Guide Student Success with NEW Guided Notes

Package our two newest course offerings with Guided Notes, available for summer 2017! These notes are a wonderful resource to accompany the integrated review content of the online subject matter.

Get a special preview here of Beginning Statistics Plus Integrated Review Guided Notes.

Check out a sample of Viewing Life Mathematically Plus Integrated Review Guided Notes.

Check out a sample of College Algebra Plus Integrated Review Guided Notes.

Ideal for corequisite courses, lab settings, and students entering class with foundational knowledge gaps, these courses integrate credit-bearing material with review to target the prerequisite skills needed for curriculum-level success.

NEW Guided Notes, a binder-ready supplement, ensure students engage with the content as they follow along throughout the instructional “Learn” mode of the courseware and serve as reference material for review later on.

Here are a few sample questions:

A sample question from the guided notes asks students to label the parts of the fraction 5/8. It then asks students to fill in the blank in the sentence Fractions are used to indicate blank of a whole and the sentence The fraction 2/7 represents blank of blank equal parts. Another question shows a rectangle split up into four smaller rectangles, three of which are shaded. Use the picture below to write a fraction representing the shaded portion of the shape.


Would you like to learn more?
Contact your courseware representative today at 1-800-426-9538 or email

An InteGREATed Course for College Algebra

Here at Hawkes Learning, we’re excited about developing our new course offering, College Algebra Plus Integrated Review! Target specific remediation needs for just-in-time supplementation of foundational concepts in college algebra with these materials.

This new integrated course enhances curriculum-level math with applicable review skills to shorten the prerequisite sequence without compromising competency. If you teach a college algebra corequisite course, these materials are for you!

Below is the table of contents.

