MOOCCube: A large-scale data repository for NLP applications in MOOCs
Abstract The prosperity of Massive Open Online Courses (MOOCs) provides fodder for many
NLP and AI research for education applications, eg, course concept extraction, prerequisite …
NLP and AI research for education applications, eg, course concept extraction, prerequisite …
Prerequisite relation learning for concepts in moocs
What prerequisite knowledge should students achieve a level of mastery before moving
forward to learn subsequent coursewares? We study the extent to which the prerequisite …
forward to learn subsequent coursewares? We study the extent to which the prerequisite …
Knowledge graphs in education and employability: A survey on applications and techniques
Studies on the relationship between education and employability are of paramount
importance for policy makers, training institutions, companies and students. The availability …
importance for policy makers, training institutions, companies and students. The availability …
Recovering concept prerequisite relations from university course dependencies
Prerequisite relations among concepts play an important role in many educational
applications such as intelligent tutoring system and curriculum planning. With the increasing …
applications such as intelligent tutoring system and curriculum planning. With the increasing …
Investigating active learning for concept prerequisite learning
Abstract Concept prerequisite learning focuses on machine learning methods for measuring
the prerequisite relation among concepts. With the importance of prerequisites for education …
the prerequisite relation among concepts. With the importance of prerequisites for education …
MOOCCubeX: a large knowledge-centered repository for adaptive learning in MOOCs
The prosperity of massive open online courses provides fodder for plentiful research efforts
on adaptive learning. However, current open-access educational datasets are still far from …
on adaptive learning. However, current open-access educational datasets are still far from …
A neural citation count prediction model based on peer review text
Citation count prediction (CCP) has been an important research task for automatically
estimating the future impact of a scholarly paper. Previous studies mainly focus on extracting …
estimating the future impact of a scholarly paper. Previous studies mainly focus on extracting …
What should i learn first: Introducing lecturebank for nlp education and prerequisite chain learning
Recent years have witnessed the rising popularity of Natural Language Processing (NLP)
and related fields such as Artificial Intelligence (AI) and Machine Learning (ML). Many online …
and related fields such as Artificial Intelligence (AI) and Machine Learning (ML). Many online …
Concept extraction and prerequisite relation learning from educational data
W Lu, Y Zhou, J Yu, C Jia - Proceedings of the AAAI Conference on …, 2019 - ojs.aaai.org
Concept Extraction and Prerequisite Relation Learning from Educational Data Page 1 The Ninth
AAAI Symposium on Educational Advances in Artificial Intelligence (EAAI-19) Concept …
AAAI Symposium on Educational Advances in Artificial Intelligence (EAAI-19) Concept …
Tutorialbank: A manually-collected corpus for prerequisite chains, survey extraction and resource recommendation
The field of Natural Language Processing (NLP) is growing rapidly, with new research
published daily along with an abundance of tutorials, codebases and other online …
published daily along with an abundance of tutorials, codebases and other online …