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Sen, S. (2022). Content knowledge and pedagogical content knowledge in the unit graph of ninth grade Mathematics Textbook of West Bengal Board of Secondary Education. International Journal of Research Publication and Reviews, 3(1), 877-883.

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Article

Mapping Knowledge Bases and Structural Isolation in Mathematics Teachers’ TPACK: A Network Perspective

1Associate Professor, Department of Education, Sidho-Kanho-Birsha University, Purulia, West Bengal, India

2Professor, Department of Education, Sidho-Kanho-Birsha University, Purulia, West Bengal, India


American Journal of Educational Research. 2026, Vol. 14 No. 7, 220-227
DOI: 10.12691/education-14-7-3
Copyright © 2026 Science and Education Publishing

Cite this paper:
Subir Sen, Birbal Saha. Mapping Knowledge Bases and Structural Isolation in Mathematics Teachers’ TPACK: A Network Perspective. American Journal of Educational Research. 2026; 14(7):220-227. doi: 10.12691/education-14-7-3.

Correspondence to: Birbal  Saha, Professor, Department of Education, Sidho-Kanho-Birsha University, Purulia, West Bengal, India. Email: birbalsaha@gmail.com

Abstract

This study employs Network Analysis to examine the cognitive structure of teacher knowledge within the Technological Pedagogical Content Knowledge (TPACK) framework among 600 pre-service mathematics teachers in West Bengal. Utilizing the TPACK-Math Scale by Önal [1], the research explores the integration of eight knowledge domains: Content (CK), Pedagogical (PK), Technological (TK), and Contextual Knowledge (CNTK), along with their intersections. The network is remarkably dense, with a sparsity value of 0.143, indicating that 86% of theoretical relationships are empirically present. Technological Pedagogical Knowledge (TPK) emerged as the primary functional hub, showing the highest closeness (1.237) and strength (1.135). Pedagogical Knowledge (PK) acts as a critical bridge (betweenness = 0.917) connecting content mastery to technology. Both TK and CNTK exhibit negative centrality, suggesting these domains remain isolated from the broader pedagogical reasoning. Furthermore, Technological Content Knowledge (TCK) forms a siloed, redundant module with exceptionally high clustering coefficients (e.g., Zhang = 2.193). A negative correlation exists between TK and PCK (-0.071), suggesting that excessive focus on pure technology can inhibit the development of situated pedagogical expertise. The PK-CK axis remains the strongest relationship (weight = 0.480), serving as the framework’s foundational ‘spine’. The study concludes that while teachers have synthesized pedagogical and technological processes, professional development must transition from general technology training to network-rebalancing approaches. Recommendations include anchoring technology use in content-specific pedagogical goals and strengthening the links between technical skills and local classroom contexts to foster a more resilient and adaptive teaching expertise.

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