A Network Science Perspective to Personalized Learning
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Authors
Gera, Ralucca
Saxena, Akrati
Bartolf, D’Marie
Tick, Simona
Subjects
CHUNK Learning prototype
network of knowledge
individualized learning pathways
personalized education
networks and education
network of knowledge
individualized learning pathways
personalized education
networks and education
Advisors
Date of Issue
2021
Date
Publisher
ArXiv
Language
Abstract
The modern educational ecosystem is not one-size fits all. Scholars are accustomed to personalization in their everyday life and expect the same from education systems. Additionally, the COVID-19 pandemic placed us all in an acute teaching and learning laboratory ex- perimentation which now creates expectations of self-paced learning and interactions with focused educational materials. Consequently, we exam- ine how learning objectives can be achieved through a learning platform that offers content choices and multiple modalities of engagement to sup- port self-paced learning, and propose an approach to personalized edu- cation based on network science. This framework brings the attention to learning experiences, rather than teaching experiences, by providing the learner engagement and content choices supported by a network of knowledge, based on and driven by individual skills and goals. We con- clude with a discussion of a prototype of such a learning platform, called CHUNK Learning.
Type
Preprint
Description
Series/Report No
Department
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
Sponsors
Funder
Format
12 p.
Citation
Distribution Statement
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.