Difference between revisions of "Algebra"

From LearnLab
Jump to: navigation, search
m (Reverted edits by Jeraldinesewell (Talk); changed back to last version by Aleven)
 
(4 intermediate revisions by 4 users not shown)
Line 1: Line 1:
 +
===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. Algebra I topics include:
+
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
 
 
Numerous studies in the algebra LearnLab course can be found in all three of the research clusters: [[Coordinative Learning]], [[Interactive Communication]], and [[Refinement and Fluency]].
 
 
 
'''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)]]
 

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

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