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Assessment of Dumaran National High School TeachersTechnological-
Pedagogical Comspetence in Classroom Instructional Delivery
Claridad, Celestiene Jose C.
Department of Education, Palawan State University,
Puerto Princesa, Palawan, Philippines
DOI: https://doi.org/10.51583/IJLTEMAS.2026.150500076
Received: 08 May 2026; Accepted: 13 May 2026; Published: 02 June 2026
ABSTRACT
This study assessed the self-reported technological-pedagogical competence of teachers at Dumaran National
High School in classroom instructional delivery. Specifically, it sought to determine the demographic profile of
the respondents in terms of age, sex, teaching position, highest educational attainment, and years in teaching;
assess their technological-pedagogical competence in terms of Technology Operations and Concepts and
Pedagogy; and examine the relationship between their demographic profile and technological-pedagogical
competence. The study was framed as a school-based local assessment intended to generate context-specific
evidence for professional development planning at Dumaran National High School.
The study employed a descriptive-correlational research design using total enumeration. Thirty-three teachers
participated in the study, excluding the researcher to avoid bias and conflict of interest. The research instrument
was adapted from the National ICT Competency Standards for Teachers and was administered through Google
Forms. Frequency counts, percentages, means, Cronbach’s alpha, Fisher’s Exact Test, cross-tabulations, Mann-
Whitney U test, and Kruskal-Wallis test were used to analyze the data.
Findings revealed that most respondents were 25–30 years old, female, Teacher I, Bachelor’s Degree holders,
and had 03 years of teaching experience. The teachers demonstrated a moderately high level of self-reported
technological-pedagogical competence in both Technology Operations and Concepts and Pedagogy, with an
overall grand mean of 2.99. Reliability analysis showed excellent internal consistency for the Technology
Operations and Concepts subscale, Pedagogy subscale, and overall instrument. Although the overall competence
level was moderately high, lower-rated areas were identified in the use of spreadsheets, online repositories,
information and data management, and technology-supported assessment.
Using Fisher’s Exact Test, teaching position was found to have a significant association with categorical
technological-pedagogical competence, while age, sex, highest educational attainment, and years in teaching
were not significant. Follow-up cross-tabulations showed that teaching position was also associated with age
and years in teaching, suggesting that the teaching-position result should be interpreted cautiously.
Supplementary non-parametric tests using continuous mean scores showed no significant differences according
to sex and highest educational attainment, but significant differences were found across age groups, teaching
positions, and years-in-teaching groups.
The study concluded that teachers at Dumaran National High School generally perceived themselves as
moderately competent in integrating technology into classroom instruction. However, continuous school-based
professional development is needed, particularly in spreadsheets, digital repositories, data management, and
technology-supported assessment. Since the study was conducted in a single school with 33 respondents and
relied on self-reported data, the findings should be interpreted as context-specific and not broadly generalizable
to all teachers.
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INTRODUCTION
Background of the Study
The beginning of the 21st century marked the proliferation of technology, and this change is reflected not only
in business, economics, and health but also in Education. Today's generation seeks learners who are not only
literate but also capable of using technology for communication, content creation, and collaboration. The
integration of Information and Communication Technology (ICT) has been a very prevalent topic among
educators. Some teachers have the capacity to use technology, but much less is understood about their ability to
incorporate such tools in classroom instruction.
Across recent research, teachers' technological skills are seen as essential, not optional. According to Gangmei
and Thomas (2025), teachers with strong ICT skills improve instructional efficacy and raise educational
standards. In addition, technology-integrated teaching makes lessons more effective, exciting, and interactive,
and keeps learners motivated (Akram et al., 2022; Ramaila & Molwele, 2022). Moreover, effective use requires
selecting and adapting tools, designing meaningful activities, managing technical issues, and using assessment
with timely feedback (Nurhidayat et al., 2024). Furthermore, Falloon (2020), Skatz-Aberg et al. (2022), and
Eskici and Cayak (2023) suggest that digital competence frameworks emphasize the integration of technical,
pedagogical, and content knowledge. This literature generally supports the idea that technological use truly
enriches classroom discussion and should be integrated into the instructional context.
Technological-pedagogical competence refers to teachers' ability to integrate technology and pedagogy to
deliver content that is more understandable and meaningful to students. The use of technology not only enriches
instruction; it also supports the development of students' 21st-century skills. According to Nurhidayat et al.
(2024), Ramaila and Molwele (2022), and Rahimi (2023), technology integration helps develop communication,
collaboration, critical thinking, creativity, problem-solving, and computational thinking. In addition, Ng et al.
(2023), Falloon (2020), Kiryakova and Kozhuharova (2024), and Elsayary (2023) reported that teachers' digital
competence enables them to nurture students' digital literacy and AI capabilities for a digital society and future
jobs.
The National ICT Competency Standards for Teachers (NICS) are widely used to describe the competence
teachers need to integrate technology effectively into teaching. The research below shows how it relates to
teacher practice and digital competence. In the study by Mijares (2022), the NICS was used to assess elementary
teachers' ICT competencies in Malolos, covering four domains: technology operations and concepts,
social/ethical, pedagogical, and professional. Moreover, Batan et al. (2022) used a standardized NICS-based
questionnaire to evaluate technology operations and concepts among state university teachers. Furthermore,
Ibarrientos (2025) used a survey questionnaire adapted from the NICS framework to determine ICT teachers'
competence in the four NICS domains in Ligao City. These studies have shown that the National ICT
Competency Standards for Teachers (NICS) are widely used to assess teachers' ICT skills and their technology
integration in the classroom. Various researchers have adopted the framework.
Research has long examined the link between demographic and background characteristics and ICT competence.
However, research has shown mixed results, with often weaker relationships than those for psychological or
contextual factors. According to Suzer and Koc (2024), male teachers, those teaching mathematics or science,
those with postgraduate degrees in metropolitan areas, and those with more devices are more digitally competent.
Moreover, he found out that age and school type do not affect digital competence. In addition, Abad and Holgado
(2022) found that in-service teachers' digital competence varies significantly by age, years of teaching
experience, and educational level.
Furthermore, Zhao (2024) reported that older teachers have lower ICT competence, with age negatively
predicting competence, and that this relationship is moderated by the subject taught. Similarly, Gamit (2023)
said that younger math teachers rated ICT as more effective for learning and competence than older teachers.
These research findings have yielded mixed results across groups: some claim that demographics are not
significantly related to ICT competencies, while others show that key differences among demographics reflect
distinct ICT competencies. Systematic reviews highlight attitudes, self-efficacy, prior ICT use, and training as
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stronger predictors of digital competence than demographics alone (Lan et al., 2024; Claro et al., 2024). Thus,
for explaining teachers' ICT competence, studies recommend treating demographics as one piece within a
broader set of psychological and institutional factors.
