3 Course ObjectivesENGR 4150 is taken concurrently with ENGR 4350 (Fluid Mechanics; three-hour lecture format),and the main objective of ENGR 4150 is to supplement the lecture course. This is evidenced in thecourse’s catalog description: “This lab investigates the fundamental concepts of fluid mechanics with hands-on experiments in the areas of fluid statics, viscosity, buoyancy, Bernoulli’s equation, friction losses, and the concepts of lift and drag.”All course activities were designed with this description in mind. Three additional objectives arealso emphasized: technical writing, uncertainty analysis, and experimental design. The followingsubsections describe each of these
developing theweekly PLTL package, the faculty liaison intentionally incorporated a six-step problem-solvingprocess following the DT pedagogy. The goal is to help students following the DT process in definingthe problem and developing creative solutions. 30.5% of students enrolled in the course signed up forthe PLTL sessions. A 19.3% increase in the passing rate was achieved for the students whoparticipated in PLTL as compared to those who did not. IntroductionEngineering Statics is a fundamental course for Mechanical, Aerospace, and Civil Engineering. Itcovers the fundamental concept of forces, moments, reactions, equilibrium, free-body diagram, etc.To successfully pass this course, the students need to
author (sbhattacharia@wtamu.edu, nhiranuma@wtamu.edu) AbstractWe developed curricular activities that were based on the application of a Community IceNucleation Cold Stage to teach the theory of solidification that is applicable to multidisciplinarySTEM disciplines. We adopted a freezing assay, which simulates ambient immersion freezing ina laboratory setting (i.e., freezing of ice-nucleating aerosol particles immersed in a water droplet),to provide hands-on, laboratory-based education to STEM students at a primarily undergraduateand minority-serving institute (PUI-MSI). With the freezing assay, we instructed more than 60STEM students on fundamental concepts of material and atmospheric science, such
IntroductionGenerative AI (GenAI) has fundamentally altered the educational landscape, bringing bothadvantages and challenges. In engineering education, the rapid adoption of GenAI tools hasfacilitated learning but has also spurred a notable increase in academic dishonesty. In the wake ofthis shift researchers have been quick to examine effects. Chan [1] explored this phenomena andintroduced the concept of “AI-giarism”, describing the misuse of AI tools to bypass traditionalplagiarism detection systems through a qualitative study of over 500 students. Li [2] emphasizesin their work the growing ethical dilemmas stemming from hard to monitor usage of GenAI inassessments, ultimately calling for adaptive educational policies to address this issue. It is clearthat
. • Term Project: IEEE 754 Half-Precision Floating-Point Adder Subtractor: Designed, implemented, and tested a complete floating-point adder subtractor, integrating modules developed in the previous labs.Rationale for Lab SelectionThe lab assignments were chosen to align with fundamental topics in digital logic design whileincrementally building towards the final project. Each lab introduces concepts in a structuredmanner, reinforcing learning through practical application.Lab DetailsLab Assignment 3: Registered High-Speed Adder SubtractorObjective:The primary objective of this lab is to design and implement an eight-bit registered high-speedadder/subtractor that produces carry-out, overflow, zero, and negative condition code
evolving. In recent years, the development of advancedlarge language models like ChatGPT offer educators powerful tools to enhance teaching practicesand improve classroom experiences. While these tools offer considerable benefits, AI can performtasks such as generating essays, writing code, or solving problems, allowing students to bypassactive learning and rely on the tool to complete their work for them. Previous research hasexplored how instructors and students feel about integrating AI into the classroom as anotherresource. Moving forward, the goal of this study is to build on existing findings and offer newinsights into the perceived benefits and limitations of integrating AI into education by focusing onstudent perceptions of its impact on