College Algebra Plus Integrated Review

Chapter 1.R: Integrated Review
1.R.1 Exponents, Prime Numbers, and LCM
1.R.2 Reducing Fractions
1.R.3 Decimals and Percents
1.R.4 Simplifying Radicals
Chapter 1: Number Systems and Fundamental Concepts of Algebra
1.1 The Real Number System
1.2 The Arithmetic of Algebraic Expressions
1.3a Properties of Exponents
1.3b Scientific Notation and Geometric Problems Using Exponents
1.4a Properties of Radicals
1.4b Rational Number Exponents
1.5 Polynomials and Factoring
1.6 The Complex Number System
Chapter 1 Review
Chapter 2.R: Integrated Review
2.R.1 Multiplication and Division with Fractions
2.R.2 Addition and Subtraction with Fractions
2.R.3 Applications: Number Problems and Consecutive Integers
2.R.4 Solving Equations: Ratios and Proportions
Chapter 2: Equations and Inequalities of One Variable
2.1a Linear Equations in One Variable
2.1b Applications of Linear Equations in One Variable
2.2 Linear Inequalities in One Variable
2.3 Quadratic Equations in One Variable
2.4 Higher Degree Polynomial Equations
2.5 Rational Expressions and Equations
2.6 Radical Equations
Chapter 2 Review
Chapter 3: Linear Equations and Inequalities of Two Variables
3.1 The Cartesian Coordinate System
3.2 Linear Equations in Two Variables
3.3 Forms of Linear Equations
3.4 Parallel and Perpendicular Lines
3.5 Linear Inequalities in Two Variables
3.6 Introduction to Circles
Chapter 3 Review
Chapter 4.R: Integrated Review
4.R.1 Order of Operations
4.R.2 Variables and Algebraic Expressions
4.R.3 Simplifying Expressions
4.R.4 Translating Phrases into Algebraic Expressions
Chapter 4: Relations, Functions, and Their Graphs
4.1 Relations and Functions
4.2a Linear and Quadratic Functions
4.2b Max/Min Applications of Quadratic Functions
4.3a Other Common Functions
4.3b Direct and Inverse Variation
4.4 Transformations of Functions
4.5 Combining Functions
4.6 Inverses of Functions
Chapter 4 Review
Chapter 5.R: Integrated Review
5.R.1 Greatest Common Factor of Two or More Terms
5.R.2 Factoring Trinomials by Grouping
5.R.3 Additional Factoring Practice
Chapter 5: Polynomial Functions
5.1 Introduction to Polynomial Equations and Graphs
5.2 Polynomial Division and the Division Algorithm
5.3 Locating Real Zeros of Polynomials
5.4 The Fundamental Theorem of Algebra
Chapter 5 Review
Chapter 6.R: Integrated Review
6.R.1 Defining Rational Expressions
6.R.2 Special Products
6.R.3 Special Factorizations – Squares
Chapter 6: Rational Functions and Conic Sections
6.1a Rational Functions
6.1b Rational Inequalities
6.2 The Ellipse
6.3 The Parabola
6.4 The Hyperbola
Chapter 6 Review
Chapter 7.R: Integrated Review
7.R.1 Simplifying Integer Exponents I
7.R.2 Simplifying Integer Exponents II
7.R.3 Rational Exponents
Chapter 7: Exponential and Logarithmic Functions
7.1 Exponential Functions and their Graphs
7.2 Applications of Exponential Functions
7.3 Logarithmic Functions and their Graphs
7.4 Properties and Applications of Logarithms
7.5 Exponential and Logarithmic Equations
Chapter 7 Review
Chapter 8.R: Integrated Review
8.R.1 Solving Systems of Linear Equations by Graphing
8.R.2 Systems of Linear Inequalities
Chapter 8: Systems of Equations
8.1 Solving Systems by Substitution and Elimination
8.2 Matrix Notation and Gaussian Elimination
8.3 Determinants and Cramer’s Rule
8.4 The Algebra of Matrices
8.5 Inverses of Matrices
8.6 Linear Programming
8.7 Nonlinear Systems of Equations
Chapter 8 Review
Chapter 9: An Introduction to Sequences, Series, Combinatorics, and Probability
9.1 Sequences and Series
9.2 Arithmetic Sequences and Series
9.3 Geometric Sequences and Series
9.4 Mathematical Induction
9.5a An Introduction to Combinatorics – Counting, Permutations, and Combinations
9.5b An Introduction to Combinatorics – The Binomial and Multinomial Theorems
9.6 An Introduction to Probability
Chapter 9 Review
Chapter A: Appendix
A.1 Introduction to Polynomial Equations and Graphs (excluding complex numbers)
A.2 Polynomial Division and the Division Algorithm (excluding complex numbers)
A.3 Locating Real Zeros of Polynomials (excluding complex numbers)
A.4 The Fundamental Theorem of Algebra (excluding complex numbers)


Do students pay too much for remedial classes?

In “Remedial Classes Have Become a Hidden Cost of College,” Danielle Douglas-Gabriel reports that one in four students enroll into a remedial class in their first year of college. These classes, though, can get pricey; Education Reform Now’s report states that students pay an additional $3,000 on average for remedial classes.

On top of that, the research shows that “full-time undergraduate students who take such courses their first year are 74 percent more likely to drop out of college” (Douglas-Gabriel).

One solution that Complete College America supports is corequisite courses, which allow students to receive remediation at the same time they take credit-bearing courses. Several states, including Connecticut and Tennessee, have made great strides in including such classes within schools’ course offerings.

Read more from the Washington Post article here or below.

Douglas-Gabriel, Danielle. “Remedial classes have become a hidden cost of college.” The Washington Post. The Washington Post, 6 April 2016. Web. 13 April 2016.

What did TennesSEE? It saw remediation success!

The Tennessee Board of Regents recently conducted a study of the state’s 13 public community colleges in scaling up corequisite remediation in math, reading, and writing. The study found that, although it resulted in a few small decreases in pass rates from a pilot similar to the current program, the increased corequisite remediation led to overall success for students completing credit-bearing courses compared to students who took prerequisite remedial courses in 2012.

