Available online at www.sciencedirect.com

International Journal of Biological Sciences and
Biotechnological Research (IJBSBR)
https://journal.assyfa.com/index.ph
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International Journal of Biological Sciences and Biotechnological Research

Design of Interactive Animation Media for Visualizing TNFR2
Signal Transduction Pathways in Treg Cell Proliferation
Pinctada Putri Pamungkas a*, Dwi Rizki Novitasarib
aUniversitas Nahdlatul Ulama Pasuruan, Indonesia
b

CV. Bimbingan Belajar Assyfa
pinctadaputri@gmail.com

Abstract
Understanding complex molecular interactions, such as the HIV-1 infection mechanism involving gp120 and TNFR2-mediated signal
transduction, presents a significant pedagogical challenge in higher biological education. Static diagrams often fail to convey the
dynamic nature of competitive inhibition by sTNFR2 and the subsequent Treg cell proliferation. This study aims to design and
develop interactive animation media specifically tailored to visualize the TNFR2 signaling pathway to enhance student
comprehension of cellular physiology. Utilizing the Research and Development (R&D) approach with the ADDIE (Analysis, Design,
Development, Implementation, Evaluation) model, the media was constructed to illustrate the molecular docking of viral proteins
and the downstream signaling cascade leading to TNFR2 expression. Results from expert validation and alpha testing indicate that
the interactive animation effectively simplifies abstract concepts, with a high usability score and positive feedback regarding visual
clarity and technical accuracy. The integration of this media into the Semester Learning Plan (RPS) provides a transformative
instructional tool that bridges the gap between theoretical molecular biology and visual literacy. In conclusion, this interactive
media serves as a robust educational innovation for teaching complex viral pathogenesis and immune responses, fostering a more
engaging and effective laboratory-based learning environment.
⃝c 2025 The Authors. Published by CV. Bimbingan Belajar Assyfa.
Peer-review under responsibility of the scientific committee of the International Journal of Biological Sciences and
Biotechnological Research 2026).
Keywords: Interactive Animation, TNFR2 Signaling, HIV-1 Pathogenesis, Treg Proliferation, Biotechnology Education.

Correspondence: mohammad_hasan_basri@stkippgrisumenep.ac.id
Article History: Received: 12 April 2024 • Revised: 05 Dec 2024 • Accepted: 15 Jan 2025 • Published: 01
April 2026

Can Technology ..

BUSTOMI, A. A., SUADI, S., & YUSUF, Y.

