OVERVIEW - Intro POD OVERVIEW Point of Dispensing (POD) Overview for Communities.
Overview
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OverviewPaper #1 - An efficacy trial of Word Generation: Results from the first year of a
randomized trialJoshua F Lawrence (University of California, Irvine), E. Juliana Paré-Blagoev (Strategic Education Research
Partnership), Amy Crosson (LRDC, University of Pittsburgh), David Francis (University of Houston), Catherine E. Snow (Harvard University)
Paper #2 - Patterns of Students’ Vocabulary Improvement from One-time Instruction and Review Instruction
Wenliang He (University of California, Irvine), Emily Galloway, Claire White, Catherine Snow (Harvard University), Judy Hsu (University of Illinois at Urbana-Champaign)
Paper #3 Engaging Middle School Students in Classroom Discussion of Controversial Issues
Alex Lin (University of California, Irvine), Joshua F Lawrence (University of California, Irvine), Patrick Hurley (Strategic Education Research Partnership)
Paper #4 - Heterogeneous Treatment Effects for Redesignated Fluent English Proficient Middle School Students
Jin Kyoung Hwang (University of California, Irvine), Joshua F Lawrence (University of California, Irvine), Elaine Mo (University of the Pacific), Patrick Hurley (Strategic Education Research Partnership)
Academic Vocabulary Instruction Across the Content Areas: Results from a Randomized Trial
of the Word Generation Program
Word Generation: Weekly Schedule
MondayParagraphintroduces
words
Tuesday-ThursdayMath-Science-Social Studies
FridayWriting withfocus words
Day 1 - Launch Introduction to weekly passage, containing academic vocabulary, built around a question that can support discussion and debate, (comprehension questions, student friendly definitions included)
Day 2 - Science Thinking experiments to promote discussion and scientific reasoning
Topic: not directly related to stem cell research but clearly a link could be madeTarget Words: investigate, theory, obtain Background Information: Countries have different views about citizens carrying guns. In some countries the import and export of guns is illegal. Subsequently, no citizen can obtain a gun in those countries (text continues).Questions: Are people more aggressive in countries that allow handguns?Hypothesis: Citizens of countries that allow handguns are more aggressive than citizens of countries that do not.Materials: Procedure: Data: Conclusion:What evidence do you have that supports your conclusion?
Day 3 - MathMathematics problems using some of the target words:a) Students can
work in pairsb) Whole class
discussionc) Open-response
(show/explain how you got your answer)
1. Some people believe that embryonic stem cell research is important. They think this because scientists use these cells to investigate diseases. Scientists try to find cures for these diseases, and for conditions like paralysis. Other people believe that embryonic stem cell research is wrong. They think this because scientists must destroy embryos to obtain these cells. In a recent poll, 40.75% of people said that the government should not pay for embryonic stem cell research. Which decimal is equivalent to 40.75%? A) 4.075B) .4075 *C) .04075D) .02
Day 4- Social StudiesDeveloping positions on the issue set out in the passage, to help the class frame the debate.
Positions:1. Scientists should not be
allowed to investigate cures for disease using stem cells from embryos. This is trying to “play God”.
2. Destroying an embryo to get the stem cells is murder.
3. The government should pay for embryonic stem cell research. This could lead to cures for many injuries and diseases.
4. Scientists should be allowed to do research on embryonic stem cells, but the government should not pay for it because many taxpayers oppose it.
Note: these are optional. The class may want to develop its own positions!
Day 5 - ELA
Writing Activity:
Should the government pay for stem cell research?
Give evidence to support your position.
Mon – Introduce words in ELA class
Tues – Math activity with target words
Wed – Social studies debate
Thurs – Science activity with target words
Friday – Writing activity
Focus on classroom discussion
• There are some studies on talk exposure and peer interactions and vocabulary for young children
• Studies on discussion of older children have examined outcomes like reading comprehension, math, science, and philosophy content.
• Connections to ELA and SS student outcomes is strong.
Research QuestionsHow engaging were classroom discussions in treatment and
control schools? Were there differences in quality across content areas? Did schools that participated in the Word Generation program demonstrate improved classroom discussion?
Did participating in the Word Generation program impact students’ knowledge of the academic words taught? Did participation effect students’ general vocabulary knowledge?
Did improved classroom discussion mediate the impact of the Word Generation program on students’ academic vocabulary knowledge?
