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Assessing the Educational Consequences 
of Teacher Deficits in Content Matter and 
Language of Instruction (L2) 
Steve Walter - GIAL
Some conventional wisdom: 
Schools are only as good as their teachers.
Research Context 
Location (Cameroon, Philippines) 
Experimental program testing L1 instruction 
Early exit program 
12 experimental schools; 12 comparison schools 
Testing began in 2008 
Testing in Reading, Math, English 
All teachers speak L1
Key observation about Kom schools 
Standard Schools Mean Mean Experimental 
Schools 
GS Mentang 10.3 31.7 CBC Fujua 
CS Kindoh 14.1 31.8 GS Ngwah 
GS Yuwi 14.5 33.9 GS Laikom 
GS Meli 15 42.1 GS Kitchu 
CBC Fundeng 20.4 46.9 GS Bolem 
GS Baichu 23.2 47.9 GS Muteff 
GS Atondum 24.6 50.5 GS Ameng 
GS Fundong Village 24.8 50.5 GS Mboh 
CBC Abuh/Wainchia 26.6 54.6 CBC Kikfuini 
GS Njinikijem 28.3 64.7 GS Wombong 
PS Ngwah 36.3 65.6 GS Ilung 
CS Wombong 37.6 72.6 CBC Belo
Sources of Variation – some obvious and some less so 
Some “obvious” hypotheses 
Motivation (avocation) 
Commitment to teaching 
Training and Education 
Ability and creativity 
Teacher-centered instruction 
Low compensation 
Some “less obvious” hypotheses 
Low content mastery on the part of teachers 
Low mastery of the language of instruction by teachers 
Low time on task 
Crowded curriculum requirements 
Poorly constructed curricula 
Erratic attendance; automatic promotion 
Clumsy screening and placement practices
The Investigation 
Venue: 
Government Teacher Training Center in Fundong 
Participants: 
185 students tested (139 female, 44 male) 
150 in Form 3 (the last year of training) 
29 in Form 2 
6 in Form 1 
Content of Tests: 
English (including reading comprehension) 
Basic math
Distribution of Participants by Age 
18 20 22 24 26 28 30 32 
20 
15 
10 
5 
0 
age 
Percent 
Histogram of age
The Test Instruments
The English/reading Assessment 
Two texts for reading comprehension 
“Tenali and the Thieves” Grade 3 level 668 words 13.36 words per sentence 
10 comprehension questions 
“Living an Adventurous Life” Grade 9 level 468 words 19.5 words per 
sentence 
10 comprehension questions 
English knowledge and vocabulary 
Word meanings and associations – 10 items 
ex. 6. crush a. sweet b. cheap c. change d. smash 
Synonyms and antonyms – 10 items 
ex. 4. Which of the following words is closest in meaning to the word resolve? 
a. faint b. require c. weird d. determination 
Words in context (naturalness) – 10 items 
ex. 5. The teacher praised the girl because her ideas were so __________. 
a. unique b. odd c. purple d. foolish
Nature of the Comprehension Questions 
General comprehension (vocabulary, textual content, etc.) – 7 items 
4 items from Tenali 
3 items from Adventure 
Understanding the plot structure – 2 items 
2 items from Tenali 
Simple factual comprehension – 4 items 
1 items from Tenali 
3 items from Adventure 
Drawing inferences and conclusions – 7 items 
3 items from Tenali 
4 items from Adventure
Nature of the Vocabulary Section 
30 vocabulary items (taken from the Cameroon textbook series for teaching 
English) 
Level 4 – 10 items ex. oil, respect, good, open 
Level 6 – 9 items ex. ambition, estimate, acquire, pursuit 
Level 8 – 6 items ex. cunning, resolve, prior, endorse 
Levels 10 and 12 – 5 items ex. mutual, crush, unique, append 
Categories of vocabulary items 
General use vocabulary – 23 items ex. shelf, trick, chance, dead 
Academic vocabulary – 7 items ex. structure, resolve, mutual, append
The Math Test 
Classification by response method 
Free response (supply a math fact or do an actual computation) 
12 items 
