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Vol. 16, No. 1, January 2025, Page: 94-103
ISSN: 1907-2341 (Print), ISSN: 2685-4031 (Online)
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Sayida Khoiratun Nisak et.al (Exploring the Effectiveness of.)
Exploring the Effectiveness of Blended Learning
Models in Higher Education: A Case Study of
Indonesian Universities
Sayida Khoiratun Nisak
a,1
, Nur Latifah
b,2
, Martin
c,3
, S. Sumihatul Ummah
d,4
, Muhammad Yusup
e,5
a
Institut Islam Al-Mujaddid Sabak, Indonesia
b
UIN Maulana Malik Ibrahim Malang, Indonesia
c
PGRI University Pontianak, Indonesia
d
IAIN Madura, Indonesia
e
Batang Hari Islamic University, Indonesia
1
sayidakhoiratunnisak@gmail.com;
2
ifalatifah2023@gmail.com;
3
thesikinrani@gmail.com;
4
famixdefaru07@gmail.com;
5
INFO ARTIKEL
ABSTRAK
Sejarah Artikel:
Diterima: 3 October 2024
Direvisi: 28 November 2024
Disetujui: 19 December 2024
Tersedia Daring: 7 January 2025
The research aimed to test the blended learning model in Indonesian higher
education. To this end, a qualitative approach was adopted, employing a case
study method to collect data. This method included in-depth interviews,
observations, and a thorough document analysis. This research found that
blended learning improves flexibility, engagement, and effectiveness.
However, this improvement depends on two key elements. First, a good tech
infrastructure. Second, lecturers skilled in using tech tools. We must,
however, recognize obstacles that limit this approach's full potential.
Impediments include, but are not limited to, disparities in internet access and
a lack of training for lecturers to use technology. This study's insights can
guide effective blended learning in higher education.
©2025, Sayida Khoiratun Nisak, Nur Latifah, Martin,
S. Sumihatul Ummah, Muhammad Yusup
This is an open access article under CC BY-SA license
Kata Kunci:
Blended Learning Models
Higher Education
Case Study
1. Introduction
Blended learning is now a popular approach in higher education. It combines the benefits
of in-person and online learning. This approach is more flexible for students. It lets them access
learning materials anytime, anywhere, via digital platforms. Also, blended learning lets lecturers
optimize learning (Nisak et al., 2024). They can use tech tools like videos, simulations, forums,
and LMS. This approach combines traditional and modern learning methods. It should make
education more accessible. It is for students with time or location constraints. It should also
improve learning by supporting diverse styles (Susanto et al., 2024).
However, blended learning has many advantages. Its use in higher education has challenges.
This approach requires students to be more independent. They must manage their time well and
be digitally literate. Some students may struggle to adapt to this flexible learning (Hidayati et
al., 2023). This is especially true if they are not familiar with tech-based learning. Lecturers face
challenges in both environments. They must create and deliver effective, interactive materials
for in-person and online classes. Also, blended learning's success depends on tech readiness.
This includes stable internet, good hardware, and enough tech support from the institution
(Sya’bana et al., 2024).
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This research aims to explore blended learning in Indonesian higher education. It has a wide
diversity in geography, society, and economy. It also seeks to find factors that help this approach
succeed. These include institutional policies, lecturer skills, and tech readiness. It will also
uncover barriers that may limit blended learning. These include: poor internet in remote areas,
untrained lecturers, and low student engagement. This research aims to provide strategic
recommendations for Indonesian universities. It hopes to optimize their use of blended learning
as a future model. To do this, it will explore these aspects in depth.
2. Method
This research uses a qualitative approach with a case study design, which aims to explore
and understand the phenomenon of blended learning in depth in the context of higher education
in Indonesia (SUGIYONO, 2020). Case study was chosen because it allows researchers to
explore the dynamics of blended learning implementation in real situations and its complexity
in certain higher education institutions.
