SlideShare a Scribd company logo
1 of 1
Download to read offline
*Author and researcher
Email address: mutie@usc.edu
1
Comparative Cognitive Task Analysis (CTA) Study
Mathematics - Solving Quadratic Equations by Factorization
Acquillahs M. Mutie, Ed.D.a,b*
, Kenneth A. Yates, Ed.D.b
, Camille Ramos-Beal, Ed.D.a
a
Pomona Unified School District
b
Rossier School of Education, University of Southern California
Introduction
Cognitive task analysis (CTA) seeks to elicit the highly automated and often-unconscious
knowledge experts use to solve difficult problems and perform complex tasks. Students taking algebra find
solving and understanding quadratic equations very challenging yet quadratic equations are a major
component of building mastery in algebra. The purpose of this pilot study was to perform a comparative
experimental study for comparing the CTA guided instruction using a gold standard protocol with the
regular instruction. As part of the comparative analysis, the results will also provide an initial assessment of
the extent to which CTA guided instruction will translate into a K-12 classroom teaching learning
environment.
Pilot Study Question and Methodology
The overriding study question for this pilot study is: Do participants in the experimental group
perform the procedural action and decision steps of solving quadratic equations through the factorization
procedure more accurately and completely than participants in the control group?
Methodology
Eighty-nine high school students participated in the study. A pre-assessment of prior knowledge
was administered to the students in both the control and experimental group with no significant difference
in the results. The experimental group of 29 high school 9th grade algebra students were taught using CTA
techniques that strictly followed a CTA developed protocol for teaching solving quadratic equations while
the control group of 60 high school students were taught using the traditional methods by a highly qualified
teacher with 4 years’ experience in teaching high school mathematics. Only one procedure for solving
quadratic equations was taught, the factorization procedure. This researcher and the other teacher planned
this lesson together and together came up with the lesson notes and examples to be taught to students.
Guided practice for both groups of students used the same questions. This researcher and the other teacher
met twice a week to compare notes and discuss how the students were fairing on.
Post-assessment. Once the control and experimental groups were taught how to solve quadratic
equations using the factorization procedure, both groups were given an assessment to find out if there was
any significant difference in the performance between the students that were taught using the traditional
teaching methods and those taught following CTA guided instruction.
Results and Data Analysis
The results demonstrated a statistically significant difference between the experimental group and
the control group. The mean score of the experimental group was 9.2 points out of a possible score of 10
points with a standard deviation of 1.265 points while the mean of the control group was 6.6 points with a
standard deviation of 2.808 points.
We performed a statistical test at the 𝛼 = 0.01 significance level of the null hypothesis 𝐻!: 𝜇! =
𝜇! where the mean score of the control group (𝜇!) and the mean of the experimental group (𝜇!) were equal
against the alternative hypothesis 𝐻!: 𝜇! < 𝜇!. The sample test statistic was 𝑡 = −5.862, and the p-value =
4.19x10-8
.
Since the experimental group had a mean score of 9.2 on the post assessment, and the control
group had a men score of 6.6. The standard deviations for the two groups, experimental and control were
1.265 and 2.808 respectively. The effect size (Cohen’s d) for this study was calculated to be 1.19. This
means that the average score in the experimental is 1.19 of a standard deviation larger than the mean score
of the control group.
Conclusion
Since the p-value is approximately zero and is less than the significance level, these results give
sufficient evidence to reject the null hypothesis and conclude that the mean score of the experimental group
is significantly greater than the mean score of the control group. In fact an average effect size of 1.19 shows
that students in the experimental classroom improved by 38 percentile points. That is, students scoring at
the 50th
percentile on standardized tests would be predicted to score at the 88th
percentile after being taught
using the CTA methodology and following a gold standard protocol.