According to Ashley Smith’s article, “Evidence of Remediation Success,” “Over all, 51 percent of students in a co-requisite math course this fall passed the college-level course, compared to 12.3 percent of students who began in a remediation course and completed a credit-bearing math class within an academic year in 2012.”

Check out the Inside Higher Ed article here or below.

Smith, Ashley. “Evidence of Remediation Success.” Inside Higher Ed. Inside Higher Ed, 5 April 2016. Web. 8 April 2016.

Increase Developmental Education’s Success with 8 Changes

Campus Technology writer Dian Schaffhauser reported on research from the University of Texas at Austin’s Center for Community College Student Engagement regarding students’ college readiness. The report, “Expectations Meet Reality: The Underprepared Student and Community Colleges,” claims 68% of students included in the study had to take at least one developmental course in college, even though they felt they were already prepared for the experience.

Since so many students take developmental courses, the report highlighted eight ways community colleges can possibly shorten the time it takes for a student to graduate when starting in a developmental course:

  1. Run corequisite programs.
  2. Redesign math so STEM students take a college algebra track, whereas non-STEM students take a different kind of math course like quantitative literacy.
  3. Run accelerated developmental courses.
  4. Use computer-assisted math programs.
  5. Combine developmental education with workplace training.
  6. Partner with high schools.
  7. Provide placement test prep.
  8. Use more than one placement exam to assess readiness.

Does your institution already have these implemented? Let us know in the comments, and check out the article here!

Schaffhauser, Dian. “Report: 8 Ways to Shorten the Bridge Between Developmental Education and Graduation.” Retention and Student Success. Campus Technology, 24 Feb. 2016. Web. 8 March 2016.

Help students struggling in your statistics course, stat!

Introducing oBeginning Statistics Plus Reviewur Beginning Statistics Plus Integrated Review, a courseware and eBook package that provides students with an introduction to a curriculum-level statistics course integrated with applicable review skills.

Target your students’ specific remediation needs with just-in-time supplementation of foundational concepts. Check out the table of contents below.

Sign up for a demo today!

Table of Contents:

