A Neutrosophic Reflexive Disruption Evolutionary Integral Model for Evaluating the Quality of University Online Education Interactive Platforms Under Teaching Resource Integration
Keywords:
Neutrosophic Logic, Reflexive Disruption, Neutrosophic Evolution, Neutrosophic Integral, Quality Evaluation, Online Education Platforms, Teaching Resource Integration, Uncertainty Modeling, Educational Systems Analysis, Mathematical Quality AssessmentAbstract
This paper presents a new mathematical model for evaluating the quality of university
online education platforms, especially in environments where multiple teaching resources are
being integrated. The proposed model, called the Neutrosophic Reflexive Disruption Evolutionary
Integral (NRDEI), combines key elements from neutrosophic logic and introduces a novel concept
known as reflexive disruption. This concept captures the mismatch that can occur between the
intended purpose of newly added resources and how students actually interact with them. The
model also includes a neutrosophic evolutionary component that tracks whether each platform
feature is improving, declining, or remaining stable over time. By combining this with the
neutrosophic integral, which aggregates uncertain quality values, the model produces a dynamic
and behavior-aware evaluation. The reflexive disruption function is defined mathematically and
is influenced by the divergence between user activity and resource responsiveness. The final
quality score is calculated through a time-integrated function that adjusts the contribution of each
component based on its evolution status and level of disruption. This approach allows for more
realistic and sensitive assessment of online platforms, capturing not only what is provided but also
how it is received and used by learners. The model will be validated through a fully calculated case
study that reflects a real academic platform scenario.
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