INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIV, Issue X, October 2025
www.ijltemas.in Page 403
Emotional Burnout, Digital Dependency, and their Impact on
Pedagogical Practices among Basic Education Teachers
Charmaine S. Prosia
1
, James L. Paglinawan, PhD
2
1
Department of Education, Teacher I, Minsalirac Integrated School, Quezon I District Philippines
2
Professional Education Department, Professor, Central Mindanao University, Musuan, Bukidnon, Philippines
DOI: https://doi.org/10.51583/IJLTEMAS.2025.1410000052
Received: 23 October 2025; Accepted: 29 October 2025; Published: 08 November 2025
Abstract: This study examined the influence of emotional burnout and digital dependency on pedagogical practices among basic
education teachers in public elementary and secondary schools under the Department of Education, Division of Bukidnon,
Philippines, for the academic year 2025 - 2026. Employing a quantitative research design, the study gathered data from a
representative sample of teachers working in both urban and rural communities. The research utilized descriptive statistics,
including mean, frequency distribution, percentage, and standard deviation, to summarize and interpret teachers’ responses
regarding their levels of emotional burnout, digital dependency, and pedagogical practices. Correlational and regression analyses
were likewise applied to identify the strength of relationships and determine which variable, alone or in combination, best
predicted effective teaching practices. Results revealed that teachers experience heightened emotional demands and an increasing
reliance on digital tools, both of which greatly influence their instructional strategies and learner interactions. Emotional burnout
was found to weaken teacher motivation and engagement, while digital dependency reshaped their planning, communication, and
assessment processes. Despite these challenges, teachers displayed resilience by employing adaptive approaches that sustain
effective classroom instruction. The findings emphasize the need for continuous professional development, mental health support,
and enhanced digital literacy programs that address the evolving demands of technology-driven education. These initiatives are
essential for maintaining a supportive teaching environment and ensuring that educators remain equipped to deliver quality and
meaningful learning experiences in Philippine basic education.
Keywords: Emotional Burnout, Digital Dependency, Pedagogical Practices, Basic Education Teachers
I. Introduction
Basic education in the Philippines faces mounting professional demands, exerting significant pressure on teachers and affecting
pedagogical quality (Agbayani-Pineda, 2025; Asio & Bayucca, 2021). Increasing workloads, administrative burdens, and high
classroom expectations contribute to widespread emotional burnout, an issue consistently reported in both national and
international research (Teaching Load Research Team, 2024; Skaalvik & Skaalvik, 2017). In diverse educational contexts, teacher
stress is a robust predictor of professional exhaustion and declining job satisfaction.
Persistent emotional burnout is attributed to the emotional labor inherent in teaching. Recent studies indicate that Filipino
teachers experience moderate burnout, often employing emotional regulation strategies to sustain positive interactions with
students and parents (Agbayani-Pineda, 2025). Parallel findings in the United States suggest that sustained emotional exhaustion
undermines engagement and satisfaction (Brackett et al., 2019), while research in Europe demonstrates the mitigating effects of
self-regulation and collaborative school climates (Collie et al., 2020).
Teacher resilience is vital in countering burnout and supporting motivation. Philippine-based studies emphasize the role of
supportive leadership and collegial relationships (Dela Cruz & Paglinawan, 2021), with similar patterns observed in China, where
sustained professional growth is linked to institutional support for digital adaptation (Song et al., 2022). Across Asian education
systems, self-discipline and social capital emerge as protective factors against stress and disengagement (Muñoz et al., 2023).
The increasing integration of digital instruction further transforms classroom dynamics. Filipino teachers have reported greater
reliance on digital platforms, learning management systems, and virtual communication, mirroring global trends in educational
technology (Abella, 2023; Muñoz et al., 2023). While digital literacy enhances instructional adaptation, it introduces new
stressors, notably, technical difficulties and resource disparities, which can compound fatigue and workload (Javier, 2021; Abella,
2023; Song et al., 2022). Studies from Western contexts echo these concerns, linking digital fatigue to decreased engagement and
higher absenteeism (OECD, 2019; Brackett et al., 2019).
Effective classroom management and professional development can alleviate the pressures of high student-teacher ratios.
Philippine research demonstrates that targeted training reduces stress and promotes job satisfaction, consistent with international
evidence supporting preventative support and peer collaboration (Ocampo & Paglinawan, 2023; Collie et al., 2020). Quantitative
analyses emphasize the protective roles of teacher self-efficacy, digital confidence, and social networks (Asio & Bayucca, 2021;
Song et al., 2022).