District / School School Code District Grade 6
ContributionGrade 7
ContributionGrade 8
ContributionTotal
Contribution
Control Schools 1 1 11 17 0 283 1 24 15 0 395 1 24 19 0 436 1 38 17 0 5511 1 17 25 15 5713 1 27 43 59 12920 1 11 12 0 2335 1 21 14 17 5236 1 69 74 0 14330 2 7 0 0 731 2 6 4 0 1032 2 12 0 0 1233 2 14 10 0 24
Total 281 250 91 622
Word Generation Schools 8 1 0 29 0 29
9 1 39 28 11 7810 1 41 41 26 10812 1 32 33 23 8815 1 0 60 0 6016 1 54 87 115 25617 1 5 0 0 518 1 43 29 0 7221 2 0 5 0 522 2 0 0 12 1223 2 18 13 17 4824 2 0 0 15 1525 2 0 45 0 4526 2 0 60 0 6027 2 0 0 51 51
Total 232 430 270 932
Support for Participation (1 – 3)
the teacher created a well-ordered and respectful environment that enabled engagement with lesson content and participation in the discussion
• 1 was reserved for classrooms that were chaotic or there was student hostility or lack of participation
• 3 points were scored if nearly all students appeared consistently engaged with minimal side talk and distractions
Student Engagement (1 – 3)
percent of students participating or attending to the classroom discussion.
• 1 was awarded if around a quarter of the students participated in discussion during the observation period
• 3 was awarded when 50% to 100% of students participated in discussion
Teacher Talk Moves (1 – 5)
Teachers’ use of open-ended questions and follow-up questions asking students to explain their thinking or provide evidence for their ideas.
• 1 was given to classroom discussions in which all teacher questions had single, known answers (closed questions).
• 5 reserved for classrooms where the teacher initiated a range of question types including open-ended questions and also asked students to provide evidence or explain their ideas more clearly.
Substantive contributions (1 – 5)
The level of students’ contributions to the discussion was rated on a five point scale.
• 1 perfunctory answers were given the lowest ratings• 5 multiple students elaborated ideas and explaining
their thinking while providing evidence. (In these classrooms students also asked each other to explain their thinking or explicitly link their own to others’ contributions.)
Composite Scores
Composite Discussion Quality Rating (1 – 4) – Overall quality score for each class.
Weighted School Level Discussion Quality Ratings (z score
0
10
20
30
Feb Mar Apr May Jun Feb Mar Apr May Jun
Control Schools Word Generation SchoolsN
umbe
r of O
bser
vatio
ns
Observation Date
Academic Vocabulary Knowledge
• 36-item multiple-choice test
General Vocabulary Knowledge
Participants completed level 6 or level 7/9 of the Gates-MacGinitie vocabulary assessment (depending on their grade level)..
Covariates
Grade-level proficiency scores
School percent free and reduced lunch
School percent special education
Student grade level
RQ1
How engaging were classroom discussions in treatment and control schools? Were there differences in quality across content areas? Did schools that participated in the Word Generation program demonstrate improved classroom discussion?
0
10
20
30
1 2 3 4 1 2 3 4
Control Schools Word Generation SchoolsN
umbe
r of O
bser
vatio
ns
Composite Discussion Quality Rating
Content-Area Observed
Control Schools
Word Generation
SchoolsTotal
Difference (WG - Control
Schools)
Effect size
(Cohen's d)
Mean n Mean n Mean n
Math (n = 48) 1.85 25 2.90 23 2.35 48 + 1.05 1.08
(0.80) (0.84) (0.97)Science (n = 47) 1.85 27 2.28 20 2.03 47 + 0.43 0.47
(0.85) (0.93) (0.90)Social Studies(n = 54) 2.24 24 2.59 30 2.43 54 + 0.35 0.41
(0.83) (0.86) (0.86)ELA (n = 63) 2.26 36 2.55 27 2.39 64 + 0.29 0.35
(0.89) (0.73) (0.82)Total (n = 213 ) 2.07 113 2.59 100 2.31 213 + 0.52 0.58 (0.86) (0.85) (0.89)
RQ2
Did participating in the Word Generation program impact students’ knowledge of the academic words taught? Did participation affect students’ general vocabulary knowledge?
