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‘Starting where the children are’: A process
evaluation of the MTB-MLE
implementation in the Philippines
1
Philippine Institute for Development
Studies
Surian sa mga Pag-aaral Pangkaunlaran ng Pilipinas
www.pids.gov.ph
Jennifer D. Monje, Aniceto C. Orbera, Jr., Kris A. Franciso-Abrigo, and Erlinda M. Capones
13 February 2020
Structure of the
Presentation
I. Background
II. Process Evaluation Methodology
A. Identifying key informants (CO & field)
B. Identifying sampling strategy
1. Using DepEd typology
2. Using other measures
C. Designing the instruments
III. Findings and discussion
A. Descriptive statistics
B. Program logic, service delivery and organization
The big picture
1. How pupils learn languages and how policy
makers formulate language policies complicate
educational outcomes.
2. How teachers, administrators, and parents, with
their own individual linguistic biases, understand
and support language policies further complicate
educational outcomes.
3
What is MTB-MLE?
❖ Classroom instruction that begins in children’s mother tongue and
then gradually shifts toward national and/or international
language/s as the children advance through primary education
(but only after a solid literacy foundation is established in
children’s native language) (Jacob, 2016)
❖ Is the effective use of more than two languages for literacy and
instruction (DO #74, s. 2009)
Definition of ‘mother tongue’ (UNESCO, 1953)
❖ the language that a person has been exposed to
from birth, or within the critical period;
❖ what one knows best;
❖ what one uses often; and,
❖ is identified as a speaker of by the community.
Why MTB-MLE?
“Even though they [learners] must ultimately learn to think and speak and
read in the second language, this goal is, we believe, psychologically and
pedagogically as a rule best achieved by two short jumps (that is, from illiteracy
to literacy in the mother tongue, and from literacy in the mother tongue to
literacy in a second language) than by one long jump (that is, from illiteracy in
the mother tongue to literacy in a second language)” (UNESCO, 1953, p. 9).
Methodology Conducting a Process Evaluation
Theory of Change
Random Sampling
DepEd Typology
1. Public/private
2. Small/medium/large
3. *Urban/rural
(Additional classification)
4. Linguistically diverse contexts (LDCs)
(Sampling was based on 2017-
2018 DepEd data)
Sampling Strategy
1. Linguistic diversity refers to the number of languages present,
and the evenness of distribution of mother tongue speakers among
languages in a given area (Terralingua).
2. Based on the language diversity index (LDI), the closer the index
is to 1, the linguistically diverse (multilingual) the
community is; the closer the index is to 0, the less linguistically
diverse (monolingual) the community is.
Sampling Strategy
3. Provinces from each island cluster are classified according to their
respective LDIs*:
❖ Provinces with LDIs of more than 0.50 are classified as
linguistically diverse contexts (LDCs)
❖ Provinces with LDIs of less than 0.50 are classified as less
linguistically diverse contexts** (L-LDCs)
*Based on a language diversity index (LDI) per province enumerated in The language landscape of the
Philippines in 4 maps, The Thinking Machines Data Science
**researchers’ adopted term
Language
diversity across
the country
Source: Thinking Machines Data
Science
(https://stories.thinkingmachin.es/phili
ppine-languages/#methodology)
Sampling
Strategy
School Selection:
- Size
- Island group
- Linguistic diversity
Language
Diversity
School
Size
Luzon Visayas Mindanao
LDCs
Small 1 1 1
Medium 1 1 1
Large 1 1 1
L-LDCs
Small 1 1 1
Medium 1 1 1
Large 1 1 1
Total no. of schools to visit
per major island cluster
6 6 6
From the total of 18 randomly selected schools, 14 are public schools and four (4)
are private schools.
Sampling Strategy
▪ Linguistic diversity refers to the number of languages present, and the evenness of
distribution of mother tongue speakers among languages in a given area
(Terralingua).
▪ Based on the language diversity index (LDI), the closer the index is to 1, the more
linguistically diverse (multilingual) the community is; the closer the index is to 0, the
less linguistically diverse (monolingual) the community is.