Research on Philippine public school teachers' ICT competence generally shows basic to moderate skills. It has
been shown that teachers need more training, infrastructure, and support. According to Caluza et al. (2017),
public elementary teachers in Tacloban were mostly at the basic level of ICT knowledge. They needed further
training in integrating ICT into teaching and related tasks. On the other hand, Bañez and Yedra (2019) reported
that elementary teachers in Tanauan City are highly competent in using technology literacy approaches and in
using ICT to monitor progress and support higher-order skills. Similarly, Gamboa and Gamboa (2020) found
that teachers are highly competent in MS Word and competent in Excel and PowerPoint in the Microsoft
competency test, but are constrained by a lack of equipment. Related to these different findings, all of them agree
that infrastructure gaps, such as devices and connectivity, and inconsistent implementation limit how far
competence translates into everyday classroom use (Caluza et al., 2017; Gamit, 2023; Gamboa & Gamboa, 2020;
Enorme et al., 2024). These various studies confirm that teacher digital competence is affected by ongoing
deficits and insufficient ICT training, highlighting the need for systematic professional development for teachers.
This highlights the importance of systematically identifying the ICT-related competencies that Dumaran
National High School possesses, to provide targeted approaches that help teachers improve their teaching
practice.
At Dumaran National High School, teachers have been observed using ICT tools in the classroom. These may
include computers, presentation tools, online resources, and other digital materials. However, despite the
observed use of ICT in the school, no formal study has been conducted to determine teachers' technological-
pedagogical competencies. It is also unclear which specific areas teachers are already competent in and which
require further training.
This gap provides a basis for this study. Given that previous studies have yielded varying results across locales,
it is necessary to investigate this topic in the context of Dumaran National High School. Assessing the
technological-pedagogical competence of teachers at Dumaran National High School provided a basis for
identifying the training programs they need.
Considering the localized nature of ICT access, teacher training opportunities, and school-level technology
support, there is a need to examine teachers’ technological-pedagogical competence within specific school
contexts. Therefore, this study is framed as a local assessment of Dumaran National High School rather than as
a generalizable study of all public secondary school teachers. By focusing on one school, the study provides
context-specific evidence that can be used to identify teachers’ strengths, areas for improvement, and
professional development needs related to technology integration in classroom instruction.
Thus, this study aimed to conduct a school-based assessment of the technological-pedagogical competence of
teachers at Dumaran National High School. Rather than seeking broad generalization, the study focused on
generating context-specific evidence that may guide school administrators in planning ICT-related professional
development, instructional supervision, and teacher support programs.
Theoretical Framework
Technological Pedagogical Content Knowledge (TPACK) is a central framework for understanding the teacher
knowledge needed to integrate technology effectively in teaching. According to Li et al. (2022), TPACK is not
a simple collection of content, pedagogy, and technology but a dynamic integration of the three that supports
teaching subject matter with technology. Although the present study does not measure the full TPACK
framework because content knowledge is outside its scope, it is informed by the interaction between
technological knowledge and pedagogical knowledge. In this study, the technology operations and concepts
domain represent the Dumaran National High School teachers’ technological knowledge, while the Pedagogy
domain represents the teachers’ ability to use technology in the teaching-learning process. These two domains
of TPACK framework serve as the basis in assessing the Dumaran National High School teachers’ self-reported
technological-pedagogical competence in delivering classroom instruction.
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The National ICT Competency Standards for Teachers (NICS) are widely used in Philippine educational research
to measure teachers’ ICT skills and practices. They are considered appropriate because they are nationally
developed, DepEd-aligned, and reflect competencies needed in local schools. Villegas (2023), Ibarrientos
(2025), Rondubio (2025), Vega (2025), and Cantabrana (2019) highlighted that strengthening teachers’ NICS-
based competencies supports DepEd priorities, including ICT integration in public schools, 21st-century skills
development, and the DepEd Computerization Program.
Statement of the Problem
This study generally determined the Technological-Pedagogical Competence of Teachers at Dumaran National
High School. Specifically, this study answered the following questions:
1. What is the demographic profile of the respondents in terms of:
1. Age
2. Sex
3. Position
4. Highest Education Obtained; and
5. Total Number of Years in Teaching (Private and Public)?
2. What is the technological-pedagogical competence of the teachers at Dumaran National High School in
terms of:
2.1 Technology Operations and Concepts; and
2.2 Pedagogy?
3. Is there a significant relationship between the teachers' demographic profile and their technological-
pedagogical competence?
Scope and Delimitation
This study assessed the technological-pedagogical competence of teachers at Dumaran National High School
during the school year 2025-2026. It focuses on understanding of Dumaran National High School teachers'
ability to integrate technology into their teaching practice. This study was conducted at Dumaran National High
School in the island municipality of Dumaran, Palawan. The technological-pedagogical instrument is a Likert-
scale instrument that evaluates Dumaran National High School teachers' competence in the following areas:
Technology Operations and Concepts, and Pedagogy.
This study is limited to the assessment of teachers' technological-pedagogical competence at Dumaran National
High School. It does not measure the Dumaran National High School teachers' content knowledge but instead
focuses on their ability to use technology to deliver the lesson content. This study was conducted in May 2026.
Since the study involved only one school and a small number of respondents, the results are not intended to
represent all teachers in Dumaran, Palawan, MIMAROPA, or the Philippines. Instead, the findings should be
interpreted as a local assessment that may guide school-level decisions on ICT training, instructional supervision,
and teacher development.
Significance of the Study
The assessment of technological-pedagogical competence of teachers provides an opportunity for researcher to
evaluate the technological knowledge and skills of teachers and their competence in using technology in
instructional delivery, particularly the Junior and Senior High School Teachers at Dumaran National High
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School. In line with the 21st-century Department of Education's 21st-century goals, pursuing this research is
important.
To the administrators, sustaining quality education is the ultimate goal of Education. The learning students get
primarily depends on teachers' competence in selecting, designing, and implementing curricular content. This is
translated to teachers' use of technology in delivering classroom instruction. Understanding teachers'
technologicalpedagogical competence can guide school administrators in identifying the competencies and
training needs related to technological-pedagogical topics.
For teachers, the results of this study provided information on the technological-pedagogical competencies they
need to work on. Knowing the areas they need to improve will help them identify avenues to address these
concerns.
For future researchers, the results of this study served as a basis for further understanding of this topic. It could
serve as a basis or reference for discussing their findings and results. Moreover, in this era of technological
advancement, we must explore various facets of understanding related to teachers' technological-pedagogical
competence.