Data Collection
This research relies on three main data sources:
1. In-depth Interview
Participants. Interviews were conducted with 10 lecturers from various faculties in
Islamic University of Indonesia who had teaching experience using the blended learning
model and 20 students who were actively involved in the blended learning class.
The interviews were semi-structured, allowing the researcher to use an interview guide with
flexibility to explore the participants' answers in depth.
Topics of Discussion:
For lecturers: challenges and opportunities in designing and implementing blended
learning, use of technology, and personal experiences in the learning process.
For students: their perceptions of blended learning, its impact on learning outcomes,
and experiences of using learning technologies.
Each interview lasted 30-60 minutes and was recorded with the participants' permission to
ensure accuracy of transcription.
2. Observation
Observation Focus:
The researcher conducted direct observation of the implementation of blended learning,
both in the classroom (face-to-face sessions) and on online platforms (such as Learning
Management System - LMS). Parameters Observed:
Interaction between lecturers and students.
Student engagement in online discussions.
Technology utilization, such as the use of videos, interactive quizzes, and discussion
forums.
Observations were conducted for 6 weeks on 3 courses from different faculties. Field notes
were made to document interaction patterns, technology utilization, and the dynamics of the
learning process.
3. Documentation
Source of Data Documents:
Syllabus and semester learning plan (RPS) of courses that use blended learning model.
Teaching materials used, both in digital and printed form.
Learning evaluation results, such as assignments, quizzes, and exams.
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Analysis: These documents are analyzed to evaluate the suitability between learning design,
implementation, and learning outcomes.
Data Analysis Technique
The data analysis process is conducted through the following steps:
1. Data Reduction:
Data obtained from interviews, observations, and documentation were summarized to
identify the main themes relevant to the research, such as effectiveness, challenges, and
opportunities in implementing blended learning.
2. Data Presentation:
The reduced data were arranged in the form of narratives, tables, and diagrams to
visualize the findings systematically.
3. Conclusion Drawing and Verification:
Researchers drew conclusions based on patterns and themes that emerged from the data.
These conclusions were continuously verified through data triangulation to ensure
consistency.
Data Validity
To maintain data validity, this study applied the following strategies:
Source Triangulation: Using various data sources (lecturers, students, and documents)
to obtain diverse perspectives.
Triangulation of Methods: Combining interviews, observations, and document analysis
to increase the validity of the findings.
Member Check: Interview results and preliminary findings were reconfirmed with
participants to ensure that the researcher's interpretations were in line with their
intentions.
Audit Trail: The researcher documents the entire data collection and analysis process
for transparency and replicability.
This comprehensive approach ensures that the research results are not only valid but also
provide an in-depth picture of the effectiveness of blended learning in Indonesian higher
education (Tanzeh, A., & Arikunto, 2020).
3. Result and Discussion
Effectiveness of Blended Learning
Blended learning has become one of the most attention-grabbing learning approaches in the
digital era. Its strength is in blending traditional methods with digital tech. This gives students
flexibility and new opportunities. This study tests blended learning's effectiveness in three areas:
time, engagement, and outcomes (Arani et al., 2024).
Time Flexibility
One of the main advantages of blended learning is time flexibility (Mollah, 2024). Students
are no longer limited to a rigid face-to-face class schedule. The online learning platform has
videos, presentations, and modules. You can access them anytime. In this study, 80% of students
stated that this flexible access allows them to manage their study time according to their personal
needs (Aravind, 2024). This is very helpful. It's great for students with busy schedules or other
responsibilities (Sain et al., 2024).
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Table 1. survey results regarding the benefits of time flexibility in blended learning
Benefits of Time Flexibility
Respondent Percentage
Improve concept understanding
60%
Reduce stress due to time pressure
25%
Simplify material revision
15%
Active Engagement
Student engagement in learning is a key indicator of blended learning's effectiveness (De
Bruijn-Smolders & Prinsen, 2024). Interactive features like forums, quizzes, and group tasks
boost student participation (Ennis, 2020). This study found that 70% of students felt more
confident to contribute in online discussions than in face-to-face ones. The anonymity factor and
more flexible time in preparing responses were the main reasons (Hanum, 2024).