▪ Provinces from each island cluster are classified according to their respective LDIs*:
▪ Provinces with LDIs of more than 0.50 are classified as linguistically diverse contexts (LDCs)
▪ Provinces with LDIs of less than 0.50 are classified as less linguistically diverse contexts** (L-LDCs)
*Based on a language diversity index (LDI) per province enumerated in The language landscape of the Philippines in 4 maps, The Thinking Machines Data Science
**researchers’ adopted term
LUZON
Name of School Location LDI
Catholic School Guiguinto, Bulacan 0.03
Integrated School – Atlag Malolos, Bulacan 0.03
Elementary School Marikina City 0.05
Christian Academy La Trindad, Benguet 0.75
Elementary School Baguio City 0.75
Elementary School Tuba, Benguet 0.75
VISAYAS
Name of School Location LDI
University (Main Campus) Cebu City 0.22
Elementary School Cebu City 0.22
Elementary School Consolacion, Cebu 0.22
Central School A Tacloban City 0.56
Central School B Tacloban City 0.56
Elementary School Dagami, Leyte 0.56
MINDANAO
Name of School Location LDI
Private School Cagayan de Oro City 0.19
Elementary School A Cagayan de Oro City 0.19
Elementary School B Cagayan de Oro City 0.19
Elementary School Bislig City 0.74
Elementary School San Agustin, Surigao
del Sur
0.74
Central School Zamboanga City 0.75
Instruments Used
Structured FGD/KII questionnaires
Participant Profile sheet
Classroom Observation checklist
Online Quick Survey form
FGD & KII Questionnaires
❖ Generates data on program theory & rationale,
service delivery challenges, organization information
Participant profile sheets
❖ For parents: Generates data on number of children in school,
length of residence;
❖ For teachers: Generates data on subjects taught, length of
service, highest educational attainment;
❖ For administrators: Generates data on length of service, highest
educational attainment, & specific courses taken related to
educational administration & management
Classroom observation checklist
❖ Generates data on languages being used inside the
classroom, pupils’ extent of participation using
school’s MOI, whether or not textbooks are
available, being used, etc.
Online Quick Survey
❖ Generates data on number of schools implementing
or not implementing the program, and what reasons
are indicated for non-implementation; what
language/s are being used as MTs in locations, and
activities being done in regions (e.g. writing of Big
Books, etc.)
DATA SOURCES: attendance sheets, encoded data on accomplished participant
profile sheets, and responses from online survey
● FGD and KII participants
● Participant profile
● Online Quick Survey
Descriptive Statistics
Table 1.
Number of FGD/KII
participants per type
and island cluster (from
16 schools)
LUZON VISAYAS MINDANAO TOTAL
Parents 53 28 39 120
Teachers 59 26 44 129
Administrators 12 2 7 21
TOTAL 124 56 90 270
Source: attendance sheets
Participant Profile
DATA SOURCE: encoded data on accomplished participant profile sheets
Table 3.
Number of parents
with one (1), two (2),
or three (3) children in
kinder to grade 3
Parents with one (1) child 76 67.26%
Parents with two (2) children 32 28.32%
Parents with three (3) or more children 5 4.42%
Total 113 100%
Parents of kinder to grade 3 pupils 114
Teachers of kinder to grade 3 pupils 120
Table 2.
Total number FGD
participants (from 12
schools encoded)
*NOTE: One (1) parent/guardian out of 114 (parent was from Camp 4 Elementary
School) did not indicate in the participant profile sheet the number of children he
has in K-3.
Table 4.
Number of teachers per
gender
Male Teachers 3 2.5%
Female Teachers 117 97.5%
Total 120 100%
Teachers with Bachelor’s Degree 95 79.2%
Teachers with Master’s Degree 23 19.2%
Teachers with Doctorate Degree 2 1.6%
Total 120 100%
Table 5.
Number of teachers per
level of educational
attainment
Table 6.
Number of school
head/staff/focal person
per level of highest
educational attainment
With Bachelor’s Degree 5 35.7%
With Master’s Degree 9 64.3%
With Doctorate Degree 0 0
Total 14 100%
*NOTE: There are only 14 participants who filled out the highest educational attainment
section since there are five (5) out of 19 participants who only indicated their name and
designation/title in the profile sheet.