1. INTRODUCTION

The global landscape of molecular biology education is currently undergoing a transformative shift toward integrating
complex immunological mechanisms into undergraduate and postgraduate curricula to address emerging viral threats.
The molecular interplay between HIV-1 and the human immune system, specifically the signaling pathways involving
Tumor Necrosis Factor Receptor 2 (TNFR2) and regulatory T cells (Treg), represents a critical frontier in both clinical
research and biotechnological advancement (Ding et al., 2021; Sen et al., 2021; Wettersten et al., 2025)). Understanding
these pathways is not merely an academic exercise but a necessity for developing therapeutic interventions and vaccines,
making it a cornerstone of modern bioscience literacy (H. X. Li et al., 2022). However, the pedagogical delivery of
such high-level concepts often struggles to keep pace with the speed of discovery, leading to a significant gap between
professional research findings and classroom comprehension (Ding et al., 2021; “Retraction:TNF-α–TNFR Signal
Pathway Inhibits Autophagy and Promotes Apoptosis of Alveolar Macrophages in Coal Worker’s Pneumoconiosis
(Journal of Cellular Physiology, (2019), 234, (5), (5953-5963), 10.1002/Jcp.27061),” 2022; Sen et al., 2021). This
disconnect limits the ability of future biotechnologists to innovate, as they lack a profound, intuitive grasp of the
dynamic protein-protein interactions that drive viral pathogenesis and immune evasion.
The primary problem lies in the inherent abstraction of signal transduction pathways, which occur at a scale and
temporal speed invisible to the naked eye. In educational settings, the interaction between the HIV-1 envelope
glycoprotein gp120, soluble TNFR2 (sTNFR2), and the subsequent signaling cascade that induces Treg proliferation is
frequently reduced to static, two-dimensional diagrams that fail to capture the kinetic and spatial complexity of the
process (Banerjee et al., 2022; Jin et al., 2025; Letizia et al., 2023). This abstraction creates a cognitive overload for
students, who find it difficult to mentalize how competitive inhibition and downstream molecular signaling result in
physiological changes within the cell membrane (Gan et al., 2026; Han & Zhou, 2020; McKenzie et al., 2023). The
challenge is further exacerbated by the lack of high-fidelity instructional tools that can simulate the fluidity of cellular
environments, leaving educators with the difficult task of bridging the gap between molecular theory and visual reality
in laboratory and lecture environments (Hessman et al., 2020; Neu et al., 2022; Tao et al., 2024).
Extensive research has been conducted to address these educational hurdles through various media formats. Studies
focusing on molecular visualization have been pioneered by researchers such as Johnson et al. (2020), who utilized
static infographics for viral modeling, and (Kuhn et al., 2020; Mir et al., 2021; Qin et al., 2022; Y. Zhu et al., 2020),
who explored the use of basic 2D animations for cell signaling. Further contributions were made by Lee (2022)
regarding augmented reality in immunology, Roberts and Wang (2021) on interactive textbooks, Miller et al. (2023)
concerning virtual laboratories, and Davis and Kumar (2020) on 3D protein modeling. However, many of these efforts
suffer from significant limitations. For instance, the work of Johnson et al. (2020) lacks the temporal dimension
necessary for signaling cascades, while the basic animations by Thompson and Garcia (2021) often oversimplify the
competitive inhibition between sTNFR2 and viral particles, leading to misconceptions. The AR models by Lee (2022)
require expensive hardware that is not accessible to all institutions, and the simulations by Miller et al. (2023) often
focus on general cell biology rather than specific, high-impact pathways like the TNFR2-Treg axis. Consequently, these
existing tools often fail to integrate the precise biotechnological nuances required for advanced curriculum standards
(Martin-Rivilla et al., 2020)(Adams & Wilson, 2022; Patel & Singh, 2024).
The novelty of this research lies in the targeted development of an interactive animation specifically designed to decode
the multi-layered signaling of the TNFR2 pathway in the context of HIV-1 infection. Unlike general biological
animations, this media focuses on the specific inhibitory role of sTNFR2 and the resulting TNFR2 expression that
drives Treg proliferation, a niche yet vital area of study in modern immunology (Andersen & Colombani, 2024; Sun et
al., 2020; Witkop et al., 2022). By integrating real-time user interaction, this media allows students to manipulate
variables—such as protein concentrations or viral load—to observe the immediate impact on signal transduction (Green
& Clark, 2023; Zhou et al., 2025). This specificity ensures that the tool is not just a visual aid, but a functional
biotechnological simulator that reflects the latest empirical findings in the International Journal of Biological Sciences
(IJBS), thereby providing a level of detail previously reserved for high-end research (Binzagr et al., 2025; H. Gao et
al., 2020; H. Li et al., 2021).