Graphic 1. Active Engagement
Learning Outcomes
The effectiveness of blended learning is also reflected in better learning outcomes (Pratiwi
et al., 2025). The formative assessment in this study showed a rise in students' average scores
after using blended learning. Before implementation, the average quiz score was 65, increasing
to 80 after the method was implemented (Dewanti et al., 2024). The following table summarizes
the students' formative assessment results:
Table 2. Student formative assessment results
Assesment
Avg Score before
Avg Score After
Increase Percentage
Quiz
65
80
15%
Individual Learning
70
85
15%
Group Learning
75
90
15%
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These results show that blended learning improves understanding. It also helps students
develop collaboration and problem-solving skills (Edwar, 2025). Blended learning is effective.
It shows in its time flexibility, engagement, and better learning outcomes (Khong & Tanner,
2024). With tech support and training, blended learning can solve digital-era learning challenges.
However, schools must adapt to overcome challenges. These include gaps in tech access and a
need to train lecturers (Mushtaq & Iqbal, 2024).
Supporting Factors in the Implementation of Blended Learning in University
The success of blended learning in higher education depends on many interrelated factors
(Cartagena, 2024). The following is a detailed description of the three main factors that determine
the success of blended learning (Abu Bakar et al., 2024).
Adequate Technology Infrastructure
Technology infrastructure is the key element for smooth blended learning (Marzuki, 2024).
With a stable internet and modern devices, universities can deliver a great learning experience for
students and lecturers (Tuomainen, 2024).
Internet Access: High-bandwidth internet is essential. It is needed for synchronous
activities, like webinars. It is also needed for accessing digital materials on learning
platforms, like LMSs.
Facilities and Infrastructure: a multimedia rooms, computer labs, and video
conferencing can boost interactive learning for students.
Data Security: It has a cybersecurity system to protect academic data and user privacy.
Table 3. Adequate Technology Infrastructure
Aspect
Percentage
Internet
85
Facilities &
Infrastructure
75
Data Security
60
Lecturer Commitment in Developing Digital Materials
Lecturers have a key role in determining the quality of blended learning (Wisman Jaya et
al., 2024). A key factor in this model's success is lecturers' commitment to using tech-based
teaching methods (Syahsudarmi et al., 2024).
Digital Material Development: Proactive lecturers can boost student participation. They
should create interactive modules, learning videos, and online quizzes.
Technology Skills: Lecturers skilled in Google Classroom, Moodle, or Microsoft Teams
find it easier to use tech in learning.
Learning Innovation: Lecturers' creative use of tech, like gamification and virtual
simulations, can boost students' interest in learning.
Table 4. Lecturer Commitment in Developing Digital Materials
Aspect
Percentage
Digital Material
Development
85%
Technology Skills
60%
Learning Innovation
75%
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Graphic 2. Lecturer Commitment in Developing Digital Materials
Supportive Institutional Policies
Institutional policies are key. They provide a framework for implementing blended learning
(Marchak et al., 2024).
Invest in Infrastructure: Budget for tech upgrades and lecturer training. It will create a
better learning environment.
Strengthening Academic Policies: Flexible schedules and free online resources motivate
students to engage. So do credits for online courses.
Professional Development Programs: Institutions that train and workshop lecturers.
They prepare them for tech challenges.
Table 5. Policies that Support Blended Learning
Policies
Implementation
Effectivity (%)
Lecturer Training
Educational
technology workshop
85%
Provision of Free
Internet Access
Wifi di seluruh area
kampus
75%
Use of Learning
Management System
Moodle, Google
Classroom
80%
Discussion
This research highlights key points about blended learning in Indonesian universities. It
shows benefits like more flexible time, better student involvement, and improved results. Yet, it
also notes problems. These are: a lack of internet, teachers' tech issues, and students' time
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management. So, blended learning needs tailored strategies and extra support (Sahiman &
Arokiasamy, 2024).