Treatment Effect
=
Effect Sizes (Student Level)
Outcome Measure
Overall Sample Mean Control Word Generation
Pre Post n Pre Post n δC Pre Post n δT δT - δC
Effect Size
Academic Vocabulary 18.58 19.94 1540 18.04 18.8 618 0.76 18.94 20.7 922 1.76 1.00 0.16
(6.21) (7.08) (6.02) (6.83) (6.21) (7.14)
Gates-MacGinitie Vocabulary 505.26 510.9 1400 501.54 508.44 570 6.9 507.5 512.59 830 5.05 -1.85 -0.06
(32.46) (35.0) (33.49) (36.37) (31.6) (33.87)
Basic Model
+ + + +
HLM Predicting Student
Knowledge of
Academic Words
Model A Model B With co variates
Outcome Academic Vocabulary
Academic Vocabulary
Academic Vocabulary Teaching Team Mean
0.837*** 0.840***
(0.097) (0.145)
Academic Vocabulary Teaching Team Mean Centered
0.697*** 0.697***
(0.024) (0.024)Treatment 1.264* 1.551**
(0.500) (0.501)Intercept 3.397 4.581
(1.757) (4.342)
Level 2 Variance (Teaching Team) 28.29*** 28.24***
(0.517) (0.516)Residual 1.775 1.555
(0.313) (0.283)N 1554 1554-2LL 9654.227 9647.524Standard errors in parentheses* p < 0.05, ** p < 0.01, *** p < 0.001
Model C Model DWith Covariates
Outcome Gates MacGinitie Vocabulary
Gates MacGinitie Vocabulary
Gates MacGinitie Vocabulary Teaching Team Mean
0.691*** 0.580***
(0.070) (0.086)
Gates MacGinitie Vocabulary Teaching Team Mean Centered
0.798*** 0.798***
(0.022) (0.022)Treatment 0.0151 -0.373
(2.323) (2.167)Intercept 160.9*** 235.2***
(34.920) (43.480)
Level 2 Variance (Teaching Team) 530.7*** 530.7***
(10.180) (10.180)Residual 40.88*** 27.25***
(6.785) (5.360)N 1416 1416-2LL 12956.545 12944.513
Standard errors in parentheses
* p < 0.05, ** p < 0.01, *** p < 0.001
HLM Predicting Student
knowledge of Gates Vocab
RQ3
Did improved classroom discussion mediate the impact of the Word Generation program on students’ academic vocabulary knowledge?
c prime path a path b path
Outcome Academic
Vocabulary (Post)
Composite Discussion
Quality Rating
Academic Vocabulary
(Post)Academic Vocabulary (Pre) 0.700*** 0.138*** 0.696***
(0.024) (0.031) (0.024)Treatment 1.633** 0.396* 1.271*
(0.530) (0.167) (0.560)Composite Discussion Score 0.533
(0.376)Intercept 5.812*** -2.789*** 6.090***
(0.567) (0.567) (0.586)Level 2 Variance (Teaching Team) 2.108* 1.775
(0.375) (0.334)Residual 28.38*** 28.38***
(0.538) (0.538)N 1446 1446 1446
c prime path a path b path
Outcome Academic
Vocabulary (Post)
Composite Discussion
Quality Rating
Academic Vocabulary
(Post)Academic Vocabulary (Pre) 0.700*** 0.138*** 0.696***
(0.024) (0.031) (0.024)Treatment 1.633** 0.396* 1.271*
(0.530) (0.167) (0.560)Composite Discussion Score 0.533
(0.376)Intercept 5.812*** -2.789*** 6.090***
(0.567) (0.567) (0.586)Level 2 Variance (Teaching Team) 2.108* 1.775
(0.375) (0.334)Residual 28.38*** 28.38***
(0.538) (0.538)N 1446 1446 1446
c prime path a path b path
Outcome Academic
Vocabulary (Post)
Composite Discussion
Quality Rating
Academic Vocabulary
(Post)Academic Vocabulary (Pre) 0.700*** 0.138*** 0.696***
(0.024) (0.031) (0.024)Treatment 1.633** 0.396* 1.271*
(0.530) (0.167) (0.560)Composite Discussion Score 0.533
(0.376)Intercept 5.812*** -2.789*** 6.090***
(0.567) (0.567) (0.586)Level 2 Variance (Teaching Team) 2.108* 1.775
(0.375) (0.334)Residual 28.38*** 28.38***
(0.538) (0.538)N 1446 1446 1446
c prime path a path b path
Outcome Academic
Vocabulary (Post)
Composite Discussion
Quality Rating
Academic Vocabulary
(Post)Academic Vocabulary (Pre) 0.700*** 0.138*** 0.696***
(0.024) (0.031) (0.024)Treatment 1.633** 0.396* 1.271*
(0.530) (0.167) (0.560)Composite Discussion Score 0.533
(0.376)Intercept 5.812*** -2.789*** 6.090***
(0.567) (0.567) (0.586)Level 2 Variance (Teaching Team) 2.108* 1.775
(0.375) (0.334)Residual 28.38*** 28.38***
(0.538) (0.538)N 1446 1446 1446
c prime path a path b path
Outcome Academic
Vocabulary (Post)
Composite Discussion
Quality Rating
Academic Vocabulary
(Post)Academic Vocabulary (Pre) 0.700*** 0.138*** 0.696***
(0.024) (0.031) (0.024)Treatment 1.633** 0.396* 1.271*
(0.530) (0.167) (0.560)Composite Discussion Score 0.533