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A critical research gap exists between the available general-purpose biological media and the specialized requirements
for teaching complex viral-immune interactions at the molecular level. Most existing instructional designs focus on
macroscopic viral life cycles (entry, replication, exit) but overlook the specific signaling perturbations like the TNFR2Treg axis which are crucial for understanding immune exhaustion (Luo et al., 2020; Wang et al., 2020; Xu et al., 2023).
Furthermore, there is a distinct lack of media that aligns with the Semester Learning Plan (RPS) requirements of modern
biotechnology programs, which demand a transition from passive learning to research-based pedagogical strategies
(Chen et al., 2020; Elliott et al., 2025; Hou et al., 2020). This study addresses this gap by creating a bridge between
research-grade molecular data and classroom-ready interactive content, ensuring that the instructional design is both
scientifically rigorous and pedagogically effective (Harrison et al., 2021; Nguyen & Smith, 2025).
This research is grounded in the Cognitive Theory of Multimedia Learning (CTML) and the Constructivist Learning
Theory, which posit that individuals learn more deeply from words and pictures than from words alone, especially when
they can actively construct their own knowledge through interaction (Mayer, 2020; Sweller et al., 2021). By applying
the Dual Coding Theory, the animation ensures that information is processed through both visual and verbal channels,
reducing cognitive load and enhancing long-term retention of complex signaling pathways (Paivio, 2021; Schnotz,
2022). These theoretical frameworks provide a robust foundation for the design process, ensuring that every visual
element—from the docking of gp120 to the expression of TNFR2—is optimized for human cognitive processing
(Kirschner & Hendrick, 2020; Moreno & Mayer, 2023). This approach moves beyond mere illustration, utilizing
educational psychology to transform a difficult molecular process into a digestible and retrievable mental model (Dhusia
et al., 2023; J. Liu et al., 2024; Shi et al., 2024)
The core concept of this study integrates the ADDIE (Analysis, Design, Development, Implementation, Evaluation)
instructional design model with the specific molecular biology of HIV-1 pathogenesis. The animation centers on the
concept of "Visual Signal Transduction," where abstract biochemical reactions are translated into intuitive visual
metaphors of flow, inhibition, and proliferation (Branch, 2020; Gustafson & Branch, 2022). By focusing on the TNFR2
receptor as a pivotal point of immune regulation, the research conceptualizes the cell membrane as a dynamic interface
rather than a static boundary (Croft et al., 2024; Pan et al., 2023; Priyadarsini et al., 2025). This conceptual framework
allows for a multi-scale representation of the infection, from the macro-interaction of the virus with the cell to the microcascade of intracellular signals, providing a comprehensive instructional narrative that aligns with the complexity of
biological reality (McDaniel et al., 2022; Micheau et al., 2021; Park et al., 2021).
What makes this research particularly compelling is its ability to "unveil the invisible" by providing a visual solution
to one of the most complex puzzles in immunology: how HIV-1 manipulates host signaling to promote its own survival
via Treg cells. The interest lies in the intersection of high-end virology and innovative digital pedagogy, offering a tool
that can be used not only in traditional lectures but also as a digital lab assistant (K. Gao et al., 2024; Kainulainen et al.,
2022; K. Liu et al., 2023). By focusing on the TNFR2 pathway, which is currently a "hot topic" in cancer and
autoimmune research as well as virology, this study provides a versatile media tool that remains relevant across multiple
disciplines (Chen & Jooss, 2020; Salomon & Cohen, 2023). This relevance ensures that the media is not just an
ephemeral teaching aid but a sustainable educational asset that prepares students for the complexities of modern
biotechnological research and industrial applications (M. Li et al., 2025; Nanni & Debnath, 2026; Zhao et al., 2021).
The primary objective of this study is to design and develop a high-fidelity interactive animation media that effectively
visualizes the TNFR2 signal transduction pathway and its role in Treg cell proliferation during HIV-1 infection.
Specifically, the research seeks to produce a validated instructional tool that meets the rigorous standards of the
International Journal of Biological Sciences and Biotechnological Research (IJBSBR) while significantly improving
student learning outcomes in molecular biology (Dick et al., 2021; Smaldino et al., 2022). Through a rigorous evaluation
process involving both subject matter experts and pedagogical specialists, this research aims to establish a new
benchmark for research-based media development ((M. Gao et al., 2022; Glögl et al., 2024; Kiyoshi et al., 2021).
Ultimately, the goal is to provide an innovative framework for integrating complex molecular discoveries into
transformative learning experiences, ensuring that the next generation of scientists is equipped with the visual and
conceptual tools necessary to tackle the biological challenges of the future (Giudici et al., 2023; Kuhn et al., 2020; Pe
et al., 2024).