METHODOLOGY
Research Design
This study employed a descriptive-correlational research design within a single-school case assessment
approach. It is descriptive because it determined and described the demographic profile of the Dumaran National
High School teachers, including age, sex, position, highest educational attainment, and total years of teaching
experience. It also described the Dumaran National High School teachers’ technological-pedagogical
competence in terms of Technology Operations and Concepts and Pedagogy. The data was analyzed using
appropriate statistical tools, including frequency (count), percentage, and average.
Furthermore, this study is correlational, which determined whether there is a significant relationship between
respondents' demographic profiles and their technological-pedagogical competence. Specifically, this study
examined whether Dumaran National High School teachers' variables, such as age, sex, teaching position,
educational attainment, and years of teaching experience, are associated with their technological-pedagogical
competencies in classroom instruction.
This research design is appropriate because it allows the researcher to describe the current level of Dumaran
National High School teachers' competence and the possible relationship between personal and professional
characteristics and their technological-pedagogical competence. This study is framed as a local assessment
because it focused on one school and used total enumeration of its teaching personnel. The purpose was not to
generalize the findings to all public secondary school teachers, but to generate evidence that may inform school-
based professional development and ICT integration planning at Dumaran National High School.
Locale
This study was conducted at Dumaran National High School, located in Poblacion, Dumaran, Palawan. The
school is one of the three secondary schools in the island district of Dumaran, and it is situated in the central part
of the municipality. It is accessible by sea and land, serving learners in Dumaran from all walks of life.
Dumaran National High School was established in 1969 and was formerly known as Dumaran Barangay High
School. Over the years, it has been one of the leading schools in the municipality. At present, Dumaran National
High School serves as a major institution that promotes educational and community development in Dumaran.
The school offers Junior and Senior High School programs. Its academic offering includes the Special Science
Class for Grade 7 and 8 Learners, Regular Class for Grade 7 to 10 learners, Science Technology Engineering
and Mathematics (STEM) Strand, Electrical Installation and Maintenance (EIM) Strand, and the first Alternative
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Learning System Senior High School (ALS-SHS) in the MIMAROPA Region. This program demonstrates a
commitment to offering diverse educational programs that provide students with opportunities.
Currently, the Dumaran National High School has 34 teaching personnel, 4 non-teaching personnel, and is
managed by 1 school principal. It caters to approximately 450 learners. Since this study concerns the
technological-pedagogical competence of teachers in delivering classroom instruction, Dumaran National High
School is the appropriate locale, as its teachers are directly involved in instruction across various programs and
grade levels.
Research Instrument
The researcher used a survey questionnaire as the primary data collection tool for this study. The questionnaire
was composed of two parts. The first part asked respondents about their demographic profile, including age, sex,
teaching position, highest educational attainment, and years of teaching experience. The second part assessed
respondents' technological-pedagogical competence in classroom instruction.
The questionnaire was administered via Google Forms to improve data collection efficiency. This platform
allowed teacher-respondents to complete the questionnaire at their preferred time and, for the researcher, will
make data organization and collection easier, facilitating access for statistical analysis. However, Google Forms
were only used as the mode for administering the questionnaire. The survey questionnaire remained the primary
research instrument for this study.
The instrument for assessing teachers' technological-pedagogical competence was adopted from the National
ICT Competency Standards for Teachers. This instrument is appropriate for this study because it contains
competencies that measure the teacher's knowledge and skill in the use of information, communication, and
technology in delivering classroom instruction
There are two major domains under the technological-pedagogical competencies: Technology Operations and
Concepts, and Pedagogy.
The first domain, Technology Operations and Concepts, focuses on teachers' knowledge and skills in ICT tools,
computer systems, communication devices, and online and offline applications. This domain includes
competencies on basic technical operations, troubleshooting, productivity tools, internet and network
applications, and information and data management. It consists of four standards. The first standard measures
teachers' knowledge and skills in basic computer operations and the use of other information devices, including
basic troubleshooting and maintenance, with 9 indicators. The second standard assesses teachers' ability to use
appropriate office and teaching productivity tools, with sixteen indicators. The third standard determines
teachers' knowledge of the use of the internet, network applications, and digital resources, with 7 indicators. The
fourth standard measures the teachers' competence in information and data management, with five indicators.
The second domain, Pedagogy, focuses on the use of technology in the teaching learning process. It includes
competencies in planning and designing technologysupported learning environments, implementing teaching
learning strategies using ICT, monitoring student learning, and assessing learners' performance through
technologyenhanced methods. This domain emphasizes the teachers' ability to integrate technology to promote
student engagement, creativity, and higherorder thinking skills.
Under the pedagogy domain, there are six standards. The first standard is on the application of technology to
develop higherorder thinking skills and creativity, with two indicators. The second standard assesses the
teachers' ability to provide performance tasks that require students to locate and analyze information and to use
a variety of media to communicate results, with two indicators clearly defined. The third standard determines
the teachers ability to create open and flexible learning environments where technology supports student
interaction, cooperative learning, and peer instruction. This standard has one indicator. The fourth standard is all
about teachers' skills in evaluating the use of ICT integration in the teachinglearning process and in using the
results to refine the design of learning activities, with three indicators. The fifth standard is on the use of
computers and other technologies to collect and communicate information to students' colleagues, parents, and
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others, with two indicators. The sixth standard is on applying technology to facilitate a variety of appropriate
assessment and evaluation strategies, recognizing the diversity of learners, with two indicators.
The items were rated on a 4-point Likert scale to determine teachers' technologicalpedagogical competence.
The result also served as the basis for determining the teachers' areas for improvement in relation to technology
integration and pedagogical practices.
To determine the mean range and its equivalent verbal interpretation, the following guide was used for the
presentation of the result.
Table 1: Mean Range and Verbal Interpretation
Mean Range
Interpretation
3.26 4.00
High Level of Competence
2.51 3.25
Moderately High Level of Competence
1.76 2.50
Low Level of Competence
1.00 1.75
Very Low Level of Competence
Reliability of the Instrument
Table 2: Reliability Statistics of the Technological-Pedagogical Competence Instrument
Subscale
Number of
Items
Mean
SD
Cronbach’s
Alpha
Interpretation
Technology
Operations and
Concepts
37
3.02
0.506
0.978
Excellent
Pedagogy
12
3.00
0.552
0.945
Excellent
Overall
Technological-
Pedagogical
Competence
49
3.01
0.495
0.982
Excellent
To determine the internal consistency of the instrument in the present sample, reliability analysis was conducted
using Cronbach’s alpha. As shown in Table 2, the Technology Operations and Concepts subscale, composed of
37 items, obtained a Cronbach’s alpha value of 0.978, indicating excellent internal consistency. Its item-rest
correlations ranged from 0.114 to 0.888. The Pedagogy subscale, composed of 12 items, obtained a Cronbach’s
alpha value of 0.945, also indicating excellent internal consistency, with item-rest correlations ranging from
0.612 to 0.896. For the overall 49-item Technological-Pedagogical Competence instrument, Cronbach’s alpha
was 0.982, with item-rest correlations ranging from 0.062 to 0.878. These results indicate that the instrument
had excellent internal consistency for the present sample.
