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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. | 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)]] | |||
*[[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) | |||
*[[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 | *Organizing Single Variable Data | ||
*Simplifying Linear Expressions | *Simplifying Linear Expressions | ||
| Line 16: | Line 39: | ||
*Problem Solving using Proportional Reasoning | *Problem Solving using Proportional Reasoning | ||
*Analyzing Data and Making Predictions | *Analyzing Data and Making Predictions | ||
*Powers and Exponents | *Powers and Exponents | ||
Latest revision as of 16:15, 18 August 2011
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