More Related Content

What's hot

EdMedia 2011 Lisbon
EdMedia 2011 LisbonEdMedia 2011 Lisbon
EdMedia 2011 Lisbon
David Geelan
 
NTLTC 2011 - student use of academic resources in assignments
NTLTC 2011 - student use of academic resources in assignmentsNTLTC 2011 - student use of academic resources in assignments
NTLTC 2011 - student use of academic resources in assignments
NTLT Conference
 
Analyzing and Using Test Item Data
Analyzing and Using Test Item DataAnalyzing and Using Test Item Data
Analyzing and Using Test Item Data
jasper gaboc
 

What's hot (20)

EdMedia 2011 Lisbon
EdMedia 2011 LisbonEdMedia 2011 Lisbon
EdMedia 2011 Lisbon
 
Research in DE
Research in DEResearch in DE
Research in DE
 
EFFECTIVENESS OF CO-OPERATIVE LEARNING METHOD IN LEARNING OF MATHEMATICS AMON...
EFFECTIVENESS OF CO-OPERATIVE LEARNING METHOD IN LEARNING OF MATHEMATICS AMON...EFFECTIVENESS OF CO-OPERATIVE LEARNING METHOD IN LEARNING OF MATHEMATICS AMON...
EFFECTIVENESS OF CO-OPERATIVE LEARNING METHOD IN LEARNING OF MATHEMATICS AMON...
 
Learning Assistant Research Project
Learning Assistant Research ProjectLearning Assistant Research Project
Learning Assistant Research Project
 
Item analysis
Item analysisItem analysis
Item analysis
 
NTLTC 2011 - student use of academic resources in assignments
NTLTC 2011 - student use of academic resources in assignmentsNTLTC 2011 - student use of academic resources in assignments
NTLTC 2011 - student use of academic resources in assignments
 
Science competency based nat intervention program: PAPER PRESENTATION
Science competency based nat intervention program: PAPER PRESENTATIONScience competency based nat intervention program: PAPER PRESENTATION
Science competency based nat intervention program: PAPER PRESENTATION
 
Best practices lochel
Best practices lochelBest practices lochel
Best practices lochel
 
ITEM ANALYSIS
ITEM ANALYSIS ITEM ANALYSIS
ITEM ANALYSIS
 
Students as producers, of high quality engaging assessments to support learning
Students as producers, of high quality engaging assessments to support learningStudents as producers, of high quality engaging assessments to support learning
Students as producers, of high quality engaging assessments to support learning
 
Item analysis
Item analysisItem analysis
Item analysis
 
Combining asynchronous online discussions with traditional physiology classes
Combining asynchronous online discussions with traditional physiology classesCombining asynchronous online discussions with traditional physiology classes
Combining asynchronous online discussions with traditional physiology classes
 
Ijaprr vol1-2-15-74-79rajeshshiv
Ijaprr vol1-2-15-74-79rajeshshivIjaprr vol1-2-15-74-79rajeshshiv
Ijaprr vol1-2-15-74-79rajeshshiv
 
Jurnal p pt
Jurnal p ptJurnal p pt
Jurnal p pt
 
Item analysis with spss software
Item analysis with spss softwareItem analysis with spss software
Item analysis with spss software
 
Test Construction
Test ConstructionTest Construction
Test Construction
 
New item analysis
New item analysisNew item analysis
New item analysis
 
Chapter iii
Chapter iiiChapter iii
Chapter iii
 
Analyzing and Using Test Item Data
Analyzing and Using Test Item DataAnalyzing and Using Test Item Data
Analyzing and Using Test Item Data
 
EFFECTIVENESS OF INTEGRATING RIDDLES IN TEACHING MATHEMATICS AMONG VIII STAND...
EFFECTIVENESS OF INTEGRATING RIDDLES IN TEACHING MATHEMATICS AMONG VIII STAND...EFFECTIVENESS OF INTEGRATING RIDDLES IN TEACHING MATHEMATICS AMONG VIII STAND...
EFFECTIVENESS OF INTEGRATING RIDDLES IN TEACHING MATHEMATICS AMONG VIII STAND...
 