Although the overall reliability was excellent, TOC4 showed a low item-rest correlation in both the Technology
Operations and Concepts Subscale and the overall scale. This suggests that TOC4 had a weak association with
the other items. However, the item was retained because the instrument was adapted from the National ICT
Competency Standards for Teachers, and the reliability coefficients remained excellent even with the item
included. The very high alpha values may also suggest similarity among some items; thus, the reliability results
were interpreted with caution considering the small sample size.
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Data Gathering Procedure
The researcher first secured the principal's approval from Dumaran National High School to conduct the study.
A formal letter was submitted to the school principal indicating the purpose of the research, the target
respondents, the data collected, and the manner in which the data was treated.
Upon the school principal's approval, the researcher informed the teachers of Dumaran National High School of
their participation in this study. The purpose of the research was explained to them, and they were assured that
the data collected was treated with the utmost confidentiality.
Afterward, the survey instrument was prepared and administered utilizing Google Forms. The Google Form link
was forwarded to the teacher and respondents, allowing them to access it at their convenience. Using Google
Forms provided easy access and data collection, enabling faster results.
Once the respondents completed the survey, the researcher retrieved the data from Google Forms. The collected
data were then checked, tabulated, and analyzed using appropriate statistical tools.
Respondents of the Study
The respondents of this study were the teachers of Dumaran National High School for the school year 2025
2026. The researcher used total enumeration sampling, meaning that all teachers at Dumaran National High
School served as respondents in this study.
This sampling method is appropriate because the number of teachers at Dumaran National High School is
manageable and all of them are directly involved in classroom instruction. Including all teachers allowed for a
more comprehensive assessment of the technological-pedagogical competencies of teachers at Dumaran
National High School.
The school has a total of 34 teaching personnel. However, since the researcher is also a teacher at Dumaran
National High School, he was excluded from the respondents to avoid bias and conflict of interest. Thus, the
study had a total of 33 teacher respondents.
The data were gathered from the personal assessments of the teacher respondents regarding their technological-
pedagogical competence. Specifically, the self-assessment focused on teachers' competencies in technology
operations and concepts, and in pedagogy as applied in classroom instruction.
Statistical Treatment
The researcher used the Jamovi version 2.7.6 in the analysis and interpretation of data. The responses collected
from the Google form were encoded and processed using the software to ensure accuracy and efficiency of
statistical analysis.
For the descriptive part of the study, frequency counts and percentages were used to describe the demographic
profile of the teacher respondents. Meanwhile, the mean was used to determine the level of technological-
pedagogical competencies of the teacher respondents.
To determine whether there is a significant relationship between the demographic profile of the respondents and
their technological–pedagogical competence, the Fisher’s Exact Test was used due to the small sample size and
the presence of cells with low expected frequencies. This statistical test is appropriate because the study seeks
to determine the association between respondents' demographic variables and their technologicalpedagogical
competence.
The result of Fisher’s Exact Test was interpreted using the 0.05 level of significance. If the computed p-value is
less than or equal to the level of significance, then the relationship between these variables is significant.
However, if the computed p-value exceeds the significance level, the relationship is not significant.
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Cross-tabulations were also conducted to further examine the significant teaching-position result, particularly its
possible overlap with age and years in teaching. In addition, supplementary non-parametric tests were conducted
using the respondents’ continuous overall technological-pedagogical competence mean scores. The Mann-
Whitney U test was used for demographic variables with two groups, namely sex and highest educational
attainment. The Kruskal-Wallis test was used for demographic variables with more than two groups, namely
age, teaching position, and years in teaching. These supplementary tests were conducted to determine whether
similar patterns would emerge when continuous mean scores were used instead of categorized competence
levels.
Cronbach’s alpha was used to determine the internal consistency of the Technology Operations and Concepts
subscale, Pedagogy subscale, and the overall Technological-Pedagogical Competence instrument. Item-rest
correlations were also examined to determine the contribution of individual items to each scale.
Ethical Considerations
This study adheres to the ethical guidelines to ensure the integrity and respect of the research process towards
the participants. All participating teachers were informed regarding the purpose of this study, their role as
participants of this study, and the steps involved in accomplishing this study.
All personal and professional information given by the participants was treated with utmost confidentiality. They
were informed that their participation in this study is entirely voluntary and they have the right to refuse or
withdraw at any time throughout the conduct of this study.
RESULT AND DISCUSSION
Demographic Profile. Table 3 through 7, presents the demographic profile of the Dumaran National High School
teachers in terms of age, sex, teaching position, highest educational attainment, and the number of years in
teaching (private/public).
Table 3: Distribution of the Respondents’ Age
Age
Counts
Percentage
Under 25
1
3.03%
25 30
19
57.58%
31 35
2
6.06%
36 40
3
9.09%
41 45
4
12.12%
46 50
1
3.03%
51 55
0
0.00%
Over 55
3
9.09%
TOTAL
33
100.00%
Table 3 shows the age distribution of the Dumaran National High School teachers. The findings revealed that
the majority of the respondents are between 25 30 years old, with 19 respondents or 57.58% of the total
population. It is followed by 41 45 years old, with 4 respondents or 12.12% of the total population. The 36
40 years old and over 55 years old both comprise 3 respondents or 9.09% each. Moreover, 31 35-year-olds
have 2 respondents or 6.06%, whereas those under 25 years old and 46 50 years old have 1 respondent or
3.03% each. No respondent is aged 51 55 years old.
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The result showed that the teaching personnel at Dumaran National High School are dominantly young teachers.
This may suggest that many respondents belong to an age group that is generally more familiar with digital
technologies; however, actual technology exposure was not directly measured in this study.
Table 4: Distribution of Sex of the Respondents
Sex
Counts
Percentage
Female
27
81.82%
Male
6
18.18%
TOTAL
33
100.00%
Table 4 shows the sex distribution of the respondents. The findings revealed that majority of the respondents are
female, with 27 respondents or 81.82% of the total population. On the other hand, there were 6 respondents, or
18.18% of the total population are male.
The result showed that the teaching personnel at Dumaran National High School are dominantly female. This
result is consistent with the common demographic observed in the education sector, where women usually
comprise a larger proportion.
