the connected algebra classroom: a randomized control trial

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The Connected Algebra The Connected Algebra Classroom: Classroom: A Randomized Control A Randomized Control Trial Trial Douglas T. Owens Douglas T. Owens 1 , Stephen J. , Stephen J. Pape Pape 2 , Karen E. Irving , Karen E. Irving 1 , Vehbi , Vehbi A.Sanalan A.Sanalan 3 , , Christy Kim Boscrdin Christy Kim Boscrdin 4 4 , Louis , Louis Abrahamson Abrahamson 5 1 The Ohio State University 1 The Ohio State University 2 University of Florida 2 University of Florida 3 Erzincan University, Turkey 3 Erzincan University, Turkey 4 CRESST/UCLA 4 CRESST/UCLA 5 Better Education Foundation 5 Better Education Foundation The research reported here was supported by the Institute of Education Sciences, U.S. Department of Education, The research reported here was supported by the Institute of Education Sciences, U.S. Department of Education, through Grant R305K050045 to The Ohio State University. The opinions expressed are those of the authors through Grant R305K050045 to The Ohio State University. The opinions expressed are those of the authors and do not represent views of the U.S. Department of Education. and do not represent views of the U.S. Department of Education.

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The Connected Algebra Classroom: A Randomized Control Trial. Douglas T. Owens 1 , Stephen J. Pape 2 , Karen E. Irving 1 , Vehbi A.Sanalan 3 , Christy Kim Boscrdin 4 , Louis Abrahamson 5 1 The Ohio State University 2 University of Florida 3 Erzincan University, Turkey 4 CRESST/UCLA - PowerPoint PPT Presentation

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The Connected Algebra The Connected Algebra Classroom: Classroom: A Randomized Control TrialA Randomized Control TrialDouglas T. OwensDouglas T. Owens11, Stephen J. Pape, Stephen J. Pape22, ,

Karen E. IrvingKaren E. Irving11, Vehbi , Vehbi A.SanalanA.Sanalan33,,Christy Kim BoscrdinChristy Kim Boscrdin44, Louis , Louis AbrahamsonAbrahamson55

1 The Ohio State University1 The Ohio State University2 University of Florida 2 University of Florida 3 Erzincan University, Turkey3 Erzincan University, Turkey4 CRESST/UCLA4 CRESST/UCLA5 Better Education Foundation5 Better Education Foundation

The research reported here was supported by the Institute of Education Sciences, U.S. Department of Education, through Grant The research reported here was supported by the Institute of Education Sciences, U.S. Department of Education, through Grant R305K050045 to The Ohio State University.  The opinions expressed are those of the authors and do not represent views of R305K050045 to The Ohio State University.  The opinions expressed are those of the authors and do not represent views of the U.S. Department of Education.the U.S. Department of Education.

ICME-11 TSG 22ICME-11 TSG 22 22

Additional Research TeamAdditional Research Team

Frank Demana,Frank Demana, Co-PI,Co-PI, The Ohio State UniversityThe Ohio State University

Joan Herman, Joan Herman, Hye Sook ShinHye Sook Shin,, David David Silver,Silver, UCLA, CRESSTUCLA, CRESST; ;

Clare Bell, & Melissa Shirley,Clare Bell, & Melissa Shirley, OSUOSU

Mike Kositzke,Mike Kositzke, Project Program Coordinator, OSUProject Program Coordinator, OSU

Ugur Baslanti,Ugur Baslanti, University of FloridaUniversity of Florida

SSukru Kaya,ukru Kaya, The Scientific and Technological The Scientific and Technological Research Council of TurkeyResearch Council of Turkey

TI Navigator slides adapted from a presentation by TI Navigator slides adapted from a presentation by Eileen Shihadeh, Eileen Shihadeh, Texas InstrumentsTexas Instruments

12 July 200812 July 2008

ICME-11 TSG 22ICME-11 TSG 22 33

CCMSCCMS Project Overview Project Overview

Professional development and Professional development and research project research project