Similar to CTA Algebra Comparative Pilot Study

ProblemA statistics professor wished to determine whether stud.docx
ProblemA statistics professor wished to determine whether stud.docxProblemA statistics professor wished to determine whether stud.docx
ProblemA statistics professor wished to determine whether stud.docx
wkyra78
 
Week 6 DQ1. What is your research questionIs there a differen.docx
Week 6 DQ1. What is your research questionIs there a differen.docxWeek 6 DQ1. What is your research questionIs there a differen.docx
Week 6 DQ1. What is your research questionIs there a differen.docx
cockekeshia
 
PPT FOR DISTRICT RESEARCH CONGRESS - ver 2-1.pptx
PPT FOR DISTRICT RESEARCH CONGRESS - ver 2-1.pptxPPT FOR DISTRICT RESEARCH CONGRESS - ver 2-1.pptx
PPT FOR DISTRICT RESEARCH CONGRESS - ver 2-1.pptx
IvanhoeBalarote
 
local_media6355515740080111993.pptx
local_media6355515740080111993.pptxlocal_media6355515740080111993.pptx
local_media6355515740080111993.pptx
Jack459165
 

Similar to CTA Algebra Comparative Pilot Study (20)

Mountain Climbing Analogy
Mountain Climbing AnalogyMountain Climbing Analogy
Mountain Climbing Analogy
 
activity based teaching
activity based teachingactivity based teaching
activity based teaching
 
Day 11 t test for independent samples
Day 11 t test for independent samplesDay 11 t test for independent samples
Day 11 t test for independent samples
 
The Effect of Problem-Solving Instructional Strategies on Students’ Learning ...
The Effect of Problem-Solving Instructional Strategies on Students’ Learning ...The Effect of Problem-Solving Instructional Strategies on Students’ Learning ...
The Effect of Problem-Solving Instructional Strategies on Students’ Learning ...
 
Is It the Same? G Yamazaki
Is It the Same? G YamazakiIs It the Same? G Yamazaki
Is It the Same? G Yamazaki
 
THE IMPLEMENTATION OF COOPERATIVE LEARNING BY GIVING INITIAL KNOWLEDGE IN COL...
THE IMPLEMENTATION OF COOPERATIVE LEARNING BY GIVING INITIAL KNOWLEDGE IN COL...THE IMPLEMENTATION OF COOPERATIVE LEARNING BY GIVING INITIAL KNOWLEDGE IN COL...
THE IMPLEMENTATION OF COOPERATIVE LEARNING BY GIVING INITIAL KNOWLEDGE IN COL...
 
Ppt oral
Ppt oralPpt oral
Ppt oral
 
POWER POINT SEMINAR
POWER POINT SEMINARPOWER POINT SEMINAR
POWER POINT SEMINAR
 
ProblemA statistics professor wished to determine whether stud.docx
ProblemA statistics professor wished to determine whether stud.docxProblemA statistics professor wished to determine whether stud.docx
ProblemA statistics professor wished to determine whether stud.docx
 
Ietcpresentation
IetcpresentationIetcpresentation
Ietcpresentation
 
Effects Of Spacing And Mixing Practice Problems
Effects Of Spacing And Mixing Practice ProblemsEffects Of Spacing And Mixing Practice Problems
Effects Of Spacing And Mixing Practice Problems
 
Project Opera (Operation Rational): A Tool In Bridging The Learning GAPS In F...
Project Opera (Operation Rational): A Tool In Bridging The Learning GAPS In F...Project Opera (Operation Rational): A Tool In Bridging The Learning GAPS In F...
Project Opera (Operation Rational): A Tool In Bridging The Learning GAPS In F...
 
Week 6 DQ1. What is your research questionIs there a differen.docx
Week 6 DQ1. What is your research questionIs there a differen.docxWeek 6 DQ1. What is your research questionIs there a differen.docx
Week 6 DQ1. What is your research questionIs there a differen.docx
 
Riza B. Pepito
Riza B. Pepito Riza B. Pepito
Riza B. Pepito
 
PPT FOR DISTRICT RESEARCH CONGRESS - ver 2-1.pptx
PPT FOR DISTRICT RESEARCH CONGRESS - ver 2-1.pptxPPT FOR DISTRICT RESEARCH CONGRESS - ver 2-1.pptx
PPT FOR DISTRICT RESEARCH CONGRESS - ver 2-1.pptx
 
local_media6355515740080111993.pptx
local_media6355515740080111993.pptxlocal_media6355515740080111993.pptx
local_media6355515740080111993.pptx
 
Chapter Three - Evidence-Based Practice
Chapter Three - Evidence-Based PracticeChapter Three - Evidence-Based Practice
Chapter Three - Evidence-Based Practice
 