Table 5: Distribution of Teaching Position of the Respondents
Teaching Position
Counts
Percentage
Teacher I
25
75.76%
Teacher II
2
6.06%
Teacher III
6
18.18%
TOTAL
33
100.00%
Table 5 shows the teaching position distribution of the respondents. The findings revealed that the majority of
the respondents are Teacher I, with 25 respondents or 75.75% of the total population. It is followed by Teacher
III with 6 respondents or 18.18% of the total population. Moreover, there are only 2 respondents or 6.06% of the
total population whose position is Teacher II.
These findings imply that the teaching personnel at Dumaran National High School are predominantly those in
the entry-level teaching position. This result corresponds to the young age profile and the number of teaching
personnel in the Teacher I position.
Table 6: Distribution of the Highest Educational Attainment of the Respondents
Highest Educational Attainment
Counts
Percentage
Bachelor's Degree
31
93.94%
Master's Degree
2
6.06%
TOTAL
33
100.00%
Table 6 shows the highest educational attainment distribution of the respondents. The findings revealed that the
majority of the respondents are Bachelor’s Degree holders, with 31 respondents or 93.94% of the total
population. There are only 2 respondents, or 6.06% of the total population, who are Master’s Degree holders.
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These findings suggest that the teaching personnel at Dumaran National High School mostly have not yet earned
a Master’s Degree. This may indicate the need for continued encouragement to teachers to pursue advanced
graduate studies.
Table 7: Distribution of the Number of Years in Teaching (Public/Private) of the Respondents
Number of Years in Teaching
Counts
Percentage
0 - 3 years
15
45.45%
4 - 10 years
11
33.33%
More than 10 years
7
21.21%
TOTAL
33
100.00%
Table 7 shows the number of years in teaching of the respondents. The findings revealed that the majority of the
respondents have 0 3 years in teaching, with 15 respondents or 45.45% of the total population. This was
followed by teachers who have been in the teaching profession for 4 10 years, with 11 respondents or 33.33%
of the total population. On the other hand, there were 7 respondents or 21.21% of the total population who have
been teaching for more than 10 years.
The result indicates that the large population is new to the teaching profession. This suggests that these groups
are still in the process of developing their technological-pedagogical competencies through experience.
Technological-Pedagogical Competencies. Tables 8 through 10, present the level of technological-pedagogical
competence of teachers in terms of two domains: (1) Technology Operations and Concepts, and (2) Pedagogy.
Table 8: Teachers’ Technological – Pedagogical Competence in terms of Technology Operations and Concepts
INDICATORS
Mean
Verbal Interpretation
DOMAIN A: TECHNOLOGY OPERATIONS AND CONCEPTS
Standard 1: Demonstrate knowledge and skills in basic computer operation and other information
devices, including basic troubleshooting and maintenance.
1
Identify and define the functions of the main
components (i.e. monitor, CPU, keyboard,
mouse) of the computer.
3.24
Moderately High Level of
Competence
2
Identify and define the functions of computer
peripherals (i.e. printer, scanner, modem,
digital camera, speaker, etc.)
3.33
High Level of Competence
3
Properly connect main components, configure
peripherals and install drivers when required.
2.88
Moderately High Level of
Competence
4
Configure computer settings of various
software and hardware.
2.76
Moderately High Level of
Competence
5
Understand the basic functions of the
operating system
3.09
Moderately High Level of
Competence
6
Organize and manage computer files, folders
and directories.
3.27
High Level of Competence
7
Use storage devices (i.e. hard disk, diskette,
CD, flash memory, etc.) for storing and
sharing computer files. Create back-ups of
important files.
3.24
Moderately High Level of
Competence
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8
Protect the computer from virus, spyware,
adware, malware, hackers etc.
2.76
Moderately High Level of
Competence
9
Use online and offline help facilities for
troubleshooting, maintenance and update of
applications.
2.72
Moderately High Level of
Competence
MEAN
3.03
Moderately High Level of
Competence
Standard 2: Use appropriate office and teaching productivity tools.
1
Use a word processor to enter and edit text and
images.
3.48
High Level of Competence
2
Format text, control margins, layout and
tables.
3.27
High Level of Competence
3
Print, store and retrieve text documents from
word processor.
3.24
Moderately High Level of
Competence
4
Use a calculation spreadsheet to enter data,
sort data and format cells into tables.
2.79
Moderately High Level of
Competence
5
Make computation, use formula and create
graphs using spreadsheets.
2.54
Moderately High Level of
Competence
6
Print and store data tables using a spreadsheet
application.
2.82
Moderately High Level of
Competence
7
Use a presentation package to add text and
sequence a presentation.
3.09
Moderately High Level of
Competence
8
Enhance slide presentations by adding sound,
customizing animation and inserting images.
3.12
Moderately High Level of
Competence
9
Print presentation handouts and store slide
presentations.
3.42
High Level of Competence
10
Make effective class presentations using the
slides and LCD projector.
3.30
High Level of Competence
11
To acquire digital images and other media
from web sites, CD, flash drives, etc.
3.21
Moderately High Level of
Competence
12
Crop, scale, color correct and enhance digital
images.
3.03
Moderately High Level of
Competence
13
Play various media files using appropriate
media players.
3.12
Moderately High Level of
Competence
14
Stitch together video footages and sound
tracks and add simple enhancements
transitions, titles, etc.
3.82
High Level of Competence
15
Attach and configure scanners, cameras, cell
phone to acquire digital images.
3.09
Moderately High Level of
Competence
16
Store digital images using optical media (CD,
DVD, flash disk) and online repositories.
2.88
Moderately High Level of
Competence
MEAN
3.14
Moderately High Level of
Competence
Standard 3: Understand and effectively use the Internet and network applications and resources
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1
Connect to the internet via dial-up or LAN.
2.91
Moderately High Level of
Competence
2
Configure and use Web Browsers and Help
applications.
2.91
Moderately High Level of
Competence
3
Send and receive emails with attachments,
manage emails and use LAN and Web-based
mail servers.
3.09
Moderately High Level of
Competence
4
Effectively use synchronous and
asynchronous web-based communication
tools like instant messengers, voice and
teleconferencing.
3.03
Moderately High Level of
Competence
5
Connect and use shared printers, shared
folders and other devices within a network.
2.94
Moderately High Level of
Competence
6
Effectively use search engines, web
directories and bookmarks
2.91
Moderately High Level of
Competence
7
Download and install relevant applications
including freeware, shareware, updates,
patches, viewers and support applications.
2.85
Moderately High Level of
Competence
MEAN
2.95
Moderately High Level of
Competence
Standard 4: Demonstrate knowledge and skills in information and data management.
1
Effectively use search engines, directories,
crawlers, and agents to locate information
sources.
2.79
Moderately High Level of
Competence
2
Search and collect textual and non-textual
information from online and offline sources.