Online Quick Survey
DATA SOURCE: responses from online survey
Online Quick
Survey Results
Region No. of
Responses
Percentage
Region I 1 / 2893 0.05%
Region II 541 / 2569 29.01%
Region III 2 / 4495 0.11%
Region IV-A 501 / 5449 26.86%
Region IV-B 90 / 2100 4.83%
Region V 242 / 3624 12.98%
Region VI 14 / 4420 0.75%
Region VII 148 / 3721 7.94%
Region VIII 0 / 3873 0
Online Quick
Survey Results
Region No. of
Responses
Percentage
Region IX 0 / 2348 0
Region X 249 / 2624 13.35%
Region XI 0 / 2235 0
Region XII 18 / 2182 0.97%
CARAGA 26 / 1912 1.39%
ARMM 4 / 2328 0.21%
CAR 0 / 1736 0
NCR 29 / 2638 1.55%
TOTAL 1865 / 51147 100%
QUICK SURVEY
RESULTS
Response Rates
by Region
16,479 (32%)
responded
Note: All responses are current to the
March 18, 2019 data collection date.
Region Frequency Total schools % Reporting
Region I 1707 2,893 59.0
Region II 713 2,569 27.8
Region III 1398 4,495 31.1
Region IV-A 1306 5,447 24.0
Region IV-B 917 2,100 43.7
Region V 1961 3,624 54.1
Region VI 545 4,420 12.3
Region VII 353 3,719 9.5
Region VIII 2529 3,873 65.3
Region IX 86 2,348 3.7
Region X 1430 2,624 54.5
Region XI 1097 2,235 49.1
Region XII 690 2,181 31.6
ARMM 51 2,328 2.2
CAR 269 1,736 15.5
CARAGA 1055 1,912 55.2
NCR 372 2,636 14.1
Total 16,479 51,140 32.2
QUICK SURVEY
RESULTS
Number of
schools
implementing the
MTB-MLE
Almost all say they
are implementing
MTB-MLE
Note: All responses are current to the
March 18, 2019 data collection date.
Response
Public Private SUC/LUC Total
Freq. % Freq. % Freq. % Freq. %
No 82 0.5 110 12.5 0 0.0 192 1.2
Yes 15,518 99.5 768 87.5 1 100.0 16,287 98.8
Total 15,600 100.0 878 100.0 1 100.0 16,479 100.0
QUICK SURVEY
RESULTS
Reasons why
schools do not
implement the
MTB-MLE
Notes:
All responses are current to the
March 18, 2019 data collection date.
*Schools can mention more than one
reason.
Reasons for non-implementation* Number %
Teachers lack relevant teaching materials 82 18.5
School does not have the dictionary of the
language
73 16.5
Students lack textbooks 72 16.3
Teachers lack expertise in the MOI of the school 54 12.2
Students do not speak the MOI of the school 41 9.3
Parents do not speak and support the chosen
MOI
39 8.8
Others 38 8.6
Teachers do not speak and support the chosen
MOI
20 4.5
School officials do not speak and support the
chosen MOI
15 3.4
School does not get support from the Central
Office/Division Office
9 2.0
Total 443 100.0
QUICK SURVEY
RESULTS
MOI used in
schools
Tagalog (32%)
followed by
Cebuano (23%)
Notes:
All responses are current to the
March 18, 2019 data collection date.
Schools can mention more than one
MOI.
MOI Frequency %
Tagalog 5,370 32.02
Cebuano 3,809 22.71
Iloko 1,971 11.75
Other 1,270 7.57
Bikol 1,155 6.89
Waray 1,039 6.20
Hiligaynon 836 4.98
Pangasinense 333 1.99
Surigaonon 314 1.87
Meranao 181 1.08
Kinaraya 128 0.76
Kapampangan 117 0.70
Maguindanaoan 83 0.49
Ybanag 60 0.36
Tausug 34 0.20
Chabakano 26 0.16
Sambal 23 0.14
Yakan 14 0.08
Aklanon 6 0.04
Ivatan 2 0.01
QUICK SURVEY
RESULTS
Number of MOI
used in schools
As many as 5;
81% only 1
Notes:
All responses are current to the
March 18, 2019 data collection date.
Schools can mention more than one
MOI.
No. of MOI Frequency %
1 11,163 81.01
2 2,261 16.41
3 336 2.44
4 17 0.12
5 2 0.01
Total 13,779 100.00
QUICK SURVEY
RESULTS
Number of minimum
activities* done for
those implementing
MTB-MLE
Less than 10% did
the minimum 4
*writing of big books, documenting
the orthography, the grammar, and
the dictionary of the language
No. of activities done Frequency %
1 6,922 48.9
2 3,487 24.6
3 1,520 10.7
4 1,288 9.1
0 945 6.7
Total 14,162 100.0
QUICK SURVEY
RESULTS
Minimum activities
done in the school
implementing MTB-
MLE
Writing big books most
common
Notes:
All responses are current to the
March 18, 2019 data collection date.
