- 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
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.
Learning to Think about Gravity: Newtons's Theory part of Interactive Lectures:Examples
The purpose of this exercise is to learn how to think about gravity, learn about scientific methodology, and transition from the Aristotelian to the Newtonian understanding of gravity.
The Evolution of Pearsons Correlation Coefficient/Exploring Relationships between Two Quantitative Variables part of Interactive Lectures:Examples
The evolution of ideas is often ignored in the teaching of statistics. It is important to show students how definitions and formulas evolve. This activity describes a fairly straightforward activity of how measures of association can evolve.
Using an Applet to Demonstrate the Sampling Distribution of an F-statistic part of Interactive Lectures:Examples
This visualization activity combines student data collection with the use of an applet to enhance the understanding of the distributions of mean square treatment (MST), mean square error (MSE) as well as their ratio, an F-distribution. Students will see theoretical distributions of the mean square treatment, mean square error and their ratio and how they compare to the histograms generated by the simulated data.
Helping Students Discover Total Internal Reflection part of Interactive Lectures:Examples
Students learn the basic relationship of Snell's Law, practice applying it to a situation, then are given another situation where it "doesn't work."??? This situation turns out to be one in which total internal reflection occurs. Students are then shown what happens with classroom apparatus.
Models of the Hydrogen Atom part of Interactive Lectures:Examples
In this interactive lecture, models of the hydrogen atom are explored using an online Java applet. The exploration leads to qualitative and quantitative analysis of energy transitions.
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.
Understanding the standard deviation: What makes it larger or smaller? part of Cooperative Learning:Examples
Using cooperative learning methods, this activity helps students develop a better intuitive understanding of what is meant by variability in statistics.
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.).
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.