Multiple choice 
30 items 
Classification by manner of presentation 
Direct (simple computation or directed solution) 
22 items 
Story problems (an abstract scenario is created from which information 
must be gleaned in order to solve a problem) 
20 items
The Math Test – Classification by Content 
Basic operations – 4 items 
Math facts (basic and advanced) – 4 items 
Operations with Fractions – 3 items 
Basic algebra – 6 items 
Conversions and equivalences – 2 items 
Probability and statistics – 2 items 
Logical and applied analysis – 7 items 
Symbolic representation – 6 items 
Problem solving with percentages – 2 items 
Area and perimeter – 3 items (two of which were discarded) 
Graphical representation – 1 item 
Ratios – 2 items
A Look at the Results
Distribution of Overall Performance 
10 20 30 40 50 60 70 
25 
20 
15 
10 
5 
0 
OVERALL_PER 
Percent 
Histogram of OVERALL_PER
Distribution of Performance on the English Assessment 
15 30 45 60 75 90 
20 
15 
10 
5 
0 
eng_PER 
Percent 
Histogram of eng_PER
Distribution of Performance in Math 
10 20 30 40 50 60 70 
25 
20 
15 
10 
5 
0 
Math_PER 
Percent 
Histogram of Math_PER
Summary Statistics of Performance 
Mean Stan. Deviation 
Math 37.77 10.51 
English/reading 65.18 13.79 
Overall 52.41 9.42
The Results for English and Reading
Suggested Standards for Reading Comprehension 
Barr, Blachowitz, Katz, and Kaufman (2002) 
Proficiency Level Level of Reading Comprehension 
Independent 90 – 100 percent 
Instructional 75 – 79 percent 
Borderline 50 – 74 percent 
Frustration below 50 percent
Reading Comprehension – a closer look
Comprehension vs. Textual Difficulty
Vocabulary Knowledge vs. Textual Difficulty 
Predictive probabilities 
.92 for Tenali 
.37 for Adventure
Vocabulary – a closer look
Relationship between Academic and General Vocabulary 
among GTTC trainees 
0 20 40 60 80 100 
100 
80 
60 
40 
20 
0 
Vocab_no_ac_PER 
Vocab_ac_PER 
S 18.2455 
R-Sq 29.3% 
R-Sq(adj) 28.8% 
Fitted Line Plot 
Vocab_ac_PER = 9.333 + 0.5839 Vocab_no_ac_PER 
Mean AWL = 48.0 
Mean GWL = 66.2
Best Predictors of Reading Comprehension 
For the Level 3 Text 
Level 4 vocabulary (F = 18.68; p = 0.000; r-sq. = 10.61%) 
For the Level 9 Text 
Academic vocabulary (F = 23.33; p = 0.000) 
Form (years in GTTC) (F = 8.05; p = 0.000; r-sq. = 17.35%)
Vocabulary and Text Comprehension
Comparison to Grade 5 Readers 
Level 3 Text
Distribution of Reading Comprehension among GTTC trainees 
relative to the Barr et al. Standards 
Barr, Blachowitz, Katz, and Kaufman (2002) 
When reading a… 
Proficiency Level Percent Comprehension Level 3 Text Level 9 Text 
Independent 90 – 100 percent 77.6% 2.4% 
Instructional 75 – 79 percent 9.1% 2.4% 
Borderline 50 – 74 percent 11.5% 61.2% 
Frustration below 50 percent 1.8% 33.9%
Implications and Questions raised by the Data 
Levels of general proficiency in English are obviously low. 
The level of reading comprehension is quite limited. 
How effectively can such teachers teach via English? 
Is there a self-perpetuating negative spiral in place in terms of 
learning and teaching English? 
What is the probability of educational success for non English-speaking 
children when their teachers have low proficiency in 
the language of instruction? 
How much improvement in teachers’ proficiency is needed to raise 
students’ performance? 
What steps could be taken to improve teachers’ proficiency in 
English?
The Math Results
Distribution of Performance in Math 
0 10 20 30 40 50 60 70 80 90 100 
25 
20 
15 
10 
5 
0 
Math_PER 
Percent 
Histogram of Math_PER 
Mean = 37.77 
SD = 10.51
Performance by Content Area 
No. of 
items 
Mean 
Score 
Standard 
Dev. 
