Difference between revisions of "Algebra"
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| + | ===Algebra LearnLab course description=== | ||
The Algebra LearnLab course is described [http://learnlab.org/learnlabs/algebra/ here]. | The Algebra LearnLab course is described [http://learnlab.org/learnlabs/algebra/ here]. | ||
| − | + | The Algebra LearnLab course involves teaching high school Algebra I using the textbook and tutoring system of Carnegie Learning. The curriculum combines software-based, individualized computer lessons with collaborative, real-world problem-solving activities. Students spend about 40% of their class time using the software, and the balance of their time engaged in classroom problem-solving activities. Three Pittsburgh-area high schools are currently participating as PSLC Algebra LearnLab sites, offering a diverse student population, and additional high schools around the country are anticipated for future participation. | |
| − | + | See a list of course topics below. | |
| + | |||
| + | ===Algebra & Geometry LearnLab Course Committee=== | ||
| + | The Math Course Committee meets monthly and is led by Albert Corbett (corbett@andrew.cmu.edu). | ||
| + | |||
| + | Teachers (and perhaps researchers) can find answers to questions on the [[FAQ for teachers]]. | ||
| + | |||
| + | ===Algebra Learnlab Studies=== | ||
*[[Booth | Improving skill at solving equations through better encoding of algebraic concepts (Booth, Siegler, Koedinger & Rittle-Johnson)]] | *[[Booth | Improving skill at solving equations through better encoding of algebraic concepts (Booth, Siegler, Koedinger & Rittle-Johnson)]] | ||
| Line 10: | Line 18: | ||
**[[Effect of adding simple worked examples to problem-solving in algebra learning]] (completed, analysis in progress) | **[[Effect of adding simple worked examples to problem-solving in algebra learning]] (completed, analysis in progress) | ||
**[[In vivo comparison of Cognitive Tutor Algebra using handwriting vs typing input]] (in progress) | **[[In vivo comparison of Cognitive Tutor Algebra using handwriting vs typing input]] (in progress) | ||
| + | *[[Rummel_Scripted_Collaborative_Problem_Solving|Collaborative Extensions to the Cognitive Tutor Algebra: Scripted Collaborative Problem Solving (Rummel, Diziol, McLaren, & Spada)]] | ||
| + | *[[Walker_A_Peer_Tutoring_Addition|Collaborative Extensions to the Cognitive Tutor Algebra: A Peer Tutoring Addition (Walker, McLaren, Koedinger, & Rummel)]] | ||
| + | *[[DiBiano_Personally_Relevant_Algebra_Problems|Robust Learning in Culturally and Personally Relevant Algebra Problem Scenarios (DiBiano, Petrosino, Greeno, & Sherman)]] | ||
| + | *[[Math_Game_Elements|Improving student affect through adding game elements to mathematics LearnLabs (Baker, Aleven)]] | ||
| + | |||
| + | These studies are also organized within research clusters that address common issues across a variety of academic content domains: [[Coordinative Learning]], [[Interactive Communication]], and [[Refinement and Fluency]]. | ||
| + | |||
| + | ===Algebra I topics=== | ||
| + | *Organizing Single Variable Data | ||
| + | *Simplifying Linear Expressions | ||
| + | *Finding Linear Equations from Graphs | ||
| + | *Solving Linear Equations and Inequalities | ||
| + | *Standard Form | ||
| + | *Slope Intercept Form | ||
| + | *Mathematical Modeling | ||
| + | *Linear Expressions and Equations | ||
| + | *Quadratic Expressions and Equations | ||
| + | *Solving Systems of Linear Equations Algebraically and Graphically | ||
| + | *Solving and Graphing Equations Involving Absolute Values | ||
| + | *Problem Solving using Proportional Reasoning | ||
| + | *Analyzing Data and Making Predictions | ||
| + | *Powers and Exponents | ||
Latest revision as of 16:15, 18 August 2011
Contents
Algebra LearnLab course description
The Algebra LearnLab course is described here.
The Algebra LearnLab course involves teaching high school Algebra I using the textbook and tutoring system of Carnegie Learning. The curriculum combines software-based, individualized computer lessons with collaborative, real-world problem-solving activities. Students spend about 40% of their class time using the software, and the balance of their time engaged in classroom problem-solving activities. Three Pittsburgh-area high schools are currently participating as PSLC Algebra LearnLab sites, offering a diverse student population, and additional high schools around the country are anticipated for future participation.
See a list of course topics below.
Algebra & Geometry LearnLab Course Committee
The Math Course Committee meets monthly and is led by Albert Corbett (corbett@andrew.cmu.edu).
Teachers (and perhaps researchers) can find answers to questions on the FAQ for teachers.
Algebra Learnlab Studies
- Improving skill at solving equations through better encoding of algebraic concepts (Booth, Siegler, Koedinger & Rittle-Johnson)
- Handwriting Algebra Tutor (Anthony, Yang & Koedinger)
- Lab study proof-of-concept for handwriting vs typing input for learning algebra equation-solving (completed)
- Effect of adding simple worked examples to problem-solving in algebra learning (completed, analysis in progress)
- In vivo comparison of Cognitive Tutor Algebra using handwriting vs typing input (in progress)
- Collaborative Extensions to the Cognitive Tutor Algebra: Scripted Collaborative Problem Solving (Rummel, Diziol, McLaren, & Spada)
- Collaborative Extensions to the Cognitive Tutor Algebra: A Peer Tutoring Addition (Walker, McLaren, Koedinger, & Rummel)
- Robust Learning in Culturally and Personally Relevant Algebra Problem Scenarios (DiBiano, Petrosino, Greeno, & Sherman)
- Improving student affect through adding game elements to mathematics LearnLabs (Baker, Aleven)
These studies are also organized within research clusters that address common issues across a variety of academic content domains: Coordinative Learning, Interactive Communication, and Refinement and Fluency.
Algebra I topics
- Organizing Single Variable Data
- Simplifying Linear Expressions
- Finding Linear Equations from Graphs
- Solving Linear Equations and Inequalities
- Standard Form
- Slope Intercept Form
- Mathematical Modeling
- Linear Expressions and Equations
- Quadratic Expressions and Equations
- Solving Systems of Linear Equations Algebraically and Graphically
- Solving and Graphing Equations Involving Absolute Values
- Problem Solving using Proportional Reasoning
- Analyzing Data and Making Predictions
- Powers and Exponents