2.85
Moderately High Level of
Competence
3
Efficiently store and organize collected
information using directories, drives, or
databases.
2.85
Moderately High Level of
Competence
4
Distribute, share, publish, and print
information via print or web.
2.88
Moderately High Level of
Competence
5
Properly acknowledge information sources
online and offline.
3.09
Moderately High Level of
Competence
MEAN
2.89
Moderately High Level of
Competence
GRAND MEAN
3.00
Moderately High Level of
Competence
Table 8 presents the level of technological-pedagogical competence of the teachers at Dumaran National High
School in terms of Technology Operations and Concepts. The findings generally revealed a Moderately High
Level of Competence in Technology Operations and Concepts, with a grand mean of 3.00. This indicates that
the teachers at Dumaran National High School perceived themselves as generally capable of operating
technology and have a conceptual understanding of technology.
Among the four standards under this domain, Standard 2: Use appropriate office and teaching productivity tools
obtained the highest mean of 3.14 with verbal interpretation as Moderately High Level of Competence. The
teachers at Dumaran National High School have a High Level of Competence in using word processors to enter
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and edit text and images, formatting text, controlling margins, layout, and tables. Moreover, they also have a
high level of Competence in terms of printing presentation handouts and storing slide presentations, making
effective class presentations using the slides and LCD projector, and stitching together video footage and
soundtracks and adding simple enhancements transitions, titles, etc.
Meanwhile, Standard 4: Demonstrate knowledge and skills in information and data management obtained the
lowest mean of 2.89, although still interpreted as a Moderately High Level of Competence. This suggests that
teachers need to improve in information and data management.
Furthermore, the result indicates that the Dumaran National High School teachers are generally competent in
using office productivity tools like MS Word and PowerPoint. These tools are necessary for instructional
purposes. This finding supports the study of Gamboa and Gamboa (2020), which found that teachers are highly
competent in using MS Word, and competent in Excel and PowerPoint applications. However, the findings
contradict the study of Caluza et al. (2017), which found that public elementary teachers were mostly at the basic
level of ICT knowledge and still required additional ICT integration training. The respondents have shown that
they already have a moderately high level of competence in many indicators under technology operations and
concepts.
Table 9: Teachers’ Technological-Pedagogical Competence in terms of Pedagogy
Domain B Pedagogical
Standard 1: Apply technology to develop students’ higher-order thinking skills and creativity.
1
Make student databases, spreadsheets, concept mapping
tools, and communication tools, etc.
2.85
Moderately High
Level of
Competence
2
Encourage students to do data analysis, problem solving,
decision making, and exchange of ideas.
3.06
Moderately High
Level of
Competence
MEAN
2.96
Moderately High
Level of
Competence
Standard 2: Provide performance tasks that require students to locate and analyze information and to
use a variety of media to clearly communicate results.
1
Use appropriately slide presentations, videos, audio and
other media in the classroom.
3.33
High Level of
Competence
2
Teach students to use various multimedia materials for
the reports and class presentations
3.09
Moderately High
Level of
Competence
MEAN
3.21
Moderately High
Level of
Competence
Standard 3: Conduct open and flexible learning environments where technology is used to support a
variety of interactions among students, cooperative learning and peer instruction.
1
Use various synchronous and asynchronous
communication tools (email, chat, whiteboards, forums,
blogs) to facilitate cooperative learning and exchange of
ideas and information.
3.00
Moderately High
Level of
Competence
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MEAN
3.00
Moderately High
Level of
Competence
Standard 4: Evaluate usage of ICT integration in the teaching-learning process and use results to refine
the design of learning activities.
1
Design rubrics for assessing student performance in the
use of various technologies
3.00
Moderately High
Level of
Competence
2
Use electronic means of administering quizzes and
examinations
3.03
Moderately High
Level of
Competence
3
Analyze assessment data using spreadsheets and
statistical applications.
3.03
Moderately High
Level of
Competence
MEAN
3.02
Moderately High
Level of
Competence
Standard 5: Use computers and other technologies to collect and communicate information to students’
colleagues, parents, and others.
1
Use emails, group sites, blogs, etc. for disseminating
information directly to students, colleagues and parents.
3.12
Moderately High
Level of
Competence
2
Use emails, group sites blogs, etc. to collect information
and feedback directly from students, colleagues and
parents.
3.06
Moderately High
Level of
Competence
MEAN
3.09
Moderately High
Level of
Competence
Standard 6: Apply technology to facilitate a variety of appropriate assessment and evaluation strategies
recognizing the diversity of learners.
1
Explore the use of electronic assessment tools like on
line testing, submission of projects via email or online
facilities.
2.88
Moderately High
Level of
Competence
2
Set-up online databases or repositories of student works.
2.55
Moderately High
Level of
Competence
MEAN
2.72
Moderately High
Level of
Competence
GRAND MEAN
2.98
Moderately High
Level of
Competence
Table 9 presents the level of technological-pedagogical competence of teachers at Dumaran National High
School in terms of pedagogy. The findings generally revealed a Moderately High Level of Competence in
Pedagogy with a grand mean of 2.98. This indicates that teachers at Dumaran National High School perceived
themselves as generally capable of integrating technology into their pedagogical practices.
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Among the six standards under this domain, Standard 2: Provide performance tasks that require students to locate
and analyze information and to use a variety of media to clearly communicate results obtained the highest mean
of 3.21 with verbal interpretation as Moderately High Level of Competence. The teachers at Dumaran National
High School have a High Level of Competence in using slide presentations, videos, audio, and other media in
the classroom appropriately. This suggests that teachers can use multimedia devices to enhance classroom
instruction.
Moreover, Standard 5: Use computers and other technologies to collect and communicate information to
students, colleagues, parents, and others has a mean of 3.09, while Standard 4: Evaluate usage of ICT integration
in the teaching-learning process and use results to refine the design of learning activities has a mean of 3.02.
These findings indicate that the teachers at Dumaran National High School are generally competent in using
technology for communication and instructional evaluation.
Meanwhile, Standard 6: Apply technology to facilitate a variety of appropriate assessment and evaluation
strategies, recognizing the diversity of learners, has the lowest mean of 2.72, although still interpreted as a
Moderately High Level of Competence. This suggests that teachers need to explore more in using more advanced
digital tools like setting up online databases or student works.
Furthermore, the results indicate that the Dumaran National High School teachers are generally competent in
using technology for classroom instruction. This finding supports Nurhidayat et al. (2024), Ramaila and Molwele
(2022), and Rahimi (2023), who found that technology integration supports communication, collaboration, and
problem-solving skills among learners. Moreover, Ng et al. (2023), Falloon (2020), Kiryakova and Kozhuharova
(2024), and Elsayary (2023) emphasized that teachers’ technological competence enables them to prepare
learners for digital and technological readiness.
