Pre-Service Teachers’ Knowledge of Relational Structure of Physics Concepts: Finding Key Concepts of Electricity and Magnetism

Author:

Koponen Ismo,Nousiainen Maija

Abstract

Relational interlinked dependencies between concepts constitute the structure of abstract knowledge and are crucial in learning conceptual knowledge and the meaning of concepts. To explore pre-service teachers’ declarative knowledge of physics concepts, we have analyzed concept networks, which agglomerate 12 pre-service teacher students’ representations of the key elements in electricity and magnetism. We show that by using network-based methods, the interlinked connections of nodes, locally and globally, can be analyzed to reveal how different elements of the network are supported through their connections to other nodes in the network. Nodes with high global connectivity initialize contiguous concept patchworks within the network and are thus most often found to be abstract, general, and advanced concepts. Locally cohesive concepts, on the other hand, are nearly always auxiliary supporting concepts, related to specific textbook-type experiments and model-type conceptional elements. Comparisons of group-level knowledge and individual pre-service teacher students’ knowledge in the form of networks shows that while in group-level the aggregated knowledge is expert-like, at the individual level pre-service teacher students possess only a fraction of that knowledge.

Funder

Academy of Finland

Publisher

MDPI AG

Subject

Public Administration,Developmental and Educational Psychology,Education,Computer Science Applications,Computer Science (miscellaneous),Physical Therapy, Sports Therapy and Rehabilitation

Reference52 articles.

1. How experts differ from novices;Bransford,2000

2. Making Sense of Knowledge Integration Maps;Schwendimann,2014

3. Network structures in proximity data;Schvaneveldt,1989

4. Pathfinder Associative Networks: Studies in Knowledge Organization;Schvaneveldt,1990

5. Binary Pathfinder: An improvement to the Pathfinder algorithm

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Construction and Analysis of Collaborative Educational Networks based on Student Concept Maps;Proceedings of the ACM on Human-Computer Interaction;2024-04-17

2. Action Research on Improving Students’ Conceptual Understanding in the “Force and Energy” Unit through Semantic Mapping;International Journal of Contemporary Educational Research;2023-12-28

3. Data Analytics, Netlike Knowledge Structure, and Academic Performance;Journal of Emerging Technologies in Accounting;2023-10-01

4. Structural Analysis of the Curriculum Through a Bipartite Network;Proceedings of the 8th International Conference on Complexity, Future Information Systems and Risk;2023

5. Monolayer Network Representation and Analysis of the Curriculum;Lecture Notes in Networks and Systems;2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3