This course covers the major topics of mechanics, including momentum and energy conservation, kinematics, NewtonŰŞs laws and equilibrium. The major emphasis is to develop critical analysis, problem solving and scientific reasoning skills by considering numerous different systems and interactions, solving problems and discussion. It uses a systematic approach based on modeling systems by application of basic physics principles, making assumptions, utilizing multiple representations (not just mathematical) in order to become proficient at problem solving. Lab work is required and is designed to help students develop a questioning approach to physical situations, distinguishing the significant behaviors from the less significant behaviors of a system under study.Login: guest_oclPassword: ocl
In this activity, students are presented with two objects that have different constant speeds and that will race each other. The students must determine which object will win the race, as well as either how much time elapses between the objects crossing the finish line.
- Material Type:
- Science Education Resource Center (SERC) at Carleton College
- Provider Set:
- Pedagogy in Action
- Kathleen Harper
- Date Added:
This website consists of a series of 3D simulations on engineering technology topics. Developed by and for the Eastern Iowa Community Colleges' Engineering Technology programs, these simulations, which are approximately 2-9 minutes long, are used as part of their curriculum to help students quickly and thoroughly grasp the concepts being presented in a visual format. Some simulations are paired with additional interactive quiz questions and can be downloaded as .zip files.
Topics covered include: AC Circuits, DC Circuits, Digital Currents & Systems, Electrical Motor Control, Fluid Power Control, Fluid Power Design & Application, Fluid Power Fundamentals, Industrial Print Reading (Engineering Design), Industrial Robotics, Lean Manufacturing, Microcontrollers, Motion Control, Process Control, Programmable Logic Controllers, and Solid Stats & Systems.
This workforce solution is funded by the Pathways to Engineering Technology Careers grant which is 100% financed through a $2.5 million grant from the U.S. Department of Labor’s Employment & Training Administration.
In order to promote students’ conceptual understanding and learning experience in introductory statistics, a technology task, which focuses on the probability distribution in which means are defined, was created using TinkerPlots, an exploratory data analysis and modeling software. The targeted audiences range from senior high school grade levels to college freshmen who are starting their introductory course in statistics. Students will be guided to explore and discover the movement behaviors of means of a set of numbers randomly generated from a fixed range of values characterized by a predetermined probability distribution. The cognitive, mathematical, technological and pedagogical natures of the task, as well as its association with the statistics education framework based on the Guidelines for Assessment and Instruction in Statistics Education (GAISE) by the American Statistical Association, will be elaborated. A brief discussion on what cognitive design principles this task satisfies will also be provided at the end.