(0.376)Intercept 5.812*** -2.789*** 6.090***
(0.567) (0.567) (0.586)Level 2 Variance (Teaching Team) 2.108* 1.775
(0.375) (0.334)Residual 28.38*** 28.38***
(0.538) (0.538)N 1446 1446 1446
𝑻𝑹𝑬𝑨𝑻 𝒋
𝑫𝒊𝒔𝒄𝒖𝒔𝒔𝒊𝒐𝒏 𝒋0.396*
Multilevel Mediation Model
𝑻𝑹𝑬𝑨𝑻 𝒋
𝑫𝒊𝒔𝒄𝒖𝒔𝒔𝒊𝒐𝒏 𝒋
𝑽𝑶𝑪𝑨𝑩𝒊𝒋
0.396*
Multilevel Mediation Model
1.633**
𝑻𝑹𝑬𝑨𝑻 𝒋
𝑫𝒊𝒔𝒄𝒖𝒔𝒔𝒊𝒐𝒏 𝒋
𝑽𝑶𝑪𝑨𝑩𝒊𝒋
0.396*
Multilevel Mediation Model
0.533
1.633**
𝑻𝑹𝑬𝑨𝑻 𝒋
𝑫𝒊𝒔𝒄𝒖𝒔𝒔𝒊𝒐𝒏 𝒋
𝑽𝑶𝑪𝑨𝑩𝒊𝒋
0.396*
Multilevel Mediation Model
0.533
1.633**
indirect effect = .396*.533 = .211total effect = indirect effect + direct effect = 0.211 + 1.28 = 1.48
Bootstrapping
Coefficient Standard Error z p value 95% Confidence Interval
Indirect Effect 0.21 0.10 2.22 0.03 0.02 0.40
Direct Effect 1.28 0.31 4.06 > 0.001 0.66 1.90
Total Effect 1.49 0.30 4.99 > 0.001 0.90 2.07
command: ml_mediation, dv(WGV_TCTR_W2) iv(TREAT) mv(wrub_tot_SM_Y1) cv(WGV_TCTR) l2id(unit)
Conclusions
Changes in curricular materials can improve discussion.
A free, low “implementation cost” program can have credible effects.
The proportion of total effect of Word Generation mediated through improved discussion is 0.14.
Limitation and questions
How can we further improve discussion?
Does improved discussion transfer?
What are the other effective pathways for student learning from WG?
Patterns of Students’ Vocabulary Improvement from One-time Instruction and Review Instruction
Wenliang He, Joshua Lawrence (University of California, Irvine)
Emily Galloway, Claire White, Catherine Snow (Harvard University)
Judy Hsu (University of Illinois at Urbana-Champaign)
Background
Vocabulary knowledge is positively correlated with reading skills.
Prior research has focused on studies of factors that impact the learning of academic vocabulary (e.g. frequency, exposure, prior knowledge) and effective vocabulary intervention techniques (e.g. multimodal enhancement, active processing, mnemonics).
Regardless of the importance and the prevalence of vocabulary instruction in schools, few classroom-based intervention studies have been conducted on learning the effect of review (second-time) instruction.
Research Questions
What factors predict students’ improvement in vocabulary knowledge from first-time instruction in the WG program?
Can review (second-time instruction) significantly contribute to additional improvement in vocabulary knowledge to first-time instruction?
Research Design
Group A151 students
Group B159 students
Pre-test Right before program started
Review
5 words/weekfor 7 weeks
5 words/weekfor 7 weeks
7 Yellow Words 7 Red Words5 words/weekfor 4 weeks
5 words/weekfor 4 weeks
Post-test By the end of the 12th week
Research DesignOverview of Yellow, Red and Core Instructional Words
Yellow Words Red Words Core Instruction Words
Count 7 7 34 adequate
(1)formulate
(8)recite (15)
conclusion (16)
invasion (17)
components (18)
critical (19)
relevant (2)
retain (9)
cohesion (20)
equity (21)
documented (22)
interaction (23)
altered (24)
capacity (3)
distribute (10)
constrain (25)
contaminated (26)
eligible (27)
complex (28)
distinct (29)
Word List
Contrast(4)
logical (11)
amended (30)
apathy (31)
maintained (32)
Concept (33)
Attributes (34)
assess (5)
disproportionate (12)
generate (35)
enforced (36)
perceived (37)
perspective (38)
conserve (39)
paralyzed (6)
obtain (13)
incentives (40)
amnesty (41)
acquired (42)
prescribed (43)
proceeded (44)
emphasize
(7)restrict
(14) enable (45)
excluded (46)
aptitude (47)
assumed (48)
Analysis & Results (Q1) What factors predict students’ improvement in vocabulary knowledge
from first-time instruction in the WG program?
1 2 3 4 51. Percent Correct in Pretest 1 2. Percent Correct in Posttest 0.90*** 13. Word Frequency 0.34* 0.30* 14. Week of Instruction -0.02 -0.04 0.09 1
5. Improvement -0.23(p=0.11)
0.2(p=0.17)
-0.09(p=0.53)
-0.03(p=0.86) 1
Note. * p < .05. *** p < .001. (two-tailed t-tests)Percent Correct is the percentage of students who are correct in a multiple choice question, testing on a specific word in either pre or post test.