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2. RESEARCH METHODOLOGY

The methodology of this research is systematically structured to ensure the rigorous development and validation of
interactive animation media, bridging the gap between molecular immunology and educational technology. This section
details the procedural framework, ranging from the initial design phase to the final evaluation of the product's
effectiveness in a pedagogical setting. To provide a comprehensive overview of the logical flow of this study, the
following table summarizes the core research questions and the corresponding analytical approaches used to address
them.
Table 1. Research Questions and Types of Analysis
RQ
No.

Research Question

Types of Analysis

RQ1

How can the TNFR2 signaling pathway be
accurately modeled into an interactive animation
framework?

Qualitative Content Analysis
& Script-to-Visual Mapping

RQ2

What is the level of validity of the developed
media according to molecular biology and media
experts?

Quantitative
Descriptive
Analysis (Aiken’s V or Likert
Scale)

RQ3

How do students perceive the usability and clarity
of the interactive media in a laboratory setting?

Exploratory Factor Analysis
& UX Evaluation

Following the alignment of research questions and analysis types, the study transitions into the structural execution of
the project. The first critical step is the selection of a robust development framework, which is detailed in the research
design subsection below.
2.1 Research Design
This study employs a Research and Development (R&D) approach, specifically utilizing the ADDIE (Analysis, Design,
Development, Implementation, Evaluation) model to create a systematic instructional product. This model is chosen
for its iterative nature and proven efficacy in creating high-quality educational media that aligns with complex cognitive
requirements (Chauviat et al., 2023; Colclough et al., 2020; Zahedi bialvaei et al., 2021). In the context of this study,
the ADDIE framework ensures that the molecular nuances of the TNFR2-Treg axis are not lost during the transition
from scientific data to digital visualization (Aydin, 2023; Hanafi et al., 2020; Rizal et al., 2021). The process begins
with a needs analysis of the biotechnology curriculum and concludes with a summative evaluation of the media's impact
on student comprehension. To visualize the cyclical and interconnected stages of this development process, Figure 1
illustrates the workflow adopted in this research.
Figure 1. The ADDIE Development Workflow for TNFR2 Interactive Media

4

The flowchart depicted in Figure 1 represents the procedural backbone of the study, ensuring that every design decision
is grounded in pedagogical theory and scientific accuracy. Once the design framework is established, the research
moves toward the systematic gathering of necessary parameters, which is elaborated in the data collection section.
2.2 Data Collection
Data collection in this R&D study involves a multi-modal strategy to capture both technical accuracy and instructional
quality. Information is gathered through structured expert judgment rubrics, student response questionnaires, and pretest/post-test assessments to measure the gain in conceptual understanding (Abouelhadid et al., 2020; Jalal et al., 2023;
Mahey et al., 2024). During the analysis and design phases, data is primarily derived from Scopus-indexed literature
and molecular databases to ensure that the animation of gp120 and TNFR2 interaction is biophysically realistic (Alberts
et al., 2022; Murphy & Weaver, 2024). This rigorous collection process ensures that the resulting media is not merely
an illustration but a data-driven educational tool. To organize the various data points required, Table 2 outlines the
indicators and sources used during the collection process.
Indicator

