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<records>
<record>
<language>eng</language>
<publisher>Science and Education Publishing</publisher>
<journalTitle>American Journal of Educational Research</journalTitle>
<eissn>2327-6150</eissn>
<publicationDate>2026-07-21</publicationDate>
<volume>14</volume>
<issue>7</issue>
<startPage>220</startPage>
<endPage>227</endPage>
<doi>10.12691/education-14-7-3</doi>
<publisherRecordId>EDUCATION20261473</publisherRecordId>
<documentType>article</documentType>
<title language="eng">Mapping Knowledge Bases and Structural Isolation in Mathematics Teachers¡¯ TPACK: A Network Perspective</title>
<authors>
<author>
<name>Subir Sen</name>
<affiliationId>1</affiliationId>
</author>
<author>
<name>Birbal Saha</name>
<affiliationId>2</affiliationId>
</author>

</authors>
<affiliationsList>
<affiliationName affiliationId="1">Associate Professor, Department of Education, Sidho-Kanho-Birsha University, Purulia, West Bengal, India</affiliationName>
<affiliationName affiliationId="2">Professor, Department of Education, Sidho-Kanho-Birsha University, Purulia, West Bengal, India</affiliationName>
</affiliationsList>
<abstract language="eng">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 &#214;nal [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.</abstract>
<fullTextUrl format="pdf">https://pubs.sciepub.com/education/14/7/3/education-14-7-3.pdf</fullTextUrl>
<keywords language="eng"><keyword>Network</keyword>
<keyword>TPACK</keyword>
<keyword>Mathematics</keyword>
<keyword>Trainee Teachers</keyword>
<keyword>Cluster</keyword>
</keywords>
</record>
</records>