Correlations between Measures from One-time Instruction Data
Analysis & Results (Q1)
Percent Correct at Pretest (%)
Word Count
Mean Percent Improvement (%)
SD (%)
Min (%)
Max (%)
0 P+ 100≦ ≦ 48 10.59 8.56 -4.77 46.00Below Average 26 11.06 10.61 -4.77 46.00Above Average 22 10.04 5.43 0.59 20.16
Detailed Breakdown 10-20 4 18.37 19.35 0.89 46.0020-30 5 11.60 13.43 -4.77 30.8530-40 7 7.11 3.14 3.22 12.5640-50 11 11.49 8.17 -0.16 22.6550-60 9 12.40 3.92 5.01 17.2160-70 4 8.63 6.55 1.10 16.2970-80 5 8.83 3.74 5.76 14.7080-90 3 3.46 2.57 0.59 5.56
Analysis & Results (Q1)
1520
25
30
354045
16
21
26
31
36
41
46
17 22
27 32
37 4247
18
23
28
3338
4348
19
24
29
34
3944
assessrelevant
capacities
paralyzed
emphasized
contrast
adequatedistribute
obtain
disproportionately
formulated
restricted
logical
retain
amnesty0
1020
3040
50Im
prov
emen
t fro
m In
stru
ctio
n
10 20 30 40 50 60 70 80 90Percentage of Students Correct at Pretest
. Yellow Words Red Words Fitted values
Analysis & Results (Q1)Improvement for words with above average difficulties
relevant
capacities
distribute
obtain
enable
conclusion
formulated
contaminated
logical
retain
documented
maintained
perceivedacquired
perspective
prescribedassumed
attributes
conserve
excluded
eligible
proceeded
0
5
10
15
20
Impr
ovem
ent f
rom
Inst
ruct
ion
50 60 70 80 90Percentage of Students Correct at Pretest
Fitted values
β = -0.61, p < 0.01
Analysis & Results (Q1)Improvement for words with below average difficulties
recitecohesion
constrain
amended
assess
paralyzed
emphasized
contrast
disproportionately
equityrestricted
apathy
enforced
amnesty
invasionaptitude
components
interaction
complex
concept
criticaldistinct
generateincentives adequate
altered
0
10
20
30
40
50Im
prov
emen
t fro
m In
stru
ctio
n
10 15 20 25 30 35 40 45 50Percentage of Students Correct at Pretest
Fitted values
β = -0.20, p = 0.32
Analysis & Results (Q2) Can review significantly contribute to additional improvement in
vocabulary knowledge to first-time instruction?
Instruction
Review
Instruction
Review
0
5
10
15
20
25
30
35
Impr
ovem
ent i
n Pe
rcen
t Cor
rect
Red Words Yellow Words
Group A Group B
Analysis & Results (Q2)
Overview of Review Impacts by Word Groups
Word Groups Word Count Review Impact (%) S.E.(%) p (two-tailed)All Words 14 2.58 1.71 0.16
Hard Words 7 -1.36 2.32 0.58Easy Words 7 6.51 1.47 0.004
Words below the 48% cut-off were recoded as Hard Words, and those above were recoded as Easy Words.
Conclusion
The effects of one-time instruction and review instruction depend on students’ prior word knowledge, reflected by the percentage of student correct at pretest.
For moderately difficult words, i.e. percent correct values greater than 48% in this study, improvement from one-time instruction is stronger for harder words than for easier words. However, if words are exceedingly difficulty, none of the measure in this study can effectively predict improvement from one-time instruction.
Conclusion
Review instruction is most effective (p = 0.004) when students are reasonably familiar with the words, i.e. percent correct values greater than 48%. In this case, review contributes an extra 6.51% improvement compared with the 10.04% improvement from first-time instruction.
Learning overly unfamiliar words twice, however, does not have any statistically significant effect over one-time instruction (p = 0.58).
Implications
This study indicates that
(a) effects of vocabulary instruction is most predictable with Goldilocks words, as students do not benefit as much with either overly simple or exceedingly hard words;
(b) prior knowledge is crucial in explicit vocabulary instruction
(c) teaching difficult words may necessitate more effective instruction techniques.
Thank You
Engaging Middle School Students in Classroom Discussion of Controversial Issues
Alex Lin Dr. Joshua Lawrence
Civic engagement
Declining voting turnout
Declining rate of civic knowledge
Importance of stimulating news media use and political discussion at home
Discussion of Controversial Issues
One way of improving civic knowledge is using controversial issues as topics for classroom discussion
McDevitt and Chaffee (2000) found that enrollment in Kids Vote was positively related to students’ habit of initiating political discussion at home
Hess and Posselt (2002) found that enrollment in the Public Issues was related to students making 70% more contributions in classroom discussion.
What about middle school students?
Program Features
In the Word Generation program:
Students are exposed to daily discussions of controversial topics
Different topic each week
Students take a position on an issueTeacher facilitates classroom debate
Grade 6 Grade 7 Grade 8
YEAR 1 TAUGHT
- Should colleges use Affirmative Action?