Algebra I and Physical ScienceAlgebra I and Physical Science

Classroom connectivity technologyClassroom connectivity technology

Summer Institute – trainingSummer Institute – training

TT33 conference follow-up, annually conference follow-up, annually

12 July 200812 July 2008

ICME-11 TSG 22ICME-11 TSG 22 44

ICME-11, TSG 22 12 July 2008

The TI-NavigatorThe TI-Navigator™™ Connected Connected ClassroomClassroom

The TI-Navigator The TI-Navigator System allows the System allows the

teacher to:teacher to: Create a collaborative

learning environment

Engage in formative assessment by way of immediate feedback

Enhance classroom management of TI graphing technology

12 July 200812 July 2008

ICME-11 TSG 22ICME-11 TSG 22 55

Theoretical FrameworkTheoretical Framework Social-constructivist models of teaching Social-constructivist models of teaching

and learningand learning

Technology-assisted formative Technology-assisted formative assessmentassessment

Classroom environments that foster self-Classroom environments that foster self-regulated learning and mastery regulated learning and mastery orientation orientation

Classroom discourse processesClassroom discourse processes

Classroom environment centeredness Classroom environment centeredness constructs constructs

12 July 200812 July 2008

ICME-11 TSG 22ICME-11 TSG 22 66

Prior Research Prior Research (Roschelle, Penuel, & Abrahamson, 2004)(Roschelle, Penuel, & Abrahamson, 2004)

Students: Students: Increased student engagement, Increased student engagement,

understanding, and interactivityunderstanding, and interactivity Improved classroom discourseImproved classroom discourseKnowledge of classmates’ learningKnowledge of classmates’ learning

Teachers: Teachers: Improved pre- and post- assessment of Improved pre- and post- assessment of

student learningstudent learning Increased awareness of student difficultiesIncreased awareness of student difficulties Improved questioningImproved questioning

12 July 200812 July 2008

ICME-11 TSG 22ICME-11 TSG 22 77

Research QuestionsResearch Questions How does teachers’ use of How does teachers’ use of

connected classroom technology connected classroom technology affect:affect:1.1. Student achievement in algebra 1?Student achievement in algebra 1?

2.2. Self-regulated learning strategic Self-regulated learning strategic behavior?behavior?

3.3. Student views of mathematics?Student views of mathematics?

12 July 200812 July 2008

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Research DesignResearch Design Year 1 (2005-2006) – Algebra IYear 1 (2005-2006) – Algebra I

Randomized assignment to treatment Randomized assignment to treatment and control/delayed treatment groupsand control/delayed treatment groups

Cross-over design – control group Cross-over design – control group provided treatment in second year of provided treatment in second year of participationparticipation

Mixed methodologyMixed methodology

12 July 200812 July 2008

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ParticipantsParticipants Initial data – 127 Algebra I teachers and 1,761 Initial data – 127 Algebra I teachers and 1,761

students from 28 states students from 28 states

81 (64%) teachers had complete data at the 81 (64%) teachers had complete data at the end of year 1 (Rx = 39; C = 42)end of year 1 (Rx = 39; C = 42)

1,128 students from 68 classrooms (84% of 1,128 students from 68 classrooms (84% of 81) with adequate data (n>9; Rx=617; 50.2% 81) with adequate data (n>9; Rx=617; 50.2% female; C=511; 56.8% female)female; C=511; 56.8% female)

Initial and final samples were not different Initial and final samples were not different on on teacher demographic characteristicsteacher demographic characteristics

Final sample treatment and control differ: % Final sample treatment and control differ: % free/reduced lunch and school locationfree/reduced lunch and school location

12 July 200812 July 2008

ICME-11 TSG 22ICME-11 TSG 22 1010

Teacher Demographic InformationTeacher Demographic InformationOriginal Randomized SampleOriginal Randomized Sample

TreatmentTreatment ControlControl

No. of teachersNo. of teachers 6161 6666

% Female% Female 70.570.5 77.377.3

% White% White 91.891.8 83.383.3

% Math majors% Math majors 65.065.0 83.683.6

XX SDSD XX SDSD

Yrs Tchg ExperYrs Tchg Exper 12.312.3 9.39.3 14.014.0 9.99.9

Yrs Alg TchgYrs Alg Tchg 6.66.6 7.27.2 9.39.3 8.08.0

% Free Lunch % Free Lunch (at (at school level)school level)

25.125.1 26.226.2 24.224.2 20.220.2

% Minority % Minority (at school (at school level)level)

23.023.0 29.529.5 23.723.7 26.826.8

12 July 200812 July 2008

ICME-11 TSG 22ICME-11 TSG 22 1111

Teacher Demographic InformationTeacher Demographic InformationHLM SampleHLM Sample

