer collaboration between two- and four-year
to all STEM Coreparticipants across the network. The series incorporates multiple workshops focusing on STEMresume writing (plus follow-up 1-on-1 resume writing sessions), LinkedIn workshops forstudents to create and update resumes and profiles specifically for STEM employers.Additionally, students participate in sessions with a STEM Diversity Specialist around DEIcareer readiness strategies. Using research and insight from top employers, the STEM Coreprogram works to dismantle career readiness challenges that impact diverse students frompursuing and/or persisting in STEM-based careers and to excel while job searching.Overall, the STEM Core Internship Development Series works to equip staff and students withspecific techniques and tips to be
America. He has published 7 books, and more than 300 peer- reviewed papers. His PhD students hold academic positions in the USA and in Europe, and senior technical positions in various US National Laboratories. Professor Abdallah is a senior member of IEEE and a recipient of the IEEE Millennium medal. He is also active in the IEEE Control Systems Society most recently serving as the general chair of the 2008 Conference of Decision and Control CDC 2008.Dr. Andrew Karl Koch, John N. Gardner Institute for Excellence in Undergraduate Education Dr. Andrew K. Koch is the President and Chief Operating Officer of the non-profit John N. Gardner Institute for Excellence in Undergraduate Education. A leading advocate for making
common intervals within each chord type holdregardless of musical key.This commonality of intervals led the music student to conceive of a spreadsheet-baseddatabase with lookup functions to identify correct notes in each chord driven by the musicalkey. With little experience with databases and spreadsheet functions, the music studentreached out to the engineering students for help.ProblemsAs expected, the community college music theory student spends a lot of time studying,writing notes, listening to chords, and memorizing note intervals within chords. Many musictheory students do so. The community college’s target homework for a 3-credit course suchas music theory, is 6 to 9 hours of homework per week. For this study, one music studentwith