Activities done Frequency %
Writing big books on language,
literature and culture
10,818 44.0
Document the orthography of
language
5,308 21.6
Document grammar of the language 4,316 17.6
Document dictionary of the language 3,166 12.9
Others 968 3.9
Total 24,576 100.0
Summary
❖ MTB-MLE is based on sound, pedagogical foundation and
embodies the concept of a learner-centered education;
❖ For the first time in the system of education in this country,
mother tongues are recognized as integral to literacy and
language learning;
❖ It is facing implementational challenges that could threaten
program delivery and service
❖ DepEd needs to find more effective, efficient, and acceptable
ways of implementing the program
Program logic and plausibility
Findings Recommendations
Lack of common understanding and
wrong appreciation of the basic
rationale for the MTB-MLE program
The linguistic practices on the ground
in terms of language use is far from
presumed ideal
The belief that there is only one MT
per locality is not borne out by
research in the field. Even when
regions are deemed ‘monolingual’
(NCR) schools are still multilingual
Outcomes of war brought
displacement, language dispersion
Clarify and disseminate the MTB-MLE program theory to all stakeholders
Re-assess the one MT per locality implementation policy
The theory needs to recognize dialectical differences and provide clear
guidance on implementing MTB-MLE under these conditions
Step up information dissemination of empirical research highlighting the
efficacy of learning in the MT.
Encourage knowledge generation of how children learn many languages
at once (‘simultaneous bilingualism’) which should inform/refine
program theory and delivery of service
Study the impact of social media on language acquisition and learning
and see how best to harness these technological affordances.
40
Service delivery and utilization
Findings Recommendations
All elements of the program had not been in place
before the rollout of program
Even before rollout, serious threats to the program (such
as lack/dearth of LMs, absence of advance
notice/preparation, competent teachers) had been
pointed out
It was assumed that administrators and teachers would
simply embrace the program because it came from
above
The MTB-MLE program implementation appears to be
limited to public schools. Private schools have developed
their own “version” of the program, which is to teach
only the MTS (mother tongue as subject)
Step up the creation of localized/indigenized learning
materials (LMs) that are quality-prepared, reviewed, and
constantly updated.
Continuously train teachers, whether new hires or
veterans, in meaningful seminars.
Regularly monitor and evaluate principals and teachers
in implementing the MTB-MLE program.
Implement continuous advocacy work by regional MTB-
MLE focal persons (FPs).
Instill pride and value of languages by making them
visible in the landscape of the school. Use mother
tongue as the language of assessments in all content
areas in K-3. 41
Program organization
Findings Recommendations
There are issues of procurement and the apparent lack
of specific funding support for the MTB-MLE-related
operational activities. The MTB-MLE-related activities
had to compete for funding from the general MOOE of
the schools.
Procurement issues have hampered the delivery of
learning materials.
Teachers for the most part are adequate in number,
but some lack the necessary competence
Coordination with other agencies and LGUs are varied
Only a few schools have dedicated focal persons in
schools that provide guidance by echoing seminars
(when there are seminars to echo)
Designate a fund for MTB-MLE operational activities.
Institutionalize the use of language mapping to
determine the MOI K-3 of schools.
Strengthen dedicated MTB-MLE Focal Person (FP)
positions at the Division level
Strengthen synergy between division, district, and
schools in terms of best practices
Enlist the help of local governments particularly in
funding the localization efforts.
42
Philippine Institute for Development
Studies
Surian sa mga Pag-aaral Pangkaunlaran ng
Pilipinas
Service through
policy research
43
WEBSITE: www.pids.gov.ph
FACEBOOK: facebook.com/PIDS.PH
TWITTER: twitter.com/PIDS_PH
EMAIL: aorbeta@mail.pids.gov.ph
Thank you!