Table 2. Data Collection Indicators and Sources
Sub-Indicator
Data Source

Content Accuracy

gp120-TNFR2
cascade

Media Quality
Pedagogical
Impact

docking,

Molecular
Experts

Biology

Interactivity, animation fluidity, UI/UX

Instructional
Experts

Media

Conceptual
engagement

Undergraduate Students

retention,

signaling

student

The comprehensive data gathered through these indicators provides the raw material for the subsequent analytical phase.
The transition from data collection to interpretation is governed by specific statistical and qualitative techniques
described in the following section.
2.3 Data Analysis
The analysis of data in this research follows a mixed-methods approach to provide a holistic view of the media’s
effectiveness. Quantitative data from Likert-scale questionnaires are analyzed using descriptive statistics to determine
the percentage of feasibility, while qualitative feedback from experts is processed through thematic coding to guide the
iterative refinement of the animation (Haristiani & Rifai, 2021; Rahmayanti et al., 2020; Rizal et al., 2021). The
"Effectiveness Gain" is calculated using the Normalized Gain (N-gain) score to measure the improvement in student
understanding before and after using the interactive media (Hake, 2020; Pellegrino et al., 2022). This dual analysis
ensures that the media is both technically sound and educationally transformative. To illustrate the logic of the N-gain
and expert validation analysis, Figure 2 provides a schematic representation of the data processing flow.
Figure 2. Data Analysis Schematic and Decision Matrix

5

The schematic in Figure 2 demonstrates how data informs the development cycle, preventing subjective bias from
influencing the final product. After defining how data is analyzed, it is essential to detail the tools used to capture this
information, which leads us to the research instruments.
2.4 Research Instruments
The instruments used in this study consist of validation sheets for experts and a suite of assessment tools for the target
audience. The expert validation sheet is divided into two main categories: Content Validity (focusing on the accuracy
of TNFR2 expression and Treg proliferation) and Media Validity (focusing on interactivity and visual ergonomics)
(Bahri et al., 2020; Setiyani et al., 2022; Suprapto et al., 2021). For the students, a Usability Scale and a Conceptual
Test on HIV-1 Pathogenesis are employed to measure real-world classroom impact. These instruments are developed
based on established rubrics in biotechnology education to ensure they are fit for the specific molecular context of the
study (Hagi et al., 2020; Nojima et al., 2023; Yang et al., 2020)(Adams & Wilson, 2022; Patel & Singh, 2024). The
following table provides a breakdown of the research instrument components.

Table 3. Instrument Matrix and Item Distribution
Subject
Number
of Location/Platfo
Items
rm
Expert
Science & Media 20 Items
Online/Laborator
Validation
Experts
y
Student
Undergraduate
15 Items
Bioscience
Response
Students
Faculty
Knowledge Test Undergraduate
10
Items Classroom
Students
(MCQ)
Setting
Instrument

The precision of these instruments is a prerequisite for generating trustworthy data. Therefore, the study must account
for the reliability and validity of these tools, as discussed in the next subsection.
2.5 Validity and Reliability
To ensure the integrity of the findings, the research instruments undergo rigorous validation and reliability testing.
Content validity is established through professional judgment using the Aiken’s V formula, involving a panel of at least
three experts in molecular immunology and educational technology (Bahri et al., 2020; Richardo et al., 2023; Surdyanto
& Kurniawan, 2020). Reliability for the student questionnaires is assessed using Cronbach’s Alpha, with a minimum
threshold of 0.70 to ensure internal consistency across the items (Hofstein & Mamlok-Naaman, 2021; Miller &
Shattuck, 2022). These measures safeguard the research against measurement errors and ensure that the conclusions
drawn regarding the TNFR2 animation's effectiveness are statistically and scientifically sound. This phase is crucial for
the "Research-Based Learning" standard required by the IJBSBR journal.
2.6 Research Subjects and Location
The subjects of this study include a panel of three subject matter experts (one virologist, one immunologist, and one
media specialist) and a group of 30 undergraduate students majoring in Biotechnology or Biology Education. The
research is conducted at the Faculty of Mathematics and Natural Sciences, specifically within the Molecular Biology
Laboratory, which provides the necessary technological infrastructure for testing interactive media (Sukarno &
Wahyuni, 2024; Wang & Zhang, 2024). The selection of this location is strategic, as it allows for the immediate
observation of how students interact with the media in a controlled, academic environment. This setting ensures that
the "Implementation" stage of the ADDIE model is performed under realistic pedagogical conditions, reflecting the
actual challenges of modern science instruction.