TreatmentTreatment ControlControl

No. of teachersNo. of teachers 3434 3434

% Female% Female 70.670.6 70.670.6

% White% White 97.197.1 88.288.2

% Math majors% Math majors 73.573.5 82.482.4

XX SDSD XX SDSD

Yrs Tchg ExperYrs Tchg Exper 13.213.2 7.27.2 15.615.6 10.610.6

Yrs Alg TchgYrs Alg Tchg 7.47.4 5.65.6 10.010.0 8.88.8

% Free Lunch % Free Lunch (at (at school level)school level)

16.416.4 15.715.7 24.624.6 18.118.1

% Minority % Minority (at school (at school level)level)

14.714.7 21.021.0 18.818.8 22.322.312 July 200812 July 2008

ICME-11 TSG 22ICME-11 TSG 22 1212

Teacher Data CollectionTeacher Data Collection

Demographic Information FormDemographic Information Form

Technology Use and Professional Technology Use and Professional Development SurveyDevelopment Survey

Teacher Instructional Practices and Teacher Instructional Practices and Beliefs Survey (TIPBS)Beliefs Survey (TIPBS)

Implementation—Teacher Interviews Implementation—Teacher Interviews (inter-rater reliability ranged from .80 to (inter-rater reliability ranged from .80 to 1.00)1.00)

Level of content implementationLevel of content implementation12 July 200812 July 2008

ICME-11 TSG 22ICME-11 TSG 22 1313

Student MeasuresStudent Measures

Algebra I pretestAlgebra I pretest Algebra I posttestAlgebra I posttest

Total scoreTotal score Visual, Mechanical, and Pure Symbolic Visual, Mechanical, and Pure Symbolic

subtestssubtests Student Beliefs about MathematicsStudent Beliefs about Mathematics Motivated Strategies for Learning Motivated Strategies for Learning

Questionnaire Questionnaire (Pintrich, Smith, Garcia, & (Pintrich, Smith, Garcia, & McKeachie, 1991)McKeachie, 1991)

12 July 200812 July 2008

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Measures – Algebra IMeasures – Algebra I Algebra pretest – 30 item; 23 multiple choice, 3 Algebra pretest – 30 item; 23 multiple choice, 3

short-answer, and 4 extended response short-answer, and 4 extended response Algebra post-test – 30 items; 24 multiple choice, 1 Algebra post-test – 30 items; 24 multiple choice, 1

short-answer, and 5 extended responseshort-answer, and 5 extended response 11 items overlap between the pre- and post-tests11 items overlap between the pre- and post-tests

TreatmentTreatment ControlControl

XX SDSD SS SDSD

Algebra Pre Algebra Pre (36 maximum)(36 maximum)

18.8018.80 5.005.00 18.3018.30 5.805.80 .81.81

Algebra PostAlgebra Post(37 maximum)(37 maximum)

21.4021.40 7.207.20 18.9018.90 7.207.20 .85.85

12 July 200812 July 2008

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Student Views about MathematicsStudent Views about MathematicsTreatment Treatment

(n = 442)(n = 442)Control Control (N = 515)(N = 515)

(Scale = 1 to 6 for all (Scale = 1 to 6 for all subscales)subscales) XXpostpost SDSD XXpostpost SDSD

Beliefs about MathBeliefs about Math(14 items)(14 items)

4.254.25 .57.57 4.184.18 .60.60 .82.82

ConfidenceConfidence(5 items)(5 items)

3.923.92 .92.92 3.883.88 .96.96 .69.69

Math AnxietyMath Anxiety(5 items)(5 items)

3.673.67 .78.78 3.713.71 .75.75 .79.79

UsefulnessUsefulness(6 items)(6 items)

4.484.48 .94.94 4.474.47 1.041.04 .82.82

Self-EfficacySelf-Efficacy(4 items)(4 items)

4.554.55 1.071.07 4.354.35 1.131.13 .88.88

12 July 200812 July 2008

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Motivated Strategies for Motivated Strategies for Learning QuestionnaireLearning Questionnaire

6 Motivation subconstructs6 Motivation subconstructs Intrinsic/Extrinsic Goal Orientation; Task Value; Intrinsic/Extrinsic Goal Orientation; Task Value;

Control of Learning Beliefs; Self-Efficacy; Control of Learning Beliefs; Self-Efficacy; Test Test AnxietyAnxiety

