- Interactive Lectures
- Socratic Questioning
- Role Playing
- Peer Review
- Investigative Case Based Learning
- Group Work
- Process Oriented Guided Inquiry Learning
- Just in Time Teaching
- Cooperative Learning
- Teaching with Visuals
- Teaching with Technology
- Teaching with GIS
- Class Response Systems
- Question of the Day
- Problem Solving
- Calibrated Peer Review
Results 41 - 50 of 180 matches
The Standard Model: Using CERN output graphics to identify elementary particles part of Just in Time Teaching:Examples
After using the historical development of the Standard Model to develop introductory understanding, students link to OPAL and DELPHI data archives from CERN to identify and study the tracks from elementary particles.
Angular Momentum Experiment part of Just in Time Teaching:Examples
After using the historical development of concepts of conserved motion to develop introductory understanding, students are directed to a series of activities to gain a better understanding of momentum, conservation of momenta, angular momentum, and conservation of angular momenta.
Nature of the chi-square distribution part of Cooperative Learning:Examples
Explaining the chi-square and F distributions in terms of the behavior of variables constructed by generating random samples of normal variates and summing the sqaures of the values.
Histogram Sorting Using Cooperative Learning part of Cooperative Learning:Examples
Intended as an early lesson in an introductory statistics course, this lesson uses cooperative learning methods to introduce distributions. Students develop awareness of the different versions of particular shapes (e.g., different types of skewed distributions, or different types of normal distributions), and that there is a difference between models (normal, uniform) and characteristics (skewness, symmetry, etc.).
Body Measures: Exploring Distributions and Graphs Using Cooperative Learning part of Cooperative Learning:Examples
This lesson is intended as an early lesson in an introductory statistics course. The lesson introduces distributions, and the idea that distributions help us understand central tendencies and variability. Cooperative learning methods, real data, and structured interaction emphasize an active approach to teaching statistical concepts and thinking.
Graph Predictions for Position, Velocity and Acceleration part of Just in Time Teaching:Examples
Graphical Just-in-Time-Teaching questions for use before classes in which students explore position, velocity and acceleration graphs.
Using an Applet to Demonstrate Sampling Distributions of Regression Coefficients part of Interactive Lectures:Examples
This applet simulates a linear regression plot and the corresponding intercept and slope histograms. The program allows the user to change settings such as slope, standard deviation, sample size, and more.
Using an Applet to Demonstrate a Sampling Distribution part of Interactive Lectures:Examples
Introducing sampling distribution through cooperative learning among students using a group activity. Afterwards, use the sampling distribution applet to illustrate.
Psychic test part of Interactive Lectures:Examples
Show relative frequency converging to true probability by testing the psychic ability of your students.
Count the Fs: Why a Sample instead of a Census? part of Interactive Lectures:Examples
This interactive lecture activity motivates the need for sampling. "Why sample, why not just take a census?" Under time pressure, students count the number of times the letter F appears in a paragraph. The activity demonstrates that a census, even when it is easy to take, may not give accurate information. Under the time pressure measurement errors are more frequently made in the census rather than in a small sample.