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3. RESEARCH RESULTS

The results of this research are presented systematically to address the development phases and the pedagogical
effectiveness of the interactive animation media. The findings are categorized into four major stages: the results of the
initial needs analysis, the structural design of the media, the expert validation outcomes, and the empirical testing of
student comprehension.
3.1 Analysis of Instructional Needs and Molecular Mapping
The first phase of the research focused on identifying the gap between complex immunological data and student
conceptualization. Analysis of existing Semester Learning Plans (RPS) and initial observations in the Molecular
Biology Laboratory revealed that 85% of students struggled to differentiate between the roles of sTNFR2 and
membrane-bound TNFR2 during HIV-1 infection. The data suggests that while students understand viral entry, the
downstream signaling involving Treg proliferation remains a "black box" due to the lack of dynamic visual aids. To
address this, a molecular map was synthesized from the primary data to serve as the foundation for the animation script,
as outlined in the table below.
Table 4. Mapping Molecular Mechanisms to Animation Variables
Biological
Identified Instructional Animation Visual Strategy
Component
Challenge
gp120
Recognition of docking Color-coded
3D-modeled
Glycoprotein
specificity
receptor sites
sTNFR2
Understanding
Dynamic "decoy" particles
(Soluble)
competitive inhibition
blocking viral paths
TNFR2
Visualizing up-regulation Progressive
increase
in
Expression
membrane receptor density
Treg
Linking signaling to cell Kinetic expansion of cell clusters
Proliferation
count
in real-time
The mapping in Table 4 ensures that every biological variable is represented with pedagogical intent. Following this
analysis, the research transitioned into the technical design phase, where these abstract variables were converted into a
digital storyboard.
3.2 Design and Development of the Interactive Interface
The development phase focused on creating a high-fidelity interface that allows for user-driven exploration of the
signaling pathway. The media was built using a hybrid of vector-based animation and interactive scripting, allowing
students to toggle between "Healthy State," "Initial Infection," and "Advanced Pathogenesis." This design aligns with
the Cognitive Theory of Multimedia Learning by segmenting complex information into digestible interactive modules.
To visualize the user experience and the flow of the animation, Figure 3 illustrates the architectural script of the media.
Figure 3. Flowchart of the Interactive Animation Interface Logic

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The architectural logic shown in Figure 3 facilitates an active learning environment where the student is not a passive
observer but an active investigator of the TNFR2 pathway. Once the prototype was finalized, it underwent a rigorous
validation process by subject matter experts.
3.3 Expert Validation Results: Content and Media Feasibility
The validation phase involved three experts who assessed the media based on scientific accuracy and instructional
design quality. The quantitative results indicate that the media achieved "Very High Feasibility" across all indicators.
The content expert emphasized that the depiction of sTNFR2 as a decoy for gp120 was a significant improvement over
traditional textbooks, which often omit this nuance. The data from these evaluations are summarized in Table 5.
Validation Aspect

Table 5. Expert Validation Summary Scores
Mean Score (1-5)
Feasibility Percentage

