A Logic Framework for Reasoning towards Better Learning Outcomes in Education
Purchase or Subscription required for access
Purchase individual articles and papers
Receive full-text access to individual articles for $9.95 USD each.
Use PayPal button to purchase PDF copy of paper (8 pages)
Subscribe for faster access!
Subscribe and receive access to 100,000+ documents, for only $19/month (or $150/year).
Already have access?
Individual Subscription
If you have an individual subscription, sign in here for access
Institutional Subscription
You don't appear to be accessing the site through a subscribing institution (your IP address is 3.138.119.142).
If your university, college, or library subscribes to LearnTechLib, you may be able access full text articles through a login page.
You can search for your instition by name or by location.
Author
E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, Nov 14, 2016 in Washington, DC, United States
Abstract
In this paper, we present a logic framework intended to be used by intelligent agents in online education to formalise the relationships among all involved objects, including all parties, learning contents, the interests and personalities of learners, learning goals and career goals of learners, and other elements involved, and most importantly, to reason for each specific learner to develop and present the most useful learning curriculum and learning contents in the most appropriate style, in order to achieve the best possible learning outcomes. We will identify the objects and relationships among these objects, as well as some rules that can be used for reasoning.
Citation
Wang, H. (2016). A Logic Framework for Reasoning towards Better Learning Outcomes in Education. In Proceedings of E-Learn: World Conference on E-Learning (pp. 793-801). Washington, DC, United States: Association for the Advancement of Computing in Education (AACE). Retrieved August 10, 2024 from https://www.learntechlib.org/p/174146.
© 2016 AACE