- Should the government fund stem cell research?
- Should Creation be taught in school?
- Should English be the official language of the United States?
- Is nuclear power a danger to society?
YEAR 2 TAUGHT - Should there be more strict dress codes at schools?- Is the death penalty justified?- Does rap music have a negative impact on students?- What should be done about global warming?- Should the government allow animal testing?
NON-TAUGHT TOPICS
- Should schools protect students from cyberbullying?
- Should schools be a place for debates?
- Should secret wiretapping be legal?
- Should schools have a vocational track?
Breakdown of Controversial Topics (Year 1 and Year 2) in Two Years of WG Program
Year 1 (Fall 2010 – Spring 2011)
Year 2 (Fall 2011 – Spring 2012)
1 1 & 2 1 & 2
Research Questions:
(1) In the First Year Sample (6th Graders only)How do students enrolled in Word Generation compare with control students, in terms of their confidence to participate in a discussion of controversial topics?
(2) In the Second Year Sample (7th and 8th Graders)How do students enrolled in Word Generation compare with control students, in terms of their confidence to participate in a discussion of controversial topics?
MethodsSurveys administered in May 2012 (2nd year of the study)Students were assessed the question:
How confident are you in being able to participate in a discussion about the following topics?
- 14 topic questions from the year 1, year 2 and non-taught topics
- Students responded about their discussion confidence level from (1) “not at all” to (5) “extremely”
Methods: Participants Grade Level Contributions by Schools
6 7 8 TOTALWord Generation 1,163 1,167 1,121 3,430
Control
617 482 694 1,793
TOTAL 1,780 1,649 1,815 5,223
Analysis Plan
For each sample (6th) and (7th + 8th) graders: Compare discussion confidence levels on the 14 controversial topics between
students enrolled in the WG program and control groups
Compare discussion confidence levels between students enrolled in the WG program with control groups on TAUGHT and NON-TAUGHT topics
Results
Should
there
be m
ore st
rict d
ress c
odes
at sc
hools
?
Is th
e dea
th pe
nalty
justi
fied?
Does r
ap m
usic
have
a ne
gativ
e impa
ct on
stud
ents?
Wha
t sho
uld be
done
abou
t glob
al warm
ing?
Should
the g
overn
ment a
llow an
imal
testin
g?
Should
colle
ges u
se A
ffirmati
ve A
ction
?
Should
the g
overn
ment fu
nd st
em ce
ll res
earch
?
Should
Crea
tion b
e tau
ght in
scho
ol?
Should
Eng
lish b
e the
offic
ial la
ngua
ge of
the U
nited
Stat
es?
Is nu
clear
power
a dan
ger to
socie
ty?
Should
scho
ols pr
otect
stude
nts fro
m cybe
rbully
ing?
Should
scho
ols be
a pla
ce fo
r deb
ates?
Should
secre
t wire
tappin
g be l
egal?
Should
scho
ols ha
ve a
voca
tiona
l trac
k?1.50
2.00
2.50
3.00
3.50
4.00
1.992.06
2.622.80
2.402.56
3.67
3.88
2.282.36
2.732.682.762.69
3.313.26
2.953.153.193.27
4.124.10
2.532.562.402.35
2.862.84
Confidence to Discuss Comparison by Schools (6th Grade Sample)
Confidence to Partic-ipate in Discussion
Control SchoolWG School
TAUGHT Control SchoolWG School
NON-TAUGHT
Results
Control SchoolWG School
TAUGHT Control SchoolWG School
NON-TAUGHT
CONT
ROL
WO
RD
GENE
R-AT
ION
CONT
ROL
WO
RD
GENE
R-AT
ION
Taught Non-taught
2.00
2.25
2.50
2.75
3.00
2.59
2.72
2.94 2.95
1st Year Students: Comparison of Students’ Self-Reports on Discussion Confidence Level Between Schools
Confi
denc
e to
Par
ticip
ate
in D
iscus
sion
0.13 ***t(1850)= -3.41, p < 0.001
0.01t(1857)= -0.41, ns
Effect size: (sd=.82) = 0.16
Results
Should th
ere be more st
rict d
ress co
des at s
chools?
Is the d
eath penalty ju
stified
?
Does rap m
usic have a
negati
ve im
pact on stu
dents?
What should be done a
bout global w
arming?
Should th
e government a
llow anim
al testi
ng?
Should co
lleges u
se Affirm
ative Acti
on?
Should th
e government fu
nd stem ce
ll research
?
Should Crea
tion be taught in
school?
Should English
be the officia
l language
of the Unite
d States?
Is nucle
ar power a
danger to so
ciety?
Should sc
hools pro
tect stu
dents fro
m cyberbully
ing?
Should sc
hools be a place
for d
ebates?
Should se
cret w
iretapping be legal?
