Educational data mining: a review of the state of the art
Educational data mining (EDM) is an emerging interdisciplinary research area that deals
with the development of methods to explore data originating in an educational context. EDM …
with the development of methods to explore data originating in an educational context. EDM …
Learning styles assessment and theoretical origin in an E-learning scenario: a survey
L Jegatha Deborah, R Baskaran, A Kannan - Artificial Intelligence Review, 2014 - Springer
The performance of the learners in E-learning environments is greatly influenced by the
nature of the posted E-learning contents. In such a scenario, the performance of the learners …
nature of the posted E-learning contents. In such a scenario, the performance of the learners …
Data mining in course management systems: Moodle case study and tutorial
Educational data mining is an emerging discipline, concerned with developing methods for
exploring the unique types of data that come from the educational context. This work is a …
exploring the unique types of data that come from the educational context. This work is a …
Temporal emotion-aspect modeling for discovering what students are concerned about in online course forums
Textual data, as a key carrier of learning feedback, is continuously produced by many
students within course forums. The temporal nature of discussion requires students' …
students within course forums. The temporal nature of discussion requires students' …
A classification-based approach to question answering in discussion boards
L Hong, BD Davison - Proceedings of the 32nd international ACM SIGIR …, 2009 - dl.acm.org
Discussion boards and online forums are important platforms for people to share
information. Users post questions or problems onto discussion boards and rely on others to …
information. Users post questions or problems onto discussion boards and rely on others to …
Can online discussion participation predict group project performance? Investigating the roles of linguistic features and participation patterns
J Yoo, J Kim - International Journal of Artificial Intelligence in …, 2014 - Springer
Although many college courses adopt online tools such as Q&A online discussion boards,
there is no easy way to measure or evaluate their effect on learning. As a part of supporting …
there is no easy way to measure or evaluate their effect on learning. As a part of supporting …
[PDF][PDF] Automatically assessing the post quality in online discussions on software
M Weimer, I Gurevych… - Proceedings of the 45th …, 2007 - aclanthology.org
Assessing the quality of user generated content is an important problem for many web
forums. While quality is currently assessed manually, we propose an algorithm to assess the …
forums. While quality is currently assessed manually, we propose an algorithm to assess the …
Speech-acts based analysis for requirements discovery from online discussions
Online discussions about software applications and services that take place on web-based
communication platforms represent an invaluable knowledge source for diverse software …
communication platforms represent an invaluable knowledge source for diverse software …
Web forum retrieval and text analytics: A survey
This survey presents an overview of information retrieval, natural language processing and
machine learning research that makes use of forum data, including both discussion forums …
machine learning research that makes use of forum data, including both discussion forums …
Sentiment polarity detection in bengali tweets using multinomial Naïve Bayes and support vector machines
K Sarkar, M Bhowmick - 2017 IEEE Calcutta Conference …, 2017 - ieeexplore.ieee.org
Sentiment analysis is an area of study that deals with extraction, identification or otherwise
characterization of the sentiment content of written text units. Sentiment is meant by feelings …
characterization of the sentiment content of written text units. Sentiment is meant by feelings …