The technical implementation of knowledge graphs is not complicated, but constructing them for courses is not an easy task.Today, I will share insights and ideas from Associate Professor Cao Dianbo of Yan’an University on building knowledge graphs.
This article aims to provide a comprehensive interpretation of knowledge graphs from a technical perspective, hoping to assist teachers.
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1. Four Construction Experiences of Course Knowledge Graphs
1. It is best to have a solid foundation in course construction, preferably with a well-developed MOOC. Essentially, a course knowledge graph is a MOOC that has been optimized for course operation; in terms of resource construction, it is no different from traditional MOOCs. The rice is still the same rice; previously it was made into cooked rice, and now it is made into rice noodles.
2. It is advisable to participate in training for knowledge graph construction beforehand. By learning, one can establish a perceptual understanding and grasp the underlying logic. Then, during the actual construction process, timely adjustments and optimizations can be made. Additionally, learning can provide some toolbox-like accelerated products.
3. It is best to conduct systematic planning in advance. Only with sufficient prior planning can one avoid detours during the construction process. This planning mainly involves resource directory planning, knowledge point sorting (which I prefer to understand as knowledge nodes), and node attribute design.
4. It is advisable to prepare a task list in advance. While constructing knowledge graphs is not difficult, it is sufficiently complex. Especially during the first construction, it is inevitable to overlook some aspects. One can list the tasks as 1, 2, 3, and logically rehearse on paper before optimizing and implementing them one by one. For example, uploading resources, sorting knowledge nodes (knowledge points), framework construction, editing chapter learning tasks, linking knowledge point learning with test questions, adding tags, editing and publishing assignments and exams, and trial operations.
2. Three Thoughts on Sorting Knowledge Node Relationships
If we were to rank the difficulty of tasks in the entire construction work, the most challenging would likely be sorting knowledge nodes, especially setting relationships between nodes (sequential or relevant relationships). For this work, I provide three thoughts for your reference.
1. Label knowledge nodes with keywords to find associations between nodes. A node is a relatively independent knowledge package, and we can select a few representative keywords from this package to describe it. After labeling each knowledge node with keywords, those nodes with the same or similar keywords are generally related. Once we find related knowledge points, we can more easily identify the attributes of this relationship (whether sequential or relevant).
2. Use expert consultation methods (Delphi method), seeking help from several peers to assist in sorting or confirming relationships.
3. Set relationships between knowledge nodes according to your own or expert-consulted plan and then implement the teaching.After one round of the course, conduct statistical analysis of course data, especially the student mastery rate, to identify strongly related knowledge nodes and adjust their relationship attributes for optimization.
Regarding the sorting of knowledge nodes, it should be noted that when we refer to a specific textbook to build a knowledge graph, the logical and sequential nature of the textbook itself provides certain rules for the precedence or succession relationships. Generally, earlier knowledge nodes tend to have more subsequent relationships, while later knowledge nodes tend to have more preceding relationships. Additionally, as a course, the boundaries are always limited, and the associations between knowledge nodes are generally not too rich; there is no need to deliberately pursue a complex graph.
★Source: Educational Technology Frontier, Author: Cao Dianbo
★Typesetting: Zhang Yangyang; Proofreading: Guo Jing; Review: Yang Qi
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