Chapter 1.R: Integrated Review
1.R.1 Problem Solving with Whole Numbers
1.R.2 Introduction to Decimal Numbers
Chapter 1: Introduction to Statistics
1.1 Getting Started
1.2 Data Classification
1.3 The Process of a Statistical Study
1.4 How to Critique a Published Study
Chapter 1 Review
Chapter 2.R: Integrated Review
2.R.1 Introduction to Fractions and Mixed Numbers
2.R.2 Decimals and Fractions
2.R.3 Decimals and Percents
2.R.4 Reading Graphs
2.R.5 Constructing Graphs from a Database
2.R.6 The Real Number Line and Inequalities
Chapter 2: Graphical Descriptions of Data
2.1 Frequency Distributions
2.2a Graphical Displays of Data: Pie Charts and Bar Graphs
2.2b Graphical Displays of Data: Histograms, Polygons, Stem and Leaf Plots
2.3 Analyzing Graphs
Chapter 2 Review
Chapter 3.R: Integrated Review
3.R.1 Addition with Real Numbers
3.R.2 Subtraction with Real Numbers
3.R.3 Multiplication and Division with Real Numbers
3.R.4 Exponents and Order of Operations
3.R.5 Evaluating Algebraic Expressions
3.R.6 Evaluating Radicals
Chapter 3: Numerical Descriptions of Data
3.1 Measures of Center
3.2a Measures of Dispersion
3.2b Applying the Standard Deviation
3.3 Measures of Relative Position
Chapter 3 Review
Chapter 4.R: Integrated Review
4.R.1 Multiplication and Division with Fractions and Mixed Numbers
4.R.2 Least Common Multiple (LCM)
4.R.3 Addition and Subtraction with Fractions
4.R.4 Fractions and Percents
Chapter 4: Probability, Randomness, and Uncertainty
4.1 Introduction to Probability
4.2 Addition Rules for Probability
4.3 Multiplication Rules for Probability
4.4 Combinations and Permutations
4.5 Combining Probability and Counting Techniques
Chapter 4 Review
Chapter 5.R: Integrated Review
5.R.1 Order of Operations with Real Numbers
5.R.2 Solving Linear Inequalities
Chapter 5: Discrete Probability Distributions
5.1 Discrete Random Variables
5.2 Binomial Distribution
5.3 Poisson Distribution
5.4 Hypergeometric Distribution
Chapter 5 Review
Chapter 6.R: Integrated Review
6.R.1 Area
6.R.2 Solving Linear Equations: ax + b = c
6.R.3 Working with Formulas
Chapter 6: Normal Probability Distributions
6.1 Introduction to the Normal Distribution
6.2 Finding Area Under a Normal Distribution
6.3 Finding Probability Using a Normal Distribution
6.4 Finding Values of a Normally Distributed Random Variable
6.5 Approximating a Binomial Distribution Using a Normal Distribution
Chapter 6 Review
Chapter 7.R: Integrated Review
7.R.1 Ratios and Proportions
Chapter 7: The Central Limit Theorem
7.1 Introduction to the Central Limit Theorem
7.2 Central Limit Theorem with Means
7.3 Central Limit Theorem with Proportions
Chapter 7 Review
Chapter 8: Confidence Intervals
8.1 Estimating Population Means (Sigma Known)
8.2 Student’s t-Distribution
8.3 Estimating Population Means (Sigma Unknown)
8.4 Estimating Population Proportions
8.5 Estimating Population Variances
Chapter 8 Review
Chapter 9: Confidence Intervals for Two Samples
9.1 Comparing Two Population Means (Sigma Known)
9.2 Comparing Two Population Means (Sigma Unknown)
9.3 Comparing Two Population Means (Sigma Unknown, Dependent Samples)
9.4 Comparing Two Population Proportions
9.5 Comparing Two Population Variances
Chapter 9 Review
Chapter 10.R: Integrated Review
10.R.1 Translating English Phrases and Algebraic Expressions
10.R.2 Order of Operations with Fractions and Mixed Numbers
Chapter 10: Hypothesis Testing
10.1 Fundamentals of Hypothesis Testing
10.2 Hypothesis Testing for Population Means (Sigma Known)
10.3 Hypothesis Testing for Population Means (Sigma Unknown)
10.4 Hypothesis Testing for Population Proportions
10.5 Hypothesis Testing for Population Variances
10.6 Chi-Square Test for Goodness of Fit
10.7 Chi-Square Test for Association
Chapter 10 Review
Chapter 11: Hypothesis Testing (Two or More Populations)
11.1 Hypothesis Testing: Two Population Means (Sigma Known)
11.2 Hypothesis Testing: Two Population Means (Sigma Unknown)
11.3 Hypothesis Testing: Two Population Means (Sigma Unknown, Dependent Samples)
11.4 Hypothesis Testing: Two Population Proportions
11.5 Hypothesis Testing: Two Population Variances
11.6 ANOVA (Analysis of Variance)
Chapter 11 Review
Chapter 12.R: Integrated Review
12.R.1 The Cartesian Coordinate System
12.R.2 Graphing Linear Equations in Two Variables: Ax + By = C
12.R.3 The Slope-Intercept Form: y = mx + b
Chapter 12: Regression, Inference, and Model Building
12.1 Scatter Plots and Correlation
12.2 Linear Regression
12.3 Regression Analysis
12.4 Multiple Regression Equations
Chapter 12 Review
Chapter A: Appendix
A.1 Constructing Samples
A.2 Games of Chance
A.3 Name That Distribution
A.4 Type II Errors
A.5 Direct Mail
A.6 Hypothesis Testing Means (z Value)
A.7 Hypothesis Testing Proportions (z Value)
A.8 ANOVA Regression
A.9 R-Charts
A.10 p-Charts
A.11 c-Charts
A.12 Mean Charts Using Range
A.13 Mean Charts Using s
A.14 Introduction to Estimating Population Means