Number who answered 
zero items correctly in 
this category 
Basic operations 4 49.4 22.2 3 
Math facts 4 46.8 24.6 11 
Fractions 3 33.8 26.9 44 
Basic algebra 6 25.3 23.1 47 
Percentages 2 23.4 28.6 90 
Conversions 2 60.4 34.4 24 
Probability and statistics 2 32.9 32.3 69 
Logical analysis 7 42.0 16.5 3 
Symbolic representation 6 30.9 20.2 17 
Geometry (area and perimeter) 3* 24.7 43.3 119 
Graphical representation 1 9.5 29.4 143 
Ratios 2 62.7 35.2 24
GTTC trainees vs. Class 5 students 
Class 5 Students GTTC 
Skill or knowledge domain Mean SD Mean SD 
Basic operations 10.9 17.7 49.4 22.2 
The number system 19.9 14.7 52.1 21.6 
Fractions 12.6 13.3 22.8 34.1 
Algebra -- -- 24.3 20.7 
Word Problems 
Basic operations 19.5 19.8 31.7 28.4 
Analysis -- -- 44.8 14.9 
Geometric figures 23.8 23.1 22.2 30.1 
Graphs and tables 23.3 21.7 22.2 27.4 
Percent, interest, commissions -- -- 30.1 34.3 
Basic statistics -- -- 32.9 32.3 
Math Overall 16.6 7.7 37.8 10.5
Some Inferences for Math Learning and Instruction 
Mastery of basic operations is not strong. 
It is reported that many have taken no math courses 
beyond primary (Grade 6) and the data appear to 
support this claim. 
Complex numbers including decimals are troublesome. 
Mathematical abstractions (models, variables, 
symbols) are especially difficult. 
If teachers lack knowledge and skill, we must assume 
that students will as well.
Data from the MaguindanaonMLE 
Experience in the Philippines: 
Comparing L1 vs. L2 speakers of the 
Language of Instruction
At the Kindergarten Level
At the Grade 1 Level
At the Grade 2 Level
(Negative) Impact on Instructional Efficiency
A Simple Probabilistic Model of Learning 
S = student 
T = teacher 
Prob. X Prob. X Prob. = Prob. 
T knows T can explain S will understand S learns
A Simple Probabilistic Model of Learning 
Suggested probabilities 
Teachers’ performance on primary-level math items = 42.24% 
Teachers’ performance on English assessment (Grade 3 text plus 
vocabulary) = 75.9% 
Class 5 students’ performance on English assessment (easiest story plus 
vocabulary) = 38.6% 
* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * 
Prob. X Prob. X Prob. = Prob. 
T knows T can explain S will understand S learns 
.4224 X .759 X .386 = .124 
(actual mean math score = 17.0%)
Conclusions and Challenges 
Teacher mastery of curricular content, while frequently 
considered suspect, has not been widely measured. 
Limitations in linguistic competence are widely 
recognized in fact, but little understood in terms of 
instructional impact. 
The weakness of educational systems in linguistically 
diverse developing countries involves teachers as well 
as students. 
How much competence in a language is required to 
enable quality instruction? 
What kinds of language learning/teaching interventions 
are needed to developed the needed competence?
Thank you.

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Assessing the Educational Impact of Teacher Content Knowledge and Language Proficiency

  • 1. Assessing the Educational Consequences of Teacher Deficits in Content Matter and Language of Instruction (L2) Steve Walter - GIAL
  • 2. Some conventional wisdom: Schools are only as good as their teachers.
  • 3. Research Context Location (Cameroon, Philippines) Experimental program testing L1 instruction Early exit program 12 experimental schools; 12 comparison schools Testing began in 2008 Testing in Reading, Math, English All teachers speak L1
  • 4. Key observation about Kom schools Standard Schools Mean Mean Experimental Schools GS Mentang 10.3 31.7 CBC Fujua CS Kindoh 14.1 31.8 GS Ngwah GS Yuwi 14.5 33.9 GS Laikom GS Meli 15 42.1 GS Kitchu CBC Fundeng 20.4 46.9 GS Bolem GS Baichu 23.2 47.9 GS Muteff GS Atondum 24.6 50.5 GS Ameng GS Fundong Village 24.8 50.5 GS Mboh CBC Abuh/Wainchia 26.6 54.6 CBC Kikfuini GS Njinikijem 28.3 64.7 GS Wombong PS Ngwah 36.3 65.6 GS Ilung CS Wombong 37.6 72.6 CBC Belo
  • 5. Sources of Variation – some obvious and some less so Some “obvious” hypotheses Motivation (avocation) Commitment to teaching Training and Education Ability and creativity Teacher-centered instruction Low compensation Some “less obvious” hypotheses Low content mastery on the part of teachers Low mastery of the language of instruction by teachers Low time on task Crowded curriculum requirements Poorly constructed curricula Erratic attendance; automatic promotion Clumsy screening and placement practices
  • 6. The Investigation Venue: Government Teacher Training Center in Fundong Participants: 185 students tested (139 female, 44 male) 150 in Form 3 (the last year of training) 29 in Form 2 6 in Form 1 Content of Tests: English (including reading comprehension) Basic math
  • 7. Distribution of Participants by Age 18 20 22 24 26 28 30 32 20 15 10 5 0 age Percent Histogram of age