Despite substantial research on burnout and digital dependency, most studies examine these issues independently. There remains a
critical gap in understanding their interactive effects on teaching practice and well-being, both in Philippine schools and
internationally (Eastern Samar State University, 2025; Brackett et al., 2019; Song et al., 2022).
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
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This study addresses this gap by investigating the combined influence of emotional burnout and digital dependency on
pedagogical practices among Filipino teachers. The research aims to inform effective, evidence-based interventions that
strengthen teacher well-being and instructional quality. Findings will guide educational leaders and policymakers in developing
holistic strategies responsive to the intersecting challenges of the contemporary educational landscape.
II Methodology
Research Design
This study utilized the descriptive-correlational method. A descriptive correlation described the relationship among variables and
helped to determine the relationship between independent and dependent variables. The descriptive design involved the collection
of data to test the hypothesis and answer questions concerning the status to be studied. This study used survey questionnaires to
gather information.
A quantitative research approach, with a descriptive-correlational design, assessed the relationships among emotional burnout,
digital dependency, and the quality of pedagogical practices. Regression analysis was used to identify predictor variables.
Locale of the Study
The research study took place in public elementary and secondary schools under the Department of Education, Division of
Bukidnon. The province covered a land area of approximately 10,498 square kilometers and featured a mix of urban, semi-urban,
and rural communities (DepEd Bukidnon, 2025; Bukidnon DEDP, 2023). Malaybalay City, serving as the provincial capital and
administrative center, hosted major government offices and varied educational institutions. Other prominent cities and
municipalities include Valencia City, Maramag, Manolo Fortich, and Quezon, each serving as hubs for economic activity,
transport, and education.
Bukidnon’s schools were geographically dispersed, with some located in town centers while others were situated in remote
barangays, requiring creative approaches to reach and support both educators and learners (Espinosa, 2025). Many communities
were home to indigenous cultural groups such as the Higaonon, Talaandig, and Bukidnon tribes, which added diversity to the
school populations and presented unique challenges and opportunities for education administrators. Transportation was often a
challenge in upland and far-flung areas, impacting teacher deployment and resource distribution.
For school year 20252026, the Division of Bukidnon included about 650 public elementary schools and nearly 100 public
secondary schools, based on the official figures of the Department of Education (DepEd Bukidnon, 2025; Espinosa, 2025).
Additionally, there were around 46 recognized private schools in the division, many offering both elementary and secondary
education (Bukidnon DEDP, 2023). The diverse educational landscape in Bukidnon made it an ideal setting for a study exploring
how modern stressors, such as digital dependency and emotional burnout, affected teaching practices across different types of
school environments, from urbanized centers to mountainous and isolated rural communities.
Respondents of the Study
The respondents of this study were comprised of 290 basic education teachers from both elementary and secondary schools in
Quezon, Bukidnon, all under the Department of Education. These respondents were selected from a larger pool of 331 teachers
assigned across eight public schools with varied sizes and educational contexts. Inclusion criteria required that respondents had
accumulated at least one year of teaching experience, supporting the reliability of responses and the relevance of insights for
classroom practice at different grade levels.
Table 1: Distribution of the respondents of the study by the school.
School
N
n
Percent
Minsalirac Integrated School
19
17
5.86
Kibacania Elementary School
5
4
1.38
Quezon Central Elementary School
97
90
31.03
Zubiri Village Elementary School
25
18
6.21
Merangeran Integrated School
39
35
12.07
Salawagan Central Elementary School
58
43
14.83
Quezon Bukidnon Comprehensive
High School San Jose Integrated School
65
59
41
42
14.14
14.48
Total
331
290
100.0
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A stratified random sampling technique was employed to ensure adequate representation and demographic diversity within the
division. Each school’s teacher population was identified, followed by proportional allocation to determine the number of
participants per site. Within each stratum, teachers were randomly chosen to form the final sample. This approach provided broad
coverage across schools and grade levels, thereby supporting the representativeness and transferability of research findings
throughout the division. This sampling method supported the representativeness and transferability of findings. Distribution
details are presented in Table 1.
Research Instrument
A structured survey questionnaire composed of three (3) parts will be distributed to the respondents to collect the data for the
study. These are all patterned questionnaires with the different works of credible researchers. The consent of the authors to utilize
the instruments will be requested. Furthermore, pilot testing for reliability will be done.
