Knowledge-Aware Learning Framework Based on Schema Theory to Complement Large Learning Models-Reference-Cited by-同舟云学术

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Knowledge-Aware Learning Framework Based on Schema Theory to Complement Large Learning Models

Published:2024-04-02 Issue:2 Volume:41 Page:453-486
ISSN:0742-1222
Container-title:Journal of Management Information Systems
language:en
Short-container-title:Journal of Management Information Systems

Author:

Xia Long¹,Shen Wenqi²,Fan Weiguo³,Wang G. Alan²

Affiliation:

1. Department of Management & Entrepreneurship, Love School of Business, Elon University, Elon, North Carolina, USA

2. Department of Business Information Technology, Pamplin College of Business, Virginia Tech, Blacksburg, Virginia, USA

3. Department of Business Analytics, Tippie College of Business, University of Iowa, Iowa City, Iowa, USA

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/07421222.2024.2340827

Reference109 articles.

1. CyberGate: A Design Framework and System for Text Analysis of Computer-Mediated Communication

2. An information-theoretic perspective of tf–idf measures

3. Is memory schematic?

4. The Interaction of Domain-Specific and Strategic Knowledge in Academic Performance

5. Schema Theory in Reading

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