Spiral Network Model of Epistemic Emotion Transformation (SNMEET)_Revisi 1

SNMEET — Spiral Network Model of Epistemic Emotion Transformation
Spiral Network Model of Epistemic Emotion Transformation (SNMEET)
Non-linear model of epistemic-emotion dynamics, recursive appraisal, emotion coexistence, and iterative regulation
Spiral Network Model of Epistemic Emotion Transformation SNMEET represents epistemic-emotion transformation as a non-linear network. Cognitive incongruence initiates the process, followed by appraisal, emotion construction, regulation, and tentative outcomes. The Zone of Optimal Confusion represents a transitional space where productive uncertainty and epistemic exploration occur. Recursive feedback allows outcomes and regulation to re-enter the appraisal process and subsequent triggers. ZONE OF OPTIMAL CONFUSION (ZOC) Productive uncertainty during epistemic exploration entering into uncertainty SNMEET Spiral Network Model Epistemic Emotion Transformation (Spiral Network Model) initial appraisal meaning construction regulation response tentative outcome new incongruence 1 TRIGGER Cognitive Incongruence • Prediction–outcome discrepancy • Knowledge gap • New task demands “SAYA TIDAK SUKA AI” (I DON'T LIKE IT AI) 2 APPRAISAL Multidimensional & Iterative • Control and value • Epistemic self-confidence • Experience and social support “saya percaya saya bisa” (I believe I can do it) 3 EMOTION CONSTRUCTION Categorization & Coexistence • Emotion spectrum • Coexisting emotions • Non-exclusive emotional states “panik takut namun ingin tahu” (panic and fear, yet curious) 4 REGULATION Flexible & Cyclical • Cognitive reappraisal • Social support • Information exploration “bertanya agar paham” (asking questions to understand) 5 OUTCOME Branching & Open • Conceptual understanding • Satisfaction / frustration • Input for next cycle “ternyata fisika itu menyenangkan” (turns out physics is fun) ZOC functions as a transitional space where uncertainty can support epistemic exploration NON-LINEAR EPISTEMIC-EMOTION TRANSFORMATION recursive appraisal • emotion coexistence • flexible regulation
Main cycle
Recursive feedback
ZOC boundary / transition
SNMEET core
Principle 1 — Recursive Cycle The process does not stop after one outcome; new incongruence can initiate another cycle.
Principle 2 — Emotion Coexistence Several epistemic emotions can coexist rather than function as mutually exclusive states.
Principle 3 — Networked Transformation Emotion transformation is represented as a network rather than a fixed linear sequence.
Empirical grounding of the model
Cognitive incongruence: “SAYA TIDAK SUKA AI” (I DON'T LIKE IT AI) (XI-4-21, E1); “pusing” (dizzy / overwhelmed) (XI-4-20, E1 & E5).
Iterative appraisal: “saya percaya saya bisa” (I believe I can do it) (XI-4-10); “khawatir namun saya percaya saya bisa” (worried, but I believe I can do it) (XI-4-22, E4).
Emotion coexistence: “panik takut namun ingin tahu” (panic and fear, yet curious) (XI-4-22, E5); “menegangkan dan siap belajar” (tense and ready to learn) (XI-4-13, E1).
Flexible regulation: “bertanya agar paham” (asking questions to understand) (XI-4-22, E1); searching on Google (XI-4-21, E3).
Tentative outcome: “ternyata fisika itu menyenangkan” (turns out physics is fun) (XI-4-22, E5).
Iterative re-entry: “mencoba lagi sebagai evaluasi diri” (trying again as self-evaluation) (XI-4-10).

Note. SNMEET is a theoretical abstraction derived from interpretative phenomenological analysis of written reflections across five physics learning episodes. The model represents epistemic-emotion transformation as non-linear, recursive, and potentially characterized by emotion coexistence. The Zone of Optimal Confusion (ZOC) is conceptualized as a transitional space where uncertainty can remain productive during epistemic exploration. This model is not proposed as a definitive causal model.