Part 1 of the instrument will be the emotional burnout questionnaire. It was patterned to the work of Agbayani-Pineda (2025). It
consists of 4 sub-variables: emotional exhaustion, depersonalization, reduced personal accomplishment and emotional resilience
challenges. A Cronbach’s alpha coefficient of 0.79 was generated, indicating that the questionnaire obtained an acceptable level of
reliability and was considered relevant for the actual study. The scoring procedure for this instrument which is in Likert scale will
be observed as follows:
Part 2 of the instrument will be the digital dependency questionnaire. It was patterned to the work of McGarr (2024). It consists of
4 sub-variables: frequency of digital tool use, perceived necessity, digital distraction and overuse, and impact on teaching balance.
A Cronbach’s alpha coefficient of 0.83 was generated and indicates that the questionnaire possesses good internal consistency
reliability, meaning that the items are strongly correlated and consistently measure the same underlying construct. The scoring
procedure for this instrument which is in Likert scale will be observed as follows:
Part 3 of the instrument will use the Teacher Practices Questionnaire. It was patterned to the works of Perez, et.al, (2016). It
consists of 4 sub-variables: student-centered teaching, lesson planning and preparation, assessment process, and effective use of
technology in instruction. A Cronbach’s Alpha value of 0.78 indicates that the questionnaire has an acceptable level of internal
consistency and is reliable in measuring the same underlying construct. The scoring procedure for this instrument which is in
Likert scale will be observed as follows:
Gathering Procedure
In gathering the necessary data, the researcher sought permission to conduct a pilot test of the questionnaires to establish their
reliability and validity. The pilot testing was conducted at the Department of Education (DepEd) Division of Valencia City.
Results from the pilot test were analyzed and computed using the Statistical Package for the Social Sciences (SPSS) to determine
the internal consistency and reliability of the instrument.
After final validation, the general administration of the questionnaire was conducted within the Department of Education Division
of Bukidnon, particularly in Quezon I District, Quezon, Bukidnon. Upon approval, the researcher distributed invitation letters to
the participants. Each letter contained information about the purpose of the study and the nature of participation. Respondents
were provided with an informed consent form prior to survey administration. The signed consent indicated their voluntary
participation in the study, their agreement to provide truthful responses, and their understanding that they could withdraw at any
time for valid reasons.
Numerical
Scale
Range
Descriptive Rating
Qualitative Interpretation
1.00-1.50
Strongly Disagree
No Emotional Burnout
1.51-2.50
Disagree
Less Emotional Burnout
2.51-3.50
Undecided
Moderate Emotional Burnout
3.51-4.50
Agree
High Emotional Burnout
4.51-5.00
Strongly Agree
Very High Emotional Burnout
Numerical
Scale
Range
Descriptive Rating
Qualitative Interpretation
1
1.00-1.50
Never
Complete avoidance of Digital Tool
2
1.51-2.50
Rarely
Minimal use of Digital Tool
3
2.51-3.50
Sometimes
Moderate use of Digital Tool
4
3.51-4.50
Often
Frequent use of Digital Tool
5
4.51-5.00
Always
Constant use of Digital Tool
Numerical
Scale
Range
Descriptive Rating
Qualitative Interpretation
1
1.00-1.50
Strongly Disagree
Strong denial of Pedagogical practice
2
1.51-2.50
Disagree
Moderate resistance of Pedagogical Practice
3
2.51-3.50
Undecided
Indecisive view of Pedagogical Practice
4
3.51-4.50
Agree
Positive agreement on Pedagogical Practice
5
4.51-5.00
Strongly Agree
Full alignment of Pedagogical Practice
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Ethical Consideration
The study complied with established ethical standards in educational research, ensuring the protection of participants’ rights and
confidentiality. A total of 290 basic education teachers voluntarily participated in the study after receiving an invitation letter that
outlined its purpose, procedures, and expected participation. Before data collection, informed consent forms were distributed,
explaining that participation was voluntary and that respondents could withdraw at any point without any penalty.
To preserve anonymity, participants were instructed not to write their names or any identifying marks on the questionnaires. After
accomplishing the survey, each respondent enclosed the completed instrument in a provided envelope and placed it in a secured
drop box designated by the researcher within each participating school. Only the researcher retrieved the boxes to maintain
control and confidentiality of the gathered data.
No incentives or material rewards were provided to the respondents to avoid coercion or bias in responses. All information
collected was treated with strict confidentiality and used solely for academic and research purposes. Ethical principles of respect,
transparency, and voluntary participation guided every stage of the study, ensuring adherence to institutional and professional
research standards.