  • 9. The English/reading Assessment Two texts for reading comprehension “Tenali and the Thieves” Grade 3 level 668 words 13.36 words per sentence 10 comprehension questions “Living an Adventurous Life” Grade 9 level 468 words 19.5 words per sentence 10 comprehension questions English knowledge and vocabulary Word meanings and associations – 10 items ex. 6. crush a. sweet b. cheap c. change d. smash Synonyms and antonyms – 10 items ex. 4. Which of the following words is closest in meaning to the word resolve? a. faint b. require c. weird d. determination Words in context (naturalness) – 10 items ex. 5. The teacher praised the girl because her ideas were so __________. a. unique b. odd c. purple d. foolish
  • 10. Nature of the Comprehension Questions General comprehension (vocabulary, textual content, etc.) – 7 items 4 items from Tenali 3 items from Adventure Understanding the plot structure – 2 items 2 items from Tenali Simple factual comprehension – 4 items 1 items from Tenali 3 items from Adventure Drawing inferences and conclusions – 7 items 3 items from Tenali 4 items from Adventure
  • 11. Nature of the Vocabulary Section 30 vocabulary items (taken from the Cameroon textbook series for teaching English) Level 4 – 10 items ex. oil, respect, good, open Level 6 – 9 items ex. ambition, estimate, acquire, pursuit Level 8 – 6 items ex. cunning, resolve, prior, endorse Levels 10 and 12 – 5 items ex. mutual, crush, unique, append Categories of vocabulary items General use vocabulary – 23 items ex. shelf, trick, chance, dead Academic vocabulary – 7 items ex. structure, resolve, mutual, append
  • 12. The Math Test Classification by response method Free response (supply a math fact or do an actual computation) 12 items Multiple choice 30 items Classification by manner of presentation Direct (simple computation or directed solution) 22 items Story problems (an abstract scenario is created from which information must be gleaned in order to solve a problem) 20 items
  • 13. The Math Test – Classification by Content Basic operations – 4 items Math facts (basic and advanced) – 4 items Operations with Fractions – 3 items Basic algebra – 6 items Conversions and equivalences – 2 items Probability and statistics – 2 items Logical and applied analysis – 7 items Symbolic representation – 6 items Problem solving with percentages – 2 items Area and perimeter – 3 items (two of which were discarded) Graphical representation – 1 item Ratios – 2 items
  • 14. A Look at the Results
  • 15. Distribution of Overall Performance 10 20 30 40 50 60 70 25 20 15 10 5 0 OVERALL_PER Percent Histogram of OVERALL_PER
  • 16. Distribution of Performance on the English Assessment 15 30 45 60 75 90 20 15 10 5 0 eng_PER Percent Histogram of eng_PER
  • 17. Distribution of Performance in Math 10 20 30 40 50 60 70 25 20 15 10 5 0 Math_PER Percent Histogram of Math_PER
  • 18. Summary Statistics of Performance Mean Stan. Deviation Math 37.77 10.51 English/reading 65.18 13.79 Overall 52.41 9.42
  • 19. The Results for English and Reading
  • 20. Suggested Standards for Reading Comprehension Barr, Blachowitz, Katz, and Kaufman (2002) Proficiency Level Level of Reading Comprehension Independent 90 – 100 percent Instructional 75 – 79 percent Borderline 50 – 74 percent Frustration below 50 percent
  • 21. Reading Comprehension – a closer look
  • 23. Vocabulary Knowledge vs. Textual Difficulty Predictive probabilities .92 for Tenali .37 for Adventure
  • 24. Vocabulary – a closer look
  • 25. Relationship between Academic and General Vocabulary among GTTC trainees 0 20 40 60 80 100 100 80 60 40 20 0 Vocab_no_ac_PER Vocab_ac_PER S 18.2455 R-Sq 29.3% R-Sq(adj) 28.8% Fitted Line Plot Vocab_ac_PER = 9.333 + 0.5839 Vocab_no_ac_PER Mean AWL = 48.0 Mean GWL = 66.2
  • 26. Best Predictors of Reading Comprehension For the Level 3 Text Level 4 vocabulary (F = 18.68; p = 0.000; r-sq. = 10.61%) For the Level 9 Text Academic vocabulary (F = 23.33; p = 0.000) Form (years in GTTC) (F = 8.05; p = 0.000; r-sq. = 17.35%)
  • 27. Vocabulary and Text Comprehension
  • 28. Comparison to Grade 5 Readers Level 3 Text
  • 29. Distribution of Reading Comprehension among GTTC trainees relative to the Barr et al. Standards Barr, Blachowitz, Katz, and Kaufman (2002) When reading a… Proficiency Level Percent Comprehension Level 3 Text Level 9 Text Independent 90 – 100 percent 77.6% 2.4% Instructional 75 – 79 percent 9.1% 2.4% Borderline 50 – 74 percent 11.5% 61.2% Frustration below 50 percent 1.8% 33.9%
  • 30. Implications and Questions raised by the Data Levels of general proficiency in English are obviously low. The level of reading comprehension is quite limited. How effectively can such teachers teach via English? Is there a self-perpetuating negative spiral in place in terms of learning and teaching English? What is the probability of educational success for non English-speaking children when their teachers have low proficiency in the language of instruction? How much improvement in teachers’ proficiency is needed to raise students’ performance? What steps could be taken to improve teachers’ proficiency in English?