Table 10: Summary of the Level of Technological Pedagogical Competence of Teachers at Dumaran National
High School
Technological Pedagogical Components
Grand Mean
Verbal Interpretation
Technology Operations and Concepts
3.00
Moderately High Level of
Competence
Pedagogy
2.98
Moderately High Level of
Competence
Overall Technological-Pedagogical
Competence
2.99
Moderately High Level of
Competence
Table 10 shows the summary of the level of technological pedagogical competence of teachers at Dumaran
National High School. The findings revealed that the teachers demonstrated a Moderately High Level of
Competence in both components of Technological Pedagogical Competencies. Specifically, Technology
Operations and Concepts has a grand mean of 3.00 while the Pedagogy has a grand mean of 2.98. The overall
grand mean of 2.99 indicates a Moderately High Level of Competence.
This result generally indicates that the teachers at Dumaran National High School have Moderately High Level
of Competence in terms of utilizing technological tools and integrating these technologies for classroom
instruction. The results suggest that teachers perceived themselves as capable of using technology to support
classroom instruction.
These findings of the study of Gangmei and Thomas (2025), who emphasized that teachers with strong ICT
skills improve the instructional delivery and achieve the educational standards. It is also supported by Akram et
al. (2022) and Ramaila and Molwele (2022), who stated that classroom instruction that uses technology is
generally more effective, interactive, and engaging for students. Furthermore, the findings suggest that teachers
at Dumaran National High School possess a moderately high level of self-reported competence in technology
operations and pedagogy. In the context of this school, this may provide a useful starting point for designing
targeted professional development activities. However, since the study did not measure actual classroom practice
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or student learning outcomes, the results should be interpreted as an assessment of teachers’ perceived
competence rather than direct evidence of instructional effectiveness.
Relationship between Demographic Profile and Technological-Pedagogical Competence. Table 11 through 15,
presents the discussion on the relationship between demographic profile and technological-pedagogical
competence, cross tabulations, and supplementary analysis.
Table 11: Summary of Fisher’s Exact Test Results on the Relationship between Demographic Profile and
Technological-Pedagogical Competence
Demographic Variable
Fisher’s Exact Test p-value
Decision
Age
0.128
Not Significant
Sex
0.838
Not Significant
Teaching Position
0.015
Significant
Highest Educational Attainment
1.000
Not Significant
Years in Teaching
0.054
Not Significant
Table 11 presents the Fisher’s Exact Test results on the relationship between the respondents’ demographic
profile and their technological-pedagogical competence level. The results show that age, sex, highest educational
attainment, and years in teaching were not significantly related to technological-pedagogical competence, as
their p-values were greater than the 0.05 level of significance. However, teaching position was significantly
associated with technological-pedagogical competence, p=0.015. This indicates that, among the demographic
variables considered, only teaching position showed a statistically significant relationship with teachers’
categorical competence level.
Descriptively, Teacher I respondents were more represented in the high and moderate competence categories,
while Teacher III respondents were mostly classified under moderate and low competence levels. However, this
finding should be interpreted cautiously because the study used a descriptive-correlational design. Therefore, the
result indicates association but does not establish causation.
Table 12: Teaching Position and Technological-Pedagogical Competence
Teaching Position
High
Moderate
Low
Total
Teacher I
10
14
1
25
Teacher II
1
0
1
2
Teacher III
0
4
2
6
Total
11
18
4
33
As shown in Table 12, most Teacher I respondents were classified under high or moderate competence levels,
while Teacher III respondents were mostly classified under moderate and low competence levels. This pattern
suggests that, in the present sample, teaching position was associated with differences in technological-
pedagogical competence.
However, this result should not be interpreted as evidence that teaching position alone explains competence
differences. Teaching position may be related to other factors such as age, years of teaching experience, recency
of ICT exposure, and training opportunities.
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Table 13: Cross-tabulation of Teaching Position by Age
Teaching
Position
Under
25
2530
3135
3640
4145
4650
Over 55
Total
Teacher I
1
(4.0%)
17
(68.0%)
1 (4.0%)
3 (12.0%)
3 (12.0%)
0 (0.0%)
0 (0.0%)
25
(100.0%)
Teacher II
0
(0.0%)
1 (50.0%)
0 (0.0%)
0 (0.0%)
0 (0.0%)
0 (0.0%)
1 (50.0%)
2 (100.0%)
Teacher III
0
(0.0%)
1 (16.7%)
1 (16.7%)
0 (0.0%)
1 (16.7%)
1 (16.7%)
2 (33.3%)
6 (100.0%)
Total
1
(3.0%)
19
(57.6%)
2 (6.1%)
3 (9.1%)
4 (12.1%)
1 (3.0%)
3 (9.1%)
33
(100.0%)
Note. Percentages in parentheses are row percentages. Fisher’s Exact Test showed a significant association
between teaching position and age, p=0.017
Table 14: Cross-tabulation of Teaching Position by Years in Teaching
Teaching
Position
03 years
410 years
More than 10
years
Total
Teacher I
15 (60.0%)
9 (36.0%)
1 (4.0%)
25 (100.0%)
Teacher II
0 (0.0%)
1 (50.0%)
1 (50.0%)
2 (100.0%)
Teacher III
0 (0.0%)
1 (16.7%)
5 (83.3%)
6 (100.0%)
Total
15 (45.5%)
11 (33.3%)
7 (21.2%)
33 (100.0%)
Note. Percentages in parentheses are row percentages. Fisher’s Exact Test showed a significant association
between teaching position and years in teaching, p<.001.
Table 13 and 14 were prepared to further examine the significant association between teaching position and
technological-pedagogical competence. The results show that teaching position was significantly associated with
both age and years in teaching. Most teacher I respondents were in the 25 30 age group and had 0 3 years of
teaching experience, while Teacher III respondents were more represented among older and more experienced
teachers. This suggests that the significant association between teaching position and technological-pedagogical
competence may be partly related to age, teaching experience, career stage, or recency of technology exposure.
Therefore, the teaching-position finding should be interpreted with caution and should not be understood as
teaching position alone explaining competence differences.