Statistical Technique
The researcher statistically analyzed the data responses according to the requirements of the study. Descriptive statistics such as
mean, percentage, and standard deviation were utilized to answer research questions 1, 2, and 3, which measured the levels of
emotional burnout, digital dependency, and pedagogical practices among basic education teachers. These descriptive measures
provided a clear summary of the general tendencies and variations in the responses collected.
For research question 4, the researcher used the Pearson Product Moment Correlation Coefficient at a 0.05 level of significance to
determine the relationship between emotional burnout, digital dependency, and the quality of pedagogical practices of basic
education teachers. This analysis identified whether significant correlations existed among the main variables of the study.
Furthermore, for research question 5, regression analysis was employed to determine which variables best predicted the
pedagogical practices of the teachers. The regression analysis aimed to establish an equation of a line that best fit the data points
with the smallest possible deviations, thereby identifying the most influential predictors of pedagogical effectiveness.
III Results and Discussion
This section presents the results of the data gathered from the conduct of the study regarding the emotional burnout, digital
dependency, and their impact on the quality of the pedagogical practices of the basic education teachers. The presentation of
results was organized based on the arrangement of the problems identified in the study.
The results in Table 2 show that the basic education teachers manifested a high level of emotional burnout, as evidenced by the
overall mean of 3.91 with a descriptive rating of Agree. Among the indicators, emotional exhaustion (M = 4.06) gained the
highest mean, reflecting that teachers frequently experience feelings of fatigue, strain, and mental depletion due to prolonged
workload and job demands. This was followed by depersonalization (M = 4.02), signifying that teachers may develop emotional
detachment and reduced empathy toward students as a coping mechanism against chronic stress. The indicators emotional
resilience challenges (M = 3.79) and reduced personal accomplishment (M = 3.76) also showed high ratings, suggesting that
many teachers struggle to remain motivated and to sustain a sense of efficacy in their teaching roles. Overall, these results depict
that the respondents often experience a pattern of exhaustion, depersonalization, and low self-fulfillment, key dimensions
commonly associated with emotional burnout.
These findings are consistent with research showing that burnout among educators is an increasing concern in the teaching
profession. A study by Wang (2024) emphasized that emotional exhaustion and depersonalization are the most prevalent
dimensions of teacher burnout, primarily triggered by workload overload and emotional demands within classroom environments.
Table 2: Summary of Emotional Burnout of Basic Education Teacher
INDICATORS
Mean
Descriptive Rating
Qualitative Interpretation
Emotional Exhaustion
4.06
Agree
High Emotional Burnout
Depersonalization
4.02
Agree
High Emotional Burnout
Emotional Resilience Challenges
3.79
Agree
High Emotional Burnout
Reduced Personal Accomplishment
3.76
Agree
High Emotional Burnout
Total
3.91
Agree
High Emotional Burnout
Legend:
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Score
Range
Descriptive Rating
Qualitative Interpretation
1
1.00-1.50
Strongly Disagree
No Emotional Burnout
2
1.51-2.50
Disagree
Less Emotional Burnout
3
2.51-3.50
Undecided
Moderate Emotional Burnout
4
3.51-4.50
Agree
High Emotional Burnout
5
4.51-5.00
Strongly Agree
Very High Emotional Burnout
Likewise, Teles (2020) found that emotional exhaustion and depersonalization are directly proportional to the levels of perceived
stress a teacher experiences, while a low sense of personal accomplishment tends to appear when teachers feel unappreciated and
unsupported in their work settings. The consistency of these findings with the current study affirms that emotional exhaustion and
diminished resilience significantly undermine teachers’ motivation, job satisfaction, and commitment to effective teaching,
thereby highlighting the urgent need for professional well-being strategies, workload adjustments, and institutional support
systems in the Department of Education context.
Table 3 reveal that the basic education teachers “often” use digital devices in their professional routines, as reflected by the
overall mean of 4.01, interpreted as frequent use of digital tools. Among the indicators, the perceived necessity of digital tools (M
= 4.02) and impact on pedagogical balance (M = 4.02) obtained the highest means, showing that teachers consistently integrate
technology into lesson planning, instruction, and assessment tasks. Likewise, the indicators frequency of digital use (M = 4.01)
and digital distraction (M = 4.01) indicate that technology is both an essential and competing factor in their work performance.
This suggests that while teachers heavily rely on digital platforms for educational delivery, such dependence occasionally disrupts
focus and instructional rhythm. Overall, these findings reflect that basic education teachers maintain a high level of digital
engagement, positioning digital tools as vital yet potentially distracting elements of their daily teaching practice.