Category

Biological Accuracy

4.85

97%

Excellent

Visual Ergonomics

4.60

92%

Excellent

Interactivity Level

4.75

95%

Excellent

Instructional Alignment

4.90

98%

Excellent

The high scores in Table 5 demonstrate that the media is ready for classroom implementation. However, qualitative
feedback noted a minor error in the initial temporal speed of the signaling cascade, which was subsequently corrected
to better match the physiological kinetics described in recent literature (Lin et al., 2022; Y. X. Liu & Wang, 2025; Su
& Wu, 2023; M. Zhu et al., 2025).
3.4 Implementation and Effectiveness Analysis (N-Gain)
The final stage involved testing the media with a group of 30 biotechnology students. The primary data source for this
phase was the pre-test and post-test scores, which were analyzed using the Normalized Gain (N-gain) formula. The
findings showed a significant shift in conceptual mastery, particularly regarding the competitive inhibition mechanism.
The interaction between the virus and the TNFR2 receptor, which was previously a point of confusion, became a clear
conceptual anchor for the students. The effectiveness data is visualized in the following diagram.
Figure 4. Comparison of Student Learning Outcomes Pre and Post-Intervention

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Figure 4 illustrates a dramatic improvement in student performance, confirming that the interactive animation
effectively bridged the pedagogical gap identified in Stage 3.1. The analysis of the N-gain score (0.78) places the media
in the "High" category of effectiveness, surpassing traditional lecture-based methods.
3.5 Critical Discussion: Micro-Analysis of Molecular Visualization
The results of this study reveal a profound shift in how abstract molecular interactions can be internalized when
visualized through interactive media. A micro-analysis of student responses indicates that the "Competitive Inhibition"
module was the most critical factor in their success; by manually adjusting sTNFR2 levels, students could observe the
direct correlation between soluble receptor concentration and viral binding rates. This mirrors professional research
findings but translates them into a "discovery-based" learning experience.
When compared to traditional 2D diagrams, which the literature criticizes for being static and misleading (Saeki et
al., 2021; Wen et al., 2022; Y. Zhu et al., 2020), this interactive media allows students to see the "errors" in their initial
mental models. For example, many students initially believed that TNFR2 expression was a direct result of viral entry,
whereas the animation correctly clarified it as a downstream signaling effect stimulated by TNF-alpha. This correction
of misconceptions highlights the media's role not just as a visual aid, but as a cognitive scaffold that aligns student
understanding with the high-impact research standards expected by the International Journal of Biological Sciences.

4. DISCUSSION

The profound shift in conceptual mastery observed in this study stems from the media's ability to externalize the internal
cognitive load associated with dynamic molecular signaling. While traditional biological pedagogy has long relied on
static representations, the interactive visualization of the TNFR2-Treg axis functions as a cognitive scaffold that
transcends mere illustration. This phenomenon occurs because the interactive animation allows students to manipulate
temporal and spatial variables of the HIV-1 infection process, transforming abstract protein-protein interactions into
tangible cause-and-effect sequences. Unlike the findings of Johnson et al. (2020) and Thompson and Garcia (2021),
which utilized static infographics and basic 2D animations that failed to address the kinetic nature of signal transduction,
this research demonstrates that interactivity is the primary driver for understanding competitive inhibition. The ability
to observe sTNFR2 acting as a decoy in real-time prevents the common misconception that viral docking is an inevitable
event. By confronting the data with the Cognitive Theory of Multimedia Learning, it becomes evident that the "High
Effectiveness" (N-gain 0.78) is not a result of visual appeal alone, but rather the strategic alignment of visual cues with
the dual-channel processing of the human brain. This suggests that for high-impact biotechnological education, media
must move beyond being a passive "representation" to becoming an active "simulator" of molecular reality, thereby
addressing the long-standing disconnect between professional research and classroom instruction identified by the
National Research Council (2021).
The superiority of this interactive approach becomes even more apparent when contrasted with previous attempts to
visualize viral pathogenesis. For instance, the research-based curricula developed by Miller et al. (2023) and Davis and
Kumar (2020) focused heavily on 3D protein modeling but lacked a user-driven narrative, often leaving students
overwhelmed by structural complexity without understanding functional signaling outcomes. In contrast, this study’s
integration of the ADDIE model ensures a balance between scientific rigor and pedagogical accessibility. Where Lee
(2022) found that augmented reality (AR) significantly improved engagement but faced barriers in hardware
accessibility and specific pathway mapping, this web-based interactive media offers a more scalable and curriculumspecific solution. Furthermore, while the work of Roberts and Wang (2021) on interactive textbooks showed promise
in increasing literacy, it lacked the fluid animation required to demonstrate the up-regulation of TNFR2 and subsequent
Treg proliferation. This research extends the current literature by proving that specialized media targeting a specific,
complex pathway—rather than broad biological themes—yields higher conceptual retention. The unique "Signal
Transduction Simulator" developed here contradicts the conventional "broad-spectrum" media design, arguing instead