Table 15: Supplementary Non-parametric Test Results Using Overall Technological-Pedagogical Competence
Mean Scores
Demographic
Variable
Test Used
Test
Statistic
df
p-value
Decision
Sex
Mann-
Whitney U
U = 78.0
0.907
Not
Significant
Highest
Educational
Attainment
Mann-
Whitney U
U = 13.0
0.186
Not
Significant
Age
Kruskal-
Wallis
χ² = 15.3
6
0.018
Significant
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Teaching
Position
Kruskal-
Wallis
χ² = 6.89
2
0.032
Significant
Years in
Teaching
Kruskal-
Wallis
χ² = 10.3
2
0.006
Significant
To supplement the Fisher’s Exact Test results, non-parametric tests were conducted using the respondents’
continuous overall technological-pedagogical competence mean scores. This was done to reduce the possible
loss of information caused by converting mean scores into competence categories. Mann-Whitney U tests were
used for variables with two groups, while Kruskal-Wallis tests were used for variables with more than two
groups.
The Mann-Whitney U results showed no significant difference in overall competence mean scores according to
sex, U=78.0, p=0.907, and highest educational attainment, U=13.0, p=0.186. These findings are consistent with
the Fisher’s Exact Test results, which also showed no significant relationship for these variables.
However, the Kruskal-Wallis results showed significant differences in overall competence mean scores across
age groups, χ²(6) = 15.3, p = 0.018; teaching positions, χ²(2) = 6.89, p = 0.032; and years-in-teaching groups,
χ²(2) = 10.3, p = 0.006. The significant result for teaching position supports the Fisher’s Exact Test finding.
Meanwhile, the significant results for age and years in teaching suggest that these variables may show clearer
patterns when continuous mean scores are used rather than categorized competence levels. Nevertheless, these
results should be interpreted cautiously because some groups had very small frequencies and the sample was
limited to 33 respondents from one school.
Overall, the primary Fisher’s Exact Test results showed that only teaching position was significantly associated
with categorical technological-pedagogical competence. However, follow-up cross-tabulations showed that
teaching position was also significantly associated with age and years in teaching, suggesting that the teaching-
position result may be partly influenced by career stage and experience. The supplementary non-parametric tests
using continuous mean scores further showed significant differences by age, teaching position, and years in
teaching. These findings suggest that demographic patterns may be more visible when continuous competence
scores were used. However, because the study involved only 33 respondents from a single school and some
groups had very small frequencies, the results should be interpreted as context-specific and exploratory rather
than broadly generalizable.
Limitations of the Study
This study has several limitations. First, it was conducted in only one public secondary school; therefore, the
findings are context-specific and are not intended to be generalized to all teachers in Dumaran, Palawan,
MIMAROPA, or the Philippines. Second, the sample size was small, with only 33 teacher-respondents, although
total enumeration was appropriate because the school population was limited and accessible. Third, the study
relied on self-reported data, which may be affected by social desirability bias or respondents’ personal
perceptions of their competence. Fourth, the study used a cross-sectional design, which means that the data were
collected at one point in time and cannot show changes in competence over time. Fifth, the study did not include
classroom observations, interviews, or direct measures of technology integration in actual teaching practice.
Finally, the study did not measure ICT infrastructure, internet access, device availability, or technical support,
which may influence teachers’ ability to use technology in classroom instruction. In addition, some demographic
groups had very small frequencies, which limited the interpretation of post hoc comparisons and the stability of
some non-parametric test results.
CONCLUSION
Based on the findings of the study, the following conclusions were made:
1. The demographic profile of Dumaran National High School is generally 25 30 years old, female,
in Teacher I position, holding a Bachelor’s Degree, and having 0 3 years of teaching experience.
It indicates that the teachers at this school are generally young.
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2. The teachers demonstrated a moderately high level of self-reported technological-pedagogical
competence in both Technology Operations and Concepts and Pedagogy. This indicates that
teachers at Dumaran National High School generally perceived themselves as competent in
integrating technology into classroom instruction.
3. Despite the moderately high overall competence level, specific areas still require further
improvement, particularly the use of spreadsheets, online repositories, information and data
management, and technology-supported assessment. These areas may serve as priority topics for
school-based ICT training and professional development.
4. Based on the primary analysis using Fisher’s Exact Test, age, sex, highest educational attainment,
and years in teaching were not significantly associated with the categorical level of technological-
pedagogical competence. However, teaching position showed a significant association with
competence level.
5. The significant association between teaching position and technological-pedagogical competence
should be interpreted with caution. Follow-up cross-tabulations showed that teaching position
was also significantly associated with age and years in teaching. This suggests that the teaching-
position result may partly reflect differences in career stage, teaching experience, recency of ICT
exposure, or technology-related training rather than teaching position alone.
6. The supplementary non-parametric tests using continuous overall competence mean scores
provided additional insight. The Mann-Whitney U tests showed no significant differences in
competence scores according to sex and highest educational attainment. However, the Kruskal-
Wallis tests showed significant differences across age groups, teaching positions, and years-in-
teaching groups. These findings suggest that some demographic patterns became more visible
when continuous mean scores were used instead of categorized competence levels.
7. Since the study was conducted in a single school with 33 teacher-respondents, the findings should
be interpreted as context-specific and should not be generalized to all teachers in Dumaran,
Palawan, MIMAROPA, or the Philippines. Instead, the results may be used as a local evidence
base for planning school-level ICT training, instructional supervision, and teacher development
programs at Dumaran National High School.
RECOMMENDATIONS
Based on the findings and conclusions of the study, the following recommendations are proposed:
1. School administrators at Dumaran National High School may use the findings as a basis for designing
targeted ICT training programs, particularly on spreadsheets, digital repositories, data management, and
technology-supported assessment.
2. Since teachers demonstrated only moderately high competence in both Technology Operations and
Concepts and Pedagogy, continuous professional development may be provided to strengthen their
ability to integrate technology meaningfully in classroom instruction.
3. ICT-related training programs should be differentiated according to teachers’ needs. Since teaching
position was significantly associated with competence, administrators may consider designing training
activities for different groups of teachers. However, training plans should not be based on teaching
position alone. They should also consider age, years of teaching experience, previous ICT training, access
to technology, confidence in using digital tools, and self-identified training needs.
4. Teachers may continue enhancing their technological-pedagogical competence by participating in
seminars, workshops, peer mentoring, school-based learning action cells, and other professional
development activities related to educational technology.
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5. The school may strengthen its ICT support system by improving access to functional devices, stable
internet connectivity, technical assistance, and digital learning resources. This is important because
competence in using technology may be affected by the availability of infrastructure and support.
6. School administrators may consider conducting a local ICT needs assessment before implementing
training programs. This may help identify which teachers need support in basic technology operations,
spreadsheets, online assessment tools, digital repositories, data management, and technology-enhanced
instructional strategies.
7. Future researchers may expand the study to include other public secondary schools in Dumaran, Palawan,
or the wider MIMAROPA region to determine whether similar patterns exist across different school
contexts. Future studies may also include classroom observations, interviews, ICT infrastructure
measures, and larger samples to provide a deeper explanation of teachers’ technological-pedagogical
competence.
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