Table 3: Summary of Digital Dependency of Basic Education Teachers
INDICATORS
Mean
Descriptive Rating
Qualitative Interpretation
Perceived Necessity of Digital Tools
Impact on Pedagogical Balance
Frequency of Digital Use
4.02
4.02
4.01
Often
Often
Often
Frequent use of digital tool
Frequent use of digital tool
Frequent use of digital tool
Digital Distraction
4.01
Often
Frequent use of Digital Tool
Total
4.01
Often
Frequent use of Digital Tool
Legend:
Score
Range
Descriptive Rating
Qualitative Interpretation
1
1.00-1.50
Never
Complete avoidance of Digital Tool
2
1.51-2.50
Rarely
Minimal use of Digital Tool
3
2.51-3.50
Sometimes
Moderate use of Digital Tool
4
3.51-4.50
Often
Frequent use of Digital Tool
5
4.51-5.00
Always
Constant use of Digital Tool
This result supports prior research emphasizing digital dependency as a growing phenomenon in modern education. A 2024 study
by He and Chen found that over half of teachers spend more than four hours daily online for school-related tasks, significantly
increasing the risk of digital overuse and behavioral dependency. Similarly, Şan (2025) observed that excessive digital interaction
among pre-service teachers contributed to decreased cognitive control, reduced productivity, and higher tendencies toward task
distraction when digital engagement exceeded academic necessity. In line with these studies, the current findings indicate that
while digital use enhances instructional access and flexibility, its frequent and prolonged usage may lead to dependency and
distraction if not managed through digital balance strategies and institutional support systems. Hence, fostering digital well-being
among teachers remains essential to ensuring effective technology integration without compromising focus, productivity, and
overall mental health.
Meanwhile, table 4 indicate that basic education teachers demonstrated a high level of pedagogical practice, with an overall mean
of 4.47, described as Agree” and interpreted as positive agreement on pedagogical practice. Among the indicators, student-
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centered teaching obtained the highest mean of 4.50, signifying that teachers prioritize instructional approaches that focus on
student engagement, collaboration, and active participation.
Similarly, assessment process (M = 4.47), use of technological resources (M = 4.46), and teaching planning and preparation (M =
4.44) were all rated high, reflecting that teachers are consistent in designing well-prepared learning plans, using technology
effectively, and maintaining meaningful assessment practices. Collectively, these results show that the teachers’ pedagogical
approaches are aligned with contemporary teaching standards that emphasize learner-centered strategies and the effective
integration of technology in instruction to enhance student learning outcomes.
Table 4: Summary of Pedagogical Practice of the Basic Education Teachers
INDICATORS
Mean
Descriptive Rating
Qualitative Interpretation
Student-Centered Teaching
4.50
Agree
Positive agreement on Pedagogical Practice
Assessment Process
Use of Technological Resources
Teaching Planning and Preparation
4.47
4.46
4.44
Agree
Agree
Agree
Positive agreement on Pedagogical Practice
Positive agreement on Pedagogical Practice
Positive agreement on Pedagogical Practice
Total
4.47
Agree
Positive agreement on Pedagogical Practice
Legend:
Score
Range
Descriptive Rating
Qualitative Interpretation
1
1.00-1.50
Strongly Disagree
Strong denial of Pedagogical practice
2
1.51-2.50
Disagree
Moderate resistance of Pedagogical Practice
3
2.51-3.50
Undecided
Indecisive view of Pedagogical Practice
4
3.51-4.50
Agree
Positive agreement on Pedagogical Practice
5
4.51-5.00
Strongly Agree
Full alignment of Pedagogical Practice
Table 4, indicate that basic education teachers demonstrated a high level of pedagogical practice, with an overall mean of 4.47,
described as “Agree” and interpreted as positive agreement on pedagogical practice. Among the indicators, student-centered
teaching obtained the highest mean of 4.50, signifying that teachers prioritize instructional approaches that focus on student
engagement, collaboration, and active participation. Similarly, assessment process (M = 4.47), use of technological resources (M
= 4.46), and teaching planning and preparation (M = 4.44) were all rated high, reflecting that teachers are consistent in designing
well-prepared learning plans, using technology effectively, and maintaining meaningful assessment practices. Collectively, these
results show that the teachers’ pedagogical approaches are aligned with contemporary teaching standards that emphasize learner-
centered strategies and the effective integration of technology in instruction to enhance student learning outcomes.