MTB-MLE Research Team
44
Team Member Email Address Contact Number
Dr. Aniceto Orbeta, Jr. aorbeta@mail.pids.gov.ph 09176522099
Jennifer Monje monjejd@hawaii.edu 09064650488
Dr. Kris Francisco-Abrigo kris.a.francisco@gmail.com 09210753872
Erlinda M. Capones ecapones@yahoo.com 09178132054
Marci Jeune Bacalla marcijeune@gmail.com 09171111024
Maropsil Potestad mpotestad@mail.pids.gov.ph 09065033564

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20200213_mtb-mle_pe_pids_public_seminar.pdf

  • 1. ‘Starting where the children are’: A process evaluation of the MTB-MLE implementation in the Philippines 1 Philippine Institute for Development Studies Surian sa mga Pag-aaral Pangkaunlaran ng Pilipinas www.pids.gov.ph Jennifer D. Monje, Aniceto C. Orbera, Jr., Kris A. Franciso-Abrigo, and Erlinda M. Capones 13 February 2020
  • 2. Structure of the Presentation I. Background II. Process Evaluation Methodology A. Identifying key informants (CO & field) B. Identifying sampling strategy 1. Using DepEd typology 2. Using other measures C. Designing the instruments III. Findings and discussion A. Descriptive statistics B. Program logic, service delivery and organization
  • 3. The big picture 1. How pupils learn languages and how policy makers formulate language policies complicate educational outcomes. 2. How teachers, administrators, and parents, with their own individual linguistic biases, understand and support language policies further complicate educational outcomes. 3
  • 4. What is MTB-MLE? ❖ Classroom instruction that begins in children’s mother tongue and then gradually shifts toward national and/or international language/s as the children advance through primary education (but only after a solid literacy foundation is established in children’s native language) (Jacob, 2016) ❖ Is the effective use of more than two languages for literacy and instruction (DO #74, s. 2009)
  • 5. Definition of ‘mother tongue’ (UNESCO, 1953) ❖ the language that a person has been exposed to from birth, or within the critical period; ❖ what one knows best; ❖ what one uses often; and, ❖ is identified as a speaker of by the community.
  • 6. Why MTB-MLE? “Even though they [learners] must ultimately learn to think and speak and read in the second language, this goal is, we believe, psychologically and pedagogically as a rule best achieved by two short jumps (that is, from illiteracy to literacy in the mother tongue, and from literacy in the mother tongue to literacy in a second language) than by one long jump (that is, from illiteracy in the mother tongue to literacy in a second language)” (UNESCO, 1953, p. 9).
  • 7. Methodology Conducting a Process Evaluation
  • 9. Random Sampling DepEd Typology 1. Public/private 2. Small/medium/large 3. *Urban/rural (Additional classification) 4. Linguistically diverse contexts (LDCs) (Sampling was based on 2017- 2018 DepEd data)
  • 10. Sampling Strategy 1. Linguistic diversity refers to the number of languages present, and the evenness of distribution of mother tongue speakers among languages in a given area (Terralingua). 2. Based on the language diversity index (LDI), the closer the index is to 1, the linguistically diverse (multilingual) the community is; the closer the index is to 0, the less linguistically diverse (monolingual) the community is.
  • 11. Sampling Strategy 3. Provinces from each island cluster are classified according to their respective LDIs*: ❖ Provinces with LDIs of more than 0.50 are classified as linguistically diverse contexts (LDCs) ❖ Provinces with LDIs of less than 0.50 are classified as less linguistically diverse contexts** (L-LDCs) *Based on a language diversity index (LDI) per province enumerated in The language landscape of the Philippines in 4 maps, The Thinking Machines Data Science **researchers’ adopted term
  • 12. Language diversity across the country Source: Thinking Machines Data Science (https://stories.thinkingmachin.es/phili ppine-languages/#methodology)
  • 13. Sampling Strategy School Selection: - Size - Island group - Linguistic diversity Language Diversity School Size Luzon Visayas Mindanao LDCs Small 1 1 1 Medium 1 1 1 Large 1 1 1 L-LDCs Small 1 1 1 Medium 1 1 1 Large 1 1 1 Total no. of schools to visit per major island cluster 6 6 6 From the total of 18 randomly selected schools, 14 are public schools and four (4) are private schools.