Should sc
hools hav
e a vocational
track
?1.50
2.00
2.50
3.00
3.50
4.00
2.032.21
2.642.72
2.362.47
3.663.69
2.302.46
2.692.712.762.98
3.133.01
3.113.033.093.18
3.823.82
2.552.68
2.332.37
2.792.70
Confidence to Participate in Discussion Comparison (7th & 8th Graders)
Confidence to Partic-ipate in Discussion
Control SchoolWG School
TAUGHT Control SchoolWG School
NON-TAUGHT
Results
Control SchoolWG School
TAUGHT Control SchoolWG School
NON-TAUGHT
CONTROL WORD GENERATION CONTROL WORD GENERATIONTaught Non-taught
2.00
2.25
2.50
2.75
3.00
2.76
2.842.88 2.90
2nd Year Students: Comparison of Students’ Self-Reports on Discussion Confidence Level Between Schools
Confi
denc
e to
Par
ticip
ate
in D
iscus
sion
0.08 ***t(3615)= -3.47, p < 0.001
0.02t(1200)= -10.93, ns
Effect size: (sd=0.70) 0.11
Results
How do students enrolled in Word Generation compare with control students, in terms of their confidence to participate in classroom discussion of controversial topics?
In both (6th grade) and (7th + 8th grade) samples, students in the Word Generation program report more confidence in being able to have a classroom discussion of controversial topics that are covered in class
Discussion
Consistent with past studies that curricular exposure to controversial topics can improve students’ confidence to participate in discussion
Students’ abilities to participate effectively in discussion of controversial issues can improve as a result of being enrolled in a course that places primacy on such discussions (Hess & Posselt, 2002)
Young people draw more attention to news information when that information is perceived to be useful for school assignments and peer conversations (Atkin, 1981; Kanihan & Chaffee, 1996; McDevitt and Chaffee (2000).
Future Work
- Examine students’ perception of openness in classroom discussion- Freedom to disagree in class- Teacher’s skill in facilitating discussion
- Compare students’ perception of openness in classroom discussion between WG and CO schools- Student level - Classroom level
- Examine students’ habit of extending discussion of controversial issues outside of home and their news media use (newspaper and Internet)
.
Works Cited
Atkin, C. (1972). Anticipated communication and mass media information seeking. Public Opinion Quarterly, 36, 188-199.
Hess, D., & Posselt, J. (2002). How high school students experience and learn from the discussion of controversial public issues. Journal of
Curriculum and Supervision, 17(4), 283-314.
Kanihan, S., & Chaffee, S. H. (1996). Situational influence of politicalinvolvement on information seeking: A field experiment. Paper
presented at the annual meeting of the Association for Education in Journalism and Mass Communication, Anaheim, CA
McDevitt, M., & Chaffee, S. (2000). Closing gaps in political communication and knowledge effects of a school intervention. Communication Research, 27(3), 259-292.
Appendix
Taught
Non-taught
Taught
Non-taught
2.00 2.25 2.50 2.75 3.00
2.59
2.94
2.72
2.95
1ST Year Students: Comparison of Students' Discussion Ability Between Schools (6th Graders)
Confidence to Participate in Classroom Discussion
CONTROL
CONTROL
WORD GENERATION
WORD GENERATION
-0.35 ***t(650)= -12.22, p < 0.001
-0.23 ***t(1200)= -10.93, p < 0.001
Results
Taught
Non-taught
Taught
Non-taught
2.00 2.25 2.50 2.75 3.00
2.76
2.88
2.84
2.90
2ND Year Students: Comparison of Students' Discussion Ability Between Schools (7th & 8th Graders)
Confidence to Participate in Classroom Discussion
WORD GENERATION
WORD GENERATION
CONTROL
CONTROL
-0.06 ***t(2319)= -15.20 p < 0.001
-0.12 ***t(1283)= -15.20, p < 0.001
Heterogeneous Effects of Word Generation on
Students with Differing Levels of English Proficiency
Jin Kyoung Hwang, Joshua Lawrence (University of California, Irvine)
Elaine Mo (University of the Pacific)
Patrick Hurley (Strategic Education Research Partnership)
Language Minority (LM) Learners
• School-aged students in the US who hear and/or speak a language other than English at home (August & Shanahan, 2006)
• Large population• Over 11 million students, about 5 million
are classified as limited English proficient (Aud et al., 2012)
• Largest growth• One of the fastest growing groups among the
school-aged population in the U.S. (Aud et al., 2011)
Language Minority (LM) Learners
• Differing Levels of English Proficiency• Initially fluent English proficient (IFEP)
• Students with full English proficiency by the time they enter school
• Limited English proficient (LEP) • Students who still need English language support
• Redesignated fluent English proficient (RFEP)• Students who used to be LEP but attained sufficient
English proficiency to be reclassified
Vocabulary Intervention & LM Learners
• Quasi-experiments of WG (Lawrence, Capotosto, Branum-Martin, White, & Snow, 2012; Snow, Lawrence, & White, 2009)
• LM students with full English proficiency benefitted more • LM students with limited English proficiency did not
• Vocabulary Improvement Program (Carlo et al., 2004) • ELLs in treatment schools improved more than EO students on
polysemy task • Improving Comprehension Online (Proctor et al., 2009/2011)
• No language by treatment interaction• Quality English and Science Teaching (August et al., 2009)
• No language by treatment interaction• Language Workshop (Townsend & Collins, 2009)
• All participants were Spanish-English speakers
Research Questions
• Is there a heterogeneous effect of Word Generation for EO, IFEP, and RFEP students?