These results are supported by existing studies underscoring the effectiveness of student-centered methods in improving teaching
performance and learner motivation. A study by Third Space Learning (2025) emphasized that teachers who adopt student-
centered strategies, such as project-based and inquiry-driven learning, demonstrate higher student engagement and deeper
learning outcomes because lessons become more participatory and meaningful. Similarly, Marymount University (2025) found
that fostering student autonomy, differentiated instruction, and collaborative learning enhances teachers’ instructional efficacy and
adaptability to diverse learning contexts. The findings of the current study, therefore, affirm that well-prepared, technology-
integrated, and student-focused teaching practices are hallmarks of effective pedagogy. They not only promote academic
achievement but also strengthen teachers’ confidence and professional competence in delivering high-quality education.
The data in Table 5 present the results of the correlation analysis between Emotional Burnout, Digital Dependency, and the
Pedagogical Practice of Basic Education Teachers. The findings revealed several significant relationships, highlighting the
interplay between teachers’ emotional states, technological engagement, and teaching effectiveness. For emotional burnout
indicators, emotional exhaustion (r = .134, p = .034) and depersonalization (r = .186, p = .003) showed positive and significant
correlations with pedagogical practices, suggesting that teachers who often experience emotional fatigue or detachment still
maintain consistent teaching engagement, possibly due to professional commitment. Meanwhile, reduced personal
accomplishment (r = .111, p = .084) exhibited an insignificant yet positive relationship, indicating that despite feelings of
inadequacy, teachers continue striving to fulfill their instructional duties.
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Table 5: Correlation Analysis of Emotional Burnout and Digital Dependency to the Pedagogical Practice of Basic Education
Teachers
Pedagogical Practice of Basic Education Teachers
Pearson Correlation
Sig. (2-tailed)
Emotional Burnout
Emotional Exhaustion
Reduced Personal Accomplishment
Depersonalization
Emotional Resilience Challenges
Digital Dependency
Perceived Necessity of Digital Use
Frequency of Digital Tool Use
Digital Distraction and Overuse
.134
. 111
.186
.153
.179
.144
.156
.034*
.084*
.003**
.015*
.005**
.023*
.014**
Pedagogical Practices
Impact on Pedagogical Balance
Teaching Planning and Preparation
Use of Tech Resources
.111
.161
.143
.081*
.011**
.028**
**p<0.01 *p<0.05 ns= Not Significant
Similarly, emotional resilience challenges (r = .153, p = .015) demonstrated a mild but significant correlation, implying that
teachers who face emotional struggles may channel these experiences into improving instruction through adaptive coping
strategies. On digital dependency, all indicators showed significant positive correlations: perceived necessity of digital use (r =
.179, p = .005), frequency of digital tool use (r = .144, p = .023), and digital distraction and overuse (r = .156, p = .014). These
results reflect that teachers’ frequent use of technology strongly contributes to their teaching practices, though it may also expose
them to higher levels of techno-stress and digital fatigue.
These findings are consistent with previous research emphasizing the intertwined impact of burnout and digital dependency
among educators. A 2025 study by Ibrahim revealed that high digital exposure among teachers and students significantly
contributes to emotional fatigue, impairing focus and psychological well-being, yet also enhances instructional performance when
managed effectively. Similarly, Koelle (2024) found that excessive student smartphone and social media use, while contributing
to teacher stress, prompted educators to integrate technology constructively to maintain engagement and instructional control.
The present study reinforces these perspectives, showing that digital tools, while sources of stress, remain essential to sustaining
modern pedagogy. The positive correlations between emotional burnout dimensions and pedagogical practice further support the
idea that teachers’ resilience and professional identity enable them to transform emotional and digital challenges into
opportunities for adaptive and innovative teaching. These insights highlight the importance of institutional well-being programs,
digital literacy training, and psychosocial support systems to maintain teachers’ pedagogical competence amidst evolving
technological and emotional demands.
Multiple regression generally shows this study to explain, model and examine the relationship between independent variables and
dependent variables.
Table 6: Multiple Regression Analysis
INDICATORS
Unstandardized
Coefficient B
Std. Error
Standardized
Coefficient B
t
Sig.