  • 14. Sampling Strategy ▪ Linguistic diversity refers to the number of languages present, and the evenness of distribution of mother tongue speakers among languages in a given area (Terralingua). ▪ Based on the language diversity index (LDI), the closer the index is to 1, the more linguistically diverse (multilingual) the community is; the closer the index is to 0, the less linguistically diverse (monolingual) the community is. ▪ Provinces from each island cluster are classified according to their respective LDIs*: ▪ Provinces with LDIs of more than 0.50 are classified as linguistically diverse contexts (LDCs) ▪ Provinces with LDIs of less than 0.50 are classified as less linguistically diverse contexts** (L-LDCs) *Based on a language diversity index (LDI) per province enumerated in The language landscape of the Philippines in 4 maps, The Thinking Machines Data Science **researchers’ adopted term
  • 15. LUZON Name of School Location LDI Catholic School Guiguinto, Bulacan 0.03 Integrated School – Atlag Malolos, Bulacan 0.03 Elementary School Marikina City 0.05 Christian Academy La Trindad, Benguet 0.75 Elementary School Baguio City 0.75 Elementary School Tuba, Benguet 0.75
  • 16. VISAYAS Name of School Location LDI University (Main Campus) Cebu City 0.22 Elementary School Cebu City 0.22 Elementary School Consolacion, Cebu 0.22 Central School A Tacloban City 0.56 Central School B Tacloban City 0.56 Elementary School Dagami, Leyte 0.56
  • 17. MINDANAO Name of School Location LDI Private School Cagayan de Oro City 0.19 Elementary School A Cagayan de Oro City 0.19 Elementary School B Cagayan de Oro City 0.19 Elementary School Bislig City 0.74 Elementary School San Agustin, Surigao del Sur 0.74 Central School Zamboanga City 0.75
  • 18. Instruments Used Structured FGD/KII questionnaires Participant Profile sheet Classroom Observation checklist Online Quick Survey form
  • 19. FGD & KII Questionnaires ❖ Generates data on program theory & rationale, service delivery challenges, organization information
  • 20. Participant profile sheets ❖ For parents: Generates data on number of children in school, length of residence; ❖ For teachers: Generates data on subjects taught, length of service, highest educational attainment; ❖ For administrators: Generates data on length of service, highest educational attainment, & specific courses taken related to educational administration & management
  • 21. Classroom observation checklist ❖ Generates data on languages being used inside the classroom, pupils’ extent of participation using school’s MOI, whether or not textbooks are available, being used, etc.
  • 22. Online Quick Survey ❖ Generates data on number of schools implementing or not implementing the program, and what reasons are indicated for non-implementation; what language/s are being used as MTs in locations, and activities being done in regions (e.g. writing of Big Books, etc.)
  • 23. DATA SOURCES: attendance sheets, encoded data on accomplished participant profile sheets, and responses from online survey ● FGD and KII participants ● Participant profile ● Online Quick Survey Descriptive Statistics
  • 24. Table 1. Number of FGD/KII participants per type and island cluster (from 16 schools) LUZON VISAYAS MINDANAO TOTAL Parents 53 28 39 120 Teachers 59 26 44 129 Administrators 12 2 7 21 TOTAL 124 56 90 270 Source: attendance sheets
  • 25. Participant Profile DATA SOURCE: encoded data on accomplished participant profile sheets
  • 26. Table 3. Number of parents with one (1), two (2), or three (3) children in kinder to grade 3 Parents with one (1) child 76 67.26% Parents with two (2) children 32 28.32% Parents with three (3) or more children 5 4.42% Total 113 100% Parents of kinder to grade 3 pupils 114 Teachers of kinder to grade 3 pupils 120 Table 2. Total number FGD participants (from 12 schools encoded) *NOTE: One (1) parent/guardian out of 114 (parent was from Camp 4 Elementary School) did not indicate in the participant profile sheet the number of children he has in K-3.
  • 27. Table 4. Number of teachers per gender Male Teachers 3 2.5% Female Teachers 117 97.5% Total 120 100% Teachers with Bachelor’s Degree 95 79.2% Teachers with Master’s Degree 23 19.2% Teachers with Doctorate Degree 2 1.6% Total 120 100% Table 5. Number of teachers per level of educational attainment
  • 28. Table 6. Number of school head/staff/focal person per level of highest educational attainment With Bachelor’s Degree 5 35.7% With Master’s Degree 9 64.3% With Doctorate Degree 0 0 Total 14 100% *NOTE: There are only 14 participants who filled out the highest educational attainment section since there are five (5) out of 19 participants who only indicated their name and designation/title in the profile sheet.