• Is there a heterogeneous effect of Word Generation for RFEP students according to the number of years they have been redesignated?
Methods: Participants
• 13 middle schools: 7 treatment & 6 control• N = 6,193 students• Language Status
• Initially Fluent English Proficient (IFEP, n = 632)• Redesignated Fluent English Proficient (RFEP, n = 2,515) • Limited English Proficient (LEP, n = 1,011) • English only (EO, n = 2,035)
• Years since Redesignation• 0-1 year: n = 419• 1-2 years: n = 754• 2-3 years: n = 419• > 3 years: n = 661
Methods: Measures• Dependent Variable:
• Academic Vocabulary• Word Generation Vocabulary Posttest (50 items total; 40 items were taught throughout the
program)
• Independent Variables:• Intervention• Language Proficiency Groups (EO, IFEP, RFEP; RQ1)• Years since Redesignation (for RFEP students only; RQ2)• Academic Vocabulary
• Word Generation Vocabulary Pretest (School mean & School centered mean)
• Reading Comprehension• Gates-MacGinitie Comprehension Test (School mean & School centered mean)
• Grade Level• School of Attendance• Gifted and Talented & Special Education
Methods: Analysis Plan
RQ 1: Heterogeneous Effect of WG for EO, IFEP, and RFEP students?
RQ1: Heterogeneous Effect of WG for EO, IFEP, and RFEP students?
EO IFEP RFEP24
24.525
25.526
26.527
27.528
28.529
TreatmentControl
Language Proficiency Groups
Aca
dem
ic V
ocab
ular
y: W
G P
ostte
st
RQ2: Heterogeneous Effects of WG within RFEP students?
RQ2: RFEP Students with Different Years since Redesignation
0-1 years 1-2 years 2-3 years >3 years2021222324252627282930
TreatmentControl
Years since Redesignation
Aca
dem
ic V
ocab
ular
y:W
G P
ostte
st
Conclusion
• Heterogeneous effects of Word Generation• Replicated and extended findings from previous
Word Generation studies
• RFEP students are a heterogenous group
ReferencesAud, S., Hussar, W., Kena, G., Bianco, K., Frohlich, L., Kemp, J., Tahan, K. (2011). The
Condition of Education 2011 (NCES 2011-033). U.S. Department of Education, National Center for Education Statistics. Washington, DC: U.S. Government Printing Office.
Aud, S., Hussar, W., Johnson, F., Kana, G., Roth, E., Manning, E., . . . Zhang, J. (2012). The Condition of Education 2012 (NCES 2012-045). U.S. Department of Education, National Center for Education Statistics. Washington, DC: U.S. Government Printing Office.
August, D., & Shanahan, T. (2006). Developing literacy in second-language learners: Report of the National Literacy Panel on language minority chidren and youth. Mahwah, NJ: Erlbaum.
August, D., Branum-Martin, L., Cardenas-Hagan, E., & Francis, D.J. (2009). The impact of an instructional intervention on the science and language learning of middle grade English language learners. Journal of Research on Educational Effectiveness, 2(4), 345-376.
ReferencesCarlo, M.S., August, D., McLaughlin, B., Snow, C.E., Dressler, C., Lippman, D.N., . . . White,
C.E. (2004). Closing the gap: Addressing the vocabulary needs of English language learners in bilingual and mainstream classrooms. Reading Research Quarterly, 39(2), 188-215.
Kieffer, M.J. (2008). Catching up or falling behind? Initial English proficiency, concentrated poverty, and the reading growth of language minority learners in the United States. Journal of Educational Psychology, 100(4), 851-868. doi: 10.1037/0022-0663.100.4.851
Lawrence, J., Capotosto, L., Branum-Martin, L., White, C., & Snow, C. (2012). Language proficiency, home-language status, and English vocabulary development: A longitudinal follow-up of the Word Generation program. Unpublished manuscript, Harvard University.
Proctor, C.P., Dalton, B., Uccelli, P., Biancarosa, G., Mo, E., Snow, C., & Neugebauer, S. (2011). Improving comprehension online: Effects of deep vocabulary instruction with bilingual and monolingual fifth graders. Reading and Writing, 24(5), 517-544.
Townsend, D., & Collins, P. (2009). Academic vocabulary and middle school English learners: An intervention study. Reading and Writing, 22(9), 993-1019.