Writing chapter 3
Writing chapter 3Writing chapter 3
Writing chapter 3
 
Research Procedure
Research ProcedureResearch Procedure
Research Procedure
 
TEACHING STRATEGIES TO ENHANCE MATHEMATICAL THINKING FROM ENVIRONMENTAL SITUA...
TEACHING STRATEGIES TO ENHANCE MATHEMATICAL THINKING FROM ENVIRONMENTAL SITUA...TEACHING STRATEGIES TO ENHANCE MATHEMATICAL THINKING FROM ENVIRONMENTAL SITUA...
TEACHING STRATEGIES TO ENHANCE MATHEMATICAL THINKING FROM ENVIRONMENTAL SITUA...
 

CTA Algebra Comparative Pilot Study

  • 1. *Author and researcher Email address: mutie@usc.edu 1 Comparative Cognitive Task Analysis (CTA) Study Mathematics - Solving Quadratic Equations by Factorization Acquillahs M. Mutie, Ed.D.a,b* , Kenneth A. Yates, Ed.D.b , Camille Ramos-Beal, Ed.D.a a Pomona Unified School District b Rossier School of Education, University of Southern California Introduction Cognitive task analysis (CTA) seeks to elicit the highly automated and often-unconscious knowledge experts use to solve difficult problems and perform complex tasks. Students taking algebra find solving and understanding quadratic equations very challenging yet quadratic equations are a major component of building mastery in algebra. The purpose of this pilot study was to perform a comparative experimental study for comparing the CTA guided instruction using a gold standard protocol with the regular instruction. As part of the comparative analysis, the results will also provide an initial assessment of the extent to which CTA guided instruction will translate into a K-12 classroom teaching learning environment. Pilot Study Question and Methodology The overriding study question for this pilot study is: Do participants in the experimental group perform the procedural action and decision steps of solving quadratic equations through the factorization procedure more accurately and completely than participants in the control group? Methodology Eighty-nine high school students participated in the study. A pre-assessment of prior knowledge was administered to the students in both the control and experimental group with no significant difference in the results. The experimental group of 29 high school 9th grade algebra students were taught using CTA techniques that strictly followed a CTA developed protocol for teaching solving quadratic equations while the control group of 60 high school students were taught using the traditional methods by a highly qualified teacher with 4 years’ experience in teaching high school mathematics. Only one procedure for solving quadratic equations was taught, the factorization procedure. This researcher and the other teacher planned this lesson together and together came up with the lesson notes and examples to be taught to students. Guided practice for both groups of students used the same questions. This researcher and the other teacher met twice a week to compare notes and discuss how the students were fairing on. Post-assessment. Once the control and experimental groups were taught how to solve quadratic equations using the factorization procedure, both groups were given an assessment to find out if there was any significant difference in the performance between the students that were taught using the traditional teaching methods and those taught following CTA guided instruction. Results and Data Analysis The results demonstrated a statistically significant difference between the experimental group and the control group. The mean score of the experimental group was 9.2 points out of a possible score of 10 points with a standard deviation of 1.265 points while the mean of the control group was 6.6 points with a standard deviation of 2.808 points. We performed a statistical test at the 𝛼 = 0.01 significance level of the null hypothesis 𝐻!: 𝜇! = 𝜇! where the mean score of the control group (𝜇!) and the mean of the experimental group (𝜇!) were equal against the alternative hypothesis 𝐻!: 𝜇! < 𝜇!. The sample test statistic was 𝑡 = −5.862, and the p-value = 4.19x10-8 . Since the experimental group had a mean score of 9.2 on the post assessment, and the control group had a men score of 6.6. The standard deviations for the two groups, experimental and control were 1.265 and 2.808 respectively. The effect size (Cohen’s d) for this study was calculated to be 1.19. This means that the average score in the experimental is 1.19 of a standard deviation larger than the mean score of the control group. Conclusion Since the p-value is approximately zero and is less than the significance level, these results give sufficient evidence to reject the null hypothesis and conclude that the mean score of the experimental group is significantly greater than the mean score of the control group. In fact an average effect size of 1.19 shows that students in the experimental classroom improved by 38 percentile points. That is, students scoring at the 50th percentile on standardized tests would be predicted to score at the 88th percentile after being taught using the CTA methodology and following a gold standard protocol.