(Constant) Digital Dependency
3.898
.382
10.206
.000
Digital Distraction and Overuse
.148
.039
.209
4.130
.004
Perceived Necessity of Digital Use
.178
.057
.182
3.114
.002
R = 0.28
R
2
=0.08
F= 11.73 Sig. 0.001
Overall, the model produced an R value of 0.28, revealing a small but meaningful positive relationship between the predictors and
teachers’ technology use. The R
2
was found to be 0.08, indicating that digital distraction and overuse together with perceived
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necessity of digital use explain 8% of the variance in the dependent variable. The regression model was statistically significant, as
evidenced by an F statistic of 11.73 and a p-value less than .001.
Table 6 shows the variables that best predict the pedagogical practice of the basic education teachers of Quezon I District.
Predictor variables in this study include the digital distraction and overuse and perceived necessity of digital use both under the
variable digital dependency. Among the twelve (12) indicators, only two (2) of which were found to be the predictors to the
pedagogical practice of the basic education teachers. Based on the analysis, digital distraction and overuse emerged as the
stronger predictor (B = 0.148, Beta = .209, t = 4.130, p = .004).
This suggests that, as teachers experience higher levels of digital distraction, their utilization of technological resources increases
significantly, possibly due to greater exposure and familiarity with digital platforms and tools. Perceived necessity of digital use
(B = 0.178, Beta = .182, t = 3.114, p = .002) likewise displayed a significant positive effect on technology use, indicating that
teachers who recognize the importance of digital tools tend to make greater use of technology in their classrooms.
The R
2
or degree of multiple determination of the regression process is 0.08 or 8%, signifying the variance in pedagogical
practice which can be attributed to the combination of the following factors: digital distraction and overuse, and perceived
necessity of digital use. Meanwhile, the 92% of variance can be attributed to other factors excluded from the regression model.
The useful equation in predicting the percentage of the variable pedagogical practice of the basic education teachers (Y) as
indicated by F=value (11.73) with its corresponding probability of (0.001) is significant in meaning. The formula of the
regression model in the study is predicted below.
Where:
Y = Pedagogical practice
X1= Digital distraction and overuse (Digital Dependency)
X2= Perceived necessity of digital use (Digital Dependency)
This regression analysis underscores that both digital distraction and perceived necessity are significant predictors of teachers’ use
of technological resources, with digital distraction and overuse proving to be the best predictor in this context. Thus, this study
rejects the null hypothesis, there is no variable that best predicts pedagogical practices of the basic education teachers. The
findings stress the need for balanced digital professional development among teachers, focusing on maximizing the benefits of
technology while limiting its potential drawbacks.
These findings are supported by recent studies in the literature. He and Chen (2024) highlight that digital dependency, in both its
overt behavioral and attitudinal forms, is a major driver of technology adoption among educators. Similarly, Ibrahim (2025)
demonstrates that digital overuse not only increases technology-driven burnout risks but also stimulates teachers’ engagement
with digital instruction, underscoring the double-edged nature of digital exposure in educational contexts.
IV Conclusion and Recommendations
Findings
The study determined that emotional burnout among basic education teachers in Quezon, Bukidnon, Northern Mindanao is at a
high level. Specifically, the mean score for emotional exhaustion was 4.06, while depersonalization registered a mean of 4.02.
Both indicators received the descriptive ratingAgree,” and qualitative interpretation as “High Emotional Burnout.” These values
indicate that teachers frequently face intense professional pressures, emotional fatigue, and detachment, with scores typically
above the 4.00 threshold, demonstrating that this concern is widespread and acute within the population studied.
Digital dependency also exhibited high prevalence across all measured dimensions. The mean for perceived necessity of digital
tools was 4.02, impact on pedagogical balance was 4.02, and frequency of digital use was 4.01.
All were rated Often” and interpreted as “High Digital Dependency.This shows that teachers not only believe technology is
essential for teaching but also use digital resources regularly, managing lessons, assessments, and instructional planning with
consistent digital engagement. Such high frequency underlines the shift toward technology-centric educational practice as integral
to classroom routines.
Pedagogical practices among teachers were similarly robust and positive, with student-centered teaching achieving a mean score
of 4.50, the highest of all instructional indicators. The assessment process and use of technological resources scored above 4.00 as
well. These were rated “Agree” and “Positive Agreement on Pedagogical Practice.” The values reveal that teachers maintain
effective, learner-focused strategies and strong assessment methods regardless of external emotional and digital demands,
confirming their commitment to high-quality instruction and student engagement.
Correlation analyses provided further insights into the relationships among the study variables. Emotional burnout indicators like
emotional exhaustion and depersonalization correlated positively with pedagogical practice (r=.134, p=.034), as did digital
distraction (r=.186, p=.003) and perceived necessity (r=.179, p=.005). These statistically significant associations indicate that
higher scores in emotional burnout and digital dependency are linked with increased levels of innovative and effective teaching
practices, suggesting that stress and digital engagement sometimes act as motivation and catalyst for teacher adaptation.