  • 29. Online Quick Survey DATA SOURCE: responses from online survey
  • 30. Online Quick Survey Results Region No. of Responses Percentage Region I 1 / 2893 0.05% Region II 541 / 2569 29.01% Region III 2 / 4495 0.11% Region IV-A 501 / 5449 26.86% Region IV-B 90 / 2100 4.83% Region V 242 / 3624 12.98% Region VI 14 / 4420 0.75% Region VII 148 / 3721 7.94% Region VIII 0 / 3873 0
  • 31. Online Quick Survey Results Region No. of Responses Percentage Region IX 0 / 2348 0 Region X 249 / 2624 13.35% Region XI 0 / 2235 0 Region XII 18 / 2182 0.97% CARAGA 26 / 1912 1.39% ARMM 4 / 2328 0.21% CAR 0 / 1736 0 NCR 29 / 2638 1.55% TOTAL 1865 / 51147 100%
  • 32. QUICK SURVEY RESULTS Response Rates by Region 16,479 (32%) responded Note: All responses are current to the March 18, 2019 data collection date. Region Frequency Total schools % Reporting Region I 1707 2,893 59.0 Region II 713 2,569 27.8 Region III 1398 4,495 31.1 Region IV-A 1306 5,447 24.0 Region IV-B 917 2,100 43.7 Region V 1961 3,624 54.1 Region VI 545 4,420 12.3 Region VII 353 3,719 9.5 Region VIII 2529 3,873 65.3 Region IX 86 2,348 3.7 Region X 1430 2,624 54.5 Region XI 1097 2,235 49.1 Region XII 690 2,181 31.6 ARMM 51 2,328 2.2 CAR 269 1,736 15.5 CARAGA 1055 1,912 55.2 NCR 372 2,636 14.1 Total 16,479 51,140 32.2
  • 33. QUICK SURVEY RESULTS Number of schools implementing the MTB-MLE Almost all say they are implementing MTB-MLE Note: All responses are current to the March 18, 2019 data collection date. Response Public Private SUC/LUC Total Freq. % Freq. % Freq. % Freq. % No 82 0.5 110 12.5 0 0.0 192 1.2 Yes 15,518 99.5 768 87.5 1 100.0 16,287 98.8 Total 15,600 100.0 878 100.0 1 100.0 16,479 100.0
  • 34. QUICK SURVEY RESULTS Reasons why schools do not implement the MTB-MLE Notes: All responses are current to the March 18, 2019 data collection date. *Schools can mention more than one reason. Reasons for non-implementation* Number % Teachers lack relevant teaching materials 82 18.5 School does not have the dictionary of the language 73 16.5 Students lack textbooks 72 16.3 Teachers lack expertise in the MOI of the school 54 12.2 Students do not speak the MOI of the school 41 9.3 Parents do not speak and support the chosen MOI 39 8.8 Others 38 8.6 Teachers do not speak and support the chosen MOI 20 4.5 School officials do not speak and support the chosen MOI 15 3.4 School does not get support from the Central Office/Division Office 9 2.0 Total 443 100.0
  • 35. QUICK SURVEY RESULTS MOI used in schools Tagalog (32%) followed by Cebuano (23%) Notes: All responses are current to the March 18, 2019 data collection date. Schools can mention more than one MOI. MOI Frequency % Tagalog 5,370 32.02 Cebuano 3,809 22.71 Iloko 1,971 11.75 Other 1,270 7.57 Bikol 1,155 6.89 Waray 1,039 6.20 Hiligaynon 836 4.98 Pangasinense 333 1.99 Surigaonon 314 1.87 Meranao 181 1.08 Kinaraya 128 0.76 Kapampangan 117 0.70 Maguindanaoan 83 0.49 Ybanag 60 0.36 Tausug 34 0.20 Chabakano 26 0.16 Sambal 23 0.14 Yakan 14 0.08 Aklanon 6 0.04 Ivatan 2 0.01
  • 36. QUICK SURVEY RESULTS Number of MOI used in schools As many as 5; 81% only 1 Notes: All responses are current to the March 18, 2019 data collection date. Schools can mention more than one MOI. No. of MOI Frequency % 1 11,163 81.01 2 2,261 16.41 3 336 2.44 4 17 0.12 5 2 0.01 Total 13,779 100.00
  • 37. QUICK SURVEY RESULTS Number of minimum activities* done for those implementing MTB-MLE Less than 10% did the minimum 4 *writing of big books, documenting the orthography, the grammar, and the dictionary of the language No. of activities done Frequency % 1 6,922 48.9 2 3,487 24.6 3 1,520 10.7 4 1,288 9.1 0 945 6.7 Total 14,162 100.0
  • 38. QUICK SURVEY RESULTS Minimum activities done in the school implementing MTB- MLE Writing big books most common Notes: All responses are current to the March 18, 2019 data collection date. Activities done Frequency % Writing big books on language, literature and culture 10,818 44.0 Document the orthography of language 5,308 21.6 Document grammar of the language 4,316 17.6 Document dictionary of the language 3,166 12.9 Others 968 3.9 Total 24,576 100.0