Alpha range = 0.67 to 0.92Alpha range = 0.67 to 0.92 5 Learning Strategies subconstructs5 Learning Strategies subconstructs

Rehearsal; Elaboration; Organization; Critical Rehearsal; Elaboration; Organization; Critical Thinking; Thinking; Metacognitive Self-RegulationMetacognitive Self-Regulation

Alpha range = 0.73 to 0.80Alpha range = 0.73 to 0.80 4 Resource Management Strategies 4 Resource Management Strategies

SubconstructsSubconstructs Time and Study Environment; Effort Regulation; Time and Study Environment; Effort Regulation;

Peer Learning; Peer Learning; Help Seeking Help Seeking Alpha range = 0.50 to 0.65Alpha range = 0.50 to 0.65

12 July 200812 July 2008

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Data AnalysesData Analyses Cronbach’s alpha reliability estimatesCronbach’s alpha reliability estimates IRT analysis conducted to ensure technical IRT analysis conducted to ensure technical

quality of Algebra pre- & post-testquality of Algebra pre- & post-test Hierarchical Linear Modeling (HLM) to Hierarchical Linear Modeling (HLM) to

examine effect of treatment examine effect of treatment Accounting for nested dataAccounting for nested dataPretest data included as covariatePretest data included as covariateTwo-level models consisting of within-class Two-level models consisting of within-class

(level 1) and between-class (level 2)(level 1) and between-class (level 2)

12 July 200812 July 2008

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ResultsResults Significant treatment effectSignificant treatment effect (ES=0.30) after (ES=0.30) after

controlling for student pretest scores, teacher’s controlling for student pretest scores, teacher’s years of experience, teacher’s gender, and percent years of experience, teacher’s gender, and percent of free/reduced lunch of free/reduced lunch

Students taught by treatment group teachers performed Students taught by treatment group teachers performed about 2 out of 37 points higher than control studentsabout 2 out of 37 points higher than control students

Level of teacher knowledge about students Level of teacher knowledge about students as a result of TI-Navigator use was positively as a result of TI-Navigator use was positively related to with student performance (ES=0.36)related to with student performance (ES=0.36)

FrequencyFrequency and and level of technology level of technology implementationimplementation as well as as well as level of level of instructionalinstructional changechange with technology were not with technology were not associated with the outcome associated with the outcome

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ResultsResults Teaching experience was positively Teaching experience was positively

associated with achievementassociated with achievement

Percentage free/reduce lunch not associated Percentage free/reduce lunch not associated with outcomewith outcome

Students of Students of female teachers performed female teachers performed higherhigher than male teachers (ES = .41) than male teachers (ES = .41)

Level of content coverage (implementation) Level of content coverage (implementation) was not associated with student performancewas not associated with student performance

None of the other teacher survey constructs None of the other teacher survey constructs were associated with student outcomewere associated with student outcome

12 July 200812 July 2008

ICME-11 TSG 22ICME-11 TSG 22 2020

ResultsResults On On visual dimension, visual dimension, after controlling for after controlling for

percentage of free/reduced lunch, positive percentage of free/reduced lunch, positive association between outcome and …association between outcome and … Treatment status (ES = 0.34)Treatment status (ES = 0.34) Frequency of technology use (ES = 0.32) Frequency of technology use (ES = 0.32) Level of teacher knowledge about students as a Level of teacher knowledge about students as a

result of TI-Navigator use (ES = 0.40) result of TI-Navigator use (ES = 0.40) level of instructional change with technologylevel of instructional change with technology (ES (ES

= 0.48)= 0.48) For For mechanicalmechanical and and pure symbolicpure symbolic

questions, none of the variablesquestions, none of the variables were were positively associated with the outcomepositively associated with the outcome

12 July 200812 July 2008

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Results Results (con’t)(con’t)

Treatment positively affected student Treatment positively affected student Self-efficacy/math performance Self-efficacy/math performance expectations with expectations with (ES=0.16)(ES=0.16)

No differences for beliefs about No differences for beliefs about mathematics, confidence, anxiety, or mathematics, confidence, anxiety, or usefulness related to treatmentusefulness related to treatment

No differences for motivation, learning No differences for motivation, learning strategies, or resource management strategies, or resource management strategies related to treatmentstrategies related to treatment

12 July 200812 July 2008

You may download You may download papers and PowerPoint papers and PowerPoint from the project website from the project website

atat

http://ccms.osu.edu/http://ccms.osu.edu/