  • 32. Distribution of Performance in Math 0 10 20 30 40 50 60 70 80 90 100 25 20 15 10 5 0 Math_PER Percent Histogram of Math_PER Mean = 37.77 SD = 10.51
  • 33. Performance by Content Area No. of items Mean Score Standard Dev. Number who answered zero items correctly in this category Basic operations 4 49.4 22.2 3 Math facts 4 46.8 24.6 11 Fractions 3 33.8 26.9 44 Basic algebra 6 25.3 23.1 47 Percentages 2 23.4 28.6 90 Conversions 2 60.4 34.4 24 Probability and statistics 2 32.9 32.3 69 Logical analysis 7 42.0 16.5 3 Symbolic representation 6 30.9 20.2 17 Geometry (area and perimeter) 3* 24.7 43.3 119 Graphical representation 1 9.5 29.4 143 Ratios 2 62.7 35.2 24
  • 34. GTTC trainees vs. Class 5 students Class 5 Students GTTC Skill or knowledge domain Mean SD Mean SD Basic operations 10.9 17.7 49.4 22.2 The number system 19.9 14.7 52.1 21.6 Fractions 12.6 13.3 22.8 34.1 Algebra -- -- 24.3 20.7 Word Problems Basic operations 19.5 19.8 31.7 28.4 Analysis -- -- 44.8 14.9 Geometric figures 23.8 23.1 22.2 30.1 Graphs and tables 23.3 21.7 22.2 27.4 Percent, interest, commissions -- -- 30.1 34.3 Basic statistics -- -- 32.9 32.3 Math Overall 16.6 7.7 37.8 10.5
  • 35. Some Inferences for Math Learning and Instruction Mastery of basic operations is not strong. It is reported that many have taken no math courses beyond primary (Grade 6) and the data appear to support this claim. Complex numbers including decimals are troublesome. Mathematical abstractions (models, variables, symbols) are especially difficult. If teachers lack knowledge and skill, we must assume that students will as well.
  • 36. Data from the MaguindanaonMLE Experience in the Philippines: Comparing L1 vs. L2 speakers of the Language of Instruction
  • 38. At the Grade 1 Level
  • 39. At the Grade 2 Level
  • 40. (Negative) Impact on Instructional Efficiency
  • 41. A Simple Probabilistic Model of Learning S = student T = teacher Prob. X Prob. X Prob. = Prob. T knows T can explain S will understand S learns
  • 42. A Simple Probabilistic Model of Learning Suggested probabilities Teachers’ performance on primary-level math items = 42.24% Teachers’ performance on English assessment (Grade 3 text plus vocabulary) = 75.9% Class 5 students’ performance on English assessment (easiest story plus vocabulary) = 38.6% * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * Prob. X Prob. X Prob. = Prob. T knows T can explain S will understand S learns .4224 X .759 X .386 = .124 (actual mean math score = 17.0%)
  • 43. Conclusions and Challenges Teacher mastery of curricular content, while frequently considered suspect, has not been widely measured. Limitations in linguistic competence are widely recognized in fact, but little understood in terms of instructional impact. The weakness of educational systems in linguistically diverse developing countries involves teachers as well as students. How much competence in a language is required to enable quality instruction? What kinds of language learning/teaching interventions are needed to developed the needed competence?