  • 39. Summary ❖ MTB-MLE is based on sound, pedagogical foundation and embodies the concept of a learner-centered education; ❖ For the first time in the system of education in this country, mother tongues are recognized as integral to literacy and language learning; ❖ It is facing implementational challenges that could threaten program delivery and service ❖ DepEd needs to find more effective, efficient, and acceptable ways of implementing the program
  • 40. Program logic and plausibility Findings Recommendations Lack of common understanding and wrong appreciation of the basic rationale for the MTB-MLE program The linguistic practices on the ground in terms of language use is far from presumed ideal The belief that there is only one MT per locality is not borne out by research in the field. Even when regions are deemed ‘monolingual’ (NCR) schools are still multilingual Outcomes of war brought displacement, language dispersion Clarify and disseminate the MTB-MLE program theory to all stakeholders Re-assess the one MT per locality implementation policy The theory needs to recognize dialectical differences and provide clear guidance on implementing MTB-MLE under these conditions Step up information dissemination of empirical research highlighting the efficacy of learning in the MT. Encourage knowledge generation of how children learn many languages at once (‘simultaneous bilingualism’) which should inform/refine program theory and delivery of service Study the impact of social media on language acquisition and learning and see how best to harness these technological affordances. 40
  • 41. Service delivery and utilization Findings Recommendations All elements of the program had not been in place before the rollout of program Even before rollout, serious threats to the program (such as lack/dearth of LMs, absence of advance notice/preparation, competent teachers) had been pointed out It was assumed that administrators and teachers would simply embrace the program because it came from above The MTB-MLE program implementation appears to be limited to public schools. Private schools have developed their own “version” of the program, which is to teach only the MTS (mother tongue as subject) Step up the creation of localized/indigenized learning materials (LMs) that are quality-prepared, reviewed, and constantly updated. Continuously train teachers, whether new hires or veterans, in meaningful seminars. Regularly monitor and evaluate principals and teachers in implementing the MTB-MLE program. Implement continuous advocacy work by regional MTB- MLE focal persons (FPs). Instill pride and value of languages by making them visible in the landscape of the school. Use mother tongue as the language of assessments in all content areas in K-3. 41
  • 42. Program organization Findings Recommendations There are issues of procurement and the apparent lack of specific funding support for the MTB-MLE-related operational activities. The MTB-MLE-related activities had to compete for funding from the general MOOE of the schools. Procurement issues have hampered the delivery of learning materials. Teachers for the most part are adequate in number, but some lack the necessary competence Coordination with other agencies and LGUs are varied Only a few schools have dedicated focal persons in schools that provide guidance by echoing seminars (when there are seminars to echo) Designate a fund for MTB-MLE operational activities. Institutionalize the use of language mapping to determine the MOI K-3 of schools. Strengthen dedicated MTB-MLE Focal Person (FP) positions at the Division level Strengthen synergy between division, district, and schools in terms of best practices Enlist the help of local governments particularly in funding the localization efforts. 42
  • 43. Philippine Institute for Development Studies Surian sa mga Pag-aaral Pangkaunlaran ng Pilipinas Service through policy research 43 WEBSITE: www.pids.gov.ph FACEBOOK: facebook.com/PIDS.PH TWITTER: twitter.com/PIDS_PH EMAIL: aorbeta@mail.pids.gov.ph Thank you!
  • 44. MTB-MLE Research Team 44 Team Member Email Address Contact Number Dr. Aniceto Orbeta, Jr. aorbeta@mail.pids.gov.ph 09176522099 Jennifer Monje monjejd@hawaii.edu 09064650488 Dr. Kris Francisco-Abrigo kris.a.francisco@gmail.com 09210753872 Erlinda M. Capones ecapones@yahoo.com 09178132054 Marci Jeune Bacalla marcijeune@gmail.com 09171111024 Maropsil Potestad mpotestad@mail.pids.gov.ph 09065033564