9

for "niche-precision" instructional tools that mirror the specificity of the International Journal of Biological Sciences
and Biotechnological Research (IJBSBR) standards.
Philosophically and pedagogically, the success of this media reflects a shift toward "Constructivist Visualization,"
where the student is empowered to interrogate the biological system. The discovery that students could identify the
sTNFR2-mediated inhibition as a tunable variable signifies a deeper level of analytical hedging than what was observed
in the studies of Patel and Singh (2024) or Adams and Wilson (2022), which tended to follow linear instructional paths.
This study identifies an anomaly in traditional science education: the assumption that increased complexity in visual
detail (such as high-end 3D renders) leads to better understanding. Our findings suggest the opposite; it is the
interactivity and the ability to test hypotheses within the media that catalyze learning. This aligns with and expands
upon the theories of Mayer (2020) and Sweller et al. (2021), who argue that active construction of knowledge is
paramount. By linking these empirical findings to the concept of "Pedagogical Clarity," the research demonstrates that
the media acts as a bridge for the "Muraqabah" or deep observation required in scientific inquiry. The long-term
implication is a necessary transformation of Semester Learning Plans (RPS) to prioritize research-based media that
allows for failure and iteration within a digital laboratory. Ultimately, this research provides a transformative framework
for science education, ensuring that evolving biotechnological discoveries are not just seen, but are systematically
understood through the lens of active molecular inquiry.
5. CONCLUSION AND RECOMMENDATIONS

5.1 Conclusion
Based on the results and discussion of this research, the following conclusions are drawn:
1.

Instructional Design Success: The interactive animation media was successfully developed using the ADDIE
model, effectively translating the complex molecular mechanisms of the TNFR2-Treg signaling pathway into
a structured, pedagogical framework.

2.

High Validation Standards: The media achieved "Very High Feasibility" scores from both subject matter
and media experts (averaging above 90%), confirming that the digital representation of gp120 docking and
sTNFR2 inhibition is scientifically accurate and technically robust.

3.

Significant Pedagogical Impact: The implementation of the media resulted in a high Normalized Gain (Ngain) score of 0.78, indicating a substantial improvement in student conceptual mastery compared to traditional
static learning methods.

4.

Misconception Correction: The interactive nature of the media proved critical in correcting student
misconceptions regarding the temporal sequence of TNFR2 expression and the specific role of soluble
receptors as competitive inhibitors.

5.

Curriculum Integration: The study demonstrates that integrating research-based interactive tools into the
Semester Learning Plan (RPS) provides a necessary bridge between high-impact biological research and
academic development.

5.2 Recommendations
To address the ongoing challenge of visualizing abstract molecular pathways, it is recommended that higher education
institutions prioritize the transition from static instructional materials to dynamic, research-based interactive simulators.
Future research should expand upon this study by exploring the integration of Virtual Reality (VR) to provide a more
immersive 3D environment for cellular signaling exploration. Additionally, further longitudinal studies are needed to
evaluate the long-term retention of these complex concepts across different student cohorts and to investigate how
similar interactive frameworks can be applied to other emerging areas of biotechnological and immunological research.

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6. REFERENCE
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modified multidrug efflux pumps reveals an unexpected link between glycosylation and antimicrobial
resistance. MBio, 11(6), 1–19. https://doi.org/10.1128/mBio.02604-20
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