BBookX: Design of an Automated Web-based Recommender System for the Creation of Open Learning Content

@article{Pursel2016BBookXDO,
  title={BBookX: Design of an Automated Web-based Recommender System for the Creation of Open Learning Content},
  author={Bart Pursel and Chen Liang and Shuting Wang and Zhaohui Wu and Kyle Williams and Benjamin Br{\"a}utigam and Sherwyn Saul and Hannah Williams and Kyle Bowen and C. Lee Giles},
  journal={Proceedings of the 25th International Conference Companion on World Wide Web},
  year={2016}
}
  • B. Pursel, Chen Liang, C. Lee Giles
  • Published 11 April 2016
  • Computer Science
  • Proceedings of the 25th International Conference Companion on World Wide Web
We describe BBookX, a web-based tool that uses a human-computing approach to facilitate the creation of open source textbooks. The goal of BBookX is to create a system that can search various Open Educational Resource (OER) repositories such as Wikipedia, based on a set of user-generated criteria, and return various resources that can be combined, remixed, and re-used to support specific learning goals. As BBookX is a work-in-progress, we are in the midst of a design-based research study, where… 
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References

SHOWING 1-10 OF 18 REFERENCES
BBookX: An Automatic Book Creation Framework
TLDR
BBookX is proposed, a novel computer facilitated system that automatically and collaboratively builds free open online books using publicly available educational resources such as Wikipedia.
BBookX: Building Online Open Books for Personalized Learning
TLDR
BBookX is demonstrated, a novel system that automatically builds in collaboration with a user online open books by searching open educational resources (OER) by using retrieval technologies to dynamically generate zero-cost materials such as textbooks for personalized learning.
VizRec: A Two-Stage Recommender System for Personalized Visualizations
TLDR
A crowd based evaluation is presented and it is shown how a model of preferences can be elicited and built for VizRec, a novel approach combining recommender systems (RS) and visualizations that suggests personalized visual representations for recommended data.
Solr in Action
TLDR
Solr in Action teaches you to implement scalable search using Apache Solr to master topics like text analysis, faceted search, hit highlighting, result grouping, query suggestions, multilingual search, advanced geospatial and data operations, and relevancy tuning.
Recommender Systems
TLDR
Recommender systems can be defined as programs which attempt to recommend the most suitable items (products or services) to particular users (individuals or businesses) by predicting a user’s interest in an item based on related information about the items, the users and the interactions between items and users.
Crowdsourced Comprehension: Predicting Prerequisite Structure in Wikipedia
TLDR
This work proposes to address the task of helping readers comprehend complex technical material, by using statistical methods to model the "prerequisite structure" of a corpus --- i.e., the semantic impact of documents on an individual reader's state of knowledge.
Assembling Learning Objects for Personalized Learning: An AI Planning Perspective
TLDR
The general requirements for course adaptation, the full potential of applying planning techniques on the construction of personalized e-learning routes, and how to accommodate the temporal and resource constraints to make the course applicable in a real scenario are described.
Jumping NLP Curves: A Review of Natural Language Processing Research [Review Article]
TLDR
This survey article reinterprets the evolution of NLP research as the intersection of three overlapping curves-namely Syntactics, Semantics, and Pragmatics Curves which will eventually lead NLPResearch to evolve into natural language understanding.
Factorization Machines with libFM
Factorization approaches provide high accuracy in several important prediction problems, for example, recommender systems. However, applying factorization approaches to a new prediction problem is a…
Open Content and Open Educational Resources: Enabling universal education
The role of distance education is shifting. Traditionally distance education was limited in the number of people served because of production, reproduction, and distribution costs. Today, while it…
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