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIV, Issue X, October 2025
www.ijltemas.in Page 411
Regression analysis confirmed that digital distraction and overuse (B=.148, standardized beta = .209, t = 4.130, p=.004) and
perceived necessity of digital use B=.178, beta = .182, t=3.114, p=.002) are significant predictors of the use of technological
resources. The regression model captured and R2 of .08, signifying that 8% of variance in pedagogical practice can be attributed
to these two digital dependency factors, with the overall model being highly significant (F=11.73, p=.001). Among the predictors,
digital distraction and overuse emerged as the strongest, reflecting the substantial impact of digital environments on classroom
technology integration.
Conclusions
Based on the findings of this study, the following conclusions were made.
The study concludes that emotional burnout among basic education teachers in the sampled schools is at a high level. Based on
indicators such as emotional exhaustion and depersonalization, the teachers generally agree with statements corresponding to
burnout symptoms, signifying that emotional fatigue is a prevalent professional challenge. These findings indicate a need for
proactive support systems to maintain and improve teacher well-being.
The extent of digital dependency among teachers is also high, as shown by qualitative and descriptive ratings indicating frequent
and regular use of digital tools. Teachers “often” perceive digital resources as necessary and engage frequently in digital
activities, both for classroom management and lesson delivery. This result suggests that technology has become an indispensable
part of modern educational practice, with teachers actively integrating digital resources into their daily routines.
Regarding pedagogical practice, basic education teachers demonstrate a robust and positive approach, maintaining effective
instructional strategies despite emotional and digital challenges. High mean scores and positive agreement ratings on pedagogical
indicators such as student-centered teaching and assessment affirm that teachers continue to uphold instructional quality and
engagement. This supports the notion that professional commitment persists even in demanding work environments.
The correlation analyses confirmed significant positive associations between emotional burnout, digital dependency, and
pedagogical practice. Specifically, digital distraction, perceived necessity of digital use, and elements of emotional burnout were
shown to correlate with stronger engagement in pedagogical activities. Therefore, both emotional and technological factors
influence teachers’ professional behaviors, sometimes acting as motivators for innovation and adaptation.
The regression analysis identified digital distraction and overuse, as well as perceived necessity of digital use, as significant
predictors of technology integration in teaching. The regression model explained 8% of variance in pedagogical practice, with
digital distraction and overuse being the stronger predictor. This suggests that teachers’ habits and attitudes toward technology are
major determinants of how effectively they utilize digital resources in the classroom. These results emphasize the need for
ongoing training and support that not only addresses risk factors like distraction but also reinforces positive perceptions of
technology in education.
Recommendations
Based on the findings and conclusions, the following recommendations are suggested:
For teachers showing high levels of digital distraction and overuse, schools should provide targeted support and professional
development in digital literacy and healthy technology habits. Training should help teachers manage digital overload while
harnessing digital tools effectively for instruction.
Ongoing workshops and learning communities must be provided to enhance teachers perceived necessity of digital use. Sharing
success stories and practical applications of technology in teaching can reinforce positive attitudes and increase motivation to use
educational technology.
School administrators should routinely assess technology-related needs and barriers among basic education teachers. Additional
investment in digital infrastructure, resource access, and context-specific support will help bridge the gap between technical
potential and real-world usage.
The Department of Education should include modules on balanced digital engagement in its teacher continuing education
programs, emphasizing both the benefits and risks associated with technology use. National standards and guidelines on
responsible tech integration should be communicated widely.
Future research should expand the scope to include other determinants such as school policy, socioeconomic status, curriculum
demands, and teacher well-being measures. Longitudinal studies will help clarify how digital dependency factors and teacher
attitudes affect technology use and pedagogical improvement over time.
Acknowledgement
I would like to sincerely thank the Department of Education, Division of Bukidnon, for their invaluable support and cooperation
throughout this research endeavor. My appreciation also extends to the dedicated teachers who participated in the study and
generously shared their insights and experiences. I am deeply grateful to my mentor and subject professor, James L. Paglinawan,
PhD, for his unwavering guidance and remarkable generosity in sharing insightful and up-to-date trends in education. I also thank
my colleagues and loved ones for their unfailing support and encouragement throughout the completion of this manuscript.
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIV, Issue X, October 2025
www.ijltemas.in Page 412
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