@inproceedings{af8a7d1597244f619e4336dcec26b2d9,
title = "Model-based characterization of text discourse content to evaluate online group collaboration",
abstract = "This paper presents a model that characterizes textual discourse contents of online groups and provides a visualization of the level of collaboration within groups. This approach is envisioned to provide an insight into a real-time intervention to scaffold collaboration within online learning groups.",
keywords = "discourse content, joint problem-solving, online groups, agents, artificial intelligence, collaborative learning, computational linguistics, processing user interfaces, computer aided instruction, semantics signal, data mining, education, neural networks, education computing, Human-Computer Interaction (HCI), Natural Language Processing (NLP), intelligent tutoring system, machine learning, learning algorithms, learning experiences, learning environments, Online groups, Joint problem-solving, Discourse content",
author = "Adetunji Adeniran and Judith Masthoff and Nigel Beacham",
year = "2019",
doi = "10.1007/978-3-030-23207-8_1",
language = "English",
isbn = "9783030232061",
volume = "2",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag",
pages = "3--8",
editor = "Seiji Isotani and Eva Mill{\'a}n and Amy Ogan and Peter Hastings and Bruce McLaren and Rose Luckin",
booktitle = "Artificial Intelligence in Education",
note = "20th International Conference on Artificial Intelligence in Education, AIED 2019 ; Conference date: 25-06-2019 Through 29-06-2019",
}