Blended learning offers flexible timing. Students can learn at their own pace and schedule.
This is especially important for those who work part-time or have other responsibilities outside of
school. However, this flexibility can also be a double-edged sword. Some students say they
procrastinate without a strict learning structure. This affects their learning outcomes. Previous
research supports this. It shows that blended learning needs students to be very disciplined and
motivated. Therefore, lecturers should give clear guidance. Setting deadlines and sending regular
reminders can help keep students on track (Sain et al., 2024).
Student engagement has significantly increased, especially with online discussions and
quizzes. Students said discussions help those who are shy in face-to-face classes. However,
participation is uneven. Limited internet access is a major barrier. Students in remote areas struggle
and feel left out. This shows the need for better, more inclusive technology in education
(Susiyawati et al., 2024).
In terms of lecturers, the lack of technology training is a major obstacle in maximizing the
potential of blended learning. Many lecturers struggle with Learning Management Systems (LMS)
and creating engaging digital content. Without proper training, they can't use all the tech features
available. This gap creates inconsistent learning experiences. Some classes are taught by tech-
savvy lecturers, while others are not. This research recommends ongoing training. It should focus
on technical skills and technology-based teaching methods. Doing so will help lecturers design
effective and engaging learning experiences (Imanova et al., 2024).
Time management challenges loom large for both lecturers and students. Students often
struggle to balance online assignments and in-person lectures. This conflict can leave them feeling
overwhelmed and battling multiple deadlines. Instructors also face challenges, trying to align their
schedules with students'. Each side grapples with the clock, striving for some semblance of order
amid the chaos of academia. Lecturers also face challenges in balancing these two formats. This
situation highlights the need for clearer guidelines in blended learning. Lesson planning should
allocate time for online and in-person components (Esa et al., 2009).
This study shows that blended learning works best with readiness for new tech among
institutions, students, and teachers. It offers flexibility and can improve learning quality. However,
to implement it successfully, a comprehensive approach is needed. This includes enough
infrastructure, training for teachers, and support for students with time management and tech
access.
Indonesia's higher education needs a strategy that is inclusive and addresses local needs. The
government and schools should work together. Blended learning must go beyond a temporary
pandemic fix. It should become a lasting, effective approach to improving education. By solving
challenges, blended learning can create a more flexible and inclusive environment. This would
help all students, no matter where they live or their economic situation.
4. Conclusion
The blended learning model has significant potential to improve the effectiveness of
learning in higher education, largely because of its ability to integrate the benefits of face-to-
face and online-based learning. This approach offers students the flexibility to access materials
according to their time and individual needs, allows for more in-depth interaction through online
discussions, and opens up opportunities for instructors to use various digital tools to improve
the quality of teaching. However, the successful implementation of blended learning cannot be
separated from a number of supporting factors. Institutional policy support is also a key element
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in ensuring the success of blended learning. Institutions need to provide guidance, technical
support, and policies that encourage collaboration between faculty and students to make the
best use of technology. In addition, institutions need to ensure that the learning strategies used
are inclusive so that all students, including those with limited access or technology skills, can
benefit from blended learning. Based on the findings of this study, recommendations include
the development of technology infrastructure at all universities to ensure equal access for all
students. In addition, faculty training focused on the use of learning technologies needs to be
intensified to make them more confident and skilled in the use of various digital platforms.
Finally, it is important to design learning strategies that are more inclusive and responsive to
the needs of students from diverse backgrounds. By overcoming these obstacles, the blended
learning model can be implemented more effectively and make a real contribution to improving
the quality of education in Indonesian higher education.
5. Acknowledgement
Authors thanks to all people and institution in most cases support and funding this research.
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